United States
Environmental
Protection Agency
Region 4 Science & Ecosystem
Support Division and Water Manage-
ment Division and
Office of Research and Development
EPA904-R-01-003
September 2001
South Florida Ecosystem Assessment:
Phase l/ll (Technical Report) -
Everglades Stressor Interactions:
Hydropatterns, Eutrophication, Habitat
Alteration, and Mercury Contamination
Monitoring for Adaptive Management:
Implications for Ecosystem Restoration
September 30, 2001
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The South Florida Ecosystem Assessment was conducted by the United States
Environmental Protection Agency Region 4 in partnership with the Florida International
University Southeast Environmental Research Center, FTN Associates Ltd., and Battelle Marine
Sciences Laboratory. Additional cooperating agencies include the National Park Service, the
United States Fish and Wildlife Service, the United States Geological Survey, The Florida
Department of Environmental Protection, the South Florida Water Management District and the
Florida Fish and Wildlife Conservation Commission. The Miccosukee Tribe of Indians of
Florida and the Seminole Tribe of Indians allowed sampling to take place on their federal
reservations within the Everglades.
us.
FISH i WILDLIFE
nSSOCIOTGS Ltd.
Southeast Environmental
Research Center
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EPA904-R-01-003
September 2001
SOUTH FLORIDA
ECOSYSTEM ASSESSMENT:
Phase l/ll (Technical Report) -
Everglades Stressor Interactions: Hydropatterns,
Eutrophication, Habitat Alteration, and
Mercury Contamination
by
Q. J. Stober1, K. Thornton2, R. Jones3, J. Richards4,
C. Ivey3, R. Welch5, M. Madden5, J. Trexler4, E. Gaiser3,
D. Scheldt6 and S. Rathbun7
1Project Manager, U.S. Environmental Protection Agency, Region 4, Science and
Ecosystem Support Division, Athens, GA; 2FTN Associates, Ltd., Little Rock, AR; 3Florida
International University, Southeast Environmental Research Center, Miami, FL; 4Florida
International University, Department of Biological Sciences, Miami, FL; 5University of
Georgia, Department of Geography, Center for Remote Sensing and Mapping Science
(CRMS), Athens, GA; 6U.S. Environmental Protection Agency, Region 4, Water
Management Division, South Florida Office, West Palm Beach, FL; 7University of Georgia,
Department of Statistics, Athens, GA
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ACKNOWLEDGEMENTS
Participants in USEPA Region 4
Everglades Assessment Project
USEPA Region 4
Program Offices
APTMD
J. Ackerman
L. Anderson-Carnahan
D. Dubose
L. Page
ORC
P. Mancusi-Ungaro
SESD
A. Auwarter
G. Bennett
B. Berrang
M. Birch
J. Bricker
G. Collins
D. Colquitt
J. Davee
C. Halbrook
R. Howes
P. Kalla
D. Kamens
B. Lewis
P. Mann
W. McDaniel
P. Meyer
D. Norris
M. Parsons
B. Noakes
B. Pruitt
J. Scifres
S. Sims
T. Slagle
T. Stiber
D. Smith
M. Wasko
WMD
M. Flexner
H. Johnson
J. Negron
D. Powell
E. Sommerville
USEPA - Office of Research
and Development
NHEERL
K. Summers
T. Olsen
NERL-RTP
R. Linthurst
J. Messer
R. Stevens
R. Bullock
J. Pinto
NERL-ATHENS
R. Ambrose
R. Araujo
C. Barber
L. Burns
N. Loux
Florida International
Universitv-SERC
A. Alii
M. Bascoy
N. Black
Y. Cai
D. Diaz
A. Edwards
C.Ivey
R. Jaffe
A. Jelensky
W. Loftus
J. Lopez
P. Lorenzo
I. MacFarlane
L. Scinto
R. Taylor
J. Thomas
C. Ugarte
University of Georgia
A. Homsey
University of Florida
P. Frederick
Florida Department of
Environmental Protection
T. Atkeson
Florida Fish & Wildlife
Conservation Commission
T. Lange
South Florida Water
Management District
L. Fink
D. Rumbold
Contractors
J. Maudsley, Mantech
B. Heinish, Mantech
L. Dorn, Mantech
M. Weirich,Mantech
D. Stevens, Mantech
S. Ponder, ILS
B. Simpson, ILS
K. Simmons, ILS
S. Pilcher, ILS
J. Benton, FTN Assoc, Ltd.
B. Frank, FTN Assoc, Ltd.
L. Gandy, FTN Assoc, Ltd.
C. Laurin, FTN Assoc, Ltd.
L. Lewis, FTN Assoc, Ltd.
D. Lincicome, FTN Assoc, Ltd.
J. Malcolm, FTN Assoc, Ltd.
S. Phillips, FTN Assoc, Ltd.
M. Ruppel, FTN Assoc, Ltd.
N. Siria, FTN Assoc, Ltd.
E. Crecelius, Battelle Marine
Sciences
B. Lasorsa, Battelle Marine
Sciences
Funding for this Regional
Environmental Monitoring &
Assessment (REMAP) Project was
provided by the United States
Environmental Protection Agency
Region 4 South Florida Office,
West Palm Beach; the Office of
Water; the Office of Research and
Development; and the United
States Department of Interior,
National Park Service.
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LIST OF ABBREVIATIONS
ac-ft = acre feet
ACME = Aquatic Cycling of Mercury in the Florida Everglades
AFDW = ash free dry weight
APTMD = Air, Pesticides, and Toxics Management Division
BAF = bioaccumulation factor
BASS = Bioaccumulation and Aquatic System Simulator Model
BMP = Best Management Practices
CERP = Comprehensive Everglades Restoration Program
cm = centimeter
culm = the stem of a grass-like plant
EAA = Everglades Agricultural Area
EMAP = Environmental Monitoring and Assessment Program
ENP = Everglades National Park
FDEP = Florida Department of Environmental Protection
FIU SERC = Florida International University—Southeastern Environmental Research Center
Floe = particulate organic matter suspended in the water column above the soil surface
GIS = geographic information system
Hg = mercury
HgO = elemental mercury
Hgll = inorganic mercury
kg/yr = kilogram per year
Kg = kilogram
km = kilometer
LOX = Loxahatchee National Wildlife Refuge
m = meter
MeHg = methylmercury
mg/kg = parts per million (ppm)
mg/L = milligram per liter (ppm)
mi = mile
NAWQA = National Water-Quality Assessment Program
NERL - Athens = National Exposure Research Laboratory - Athens, Ga
ng/L = nanogram per liter (ppt)
NHEERL - RTF = National Health and Environmental Exposure Research Laboratory - Research Triangle Park, NC
NFS = National Park Service
ORC = Office of Regional Counsel
% OM = percent organic matter
peri = periphyton
ppb = parts per billion (ug/L)
ppm = parts per million (mg/L)
ppt = parts per trillion (ng/L)
PS = periphyton (soil)
PU = periphyton (Utricularia)
REMAP = Regional Environmental Monitoring and Assessment Program
S2" = sulfide
SESD = Science and Ecosystem Support Division
SFWMD = South Florida Water Management District
SFWMM = South Florida Water Management Model
SRB = sulfate reducing bacteria
STAs = Storm water Treatment Areas
TP = total phosphorus
ug/kg = parts per billion (ppb)
ug/m2 = microgram per meter squared
ug/L = microgram per liter (ppb)
uMol/hr = micromoles per hour
UPGMA = unweighted pair group mean averaging
US EPA = United States Environmental Protection Agency
USGS = United States Geological Survey
WCA = Water Conservation Area
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TABLE OF CONTENTS
1.0 INTRODUCTION 1-1
1.1 Purpose 1-1
1.2 EPA Region 4 South Florida Ecosystem Assessment Project 1-1
1.3 Mercury Contamination 1-3
1.4 Everglades Ecosystem Restoration 1-4
1.5 Long-term Monitoring and Adaptive Assessment 1-5
1.6 Report Organization 1-7
2.0 STUDY DESIGN 2-1
2.1 Phase I Design 2-1
2.2 Phase II Design Modifications 2-2
3.0 MATERIALS AND METHODS 3-1
3.1 Field Procedures and Methods 3-1
3.1.1 Logistical Rationale and Needs 3-1
3.1.2 Sampling Apparatus and Procedures 3-1
3.2 Sample Preparation Procedures and Laboratory Analyses 3-7
3.2.1 Water and Pore Water 3-8
3.2.2 Soil 3-8
3.2.3 Floe 3-9
3.2.4 Mosquitofish 3-9
3.2.5 Macrophytes 3-9
3.2.6 Periphyton and Diatoms 3-11
3.3 QA/QC 3-12
3.3.1 Accuracy and Bias 3-13
3.3.2 Precision 3-13
3.3.3 Comparability 3-14
3.3.4 Completeness 3-14
3.3.5 Representativeness 3-14
3.3.6 Tolerable Background Levels 3-15
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TABLE OF CONTENTS (CONTINUED)
3.3.7 Data Quality Objectives 3-15
3.4 Database Exploration and Analyses 3-16
3.4.1 Data Verification and Validation 3-16
3.4.2 Statistical Analyses 3-16
3.4.3 Media Specific Statistical Analyses 3-18
3.5 Mass Estimates 3-24
3.6 Ecological Risk Assessment 3-25
4.0 MACROPHYTES 4-1
4.1 Aerial Photo Vegetation Assessment 4-1
4.2 Plant Community Census 4-4
4.2.1 Species Frequency Among Transects 4-4
4.2.2 Unidentified Species 4-4
4.2.3 Cluster Analysis Results 4-5
4.2.4 Analysis of Clusters in Subareas 4-7
4.2.5 Individual Species Distributions 4-10
4.2.6 Association of Clusters with Nutrients and Hydroperiod 4-13
4.2.7 Relation of Species Presence to Soil TP and AFDW 4-14
4.3 Morphometric Indicators 4-15
4.3.1 Variation Among Morphological Parameters 4-15
4.3.2 Spatial Variation in Morphology 4-17
4.3.3 Analysis of Variation Among Soil Parameters 4-17
4.3.4 Correlation of Soil Data with Morphological Data 4-18
4.3.5 Correlation of Plant Tissue Nutrients to Soil and Morphological
Parameters 4-19
4.3.6 Correlations of Hydroperiod Parameters to Plant Morphology and Soil
Physicochemistry 4-20
4.3.7 Summary of Morphometric Indicators 4-21
4.4 Summary and Conclusions 4-23
11
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TABLE OF CONTENTS (CONTINUED)
5.0 PERIPHYTON DISTRIBUTION 5-1
5.1 Periphyton Importance in the Everglades Ecosystem 5-1
5.2 Periphyton Presence and Growth Form 5-2
5.3 Diatom Species Composition 5-2
5.4 Environmental Associations of Diatom Assemblages 5-3
5.5 Indicator Species 5-4
5.6 Conclusions and Recommendations 5-6
6.0 LANDSCAPE PATTERNS 6-1
6.1 Water Regime 6-1
6.1.1 Precipitation 6-2
6.1.2 Water Depth 6-2
6.2 Surface Water Quality 6-5
6.2.1 pH 6-6
6.2.2 Conductivity 6-6
6.2.3 Chloride 6-7
6.2.4 Sulfate 6-8
6.2.5 Sulfide 6-9
6.2.6 Total Organic Carbon 6-9
6.2.7 Total Phosphorus 6-10
6.2.8 Total Nitrogen 6-10
6.2.9 Total Mercury 6-11
6.2.10 Methyl Mercury 6-11
6.3 Porewater 6-12
6.3.1 Sulfide 6-12
6.4 Floe 6-13
6.4.1 Ash Free Dry Weight 6-13
6.4.2 Mineral Content 6-13
6.4.3 Total Phosphorus 6-13
6.4.4 Total Mercury 6-14
in
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TABLE OF CONTENTS (CONTINUED)
6.4.5 Methyl Mercury 6-14
6.5 Soil Patterns 6-14
6.5.1 Soil Depth 6-15
6.5.2 Soil Subsidence/Accretion 6-15
6.5.3 Ash Free Dry Weight 6-15
6.5.4 Mineral Content 6-16
6.5.5 Average Corrected Redox 6-16
6.5.6 Total Phosphorus 6-17
6.5.7 Total Sulfate 6-17
6.5.8 Total Mercury 6-18
6.5.9 Methyl Mercury 6-18
6.6 Periphyton Mercury 6-19
6.6.1 Average Total Mercury 6-19
6.6.2 Average Methyl Mercury 6-19
6.7 Macrophyte Mercury 6-20
6.7.1 Cattail Total Mercury 6-20
6.7.2 Sawgrass Total Mercury 6-20
6.8 Mosquitofish, Food Webs, and Bioaccumulation 6-20
6.8.1 Mosquitofish Total Mercury 6-21
6.8.2 Bioaccumulation 6-21
6.8.3 Food Webs 6-22
6.9 Mass Estimates 6-27
6.10 Landscape Summary 6-32
7.0 RISK HYPOTHESES ANALYSIS AND EVALUATION 7-1
7.1 Conceptual Models and Risk Hypotheses 7-1
7.1.1 South Florida Ecosystem Areas 7-1
7.1.2 Conceptual Models 7-1
7.1.3 Conceptual Model Testing 7-3
7.2 Exploratory Analyses 7-3
IV
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TABLE OF CONTENTS (Continued)
7.2.1 South Florida Ecosystem 7-4
7.2.2 North of Alligator Alley 7-4
7.2.3 Alligator Alley to Tamiami Trail 7-5
7.2.4 South of Tamiami Trail 7-5
7.3 Path Analysis 7-6
7.3.1 North of Alligator Alley 7-6
7.3.2 Alligator Alley to Tamiami Trail 7-8
7.3.3 South of Tamiami Trail 7-9
7.4 Alternative Risk Hypotheses and Paths 7-11
7.4.1 Alternative Structural Equation Models 7-11
7.4.2 Path Analysis Using Floe 7-11
7.4.3 Path Analysis for WCA3-SE and WCA3-SW 7-12
7.5 Synthesis 7-13
.0 MERCURY ECOLOGICAL RISK ASSESSMENT 8-1
8.1 EPA Ecological Risk Assessment Framework 8-1
8.2 Problem Formulation 8-2
8.2.1 Spatial and Temporal Patterns of Mercury 8-2
8.2.2 Assessment Endpoints 8-4
8.2.3 Conceptual Model 8-5
8.2.4 Design and Planning 8-5
8.3 Analysis 8-6
8.3.1 Measures of Exposure 8-6
8.3.2 Measures of Ecosystem and Receptor Characteristics 8-7
8.3.3 Measures of Effects 8-7
8.3.4 Exposure Analysis 8-8
8.3.5 Ecological Response Analysis 8-8
8.3.6 Exposure Profile 8-8
8.3.7 Stressor-ResponseProfiles 8-10
8.4 Risk Characterization 8-11
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TABLE OF CONTENTS (Continued)
9.0 POLICY AND MANAGEMENT IMPLICATIONS 9-1
9.1 Hydroperiod Management 9-1
9.2 Nutrient Loading 9-2
9.3 Habitat Management 9-3
9.4 Mercury Contamination 9-6
9.4.1 How Big is the Problem (Magnitude)? 9-6
9.4.2 What is the Extent of the Problem (Extent)? 9-6
9.4.3 Is it Getting Better or Worse over Time (Trends)? 9-7
9.4.4 What is Causing the Problem (Causation) 9-8
9.4.5 What are the Sources of the Problem (Sources)? 9-8
9.4.6 What is the Risk to the Ecosystem (Risks)? 9-9
9.4.7 What Can We Do About The Problem (Management)? 9-9
10.0 REFERENCES CITED 10-1
VI
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LIST OF TABLES
Table 2.1. Comparison of within versus among site variance 2-4
Table 3.1. REMAP Phase II critical parameters by cycle 3-26
Table 3.2. REMAP Phase II noncritical parameters by cycle 3-27
Table 3.3. Measurement and analytical methods for Phase II laboratories 3-29
Table 4.1. Percent cover of major vegetation classes by region, cycles 4 & 5 combined. 4-25
Table 4.2. Percent cover of major vegetation classes by latitudinal zone, cycles 4 & 5
combined 4-25
Table 4.3. Percent cover of vegetation in monitoring sites and corresponding areas in
existing databases 4-25
Table 4.4. Species identified during Phase 2 sampling 4-26
Table 4.5. Frequency of species present among transects 4-30
Table 4.6 Frequency among 418 transects of the 15 most common species 4-30
Table 4.7. Distribution of species among Systematic Groups 4-31
Table 4.8. Summary data on the number of species per transect. Data include known and
unknown species (Nspring = 418 = 178; Nfall = 240) 4-31
Table 4.9. Distribution among sites and transects of unidentified species from plant
census 4-31
Table 4.10. Species composition and frequency within each cluster (names associated with
species codes given in Table 4.4) 4-32
Table 4.11. Classification of sites in complete data set by cluster and subarea within
cluster 4-33
Table 4.12. Five most common species in each of the 4 large clusters in the total data set 4-43
Table 4.13. Number of transects, species, and species per transect for each subarea, excluding
the Rotenberger-Holeyland (Rot-Hoi) tract 4-45
Table 4.14. Subarea 1 Clusters. Names associated with species codes given in Table 4.4 4-46
Table 4.15. Subarea 2 Clusters. Names associated with species codes given in Table 4.4 4-47
Table 4.16. Subarea 3 Clusters. Names associated with species codes given in Table 4.4 4-48
vn
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LIST OF TABLES (Continued)
Table 4.17. Subarea 4 Clusters. Names associated with species codes given in Table 4.4 4-49
Table 4.18. Subarea 5 Clusters. Names associated with species codes given in Table 4.4 4-50
Table 4.19. Subarea 6 Clusters. Names associated with species codes given in Table 4.4 4-51
Table 4.20. Subarea 7 Clusters. Names associated with species codes given in Table 4.4 4-52
Table 4.21. Abiotic factors associated with the 4 major clusters. Data from sites with only 1
type of cluster 4-53
Table 4.22. Means (S.E.) of measurements used to study morphological variation in Cladium
jamaiceme and Sagittaria lancifolia collected from the Florida Everglades . 4-54
Table 4.23. Covariance of parameters used to study morphological variation in Cladium
jamaicense and Sagittaria lancifolia collected from the Florida Everglades . 4-54
Table 4.24. Eigenvectors of the first (PCI) and second (PC2) principal components from an
analysis of morphometric variation in Cladium jamaicense and Sagittaria
lancifolia collected from the Florida Everglades 4-55
Table 4.25. Results from a nested analysis of variance of first (PCI) and second (PC2)
principal components of morphological data from Cladium jamaicense collected
in the Florida Everglades 4-55
Table 4.26. Results from a nested analysis of variance of first (PCI) and second (PC2)
principal components of morphological data from Sagittaria lancifolia collected
in the Florida Everglades 4-56
Table 4.27. Differences among subareas in Cladium jamaicense morphological parameters.
Mean (S.E.) of site averages for each subarea; N = no. of sites/subarea 4-57
Table 4.28. Differences among subareas in Sagittaria lancifolia morphological parameters.
Mean (S.E.) of site averages for each subarea; N = no. of sites/subarea 4-57
Table 4.29. Means (S.E.) of soil physical and chemical characteristics at sites in the Florida
Everglades from which Cladium jamaicense and Sagittaria lancifolia were
collected 4-58
Table 4.30. Covariance of soil physical and chemical characteristics at sites in the Florida
Everglades from which Cladium jamaicense and Sagittaria lancifolia were
collected 4-58
Vlll
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LIST OF TABLES (Continued)
Table 4.31. Eigenvectors of the first (PCI) and second (PC2) principal components from
analysis of soil physical and chemical characteristics at sites from which Cladium
jamaicense and Sagittaria lancifolia were collected in the Florida Everglades.4-59
Table 4.32. Spearman's rank-sum correlation coefficients for the relationships between the
first (PCI) and second (PC2) principal component scores for plant morphometric
data and soil physicochemical data at sites in the Florida Everglades from which
Cladium jamaicense and Sagittaria lancifolia were collected. aP < 0.01, bP <
0.0001 4-59
Table 4.33. Pairwise Spearman's rank-sum correlation coefficients for plant morphological
and soil physicochemical parameters used in principal component analysis based
on Cladium jamaicense and Sagittaria lancifolia plants collected in the Florida
Everglades. aP < 0.05; bP < 0.01; CP < 0.001; dP < 0.0001 4-60
Table 4.34. Spearman's rank-sum correlation coefficients for the relationships between S.
lancifolia leaf % nutrient content and the first (PCI) and second (PC2) principal
component scores for plant morphometric data and soil physicochemical data at
sites from which plants were collected in the Florida Everglades. Data are from
Cycle 4 sampling period only. aP < 0.05; bP < 0.005, CP < 0.0001 4-61
Table 4.35. Spearman's rank-sum correlation coefficients for the relationships between C.
jamaicense leaf nutrient content and the first (PCI) and second (PC2) principal
component scores for plant morphometric data and soil physicochemical data at
sites from which plants were collected in the Florida Everglades. Nutrient data
are a subset of Cycle 5 sampling period and represent bulk samples by site. aP <
0.055, bP < 0.05, CP < 0.01, dP < 0.0001 4-61
IX
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LIST OF TABLES (Continued)
Table 4.36. Mean (S.E.) values for five measures of hydroperiod among seven subareas of the
Florida Everglades. Means are based on midpoints of categorized model output
(see Methods). Hydroperiod codes: 1) mean annual number of days of
inundation, 2) number of days of inundation in 1989, 3) mean annual water
depth, 4) mean water depth during the month of May, and 5) mean water depth
during the month of October 4-62
Table 4.37. Spearman's rank-sum correlation coefficients for relationships among five
variables measuring hydroperiod in the Florida Everglades. Analysis is based on
midpoints of categorized model output (see Methods). P < 0.0001 for all
correlations 4-62
Table 4.38. Spearman's rank-sum correlation coefficients for relationships between mean
annual water depth and morphological characteristics of Cladium jamaicense and
Sagittaria lancifolia, as well as soil physicochemical characteristics, at sites from
which plants were collected in the Florida Everglades. aP < 0.05; bP < 0.0001 4-63
Table 5.1. Diatom taxa collected during 1999 REMAP sampling and their associated mean
relative abundance (percent), frequency of occurrence (of 153 sites) and cluster
group affiliation from sample cycles 4 and 5. Diatoms having a significant
(p<0.05) cluster affiliation are sesignated with an * 5-8
Table 5.2. Means of environmental parameters for sites with diatom assemblage cluster 1-5
identified from Bray-Curtis, farthest-neighbor distance analysis of relative
abundances of diatom taxa collected during Cycle 4. Only environmental
parameters that differed significantly among clusters are shown. Highest and
lowest mean values among the 5 clusters are shown in boldface type for each
parameter. Numbers in superscript designate clusters with significantly higher or
lower values than the given mean 5-11
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LIST OF TABLES (Continued)
Table 5.3. Means of environmental parameters for sites with diatom assemblage clusters 1-5
identified from Bray-Curtis, farthest-neighbor distance analysis of relative
abundances of diatom taxa collected during Cycle 5. Only environmental
parameters that differed significantly among clusters are shown. Highest and
lowest mean values among the 5 clusters are shown in boldface type for each
parameter. Numbers in superscript designate clusters with significantly higher or
lower values than the given mean 5-12
Table 6.1. Precipitation summaries for the 9 stations used to establish the long-term norm
and baseline precipitation conditions 6-32
Table 6.2. Surface water, floe, soil, and tissue medians and 95% CI by Everglades ecosystem
subarea for Phase I (1995-1996) wet and dry seasons and Phase II (1999) wet and
dry seasons 6-33
Table 6.3. Comparisons of Phase I and II median wet season parameters measured on a
landscape scale by subareas in the flow path. Subareas are designated by Lox =
1, WCA2 = 2, WCA3-N = 3, WCA3-SE = 4, WCA3-SW = 5, Shark Slough = 6
and Taylor Slough = 7 6-35
Table 6.4. Summary of mosquitofish gut contents are reported by sampling period. N
indicates sample size. The average proportion of each food category relative to
total contents (wet weight) is reported for the 6 food categories. Summary
indicates the total number of specimens or study sites examined, or the average
proportion or trophic value for the entire data set 6-38
Table 6.5. Matrix of Pearson correlation coefficients between food categories and trophic
score. The asterisks indicate correlations significant at the p = 0.05 level from
Bonferoni corrected tables 6-38
XI
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LIST OF TABLES (Continued)
Table 6.6. Regression analyses of the relationship of relative abundance of dietary
components to conductivity where mosquitofish were collected. Two analyses
yielded significant non-linear relationship, which is indicated by row with Cond2
to indicate second parameter in the model. All results were validated with logistic
regression 6-39
Table 6.7. Analysis of mercury concentration in the tissues of mosquitofish. The full model
explains 33.8% of the total variation in tissue mercury concentration. Total
sample size in this analysis was 152. CD is the coefficient of determination for
each factor in the model. Note that these sum to a larger total than explained by
the full model because of multicollinearity in the model parameters 6-39
Table 6.8. Mercury mass estimate models 6-40
Table 6.9. Everglades ecosystem total mercury mass estimates 6-41
Table 6.10. Everglades ecosystem methylmercury mass estimates (kg) 6-41
Table 7.1. Eigenvectors for the first (PC 1) and second (PC2) principal components between
Phase I and Phase II for selected variables 7-16
Table 7.2. Eigenvectors for the first (PCI) and second (PC2) principal components from
analysis of biotic and abiotic characteristics for the three subareas in Phase I and
Phase II 7-17
Table 7.3. Structural equations and risk hypotheses 7-18
Table 7.4. Comparison of processes and patterns between oligotrophic and eutrophic
systems 7-19
Table 8.1. Reduced form structural equations used to project changes in Gambusia mercury
concentrations based on selected management actions 8-13
Table 8.2. Comparison of observed versus predicted constituent concentrations using the
reduced form structural equations. Projected constituent concentrations
potentially resulting from nutrient BMPs and mercury emission controls changing
water TP and /or THg concentrations 8-14
xn
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LIST OF FIGURES
Figure 1.1. USGS satellite image of South Florida: light areas on the east indicate urban
areas; dark areas in the center are the remnant Everglades; the red area at the top
is the Everglades Agricultural Area and the western part of the image is Big
Cypress National Preserve
Figure 2.1. Site locations for May (Cycle 4) and September (Cycle 5) 1999 sampling
Figure 2.2. 750 sampling sites are located in over 2 million marsh acres
Figure 3.1. EPA South Florida Ecosystem Assessment Proj ect study area and locations of
pilot study, Cycle 4 and 5 monitoring sites
Figure 3.2. Sample vegetation map for a 1 km2 plot surrounding a single EPA monitoring site
Figure 3.3. Everglades Classification System legend
Figure 4.1. Major vegetation cover by region - Cycles 4 and 5 combined
Figure 4.2. Major vegetation cover by latitudinal zone - Cycles 4 and 5 combined
Figure 4.3. Map depicting spatial trends in major vegetation classes and summary statistics .
Figure 4.4. EPA South Florida Ecosystem Assessment Project study area and locations of
pilot study. Cycle 4 and Cycle 5 monitoring sites
Figure 4.5. Interpolation of cattail percent cover - Cycles 4 and 5
Figure 4.6. Interpolation of sawgrass percent cover - Cycles 4 and 5
Figure 4.7. Interpolation of wet prairie percent cover - Cycles 4 and 5
Figure 4.8. Interpolation of "other" vegetation percent cover - Cycles 4 and 5
Figure 4.9. Number of species per transect
Figure 4.10. Site clusters based on species frequency and abundance
Figure 4.11. Distribution of plant clusters in study area - Cycles 4 and 5
Figure 4.12. Distribution of 3 plant clusters in study area - Cycles 4 and 5
Figure 4.13. Distribution of 5 plant clusters in study area - Cycles 4 and 5
Figure 4.14. Clusters for LNWR
Figure 4.15. Clusters for WCA2
Xlll
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LIST OF FIGURES (Continued)
Figure 4.16. Clusters for WCA3 North
Figure 4.17. Clusters for WCA3 Southeast
Figure 4.18. Four plant clusters for WCA3-SW
Figure 4.19. Six clusters for WCA3 Southwest
Figure 4.20. Clusters for Shark River Slough
Figure 4.21. Clusters for Taylor Slough
Figure 4.22. Sawgrass distribution in the study area
Figure 4.23. Sawgrass culm density in the study area
Figure 4.24. Frequency of occurrence of sawgrass per transect
Figure 4.25. Distribution of sawgrass by subareas
Figure 4.26. Percent of transects in which sawgrass occurs by subarea
Figure 4.27. Sawgrass morphometrics by subarea
Figure 4.28. Distribution of U. purpurea and U.foliosa in the study area
Figure 4.29. Distribution of U. purpurea and U.foliosa by subarea
Figure 4.30. Percent of transects with U. purpurea and U.foliosa by subarea
Figure 4.31. U. gibba distribution in the study area
Figure 4.32. Distribution of U. gibba by subarea
Figure 4.33. Percent of transects with U. gibba by subarea
Figure 4.34. Distribution of E1. cellulosa and E. elongata in the study area
Figure 4.35. Distribution ofE. cellulosa andE. elongataby subarea
Figure 4.36. Percent of transects with E. cellulosa and E. elongataby subarea
Figure 4.37. Distribution of P. hemitomon in the study area
Figure 4.38. Distribution of P. geminatium in the study area
Figure 4.39. Distribution of P. hemitomon and P. geminatium by subarea
Figure 4.40. Percent of transects with P. hemitomon and P. geminatium by subarea
Figure 4.41. Distribution of S. lancifolia in study area
Figure 4.42. Distribution of S. lancifolia by subarea
Figure 4.43. Percent of transects with S. lancifolia by subarea
Figure 4.44. Distribution of B. caroliniana in the study area
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LIST OF FIGURES (Continued)
Figure 4.45. Distribution of B. caroliniana by subarea
Figure 4.46. Percent of transects with B. caroliniana by subarea
Figure 4.47. Distribution of TV. odorata in study area
Figure 4.48. Distribution of TV. odorata by subarea
Figure 4.48. Percent of transects with TV. odorata by subarea
Figure 4.50. Distribution of R. tracyi by subarea
Figure 4.51. Distribution of R. tracyi by subarea
Figure 4.52. Percent of transects with,/?, tracyi by subarea
Figure 4.53. Distribution of T. domingensis in the study area
Figure 4.54. Distribution of T. domingensis by subarea
Figure 4.55. Percent of transects with T. domingensis by subarea
Figure 4.56. Distribution of P. virginica in the study area
Figure 4.57. Distribution of P. virginica by subarea
Figure 4.58. Percent of transects with/1, virginicaby subarea
Figure 4.59. Distribution ofH. latifolia in the study area
Figure 4.60. Distribution ofH. latifolia by subarea
Figure 4.61. Percent of transects with//, latifolia by subarea
Figure 4.62. Logistic regression of AFDW to plant abundance
Figure 4.63. Logistic regression of soil TP to plant abundance
Figure 4.64. Scatterplot of average lamina length per site vs. lamina width per site for Cladium
jamaicense (A) and Sagittaria lancifolia (B)
Figure 4.65. Sagittaria lancifolia average lamina length per site (A) and average lamina width
per site (B) by subarea. Subarea 0 = Rotenberger-Holyland; 1 = Loxahatchee
National Wildlife Refuge; 2 = WCA2; 3 = WCA3-N north of Alligator Alley; 4 =
southeastern WCA3; 5 = southwestern WCA3; 6 = Shark River Slough,
Everglades National Park; 7 = Taylor Slough and southern Everglades National
Park
xv
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LIST OF FIGURES (Continued)
Figure 4.66. Scatterplot of Sagittaria lancifolia average lamina width per site for the May
1999, dry season sampling (A) and the Sept-Oct, 1999, wet season sampling.
Sites numbered north to south (cf.)
Figure 4.67. Scatterplot of (A) soil ash-free dry weight vs. average leaf length per site and (B)
soil total phosphorus vs. average leaf length per site for Cladium jamaicense ....
Figure 4.68. Scatterplot of (A) soil total phosphorus vs. average total leaf length per site and
(B) soil total phosphorus vs. average lamina width per site for
Sagittaria lancifolia
Figure 4.69. Scatterplot of soil total phosphorus vs. average leaf % phosphorus per site for
Sagittaria lancifolia
Figure 4.70. Scatterplot of (A) average leaf % phosphorus per site vs. average lamina width
per site and (B) for average leaf % phosphorus per site vs. average petiole length
per site for Sagittaria lancifolia
Figure 4.71. Scatterplot of (A) average % leaf nitrogen per site vs. average lamina width per
site and (B) for average % leaf nitrogen per site vs. average petiole length per site
for Sagittaria lancifolia
Figure 4.72. Scatterplot of (A) soil total phosphorus per site vs. average leaf % phosphorus per
site and (B) soil total phosphorus per site vs. average leaf % nitrogen per site for
Cladium jamaicense
Figure 4.73. Cladium jamaicense average leaf length per site (A) and average rhizome
diameter per site (B) by mean annual average ponding depth class. 1 = 0 to 0.1
ft; 2 = 0.1 to 0.5 ft; 3 = 0.5 to 1.0 ft; 4 = 1.0 to 2.0 ft; 5 = 2.0 to 3.0 ft; 6 = more
than 3 ft
Figure 4.74. Sagittaria lancifolia average petiole length per site (A) and average lamina width
per site (B) by mean annual average ponding depth classes. 1 = 0 to 0.1 ft.; 2 =
0.1 to 0.5 ft; 3 =0.5 to 1.0 ft; 4= 1.0 to 2.0 ft; 5 = 2.0 to 3.0 ft; 6 = more than 3
ft
Figure 4.75. Frequency of major plant clusters in areas of the Everglades
xvi
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LIST OF FIGURES (Continued)
Figure 5.1. Distribution of substrate associations of periphyton during sample Cycle 4
Figure 5.2. Distribution of substrate associations of periphyton during sample Cycle 5
Figure 5.3. Cycle 4 cluster dendogram
Figure 5.4. Cycle 5 cluster dendogram
Figure 5.5. Relationships of B. noeexilis to influential environmental parameters
Figure 5.6. Relationships of E. egspOl to influential environmental parameters
Figure 5.7. Relationships of E. evergladianum to influential environmental parameters
Figure 5.8. Relationships ofE.ftsp02 to influential environmental parameters
Figure 5.9. Relationships of E. microcephala to influential environmental parameters
Figure 5.10. Relationships of E. silesiacum to influential environmental parameters
Figure 5.11. Relationships ofF. synegrotesca to influential environmental parameters
Figure 5.12. Relationships ofM smithiiio influential environmental parameters
Figure 5.13. Relationships of TV. cryptotenella to influential environmental parameters
Figure 5.14. Relationships ofN.paleato influential environmental parameters
Figure 5.15. Relationships of TV. serpentiraphe to influential environmental parameters
Figure 6.1. Comparison of monthly precipitation during the study period to normal monthly
precipitation over the period of record at precipitation Station S9, with sampling
periods indicated
Figure 6.2. Cumulative distributions of water depths during sampling
Figure 6.3. Median water depth measured in subareas during May 1996 and 1999 with 95%
confidence interval
Figure 6.4. Median water depth measured in subareas during September 1995, 1996 and 1999
with 95% confidence interval
Figure 6.5. Surface plots of water depth measured during sampling
Figure 6.6. Comparison of historical ranges of water depths at SFWMD stage stations to
water depths measured during sampling
Figure 6.7. Water depths measured during phase 2 associated with SFWMM hydroperiod
ponding classes
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LIST OF FIGURES (Continued)
Figure 6.8. May average ponding depth classes predicted by the SFWMM for the period of
record from 1965 through 1995
Figure 6.9. October average ponding depth classes predicted by the SFWMM for the period
of record from 1965 through 1995
Figure 6.10. Surface water volume to surface area of inundation from the Everglades
ecosystem
Figure 6.11. Everglades ecosystem area of surface water inundation
Figure 6.12 Median pH, conductivity, and chloride measurements (with 95% confidence
interval) in each of the subareas during wet and dry seasons of phase 1 and
phase2
Figure 6.13. Surface plots of pH measured during wet and dry seasons of phase 1 and
phase 2
Figure 6.14. Surface plots of conductivity measured during wet and dry seasons of phase 1 and
phase 2
Figure 6.15. Surface plots of chloride measured during phase 2 wet and dry seasons
Figure 6.16. Median sulfate, sulfide and TOC measured in surface water (with 95% confidence
intervals) in the subareas during wet and dry seasons of phase 1 and phase 2 ....
Figure 6.17. Surface plots of sulfate measured during wet and dry seasons of phases 1 and 2 . .
Figure 6.18. Surface plots of sulfide measured in surface water during wet and dry seasons in
phase 2
Figure 6.19. Surface plots of TOC measured in surface water during wet and dry seasons in
phases 1 and 2
Figure 6.20. Median TP and total nitrogen measured in surface water in the subareas during
wet and dry seasons of phases 1 and 2
Figure 6.21. Surface plots of TP measured in surface water during wet and dry seasons of
phases 1 and 2
Figure 6.22. Surface plots of total nitrogen measured in surface water during wet and dry
seasons in phases 1 and 2
xvin
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LIST OF FIGURES (Continued)
Figure 6.23. Median total mercury and methyl mercury in surface water, and sulfide in pore
water (with 95% confidence intervals) measured in the subareas during wet and
dry seasons of phases 1 and 2
Figure 6.24. Surface plots of total mercury measured in surface water during wet and dry
seasons of phases 1 and 2
Figure 6.25. Relationship between mean total mercury in surface water and mean water depth
for each of the sampling cycles (phase 1 and 2)
Figure 6.26. Surface plots of methylmercury measured in surface water during wet and dry
seasons of phases 1 and 2
Figure 6.27. Relationship between mean methylmercury in surface water and mean water
depth for each of the sampling cycles (phase 1 and 2)
Figure 6.28. Surface plots of sulfide measured in pore water during wet and dry seasons in
phase 2
Figure 6.29. Median AFDW, mineral content, and total phosphorus in floe (with 95%
confidence intervals) measured in subareas during wet and dry seasons in phases
1 and 2
Figure 6.30. Surface plots of AFDW of floe measured during wet and dry seasons in phase 2 .
Figure 6.31. Spatial plots of floe mineal content measured during wet and dry seasons in phase
2
Figure 6.32. Spatial plots of total phosphorus in floe measured during wet and dry seasons in
phase 2
Figure 6.33. Median total mercury and methyl mercury in floe (with 95% confidence intervals)
measured in subareas during wet and dry seasons in phases 1 and 2
Figure 6.34. Spatial plots of total mercury in floe measured during wet and dry seasons in
phase 2
Figure 6.35. Spatial plots of methyl mercury in floe measured during wet and dry seasons in
phase 2
xix
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LIST OF FIGURES (Continued)
Figure 6.36. Median soil depth, soil subsidence/accretion, soil AFDW and soil mineral content
(with 95% confidence intervals) measured in subareas during wet and dry seasons
in phases 1 and 2
Figure 6.37. Spatial plots of soil thicknesses measured during phases 1 and 2
Figure 6.38. Spatial plots of soil subsidence and accretion from 1946 to 1995/1996
Figure 6.39. Spatial plots of soil AFDW measured during wet and dry seasons in phases
1 and 2
Figure 6.40. Spatial plots of soil mineral content measured during wet and dry seasons in
phase 2
Figure 6.41. Median redox, total phosphorus, total mercury and methyl mercury in soil (with
95% confidence intervals) measured in subareas during wet and dry seasons in
phases 1 and 2
Figure 6.42. Spatial plots of soil Eh measured during wet and dry seasons in phases 1 and 2 . .
Figure 6.43. Spatial plots of total phosphorus measured during phases 1 and 2 indicating sites
where cattails occurred
Figure 6.44. Median total sulfate in soil (with 95% confidence intervals) measured in subareas
during wet and dry seasons in phases 1 and 2
Figure 6.45. Spatial plots of total sulfate in soil measured during wet and dry seasons in phases
1 and 2
Figure 6.46. Spatial plots of total mercury in soil measured during wet and dry seasons in
phases 1 and 2
Figure 6.47. Spatial plots of methyl mercury in soil measured during wet and dry seasons in
phases 1 and 2
Figure 6.48. Median total mercury and methyl mercury in periphyton, and total mercury in
cattails and sawgrass (with 95% confidence intervals) measured in subareas
during wet and dry seasons in phases 1 and 2
Figure 6.49. Spatial plots of average total mercury in periphyton measured during wet and dry
seasons in phases 1 and 2
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LIST OF FIGURES (Continued)
Figure 6.50. Spatial plots of average methyl mercury in periphyton measured during wet and
dry seasons in phases 1 and 2
Figure 6.51. Spatial plots of total mercury in sawgrass measured May 1999 showing locations
where cattails were collected with associated total mercury concentrations
Figure 6.52. Median total mercury in Gambusia and BAF measured in subareas during wet
and dry seasons in phases 1 and 2
Figure 6.53. Spatial plots of total mercury in Gambusia measured during wet and dry seasons
in phases 1 and 2
Figure 6.54. Spatial plots of BAF measured during wet and dry seasons in phases 1 and 2 ....
Figure 6.55. Maps of the synoptic sampling site locations where mosquitofish were collected
for food habits analysis
Figure 6.56. Maps of trophic score based on mosquitofish gut contents for each cycle
sampled
Figure 6.57. Least squares estimated means and 95% confidence intervals for trophic position
of mosquitofish by study region. Abbreviations for the regions are: LOX
(Loxahatchee NWR), WCA2, WCA3-N, WCA3-SE, WCA3-SW (Water
Conservation Areas), Shark Slough, Taylor Slough, and BICY (Big Cypress
National Preserve)
Figure 6.58. Maps of the frequency of detritus/periphyton in mosquitofish gut contents by
cycle sampled
Figure 6.59. Relative abundance of each prey type plotted against conductivity at each site. A
quadratic least-squares best-fit is plotted on each graph, all lines except midge
larvae have slopes different than zero
Figure 6.60. Detritus/plant matter in the diet of mosquitofish relative to conductivity at the
collection site. The data points plotted indicate the proportion of detritus/plant
matter in mosquitofish diets estimated by mass. The L-S (least-squares) best fit
indicates the best estimate of proportion of this item in the diet. The logistic
regression is probability of detritus/plant present (without regard to relative mass)
in diet. Logistic regression indicates probability to increase from 0.6 to near 1.0
as
xxi
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LIST OF FIGURES (Continued)
conductivity increases from low to high. The logistic regression fits a binomial
distribution using a maximum likelihood algorithm
Figure 6.61. The relationship of the concentrations of total mercury in mosquitofish to methyl
mercury in periphyton and conductivity at each site with least-squares bes-fit
lines
Figure 6.62. Mercury bioaccumulation estimated for mosquitofish collected south of 1-75.
North refers to fish collected in WCA3 between 1-75 and Tamiami Trail while
south refers to fishes collected south of Tamiami Trail in ENP. Mercury
bioaccumulation = (fish total Hg) - (periphyton methyl mercury): N = 140; R2 =
0.055
Figure 6.63. Total mercury mass estimates by marsh subarea and cycle in water (top) and soil
(bottom)
Figure 6.64. Methyl mercury mass estimates by marsh subarea and cycle in water (top) and
soil (bottom)
Figure 7.1. Conceptual models of mercury interactions in three areas of South Florida formed
by Alligator Alley (1-75) and Tamiami Trail (US Hwy 41)
Figure 7.2. Phase I, II path analyses for the area north of Alligator Alley
Figure 7.3. Phase I, II path analyses for the area between Alligator Alley and Tamiami
Trail
Figure 7.4. Phase I, II path analyses for the area south of Tamiami Trail
Figure 7.5. Alternative path analysis for pathway for fish total mercury in Phase I area
between Alligator Alley and Tamiami Trail
Figure 7.6. Phase I, II path analyses for WCA3-SE and WCA3-SW
xxn
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APPENDIX A:
APPENDIX B:
Attachment 1:
Attachment 2:
Attachment 3:
Attachment 4:
Attachment 5:
Attachment 6:
LIST OF APPENDICES
Aerial Photo Vegetation Assessment in the Everglades Ecosystem
Quality Assurance Project Plan
Phase II REMAP Statement of Work
Project Data Quality Objectives (DQOs)
SOP XXXII: Standard Operating Procedures for Sampling Water,
Sediment, and Biota in Expansive Wetlands
Analytical Support Branch Operations and Quality Control
Manual-SESD, Region 4
Battelle Quality Assurance Management Plan
SERF Comprehensive QA Plan (Analytical Laboratories)
Sections 1 -15(11/25/98)
— SOP for Laboratory and Field Nutrient Analysis (SERC)
- SOP for Total Phosphorus Analysis 1997 (SERC)
Appendix A - Method Validation for Micromolar Concentrations
of Total Nitrogen in Natural Waters
Appendix B - Results of QC Check Samples for Total Phosphorus
in Soil/Tissue
Appendix C - An Equivalency Study on the Preservation of
Nutrient Samples by Freezing or Refrigeration
Appendix D - An Equivalency Study on the Preservation of Total
Organic Carbon Samples With and Without Acid
SERF Comprehensive QA Plan (Mercury Laboratory)
-Sections 1 - 15(4/20/99)
Appendix A - Method Validation for Parts per Trillion (ppt)
Concentrations of Inorganic and Total Mercury in Water, Solid
and Tissue Samples (4/18/96 - 14 pg)
Appendix B - Jones et al.. 1995. Method Development and
Sample Processing of Water, Soil and Tissue for the Analysis of
xxin
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LIST OF APPENDICES (Continued)
Total and Organic Mercury by Cold Vapor Atomic Fluorescence
Spectrometry. Water, Air and Soil Pollution: 1285-1294, 1995
Appendix C - Standard Operating Procedures for Total and
Inorganic Mercury Analysis in Water, Sediment and Tissue
(11/19/97, 10 pg)
Appendix D - Examples of Instrument Printouts for Total and
Organic Mercury Determinations
Appendix E - SERF Standard Operating Procedures (11/21/97, 16
PP)
- Alii et al., 1994. Analysis of Organomercury Compounds in
Sediments by Capillary GC with Atomic Fluorescence Detection.
J. High Resolution Chromatography: Vol. 17: 745-748.
- Lee, Y.H. and J. Mowrer. Determination of Methylmercury in
Natural Waters at the Sub-nanograms per Litre Level by Capillary
Gas Chromatography after Adsorbent Preconcentration. Analytica
Chimica Acta, 221 (1989) 259-268.
APPENDIX C:
APPENDIX D:
May 1999 Data Review
September 1999 Data Review
Data Files
P12join7FINAL.xls (multimedia chemistry data)
EPAM4M5.xls (diatom data)
NEWPAFIELD~JRl.xls (macrophyte presence/absence data)
ugacy45doml.xls (aerial photo interp. of dominant vegetation (areas))
CYCLE4sec.xls (aerial photo secondary vegetation)
CYCLE5sec.xls (aerial photo secondary vegetation)
CYCLE4secP.xls (aerial photo percent secondary vegetation)
CYCLE5secP.xls (aerial photo percent secondary vegetation)
xxiv
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LIST OF APPENDICES (Continued)
Cycle4_orig.stx (dominant/secondaryveg/thirdveg)
Cycle5_orig.stx (dominant/secondaryveg/thirdveg)
JRcljsagmorphclean (macrophyte morphological data)
250 — 1 x 1 km map files
Guts individual fish.xls
xxv
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1.0 INTRODUCTION
1.1 Purpose
The US Environmental Protection Agency (EPA) Region 4 South Florida Ecosystem
Assessment Project is an innovative, long-term research, monitoring and assessment project.
Phase I of the Project was conducted from 1992 through 1998 and was discussed in two previous
reports (Stober et al. 1996, 1998). Phase II sampling was conducted during 1999. This report
describes the Phase II Project results.
The ultimate Project goal is to provide decision-makers with sound, scientific
information for environmental decisions related to the South Florida Everglade ecosystem
restoration.
Project purposes are to:
1. Contribute to the South Florida Interagency Everglades Restoration Program by
monitoring the status and trends in the condition of the South Florida Everglades
ecosystem.
2. Assess the effects and potential risks of mercury contamination on the South
Florida ecosystem, specifically the processes and pathways from inorganic
mercury to prey fish mercury contamination.
3. Assess the effects and potential risks of other environmental stressors such as
hydropattern modification, habitat alteration, and total phosphorus loading, as
well as their interaction with mercury contamination.
4. Improve monitoring design and environmental reporting for the South Florida
ecosystem, and
5. Provide interim information on a regular basis that contributes to environmental
decisions on Everglades restoration issues.
1.2 EPA Region 4 South Florida Ecosystem Assessment Project
The EPA Region 4 South Florida Ecosystem Assessment Project - Phase II continued the
Phase I monitoring that was initiated in 1994, but modified the monitoring design, indicators,
and media that were sampled. These modifications are described in subsequent chapters of this
report. The Phase II Project maintained the focus on relative risk and was guided by the same
seven policy-relevant assessment questions raised in Phase I:
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1. Magnitude - What is the magnitude of the problem(s) in the South Florida
ecosystem?
2. Extent - What is the extent of the problem(s)?
3. Trend - Is the problem(s) getting better, worse, or staying the same?
4. Cause - What factors are associated with or contribute to the problem(s)?
5. Source - What are the source(s) and what is the contribution and importance of
each source to the problem(s)?
6. Risk - What are the risks to different ecological systems and species from the
stressors or factors causing the problem(s)?
7. Solutions - What management alternatives are available to ameliorate or
eliminate the problem(s)?
These policy-relevant questions are applicable to each major issue identified by the
Science Subgroup as impacting the South Florida ecosystem (i.e., hydropattern modification,
mercury contamination, eutrophication, habitat alteration, and exotic species invasions).
Conceptual models and testable hypotheses were developed around these key issues and policy-
relevant questions.
Unlike other studies in support of the South Florida Everglades restoration effort, the
South Florida Ecosystem Assessment Project is unique in a number of ways:
1. Scale - The South Florida Ecosystem Assessment Project is a multimedia study
being conducted on over 5,800 km2 (2,250 mi2) in South Florida extending from
the Everglades Agricultural Area (EAA) in the north to the Florida Bay in the
south (Figure 1.1). Few ecological studies have been conducted at this scale. This
large-scale, multimedia approach provides the ability to assess patterns in
individual resources throughout the whole Everglades ecosystem and the
interactions among these resources and patterns.
2. Study Design - This Project uses a unique probability-based, statistical survey
design to select sample locations throughout the Everglades marsh and canals.
This sampling design permits the development of unbiased population estimates
of resource condition with known confidence. Furthermore, this design permits
spatial analyses and associations that provide insight into fundamental
relationships among observed ecological effects and multiple stressors.
1-2
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3. Risk Based Approach - The South Florida Ecosystem Assessment Project
evaluates multiple impacts and stressors on the Everglades ecosystem
simultaneously using an ecological risk based approach. By using a risk based
approach, issues that are critical to the restoration efforts and the interaction
among these issues and stressors can be identified for decision makers.
4. Complementary Interagency Efforts - This Project was designed to address
critical policy-relevant questions complementary to the approaches being used by
other agencies and studies. This Project contributes directly to the Interagency
Task Force on South Florida Ecosystem Restoration and provides the benchmark
against which restoration practices can be evaluated. This Project has been
conducted by U S Environmental Protection Agency, Region 4, Science and
Ecosystem Support Division in partnership with Florida International University
Southeast Environmental Research Center, FTN Associates Ltd., and Battelle
Marine Sciences Laboratory. Additional cooperating agencies include the US
National Park Service Everglades National Park, US Fish & Wildlife Service, US
Geological Survey, The Florida Department of Environmental Protection, the
South Florida Water Management District and the Florida Fish & Wildlife
Conservation Commission.
1.3 Mercury Contamination
The Project was originally designed to specifically address the mercury contamination
problem that exists in South Florida while also providing information useful for restoration. The
Phase I report, in conjunction with the largemouth bass monitoring by Florida Fish and Wildlife
Conservation Commission and the wading bird studies being conducted by the University of
Florida, clearly documented the extent of the mercury contamination problem in South Florida.
One of the major conclusions of Phase I was that there were no apparent point sources of
mercury to South Florida (Stober et al. 1998). Atmospheric deposition was contributing about
35-40 times the mercury coming from the EAA discharges (Stober et al., 1998). In addition,
there was no "smoking gun", clearly indicating that local emission sources were responsible for
the atmospheric contributions.
Phase I sampling found that only 4 surface water samples out of over 500 collected had
total mercury concentrations that exceeded the current mercury water quality standard (i.e.,
12 ng/L); yet over 2 million acres are under fish consumption advisories because of mercury.
Revised mercury standards are needed, but these standards need to consider both the mercury
form (methylmercury rather than total mercury) and bioaccumulation/biomagnification of
mercury through the food chain.
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The Phase I Project also indicated the greatest risk to the South Florida ecosystem is to
assume that the environmental issues (e.g., hydropattern modification, eutrophication, mercury
contamination) are independent and can be managed independently. Mercury contamination is
influenced by hydropattern, nutrient status, habitat and the specific biological organisms. The
interactions of these additional factors must be considered when proposing and evaluating
various management practices for restoring the Everglades. Additional insight into the
interactions among these environmental problems is provided in this Phase II report.
1.4 Everglades Ecosystem Restoration
Many of the problems with declining Everglades ecosystem health revolve around four
interrelated factors: water quantity, quality, timing, and distribution. Consequently, the major
goal of restoration is to deliver the right amount of water that is clean enough to the right places
and at the right time. Since water largely defined the natural system, it is expected that the
natural system will respond to water management improvements. The Water Resources
Development Acts of 1992 and 1996 directed the U. S. Army Corps of Engineers to review the
Central and Southern Florida Project and develop a comprehensive plan to restore and preserve
south Florida's natural ecosystem, while providing for other water-related needs of the region
including urban and agricultural water supply and flood protection. The result is the
Comprehensive Everglades Restoration Plan (CERP, or the Plan). The development of the Plan
was led by the Army Corps of Engineers and the South Florida Water Management District and
was accomplished by a team of more than 100 ecologists, hydrologists, engineers and other
professionals from over 30 federal, state, tribal, and local agencies. The Plan includes: water
storage areas; man-made wetlands to treat urban or agricultural runoff; wastewater reuse;
extensive aquifer storage and recovery; water management operational changes; and structural
changes to improve how and when water is delivered to the Everglades, including removal of
some canals or levees that prevent natural overland sheet flow. The entire Plan is projected to
take over 30 years and cost about $8 billion to implement, with the cost split equally by Florida
and the federal government. If nothing is done, the health of the Everglades will continue to
decline, water quality will degrade further, some plant and animal populations will become
stressed further, water shortages for urban and agricultural users will increase, and the ability to
1-4
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protect people and their property from flooding will be compromised. (USAE & SFWMD, 1998,
1999).
A series of ecological success criteria have been defined that will gauge the success of
ecosystem restoration efforts. Some example ecosystem restoration success indicators: (Science
subgroup 1997)
Problem Success Indicators
Water Management Reinstate system-wide natural hydropatterns and sheet flow
Habitat Alteration Increased spatial extent of habitat and wildlife corridors
Eutrophication Reduced phosphorus loading
Mercury Contamination Reduced top carnivore mercury body burden
Endangered Species Recover of threatened endangered species
Soil Loss Restore natural soil formation processes and rates
1.5 Long-term Monitoring and Adaptive Assessment
The attention and funding devoted toward Everglades ecosystem restoration is
unprecedented. It is imperative that ecosystem health is assessed in a cost-effective, quantitative
manner such that baseline, pre-restoration conditions are documented. Such an assessment
identifies resource restoration needs. Continued assessment allows one to determine the
effectiveness of restoration efforts. A major defining feature of the Everglades is its large spatial
area; hence, to monitor restoration it is essential to determine the area of the current Everglades
that is subject to various human impacts. This study employs a scientifically rigorous way of
accomplishing this, using probability-based sampling. This project uses a statistical, probability-
based sampling strategy to select sites for sampling. Samples were collected from the freshwater
wetland portion of the Everglades and Big Cypress. The study area extended from Lake
Okeechobee southward to the mangrove fringe on Florida Bay and from the ridge along the
urban, eastern coast westward into Big Cypress National Preserve. This study permits a
consistent, synoptic look at indicators of the ecological condition in the entire freshwater canal
and marsh system in South Florida from Lake Okeechobee to the Florida mangrove system. This
large-scale perspective is critical to understanding the impacts of different factors (such as
phosphorus and mercury distributions throughout the canals and marsh, habitat alteration, or
1-5
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hydropattern modification) on the entire system rather than at individual locations or in small
areas. Looking only at isolated sites in any given area and extrapolating to South Florida can
give a distorted perspective. This study is unique to South Florida: its extensive spatial coverage
and sampling intensity are unprecedented; its probability-based sampling approach permits
quantitative statements about ecosystem health.
A key advantage to this study's probability-based statistical sampling approach is that it
allows one to estimate, with known confidence and without bias, the current status and extent of
indicators for the condition of ecological resources (Thornton et al., 1994; Stevens, 1997).
Indicators of pollutant exposure and habitat condition also can be used to identify associations
between human-induced stresses and ecological condition. This design has been reviewed by the
National Academy of Sciences, and the USEPA has applied it to lakes, rivers, streams, wetlands,
estuaries, forests, arid ecosystems and agro-ecosystems throughout the United States. (Olsen et
al. 1999; EPA 1995).
Parameters measured at each site can be used to answer questions on multiple
environmental problems threatening the Everglades, including water management, soil loss,
eutrophication, habitat alteration and mercury contamination.
• Water management (e.g., water depth at all sites)
• Water quality and eutrophication (e.g., phosphorus concentrations in water and
soil, cattail distribution)
Habitat alteration (e.g., wet prairie, sawgrass marsh plant community distribution)
• Mercury contamination (e.g., mercury in water, soil, algae, and preyfish)
Specific questions related to Everglades restoration goals that this study answers include:
How much of the marsh or canal system has a total phosphorus concentration
greater than 50 parts per billion, the Phase I phosphorus control goal, or 10 parts
per billion, the approximate natural marsh background concentration?
• How much of the marsh is dominated by sawgrass? Wet prairie? Cattail?
• How much of the marsh still has the natural oligotrophic periphyton mat?
• How much of the marsh area is dry, and where?
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• How much of the marsh has prey fish with mercury levels that present increased
risk to top predators such as wading birds?
• What water quality conditions are associated with marsh zones of high mercury
bioaccumulation ?
Data from this study have been used by a variety of scientists and agencies for many
purposes:
Input to models that predict the Everglades' response to water management
changes.
• Input to models that predict periphyton or vegetation changes in response to
phosphorus enrichment.
Developing empirical models in order to better understand interrelationships
among mercury, phosphorus, sulfur and carbon.
Developing water quality standards to protect human health and fish and wildlife.
Understanding the relative risks of phosphorus and mercury.
Monitoring is important for determining ecosystem condition, identifying threats, and
evaluating environmental restoration efforts. As portions of the Comprehensive Everglades
Restoration Plan are implemented, a system-wide monitoring program is needed. Monitoring
objectives include:
• Documenting status and trends;
• Determining baseline variability;
Detecting responses to management actions; and
Improving the understanding of cause and effect relationships.
This South Florida Ecosystem Assessment Project provides such information system-
wide for the freshwater Everglades marsh as of 1995-1996 and 1999. All reports and data for the
study are available on the internet at .
1.6 Report Organization
This report builds on the Phase I report (Stober et al., 1998) and provides additional
information on the status of the South Florida ecosystem. The report is organized into nine
chapters and 12 appendices. Chapter 2 discusses the Phase II design modifications made to the
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Phase I statistical survey frame. Revised and new Phase II materials and methods are described
in Chapter 3. Chapters 4 and 5 present information on macrophyte and periphyton distributions,
respectively. Plants integrate physicochemical factors and provide insight into large-scale
responses to these factors. One of the major attributes of the large-scale survey design and
sampling is that it can describe landscape patterns for the entire South Florida Everglades
ecosystem, which are patterns that were not apparent before this Project was conducted. These
landscape patterns are described in Chapter 6. Based on these landscape patterns and
complementary process studies being conducted in other programs by other agencies, a series of
conceptual models were developed to describe the interactions among constituents. These
conceptual models formed the foundation for a series of structural equations used to perform
path analysis to assess mercury risks. These conceptual models and path analyses are described
in Chapter 7. Chapter 8 provides the foundation for a probabilistic ecological risk assessment of
mercury that was conducted on wading birds in the Everglades ecosystem by the South Florida
Water Management District. These analyses couple the physical-chemical factors with mercury
bioaccumulation through the food chain to the mosquitofish. Mosquitofish is a prey species for
sunfish and largemouth bass, which are major components of wading bird diets. The
probabilistic ecological risk assessment model starts with sunfish and largemouth bass and
models the upper portion of the food chain to wading birds. Linking both these studies provides
a management tool that can be used to assess the effects of changing water depth, total
phosphorus, total mercury and other constituent concentrations on mercury methylation and
bioaccumulation through the food chain to largemouth bass and ultimately on wading birds.
Management implications from this Phase II Project are presented in Chapter 9. Future directions
for this Project are discussed in Chapter 10. References cited are contained in Chapter 11. There
are a number of appendices that contain additional information on the Quality Assurance Project
Plan (QAPP), methods, materials, and other Project features.
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Figure 1.1. USGS satellite image of South Florida: light areas on the east indicate urban
areas; dark areas in the center are the remnant Everglades; the red area at the top is
the Everglades Agricultural Area and the western part of the image is Big Cypress
National Preserve.
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2.0 STUDY DESIGN
The EPA Region 4 South Florida Ecosystem Assessment Project Phase II design was
modified from the Phase I design to improve the efficiency of sampling and focus on the portion
of the system at greatest risk from mercury contamination. These modifications are presented in
this chapter.
2.1 Phase I Design
The Phase I design, described in the South Florida Ecosystem Assessment Phase I
Report, selected sites in both the canals and the marsh, including Big Cypress National Preserve
for sampling (Stober et al. 1998). The Phase I design was a probability-based synoptic survey
that systematically sampled randomly selected sites during both the dry and wet seasons. The
formal name for the Phase I design is a random tessellation stratified (RTS) design (Bellhouse
1977, Overton and Stehman 1993, Stevens 1997). Because it is based on probability sampling,
the RTS design samples the marsh resource in direct proportion to the occurrence of its attributes
(e.g., soil type, phosphorus concentration, water mercury concentrations, plant species, etc.).
This means that population estimates can be made of the proportion of the area or total acreage,
with known confidence, for any particular system attribute. For example, the proportion of the
marsh area that has soil total phosphorus concentrations exceeding some threshold value, or the
total area of the marsh that has fish mercury concentrations exceeding the USFWS proposed
predator prey mercury criteria can be estimated with known confidence. In addition, the
systematic approach to sampling (i.e., a grid) captures the spatial or landscape context of the
sites. The design is particularly suited for spatially displaying data and detecting large scale
patterns in the ecosystem if these patterns are present, because there is an almost uniform
distribution of sites distributed on the landscape.
During Phase I, approximately 50 canal sites and 125 marsh sites were sampled during
each season. Canals were sampled from 1993 to 1995 while the marsh was sampled from 1995 to
1996. A total of about 200 canal sites and 500 marsh sites were sampled during the Phase I
project.
The Phase I assessment determined that fish in the canals and Big Cypress National
Preserve had lower mercury concentrations than fish collected from the South Florida marsh
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sites. The Phase II design, therefore, was modified to increase its effectiveness in sampling areas
with elevated fish mercury contamination as well as other areas important to the Everglades
Restoration programs.
2.2 Phase II Design Modifications
The Phase II sampling design focused on the area from Lake Okeechobee in the North to
Florida Bay in the South and from the edge of the urban area on the East to the edge of Big
Cypress National Preserve on the West (Figure 1.1). This included Loxahatchee National
Wildlife Refuge, Water Conservation Areas 2 and 3 and Everglades National Park (Figure 1.1).
A probability-based synoptic survey also was used to systematically select 126 marsh sites for
sampling during both the dry (May - Cycle 4) and wet (September - Cycle 5) seasons in 1999
(Figure 2.1). The canals and the Big Cypress National Preserve were not sampled during
Phase II. The total number of marsh sampling sites for both Phases I and II are shown in
Figure 2.2
An analysis of variance (ANOVA) was conducted for selected, critical variables to
compare the proportion of the total variance accounted by within versus among site variance
(Table 2.1). A goal established in the EPA Office of Research and Development Environmental
Monitoring and Assessment Program (EMAP) was to have within site variance be about 10% of
the among site variance so that large scale constituent gradients and patterns could be adequately
detected. During Phase I, for example, five mosquitofish were collected and individually
analyzed from each site. The ANOVA indicated that the within site variance was about 12%. It
was estimated that collecting two additional fish at each site during Phase II should reduce the
within site variance to about 9% of the among site variance. Because mosquitofish mercury
concentration was a critical variable in the study, two additional fish were collected at each
Phase II site so that seven individual fish were analyzed at each Phase II site. This resulted in the
within site variance being 9% of the among site variance in Phase II. The within site compared to
among site variance in other constituents are also shown in Table 2.1. During Phase II, within
versus among site variance was greater than 10% of total phosphorus and total nitrogen in water,
and total phosphorus and methylmercury in soil. Because Phase I sampling occurred over two
years and Phase II sampling occurred over only one year, the Phase II sample size is
approximately one half that of the Phase I sample size, which does influence the variance
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estimates.
The Phase II sampling design also incorporated vegetation (i.e., macrophyte) transect
sampling in conjunction with the probability sites. The purpose of the vegetation transect
sampling was to assess the relationship between plant responses and large scale gradients in
nutrient concentrations and hydrologic variables. Estimating plant biomass was not a Project
objective. The plant transect sampling is described in Chapter 3, Methods and Materials.
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Table 2.1. Comparison of within versus among site variance.
Constituent
1996
Within*
Among*
% W/A+
1999
Within*
Among*
% W/A+
Surface Water
Total Phosphorus
Total Nitrogen
TOC
Sulfate
Total Mercury
Methyl Mercury
26
0.02
1.45
0.28
0.53
0.02
916
1.09
173
569
3.83
0.34
3
2
1
<0.1
14
6
23
0.67
5.72
0.20
0.11
.03
102
4.99
205
196
1.74
0.57
22
13
3
0.1
6
5
Soil
Total Mercury
Total Phosphorus
Methyl Mercury
AFDW
498
3,211
0.14
22
9,518
51,651
1.24
2,143
5
6
11
1
280
34,022
6.75
49
8,132
64,074
27.7
848
3
53
24
6
Mosquito Fish
Total Mercury
9,673
80,126
12
4,441
47,000
9
* Mean square error (MSB)
+ W/A = within MSB/among MSB
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26.6-<
26,4
262-
"••
jj
0.1
26,0-
25,6^
25,4-
1999
STATION LOCATIONS
-BO.S -BO 6 -80.4
LONGITUDE, decimal degrees
Figure 2.1. Site locations for May (Cycle 4) and September (Cycle 5) 1999 sampling.
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26.6-
26.4-
26.2-
I
(U
•o
. 26.0H
o
(U
•o
Q
H
HH
25.8-
25.6-
25.4-
STATION LOCATIONS
+ CYCLE 0
CYCLE 1
o CYCLE 2
• CYCLES
v CYCLE 4
• CYCLES
-81.0 -80.8 -80.6 -80.4
LONGITUDE, decimal degrees
Figure 2.2. 750 sampling sites are located in over 2 million marsh acres.
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3.0 MATERIALS AND METHODS
3.1 Field Procedures and Methods
3.1.1 Logistical Rationale and Needs
The large spatial scale of this study required field sampling with helicopters (Bell Jet
Ranger four-passenger with floats) to make the sampling as efficient and rapid as possible. All
stations were located with handheld global positioning system (GPS) equipment (Trimble®
Pathfinder Pro) corrected to within ±1 m. A synoptic sample over the entire marsh ecosystem
proceeding from south to north was completed in an 8-day period (125 stations). Phase II
biogeochemical sampling was conducted near the end of the spring dry season, from May 4 to
13, 1999 (Cycle 4) and during the summer wet season from September 22 to 30, 1999 (Cycle 5).
The sampling time at each site was approximately one hour with helicopter shut down during
sampling. The marsh grid was sampled with two helicopters and a team of 6 samplers (each team
worked two days on and one day off). A two-person sampling team was used in each aircraft and
all gear and sample containers were designed to fit in the fourth seat and the aft storage
compartment. For safety, each flight was monitored with ENP Dispatch.
3.1.2 Sampling Apparatus and Procedures
The variables and media sampled during Phase II are listed in Tables 3.1 and 3.2.
Table 3.1 is a list of critical variables while Table 3.2 is a list of non-critical variables. The basis
for the selection of critical vs. noncritical measurements was that measurements thought to have
regulatory implications or usage for setting regulatory criteria/standards were considered
"critical" measurements. All other measurements collected during the project were considered
noncritical and useable for research purposes.
3.1.2.1 Surface Water
A Hydrolab Scout 2 Water Quality Data System™ (Hydrolab) was used to measure water
temperature (°C), DO (mg/L), specific conductivity (mS/cm), pH (su), and Eh (mV). The data
sonde was suspended in the water column at mid-depth and the DO probe was allowed to
equilibrate prior to recording the readings on the field data sheet. The Hydrolab calibration
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procedure defined in the EPA Science and Ecosystem Support Division (SESD) Standard
Operating Procedure (SOP) was executed in the laboratory prior to entering and leaving the field
each day.
The sampling procedure was initiated at each station by placing a 2-L polypropylene
bottle in the vacuum chamber and filling the bottle about 25% full. This water was used to rinse
the bottle and discarded. The bottle was then filled to 75% capacity and aliquots were poured
into appropriate containers for TP, TOC, TN, turbidity, alkaline phosphatase (AP), anions,
(SO42", Cl", Br", F", NO2", NO3"), ortho-P, and TKN. The critical and noncritical variables are
listed in Tables 3.1 and 3.2, respectively. The number of 125-ml polypropylene containers filled
varied with the number of duplicate stations, laboratory splits and nutrient filtration/preservation
methods used for QA/QC. At least 10 % of all samples collected were for QA/QC, including
field duplicates, blanks and splits for each media (Tables 3.1 and 3.2).
The development and application of clean mercury sampling methods has been of
primary importance in both the Phase I and Phase II projects. A hand-operated vacuum water
sampling chamber was developed and used to consistently collect a screened (105 //m
replaceable Nitex screen) ultra trace level water sample. Specifications and pictures of this
sampling equipment were presented in Stober et al. (1998). The initial Phase I study found that it
was important to prevent the intake of large particulates into the samples. However, the samples
were not filtered to permit quantification of total constituent concentration, which can be
ecologically significant.
A trace level mercury sample was taken immediately following the collection of water
for conventional water quality variables by placing a 2-L Teflon® bottle into the chamber and
pumping it full with no headspace. The bottle was filled in about 5 minutes with about 380 mm
(15 inches) of vacuum. The bottle was labeled, its number recorded, inserted into a Fisher®
ziploc plastic bag and placed in a cooler inside a black plastic bag. The sampling sequence
flushed the device twice before each clean low level Hg sample was collected at each station.
During this procedure, the operator was gloved with PVC gloves covered with shoulder length
polyethylene gloves and clothed in chest waders and/or a flight suit. Water samples were
collected near the helicopter at about one foot below the surface when sampling in deep water
and at mid-depth when sampling shallow water less than one foot. Water field blanks of Hg free
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deionized water were taken into the field with each crew each day. Additional surface water
sampling details can be found in Appendix A, Attachment 3.
Sulfide in surface water at each site was sampled with two 60 ml plastic syringes with
leur-loc tips connected to a three-way valve. One syringe was previously prepared with zinc
acetate/6N sodium hydroxide preservative solution and the other was used to evacuate the air
from the system prior to drawing the sample into the syringe with the preservative while holding
the sampler underwater.
Sulfide in porewater was sampled with the same double syringe triple valve system with
the addition of a hollow stainless steel insertion tool developed to penetrate the soil and facilitate
the insertion of a filter (nominal porosity = 60 //m) (Porex 6810, Interstate Specialty Products)
attached to 3.5 mm OD Tygon tube approximately 65 cm in length with a leur-loc attachment to
the three-way valve. The insertion tool fitted with a stainless steel push rod was used to insert the
filter to a maximum depth of 10 cm into the soft soil. The system was voided by one syringe
followed by drawing the sample into the other syringe containing the preservative.
Filtered nutrient samples (NH4+, NO2", NO3", PO42") were collected for both surface and
porewater by filtering 60 ml of surface water and 30 ml of porewater through a GF/F 0.8 //m
filter attached to a syringe. Additional details regarding design, development, and operation can
be found in Appendix A, Attachment 3.
3.1.2.2 Soil Sampling
A stainless steel extension rod graduated in tenths of feet was used to measure the surface
water depth and soil depth to bedrock at each station. An in situ Eh probe (Stober et al. 1998)
was deployed in the soil at each station near the helicopter and five measurements recorded at
soil depths of 2.5 to 20 cm were recorded following a 15-minute equilibration period.
Soil sampling was conducted with a 3-inch diameter clear polycarbonate coring tube (see
Stober et al. 1998 for design specifications) to sample the top 10 cm. Three cores were
composited per station and placed in a sealed 1-gallon plastic container for transport to the
laboratory. During soil sample collection, the slurry (floe) of particulate matter and water
captured on top of the soil core was poured off into an Imhoff cone to concentrate the parti culate
matter which was then placed in a separate 500-ml polyethylene container. In addition, whenever
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a layer of periphyton mat was present on the top of the soil core it was separated in the field and
placed in a separate container for analysis. Soil samples, therefore, were limited to the material
remaining with large roots, rocks and coarse debris removed.
3.1.2.3 Mosquitofish
Mosquitofish (Gambusia holbrookf) were collected with a Turtox Indestructable dipnet
(800 x 900-mm multifilament nylon net) with a 40-inch wooden handle. The sampler used the
net in an aggressive manner in an attempt to capture a complete size range of the fishes in the
area near the helicopter. When necessary, both crew members used the same technique to collect
the required number of mosquitofish to shorten the time at each sampling station. The fish
captured with each swipe of the net were handled with latex gloves and placed in a 5 x 8-inch
Fisher® plastic bag and labeled according to station number (place) and documented on the field
data sheet. A minimum of 15 individuals was collected at each site, when available, for THg,
QA/QC, and stable isotopes analyses. Twenty individuals were collected and preserved in
formalin for stomach content analysis. When fish were scarce and extremely hard to catch, the
priority samples were for THg and gut analysis. The fish in plastic bags were held on ice in the
field and frozen immediately upon return to the FIU laboratory.
3.1.2.4 Mosquitofish Food Habits Data Collection
Mosquitofish were collected for stomach analysis in September 1996 and 1999 and May
1999. Fish were collected from 101 locations in September 1996, 35 locations in May 1999, and
120 locations in September of 1999. The low water conditions of May 1999 limited the spatial
extent of aquatic habitat available for fish sampling at that time. Upon collection, the fish were
preserved in ajar with 10% formalin and transported to the laboratory. Twelve to 14 specimens
were obtained from each collection site for analysis of stomach contents. Additional logistical,
planning aids, step-wise sampling protocols, and methods details can be found in Appendix A,
Attachment 3.
3.1.2.5 Macrophytes
Macrophyte Census
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A census of macrophytes was conducted at all sites previously sampled by the
biogeochemistry team. Sampling sites, which had been temporarily flagged with tape marker by
the biogeochemistry team, were accessed by helicopter. GPS coordinates and siting of the
marker were used to land the helicopter. One hundred twenty sites were sampled from May 12 to
May 19, 1999, during Cycle 4, and 120 sites were sampled from September 30 to October 7,
1999, during Cycle 5. Data was collected by a 3-person team that included 2 EPA wetland
scientists and 1 FIU botanist or ecologist.
In the spring (Cycle 4) one or two transects were established at each site. The number of
transects established depended on the homogeneity of the site. If a single wetland community
type was present in the area, only a single transect was sampled. If two communities were
present, a second transect was sampled from the other community type. In Cycle 5 if only a
single community type was present in the area, 2 transects were sampled from that community,
with the second transect established at 90° from the far end of the first transect. A total of 178
transects were sampled in Cycle 4 and 240 transects were sampled in Cycle 5.
Each transect was 10m long, as defined by a rope marked off in 1-m intervals. Data on
species presence and periphyton % cover were taken from five 1-m2 quadrats laid out at 2-m
intervals on alternate sides of the transect. Quadrats consisted of two 0.5 x 1-m rectangles made
of PVC pipe that had been filled with styrofoam to maintain flotation. Each rectangle was halved
with string. Two rectangles were laid out side-by-side to make a 1-m2 quadrat subdivided into
four 0.25-m2 quadrats. Data on species presence was recorded from each 0.25-m2 quadrat, for a
total of twenty 0.25-m2 quadrats per transect. If an unknown species was present in a quadrat, it
was recorded with a number, collected, labelled, and brought back to FIU for identification.
Specimen nomenclature followed Wunderlin (1998).
At each site, the helicopter GPS coordinates, time, and water depth were recorded. A
picture was taken of the first transect and of the site from the air as the helicopter left the site.
Morphometric and Tissue C:N:PData
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Morphometric data were collected on two species to document plant responses to
changes in physicochemical conditions in sawgrass and wet prairie communities and to evaluate
their potential as indicator species. Sawgrass (Cladium jamaicense) and lance-leaf arrowhead
(Sagittaria lancifolia) were chosen based on their morphological variability and presence across
the entire ecosystem. Morphological measurements and tissue nutrient analyses were made on
individuals collected from the same sites as plant census and biogeochemical data.
Sawgrass culm number was counted in the third 1-m2 quadrat of every transect. At sites
where sawgrass was present, a single sawgrass plant was collected from each of the five 1-m2
plant census quadrats and brought back to the lab for morphometric measurements and C:N:P
analyses. Each specimen included the main shoot apex, mature leaves and rhizome. At 188 sites
(95 in Cycle 4, 94 in Cycle 5) distributed throughout the study area, 5 plants were collected from
a single transect. At 52 sites (38 in Cycle 4, 14 in Cycle 5), an additional set of 5 was collected
from the second transect (=10 total plants/site). In the May 1999 sample 8 sites were re-sampled
and an additional 5 plants were collected from these sites (=15 total/site); for 3 of these sites
both transects were re-sampled, for an additional 10 plants (= 20 plants/site). A total of 1,129
plants (606 in Cycle 4, 523 in Cycle 5) were sampled.
At sites where it was present, up to 5 plants of Sagittaria lancifolia on or adjacent to at
least one transect per site were harvested and brought back to the lab for morphometric
measurements and C:N:P analyses. The rhizomes, main shoot apex, and attached leaves were
harvested. A total of 648 plants (338 during Cycle 4, 305 during Cycle 5) were sampled from
140 transects (76 from Cycle 4, 64 from Cycle 5) at 122 sites (62 in Cycle 4, 60 in Cycle 5)
throughout the study area. Fourteen sites in Cycle 4 and four sites in Cycle 5 had plants
harvested from more than one transect.
Plant Tissue Mercury Concentrations
The Cycle 4 (May 1999) synoptic sampling also included the collection of five whole
leaves from sawgrass and cattail (Typha domingensis) plants at every site where each of these
species occurred. The whole leaves were placed in ziploc plastic bags for transport to the
laboratory for THg and stable isotope analyses.
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3.1.2.6 Periphyton
Periphyton cover was estimated to the nearest 10% from each of the five 1-m2 quadrats
established for macrophyte sampling. Periphyton volume was measured from a 8-inch diameter
stove-pipe corer used to core the periphyton and water column adjacent to each transect at each
site. To measure periphyton volume the periphyton material inside the corer was transferred to a
2,000-ml graduated cylinder with holes drilled in it, the water allowed to drain, then the volume
of the remaining material was recorded. A qualitative subsample of this material was removed
and later frozen for periphyton constituent and diatom analysis.
Three types of periphyton collected in the field were identified as either floating mat
(floating), soil mat (lying on the soil surface), or epiphytic (associated with Utricularid). These
three designations were most quickly determined in the field and were associated with the field
sampling procedures. These designations are not intended to denote ecological significance
because the periphyton mat can be found anywhere in the water column depending on stage of
growth or time of day. These designations were based on location at the time of field sampling.
The floating periphyton mat was sampled with a 3-inch diameter serrated edge cylinder to obtain
a comparable surface area and volume collected with the soil core sampler. These samples were
placed in a 4-oz. cup for volume to weight ratio analysis. To ensure enough additional sample
material was collected for the variety of analyses to be conducted, a 32-oz container was filled in
the field with each individual periphyton type available.
3.2 Sample Preparation Procedures and Laboratory Analyses
The measurement parameters and associated analytical methods utilized in Phase II are
listed in Table 3.3. Twenty surface water parameters, 11 porewater parameters, 13 soil
parameters, four parameters on three types of periphyton, and total mercury in sawgrass, cattails,
and mosquitofish were analyzed throughout the South Florida ecosystem. Surface water
parameters added in Phase II are indicated by asterisk and include filtered NH4+, NO2", NO3",
SRP, SO42" and unfiltered S2". All the porewater parameters were added including TP, TN, Br",
Cr, F-, SO42-, S2- and filtered NH4+, NO/, NCV, and SRP. Soil parameters added included CH4
and CO2. Diatom counts and biomass estimates of periphyton also were included. Total mercury
in sawgrass and cattails was measured only during the May 1999 dry cycle.
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Atomic fluorescence-based analytical and preparation methods were developed for
measuring ultratrace levels of inorganic and organic mercury in environmental (water, soil,
sediment, floe) and biological (tissue-fish, periphyton, macrophyte) samples (Jones et al. 1994).
For the analysis of total Hg in soil, sediment and fish the samples are digested with concentrated
nitric acid in sealed glass ampules, and subsequently autoclaved. Water samples are digested
using standard brominating procedures. A Merlin Plus, PS Analytical atomic fluorescence
spectrometer (AFS) system equipped with an autosampler, vapor generator, fluorescence
detector and a PC based integrator package is used in the determination of total Hg. The
determination of organic Hg species in water, without pre-derivitization, involves adsorbent pre-
concentration of the organomercurials onto sulfydryl-cotton fiber. The organic Hg compounds
are eluted with a small volume of acidic KBr and CuSO4 and extracted into dichloromethane.
Sediment, soil and tissue samples are homogenized and the organomercurials first released from
the sample by the combined action of acidic KBr and CuSO4 and extracted into dichloromethane.
The initial extracts are subjected to thiosulfate clean-up and the organomercury species are
isolated as their chloride derivatives by cupric chloride addition and subsequent extraction into a
small volume of dichloromethane. Analysis of organic Hg compounds was accomplished by
capillary column chromatography coupled with atomic fluorescence detection. Additional
refinements of these methods can be found in Cai et al. 1996; Cai et al. 1997; Cai et al. 1997; and
Cai et al. 1998. Additional details can be found in Appendix A, Attachment 3.
3.2.1 Water and Pore Water
Acidification of the Hg samples was made the same day following return to the clean
laboratory on the Florida International University (FIU) campus, where 5 ml of trace metal grade
HC1 per 1,000 ml of sample was added to each Hg sample. Water field blanks of Hg free
deionized water were taken into the field with each crew each day and analyzed for ultra trace
level THg before and after transport to the field. Additional details can be found in Appendix A,
Attachment 3.
3.2.2 Soil
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In the laboratory, the soil cores were further processed by mixing and removing
additional debris before placement in a 500-ml HDPE blender jar. A known amount of deionized
water was added to dry soil samples to achieve a slurry. Homogenization of the sample was
obtained in 30 to 60 seconds. This was a departure from the Phase I procedures where the soil
samples were not blended. The homogenized sample was then poured into multiple 4-oz cups for
THg, MeHg, TP, AP, CH4, CO2, AFDW, BD, mineral content, SO42; stable isotopes, and
QA/QC analyses. Following blending and splitting, all samples were frozen for later analysis
except for a set held at room temperature for enzyme and gas analysis.
3.2.3 Floe
The floe sample was blended in the laboratory and split into multiple 4-oz cups for THg,
MeHg, AP, CH4, CO2, TP, AFDW, BD, mineral content, stable isotopes, and QA/QC analyses.
Following blending and splitting, all samples were frozen for later analysis except for a set held
at room temperature for enzyme and gas analysis.
3.2.4 Mosquitofish
Individual mosquitofish were dissected and their gut contents removed and separated into
six categories: plant matter (pooling algae, vascular plant, and detritus), cladocera, aquatic mites,
chironomid larvae (midge larvae), adult midges, and other (primarily spiders, ants, aquatic
beetles, and fish). Counts of the number of items in all animal categories were recorded for each
mosquitofish, along with their sex and standard length. Males could be identified readily by the
presence of a gonopodium, and females were identified by presence of mature ovaries or by
standard length exceeding 18-mm. Juveniles were all fish below the 18-mm standard length
lacking a gonopodium. The presence or absence of plant matter was recorded for each specimen,
and if no food was present this was also noted. All food items for the fish from a single
population sample were pooled and the mass of each food category was determined. The sum of
these masses provided an estimate of the total mass of food consumed by that sample offish.
3.2.5 Macrophytes
3.2.5.1 Morphometric and Tissue C:N:P Analyses
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Sawgrass plants were measured within 24-hr of being returned to the laboratory. Each
plant was washed, roots were removed, and the number of mature, living leaves were recorded.
Leaves were considered mature when they had attained the gray-green color and general height
of the bulk of the leaves on the plant. Leaves which were more than 1/2 brown were considered
dead leaves. Leaf parameters measured for sawgrass were length of the longest mature leaf,
taken from its tip to the point of its attachment to the rhizome, and width half-way along the
length. Horizontal rhizome diameter was measured just behind the main apex.
In Cycle 5 the rhizome length and fresh weight were also measured and leaves were
harvested for C:N:P analysis. Rhizome length was measured from the angle where the apex
turned up to the distal cut end of the rhizome. Fresh weight was recorded after plants had been
washed, roots and dead material removed, and leaves clipped to 20 cm from the rhizome base.
The three most recently matured leaves per rhizome were sampled from each sawgrass plant and
dried to ambient temperature and humidity in a dehumidified room for tissue nutrient analysis. A
subsample of these leaves was processed for C:N:P analysis. To obtain the subsample, the
sample area was subdivided into six latitudinal strata and four to six sites were randomly chosen
from these strata for analysis. The five samples from these sites were further dried for 24 hr in an
80°C oven, then ground in a Wiley mill. One mg from each individual plant was bulked to make
a site sample for analysis. From two sites, one at the northern end and one at the southern end of
the study area, the five individuals per site were analyzed separately in order to examine within-
site variation. Samples were analyzed for % C, N, and P by the FIU SERC lab.
For Sagittaria lancifolia Cycle 4 plants were stored individually in plastic bags with
water and left in the greenhouse. Measurements on these plants were made over the course of
two weeks, in contrast to the Cycle 5 plants, which were measured within 24 hr of harvest. Prior
to measurement, soil, dead leaves, roots, and all leaves older than the third most recently
matured leaf were removed from the plants. In Cycle 4 measurements were made on the three
most recently matured leaves, while in Cycle 5, measurements were made only on the most
recently matured leaf. Leaf parameters measured for Sagittaria were leaf base length (from
insertion on the rhizome to where the leaf sheath unites), petiole length (leaf base tip to lamina
base), petiole diameter (adaxial to abaxial in the middle of the petiole), lamina width at its
broadest, and lamina length. Rhizome parameters measured for Sagittaria were rhizome length
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from the cut end to where the rhizome curved orthotropically and horizontal rhizome diameter in
the region of attachment of the recently matured leaves. Fresh weight of the rhizome was
measured after the three most recently matured leaves had been removed above 20 cm from the
rhizome base. The entire leaves were not removed in order to protect the shoot apical meristem,
as the rhizomes were used in other experiments. After measuring, the leaves were dried to
ambient temperature and humidity in a dehumidified room. Leaves from all plants from Cycle 4
were further dried in an 80 °C oven, ground in a Wiley mill, and analyzed for % C, N, and P by
the FIU SERC lab.
3.2.5.2 Plant Tissue Mercury Concentrations
In the laboratory Cycle 4 leaves collected from sawgrass and cattail plants were
subsampled by folding each individual leaf into halves again and again until the leaf bundle was
about 6 inches long. Thin cross-sectional slices of each leaf were cut off both ends of the bundle
with a stainless steel blade and placed in a 4-oz. cup. A composite of all five leaves was placed
in a series of 4-oz containers for THg, stable isotopes, and QA/QC samples. The tissue in all
containers was frozen.
3.2.6 Periphyton and Diatoms
3.2.6.1 Periphyton
In the laboratory, periphyton samples were prepared for analysis by removing any large
particulate matter, adding a known amount of deionized water to dry samples and blending to
achieve homogenization of the sample. An assortment of 4-oz cups were filled with the
homogenate for THg, MeHg, diatom composition, pigment analysis, and stable isotopes. A
volume to weight ratio for floating and soil biomass "cookies" was determined as well as
AFDW. A volume to weight ratio for epiphytic periphyton was determined by comparing the
volume in a cup to the subsequent dried weight. All samples were frozen following preparation
for later analysis.
3.2.6.2 Diatoms
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Subsamples of frozen periphyton material were thawed for diatom extraction. Diatoms
were cleaned of calcite and organics by oxidation with concentrated sulfuric acid, potassium
permangenate and oxalic acid. Once oxidized, samples were repeatedly washed with distilled
water and decanted until a neutral pH was achieved. A concentrated subsample was then
removed and dried onto a #1 coverslip. Coverslips were permanently mounted to microscope
slides using Naphrax® mounting medium. Five hundred diatoms were counted and identified on
random transects at 1008 X magnification on a Zeiss Axioskop microscope equipped with
Nomarski DIG optics. To ensure taxonomic consistency, a photograph of each taxon was taken
with a high resolution CCD digital camera equipped to the microscope.
3.3 QA/QC
Three analytical laboratories were utilized for QA/QC purposes as well as to process the
large volume of samples collected. Tables 3.1 and 3.2 indicate Project Laboratory
responsibilities (primary, primary QA/QC or secondary QA/QC), desired method detection
limits (MDLs), holding times and the anticipated sample numbers. A detailed Quality Assurance
Project Plan (QAPP) (Appendix A, Attachments 1 through 6) was prepared for this Project,
which can be referenced for additional details on the analytical methods and standard operating
procedures.
QA/QC has been an integral part of this project since its inception in Phase I and has
continued throughout Phase II. Numerous QA/QC comparisons in water, soil, sediment, and
tissue were conducted among the Project laboratories during Phase I. The addition of new
parameters in Phase II presented the need for additional comparisons. Because differences in
methods could produce differences in results, every effort was made to achieve agreement,
whenever possible, even though common methods could not always be required. The goal with
many of the parameters was to achieve the lowest consistent detection levels possible in order to
provide the greatest amount of useful information to the Project.
To streamline the QA/QC process in Phase II, a detailed Quality Assurance Project Plan
(QAPP) was developed during a pilot study to lay out data package requirements. (Appendix A).
The data quality requirements and validation was specified in seven areas: accuracy and bias,
precision, comparability, completeness, representativeness, tolerable background levels and data
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quality objectives (Stanley and Verner,1985; Smith et.al., 1988). Method detection limits were
specified based on the Phase I REMAP monitoring. Several detection limits were lowered where
lower detection levels were needed and could be achieved. The validation process considered
each of the following components using a statistically appropriate method.
3.3.1 Accuracy and Bias
Accuracy is the degree to which a measured value or property agrees with an accepted
"true" value (Taylor, 1988). Accuracy was estimated by measuring a sample with a known
reference value. Bias is the systematic error inherent in a method or caused by some artifact or
idiosyncrasy of the measurement system. Accuracy and bias were estimated by interlaboratory
comparison of performance evaluation (PE) samples. In addition to the PE samples, internal
standards developed by the laboratory were used to assess accuracy (bias) and matrix spikes
were evaluated to assess matrix interferences with the analytical procedure.
3.3.2 Precision
Precision is a measure of the scatter among independent repeated observations or
measures of the same property made under prescribed conditions (Taylor 1988). Precision was
estimated at several points in the data collection process in order to estimate the effects of
different sources of error. Precision can be partitioned into analytical and measurement system
precision. Analytical precision refers to precision of the analysis performed by analytical
instruments. It is estimated by laboratory replication, including replicates of performance audit
samples. Measurement system precision refers to the precision of the sampling process,
including sample collection, storage, transport, preparation and analysis. Colocated field
duplicates were used to estimate precision of the entire measurement system, and laboratory
splits were used to estimate the precision of sample processing after the sample had been
received in the laboratory. Independent sets of spatially distributed duplicates and splits
amounting to 10% of the data were analyzed for this purpose. Percent relative standard deviation
estimates were one of the statistics calculated for precision estimation.
Precision and bias are estimates of random and systematic error in a measurement
process (Kirchner 1983, Hunt and Wilson 1986). Collectively, they provide an estimate of the
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total error or uncertainty associated with an individual measurement, or set of measurements.
Estimates of the various error components was determined primarily by replicate sampling. The
statistical design and sampling plan minimized systematic errors in all components except
measurement error by using documented methodologies and standardized procedures (QAPP).
The use of more sensitive methods achieving minimum detection levels and the associated
analytical modifications were supported with additional documentation in the QAPP as the
process moved toward standardization. In addition, standard PE samples were included in the
laboratory and subjected to the entire measurement process. Variance components of the
collection and measurement process (e.g., among analytical laboratories) were estimated after
the pilot study and at the completion of each cycle so the QA efforts could be allocated to control
major sources of error.
3.3.3 Comparability
Comparability is defined as "the confidence with which one data set can be compared to
another" (Stanley and Verner 1985, Smith et al. 1988). Comparability studies were routinely
conducted among the cooperating laboratories. Analysis and interpretation of the Phase I and II
data was careful to evaluate change in the data making certain that changes, when they occur,
were not due to analytical modifications because this is all important in the development of trend
information. Typically, standard methods were used to assist with comparability, but there were
no standard methods for mercury when this program began and this is a program to develop and
refine analytical methods.
3.3.4 Completeness
Completeness requirements for this monitoring effort were that 90 percent of all
proposed samples were collected and analyzed. This goal was achieved, however, it does not
include sites where no samples could be obtained because the site was dry or located on private
land.
3.3.5 Representativeness
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Representativeness is defined as "the degree to which the data accurately and precisely
represent a characteristic of a population parameter, a variation of a property, a process
characteristic, or an operation condition" (Stanley and Verner 1985; Smith et al. 1988). The
statistical survey, sampling periods and sample locations were selected to ensure representative
samples. By following the statistical survey design which ensured probability samples were
collected, by definition, the sample was representative of the specific known proportion of the
population.
3.3.6 Tolerable Background Levels
Background is operationally defined as the amount of contamination due to collection,
handling, processing and measurement. It is particularly relevant to the measurement of trace
concentrations of mercury species. Background levels have not been tolerated due to the use of
"clean sampling and analytical techniques" and if detected, the source was isolated and
eliminated however, none was detected. Field and laboratory blank samples were added to each
day's samples and used to control and eliminate background contamination, assess background
levels and establish minimum detection limits and quantitation limits.
3.3.7 Data Quality Objectives
The assessment of Data Quality Objectives (Appendix A, Attachment 2) followed the
guidance provided in EPA QA/G-4 (EPA 1994). DQO's developed during Phase I were used for
comparison with QA results. Range checks were conducted for each constituent. Data were
plotted on control charts to ensure data are within the DQO specifications (e.g., ±3 standard
deviations, etc.) This assessment of the data was compared after the pilot study and each cycle of
spatial sampling for conformance to the Phase I results. The data were flagged, as appropriate, if
QC checks did not satisfy QA requirements. Additional QC analyses were conducted as part of
the statistical analysis of the data. Deviations with Phase I results were investigated and the most
probable explanation developed. The overall goal of maintaining consistency in the database
between Phase I and II is most important to provide an accurate basis for trend assessments.
Specific Data Package Requirements for all laboratories participating in this study
followed the guidance entitled "Laboratory Documentation and Quality Control Requirements
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for Data Validation" (EPA 1998). The QA/QC data review package with the associated
evaluations by FTN was presented to EPA Region 4 SESD OQA for final review (Appendix C).
The baseline data developed during Phases I and II has a very high degree of internal consistency
and future monitoring should endeavor to continue this consistency and comparability to
minimize the introduction of artifacts into the baseline that has been established.
3.4 Database Exploration and Analyses
3.4.1 Data Verification and Validation
Data verification and validation analysis were conducted on the data, both for QA/QC
and to establish the database for statistical and spatial analyses. This data set, with associated
meta data, can be obtained from EPA Region 4 SESD, Athens, GA. The Phase I technical report
complete with appendices and database are posted on the Region 4 website.
A number of statistical analyses were performed on these validated/verified data. These
analyses are briefly discussed below.
3.4.2 Statistical Analyses
3.4.2.1 Descriptive Statistics
Descriptive statistics, including the range, mean, median, standard deviation, and
quartiles for each constituent, by media, sampling cycle, and system type, were computed for
various subpopulations (whole ecosystem, 7 geographic subareas (Figure 1.1), area north of
Alligator Alley, etc.). These descriptive statistics provided initial insight into the structure and
attributes of these subpopulations in the South Florida Everglades ecosystem. Box and whisker
plots were computed and displayed by constituent, media, and subpopulations to provide a visual
image of the subpopulation attributes.
Cumulative distributions were computed for each constituent, by media, cycle, and
subpopulation to characterize the structure of subpopulations and to provide initial insight into
any data transformations that might be required for parametric statistical analyses. Constituent
information was sorted by latitude and longitude to determine if there might be north to south or
east to west gradients that could provide insight into possible ecological interactions or indicate
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other factors that might be contributing to the elevated Hg concentrations measured in the
Everglades ecosystem.
3.4.2.2 Exploratory Analyses
A number of exploratory analyses were conducted on the data to gain greater insight into
the structure and attributes of various subpopulations of interest. These exploratory analyses
included scatter plots and scatter plot matrices, principal component, regression tree, and cluster
analyses. These analyses identified several factors or principal components that contributed to
the distribution of Hg in various media throughout the Everglades.
3.4.2.3 Inferential Statistics
Once the population and subpopulation attributes were described, statistical tests were
performed to test various hypotheses about differences among subpopulation characteristics.
These test included the Cramer von Mises test (Kiefer 1959) for differences among cumulative
distributions, and analyses of variance and covariance to determine if various constituent
combinations were contributing to differences among subpopulations. General linear models also
were used to determine the proportion of the variance in fish Hg concentrations accounted for by
a suite of other factors and constituents. Structural equation models or path analyses were used to
test the strength of the data in supporting a series of risk hypotheses or conceptual models.
Frequency tables were used to evaluate possible differences among the distribution of selected
constituents.
3.4.2.4 Structural Equation Models and Path Analysis
Structural equation modeling is a general, but powerful multivariate technique used to
investigate hypothesized relationships among variables and test causal models with a linear
equation system. Structural equation modeling uses additive and multiplicative transformations
on lists of numbers to evaluate the relation of the data to the conceptual or causal model. For
example, for the list of numbers 1, 2, 3, the mean is 2 and the standard deviation is 1. If each
number in this list is multiplied by the constant 4, the mean becomes 8 and the standard
deviation becomes 4, or the variance becomes 16. If a relationship exists between a set of
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numbers, X, and another set of numbers, Y, such that Y = 4X, then the variance of Y must be 16
times that of X. This relationship permits testing the hypothesis that X and Y are related by the
equation, Y = 4X indirectly by comparing the variances of the Y and X variables (StatSoft, Inc.
2000). This is the underlying principle for path analysis. It is assumed there are sets of linear
relationships among multiple variables, as developed in the conceptual or causal models, and
that these relationships can be tested by examining the variances and covariances among
variables.
Structural equation models are linear approximations, so similar to any regression
equation, the fit will not be perfect. The purpose of these analyses are to describe the system of
relationships that are supported by the underlying data, and assist in understanding the processes
and pathways that are contributing to the system responses. Structural equation models are useful
because they permit a full evaluation of the conceptual models, including relations among
dependent variables in general linear models.
Path analyses or structural equation models are described in Allen (1997), Bollen (1989),
Bollen and Long (1993), Duncan (1975), Everitt and Dunn (1983), Hoyle (1995), James et al.
(1982), and in the journal, Structural Equation Modeling. Structural equation models have been
used extensively in the social and psychological sciences, and are starting to be used more in the
natural sciences.
3.4.2.5 Spatial Statistics
Kriging was used to characterize the spatial patterns of constituent concentrations
throughout the marsh ecosystems. Kriging predictors are obtained at a fine grid of sites (here,
every 0.1 ° latitude and longitude), from which a contour map of predicted values was obtained.
The contour map of predicted constituent concentrations was obtained using Surfer® for
Windows, version 9 (Golden Software, Inc. 2000). A linear kriging model was used consistently
across all plots.
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3.4.3 Media Specific Statistical Analyses
3.4.3.1 Mosquitofish Food Habitat Statistical Analyses
The percentage of each food category in the diet of fishes from each population sample
was calculated from the mass data. These percentages were analyzed in analyses of covariance
by grouping populations into geographic regions of the study area using two schemes. First,
populations were grouped according to the water management region where they were found:
WCA-1, WCA-2, WCA-3, Everglades National Park (ENP), and Big Cypress National Wildlife
Preserve (Big Cypress). There are general north-south gradients in productivity across the
Everglades following patterns of nutrient enrichment from agricultural runoff (Davis 1994,
Stober 1996). The effects of this pattern were examined by grouping the populations into seven
subareas by latitude and longitude. The average standard length offish from each collection was
retained as a covariate in these analyses. In all cases, data were examined for consistency with
the assumptions of standard statistical procedures such as normality, and transformations were
applied as needed to fulfill the assumptions of analyses (Zar 1984).
The trophic position of fishes (T) from each sample were estimated by the sum of the
trophic scores of their food items, multiplied by the proportion of the diet comprised by each
food type (Adams et al. 1983). Literature values were used to classify the invertebrate prey into
trophic groups. Adams et al. (1983; see also Winemiller 1990) provided the following equation
to estimate trophic levels:
(1) T,.= 1.0 + ST,(F,),
where T, is T offish species /',
ij is T of food itemy and,
Fy is the proportion of the food volume for species /' comprised by itemy.
Thus, an herbivore consuming entirely plant material received a T of 1.0. Detritus was given a T
of 0.2 because of the associated microbes inhabiting detrital particles. Diet breadth was
estimated based on the proportion of volumetric contributions attributable to each food type by
Levin's (1968) niche breadth formula:
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(2)
where B is Levin's niche-breadth measure, and Pj = proportion of volume contributed by
resource state j, for all species and size classes within each of those combinations. B ranges
from 1, when one resource is used exclusively, to n, the number of resource states.
3.4.3.2 Aerial Photograph Interpretation
Long-term monitoring of plant community distributions as indicators of biogeochemical
changes over broad areas such as the Everglades ecosystem can be implemented using remote
sensing and geographic information system (GIS) techniques.
The study area also was subdivided into latitudinal zones by the EPA. Depicted in
Figure 3.1 the boundaries between latitudinal zones correspond (from north to south) to 26.68°,
26.36°, 26.16°, 25.95°, 25.76°, 25.56° and 25.24°north latitudes. Within these latitudinal zones,
the following monitoring sites were randomly located for EPA field data collection:
1) 132 stations for the Cycle 4 dry-season field survey conducted in April, 1999; and 2) 126
stations for the Cycle 5 wet-season field survey conducted in September, 1999. Eight of these
monitoring sites fell outside of the EPA South Florida Ecosystem Assessment Project study area
and were subsequently dropped from the analysis. The UGA Center for Remote Sensing and
Mapping Science (CRMS) defined a 1 km2 area around each of the remaining 250 monitoring
sites for characterization of vegetation communities using remote sensing and GIS techniques.
Latitude and longitude values for all monitoring sites were used to create two Arc/Info
coverages, one containing Cycle 4 sites, the other Cycle 5 sites (see Figure 3.1). Six sites from
Cycle 4 and one site from Cycle 5 were selected for use in a pilot study designed to establish
appropriate field techniques and statistical analysis methods before the project fieldwork began
in April 1999. Eight sites provided to the CRMS fell outside both ENP and SFWMD boundaries
and were disregarded, leaving 128 Cycle 4 sites and 122 Cycle 5 sites - a total of 250 monitoring
sites.
Detailed vegetation databases previously compiled by the CRMS, NPS, and SFWMD
from 1:40,000- and l:24,000-scale color infrared (CIR) aerial photographs recorded in
1994/1995 were the primary data sources employed in this project. In each of these databases,
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the vegetation was photointerpreted and vegetation boundaries rectified to the Universal
Transverse Mercator (UTM) ground coordinate system tied to the North American Datum of
1983 (NAD 83) to within a root mean square error (RMSE) of approximately ±5 to 10 m. The
minimum mapping unit was one hectare. Details on the mapping procedures, ground truthing and
database development can be found in Welch et al. (1999) and Rutchey and Vilchek (1999).
These data sets provided consistent and detailed information on vegetation communities for 117
of the 250 EPA monitoring sites
Vegetation patterns for the remaining 133 monitoring sites were interpreted using USGS
CIR Digital Orthophoto Quarter Quads (DOQQs) covering WCA 1, WCA 2, EAA and a portion
of WC A 3. The DOQQs of Florida were derived from USGS NAPP aerial photographs (the same
1994/1995 NAPP photographs used in the CRMS/NPS mapping project). They are reported by
the USGS to meet planimetric accuracy standards of about ±3 m. Approximately 86 DOQQs
were required to interpret the vegetation for those sites not included in the original
CRMS/NPS/SFWMD databases.
For each site, a 1 km2 plot centered on the monitoring site was created in Arc/Info
coverage format (Figure 3.2). Vegetation data from the CRMS/NPS or SFWMD was clipped
from the corresponding area in the vegetation databases. Where no vegetation data existed, the
plot was digitally overlaid on the DOQQ and used as a template to interpret vegetation
communities and create a new vegetation map centered on the monitoring site.
Vegetation classes delineated within the 1 km2 plots followed the Everglades Vegetation
Classification System developed by the CRMS, NFS and SFWMD (Madden et al. 1999; Welch
et al. 1999). In this hierarchical system, 89 classes can be used to identify Everglades vegetation
to the plant community, association and species levels. These classes also can be used in
combination with numeric modifiers indicating factors affecting vegetation growth, (e.g.,
evidence of abandoned agriculture or altered drainage), information about the vegetation
distribution (e.g., scattered individuals) and important environmental characteristics (e.g.,
abundant periphyton). Figure 3.3 provides a description of the Everglades Vegetation
Classification System.
In order to accommodate the complex vegetation patterns found in the Everglades, a
three-tiered scheme was developed for attributing vegetation polygons (Welch et al. 1995;
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Obeysekera and Rutchey 1997). Using this scheme, interpreters were able to annotate each
polygon with a dominant vegetation class accounting for more than 50 percent of the vegetation
in the polygon. Secondary and tertiary vegetation classes were added as required to describe
mixed plant communities within the polygon. This three-tiered scheme, as well as the
hierarchical organization of the classification system, permits classes to be collapsed and
generalized as required to examine trends over space and time.
The digital data sets for 250 sites were used to create hardcopy maps and to generate
summary statistics of total area and percent cover for vegetation classes. To enable the efficient
production of hardcopy map products, an automated mapping interface was developed. The
interface allows each 1 km2 map to be plotted using a standardized map collar, which included
the EPA monitoring station name, cycle number, locator map, UTM grid, scale bar and legend.
Detailed plant community information is included as text labels within each polygon. Tabular
summary data of area and percent for each vegetation classification found in the 1 km2 map, are
automatically generated when the map is plotted and included in each map legend. The CRMS
provided a total of 250 page-size (8.5 x 11 in.) paper maps prior to the intended field survey
dates that included all monitoring sites in both Cycles 4 and 5.
3.4.3.3 Macrophyte Analysis
For both sawgrass and Sagittaria geographical trends in the data were initially analyzed
by plotting individual parameters against site and analyzing responses across geographical areas.
Covariance among parameters was analyzed using principle components analysis. Variation in
response to biogeochemical parameters and tissue nutrient concentration was examined by
regression/correlation of the first principle component(s) to the physical parameters. Variation in
parameters among plants and sites was analyzed with a nested analysis of variance for sawgrass,
while variation among leaves on individual plants, plants and sites was analyzed for Sagittaria
lancifolia.
Cluster Analysis
To quantitatively identify the major plant communities in south Florida wetlands, a
cluster analysis was performed on the species frequency data for all transects sampled during
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Cycles 4 and 5. A cluster analysis requires the selection of a distance metric, which measures the
similarity in species composition of each pair of transects, and the selection of a method for
defining clusters. Sorenson's distance was used to measure the similarity of each pair of sites /'
and j.
nik - njk
The sums are over each of the species encountered in the survey, and nik and njk are the
frequencies of species km sites /' and 7, respectively. Unweighted pair group mean averaging
(UPGMA) was used to form the clusters. This agglomerative method starts with each transect
forming a singleton. The pair of transects with the smallest value of Sorenson's distance form the
first cluster. During each iteration of the algorithm, the distance between each pair of clusters
(either singletons or clusters of multiple transects) are computed. For UPGMA the distance
between a pair of clusters is defined to be equal to the average distance between each pair of
transects comprising the two clusters, one from each component cluster. Then the pair of clusters
with the smallest distance are combined to form the next cluster. This procedure is continued
until all transects are combined into a single cluster.
The results of the cluster analysis were summarized in a dendrogram with branches
occurring at heights corresponding to the distances between each pair of clusters. This
dendrogram was used to classify the transects by designating a distance above which all
branches were taken to correspond to distinct community types. The specification of this
distance involved a trade-off between having more community types than could be easily
interpreted and having so few that they did not correspond to homogeneous assemblages. The
percent of transects containing each species was computed for each proposed community and
ranked from highest to lowest. Each proposed community was than identified by the species that
were found in 100 % or close to 100 % of the transects. If a proposed community was not
dominated by one or more species, then its cluster was further partitioned until a homogeneous
assemblage was obtained.
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Logistic Regression
Logistic regression was used to investigate the relationship between the frequencies of
common macrophyte species and geochemical variables. Let nt denote the frequency of a given
species out of the N = 20 quadrats in transect /', and xt is the corresponding value of a
geochemical variable. Assume that this frequency is binomially distributed; that is, the
probability that the frequency is equal to nt is given by
where p{ is the probability that an arbitrary quadrat from transect i contains the species. The latter
probability is modeled by
PI =
where P0, Pl3 and P2 are the parameters of the model. Maximum likelihood estimators of these
parameters were obtained using the generalized linear model procedure of S AS (SAS Institute
1999). Under the fitted model, a plot of p against % yields a bell-shaped curve with a peak at
Y*» • g* + 2g* (assuming that the estimate of P2 is negative), indicating the value of % that is
optimal for the given species. The breadth of the curve gives the range of conditions tolerated by
that species. By plotting the curves for the various species on the same graph, the ranges of
distribution of the various species were explored.
3.4.3.4 Diatom Analysis
Five hundred diatoms were counted and identified microscopically on random transects
through the slide. Counts were relativized and patterns in species abundances analyzed by non-
metric multidimensional scaling ordination with PC-ORD software. Species with significant
distributional patterns were plotted on spatial maps and their relationship to environmental
parameters analyzed by linear regression.
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3.5 Mass Estimates
Mass estimates for THg, MeHg, and TP were calculated for the study area. Periphyton
and fish Hg concentrations were measured and biotic densities estimated from the literature.
Water, floe, and soil Hg and TP concentrations were measured and the mass estimates can be
based on the spatial weighting factors associated with each probability sample. The spatial
weighting factors for a cycle in Phase I and Phase II were 51.7857 and 48.3333, respectively. If
the results of a variable were added to increase the sample size then the weight was divided by
the number of cycles added. However, due to the variance in the number of sample sites per
subarea from cycle to cycle final estimates were based on a constant area obtained by GIS for
each subarea to remove this source of variance in the mass estimates.
3.6 Ecological Risk Assessment
The EPA ecological risk assessment framework and guidelines for ecological risk
assessment (EPA 1992, 1998) have been the foundations for the South Florida Ecosystem
Assessment project since its inception. These approaches were used to help guide a relative,
comparative risk assessment of mercury in the South Florida Everglades ecosystem.
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Table 3.1. REMAP Phase II critical parameters by cycle.
Parameter
Primary
Lab
Primary
QA/QC
Secondary
QA/QC
Primary Lab
MDL
Holding
times
Site No.
Per
Cycle
Samp
No.
SURFACE WATER
DO
pH
Conductivity
Turbidity
Total Phosphorus
Total Nitrogen
Total Organic Carbon
Sulfate
Total Mercury
Methyl Mercury
SESD
SESD
SESD
SESD
FIU
FIU
FIU
SESD
FIU
FIU
SESD-SOP
SESD-SOP
SESD-SOP
SESD
SESD
SESD
SESD
SESD
Battelle
Battelle
SESD
0.2 mg/L
0.1 s.u.
1.0 uS
0.1 NTU
0.6 ug/L
0.03 mg/L
0.12 mg/L
0.05 mg/L
0.3 ng/L
0.02 ng/L
in-situ
in-situ
in-situ
48hrs
28 days (1)
14 days (1)
28 days
28 days
28 days
28 days
129
129
129
129
129
129
129
129
129
129
129
129
129
155
155
155
155
155
187
187
SOIL/SEDIMENT
Total Mercury
Methyl Mercury
Total Phosphorus
Ash Free Dry Weight
Bulk Density
FIU
FIU
FIU
FIU
FIU
SESD
Battelle
SESD
Battelle
4.3 ,wg/kg
0.2 Mg/kg
0.06 mg/kg
0.02 mg/kg
0.001 g/cc
28 days
28 days
28 days
129
129
129
129
129
15
155
155
155
155
MOSQUITO-FISH
Total Mercury
Length
Weight
FIU
FIU
FIU
SESD
Battelle
3.2ug/kg
0.1 mm
0.05s
28 days
14days(1)
14 days (1)
129
129
129
1043
993
993
THg in water = 129 sites, 16 field blanks, 13 duplicates, 16 equip, blanks, 13 splits = 187
Porewater (nutrients/anions) = 129 sites, 13 dups, 16 equip blanks, 13 splits = 171
THg in soil = 129 sites, 13 dups, 13 splits = 155
THg in fish = 129 sites @ 7 fish/site = 903, 90 dups, 50 stand, tissue = 1,043
(i)
Holding time goals
3-27
-------
Table 3.2. REMAP Phase II noncritical parameters by cycle.
Parameter
Primary
Lab
Primary
QA/QC
Secondary
QA/QC
Primary Lab
MDL"
Holding
Times
Site No.
Per
Cycle
Samp
No.
SURFACE WATER
(Eh) Redox Potential
Depth
Sulfide
(APA) Alkaline
Phosphate
Temperature
Chlorophyll a
Sulfate (filtered-0. 8)*
Filtered (0.8) Nutrients
(NH4,NO2, NO3, PO4)*
SESD
SESD
SESD
SESD
SESD
FIU
SESD
FIU
SESD-SOP
SESD-SOP
SESD
FIU
SESD-SOP
FIU
SESD
SESD
ImV
1 cm
0.01 mg/L
0.01 MM/h
0.15 C
0.1 Mg/L
0.5 mg/1
NO3-0.7 Mg/L
NO2-0.3 Mg/L
NH4-0.8Mg/L
SRP-0.6 Mg/L
in-situ
in-situ
7 days (1)
24 hrs (1)
in-situ
14 days (1)
28 days
48 hrs (1)
129
129
129
129
129
30
129
129
129
129
155
155
129
33
155
155
SOIL/SEDIMENT
Type
Thickness
PH
(Eh in situ) Redox
Potential
(Eh lab) Redox Potential
Sulfate
Mineral Content
(CH4) Methane*
(CO2) Carbon Dioxide*
(APA) Alkaline
Phosphate
SESD
SESD
SESD
SESD
SESD
SESD
FIU
FIU
FIU
FIU
1 cm
ImV
ImV
0.05 Mg/kg
3%
14 days (1)
14 days (1)
in-situ
in-situ
48 hrs (1)
28 days (1)
14 days (1)
48 hrs (1)
48 hrs (1)
129
129
129
129
129
129
129
129
129
129
129
129
129
129
129
155
155
155
155
155
MOSQUITOFISH
Sex
Food Habits Analysis
FIU
FIU
14 days (1)
129
129
993
993
PORE WATER*
Total Phosphorus*
Total Nitrogen*
Filtered (0.8) Nutrients
(NH4, N02, N03, P04)*
Anions (Br, Cl, Fl, NO2,
N03, SRP, S04)*
Sulfate*
Sulfide*
FIU
FIU
FIU
SESD
SESD
SESD
PERIPHYTON - Utricularia
Total Mercury
FIU
Battelle
0.6 Mg/L
0.3 mg/L
N03-0.7 Mg/L
N02-0.3 Mg/L
NH4-0.8Mg/L
SRP-0.6 Mg/L
ion chrom.
0.05 mg/L
0.01 mg/L
4.3 Mg/kg
28 days (1)
14 days (1)
48 hrs (1)
14 days (1)
28 days (1)
7 days (1)
28 days (1)
129
129
129
129
129
129
100
171w
155
155
155
171
171
110
3-28
-------
Table 3.2. Continued.
Parameter
Methyl Mercury
Diatoms*
Pigments*
Primary
Lab
FIU
FIU
FIU
Primary
QA/QC
Battelle
Secondary
QA/QC
Primary Lab
MDL"
0.2 Mg/kg
Holding
Times
28 days (1)
14 days (1)
14 days (1)
Site No.
Per
Cycle
100
30
30
Samp
No.
110
33
33
PERIPHYTON - Soil
Total Mercury
Methyl Mercury
Biomass*
Diatoms*
Pigments
FIU
FIU
SESD
FIU
FIU
Battelle
Battelle
4.3 Mg/kg
0.2 Mg/kg
lg
28 days (1)
28 days (1)
14 days (1)
14 days (1)
14 days (1)
100
100
100
30
30
110
110
110
33
33
PERIPHYTON - Floating
Total Mercury
Methyl Mercury
Biomass*
Diatoms*
Pigments
FIU
FIU
SESD
FIU
FIU
Battelle
Battelle
4.3 Mg/kg
0.2 Mg/kg
lg
28 days (1)
28 days (1)
14 days (1)
14 days (1)
14 days (1)
100
100
100
30
30
110
110
110
33
33
SAWGRASS
Total Mercury
Surface Area (% cover)
FIU
UGA
Battelle
4.3 ,ug/ku
28 days (1)
65
65
72
CATTAILS
Total Mercury
Surface Area (% cover)
FIU
UGA
Battelle
4.3 /j,gfka
28 days (1)
40
40
44
HABITAT EVALUATION
Food Habits Analysis*
Periphyton*
Macrophyte Analysis*
Aerial Photo
Interpretation
FIU
FIU
FIU
UGA
129
129
129
129
129
129
129
129
* Parameter added for the Phase II analysis
** minimum reportable quantities
(a) Porewater (nutrients/anions) = 129 sites, 13 dups, 16 equip blanks, 13 splits
(1) Holding time goals
= 171
3-29
-------
Table 3.3. Measurement and analytical methods for Phase II laboratories.
Media/Parameter SERC fFTLT) SESD/ESAT Battelle
Surface Water
Dissolved Oxygen
PH
Temperature
Conductivity
Redox Potential
Water Depth
Turbidity
Total Phosphorus
Total Nitrogen
Ammonium-N (filtered-0.8)
Nitrite-N (filtered)
Nitrate-N (filtered)
Soluble Reactive Phosphate
Total Organic Carbon
Sulfate
Sulfate (filtered - 0.8)
Sulfide
Alkaline Phosphatase
Total Mercury
Methyl Mercury
-
-
-
-
-
-
-
EPA365.1(modified)
Antek 7000N Analyzer
EPA 350.1
EPA 353.2
EPA 353.2
EPA 365.1
EPA 4 15.1 (modified)
-
EPA 300.0
-
Experimental Methodology
CVAF
CVAF
EPA 360.1
EPA 150.1
EPA 170.1
EPA 120.1
Voltage Meter
Calibrated Extensive Rod
EPA 180.1
EPA 365.1
EPA 351.1 + (EPA 300 or 353.2) (1)
EPA 350.1
EPA 353.2 or EPA 300
EPA 353.2 or EPA 300
EPA 365. lor EPA 300
EPA 415.2
EPA 300.0
EPA 300.0
Hach
-
CVAF
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
CVAF
CVAF
Pore Water
Total Phosphorus
Total Nitrogen
Ammonium-N (filtered)
Nitrite-N (filtered)
Nitrate-N (filtered)
Soluble Reactive Phosphate
Bromide
Chloride
Fluoride
Sulfate (ion)
Sulfide
EPA 365.1
Antek 7000N Analyzer
EPA 350.1
EPA 353.2
EPA 353.2
EPA 365.1
-
-
-
-
-
-
-
EPA 300.0
EPA 300.0
EPA 300.0
EPA 300.0
Hach
-
-
-
-
-
-
-
-
-
-
-
Soil/Sediment
Type
Thickness
Redox Potential (insitu)
Total Mercury
Methyl Mercury
Sulfate
Total Phosphorus
Ash Free Dry Weight
Bulk Density
Mineral Content
-
-
-
CVAF
CVAF
-
EPA 365.1
ASTMD2974-87
ASTMD4531-86
ASTMD 2974-87
Visual Classification
Visual Classification
Voltage Meter
CVAF
—
EPA 300.0
—
-
-
-
-
-
-
CVAF
CVAF
-
—
-
-
-
3-30
-------
Table 3.3. Continued.
Media/Parameter
Methane
Carbon Dioxide
Alkaline Phosphatase
SERC fFILT) SESD/ESAT Battelle
ASTMD 2974-87
ASTM D 2974-87
Experimental Analytical
Methodology
—
-
-
-
Periphyton - Utricularia
Total Mercury
Methyl Mercury
Diatoms
Pigments
Periphyton - Floating
Total Mercury
Methyl Mercury
Biomass*
Diatoms
Pigments
Media: Periphyton - Soil
Total Mercury
Methyl Mercury
Biomass
Diatoms
Pigments
Media: Sawgrass
Total Mercury
Media: Cattails
Total Mercury
Media: Mosquitoflsh
Total Mercury
Length
Weight
Sex
Gut Contents
Habitat Evaluation
Food Habits Analysis
Periphyton*
Microphyton*
Aerial Photo Interpretation*
CVAF
CVAF
ASTM D 2974-87
ASTMD 2974-87
CVAF
CVAF
-
ASTMD 2974-87
ASTMD 2974-87
CVAF
CVAF
ASTMD 2974-87
ASTM D 2974-87
CVAF
CVAF
CVAF
Measurement
Measurement
Visual
Visual
Visual
Experimental
Experimental
-
CVAF
-
-
-
CVAF
-
-
-
-
CVAF
-
-
-
-
CVAF
CVAF
CVAF
-
-
-
-
-
-
Experimental
Experimental fUGA)
CVAF
CVAF
-
-
CVAF
CVAF
-
-
-
CVAF
CVAF
-
-
-
CVAF
CVAF
CVAF
-
-
-
-
-
-
-
-
3-31
-------
26.36'
25.95
EAA
WCA1
Figure 3.1. EPA South Florida Ecosystem Assessment Proj ect study area and
locations of pilot study, Cycle 4 and 5 monitoring sites.
-------
pet MO
*
Kxil 0
¥-
KcMD
FSb 4
m
ts
PCcHD
}
Station M620
Cycle 4
Photo date: 12/27/54
PGe MO,9/ PCc MD/ FSb " '"" "> «^» w
PCctHD/FSb
FSb /PCctHD-i«aH.r"i*>
PGct HD/ PGe MD '
FSb / PGct H D/ SBs
0
I
WO
200m
I line »*wv» 'TOO n Bjiii»«e I
L'lM §nd tt 3fBm rftE«.^
CRMS-UGA
Figure 3.2. Sample vegetation map for a 1 km plot surrounding a single EPA
monitoring site.
-------
FOREST (B
Mangrove foresiirM}
ted (Rhwoptoera mangle} if Mr)
Black (AvicErtnia germ/nani} (K-MaJ
White ILaguncvlaria raeemosa) (FM|)
Mixed (CMx)
Swamp Forest (FS)
Mixed Hardwood if Sh)
Cypress Strands/Heads (FSrJ
Cypress Dome* (FSd)
Cypress-Mixed Hardwoods (FSx)
Misted Hardwootte, Cypress and Pine (FSa)
Cypress-Pines (FSCpi)
Bavhead (FSb)
Cocoplum (FSbc)
5HRUBLAND5 (SB)
Willow (SaWi! caroflrrrana) 6&s)
Pop Ash (Ffaxinus caroftnfana) (SBf)
Wax Myrtie (M^Jca ce/tfefa} (SBmt
GroundsBl Bush ( Baccnar « spp.) (SBbl
Buttonbusli (Cepra/a/i^i/i occ/derKa/Jj ) (SBc)
PNmrose (tudivfgra spp.) l>Bh
Cocoolum (
Other Forest
Buttofiwood (Cofuxaraus \
Subtropical Hardwood (FT
Oak-Saba! (POJ
Raunotis Palm (Acoe/orrnaphe uv-jghtii} (FH
Cabbage Palm (SafaaJ palmetto) {FQ
r erectui) (I-B/
Km
SAVANNA CSV)
Pine(Wni«eWott«KSVP|)
Slash Pine with Palrns (SVx)
Slash Pfne with Hardwoods (SVPIti)
Slash Pine with Cypress (SVPIt)
I Cypress (SUd
Dwarf Cypress (SVCdt
Cypress with Pine [SVCpf)
PRAIRIES AMD MARSHES (P)
Craminoid (PC)
Black-rush (Jluncus foeroef^antj
Muhly (Mu/itenbergia fr/ipes) [PGm]
Cord Grass (toiKfJna spp,) (PCs)
Spike-rush iEleocbam cettufosa) (PCs)
Common Reed (Phragrmtej spp.) 'PCp'
Maidencine (fenrCum hernrrtimon) (PGaJ
(PGw)
:I'C\)
Non-graminoid Emefgent iVtarsh (PE>
Halophytlc Herbaceous Praine(PH)
Craminoid (PHg)
Succulent (PHs)
Prairie with Scattered Pines (PPI>
I Saw Grass (CSadtum ramakenx) QPGc}
[all Saw Grass (PCct)
• Cat-tall (Typha 4pp.) Martii (PC)
CD SCRUB (S)
Mangrcsc 'ISM)
Red (Rft/zop^ofa mangtei (SMr)
Black (j%Jcennia germinarji) (SMa)
White (i^guncu^ar/d cacemosa) CSMl)
Mixed (S,VU)
Bultonwood (Conoca/pus efecli/s) (SQ
Saw Palmetto (Jenenoa repem)
Pinnacle Rock (PR>
Cultural Features
Structures and Cultivated Lawns (HI)
Pumping Stations (HI0)
Major (toads ( > 30 m wide) (RD)
Major Canals * > 30 m wide) [Q
Braided GRV I rails ( > 15 m wide» tORV)
Spoil Areas <5A>
SPECIAL MODIFIERS
Crami noid Deniity Classes
LD - Low Density
MD -Medium Deiiiily
HD - Hi^i Density
Hurricane Damage Classes
1 • Low to Medium (0% to 50% damage)
2 • High (51% to 75% damage!
• 3 • Extreme 175% damage)
Other
4 - Low Density (scattered Individuals)
5 -Human Influence
6 - Abandoned Agriculture
7 -Altered Drainage
« -High DensityORVTrails
9 -FVIphyton
10 - Treatment damage
11 - Other damage
12 -Ponds
13 - Exposed Rort
Figure 3.3. Everglades Classification System legend.
-------
4.0 MACROPHYTES
This chapter presents the results of the 3 macrophyte studies completed in the South
Florida Ecosystem in 1999. Section 4.1 presents the results of the aerial photo vegetation
assessment; Section 4.2 presents the results of the plant census study, and Section 4.3 presents
the results of the macrophyte morphometric and landscape parameter analysis.
4.1 Aerial Photo Vegetation Assessment
Remote sensing and GIS techniques were used to assess vegetation patterns in the EPA
South Florida Ecosystem Assessment Project. Tables 4.1 and 4.2 list the percent cover of major
vegetation classes; cattail, sawgrass, wet prairie and other, for all 250 1-km2 maps organized by
region (Table 4.1) and latitudinal zone (Table 4.2), respectively (Welch and Madden 2000).
By region, cattail is most abundant in WCA2, covering nearly 25%, while only 1 percent
of ENP contains cattail (Figure 4.1). Sawgrass covers approximately 40% of most regions with
the highest coverage (55%) in ENP. Wet prairie ranges between 15 and 29% cover in all regions
except ENP where wet prairie covers only 11%. Other vegetation is most abundant in the EAA
and ENP, covering 45 and 33%, respectively.
The distribution of vegetation summary statistics by latitudinal zones is shown in
Table 4.2 and Figure 4.2. Ranging from north to south (left to right on the table and graph),
cattail coverage decreases steadily from 12 and 17% in the northern most zones to 1.5 and 0.4%
in the southern most zones. Sawgrass coverage is fairly constant among northern zones (40 to
35%) and peaks at 68 and 44% cover in the most southern zones. Wet prairie decreases
considerably at the northern border of ENP (25.76°), most likely due to the blockage of water
flow by Tamiami Trail (US Highway 41) running east-west at this location. Other vegetation
cover is distributed fairly evenly across latitudinal zones with the highest coverage in the
southern most zone made up mainly of mangrove scrub and forest vegetation.
The spatial distribution of the four major vegetation classes over the entire study area is
shown in Figure 4.3. The proportion of vegetation cover in each monitoring site is represented
by a pie chart and the slices of the pie chart represent the relative areas of the four major
vegetation classes within the 1-km2 plots. Pie charts representing Cycle 4 monitoring sites are
outlined in blue, while those representing Cycle 5 sites are outlined in red. Sites in which
4-1
-------
periphyton existed in greater than 25% of the 1-km2 plots are indicated with an asterisk placed at
the center of the pie chart. It should be noted that given the difficulties in consistently identifying
periphyton, as well as its transitory/seasonal nature, periphyton identification should not be
considered definitive but rather indicative of potential areas of excessive periphyton growth.
The graphs depicted on the map represent histograms of dominant and secondary
vegetation types, generalized into the four major vegetation classes. The smaller histograms
summarize the total area included in each generalized class by region, namely: LOX, WCA2,
WCA 3, Rotenberger/Holey Land EAA and ENP. Background colors in these histograms
correspond to the colors of the region that is represented. The larger histograms, with white
backgrounds, summarize the total area included in each generalized class by latitudinal zone.
In addition to representing major vegetation cover at each monitoring site, Figure 4.3 also
provides spatial information on vegetation trends and characteristics by region and by latitudinal
zone. For example, pie charts colored more than one half in dark blue and denoting monitoring
sites dominated by wet prairie, are clustered within LOX, in the lower two-thirds of WCA 3 and
within two particular areas of ENP. The distribution of predominantly wet prairie monitoring
sites in the WCAs can be correlated with man-made structures such as canals and roadways that
restrict hydrologic flow and tend to pool water. The two clusters of wet prairie sites in ENP
occur within natural features, namely, Shark River Slough and Taylor Slough. The distribution
of sites containing considerable proportions of cattail (colored red) are also grouped within
WCA2, the north and east portions of WCA3 and the northeastern section of ENP. These sites
appear to coincide with canals and may warrant further investigation of spatial correlations with
nutrient levels within the system.
In order to determine if the proportion of vegetation types and areal coverage within the
monitoring sites is representative of vegetation distributions over the entire Everglades study
area, a comparison was made between the percent cover of 10 general vegetation classes as
mapped within a subset of the monitoring sites and within the corresponding area in existing
databases. Figure 4.4 depicts 30 monitoring sites in the northern portion of WCA3 (WCA3-N)
that correspond with the existing WCA3 vegetation database (shaded in grey). Likewise,
44 monitoring sites corresponded with the northern portion of the ENP (ENP-N) vegetation
database. The percent cover of vegetation was tallied for ten general classes defined by the EPA
as sawgrass, wet prairie, muhly grass, cattail, mixed graminoid, non-graminoid emergent,
4-2
-------
bayhead, pine/hardwood, water and other vegetation (Table 4.3). Results show that there is a
high degree of correspondence between the percent cover of vegetation types in the monitoring
sites of both WCA3-N and ENP-N with the percent cover derived from the existing databases.
The greatest difference was only 7.1% for sawgrass in ENP-N, and the difference for all other
vegetation types was less than 4%. The average difference in percent cover for vegetation types
in ENP-N was 1.5% and the average for WCA3-N was 0.4%.
Figures 4.5 through 4.8 depict isolines representing predicted percentages of cover across
the study area for each of the four major vegetation classes. Figure 4.5 illustrates relatively high
proportions of cattail in WCA 2, the northeast section of WCA 3, and the border of ENP and
WCA3 for the combined Cycle 4 and 5 monitoring.
Relatively even percentages of sawgrass were interpolated throughout the study area
(Figure 4.6), while wet prairie isolines (Figure 4.7) reveal higher percentages within WCA 2, the
lower two-thirds of WCA3 and slough areas of ENP. As expected, the highest levels of "other"
vegetation are inside the Rotenberger/Holey Land EAA, largely due to abandoned agriculture in
the EAA and the higher elevation pinelands area in ENP (Figure 4.8). These results illustrate the
possibility of extrapolating information gathered within sample sites to the greater Everglades
Ecosystem study area using spatial data analysis techniques such as kriging interpolation.
These patterns of major vegetation distributions over the entire study area were depicted
in a map specially designed to visualize general trends in areal summary statistics. In addition, a
comparison of areal statistics for monitoring sites with statistics derived from full-coverage
vegetation databases confirmed randomly selected 1-km2 plots adequately represented vegetation
cover in the South Florida Ecosystem Assessment Project study area. Spatial interpolation of
vegetation cover between monitoring sites also demonstrated the possibility of extrapolating
sampled vegetation data to the broader landscape.
The 1994/1995 vegetation distributions documented in this study are now a baseline
against which changes can be measured. It is anticipated that these methodologies can be used to
efficiently monitor future vegetation and spatially analyze change as an indicator of
biogeochemical fluctuations in the Everglades Ecosystem.
4.2 Plant Community Census
-------
One hundred and sixty-one taxa were collected during the macrophyte census study. One
hundred twenty eight of these taxa were identified to the species level and eight to the genus
level, for a total of 136 identified taxa. Twenty-five plants could not be identified from the
material collected.
4.2.1 Species Frequency Among Transects
The 136 species that were identified are listed in Table 4.4. Approximately one third
(54 species or 34%) of all taxa were found in only a single transect (Table 4.5). Ninety-one
percent (146 taxa) were found in fewer than 10% of all transects. Fifteen species occurred in
more than 10% of the transects (43 - 309 transects) (Table 4.5), with the most common species
found being sawgrass (Table 4.6).
The majority of species identified were dicotyledons (59%), followed by monocotyledons
(33%), then ferns (6%) (Table 4.7). The most well represented families were the Cyperaceae
(18 species), Poaceae (16 species), and Asteraceae (16 species) (Table 4.4). Only five exotic
species (Alternantheraphiloxeroides, Ludwigiaperuviana, Lygodiumjaponicum, Melaleuca
qiiinquinervia, and Panicum repens) were encountered on the transects. We found six endemics
and an additional 121 native species (Table 4.4).
The number of live species per transect ranged from 0 (site 605, where all species were
dead) to 30 (Table 4.8, Figure 4.9). The median and modal number of species per transect was 5,
and the number of species per transect did not differ between the spring (Cycle 4) and fall
(Cycle 5) sampling events. Only 8 transects (<2%) distributed among 6 sites had more than
15 species per transect.
4.2.2 Unidentified Species
Fifteen of the 25 unidentified taxa were collected during Cycle 4, while 10 were collected
during Cycle 5 (Table 4.9). Nine of the Cycle 4 unidentified species came from a unique site,
site 604, in the rocky glades area of ENP. In general the unidentified species were infrequent at
the sites at which they were found, occurring in only one or two of the 20 quadrats sampled per
transect (Table 4.9).
4-4
-------
4.2.3 Cluster Analysis Results
After reviewing the results of defining 2 to 30 clusters, we used a grouping of 8 clusters
to define communities, analyze their spatial distributions, and relate their occurrence to abiotic
parameters. The dendrogram for these clusters is diagrammed in Figure 4.10.
The 8 clusters consisted of 4 relatively large clusters, each having more than 15 transects,
and 4 small clusters, each with only 1 to 3 transects (Figure 4.10, Tables 4.10 and 4.11). The
frequency of the 5 most common species in each large cluster is given in Table 4.12.
The distribution of clusters across the study area is given in Figure 4.11, while subsets of
the clusters are mapped in Figure 4.12 and 4.13. There were two Typha clusters dominated by
the southern cattail, Typha domingensis—a relatively large one with 18 transects and a smaller
Typha-Sagittaria cluster with 2 transects (Figure 4.10). In the dendrogram these 2 clusters
formed a branch distinct from the rest of the clusters (Figure 4.10).
The other large clusters (i.e., Nymphaea-Utricularia, Eleocharis cellulosa, and Cladium
clusters) correspond to major south Florida communities recognized by other researchers (Davis
1943; Loveless 1959; Gunderson 1994, Doren et al. 1996, Jordan, Jelks and Kitchens 1997,
Olmstead and Armentano 1997), whereas the small clusters (i.e., M707,the Rynchospora tracyi
cluster, and M604) define several unique associations. The following sections describe the
4 large clusters, then the 4 smaller ones.
The sawgrass (Cladium jamaiceme) cluster included 55% of the transects (Tables 4.6,
4.10 and 4.11). This cluster was defined by the presence of sawgrass, which occurred in all of its
transects (Table 4.12). The next most frequent species, Utriculariapurpurea, occurred in 26% of
the transects. Transects belonging to this cluster occurred throughout the study area
(Figures 4.11 and 4.13).
The cattail (Typha domingensis) cluster had 4% of the transects (Table 4.12). This cluster
was defined by the presence of cattails, which were found in all of its transects. The next most
frequently associated species, Sagittaria lancifolia, occurred in 44% of the cluster's transects.
Transects belonging to this cluster were concentrated in the northern part of the study area
(Figures 4.11, 4.12).
A water lily-purple bladderwort (Nymphaea odorata-Utriculariapurpured) cluster,
which comprised 17% of the transects (Tables 4.10 through 4.12, Figures 4.11 and 4.12), was
defined by an aggregation of species, none of which occurred in all of the transects belonging to
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this cluster. The most common species in the cluster were N. odorata, found in 87% of the
cluster transects, and U. purpurea, found in 78% of the transects. Four other species (Eleocharis
elongata, Panicum hemitomon, Utricularia foliosa and Utricularia gibbd), were found in 52% to
57% of the transects (Tables 4.10 and 4.12). Eight additional species occurred in more than 10%
of the transects (Table 4.10). This cluster was common in the LOX subarea and in the central
part of the study area, following the Shark Slough drainage (Figures 4.11 and 4.12).
An Eleocharis cellulosa (spikerush) cluster included 22% of the transects (Table 4.12).
E. cellulosa occurred in all transects of this cluster, but Utricularia purpurea, which was found
in 72% of the transects, and sawgrass, which was found in 60% of the transects, were also
common (Tables 4.10 through 4.12). An additional 12 species were found in more than 10% of
the transects (Table 4.10). This cluster was common in the central and southern part of the
system but was lacking from the northern areas and from the region of Everglades National Park
that separates Shark Slough from Taylor Slough (Figure 4.12).
The 4 small clusters included sites with the greatest species diversity. These clusters are
described in the following section.
A small Typha cluster that had 2 transects from 2 sites (Tables 4.10 and 4.11) co-
occurred with the larger Typha cluster (Figures 4.11 and 4.13). This small cluster differed from
the larger Typha cluster in the consistent presence of Sagittaria lancifolia (Table 4.10 and 4.12).
A single site in the rocky glades area of ENP formed a unique cluster. This site, M604,
occurred on the eastern edge of ENP and had a single transect (Figure 4.13). M604 had the
highest species diversity in the study. Many of its taxa were typical south Florida pineland
species (Table 4.10), and pinelands typically have the greatest species diversity in south Florida
communities (Gunderson 1994).
The third small cluster had 3 transects from 3 sites where Rhynchospora tracyi, Tracy's
beakrush, occurred in all transects. Two of the three transects came from adjacent sites in the
LOX subarea, whereas the third was found in the northeast region of ENP (Table 4.10,
Figure 4.12). These 3 transects were the only cluster where R. tracyi was the defining species.
This is in contrast to previous descriptions of south Florida plant communities (Loveless 1959,
Goodrick 1984, Gunderson 1994), which have recognized a prominent beakrush community.
R. tracyi was one of the 15 most common species on our transects, especially in LOX and ENP
(see Section 4.2.5), occurring in 17 to 24% of the transects in the sawgrass, Nymphaea-
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Utricularia, and Eleocharis clusters. This species did not, however, form a distinct community
in our analysis.
A cluster of 2 transects that had a high frequency of grasses, such as Panicum tenerum
and Eragrostis elliottii, came from a single site, M707, in the northwestern part of ENP
(Table 4.10, Figure 4.13). With 22 and 24 species per transect this site, which was a wetland site,
had the second highest species diversity in our study. We need more information on the
distribution of this unique community.
Designation of more clusters did not substantially alter community composition. If the
data set was aggregated into 30 clusters, there were 8 large clusters that had 12 or more transects
each. These 8 accounted for 86% of the transects and consisted of 3 sawgrass clusters
(205 transects), 2 Eleocharis cellulosa clusters (91 transects), a Utriculariapurpurea-Nymphaea
odorata cluster (41 transects), an Eleocharis elongata cluster (12 transects) and a cattail cluster
(12 transects).
The median number of species/transect differed among clusters. Two of the small
clusters, the rocky glades cluster (M604, Figure 4.10) and the wet prairie grass cluster (M707,
Figure 4.10) had the highest species numbers of any transects in the study, as described above.
When the unknowns for these sites were included, the rocky glades cluster had 30 species on its
single transect, while the wet prairie grass cluster had 22 and 24 species on its two transects. The
Nymphaea-Utricularia cluster had a median of 7 species/transect, the Eleocharis cluster had a
median of 6, the sawgrass cluster had a median of 5, and the Typha cluster had a median of 4.
4.2.4 Analysis of Clusters in Subareas
The subareas differed in the total number of species found. WCA2 had the fewest
species, while LOX, Shark River and Taylor Sloughs had the most species (Table 4.13). When
transects within subareas were clustered, the resulting groups generally resembled those found in
the larger data set, although some refinements of the major groups also emerged. Not all of the
clusters or even all of the major clusters found in the overall analysis were present in each
subarea, and the frequency of clusters that were present varied among subareas (Figure 4.12 and
4.13).
The LOX subarea had 41 transects with 48 species. These transects aggregated into
2 large clusters and 1 small one (Figure 4.14, Table 4.14). The large clusters were aNymphaea
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odorata cluster (22 transects), which also had Utriculariapurpurea and Eleocharis elongata at
high frequencies, and a sawgrass cluster (17 transects). The small cluster had 2 transects, which
were the 2 Rhynchospora tracyi transects recognized in the analysis of the entire dataset
(Figures 4.12 and 4.14).
WCA2 had 41 transects with 23 species grouped into 3 major clusters (Figure 4.15,
Table 4.15). The largest of these was a sawgrass cluster that had 30 transects. The other two
were aNymphaea odorata-Utriculariapurpurea-Eleocharis cellulosa cluster with 5 transects
and a cattail cluster with 6 transects. The cattail transects were from the periphery of WCA2,
while the Nymphaea transects occurred on the southern edge (Figure 4.15). The sawgrass cluster
occurred throughout (Figure 4.15).
WCA3-N had 43 transects with 49 species. These transects aggregated into a major
sawgrass cluster with 33 transects and 2 small clusters (Figure 4.16, Table 4.16). One of the
small clusters was a cattail group with 7 transects. The other was a small group of 3 transects
from 2 sites west of the Miami Canal. Paspalidium geminatum was the most common species
shared among these transects.
WCA3-SE had 49 transects with 18 species. A 3-cluster partition identified a large
sawgrass cluster with 28 transects, a cluster of 14 transects dominated by N. odorata and a small
group of 7 transects defined by E. cellulosa (Figure 4.17, Table 4.17). The Nymphaea transects
were found northwest of the L-67 canal, while the Eleocharis transects were in the eastern half
of the subarea (Figure 4.17). The sawgrass transects were distributed throughout. A 4-cluster
partition subdivided the sawgrass group into a 9 transect cluster that was primarily sawgrass and
a more diverse 19 transect cluster that also had U. purpurea present in all transects (Table 4.17).
WCA3-SW had 76 transects with 36 species. Aggregating the transects into four clusters
produced a singleton cluster (M573), a small cluster of 5 transects dominated by E. cellulosa,
and two large clusters (Figure 4.18, Table 4.18). One of the large clusters was a sawgrass cluster
with 38 transects, while the other was a cluster of 34 transects dominated by N. odorata,
Utricularia purpurea, and Panicum hemitomon. Increasing the number of clusters in this region
to six identified an additional singleton cluster (M552) and subdivided the N. odorata cluster.
The two new clusters were a group of 15 transects dominated by P. hemitomon and Paspalidium
geminatum and a second group of 18 dominated by N. odorata and U. purpurea (Figure 4.19;
Table 4.18). A/1, hemitomon -Paspalidium geminatum cluster was not recognized in the overall
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data set. The Nymphaea-Utricularia cluster dominated the central part of WCA3-SW, especially
in the south, while the Panicum-Paspalidium cluster was more common in the northwest part of
the subarea (Figure 4.19).
The Shark River Slough subarea had 98 transects with 66 species. One site, M605, had
dead cattails but no living species present. This site was removed from the analysis, leaving
97 transects. If these transects were aggregated into 2 clusters, 1 of the 2 had 2 transects from a
single site, M707. This cluster, which had the second highest species diversity in the study, was
also identified in the clusters from the entire data set (Figure 4.13).
Clustering the Shark River Slough transects into 5 groups identified a singleton cluster
(M587), 2 small clusters and 2 large clusters (Figure 4.20, Table 4.19). M587 was one of the
three transects that formed the Rhynchospora tracyi cluster in the entire data set. The small
clusters were the M707 site and a small group of 7 transects dominated by E. elongata but also
having P. hemitomon, R. tracyi, and U. purpurea in high proportions. One of the two large
clusters was a sawgrass cluster with 33 transects, which also had Bacopa caroliniana,
E. elongata, and R. tracyi. The second large cluster had 53 transects. It was dominated by
E. cellulosa but had high percentages of sawgrass and U. purpurea (Figure 4.20, Table 4.19).
Defining six clusters did not make major divisions of these larger clusters, but when seven
clusters were recognized, the sawgrass cluster was subdivided into a cluster of 21 transects that
had sawgrass with Eleocharis elongata in 71% of the transects, and a cluster of 12 transects that
had sawgrass and R. tracyi in all of the transects (Table 4.19).
The Taylor Slough (TS) subarea had 51 transects with 81 species. Initial clustering
identified the single transect from site M604 as unique, as recognized in the analysis of the entire
dataset. Removing this site from the analysis left 50 transects with 71 species. These clustered
into 1 large and 2 small groups (Figure 4.21, Table 4.20). The large group was a sawgrass cluster
of 35 transects that also hadR. tracyi and U. gibba in more than 40% of the transects
(Table 4.20). The two smaller groups were a cluster of 7 transects dominated by E. cellulosa and
R. tracyi and a cluster of 8 transects that had sawgrass but also P. hemitomon (88%), Cassytha
filiformis (75%), R. tracyi (75%), as well as other species. The sawgrass and sawgrass-Panicum
+ clusters were intermixed throughout the subarea, but the E. cellulosa cluster was found only in
the southern part of the subarea (Figure 4.21).
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4.2.5 Individual Species Distributions
Many of the common species occur in more than one cluster. Figures 4.22 through 4.61
map the distributions and provide the frequency per transect and percent occurrence by subarea
for the 15 most common species.
Cladiumjamaicense, sawgrass, was present in 74% of all transects (Table 4.6). Sawgrass
was distributed throughout the system and was abundant where it occurred (Figures 4.22 and
4.23). The sawgrass cluster had 229 transects, but this species was also present in an additional
80 transects (309 of the 418 transects surveyed). Sawgrass was common along the transects,
occurring in all 20 quadrats of 157 (51%) of the transects in which it was found (Figure 4.24). It
was not evenly distributed throughout the system, however, being most frequent in the north,
except for LOX, and south. Sawgrass was less common in the central areas (Figures 4.22, 4.25,
and 4.26).
For transects in which sawgrass was present in the third 1-m2 quadrat, the number of
culms per m2 ranged from 1 to 113 with a median number of 18. Density varied spatially in a
manner similar to frequency among transects, so that the densest populations occurred in areas
that had the most transects with sawgrass (Figures 4.25 and 4.26). Sawgrass morphology,
however, had a different pattern. The largest sawgrass plants with long leaves and thick rhizomes
were found in WCA3-SE and WCA3-SW (Figure 4.27), where sawgrass was least dense and was
less common among transects (Figures 4.25 and 4.26). The smallest sawgrass plants, which had
shorter leaves and narrower rhizomes, were found in Shark and Taylor Sloughs (Figure 4.27),
where sawgrass had high frequencies per transect and intermediate to high culm densities
(Figures 4.25 and 4.26). Transects in WCA2 and WCA3-N had high sawgrass densities, high
frequency per transect, and large sawgrass plants (Figures 4.25 through 4.27). In the literature
sawgrass communities have been characterized as dense vs. sparse and tall vs. intermediate or
short, as well as dense vs. short. The asymmetry of the relationships among frequency, density,
and size reported here quantify the reason for this confusion in the characterization of these
communities.
Three species of bladderworts, Utriculariapurpurea, U.foliosa and U. gibba, were
among the 15 most frequent species (Table 4.6). U. purpurea was the second most common
species, being present in 44% of all transects (Table 4.6). U.foliosa and U. gibba were
approximately half as abundant; both occurred in 23% of the transects (Table 4.6).
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None of the Utricularia species were evenly distributed throughout the Everglades
(Figures 4.28 and 4.31). Both U. purpurea and U. foliosa were more common in LOX and in the
southern part of WCA3 and Shark River Slough, tracking the longer hydroperiod parts of the
system (Figures 4.28 through 4.30). Both species had their lowest frequencies per transect in
WCA2, WCA3-N, Rotenberger-Holeyland, and Taylor Slough (Figure 4.29).
Because Utricularia gibba is a small plant that grows as a free-floating filament or
embedded in the soil, it is a less obvious component of communities than U. purpurea and
U. foliosa. It was, however, as common in the transects as the latter species (Table 4.6). U. gibba
had a pattern of distribution similar to the other two species (Figures 4.31 through 4.33), with the
exception that it was relatively more common in Taylor Slough (Figures 4.31 and 4.33).
Three species of spikerush, Eleocharis cellulosa, E. elongata, and E. interstincta,
appeared in the transects. E. cellulosa was most common, occurring in 36% of all transects,
followed by E. elongata (19% of all transects; Table 4.6), while E. interstincta was found in only
3 transects—2 in LOX and 1 in WCA3-SE. E. interstincta occurred in only 1 quadrat of each
transect where it was found.
E. cellulosa and E. elongata were not evenly distributed throughout the ecosystem and
had somewhat different frequencies and distributions (Figures 4.34 through 4.36). E. cellulosa
was rare in the northern part of the system, while E. elongata was common in LOX but sparse in
WCA2 and the northern part of WCA3-N (Figures 4.34 and 4.36). LOX was the only subarea
where E. elongata was more commonly found than E. cellulosa (Figure 4.35). Both species were
absent in samples from the area of ENP that separates Shark River Slough from Taylor Slough
(Figure 4.34).
Maidencane, Panicum hemitomon, was rare in WCA2 and the Rotenberger-Holeyland
tract but was found throughout the rest of the ecosystem (Figures 4.37 and 4.40). This species
had both the greatest frequency per transect and was most common on the western side of
WCA3-SW, followed by LOX (Figures 4.37, 4.39 and 4.40).
Although Paspalidium geminatum, Egyptian paspalidium, occurred in approximately half
as many transects as P. hemitomon (17% vs. 32%, Table 4.6), P. geminatum'?, distribution was
similar to Panicum hemitomon'?, (Figures 4.37, 4.38 and 4.40). In addition to being less
abundant, P. geminatum was generally less frequent along a transect than P. hemitomon,
especially in LOX and WCA3-SW (Figure 4.39). The exception to the relative abundances of
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these two species was in the Taylor Slough region of ENP, where Paspalidium geminatum had a
greater frequency per transect than Panicum hemitomon (Figure 4.39).
Sagittaria lancifolia, the lance-leaf arrowhead, was found in 27% of all transects
(Table 4.6). S. lancifolia was widespread, although it was infrequent in the interiors of LOX,
WCA2, and the central part of Shark River Slough (Figures 4.41 and 4.43). It was most common
in WCA3-N and in the Rotenberger-Holeyland tract (Figure 4.41), where it occurred in over
70% of the transects sampled (Figure 4.43). When it was present, the species tended to occur in
two to three 0.25-m2 quadrats per transect, except in WCA3-N, where it was more frequent
(Figure 4.42).
Twenty-four percent of the transects had water hyssops, Bacopa caroliniana . This
species was most common in the western part of the ecosystem, although it was also found at
lower frequencies per transect in LOX (Figures 4.44 through 4.46). It was infrequent in WCA2,
WCA3-SE, and in Taylor Slough (Figure 4.44). B. caroliniana was most abundant and had the
greatest frequencies per transect in the western parts of WCA3 and in Shark River Slough
(Figures 4.44 through 4.46).
Nymphaea odorata, the white water lily, was found in 23% of all transects (Table 4.6). It
was most common in LOX, WCA2, and WCA3-SE and WCA3-SW (Figures 4.47 and 4.49).
Although the Nymphaea-Utricularia cluster from the total dataset extended to the southern part
of Shark River Slough (Figure 4.12), N. odorata was rare or absent from our samples in ENP
(Figures 4.47 and 4.49). Waterlilies had the greatest frequency per transect in subareas where it
was also most common among transects (Figure 4.48).
Rhynchospora tracyi, Tracy's beakrush, was present in 19% of all transects (Table 4.6).
It was found in LOX, Shark River Slough and Taylor Slough (Figures 4.50 and 4.52). This
species was absent or rare in the intervening regions (Figures 4.50 and 4.52). R. tracyi had the
highest frequency per transect in LOX and Taylor Slough (Figure 4.51).
Cattails, Typha domingensis, were found in 13% of all transects (Table 4.6). Transects
with cattails occurred primarily in the northern part of the system, although this species was less
frequent per transect and less common in LOX (Figures 4.53 through 4.55). T. domingensis was
absent from WCA3-SW and occurred at only two sites in ENP, one in Shark River Slough and
one in Taylor Slough (Figures 4.53 and 4.55). Cattails had the highest frequencies per transect
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and were most common in the Rotenberger-Holeyland tract, WCA2, WCA3-N, and the northern
part of WCA3-SE (Figures 4.53 through 4.55).
Peltandra virginica, green arrow arum, was found in 11% of all transects (Table 4.6). It
was most common in LOX, where it occurred in 41% of the transects and achieved its highest
frequencies per transect (Figures 4.56 through 4.58). This species was absent from transects in
WCA2 and occurred in 13% or fewer of the transects in other parts of the system (Figures 4.57
and 4.58).
Hymenocallis latifolia , spiderlily, occurred in 10% of all transects (Table 4.6). This
species was absent from transects in LOX, WCA2, and the Rotenberger-Holeyland tract and was
present at low frequencies per transect in the rest of the system (Figures 4.59 through 4.61). In
the central and southern regions H. latifolia was absent from central Shark River Slough
(Figure 4.59).
4.2.6 Association of Clusters with Nutrients and Hydroperiod
Table 4.21 gives the means for nutrient, soil, and hydroperiod parameters at sites
characterized by the four larger clusters derived from the total dataset. Since some sites had
two transects that belonged to different clusters, only data from sites where both transects
belonged to a single cluster were used to calculate values for Table 4.21.
Sites supporting different species clusters had distinct suites of abiotic parameters. The
T. domingensis cluster occurred at sites that had the highest surface water nutrient values, lowest
AP values, and highest soil TP of any of the clusters (Table 4.21).
Sites where the Nymphaea-Utricularia cluster was found were distinguished by the
deepest soil, highest soil AFDW, and lowest soil bulk density (Table 4.21). This cluster also
occurred at sites with the longest hydroperiods and deepest water (Table 4.21). The sites
inhabited by this cluster had medium to high surface water nutrient values and soil TP
(Table 4.21).
The sawgrass and Eleocharis clusters tended to have intermediate to low surface water
nutrient values, although the Eleocharis sites had the highest surface water AP means
(Table 4.21). These two sites differed in their soil characteristics. The Eleocharis sites had
shallower soils with lower AFDW and lower soil TP (Table 4.21), suggesting that this cluster
was found on soils with greater marl content. Both annual average hydroperiod classes and water
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depth measured during the wet season sampling suggest that the sawgrass cluster occurs in
shallower, shorter hydroperiod sites than the Eleocharis cluster (Table 4.21). A similar
difference in water levels for Eleocharis wet prairies and sawgrass stands in LOX was reported
by Jordan, Jelks and Kitchens (1997). Several studies have found that sawgrass occurs in
shallower water than cattails (Urban et al., 1993; David 1996). Our data did not find these
differences for sawgrass vs. cattail clusters distributed across the system, but the cattail cluster
sample size was small in relation to the sawgrass cluster.
4.2.7 Relation of Species Presence to Soil TP and AFDW
Logistic regressions were used to relate species presence and abundance to soil TP and
soil AFDW (Figures 4.62 and 4.63). Soil AFDW is correlated with the marl vs. peat content of
the soils. Low AFDW is characteristic of marl soils, while high AFDW is found in peats.
Because of the relation between soil type and hydroperiod, soil AFDW is also an indirect
indicator of hydroperiod. The shape of the logistic regression curves and the peak values show
both the range and optimal levels of soil TP and AFDW for each species.
Sawgrass is abundant across a broad range of soil TP, while cattail is absent at low levels
but becomes increasingly abundant with increasing soil TP (CLJ and TYD, Figure 4.62).
R. tracyi occurs at the lowest soil TP levels, followed by E. cellulosa and U. purpurea. All three
of these species have narrow ranges, becoming rare above 500 //g/g TP (RHT, ELC and UTP,
Figure 4.62). N. odorata occurs over a broader range than the preceding two species and peaks at
a higher soil TP (NYO, Figure 4.62). S. lancifolia is present across a broad range of soil TP but
increases in abundance with increasing concentrations (SAL, Figure 4.62).
As with soil TP, sawgrass is abundant across a broad range of soil AFDW (CLJ,
Figure 4.63). Cattail has a similarly broad range but peaks at a somewhat higher soil AFDW
(TYD, Figure 4.63). Paralleling its occurrence in low TP sites, R. tracyi is found at sites with the
lowest soil AFDW, i.e., greatest marl content (RHT, Figure 4.62). Although E. cellulosa and
U. purpurea both occur at sites with a range of AFDWs, E. cellulosa has peak abundance at
lower AFDW, while U. purpurea peaks at higher AFDWs (ELC and UTP, Figure 4.63).
N. odorata is restricted to soils with AFDW > 60% (NYO, Figure 4.63). As with soil TP levels,
S. lancifolia is present across a broad range of soil AFDW, with peak abundance at intermediate
levels (SAL, Figure 4.63).
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4.3 Morphometric Indicators
4.3.1 Variation Among Morphological Parameters
Leaves of Cladium jamaiceme were longer and slightly wider in the wet season than in
the dry season (Table 4.22). Otherwise, there were no differences between seasons in the
morphological parameters measured for C.jamaicense. Similarly, leaves of Sagittaria lancifolia
were longer in the wet season than in the dry season, but there was no difference in lamina width
between seasons (Table 4.22).
Covariances among morphological measurements of C. jamaicense were all strongly
positive (Table 4.23). Covariances among S. lancifolia parameters were also positive, with the
exception of a negative covariance between petiole length and lamina width in Cycle 4 and 5 and
petiole length and lamina length in Cycle 5 (Table 4.23). The relationship between petiole length
and lamina length in Cycle 4 was positive but weak.
The relationships between leaf length and width for C. jamaicense and between lamina
length and width for S. lancifolia were the strongest for any of the measured parameters
(Table 4.23). These relationships are illustrated in Figure 4.64. While the correlation of leaf
length to width at different sizes in C. jamaicense could be described by a line, the relationship
of lamina length and width in S. lancifolia is more complex (Figure 4.64).
The first principal component (PCI) of the C.jamaicense morphometric data explained
77% and 79% of the variation observed in Cycles 4 and 5, respectively. The second principal
component (PC2) explained an additional 16% (Cycle 4) and 12% (Cycle 5) of the variation.
Thus the first 2 principal components of sawgrass explained 93% and 91% of the morphological
variation in Cycles 4 and 5, respectively.
The first principal component of the S. lancifolia morphometric data explained 54% and
55% of the variation observed in Cycles 4 and 5, respectively, while PC2 explained 35%
(Cycle 4) and 28% (Cycle 5). Together, these 2 principal components explained 89% (Cycle 4)
and 83% (Cycle 5) of the variation in the Sagittaria morphological data.
Since the first two principal components captured the bulk of the variation observed in
each data set, we focused our analyses on these two principal components. The distribution of
variation between the 2 principal components differed between these species, however, with PCI
larger in C. jamaicense than in S. lancifolia, and, conversely, PC2 larger in S. lancifolia.than in
sawgrass.
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All of the morphological measurements were positively associated with PCI of the
C.jamaicense morphometric data in both seasons (Table 4.24). Thus, we interpreted this
component primarily to explain variation in the size of plants. Number of leaves was positively
associated with PC2, whereas leaf length and leaf width were negatively associated with PC2 of
the C.jamaicense morphometric data (Table 4.24). The second principal component of sawgrass,
however, explained < 20% of the variation in the data and its interpretation was not obvious.
All of the S. lancifolia morphological measurements except petiole length were positively
associated with PCI of the morphometric data. Petiole length had a weak negative loading on
PCI of the Cycle 5 data (Table 4.24). As with C.jamaicense, we interpreted PCI of the
S. lancifolia data to explain variation in size among plants. S. lancifolia petiole length and leaf
base length were positively associated with PC2, whereas laminae width was negatively
associated with PC2. Thus, PC2 could be interpreted as explaining variation in shape among
leaves, contrasting leaves with proportionately long petioles and narrow laminae with leaves
with short petioles and broad laminae.
The most important sources of variation in scores for both the first and second principal
components from the C. jamaicense morphometric data were between sites, as indicated by the
difference between sites and plants in the magnitude of Type III Shark River Slough in the
analysis of variance (Table 4.25). There was little variation among plants within sites
(Table 4.25).
Comparison among Type III Shark River Slough for sites, plants, and leaves within
plants for Cycle 4 S. lancifolia principal components indicated that the majority of variation
occurred among sites, then among plants within sites (Table 4.26). A similar result was found for
Cycle 5 (Table 4.26).
4.3.2 Spatial Variation in Morphology
Morphology of both sawgrass and S. lancifolia varied across the ecosystem. Both species
showed spatial variation in the parameters associated with plant size, as seen in significant
differences among subareas in many of the morphological parameters (Tables 4.27 and 4.28;
Figure 4.27). S. lancifolia also showed marked spatial variation in lamina width (Table 4.28;
Figure 4.65). This spatial variation was present in both the wet and dry season (Figure 4.66).
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Some of the variation in lamina width was independent of plant size, as seen in the large
contribution of lamina width to PC2 (Table 4.24).
4.3.3 Analysis of Variation Among Soil Parameters
Soil bulk density was considerably lower during Cycle 5 than during Cycle 4 sampling
(Table 4.29) at sites where C.jamaicense and/or S. lancifolia were sampled. Otherwise, there
were no differences between sample periods in the soil parameters. Covariances among soil
parameters were similar between the two sampling periods, with the exception of alkaline
phosphatase, which changed signs between periods in its covariance with both soil total
phosphorus and bulk density (Table 4.30). Percent ash-free dry weight and percent mineral
content were perfectly negatively correlated, as expected. Covariances among soil parameters
were similar for both C.jamaicense and S. lancifolia data sets (Table 4.30).
The first two principal components of the soil data from the C.jamaicense sites explained
82% and 78% of the variation observed in Cycles 4 and 5, respectively (Table 4.31). The first
two principal components of the soil data from the S. lancifolia sites explained 83% and 80% of
the variation observed in Cycles 4 and 5, respectively (Table 4.31). Since the first two principal
components captured the bulk of the variation observed in the soil data, we focused our analyses
on these two principal components.
Eigenvectors of the first two principal components of the soil physicochemical data were
similar between C. jamaicense and S. lancifolia sites, probably reflecting the broad overlap in
collection sites (Table 4.31). Total phosphorus, alkaline phosphatase and ash-free dry weight
were positively associated with PCI in both sampling periods, while bulk density and mineral
content were negatively associated with PCI (Table 4.31). The second principal component was
positively associated with total phosphorus and bulk density in Cycle 4, but negatively
associated with total phosphorus and very weakly associated with bulk density in Cycle 5. The
second principal component was also strongly positively associated with alkaline phosphatase in
both sampling periods. The strongest loadings on the first principal components of the soil data
were from the physical measurements, ash-free dry weight, bulk density, and mineral content.
Thus, PCI was interpreted as explaining variation in soil physical characteristics, probably
distinguishing peat- vs. marl-based soils. Note, however, that during the Cycle 4 sampling, some
of the physical variation (bulk density) is reflected in the second principal component
4-17
-------
(Table 4.31). Total phosphorus and alkaline phosphatase are strongly associated with PC2 from
the soil data in both sampling periods, thus PC2 appears to reflect variation in phosphorus
availability among sites.
4.3.4 Correlation of Soil Data with Morphological Data
4.3.4.1 Sawgrass - Cladiumjamaicense
The first principal component of the soil data from the C. jamaicense sites was positively
correlated with PCI of the plant morphometric data in both sampling periods (Table 4.32). This
suggests that larger C. jamaicense plants occurred in soils with more peat, resulting in positive
relationships between characters such as leaf length and AFDW (Figure 4.67).
The correlations between PC2-soil, which reflected soil phosphorus status, and the
principal components of the morphometric data were less strong than correlations with PCI-soil
(Table 4.32). Similarly, univariate correlations between site averages for the morphological
characters, such as leaf length, and soil TP, were not significant (Figure 4.67, Table 4.33).
4.3.4.2 Lance Leaf - Sagittaria lancifolia
The first principal component of the soil data from the S. lancifolia sites was positively
correlated with PCI of the morphometric data during Cycle 4, but there was no significant
relationship during Cycle 5 (Table 4.32). Thus during Cycle 4, S. lancifolia plants had larger
leaves on soils with a higher peat component, but this pattern was not observed during Cycle 5.
This result could be an indirect effect of the correlation between deeper water, longer
hydroperiod and peat soils. Because sites with peat soils are more likely to have standing water
during the dry season, effects of water parameters on plant morphology are seen at these peat
sites in the dry season, but would be found at additional sites during the wet season. The first
principal component of the soil data was not significantly correlated with PC2 of the plant data
in either cycle, indicating that soil physical characteristics did not significantly affect leaf shape
(Table 4.32).
The correlation of PC2 of the soil data and both the first and second principal component
of the plant data changed signs between the two sampling periods (Table 4.32), as was observed
with the C. jamaicense data. The correlation between PC2-soil and PCI-plant was stronger in
Cycle 4 than in Cycle 5. This, again, is probably an indirect result of the strong effect of water
4-18
-------
depth on plant size. Univariate correlations of soil TP with morphological parameters reflecting
plant size, such as total leaf length, were not significant (Figure 4.68).
Soil PC2 and plant PC2 were strongly correlated in both Cycle 4 and Cycle 5. Plants with
proportionately shorter petioles and leaf bases and wider laminae tended to occur in sites where
soil phosphorus availability was higher (Table 4.32). These patterns were supported by pairwise
correlations between plant morphological and soil physicochemical measures (Table 4.33,
Figure 4.68).
4.3.5 Correlation of Plant Tissue Nutrients to Soil and Morphological Parameters
Mean (S.E.) % C, % N, % P, and N:P molar ratio in S. lancifolia leaves collected during
Cycle 4 were 41.0 (0.08), 2.77 (0.03), 0.16 (0.01), and 41.1 (0.37), respectively. Plants with
higher % N and % P tended to occur on soils with higher phosphorus availability and higher bulk
density, as seen in the positive correlations between % tissue N and P to PC2-soil (Table 4.34).
This is illustrated in the significant positive correlation between soil TP and plant % P
(Figure 4.69; P < 0.0001). Plant tissue nutrients were weakly correlated or uncorrelated with soil
physical properties (ash-free dry weight and mineral content), as seen in the non-significance or
low negative correlations between % tissue C, N, and P and PCl-soil (Table 4.34).
Percent C, N and P of Sagittaria leaves were strongly negatively correlated to PC2-plant,
indicating that plants with short petioles and wide laminae had higher % C, N, and P in their
leaves (Table 4.23, Figures 4.68 and 4.69). The correlations between plant PCI and tissue
nutrients show that larger plants tended to have lower values of % C and higher values of % P in
their leaves, but these relationships were weak (Table 4.23).
Mean (S.E.) % C, % N, % P, and N:P molar ratio in the subsample of C. jamaicense
leaves collected during Cycle 5 and bulked by site (n = 30) were 46.1 (0.11), 0.64 (0.01), 0.027
(0.001), and 55.6 (2.2), respectively. Sawgrass % N and % P are much lower than S. lancifolia
leaf nutrients (see above) or plants in general (Bedford, Walbridge, and Aldous 1999,
Koerselman and Meuleman 1996, Fourqurean, Zieman and Powell 1992). The values reported
here are similar to those previously reported for C. jamaicense (Miao et al. 1998, Newman et al.
1996, Davis 1991, Craft et al. 1995, Steward and Ornes 1975, 1983). Sites with higher mean
plant % N and % P occurred in soils with higher phosphorus availability (% N vs. PC2 = -0.46,
4-19
-------
Table 4.35, Figure 4.72). Otherwise, correlations between C.jamaicense plant tissue nutrients
and soil principal component scores were marginally significant or not significant (Table 4.35).
Relationships between C.jamaicense plant tissue nutrients and plant morphometric
principal component scores were weak (Table 4.35), but consistent with patterns observed in
comparisons between morphometric principal component scores and soil principal component
scores (see above). Larger plants had higher % P in their leaves (Table 4.35).
4.3.6 Correlations of Hydroperiod Parameters to Plant Morphology and Soil
Physicochemistry
All measures of hydroperiod varied among subarea divisions (Table 4.36). The ranking
among subareas was nearly identical for the different hydroperiod measures. This similarity
among measures was also reflected in strong, positive correlations among the variables
(Table 4.37), indicating that where water is deeper, hydroperiod is longer. Since the measures
were strongly correlated, we chose mean annual water depth, the hydroperiod variable most
strongly correlated with the others (Table 4.37), to examine the relationships between
hydroperiod and plant morphology, as well as soil physicochemisty.
Soil total phosphorus was weakly positively correlated with water depth at Cycle 4 sites
but had no significant relationship in Cycle 5, while soil alkaline phosphatase had a less
consistent relationship to water depth (Table 4.38). Soil physical parameters were more strongly
correlated with water depth, indicating that soils with more peat occurred where water was
deeper and hydroperiod longer (Table 4.38).
Hydroperiod was positively correlated with all C. jamaicense morphological parameters
(Table 4.38). Larger sawgrass plants were found in deeper water and longer hydroperiods
(Table 4.38, Figure 4.73).
In S. lancifolia, leaf base length and petiole length were positively correlated with
hydroperiod (Table 4.38, Figure 4.74). Lamina length and width showed no or a small negative
correlation with water depth (Table 4.38, Figure 4.74).
4.3.7 Summary of Morphometric Indicators
4-20
-------
Morphology of both C.jamaicense and S. lancifolia varied across the Everglades
ecosystem. This morphological variation was correlated with soil physicochemical parameters,
but the two species responded to different aspects of the environment.
The morphological characters measured in sawgrass were highly interrelated and largely
reflected variation in plant size. Variation in sawgrass size has been previously noted and related
to soil depth (Davis 1943, Gunderson 1994). We do not know whether this variation represents
genetic variation or phenotypic plasticity in sawgrass morphology. In a parallel study of
sawgrass allozyme variation, we found no evidence for genetic differentiation in sawgrass that
was related to environmental variation (Ivey and Richards, submitted), and our morphological
data show continuous variation in size-related characters across the ecosystem.
Cladium jamaicense morphology was relatively insensitive to soil phosphorus levels,
although sawgrass leaf % P and % N increased with soil TP. These results support conclusions
from the plant census study, where sawgrass had a high probability of occurrence across a broad
range of soil phosphorus levels (Figure 4.63). Although high sawgrass N:P ratios suggest that
this species is severely P-limited, both the sawgrass morphological and plant census data show a
lack of plant response to soil phosphorus. This insensitivity may result from the extremely low %
P and N needed by sawgrass to make plant tissues. This suggests that tissue N:P ratios in plants
adapted to oligotrophic environments may differ substantially from those in other plants.
Departure from typical plant Redfield ratios may indicate differences in physiology and not
necessarily nutrient limitation.
Sawgrass size correlated strongly to soil type and hydroperiod parameters. Thus,
sawgrass size is an indicator of marl vs. peat soil, deep vs. shallow water, and long vs. short
hydroperiod. Smaller plants occur in shallower, shorter hydroperiod, marl sites, while larger
plants are found in deeper, longer hydroperiod, peat sites. As shown by the Plant Census results,
sawgrass is abundant across the entire range of soil AFDW, but it has a broad peak of abundance
at intermediate levels (Figure 4.62).
There was a positive relationship between C. jamaicense plant size and soil phosphorus,
albeit a weak one. For example, one of the populations of C. jamaicense analyzed for tissue
nutrients occurred near a canal, where soil phosphorus was high, and that population had the
largest averages for morphological characters among the 30 populations analyzed for tissue
nutrients. That population also had the highest % P in leaf tissue. These observations suggest that
4-21
-------
C. jamaicense plants that absorb more soil phosphorus can respond by growing larger. The weak
size correlation overall may indicate limitations on uptake of phosphorus by C. jamaicense (e.g.,
Newman et al. 1996, Davis 1991).
Sagittaria lancifolia responded differently than sawgrass to soil phosphorus levels, soil
physical parameters and hydroperiod. Variation in plant size explained approximately half of the
total variation in S. lancifolia morphology, while another third of S. lancifolia's morphological
variation was summarized by PC2 in our analysis. This latter portion of the total variation was
thus independent of size-related factors, was strongly correlated with variation in lamina width,
and was correlated to soil phosphorus levels. Thus, S. lancifolia morphological characters
provide not just size-related variation, but more specific responses to environmental factors.
These different aspects of S. lancifolia's morphology also responded to different
environmental factors. Leaf size, especially leaf base and petiole length, increased in peat soils
with longer hydroperiod, while leaf shape, especially lamina width, increased in soil with higher
phosphorus levels and was unaffected by hydrological parameters. Water depth has been shown
to affect Sagittaria leaf morphology in other ecosystems (Wooten 1986, Howard and
Mendelssohn 1995).
We found additional support for the role of phosphorus in influencing leaf morphological
changes in S. lancifolia from the data on leaf tissue nutrient content. S. lancifolia leaves with
high tissue nutrients also had broader laminae and shorter petioles, and these plants grew in
high-phosphorus soils. Common garden and controlled nutrient experiments (Ivey and Richards,
unpublished data) also support the importance of phosphorus to lamina morphology of
S. lancifolia. leaves. Together, our studies suggest that S. lancifolia leaf shape, especially as
reflected in lamina width, provides an indication of soil nutrient status, and, specifically in the
Everglades ecosystem, of P availability.
In both sawgrass and S. lancifolia we observed increasing leaf tissue nitrogen with
increasing soil phosphorus availability. This was unexpected, since the soil data set included no
specific measure of nitrogen availability and the availability of N and P can vary independently
in soils. This increase in tissue N may indicate that nitrogen is available in Everglades soils, but
its uptake by these plants is inhibited when phosphorus availability is low (Bloom et al. 1985).
4.4 Summary and Conclusions
4-22
-------
This study presents a quantitative evaluation of marsh community types and their
distributions across the Everglades ecosystem. As such, it provides a background against which
to evaluate community change during and after restoration.
There are 4 major communities that are found across the entire ecosystem: sawgrass,
water\i\y-Utriculariapurpurea, Eleocharis cellulosa, and cattail. These communities differ in
their hydroperiod/water depth, soil type, and nutrient levels. The dominant species within each
community have different tolerances for soil TP.
Sawgrass is the only community that occurs across the entire system; the other
communities are more localized in their distributions. The sawgrass community type is
dominated by Cladiumjamaicense, with the next most common species present less than one
quarter of the time. Thus, although specialized for survival in an oligotrophic environment,
sawgrass is a generalist in this environment, occurring across a broad range of hydroperiods, soil
types, and soil nutrient levels.
Although sawgrass is present throughout the Everglades, sawgrass morphology and
density vary across the environment, correlated most strongly with changes in soil type and
water level/hydroperiod. These variations in size and density have been used to describe
different sawgrass communities (Davis 1943; Loveless 1959; Olmstead and Loope 1984;
Gundersen 1994), but the correlations among the morphological parameters and their
associations with environmental parameters have been confused. Controls on variations in
density and morphology, as well as patchiness, represent areas of future research.
Although different parts of the ecosystem and different water management districts share
many plant species, these areas do not have equal representation of the major plant communities
identified here (Figure 4.75). The frequency and abundance of these communities differ across
the system, indicating that ecosystem processes, such as nutrient or mercury cycling, vary among
the regions.
Some communities that have been noted to be prominent historically did not appear as
distinct communities in our analysis. For example, the Rhynchospora tracyi (beakrush)
community described by Loveless (1959), Goodrick (1974), and Gunderson (1994), as well as
others, did not form a distinct community in our clustering. In their study of vegetation in ENP
Olmstead and Loope (1984) also did not recognize a distinct beakrush community, noting that
R. tracyi is a common associate of their spikerush community. These differences could represent
4-23
-------
a historical change in community composition in the ecosystem or could be a result of the
quantitative rather than subjective nature of our analysis.
A rare but taxonomically diverse wetland community was identified at site M707 in ENP.
Olmstead and Loope (1984) describe a species-rich prairie community that shares at least some
species with this site. In order to understand the effects that ecosystem restoration might have on
this community, additional information is needed on its distribution and the factors that control
its diversity.
Sagittaria lancifolia is found across a broad range of soil TP and organic content in the
Everglades. S. lancifolia leaf morphology provides an indication of soil nutrient level and water
depth. Plants with broader laminae and shorter petioles are found in sites with higher nutrients,
while plants with longer petioles are found in deeper sites.
4-24
-------
Table 4.1. Percent cover of major vegetation classes by region, Cycles 4 and 5 combined.
Vegetation
Class
Cattail
Sawgrass
Wet Prairie
Other
Rotenberger/
Holey Land EAA
Percent Cover
11.1
24.7
19.4
44.8
LOX
Percent
Cover
8.7
41.7
28.8
20.8
WCA2
Percent
Cover
24.9
43.3
15.6
16.2
WCA3
Percent
Cover
7.8
37.0
28.0
27.2
ENP
Percent
Cover
1.0
55.1
10.9
33.0
Table 4.2. Percent cover of major vegetation classes by latitudinal zone, Cycles 4 and 5
combined.
Vegetation
Class
Cattail
Sawgrass
Wet Prairie
Other
26.68°
to 26.36°
11.5
39.9
22.6
26.0
26.36°
to 26.16°
16.8
40.0
14.9
28.3
26.16°
to 25.95°
7.9
35.7
32.2
24.2
25.95°
to 25.76°
5.6
34.5
36.9
23.0
25.76°
to 25.56°
1.5
68.0
7.1
23.4
25.56°
to 25.24°
0.4
43.5
14.4
41.7
Table 4.3. Percent cover of vegetation in monitoring sites and corresponding areas in
existing databases.
Vegetation
Classes
Sawgrass
Wet Prairie
Muhly Grass
Cattail
Mixed Graminoid
Non-gram. Emergent
Bay head
Pine/Hardwood
Other Vegetation
Water
% Cover
ENP-N
Existing
Database
85.2
0.7
1.8
1.1
2.6
0.1
1.7
0
6.0
0.8
% Cover
ENP-N
Monitoring
Sites
92.3
0.2
2.1
0.7
0.1
0
1.6
0
2.3
0.7
%
Diff.
-7.1
0.5
-0.3
0.4
2.5
0.1
0.1
0
3.7
0.1
% Cover
WCA3-N
Existing
Database
68.7
10.2
0
11.3
0
2.9
0
0
6.5
0.4
% Cover
WCA3-N
Monitorin
g Sites
69.6
11.5
0
10.9
0
2.7
0
0
5.2
0.1
%
Diff.
-0.9
1.3
0
0.4
0
0.2
0
0
1.3
0.3
-------
Table 4.4. Species identified during phase 2 sampling.
No.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
Scientific name*
Acrostichum daneaefolium
Aeschynomene partensis
Agalinis linifolia
Alternanthera philoxeroid.es
Amaranthus australis
Ammannia latifolia
Andropogon species
Anemia adiantifolia
Angadenia berteri
Annona glabra
Aristida purpurascens
Aster dumosus
Azolla caroliniana
Baccharis glomeruliflora
Bacopa caroliniana
Blechnum serrulatum
Boltonia diffusa
Caperonia castaneifolia
Cassytha flliformis
Centella asiatica
Cephalanthus occidentalis
Char a spp.
Chiococca alba (= C. pinetorum)
Cladium jamaicense
Coelorachis (= Manisuris) rugosa
Conoclinium coelestinum
Crinum americanum
Cynanchum sp.
Cyperus haspan
Cyperus sp.
Dichanthelium (= Panicum) portoricense
Diodia virginiana
Drosera species
Echites umbellata
Eleocharis cellulosa
Eleocharis elongata
Eleocharis interstincta
Elytraria caroliniensis
Eragrostis elliottii
Erigeron species
Eriocaulon compressum
Code
ACD
AEP
AGL
ALP
AMA
AML
ANsp
ANA
ANB
ANG
ARP
ASD
AZC
BAG
BAG
BLS
BOD
CAC
CAP
CEA
CEO
CHsp
CHP
CLJ
COR
COC
CRA
CYNsp
CYH
CYPsp
DIP
DIV
DRsp
ECU
ELC
ELE
ELI
EYC
ERE
ERsp
ERC
or EXT"
N
EN
N
EX
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
EN/N
N
N
N
Family
Pteridaceae
Fabaceae
Scrophulariaceae
Amaranthaceae
Amaranthaceae
Lythraceae
Poaceae
Schizaeaceae
Apocynaceae
Annonaceae
Poaceae
Asteraceae
Azollaceae
Asteraceae
Scrophulariaceae
Blechnaceae
Asteraceae
Euphorbiaceae
Lauraceae
Apiaceae
Rubiaceae
Characeae
Rubiaceae
Cyperaceae
Cyperaceae
Asteraceae
Amaryllidaceae
Asclepiadaceae
Cyperaceae
Cyperaceae
Poaceae
Rubiaceae
Droseraceae
Apocynaceae
Cyperaceae
Cyperaceae
Cyperaceae
Acanthaceae
Poaceae
Asteraceae
Eriocaulaceae
-------
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
Eupatorium capillifolium
Eupatorium mikanioides
Evolvulus sericeus
Flaveria linearis
Fuirena breviseta
Fuirena scirpoidea
Galium hispidulum
Helenium pinnatifldum
Hydrocotyle umbellata
Hymenocallis latifolia
Hyper icum fasciculat um
Hyptis alata
Ilex cassine
Ipomoea sagittata
Iva microcephala
Jacquemontia curtisii
Justicia angusta
Kosteletzkya virginica
Leersia hexandra
Lemna valdiviana
Linum species
Lobelia glandulosa
Ludwigia alata
Ludwigia curtissii
Ludwigia microcarpa
Ludwigia octovalvis
Ludwigia peruviana
Ludwigia repens
Lygodium japonicum
Lythrum alatum
Melaleuca quinquinervia
Melanthera nivea
Mikania scandens
Mitreola petiolata
Muhlenbergia capillaris
Myrica cerifera
Nymphaea odorata
Nymphoides aquatica
Osmunda regalis
Oxypolis flliformis
Panicum hemitomon
Panicum repens
Panicum rigidulum
Panicum tenerum
EUC
BUM
EVS
FLL
FUB
FUS
GAH
HEP
HDU
HYL
HYF
HYA
ILC
IPS
IVM
JAC
JUA
KOV
LEH
LEV
Lisp
LOG
LUA
LUC
LUM
LUO
LUP
LUR
LYJ
LYA
MEQ
MEN
MIS
MIP
MUC
MYC
NYO
NMA
OSR
OXF
PAH
PAR
PARI
PAT
N
EN
N
N
N
N
N
N
N
N
N
N
N
N
N
EN
EN
N
N
N
N
N
N
N
N
N
EX
N
EX
N
EX
N
N
N
N
N
N
N
N
N
N
EX
N
N
Asteraceae
Asteraceae
Convolvulaceae
Asteraceae
Cyperaceae
Cyperaceae
Rubiaceae
Asteraceae
Apiaceae
Amaryllidaceae
Clusiaceae
Lamiaceae
Aquifoliaceae
Convolvulaceae
Asteraceae
Convolvulaceae
Acanthaceae
Malvaceae
Poaceae
Lemnaceae
Linaceae
Campanulaceae
Onagraceae
Onagraceae
Onagraceae
Onagraceae
Onagraceae
Onagraceae
Schizaeaceae
Lythraceae
Myrtaceae
Asteraceae
Asteraceae
Loganiaceae
Poaceae
Myricaceae
Nymphaeaceae
Menyanthaceae
Osmundaceae
Apiaceae
Poaceae
Poaceae
Poaceae
Poaceae
-------
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
Panicum virgatum
Paspalidium geminatum
Paspalum monostachyum
Paspalum monostachyum
Peltandra virginica
Pentodon pentandrus
Phyla nodiflora
Pinguicula species
Pinus elliottii
Piriqueta caroliniana
Pityopsis (= Heterotheca) graminifolia
Pluchea rosea
Polygonum hirsutum
Polygonum hydropiperoides
Polygonum punctatum
Polygonum setaceum
Pontederia cordata
Potamogeton illinoensis
Proserpinaca palustris
Rhynchospora (= Dichromena) color ata
Rhynchospora decurrens
Rhynchospora diver gens
Rhynchospora fllifolia
Rhynchospora inundata
Rhynchospora microcarpa
Rhynchospora tracyi
Rumex species (verticillatus?)
Sabatia grandiflora
Saccharum (= Erianthus) giganteum
Sagittaria graminea
Sagittaria lancifolia
Salvinia minima (= S. rotundifolia)
Samolus ebracteatus
Sarcostemma clausum
Saururus cernuus
Schoenus nigricans
Scleria reticularis
Setaria parviflora (= S. geniculata)
Solidago stricta
Spermacoce terminalis
Taxodium distichum
Tetrazygia bicolor
Teucrium canadense
Typha domingensis
PAY
PDG
PAM
PSM
PEV
PEP
PHN
PIN
PIE
PIC
PIG
PLR
POH
POHY
POP
POS
PNC
POI
PRP
DIG
RHD
RHDI
RHF
RHI
RHM
RHT
RUsp
SBG
SAGI
SAG
SAL
SLM
SAE
SAC
SACE
SCN
SCR
SEP
SOS
SPT
TAD
TEB
TEC
TYD
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
EN
N
N
N
N
Poaceae
Poaceae
Poaceae
Poaceae
Araceae
Rubiaceae
Verbenaceae
Lentibulariaceae
Pinaceae
Turneraceae
Asteraceae
Asteraceae
Polygonaceae
Polygonaceae
Polygonaceae
Polygonaceae
Pontederiaceae
P otamogetonaceae
Haloragaceae
Cyperaceae
Cyperaceae
Cyperaceae
Cyperaceae
Cyperaceae
Cyperaceae
Cyperaceae
Polygonaceae
Gentianaceae
Poaceae
Alismataceae
Alismataceae
Salviniaceae
Primulaceae
Asclepiadaceae
Saururaceae
Cyperaceae
Cyperaceae
Poaceae
Asteraceae
Rubiaceae
Taxodiaceae
Melastomataceae
Lamiaceae
Typhaceae
-------
130
131
132
133
134
135
136
Utricularia cornuta
Utricularia foliosa
Utricularia gibba
Utricularia purpurea
Vernonia blodgettii
Woodwardia virginica
Xyris smalliana
UTC
UTF
UTG
UTP
VEB
WOV
XYS
N
N
N
N
N
N
N
Lentibulariaceae
Lentibulariaceae
Lentibulariaceae
Lentibulariaceae
Asteraceae
Blechnaceae
Xyridaceae
1 Authority for plant names and status =Wunderlin, R.P. 1998. Guide to
the Vascular Plants of Florida. University Press of Florida, Gainesville.
EN = endemic; N = native; EX = exotic
-------
Table 4.5. Frequency of species present among transects.
No. Transects
1
2
3
4
5
6-10
11-42
43 - 309
No. Species Found
54
24
19
7
6
14
23
15
Cumulative No.
Species Found
54
77
96
103
109
123
146
161
Cumulative %
Found
34
48
60
65
68
77
91
100
Table 4.6. Frequency among 418 transects of the 15 most common species.
Species
Cladium jamaiceme Crantz
Utricularia purpurea Walter
Eleocharis cellulosa Torr.
Panicum hemitomon Schult.
Sagittaria lancifolia L.
Bacopa caroliniana (Walter) B.L. Rob.
Nymphaea odorata Sol.
Utricularia foliosa L.
Utricularia gibba L.
Eleocharis elongata Chapm.
Rhynchospora tracyi Britton
Paspalidium geminatum (Forssk.) Stapf
Typha domingemis Pers.
Peltandra virginica (L.) Schott & Endl.
Hymenocallis latifolia (Mill.) M. Roem.
Presence in Transects:
No. of Transects
309
182
151
132
114
99
98
98
95
81
78
73
55
48
43
%
74%
44%
36%
32%
27%
24%
23%
23%
23%
19%
19%
17%
13%
11%
10%
-------
Table 4.7. Distribution of species among Systematic Groups.
Monocotyledon
Dicotyledon
Gymnosperm
Fern
Macroalgae
No. Spp.
45
80
2
8
1
%
33%
59%
1%
6%
1%
Table 4.8. Summary data on the number of species per transect. Data include known and
unknown species (NSpring = 418 = 178; NFall = 240).
No. Species/Transect:
Maximum
Minimum
Median
Mode
Total
30
0
5
5
Spring 1999 (Cycle 4)
30
0
4
5
Fall 1999 (Cycle 5)
24
1
5
5
Table 4.9. Distribution among sites and transects of unidentified species from plant census.
No. of species
No. of transects
No. of sites
Median Freq./site
Range of Freq./site
Total
25
18
15
1
1-4
Spring 1999 (Cycle 4)
15
7
7
2
1 -4
Fall 1999 (Cycle 5)
10
11
8
1
1-2
-------
Table 4.10. Species composition and frequency within each cluster. Names associated with species codes given in Table 4.4.
Cladium
Cluster
No. Transects 229
No. Species 82
Species
CLJ
UTP
SAL
PAH
BAG
RHT
UTG
ELC
PLR
PEV
UTF
ELE
CEO
HYL
PNC
TYD
CRA
MIS
JUA
PDG
CAP
NYO
PAT
RHF
IPS
LUC
LUR
POHY
XYS
ERC
PHN
RHM
MUC
MYC
OSR
PRP
BLS
CEA
EUC
HYA
LOG
PAV
SAC
SOS
AZC
CAC
COR
ERsp
FLL
AEP
AGL
AML
ANG
ARP
ASD
CHsp
CYH
DIP
DRsp
ERE
EUM
EYC
HYF
ILC
LEH
LEV
LUO
LUP
LYJ
NMA
PAR
POS
PSM
RHD
RHI
SAGI
SBG
SCR
SEP
SPT
TEC
WOV
Typha
Cluster
18
29
% Species
100 TYD
26 SAL
25 MIS
19 CLJ
17 SAC
17 POP
16 AZC
15 KOV
15 PNC
14 ALP
14 Lisp
13 LUR
10 PAH
10 RHF
10 RUsp
1 0 SACE
9 AMA
9 DIC
8 ERC
8 HDU
7 LEH
7 LYA
7 NYO
7 PAR I
6 PEV
6 SAGI
6 SOS
6 TEC
6 XYS
5
5
5
4
4
4
4
3
3
3
3
3
3
3
3
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Nymphaea-
Utricularia
Cluster
69
36
% Species
100 NYO
44 UTP
39 ELE
28 PAH
28 UTF
22 UTG
17 ELC
17 BAC
17 NMA
11 PDG
11 CLJ
11 SAL
11 RHT
11 PEV
11 HYL
11 PSM
6 RHI
6 TYD
6 CHsp
6 CRA
6 ERC
6 JUA
6 OXF
6 ELI
6 PNC
6 RHF
6 RHM
6 XYS
6 BLS
CEO
FUS
HYF
LUC
SAG
UTC
WOV
Eleocharis
Cluster
93
41
% Species
87 ELC
78 UTP
57 CLJ
57 PAH
55 BAC
52 PDG
33 SAL
29 UTF
28 UTG
25 RHT
22 NYO
22 CHsp
20 HYL
10 ELE
9 CRA
9 JUA
9 NMA
9 ERC
6 PEV
6 PNC
4 TYD
4 LUC
4 PAT
3 PAV
3 POI
3 RHM
3 PSM
3 XYS
1 AEP
1 AGL
1 LEH
1 PAM
1 TAD
1 CAF
1 EUM
1 FUS
IPS
OXF
PLR
POH
SEP
Typha-
Sagittaria
Cluster
2
12
% Species
100 SAL
72 TYD
60 BAC
46 CRA
39 HYL
38 JUA
31 PAH
28 PDG
25 PNC
24 POHY
19 POI
17 UTF
15
13
12
9
8
6
6
5
5
4
4
4
4
4
3
3
2
2
2
2
2
1
1
1
1
1
1
1
1
Rocky
Clades
Cluster
1
23
% Species
100CHP
100 MUC
50 CLJ
50 MEN
50 RHF
50ANB
50GAH
50 SPT
50 PIC
50 ANA
50 ANsp
50 DIP
TEC
EVS
Lisp
PAH
SAE
CAF
COC
PIG
PLR
SOS
TEB
Rhynchospora
Cluster
3
15
% Species
100 RHT
100 SAL
100 PIN
100 PAH
100 NYO
100 CLJ
100 RHM
100 RHF
100 PNC
100 PDG
100 OXF
100 HYA
100 FUS
100 ELE
1 00 BAC
100
100
100
100
100
100
100
100
Wet
Prairie
Grass
Cluster
2
28
% Species
100 ANG
67 ASD
67 BAC
67 CAC
67 CAF
67 CEA
33 COR
33 DIC
33 ERE
33 FUB
33 HYA
33 IPS
33 LUM
33 MUC
33 PAT
RHF
RHM
UTP
BOD
CLJ
CRA
JUA
LEH
MIP
PAV
PEV
PLR
SOS
%
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
50
50
50
50
50
50
50
50
50
50
NOTE: % = Percent of cluster transects where species occurred.
-------
Sheetl
Table 4.1 1 . Classification of sites in complete data set by cluster and
subarea within cluster.
Cluster Classes1: 1 = NYO cluster; 2 = ELC+ cluster; 3 = CLJ cluster; 4 = TYD cluster;
5 = site 604; 6 = RHY 3 transects; 7 = 707 transects;
8 = SAL + TYD 3 transects
Subarea Classes: 0 = Rotenberger-Holeylan; 1 = WCA1A; 2 = WCA2A; 3 = WCA3A north
1
of Alligator Alley; 4 = WCA3A south of Alligator Alley, western region;
5 = WCA3A south of Alligator Alley, eastern region and WCA3B;
6 = Everglades National Park, Shark River Slough drainage; 7 = Everglades
National Park, Taylor Slough drainage and southern boundary.
Site M605 in Subarea 6 had no living plants and was excluded.
Cluster 1, Nymphaea odorata-Utricularia purpurea cluster
Station
M501
M502
M503
M504
M506
M508
M509
M511
M623
M623
M624
M625
M625
M626
M627
M627
M628
M630
M631
M635
M636
M636
M521
M530
M644
M649
M658
M535
M552
M565
M567
Station
No.
501
502
503
504
506
508
509
511
623
623
624
625
625
626
627
627
628
630
631
635
636
636
521
530
644
649
658
535
552
565
567
Cluster
Class
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Subarea
Class
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
3
4
4
4
Page 1
-------
Sheetl
M569
M570
M571
M573
M575
M676
M678
M678
M683
M685
M688
M690
M690
M691
M692
M694
M698
M548
M553
M555
M561
M568
M671
M674
M674
M675
M675
M677
M677
M686
M686
M581
M592
M594
M596
M599
M602
M705
569
570
571
573
575
676
678
678
683
685
688
690
690
691
692
694
698
548
553
555
561
568
671
674
674
675
675
677
677
686
686
581
592
594
596
599
602
705
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Cluster 2, Eleocharis cellulosa cluster
Station
M661
M662
M665
M534
M534
M542
M544
Station
No.
661
662
665
534
534
542
544
Cluster
Class
2
2
2
2
2
2
2
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
6
6
6
6
6
6
6
Subarea
Class
2
2
2
3
3
4
4
Page 2
-------
Sheetl
M549
M550
M551
M552
M554
M557
M558
M559
M563
M563
M564
M574
M673
M673
M676
M679
M682
M693
M699
M700
M543
M547
M556
M670
M670
M684
M689
M695
M697
M697
M701
M576
M577
M577
M578
M578
M585
M587
M600
M600
M601
M601
M606
M606
M607
M607
M702
M702
M703
M703
549
550
551
552
554
557
558
559
563
563
564
574
673
673
676
679
682
693
699
700
543
547
556
670
670
684
689
695
697
697
701
576
577
577
578
578
585
587
600
600
601
601
606
606
607
607
702
702
703
703
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
5
5
5
5
5
5
5
5
5
5
5
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
PageS
-------
Sheetl
M709
M709
M710
M710
M711
M711
M712
M715
M715
M716
M717
M717
M718
M718
M719
M719
M720
M720
M722
M722
M723
M724
M726
M728
M728
M731
M731
M732
M732
M614
M617
M618
M620
M621
M621
M744
709
709
710
710
711
711
712
715
715
716
717
717
718
718
719
719
720
720
722
722
723
724
726
728
728
731
731
732
732
614
617
618
620
621
621
744
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
Clusters, Cladium jamaicense cluster
Station
M510
M512
M514
M515
M516
M632
M633
M633
M639
M641
Station
No.
510
512
514
515
516
632
633
633
639
641
Cluster
Class
3
3
3
3
3
3
3
3
3
3
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
7
7
7
7
7
7
7
Subarea
Class
0
0
0
0
0
0
0
0
0
0
Page 4
-------
Sheetl
M641
M643
M643
M496
M498
M499
M500
M502
M504
M511
M622
M622
M624
M626
M628
M630
M631
M635
M640
M640
M507
M513
M517
M520
M521
M524
M528
M530
M533
M538
M539
M634
M634
M638
M638
M644
M647
M647
M648
M648
M649
M650
M650
M658
M661
M662
M665
M522
M523
M525
641
643
643
496
498
499
500
502
504
511
622
622
624
626
628
630
631
635
640
640
507
513
517
520
521
524
528
530
533
538
539
634
634
638
638
644
647
647
648
648
649
650
650
658
661
662
665
522
523
525
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
Page 5
-------
Sheetl
M526
M529
M531
M535
M536
M537
M540
M646
M646
M651
M651
M652
M652
M654
M654
M656
M656
M657
M657
M659
M660
M660
M663
M663
M664
M664
M666
M666
M542
M546
M550
M551
M557
M558
M559
M564
M565
M567
M569
M570
M573
M574
M575
M667
M667
M668
M668
M672
M672
M679
526
529
531
535
536
537
540
646
646
651
651
652
652
654
654
656
656
657
657
659
660
660
663
663
664
664
666
666
542
546
550
551
557
558
559
564
565
567
569
570
573
574
575
667
667
668
668
672
672
679
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
Page 6
-------
Sheetl
M680
M680
M682
M683
M685
M688
M691
M692
M693
M694
M698
M699
M700
M541
M545
M547
M548
M560
M562
M566
M568
M572
M572
M669
M669
M671
M681
M681
M684
M687
M687
M689
M695
M696
M696
M701
M580
M581
M582
M583
M584
M585
M586
M589
M590
M591
M591
M592
M594
M595
680
680
682
683
685
688
691
692
693
694
698
699
700
541
545
547
548
560
562
566
568
572
572
669
669
671
681
681
684
687
687
689
695
696
696
701
580
581
582
583
584
585
586
589
590
591
591
592
594
595
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
6
6
6
6
6
6
6
6
6
6
6
6
6
6
Page 7
-------
Sheetl
M595
M597
M599
M602
M704
M704
M705
M706
M706
M708
M708
M712
M714
M714
M716
M723
M724
M725
M725
M726
M727
M727
M730
M730
M734
M734
M598
M598
M603
M608
M608
M610
M610
M612
M612
M613
M614
M615
M615
M616
M616
M617
M618
M619
M619
M620
M729
M729
M733
M733
595
597
599
602
704
704
705
706
706
708
708
712
714
714
716
723
724
725
725
726
727
727
730
730
734
734
598
598
603
608
608
610
610
612
612
613
614
615
615
616
616
617
618
619
619
620
729
729
733
733
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
Page8
-------
Sheetl
M735
M735
M738
M738
M740
M740
M741
M741
M742
M742
M743
M743
M744
M745
M745
M746
M746
M747
M747
735
735
738
738
740
740
741
741
742
742
743
743
744
745
745
746
746
747
747
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
Cluster 4, Typha domingensis cluster
Station
M632
M637
M637
M639
M519
M642
M642
M645
M645
M518
M523
M527
M532
M653
M653
M655
M655
M561
Station
No.
632
637
637
639
519
642
642
645
645
518
523
527
532
653
653
655
655
561
Clusters, Rocky glades cluster
Station
M604
Station
No.
604
Cluster
Class
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
Cluster
Class
5
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
Subarea
Class
0
0
0
0
2
2
2
2
2
3
3
3
3
3
3
3
3
5
Subarea
Class
7
Page 9
-------
Sheetl
Cluster 6, Rhynchospora tracyi cluster
Station
M496
M497
M587
Station
No.
496
497
587
Cluster
Class
6
6
6
Cluster 7, wet prairie grass cluster
Station
M707
M707
Station
No.
707
707
Cluster
Class
7
7
Subarea
Class
1
1
6
Subarea
Class
6
6
Cluster 8, Typha domingensis + Sagittaria lancifolia cluster
Station
M538
M659
Station
No.
538
659
Cluster
Class
8
8
Subarea
Class
2
3
Page 10
-------
Table 4.12. Five most common species in each of the 4 large clusters in the total dataset.
Cluster
No.
Transects
Species
% Transects
/Cluster
Sawgrass
229
Cladium jamaiceme
Utricularia pur pur ea
Sagittaria lancifolia
Panicum hemitomon
Bacopa caroliniana
100
26
25
19
17
Cattail
18
Typha domingensis
Sagittaria lancifolia
Mikania scandem
Cladium jamaiceme
Sarcostemma clausum
100
44
39
28
28
Water lily-bladderwort
69
Nymphaea odorata
Utricularia pur pur ea
Eleocharis elongata
Panicum hemitomon
Utricularia foliosa
87
78
57
57
55
Spikerush
93
Eleocharis cellulosa
Utricularia pur pur ea
Cladium jamaicense
Panicum hemitomon
Bacopa caroliniana
100
72
60
46
39
Small cattail
2
Typha domingensis
100
-------
Cluster
No.
Transects
Species
Sagittaria lancifolia
Bacopa caroliniana
Crinum americanum
Hymenocallis latifolia
% Transects
/Cluster
100
50
50
50
Rocky glades
1
Chiococca alba
Muhlenbergia capillaris
Cladium jamaicense
Melanthera nivea
Rhynchospora filifolia
100
100
100
100
100
Beakrush
3
Rhynchospora tracyi
Cladium jamaicense
Nymphaea odorata
Panicum hemitomon
Pinguicula species
100
67
67
67
67
Wet prairie grasses
2
Eragrostis elliottii
Panicum tenerum
Caperonia castaneifolia
Cassytha filiformis
Utricularia pur pur ea
100
100
100
100
100
-------
Table 4.13. Number of transects, species, and species per transect for each subarea, excluding
the Rotenberger-Holeyland (Rot-Hoi) tract.
Subarea
LOX
WCA2
WCA3-N
WCA3-SE
WCA3-SW
SRS
TS
No. Transects
41
41
43
49
76
96
51
No. Species
48
23
49
18
36
66
81
No. Species per transect
Mean
7
O
6
5
6
6
8
Median
8
3
5
4
6
5
7
Mode
8
3
5
5
9
5
4
Max.
16
9
12
11
14
24
30
Min.
2
1
1
1
1
0
1
-------
Table 4.14. Subarea 1 Clusters. Names associated with species codes given in Table 4.4.
3 Clusters
No. Transects
No. Species
Species
CLJ
PEV
MYC
CEO
OSR
BLS
ELE
PNC
RHF
SCR
TYD
UTF
UTG
UTP
AZC
DRsp
ERC
ERsp
NYO
PDG
RHD
RHI
SAL
WOV
ACD
BAG
CYPsp
HYA
HYF
ILC
LUP
LYJ
MIS
NMA
PAH
PEP
PIN
POHY
RHT
SAG I
SLM
17
41
% Species %
100 RHT
65 PIN
41 PAH
35 NYO
35 SAL
29 BAG
29 CLJ
29 FUS
18 HYA
18 PDG
18 PNC
18
18
18
12
12
12
12
12
12
12
12
12
12
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
2
11
Species
100 NYO
100 ELE
100 UTP
100 PAH
100 UTF
50 UTG
50 RHT
50 BAG
50 PEV
50 RHI
50 NMA
PDG
ELC
SAL
CLJ
ERC
CHsp
ELI
RHF
TYD
BLS
FUS
HYF
PNC
RHM
UTC
WOV
XYS
22
28
100
77
73
68
59
45
36
27
27
27
23
23
18
18
14
14
9
9
9
9
5
5
5
5
5
5
5
5
NOTE: % = Percent of cluster transects where species occurred.
-------
Table 4.15. Subarea 2 clusters. Names associated with species codes given in Table
No. Transects
No. Species
Species %
CLJ
NYO
SAL
TYD
UTF
ELC
CEO
RHF
XYS
BAG
ELE
MEQ
PAH
PDG
POHY
NOTE: % = Percent of cluster transects where species occurred.
30
15
Species
100 TYD
30 Lisp
27 SAL
20 AZC
17 CLJ
13 LUR
10 POP
7
7
3
3
3
3
3
3
6
7
% Species
100 NYO
33 DTP
33 ELC
17 UTG
17 CHsp
17 SAL
17 PDG
PAH
FUS
ELE
CLJ
BAG
5
12
%
100
80
80
60
60
40
40
40
20
20
20
20
-------
Table 4.16. Subarea 3 clusters. Names associated with species codes given in Table 4.4.
No. Transects
No. Species
Species %
1 TYD
2 MIS
3 SAC
4 KOV
5 PNC
6 SAL
7 ALP
8 AZC
9 POP
10 RHF
11 RUsp
12 SACE
13 CLJ
14 ERC
15 LEH
16 LYA
17 PAH
18 AEP
19 AML
20 BAG
21 CEO
22 CHsp
23 CRA
24 CYH
25 ELC
26 ELE
27 HYA
28 HYL
29 IPS
30 JUA
31 LUA
32 LUC
33 LUR
34 NMA
35 NYO
36 OXF
37 PDG
38 PEV
39 PLR
40 POHY
41 POI
42 POS
43 PRP
44 RHM
45 RHT
46 UTF
47 UTG
48 UTP
49XYS
7
49
Species
100 CLJ
71 SAL
71 PNC
43 PAH
43 POHY
43 HYL
29 TYD
29 UTF
29 BAG
29 CRA
29 MIS
29 PDG
14 LUR
14 PLR
14 RHF
14 CEO
14 IPS
0 LUC
0 PEV
0 UTG
0 AML
0 AZC
0 NYO
0 POS
0 PRP
0 UTP
0 AEP
0 CHsp
0 CYH
0 ELE
0 ERC
0 HYA
0 JUA
0 LUA
0 NMA
0 POI
0 RHM
0
0
0
0
0
0
0
0
0
0
0
0
33
37
Species
97 PDG
76 BAG
36 CLJ
30 ELC
30 ERC
21 LUC
21 RHT
21 SAL
15 ELE
15 HYL
15 NMA
15 OXF
12 PAH
12
12
9
9
9
9
9
6
6
6
6
6
6
3
3
3
3
3
3
3
3
3
3
3
3
13
100
67
67
67
67
67
67
67
33
33
33
33
33
NOTE: % = Percent of cluster transects where species occurred.
-------
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Table 4.20. Subarea 7 clusters. Names associated with species codes given in Table 4.4.
3 Clusters + Rocky glades sites
No. Transects 35
No. Species 62
Species
CLJ
RHT
UTG
PLR
MUC
PAT
UTP
MIS
PAH
CAP
ELC
PDG
SAL
EUC
LUC
PHN
RHM
CEA
ELE
ERC
HYL
IPS
LUR
PAV
PEV
ARP
DIP
PRP
RHF
TEC
COR
CRA
ERE
FLL
HYA
JUA
LOG
OSR
SBG
SOS
ANsp
BAG
BAG
CAC
CHP
DIG
DRsp
EUM
ILC
LUO
LYJ
MYC
PAM
PAR
RHDI
SAC
SEP
TAD
TYD
UTC
UTF
VEB
8
32
% Species
100 CLJ
43 PAH
37 CAP
31 RHT
26 PDG
26 RHM
23 SAL
20 COR
20 ERC
17 EYC
17 HYA
17 HYL
17 LOG
14 MIS
14 PHN
14 OSR
14 PAT
11 PRP
11 SOS
11 SPT
11 IPS
11 IVM
11 JAC
11 LYJ
11 MEN
9 MUC
9 PIE
9 PLR
9 PSM
9 RHF
6SAE
6SCN
6
6
6
6
6
6
6
6
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
7
12
% Species %
100 ELC 100
88 RHT 86
75 CLJ 57
75 SAL 43
50 BAG 29
38 PAH 29
38 PDG 29
25 CAP 14
25 CRA 14
25 RHM 14
25 UTG 14
25 UTP 14
25
25
25
25
25
25
25
25
13
13
13
13
13
13
13
13
13
13
13
13
Rocky glades site
(M604)
1
23
Species %
CHP
MUC
CLJ
MEN
RHF
ANB
GAH
SPT
PIC
ANA
ANsp
DIP
TEC
EVS
Lisp
PAH
SAE
CAP
COC
PIG
PLR
SOS
TEB
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
NOTE: % = Percent of cluster transects where species occurred.
-------
Table 4.21. Abiotic factors associated with the 4 major clusters. Data from sites with only
1 type of cluster.
NYMPHAEA&
UTRICULARIA
CTIJSTER
ELEOCHARIS
CELLULOSA+
CTIJSTER
CLADHJM
JAMAICENSE
CTIJSTER
TYPHA
DOMTNGENSIS
CTIJSTER
STGNTF
Surface Water Nutrients (Mean (Standard error, N)):
TOC (mg/L)
TP (ng/g)
TN (mg/L)
NO3 (mg/L)
NH4 (mg/L)
AP (uM/L*hr)
25
(2, 17)
21
(6, 17)
1.26
(0.18, 17)
0.016
(0.002, 17)
0.143
(0.115, 17)
1.46
(0.22, 17)
19
(3, 23)
12
(4, 23)
1.16
(0.17,23)
0.019
(0.004, 24)
0.222
(0.103,24)
1.97
(0.22, 24)
20
(1,55)
11
(1,55)
0.89
(0.07, 55)
0.016
(0.004, 56)
0.062
(0.025, 57)
1.11
(0.10,57)
39
(6,5)
130
(77, 5)
3.44
(1.74, 5)
0.171
(0.096, 5)
0.816
(0.797, 5)
0.18
(0.07, 5)
0.0054
0.0004
0.0081
0.0148
0.5574
0.0001
Soil Characteristics (Mean (Standard error, N)):
Soil Thickness (M)
AFDW (%)
Bulk Density (g/cc)
TP (Jig/g)
AP(uM/g)
1.87
(0.26, 19)
90
(3, 19)
0.18
(0.03, 19)
268
(26, 18)
12.42
(2.79, 19)
0.45
(0.06,31)
47
(4,31)
0.52
(0.11,31)
155
(16,31)
3.56
(1.59,31)
0.75
(0.07, 96)
64
(3, 96)
0.79
(0.10,94)
279
(17, 96)
7.99
(1.53,91)
0.81
(0.18,8)
79
(8,8)
0.53
(0.08, 8)
607
(93, 8)
10.25
(5.18,8)
0.0001
0.0001
0.0001
0.0001
0.0130
Hydroperiod Characteristics (Median (N)) and Water Depth (Mean (Standard error, N))
Annual Average
Hydroperiod Class1
Annual Average Ponding
Depth Class 2
Water Depth (ft), wet
season data only
7
(19)
4
(19)
3.1
(10,0.3)
6
(29)
3
(29)
2.1
(17, 0.2)
5
(95)
3
(95)
1.6
(47,0.1)
6.5
(8)
3
(8)
1.7
(4,0.1)
0.0001
0.0001
0.0002
1 7 = 330-365 d; 6 = 300-330 d; 5 = 240-300 d; classes 1 - 7 possible.
2 4 = 1.0 to 2.0 ft; 3 = 0.5 to 1.0 ft; classes 1 - 6 possible.
-------
Table 4.22. Means (S. E.) of measurements used to study morphological variation in Cladium
jamaicense and Sagittaria lancifolia collected from the Florida Everglades.
Cycle 4
Cycle 5
C. jamaicense
Number of leaves
Leaf length (cm)
Leaf width (mm)
Rhizome diameter (mm)
5.4 (0.08)
164.3 (2.6)
9.3 (0.2)
15.1 (0.3)
5.6 (0.09)
180.6(2.6)
10.2(0.1)
16.4(0.3)
S. lancifolia
Leaf base length (cm)
Petiole length (cm)
Lamina length (cm)
Lamina width (mm)
23.4(0.3)
28.0 (0.4)
14.3 (0.2)
23.0(0.8)
42.4 (0.8)
55.6 (0.7)
16.1 (0.3)
22.6(1.2)
Table 4.23. Covariance of parameters used to study morphological variation in Cladium
jamaicense and Sagittaria lancifolia collected from the Florida Everglades.
C. jamaicense
No. leaves
Leaf length
Leaf width
S. lancifolia
Lf. Base length
Petiole length
Lamina length
Cycle 4
Leafl.
0.39
Petiole 1.
0.58
Leaf w.
0.53
0.83
Lamina 1.
0.58
0.07
Rhiz. d.
0.64
0.81
0.88
Lamina w.
0.35
-0.20
0.73
Cycle 5
Leafl.
0.58
Petiole 1.
0.16
Leaf w.
0.62
0.78
Lamina 1.
0.50
-0.14
Rhiz. d.
0.82
0.73
0.81
Lamina w.
0.41
-0.24
0.80
-------
Table 4.24. Eigenvectors of the first (PCI) and second (PC2) principal components from an
analysis of morphometric variation in Cladium jamaicense and Sagittaria
lancifolia collected from the Florida Everglades.
C. jamaicense
No. leaves
Leaf length
Leaf width
Rhiz. Diameter
S. lancifolia
Leaf base length
Petiole length
Lamina length
Lamina width
Cycle 4
PCI
0.40
0.50
0.53
0.55
PCI
0.56
0.23
0.61
0.51
PC2
0.86
-0.45
-0.21
-0.01
PC2
0.37
0.76
-0.22
-0.49
Cycle 5
PCI
0.47
0.49
0.51
0.53
PCI
0.46
-0.14
0.63
0.61
PC2
0.72
-0.55
-0.37
0.21
PC2
0.48
0.86
-0.01
-0.16
Table 4.25. Results from a nested analysis of variance of first (PCI) and second (PC2)
principal components of morphological data from Cladium jamaicense collected
in the Florida Everglades.
Source
Df
Tvne III SS
MS
F
P
PCI
Cycle 4
Cycle 5
Site
Plant (Site)
Error
Site
Plant (Site)
Error
84
340
181
93
373
55
1390
233
234
1194
358
100
16.5
0.7
1.3
12.8
0.9
1.8
24.13
0.53
13.38
0.53
0.0001
1.0
0.0001
0.9
PC2
Cycle 4
Cycle 5
Site
Plant (Site)
Error
Site
Plant (Site)
Error
84
340
181
93
373
55
205
113
81
155
82
18
2.4
0.3
0.4
1.7
0.2
0.3
7.33
0.75
7.62
0.69
0.0001
0.9
0.0001
0.9
-------
Table 4.26. Results from a nested analysis of variance of first (PCI) and second (PC2)
principal components of morphological data from Sagittaria lancifolia collected
in the Florida Everglades.
Source
df
Tvne III SS
MS
F
P
PCI
Cycle 4
Cycle 5
Site
Plant (Site)
Leaf (Plant)
Error
Site
Plant (Site)
Error
58
246
38
475
58
216
22
1213
339
18
101
524
107
15
20.9
1.4
0.5
0.2
9.0
0.5
0.7
15.18
2.99
2.17
18.22
0.74
0.0001
0.0001
0.0001
0.0001
0.9
PC2
Cycle 4
Cycle 5
Site
Plant (Site)
Leaf (Plant)
Error
Site
Plant (Site)
Error
58
246
38
475
58
216
22
882
107
6
1161
251
74
336
15.2
0.4
0.2
0.1
4.3
0.3
0.4
35.11
2.69
1.27
12.69
0.95
0.0001
0.0002
0.1
0.0001
0.6
-------
Table 4.27. Differences among subareas in Cladium jamaicense morphological parameters. Mean (S.E.) of site averages for
each subarea: N = no. of sites/subarea.
Parameter
No. of Leaves
Total Leaf Length (cm)
Leaf Width (mm)
Culm Diameter (mm)
N:
Subarea
1
5 (0.4)
177(17)
10 (0.7)
16(1.2)
15
2
7 (0.3)
205 (9)
12 (0.4)
19(1.0)
22
3
7 (0.4)
190(16)
11 (0.7)
19(1.3)
20
4
6 (0.3)
215 (7)
12(0.5)
21(1.1)
30
5
5 (0.3)
212(12)
12(0.8)
21(1.5)
16
6
5 (0.2)
157 (7)
8 (0.4)
13 (0.7)
48
7
5 (0.2)
121 (6)
7 (0.3)
10 (0.5)
26
P*
O.OOOl
O.OOOl
O.OOOl
O.OOOl
*Probability of a greater Chi square value in Kruskal-Wallis test.
Table 4.28. Differences among subareas in Sagittaria lancifolia morphological parameters. Mean (S.E.) of site averages for
each subarea: N = no. of sites/subarea.
Parameter
Total Leaf Length (cm)
Leaf Base Length (cm)
Petiole Length (cm)
Petiole Width (mm)
Lamina Length (cm)
Lamina Width (cm)
Culm Diameter (cm)
Culm FW/L (g/cm)
N:
Subarea
1
81(10)
29(5)
38(5)
5 (0.8)
14(2)
2.3 (1.0)
2.7 (0.3)
12(2)
8
2
104 (7)
38(3)
48(4)
5 (0.4)
18(1)
3.5 (0.4)
3.1 (0.2)
14(2)
12
3
91(7)
36(3)
36(4)
6 (0.3)
19(1)
4.1 (0.4)
3.1(0.2)
15(2)
25
4
92(7)
34(3)
47(4)
5 (0.3)
12(1)
1.1 (0.2)
2.6(0.1)
11(1)
20
5
113(10)
42(5)
57(6)
4 (0.3)
15(2)
1.3 (0.2)
2.6 (0.2)
14(3)
7
6
81(6)
28(2)
43(3)
4 (0.2)
11(1)
0.6(0.1)
2.5(0.1)
11(1)
26
7
76(8)
26(3)
35(5)
5 (0.4)
15(1)
1.4(0.3)
2.8 (0.2)
11(2)
11
P*
0.0985
0.0692
0.0254
O.OOOl
O.OOOl
O.OOOl
0.1044
0.2674
*Probability of a greater Chi square value in Kruskal-Wallis test.
-------
Table 4.29. Means (S.E.) of soil physical and chemical characteristics at sites in the Florida
Everglades from which Cladium jamaicense and Sagittaria lancifolia were
collected.
Cvcle 4
Cvcle 5
C. jamaicense
Total phosphorus (jJ-g/g)
Alkaline phosphatase (//mole/g)
% Ash-free dry weight
Bulk density (g/cm3)
% Mineral content
251.1 (16.5)
7.8(1.6)
63.9(3.1)
0.91 (0.11)
36.2(3.1)
260.8 (14.9)
12.4 (2.4)
70.7 (2.4)
0.30 (0.02)
29.3 (2.4)
S. lancifolia
Total phosphorus (jJ-g/g)
Alkaline phosphatase (//mole/g)
% Ash-free dry weight
Bulk density (g/cm3)
% Mineral content
286.8(27.1)
7.6(1.4)
63.5 (3.6)
0.81 (0.01)
36.6 (3.6}
283.6(20.9)
8.5 (2.3)
67.2(3.0)
0.33 (0.03)
32.8 (3.0}
Table 4.30. Covariance of soil physical and chemical characteristics at sites in the Florida
Everglades from which Cladium jamaicense and Sagittaria lancifolia were
collected.
Cycle 4
AP
AFDW
BD
MC
Cycle 5
AP
AFDW
BD
MC
C. jamaicense
TP
AP
AFDW
BD
0.43
0.43
0.35
-0.16
0.04
-0.65
-0.43
-0.35
-1.00
0.65
-0.10
0.35
0.31
-0.28
-0.18
-0.64
-0.35
-0.31
-1.00
0.64
S. lancifolia
TP
AP
AFDW
BD
0.54
0.34
0.36
0.00
0.17
-0.52
-0.34
-0.36
-1.00
0.52
-0.14
0.42
0.33
-0.29
-0.20
-0.61
-0.42
-0.33
-1.00
0.61
TP = total phosphorus
AP = alkaline phosphatase
AFDW = % ash-free dry weight
BD = bulk density
MC = % mineral content
-------
Table 4.31. Eigenvectors of the first (PCI) and second (PC2) principal components from
analysis of soil physical and chemical characteristics at sites from which Cladium
jamaicense and Sagittaria lancifolia were collected in the Florida Everglades.
Cycle 4
PCI
PC2
Cycle 5
PCI
PC2
C. jamaicense
TP
AP
AFDW
BD
MC
0.35
0.27
0.56
-0.41
-0.56
0.47
0.68
-0.12
0.52
0.12
0.28
0.23
0.57
-0.47
-0.57
-0.65
0.75
0.03
0.06
-0.04
S. lancifolia
TP
AP
AFDW
BD
MC
0.34
0.32
0.58
-0.32
-0.58
0.50
0.60
-0.15
0.59
0.15
0.31
0.23
0.57
-0.45
-0.57
-0.63
0.77
0.03
0.02
-0.03
TP = total phosphorus
AP = alkaline phosphatase
AFDW = % ash-free dry weight
BD = bulk density
MC = % mineral content.
Table 4.32. Spearman's rank-sum correlation coefficients for the relationships between the
first (PCI) and second (PC2) principal component scores for plant morphometric
data and soil physicochemical data at sites in the Florida Everglades from which
Cladium jamaicense and Sagittaria lancifolia were collected. aP < 0.01,
bP<0.0001.
Cycle 4
PCl-soil
PC2-soil
Cycle 5
PCl-soil
PC2-soil
C. jamaicense
PCI -plant
PC2-plant
0.58b
-0.12a
-0.35b
0.30b
0.43b
-0.29b
0.12a
-0.23b
S. lancifolia
PCI -plant
PC2-olant
0.33b
N.S.
O.lla
-0.49b
N.S.
N.S.
-0.41b
0.45b
-------
Table 4.33. Pairwise Spearman's rank-sum correlation coefficients for plant morphological and soil physicochemical
parameters used in principal component analysis based on Cladium jamaiceme and Sagittaria lancifolia plants
collected in the Florida Everglades. aP < 0.05; bP < 0.01; CP < 0.001; dP < 0.0001.
C. jamaicense
No. leaves
Leaf length
Leaf width
Rhiz. diameter
S. lancifolia
Leaf base length
Petiole length
Lamina length
Lamina width
Cycle 4
TP
0.25d
0.30d
0.27d
0.25d
TP
0.23d
0.08a
0.23d
0.32d
AP
0.25d
O.lla
0.17d
0.15C
AP
N.S.
-0.21d
0.30d
0.49d
AFDW
0.31d
0.51d
0.49d
0.49d
AFDW
0.13C
0.12C
0.12C
0.23d
BD
-0.1 8d
-0.65d
-0.57d
-0.58d
BD
-0.28d
-0.51d
0.08d
0.17d
MC
-0.31d
-0.51d
-0.49d
-0.49d
MC
-0.13C
-0.12C
-0.12C
-0.23d
Cycle 5
TP
0.26d
0.16C
0.23d
0.24d
TP
N.S.
-0.33d
0.32d
0.44d
AP
N.S.
0.35d
0.33d
0.30d
AP
N.S.
0.29d
-0.27d
-0.20C
AFDW
0.29d
0.53d
0.55d
0.46d
AFDW
N.S.
N.S.
N.S.
0.26d
BD
-0.09a
-0.40d
-0.41d
-0.28d
BD
0.1 6b
N.S.
0.1 8b
N.S.
MC
-0.29d
-0.53d
-0.55d
-0.46d
MC
N.S.
N.S.
N.S.
-0.26d
-------
Table 4.34. Spearman's rank-sum correlation coefficients for the relationships between S.
lancifolia leaf % nutrient content and the first (PCI) and second (PC2) principal
component scores for plant morphometric data and soil physicochemical data at
sites from which plants were collected in the Florida Everglades. Data are from
Cycle 4 sampling period only. aP < 0.05, bP < 0.005, CP < 0.0001.
PCI -soil
PC2-soil
PCI -plant
PC2-plant
%C
N.S.
N.S.
-0.13b
-0.42C
%N
-0.15C
0.37C
-0.09a
-0.67C
%P
-O.llb
0.49C
0.19C
-0.59C
N:P
N.S.
-0.37C
-0.37C
0.33C
Table 4.35. Spearman's rank-sum correlation coefficients for the relationships between C.
jamaicense leaf nutrient content and the first (PCI) and second (PC2) principal
component scores for plant morphometric data and soil physicochemical data at
sites from which plants were collected in the Florida Everglades. Nutrient data
are a subset of Cycle 5 sampling period and represent bulk samples by site. aP =
0.055, bP < 0.05, CP < 0.01, dP < 0.0001.
PCI -soil
PC2-soil
PCI -plant
PC2-plant
%C
-0.37b
N.S.
N.S.
0.1 7b
%N
N.S.
-0.46b
N.S.
0.35d
%P
N.S.
-0.36a
0.21C
0.1 9b
N:P
N.S.
N.S.
-0.29d
N.S.
-------
Table 4.36. Mean (S. E.) values for five measures of hydroperiod among seven subareas of
the Florida Everglades. Means are based on midpoints of categorized model
output (see Methods). Hydroperiod codes: 1) mean annual number of days of
inundation, 2) number of days of inundation in 1989, 3) mean annual water depth,
4) mean water depth during the month of May, and 5) mean water depth during
the month of October.
Subarea
LOX
WCA2
WCA3-N
WCA3-SE
WCA3-SW
Shark
Taylor
n
25
25
27
29
41
50
25
v=
1
335.7(8.0)
323.8(5.7)
292.2 (8.2)
332.6 (9.2)
342.3 (3.8)
285.3(8.5)
164.4(15.6)
122.98
2
291.6(15.5)
191.5(17.1)
203.3(11.2)
275.6(17.8)
320.2 (6.0)
158.4(9.8)
85.2(12.0)
129.21
3
0.44 (0.04)
0.32 (0.03)
0.24 (0.03)
0.57 (0.04)
0.45 (0.03)
0.18(0.01)
0.06(0.01)
127.93
4
0.19(0.03)
0.18(0.02)
0.09(0.01)
0.33 (0.03)
0.23 (0.02)
0.09(0.01)
0.02(0.01)
105.32
5
0.69 (0.04)
0.47 (0.04)
0.40 (0.03)
0.71 (0.05)
0.60 (0.03)
0.34 (0.02)
0.14(0.02)
117.45
1 Kruskal-Wallis approximation of Chi-Square test for differences among divisions, df = 6, P < 0.0001 for
all hydroperiod categories.
LOX = Loxahatchee National Wildlife Refuge or Water Conservation Area 1
WCA2 = Water Conservation Area 2
WCA3-N = Water Conservation Area 3, north
WCA3-SE = Water Conservation Area 3, southeast
WCA3-SW = Water Conservation Area 3, southwest
Shark = Shark River Slough, Everglades National Park
Taylor = Taylor Slough, Everglades National Park.
Table 4.37. Spearman's rank-sum correlation coefficients for relationships among five
variables measuring hydroperiod in the Florida Everglades. Analysis is based on
midpoints of categorized model output (see Methods). P < 0.0001 for all
correlations.
1
2
3
4
2
0.87
3
0.83
0.82
4
0.76
0.70
0.83
5
0.79
0.79
0.88
0.79
Hydroperiod codes: 1) mean annual number of days of inundation, 2) number of days of inundation in 1989,
3) mean annual water depth, 4) mean water depth during the month of May, and 5) mean water depth during the
month of October.
-------
Table 4.38. Spearman's rank-sum correlation coefficients for relationships between mean
annual water depth and morphological characteristics of Cladium jamaicense and
Sagittaria lancifolia, as well as soil physicochemical characteristics, at sites from
which plants were collected in the Florida Everglades. aP < 0.05; bP < 0.0001.
C. jamaicense
Cvcle 4
Cvcle 5
S. lancifolia
Cvcle 4
Cvcle 5
Soil Phvsicochemical Parameters
TP
AP
AFDW
BD
MC
0.20b
N.S.
0.56b
-0.81b
-0.56b
0.1 9b
0.53b
0.59b
-0.49b
-0.59b
TP
AP
AFDW
BD
MC
0.1 9b
-0.18b
0.32b
-0.71b
-0.32b
N.S.
0.28b
0.47b
-0.46b
-0.47b
Morphological Parameters
No. leaves
Leaf length
Leaf width
Rhiz. Diameter
0.20b
0.70b
0.63b
0.64b
0.27b
0.55b
0.56b
0.45b
Leaf base length
Petiole length
Lamina length
Lamina width
0.28b
0.46b
N.S.
-0.08a
0.13a
0.23b
N.S.
N.S.
TP = total phosphorus
AP = alkaline phosphatase
AFDW = % ash-free dry weight
BD = bulk density
MC = % mineral content.
-------
Major Vegetation Cover by Region
o
O
0)
a
0)
Q.
EAA
WCA1
WCA2
WCA3
ENP
Region
Figure 4.1. Major vegetation cover by region - Cycles 4 and 5 combined.
-------
Major Vegetation Cover by Latitudinal Zone
70 i
60
26.68-26.36 26.36-26.16 26.16-25.95 25.95-25.76 25.76-25.56 25.56-25.24
Latitudinal Zone (decimal degrees)
Figure 4.2. Major vegetation cover by latitudinal zone - Cycles 4 and 5 combined.
-------
Figure 4.3. Map depicting spatial trends in major vegetation classes and summary statistics.
-------
21,36
25,95
J576
\
\
EAA
ENP
\ WCA1
WCA2
ili I km
Figure 4.4. EPA South Florida Ecosystem Assessment Project study area and
locations of pilot study. Cycle 4 and Cycle 5 monitoring sites.
-------
* »/
f *
- *
'" ' • V
^J". £ * I
Figure 4.5. Interpolation of cattail percent cover - Cycles 4 and 5.
-------
Figure 4.6. Interpolation of sawgrass percent cover - Cycles 4 and 5.
-------
Figure 4.7. Interpolation of wet prairie percent cover - Cycles 4 and 5.
-------
Figure 4.8. Interpolation of "other" vegetation percent cover - Cycles 4 and 5.
-------
60
50 -•
_59_
56
54 m
I 40
a.
1
i
32
30 -•
21
20 -•
10 -•
0
41
39
33
M 31
15
11
7 7
o 1 1 o loo L o ! o o o oo 1
I m I
H h
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
Number of Species
Figure 4.9. Number of species per transect.
-------
Typha cluster, 18 transects
Typha-Sagittaria cluster, 2 transects
Muhlenbergia cluster, 2 transects
Rhynchospora tracyi cluster, 3 transects
Nymphaea-Utricularia cluster, 69 transects
Eleocharis cellulosa cluster, 93 transects
Rocky glades cluster, 1 transect
Clad/urn cluster, 229 transects
Figure 4.10. Site clusters based on species frequency and abundance.
-------
26.6
26.4
f
ra
.1 26.0-
0
LU
Q
P 25.fr
25.6-
25A
PLANT CLUSTERS
ENTIRE SYSTEM
8 CLUSTERS
^
0
+ o oo
* +o /
** /
o o
o
4 BAWORASS
X CATTAIL
O NYMPHAEA +
+ ELEOCHARI8*
* CATTAIL*
• HOM
U RMYMCHOSPOflA-
* WTflT
-81.0 -808 -80.6
LONGITUDE, decimal degrees
Figure 4.11. Distribution of plant clusters in study area - Cycles 4 and 5.
-------
PLANT CLUSTERS
ENTIRE SYSTEM
3 OF 8 CLUSTERS
H^ +
+ +
£+ 4
O
+ ffl
J_ i
CLUSTERS
O MYMPHAEA +
-|- ELJEOCHARISt
D RHYCHOSPORA
Figure 4.12. Distribution of 3 plant clusters in study area - Cycles 4 and 5.
-------
PLANT CLUSTERS
ENTIRE SYSTEM
5 OF 8 CLUSTERS
CLUSTERS
8AWGRASS
CATTAIL
CATTAIL*
M604
M707
Figure 4.13. Distribution of 5 plant clusters in study area - Cycles 4 and 5.
-------
LNWR PLANT CLUSTERS
O NYMPHAEA +
SAWGRASS
D RHYNCHOSPORA +
Figure 4.14. Clusters for LNWR.
-------
WCA2 PLANT CLUSTERS
SAWGRASS
CATTAIL
A NYMPHAEA
Figure 4.15. Clusters for WCA2.
-------
WCA3 NORTH PLANT CLUSTERS
CATTAIL
SAWGRASS
X PASPALIDIUM
Figure 4.16. Clusters for WCA3 North.
-------
WCA3 SOUTHEAST
PLANT CLUSTERS
SAWGRASS
+ ELEOCHARUS +
O NYMPHAEA+
Figure 4.17. Clusters for WCA3 Southeast.
-------
WCA3 SOUTHWEST
PLANT CLUSTERS
*
^o
©
t>"~\
\^J
<9
SAWGRASS
QNYMPHAEA +
ELEOCHARIS
VM573
Figure 4.18. Four plant clusters for WCA3-SW.
-------
WCA3 SOUTHWEST PLANT CLUSTERS
SAWGRASS
PAN 1C U M +
+ ELEOCHARUS
O NYMPHAEA
V IIS52
A M5T3
Figure 4.19. Six clusters for WCA3 Southwest.
-------
SHARK SLOUGH PLANT CLUSTERS
ELEOCHARUS CELLULO8A *
X. ELEOCHA«US ELONGATA *
v
a
Figure 4.20. Clusters for Shark River Slough.
-------
TAYLOR SLOUGH PLANT CLUSTERS
3AWGRA33
LI SAWGRASS-PANICUM +
+ ELEOCHARJSCELLULOSA-t-
V M604
Figure 4.21. Clusters for Taylor Slough.
-------
CLAD1UM JAMAICENSE
DISTRIBUTION
Figure 4.22. Sawgrass distribution in the study area.
-------
CLADIUM JAMAICENSE
CULM DENSITY
• 0
O 1-10
O 11-20
21 - 30
30-120
Figure 4.23. Sawgrass culm density in the study area.
-------
u
4*
SB
=
«
H
s
I
18U '
160 -
140 -
120 -
100 -
80 -
60 -
40 -
20 -
109
1
27
22
14 l_L
7 2 ? ? 2 3 2 4 4 5 6 5 7 4 ? |~| H
^~
—
57
0 1
7 8 9 10 11 12 13 14 15 16 17 18 19 20
Number of Quadrats
Figure 4.24. Frequency of occurrence of sawgrass per transect.
-------
Cladium jamaicense
A. Relative Frequency per transect
20-
"o
0)
c 15-
2 :
0)
£ 10-
o
c
0)
3
2 5:
LJ_
Q
-
p D Q
^_
*
—
-
—
-
-i
^"^
^j
-1-
01234567
Subareas
B. Culm Density per m2, 7 outliers >50 removed
50-
CM -
»- 40-
0)
Q.
(0
E 30-
3
o
8 20-
S
0)
i 10-
(0
o-
.
^
—
-
-
-
-
-
—
-
—
^
—
: —
p.
™
y
-:•
^
—
01234567
Sub Area
Figure 4.25. Distribution of sawgrass by subareas.
-------
0)
W)
U
100%
90% •
80% -
70% -
60%
50% •
40% -
30% -
20%
10% -
0%
Cladium jamai cense
94%
82%
81%
83%
78%
63%
Subarea
Figure 4.26. Percent of transects in which sawgrass occurs by subarea.
-------
Cladium jamaicense (sawgrass)
u
300-
250-
? 200-
(0
150-
100-
01234567
Subarea
35-
E
E so-
1 25"
E
«J 20-
0
0)
E 15-
0
N
£ 10-
_
: m Fl rh
^ m
"*" | ^^
t m T T : LJ rL
H : Lj-l • _L !
LJ ' — • :
'. • • "!" !
""" - + @
• • 1
01234567
Subarea
Figure 4.27. Sawgrass morphometrics by subarea.
-------
UTRICULARIA PURPUREA
UTRtCULARtA FOUOSA
DISTRIBUTION
HH.rtHJENCY
f*ER 20 O25 M2 QUAOS
1 -4
5-9
O 10-14
O15-19
20
Figure 4.28. Distribution of U. purpurea and U.foliosa in the study area.
-------
Utricularia purpurea
o
a)
to
c
(0
a>
a.
>
o
c
a>
a>
20- i-i
15-
10-
5-
2345
Subareas
Utricularia foliosa
o
a)
(0
a)
a.
>
o
c
a)
a)
15-
10-
01234567
Subareas
Figure 29. Distribution of U. purpurea and U. foliosa
by subarea.
-------
0)
M)
u
100%
90% •
80% •
70% •
60% •
50% •
40% •
30% •
20%
Utricularia purpurea
Utricularia foliosa
. , 18%
10% •
0%
0%
46%
10%
12%
22%
18%
|_
Subarea
Figure 4.30. Percent of transects with U. purpurea and U. foliosa by subarea.
-------
UTRICULARIA GIBBA
DISTRIBUTION
Figure 4.31. U. gibba distribution in the study area.
-------
Utricularia gibba
20-
o
0)
(G
0)
Q.
>
O
15-
10-
5-
o-
01234567
Subareas
Figure 4.32. Distribution of U. gibba by subarea.
-------
100%
90%
Utricularia gibba
80% ••
70% ••
60%
4*
£
4*
50% ••
40% •
30%
45%
32%
27%
20%
10% •
Subarea
Figure 4.33. Percent of transects with U. gibba by subarea.
-------
ELEQCHARIS CELLULOSA
ELEQCHAR1S ELONGATA
DISTRIBUTION
ELEGCHAfVS
GtU.Ul.GSJi
ELEOCHMK
ELOH&ATA
Figure 4.34. Distribution of E. cellulosa andE. elongata in the study area.
-------
Eleocharis cellulosa
o
0)
(/)
c
(0
0.
>
u
20-
15-
10-
5-
01234567
Subareas
Eleocharis elongata
(A
c
(0
Q.
>
U
20-
15-
10-
5-
o-
01234567
Subareas
Figure 4.35. Distribution of E. cellulosa andE. elongata by subarea.
-------
100%
u
OX)
D
U
80%
70%
60%
50%
40%
30%
20%
10%
0%
Eleocharis cellulosa
Eleocharis elongata
54%
6%
0%
10%
Figure 4.36. Percent of transects withE1. cellulosa andE. elongata by subarea.
-------
PANICUM HEMITOMON
DISTRIBUTION
O .0 /
o <<>
FREQUENCY
PER 20 Q.2SM2 QUADS
* 1-4
5-9
<> 10-14
<> 15-19
20
Figure 4.37. Distribution of P. hemitomon in the study area.
-------
PASPALIDIUM GEM1NAT1UM
DISTRIBUTION
, 1,4
o 5-9
O 10-14
O 15-19
20
Figure 4.38. Distribution of P. geminatium in the study area.
-------
A. Panicum hemitomon
Q>
Q.
>
O
c
Q>
20-
o
0)
g 15-
S
10-
5-
2345
Subareas
B. Paspalidium geminatum
o
0)
(A
C
Q>
Q.
>
O
Q)
3
CT
£
20-
15-
10-
5-
I
0123456
Subareas
Figure 4.39. Distribution of P. hemitomon and
P. geminatium by sub area.
-------
0)
M)
u
60%
50% •
40% •
30% •
Panicum hemitomon
Paspilidium geminatum
20% •
10% •
Subarea
Figure 4.40. Percent of transects with/1, hemitomon and P. geminatium by subarea.
-------
SAGITTARIA LANCIFOLIA
DISTRIBUTION
* 1-4
o 5-9
O 10-14
O 15-19
20
Figure 4.41. Distribution of S. lancifolia in study area.
-------
Sagittaria lancifolia
^ 20-
o
(D
15-
(D
Q.
(D
3
10-
5-
(0
'•B
(D
o-
s
01234567
Subareas
Figure 4.42. Distribution of S. lancifolia by subarea.
-------
M)
U
Subarea
Figure 4.43. Percent of transects with S. lancifolia by subarea.
-------
BACOPA CAROLINIANA
DISTRIBUTION
« 1-4
O 5-9
O 10-14
<> 15-19
20
Figure 4.44. Distribution of B. caroliniana in study area.
-------
Bacopa caroliniana
20-
o
» 10'
o
c
-------
4*
=
4*
u
100% •
90% •
80% •
70% •
60% •
50% •
40% •
30% •
20% •
10% •
0%
Bacopa caroliniana
6%
20%
5%
42%
40%
Subarea
Figure 4.46. Percent of transects with B. caroliniana by subarea.
-------
NYMPHAEA ODORATA
DISTRIBUTION
1-4
O 5-9
O 10-14
<> 15-19
20
Figure 4.47. Distribution of TV. odorata in study area.
-------
Nymphaea odorata
20-
o
0)
15-
0)
Q.
>*
o
c
0)
10-
2> 5-
o-
01234567
Subareas
Figure 4.48. Distribution ofN. odomtaby subarea.
-------
M
OS
4)
PH
100%
90% ••
80% ••
70% ••
60% ••
50%
40%
30% ••
20% ••
10% ••
0%
6%
63%
43%
43%
0%
Subarea
Figure 4.49. Percent of transects with TV. odorata by subarea.
-------
RHYNCHQSPQRA TRACY/
DISTRIBUTION
* 1-4
O 5-9
O 10-14
O 15-19
n 20
Figure 4.50. Distribution of R. tracyi by subarea.
-------
Rhynchospora tracyi
20-
o
0)
15-
0)
Q.
10-
O
c
5-
o-
01234567
Subareas
Figure 4.51. Distribution of R. tracyi by subarea.
-------
100%
Percent of Transects in Which Species Occurs by Subarea
90% ••
Rhynchospora tracyi
80% ••
70% ••
4*
6*
4*
u
60%
50% ••
40% ••
30% ••
20%
10% •
0%
27%
5%
0%
0%
0%
38%
53%
Subarea
Figure 4.52. Percent of transects with,/?, tracyi by subarea.
-------
TYPHA
DISTRIBUTION
o 5-9
O 10-14
0 15-19
20
Figure 4.53. Distribution of T. domingensis in the study area.
-------
Typha domingensis
20-
o
0)
CO
i 15^
^^ ~
0)
S 10-
o
c
0)
-------
OX)
0- 40% -
30%
20% •
10% -
0%
100%
90%
80% •
70% -
60% -
50% • • 47%
Typha domingensis
33%
29%
12%
T70/_
Z, / /U
0%
12345
2%
2%
Subarea
Figure 4.55. Percent of transects with T. domingensis by subarea.
-------
PELTANDRA VIRGINICA
DISTRIBUTION
Figure 4.56. Distribution of P. virginica in the study area.
-------
Peltandra virginica
15-
+•»
o
-------
4*
4*
u
100%
90% •
80% •
70%
60%
50% •
40% •
30% •
20% •
10% •
Peltandra virginica
41%
13%
0%
7%
4%
luyo
8%
Subarea
Figure 4.58. Percent of transects with/1, virginica by subarea.
-------
HYMENOCALLIS LATIFQUA
DISTRIBUTION
* 1-4
o 5-9
O 10-14
Figure 4.59. Distribution ofH. latifolia in the study area.
-------
Hymenocallis latifolia
15-
10-
(1)
Q.
>»
O
c
(1)
3
CT
(1)
5-
o-
i
01234567
Subareas
Figure 4.60. Distribution ofH. latifolia by subarea.
-------
0)
M)
u
100%
90%
80% •
70% •
60%
50%
40%
30% •
20% •
10% •
0% •
Hymenocallis latifolia
0% 0% 0%
1 1
19%
18%
11%
12%
1 2 3
Subarea
Figure 4.61. Percent of transects with//, latifolia by subarea.
-------
Transect Plant Analysis
O
c
CD
1.0
0.8
O
O
2 0.6
CD
M—
O
c
O
'•c
O
Q.
O
0.4
0.2
0.0
PLANT TYPES
CLJ
ELC
NYO
RHT
SAL
TYD
UTP
0 20 40 60 80 100
Soil Ash Free Dry Weight
Figure 4.62. Logistic regression of AFDW to plant abundance.
-------
Macrophyte Data Analysis
PLANT TYPES
CLJ
ELC
NYO
RHT
SAL
TYD
DTP
500 1000 1500
Total Phosphorus in Soil
2000
Figure 4.63. Logistic regression of soil TP to plant abundance.
-------
A. Cladium jamaicense
20-
re •—-
0) nj
-I ±!
0) (A
O) «-
2 ~ 15-
10-
5-
50
100
150
200
250
300
Average Leaf Length
per site (cm)
B. Sagittaria land folia
(0 F
.E 1
re •*••
-i w
0) >-
O) 0)
2 °-
9-
8-
7-
6-
5-
4-
3-
2-
1-
0
10
15
20
25
30
Average Lamina Length
per site (cm)
Figure 4.64. Scatterplot of average lamina length per site vs.
lamina width per site for Cladium jamaicense
(A) and Sagittaria lancifolia (B).
-------
Sagittaria lancifolia
A .
30 '
£ 25 -
ro
c
0) —
-J E
| — 20 -
E 3
1 5 '
1 0 —
34
S ub area
B .
ina
cm
verage L
per si
I U
9 —
7 —
6-
5 —
3-
2 —
1 —
—
B
- n
y
—
oi . -
- S S a i
Figure 4.65.
S u barea
Sagittaria lancifolia average lamina length per
site (A) and average lamina width per site (B)
by subarea. Subarea 0 = Rotenberger-
Holyland; 1 = Loxahatchee National Wildlife
Refuge; 2 = WCA2; 3 = WCA3 north of
Alligator Alley; 4 = southeastern WCA3; 5 =
southwestern WCA3; 6 = Shark River Slough,
Everglades National Park; 7 = Taylor Slough
and southern Everglades National Park.
-------
Sagittaria lancifolia
A. Dry Season
10
1 8
re c
c .o, 6
E a)
re — 5
t[4
2
5
475
9 •
8 •
7 •
6 •
5 •
4 •
3 •
2 •
1 •
•
». •
•
^\ ^^
• CD •
^- (DQQ
^*vDO C*}
O o O o O • •
r ***,-* P.. <9^° *
. ®: QE> V^QQ
-------
Cladium jamaicense
A.
0 10 20 30 40 50 60 70 80 90 100
Soil AFDW (%)
B.
o
0)
a)
to
a>
Figure 4.67.
300-
250-
200-
150-
100-
R2= 0.01
0 100 300 500 600
Soil TP (M9/9)
800
1000
Scatterplot of (A.) soil ash-free dry weight vs. average
leaf length per site and (B.) soil total phosphorus vs.
average leaf length per site for Cladium jamaicense.
-------
Sagittaria lancifolia
A.
O)
M- c
re C
0) O
_l *-"
_ 0
re .-£
o 2
I- 0
0) Q.
O)
«3
160-
150-
140-
130-
120-
110-
100-
90-
80-
70-
60-
50-
40-
30
R2= 0.001
\ \ \ \ \ \ \ \ \ \ \
0 100 300 500 700 900 1100
Soil TP (M9/g)
B.
E o>
O) Q.
SS
03
Figure 4.68.
0 100 300 500 700 900 1100
Soil TP (M9/9)
Scatterplot of (A.) soil total phosphorus vs.
average total leaf length per site and (B.) soil total
phosphorus vs. average lamina width per site for
Sagittaria lancifolia.
-------
Sagittaria lancifolia
-------
Sagittaria lancifolia
B.
0)
.1 .2 .3 .4 .5
Average Leaf % P per Site
70-
O) 60-
50-
S. « 4(H
30-
20-
10-
R2= 0.273
.1 .2 .3 .4 .5
Average Leaf % P per Site
Figure 4.70. Scatterplot of (A.) average leaf % phosphorus
per site vs. average lamina width per site and
(B.) for average leaf % phosphorus per site
vs. average petiole length per site for
Sagittaria lancifolia.
-------
Sagittaria lancifolia
A.
2.0 2.5 3.0 3.5 4.0
Average Leaf % N per Site
B.
D)
c
a)
o ci
o- ^
a) »-
O) <1>
S ft
a)
Figure 4.71.
70-
60-
50-
40-
30-
20-
10-
R 2 = 0.641
2.0
2.5
3.0
3.5
4.0
Average Leaf % N per Site
Scatterplot of (A.) average % leaf nitrogen per
site vs. average lamina width per site and (B.)
for average % leaf nitrogen per site vs. average
petiole length per site for Sagittaria lancifolia.
-------
Cladium jamaicense
A.
(0
Q.
0.
re
a>
0.055
0.050-
0.045-
0.040-
0.035-
0.030-
0.025-
0.020-
0.015
R2 = 0.183
0 100 200 300 400 500 600 700 800
Soil TP (|jg/g)
B.
a)
+j
'55
15
a)
0.90'
0.85-
0.80-
0.75-
0.70-
0.65-
0.60-
0.55-
0.50-
0.45
R2 = 0.179
0 100 200 300 400 500 600 700 800
Soil TP (Mg/g)
Figure 4.72. Scatterplot of (A.) soil total phosphorus per site vs.
average leaf % phosphorus per site and (B.) soil total
phosphorus per site vs. average leaf % nitrogen per site
for Cladium jamaicense.
-------
Cladium jamaicense
A.
O)
300-
-« 250-
5 | 200-1
O) 0
0) 150-
100-
12345
Mean Annual Average Ponding
Depth Classes
B.
0)
E
re
5
0) Q.
O)
2
0)
Figure 4.73.
35-
30-
25-
5 20-
15-
10-
12345
Mean Annual Average Ponding
Depth Classes
Cladium jamaicense average leaf length per
site (A.) and average rhizome diameter per
site (B) by mean annual average ponding
depth class. 1 = 0 to 0.1 ft; 2 = 0.1 to 0.5 ft;
3 = 0.5 to 1.0 ft; 4 = 1.0 to 2.0 ft; 5 = 2.0 to
3.0ft; 6 = more than 3 ft.
-------
Sagittaria lancifolia
A.
O)
c
.J
_0)
^ 0)
t> ±i
Q. (/)
I*
0)
70-
60-
50-
^ 40-
30-
20-
10-
Mean Annual Average Ponding
Depth Classes
B.
0)
10-
9-
^ 7-
o 6-
ji; 5
'55
s- 4-
°- 3-
2-
1-
o-
B
Mean Annual Average Ponding
Depth Classes
Figure 4.74. Sagittaria lancifolia average petiole length
per site (A.) and average lamina width per
site (B.) by mean annual average ponding
depth classes. 1 = 0 to 0.1 ft; 2 = 0.1 to
0.5 ft; 3 = 0.5 to 1.0 ft; 4 = 1.0 to 2.0 ft;
5 = 2.0 to 3.0 ft; 6 = more than 3 ft.
-------
80%
70% ••
60% ••
50% ••
40% ••
30% -•
20% -•
10% -•
North - LOX
LOX
Central
South
Figure 4.75. Frequency of major plant clusters in areas of the Everglades.
-------
5.0 PERIPHYTON DISTRIBUTION
5.1 Periphyton Importance in the Everglades Ecosystem
Periphyton is a dominant and conspicuous component in most of the Everglades marsh.
Periphyton mats contain a mixed and tightly organized assemblage of autotrophic microalgae,
heterotrophic bacteria and associated macrophyte plants and detritus. Natural assemblages are
productive (Browder et al. 1982), providing the primary source of fixed carbon to the food web
(Turner et al. 1999) and influencing water and soil quality through their metabolism (Gleason &
Spackman 1974).
Native Everglades periphyton communities are threatened by disturbances that alter their
structure and disrupt functional processes that maintain their natural organization. Examples
include documented compositional and physiological responses to nutrient enrichment (Swift &
Nicholas 1987, Raschke 1993, Vymazal & Richardson 1995, McCormick et al. 1996,
McCormick & O'Dell 1996) and structural responses to changes in hydrologic regimes (Browder
et al. 1982). Because periphyton communities integrate short-term variation in their physical and
chemical environment, measures of their condition in terms of productivity, biomass, species
composition or nutrient content can provide more reliable assessments of water quality than
single point physicochemical measures. While there have been several attempts to develop
periphyton-based indices of nutrient enrichment in the Everglades (McCormick & Stevenson
1998), their application throughout the Everglades must be approached cautiously since their
performance has not been evaluated outside the few localities where the data originated.
Furthermore, the usefulness of periphyton in assessing other elements of water quality and
quantity (i.e., ion content, mercury contamination, hydroperiod, water depth) has not been
examined in the Everglades. However, numerous studies elsewhere have shown algae,
particularly diatoms, to be useful in tracking changes in ion concentrations (i.e., acidification
Dixit et al. 1992); hydroperiod (Gaiser et al. 1998), water depth (Pienitz et al. 1995), and salinity
(Fritz et al. 1991) in addition to assessing nutrient enrichment (Dixit et al. 1992).
For these reasons, an analysis of diatom composition was incorporated into the 1999
REMAP assessment protocols. The specific goals were to: (1) provide spatially intensive
baseline data from sites throughout the Everglades for future use in tracking natural or
anthropogenic long-term environmental change; (2) describe current spatial patterns in diatom
5-1
-------
species composition and their relationships to critical environmental parameters; and (3) use
these relationships to make predictions about community change under different management
scenarios. The specific sampling and analysis procedures were discussed in Chapter 3 Materials
and Methods.
5.2 Periphyton Presence and Growth Form
Periphyton was found at 78 and 49 sites during cycles 4 and 5, respectively. Figures 5.1
and 5.2 show the distribution of periphyton in the 3 different growth forms across the
Everglades. Periphyton aggregations were notably absent or rare in the Rotenberger, Holeylands,
Lox, WCA-2 and WCA3-N. Sites in Everglades National Park (Shark River and Taylor Sloughs)
were dominated by soil-associated benthic mats in the dry season (Cycle 4). During the wet
season (Cycle 5), Taylor Slough was still dominated by benthic mats, while Shark Slough
contained more floating periphyton, some of which was associated with Utriculariapurpurea.
Seasonal and spatial transitions from benthic to floating aggregations are common responses to
variations in water depth and substrate availability (Browder et al. 1982). Periphyton in the
Water Conservation Areas was confined mostly to floating mats and Utricularia, although
benthic communities were found at some sites during the dry season.
5.3 Diatom Species Composition
A total of 104 diatom taxa representing 30 genera were collected during cycles 4 and 5
(Table 5.1). Diatoms with alphanumeric designations (18 taxa) could not be identified after
extensive searches of relevant literature. Representative specimens of each taxon were archived
on permanent slides in our collection, but for troublesome taxa, we also digitally photographed
representative specimens and collected data on taxonomically significant morphometric
characters. This helped to maintain taxonomic consistency and will support future plans for a
more rigorous taxonomic analysis. Another 21 taxa are listed as "unidentifiable" because they
were represented by poor specimens that precluded accurate taxonomic designation. The most
common and widespread taxa were Brachysira neoexilis, Brachysira neoexilis var. 02,
Encyonema ftsp02, Encyonema evergladianum, Fragilaria synegrotesca, Mastogloia smithii,
Navicula radiosafallax, Nitzschiapaleavar. debilis and Nitzschia serpentiraphe. These include
commonly reported periphyton mat species (Browder et al. 1982, Swift & Nicholas 1987,
5-2
-------
Raschke 1993, McCormick & O'Dell 1996), although a variety of nomenclatural techniques
have been applied in Everglades literature, so it is difficult to validate numerous suspected
synonyms. At the generic level the flora is typical of nutrient poor, hardwater, shallow systems,
and includes mostly benthic, rather than planktonic taxa. At the specific level, several of the
dominant species have been considered endemic, and the flora includes an abundance of taxa
restricted to the tropical and subtropical environments (Slate 1991). To determine diatom
distribution patterns and environmental correlates we took both an assemblage and species-based
approach.
5.4 Environmental Associations of Diatom Assemblages
We used the Bray-Curtis dissimilarity metric (D) to measure differences among samples
based on their diatom assemblages. Relationships among sites were then visualized in one
dimension using hierarchical, farthest-neighbor clustering of the dissimilarity matrix. Data from
cycles 4 and 5 were analyzed separately to determine temporal consistencies in compositional
trends, and species abundances were relativized to totals prior to analysis. Five clusters of related
sites (within-cluster D <0.50) could be identified from cluster dendrograms for each cycle
(Figures 5.3, 5.4). Diatom taxa that significantly influenced site assignment to the 5 clusters were
identified using Dufrene & Legendre's (1997) Indicator Species Analysis and are marked in
Table 5.1.
To determine the type and extent of environmental influence on the 5 diatom assemblage
clusters, means of each environmental parameter were calculated among samples in each cluster
and compared to the other 4 clusters using pairwise post-hoc contrasts (adjusting probabilities
for multiple comparisons, P <0.01). Variables that differed significantly between one or more
clusters are shown in Tables 5.2 and 5.3. Two clusters differed in mean latitude and longitude in
both cycles, although the subdivision designations showed little pattern in relation to the cluster
dendrograms. Certain ion measurements, including pH, conductivity, Cl, F, S2" and SO4 differed
among species clusters, particularly during the wet season (Cycle 5). These parameters varied
greatly across the sites sampled for periphyton and, given their influence on cellular processes, it
is not surprising that species would assort along these gradients. Effects of water depth and
associated parameters including soil depth, mineral content, bulk density, and hydroperiod, were
more readily detected in dry than wet season samples. Diatom response to soil TP (and
5O
-------
correlated alkaline phosphatase activity) was also strongest during the dry season. During the
wet season, nutrient (TP, TN) effects were only detected in water column measurements. Two
diatom clusters also differed with respect to methyl mercury concentrated in periphyton tissues
during the wet season. These data have provided the first means of identifying effects of multiple
environmental parameters on diatom species composition. They will be instrumental in the
development of calibration models for predicting compositional change given certain scenarios
of environmental modification.
5.5 Indicator Species
Whereas multi-species assemblage data often provides a more precise measure of
environmental conditions than a single-species approach, trends in the abundances of select
species can be informative if those species are easy to find and are particularly sensitive to a
critical environmental parameter. We classified diatoms collected in this survey as
environmental indicators if they (1) were present in more than 20 % of the sites, (2) had a mean
relative abundance greater than 0.5%, and (3) were significantly correlated with one or more
environmental parameters. Eleven taxa met these criteria; photographs of representative
specimens and relationships to influential environmental parameters are shown in Figures 5.5 to
5.15.
Some of the 11 taxa were sensitive to a number of environmental parameters while others
responded to only one or two. Six taxa showed geographic pattern in their relative abundances.
Encyonema evergladianum, Encyonema egspOl, and Navicula cryptotenella were more abundant
at western sites, Encyonema ftsp02 and Mastogloia smithii were more abundant in the north and
Nitzschia serpentiraphe to the south. These geographic patterns are probably correlated with
underlying E-W and N-S environmental gradients.
Six taxa responded strongly to pH. Fragilaria synegrotesca, Encyonema ftsp02,
Brachy sir a neoexilis, and Nitzschia serpentiraphe were most abundant at sites with pH >7.5,
while Encyonema silesiacum var. elegans and E. microcephala indicate sites with lower pH
(<7.5). Similarly, Brachysira neoexilis, Nitzschia serpentiraphe, Navicula cryptotenella and
Encyonema egspOl were abundant at low conductivity, low chloride sites while Mastogloia
smithii, abundant everywhere, attained highest abundances at the highest conductivity sites. In
general, conductivity and pH are lowest in WCA-1 and highest near canals where limerock has
5-4
-------
been recently exposed. Chloride gradients often parallel conductivity gradients, being highest
near canals and in areas of the northern Everglades that receive seepage from the marine aquifer.
A gradient analysis would likely reveal predictable assortment of these species according to
distance from these ion sources.
Eight taxa can be considered indicators of water depth, and associated parameters such
as soil depth, mineral content, and hydroperiod. Encyonema ftsp02 and Encyonema silesiacum
var. elegans were more common in deep sites and were infrequently encountered at sites that dry
regularly. Nitzschiapalea var. debilis, Encyonema microcephala, Nitzschia serpentiraphe and
Encyonema egspOl were more common in Taylor Slough and in other shallow areas that dry
regularly. Fragilaria synegrotesca was more abundant in sites with high mineral content, yet the
distribution of this taxon in Shark River Slough suggests that it prefers deeper water of longer
hydroperiod than other Everglades taxa (Gottleib, unpubl. data). Together, changes in the
abundances of these taxa might be used to indicate the ecological effectiveness of water level
manipulations. Further studies to define the extent and mechanisms of these effects are
warranted, because diatom response to hydroperiod is poorly understood, particularly for
hardwater wetland assemblages (Gaiser et al. 1998).
In contrast to other surveys in the Everglades, we found relatively few strong taxonomic
responses to nutrient concentrations. This is probably because sites that have been highly
enriched in nutrients for a long time tend to have reduced periphyton communities, and were
therefore excluded from the periphyton survey. Only 7 periphyton sampling sites had water
column TP concentrations in excess of 20 ppb, and most were below 10 ppb, a level considered
ambient for the native Everglades. Two species, E. silesiacum and E. microcephala, were found
in greater abundance in relatively more enriched sites, while Brachysira neoexilis and Nitzschia
serpentiraphe were correspondingly rare at these sites. Most of the species that can be
considered good indicators of nutrient enrichment were not encountered in this study, but their
nutrient optima have been well defined elsewhere (McCormick & O'Dell 1996).
5.6 Conclusions and Recommendations
This study has shown that diatom community analysis can be a useful tool in
environmental monitoring and should continue to be integrated into Everglades assessment
protocols for the following reasons:
5-5
-------
1. Diatoms are ubiquitous in the Everglades yet species have non-random
distributions. Baseline distribution data is now available for use in detecting
environmental change.
2. Diatoms are sensitive to environmental variation. Assemblage and species
responses to spatial variation in ion content, nutrient availability and hydroperiod
have been identified. Temporal models can be built from these spatially explicit
data to predict community change under different management scenarios with a
measurable degree of accuracy.
3. Diatoms respond quickly to environmental change. Unlike many other biotic
indicators, changes in diatom assemblage composition can happen over very short
time scales (days to weeks) and, therefore, can provide sensitive early warning
signals of impending ecosystem change.
4. The taxonomic reference base generated from this survey will increase efficiency
of future diatom inventories. Many surveys exclude diatom analyses because of
perceived technical difficulties in collection and assessment. While this may have
been the case at one time in the Everglades, currently available taxonomic
databases should substantially reduce allocation of time and resources to
identification. There are fewer species of diatoms in the Everglades than vascular
plants so their identification is no more of a task than more commonly employed
vegetation monitoring. Given currently available reference materials, lack of
technical expertise in this field is no longer a viable argument against diatom
assessments, especially given their potential in environmental monitoring.
Because this is the first broad survey to incorporate diatom assessments, the data provide
several suggestions for future monitoring efforts, including:
1. Future assessments of diatom community composition should be accompanied by
measurements of TP sequestered in the periphyton mat. Difficulties in this study
in detecting species responses to nutrient gradients are, in part, due to the lack of
a measure of nutrient availability that integrates the appropriate time scale.
Diatom communities do not strongly reflect local water column nutrient
concentrations because of luxury uptake of nutrients and because of the
variability inherent in water column concentrations (Gaiser et al., submitted ms).
Even less likely is a response to soil nutrients, which are often recalcitrant and
reflect a much longer period of accumulation than the life histories of these
organisms. Mat tissue phosphorus concentration is perhaps the most reliable
measure of nutrient availability on a weekly or monthly time scale (Gaiser et al.,
submitted ms).
2. Further studies of diatom response to water depth and hydroperiod are warranted.
This and other concomitant studies (Gaiser et. al., submitted ms) are the first to
show a strong response of diatom assemblages to hydroperiod, a critical
5-6
-------
environmental parameter that is a fundamental component of most restoration
programs. Certain diatoms may provide a very accurate assessment of the success
of hydrologic restoration. This study suggests hydrologically sensitive species
that should be the target of more explicit survey or experimental studies. These
efforts are especially critical because of the lack of general knowledge of the
response of wetland diatom assemblages to water depth change.
3. Interpretations of environmental change based on diatom assessments must not
ignore the fact that a given diatom assemblage reflects a suite of correlated
environmental parameters. This study shows that diatoms respond very strongly
to pH and conductivity, two parameters that are often correlated with nutrient
availability in this system. Experiments that control for the effects of these
environmental correlates could clarify interpretations of environmental change
based on descriptive data from diatom surveys.
4. In the future, collections should include scrapings of periphyton from any
available surface at all sites. Periphyton tends only to be abundant in unimpacted
areas of the Everglades, because of the detrimental effects of excess nutrients on
mat integrity. However, reduced communities exist in enriched areas (ie., on
stems of cattail, in benthic muds) that can contain a very different assemblage of
species than neighboring unimpacted areas. Samples from these diatom
communities can provide extreme values for developing more generally
applicable diatom-based nutrient indexes. Also, because fossil diatoms are
retained in wetland sediments, knowledge of species responses along the full
length of existing environmental gradients are necessary for retrospective
analyses of change.
5-7
-------
Table 5.1. Diatom taxa collected during 1999 REMAP sampling and their associated mean
relative abundance (percent), frequency of occurrence (of 153 sites) and cluster
group affiliation from sample cycles 4 and 5. Diatoms having a significant
(p<0.05) cluster affiliation are designated with an *.
Taxon
Achnanthidium lanceolata Breb.
Achnanthidium minutissima Kiitz.
Achnanthidium minutissima var. scotica
(Carter) L-Bert.
Amphora avails (Kiitz.) Kiitz.
Amphora sulcata A. Schmidt
Amphora veneta Kiitz.
Aulacoseira islandica O. Mull. Simon.
Brachysira brebissonii Ross
Brachysira neoexilis L.-Bert.
Brachysira neoexilis L.-Bert. var. 01
Brachysira serians (Breb.) Round & Mann
Caloneis bad Hum (Grun.) Cl.
Colonels macedonica Hust.
Caponea caribbea Podz.
Craticula cuspidata (Kiitz.) Mann
Cyclotella meneghiniana Kiitz.
Desmogonium rabenhorst var. elongatum Patr.
Diploneis oblongella (Naeg.) Cl.-Eul.
Diploneis parma Cl.
Encyonema egspOl
Encyonema ftspO 1
Encyonema ftsp02
Encyonema sjspOS
Encyonema ftsp04
Encyonema evergladianum Krammer
Encyonema microcephala Grun. ex. V.H.
Encyonema pusilla (Grun.) Cl.
Encyonema silesiacum (Bleisch ex. Rabh.)
Mann
Encyonema silesiacum var. elegans (Bleisch)
Mann
Eunotia flexuosa (Breb.) Kiitz.
Eunotia incisa Greg. var. 01
Eunotia monodon Ehr. var. 0 1
Eunotia naegeli Migula
Fragilaria ctspO 1
Fragilaria ctsp02
Fragilaria nanana L.-Bert.
Fragilaria synegrotesca L.-Bert.
Frustulia rhomboides var. crassinervia (Breb.)
Ross
Relative
Abundance
0.01
0.01
0.44
0.01
0.96
0.01
0.01
0.34
3.14
1.36
0.03
0.02
0.01
0.02
0.03
0.12
0.01
0.21
1.59
0.74
0.37
4.47
0.41
0.01
22.55
1.20
0.02
0.01
0.68
0.12
0.14
0.04
0.05
0.02
0.01
0.18
11.50
0.34
Frequency
1
3
65
1
29
1
1
20
137
96
4
4
1
9
3
42
1
36
95
24
65
144
50
5
145
97
1
6
34
39
21
8
10
3
4
31
149
27
Cycle 4
Cluster
3
3*
1
3
4*
4
2
4
2
1
5*
5
5*
2
1
4*
4*
5*
5*
5
4
3*
4
3*
5*
Cycle 5
Cluster
3
3
3*
2
4
4*
4
3
1
1
3
1
4
4
3
4
4*
3
4
2
5*
4*
4
5*
5
4
3
1
4
5*
1
1*
4
-------
Table 5.1 continued
Taxon
Gomphonema acuminatum Ehr.
Gomphonema affme Kiitz. var. 01
Gomphonema davatum Ehr.
Gomphonema gracile Ehr.
Gomphonema parvulum (Kiitz.) Kiitz.
Gomphonema egspO 1
Gomphonema sdspO 1
Hantzschia amphioxys (Ehr.) Grun.
Luticola mutica (Kiitz.) Mann
Mastogloia lanceolata Thwaites ex.. W. Sm.
Mastogloia smithii Thwaites
Navicula brasiliana Cl. var. 01
Navi cula cryptocephala var. exilis (Kiitz.)
Grun.
Navicula cryptotenella L.-Bert.
Navicula cutiformis Grun.
Navicula cryptolyra Brock.
Navicula digitoradiata (Greg.) Ralfs
Navicula radiosafallax L.-Bert.
Navicula subtilissima Cl.
Neidium ampliatum (Ehr.) Krammer
Neidium floridanum Reim.
Nitzschia amphibiodes Hust.
Nitzschia amphibia Grun.
Nitzschia amphibia var. elongata Grun.
Nitzschia intermedia Hantz.
Nitzschia lacunarum Hust.
Nitzschia nana Grun.
Nitzschia palea (Kiitz.) W. Sm.
Nitzschia palea var. debilis (Kiitz.) Grun.
Nitzschia scalaris (Ehr.) W. Sm.
Nitzschia semirobusta L.-Bert.
Nitzschia serpentiraphe L.-Bert.
Nitzschia serpentiraphe L.-Bert. var. 01
Pinnularia acrosphaeria Rabh.
Pinnularia gibba Ehr. var. 0 1
Pinnularia maior Boyer var. pulchella
Pinnularia microstauron (Ehr.) Cl.
Pinnularia rupestris Hantz. var. 01
Pinnularia streptoraphe Cl. var. 01
Pinnularia viridis (Nitz.) Ehr.
Rhopalodia gibba (Ehr.) O. Mull.
Rhopolodia musculus (Kiitz.) O. Mull.
Sellaphora laevissima (Kiitz.) Round
Relative
Abundance
0.03
0.44
0.20
0.01
0.11
0.02
0.18
0.01
0.01
0.02
34.03
0.01
0.01
0.75
0.01
0.01
0.01
0.78
0.25
0.01
0.01
0.03
0.24
0.71
0.01
0.01
0.09
0.46
3.17
0.01
0.01
2.11
0.32
0.02
0.08
0.02
0.33
0.03
0.02
0.01
0.13
0.01
0.24
Frequency
6
86
34
1
4
4
31
4
3
8
149
1
3
76
1
1
4
89
35
3
1
5
37
19
3
3
7
26
143
1
2
122
26
4
15
9
14
5
5
1
10
1
66
Cycle 4
Cluster
5*
5*
4
4
4
1*
1*
5*
2
4
5
4*
4
3
1
3
2
4*
2*
1
1
1
1*
4
Cycle 5
Cluster
4
4
5
1
5
1
3
2*
4
2
3
5
4
2
5
5
2
2
3
1
2
3
2
4
2
1
3
2
2
3
5-9
-------
Table 5.1 continued
Taxon
Sellaphora pupula (Kiitz.) Round
Stauroneis anceps var. subrostrata Gaiser &
Johansen
Stauroneis phoenicentron (Nitzsch.) Ehr.
Stenopterobia curvula (W. Sm.) Krammer
Achnanthes unidentifiable
Amphora unidentifiable
Anomoneis unidentifiable
Aulacoseira unidentifiable
Brachysira unidentifiable
Caloneis unidentifiable
Cydotella unidentifiable
Diploneis unidentifiable
Encyonema unidentifiable
Eunotia unidentifiable
Fragilaria unidentifiable
Gomphonema unidentifiable
Hantzschia unidentifiable
Navicula unidentifiable
Nitzschia unidentifiable
Pinnularia unidentifiable
Rhopalodia unidentifiable
Stauroneis unidentifiable
Stephanodiscus unidentifiable
Unidentifiable valve
Unidentifiable girdle
Relative
Abundance
0.33
0.01
0.01
0.01
0.01
0.01
0.01
0.01
0.13
0.01
0.08
0.11
1.79
0.14
0.01
0.57
0.01
0.10
0.12
0.40
0.01
0.01
0.01
0.03
0.05
Frequency
5
1
6
1
1
4
1
3
11
2
21
29
114
27
3
79
1
22
13
35
1
1
1
8
5
Cycle 4
Cluster
2
4
Cycle 5
Cluster
4
3
4
5-10
-------
Table 5.2.
Means of environmental parameters for sites with diatom assemblage clusters 1-5
identified from Bray-Curtis, farthest-neighbor distance analysis of relative
abundances of diatom taxa collected during Cycle 4. Only environmental
parameters that differed significantly among clusters are shown. Highest and
lowest mean values among the 5 clusters are shown in boldface type for each
parameter. Numbers in superscript designate clusters with significantly higher or
lower values than the given mean.
Cycle 4
Diatom Cluster
Latitude
(Decimal)
Longitude
(Decimal)
pH
Conductivity
(MS)
Water Depth
(m)
Soil Depth
(m)
Cl (water)
(mgl-1)
TP (soil)
(MRS1)
AP (floe)
(//mole g"1)
Mineral content
(% in floe)
Bulk density
(g cm'3)
Hydroperiod
(dry season)
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
1
26.12 234 5
0.14
-80.48 2A4'S
0.07
7.33
0.22
687.20 5
138.79
0.21
0.15
1.08 3
0.42
74.60 4<5
8.23
197.62
185.70
79.10
92.06
56.49 2 3
29.20
0.32 2 3
0.15
3.29 5
1.38
2
25.81 l
0.29
-80.62 li5
0.15
7.32
0.37
632.88s
214.71
O.ll3
0.15
0.70
0.48
68.33
48.70
216.86
114.32
82.45 3
62.64
19.74 l
18.60
0.12 l
0.07
3.92s
2.17
3
25.74 l
0.26
-80.65 l
0.16
7.48 4's
0.26
700.30 s
118.80
0.24 2 4
0.13
0.56 l
0.36
90.55 4 s
35.22
238.32 4
64.55
18.71 2 s
21.21
26.72 l
12.81
0.15 l
0.04
4.17s
1.53
4
25.60 l
0.34
-80.72 l
0.11
7.12 3
0.01
480.50
47.38
0.08 3
0.14
0.70
0.39
27.00 u
24.02
148.42 3
87.30
34.98
24.99
30.36
38.34
0.20
0.19
3.57s
1.90
5
25.81 l
0.20
-80.77 l
0.05
7.15 3
0.22
343.75 1'2-3-4
86.99
0.19
0.12
0.76
0.95
27.89 u
13.14
256.89
148.45
57.55s
35.24
24.41
22.87
0.15
0.09
5.90 J'2A4
1.29
5-11
-------
Table 5.3.
Means of environmental parameters for sites with diatom assemblage clusters 1-5
identified from Bray-Curtis, farthest-neighbor distance analysis of relative
abundances of diatom taxa collected during Cycle 5. Only environmental
parameters that differed significantly among clusters are shown. Highest and
lowest mean values among the 5 clusters are shown in boldface type for each
parameter. Numbers in superscript designate clusters with significantly higher or
lower values than the given mean.
Cycle 5
Diatom Cluster
Latitude
(Decimal)
Longitude
(Decimal)
PH
Conductivity
(MS)
Water Depth
(m)
SO4 (water)
(mgl-1)
TOC (water)
(mgl-1)
TP (water)
(MS I'1)
TN (water)
(mgl-1)
Cl (water)
(mgl-1)
F (water)
(mgl-1)
H2S (porewater)
(mg S2-1-1)
MeHg (PUF)
(MS kg1)
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
Mean
SD
1
25.89
0.37
-80.62
0.15
7.74
0.45
492.38
269.40
0.80 3
0.23
14.10
21.68
20.11 3'4
9.87
7.09 3
3.14
0.80 3'4
0.31
47.88
41.03
0.24
0.18
0.67
1.54
2.78
1.44
2
26.03 3 4
0.26
-80.59
0.15
7.69
0.27
548.50 3 4
231.66
0.75
0.24
19.68 34
16.47
22.57 3'4
7.83
7.43 3
3.16
0.96 3 4
0.34
52.88 3 4
24.00
0.29 4
0.17
0.51 2
0.62
5.59 3
0.82
3
25.71 2
0.23
-80.67
0.18
7.73
0.29
341. 00 2
128.55
0.55 l
0.20
2.50 2
2.57
13.04 u
4.16
5.11 12
0.77
0.65 l'2
0.27
26.34 2
17.63
0.17
0.16
0.10 2 5
0.06
1.97 2
0.83
4
25.62 2
0.31
-80.67 5
0.12
7.85s
0.32
297.64 2
77.18
0.57
0.43
3.03 2
6.05
11.36 u
4.64
5.48
1.18
0.48 u
0.18
18.35 2
8.67
0.10
0.05
0.14
0.22
3.66
1.45
5
25.80
0.41
-80.53 4
0.03
7.52 4
0.34
452.00
194.13
0.74
0.43
7.26
10.25
14.88
5.35
5.52
0.70
0.49
0.19
33.33
20.79
0.18 2
0.13
1.17 3
1.82
2.47
2.33
5-12
-------
PERIPHYTON PRESENCE
MAY 1999
^ n
*
*
X •«.
%
t + *
+ +
*
J
/
UTRICVLAHIA
* BOIt
•t-MAT
PERIPHYTON PRESENCE
SEPTEMBER 1999
Figure 5.1. Distribution and substrate Figure 5.2. Distribution and substrate
associations of periphyton during associations of periphyton
sample Cycle 4. during sample Cycle 5.
-------
Distance (Objective Function)
2.1E+00
Cluster
Information Remaining (%)
50
1
2
3
. .
4
5
4E545 -| | '
4PWB J '
4S524 ,
4S543 1 '
4S528 1
4S598 1
4S542 1
4M539 1 1
4S580 n
4bb41 -I I .
4SRHR 1
4S595 1
4S607 ,
4S591 1
4M5B8 1
4E538 i_
4M566 -H
4E555 J |
4E553 1
4M^4 h
4M552 1 U
4M547 1 T
4S618 —i 1 1
4E550 -1
tuna* 1 1
4M582 1
4E567 — il 1
4E571 — r-
4M558 1 |— 1
4S584 1
4SB03 1 1
4S619 I
4S533 1
4S601 i 1 1
4Mfim I I 1
4M572 1
4S597 1
4S547 1
4M575
4S585 .
4S544 1
49FOT 1 1
4S596 1 1
4S621 1 1
4M577 1 '
4S592 .
4S615 . 1
4IUfob9 1
4E551 1 1
4E569 1 1 '
4M557 1
4E573 .
A^^7^ ' 1
4E574 1
Figure 5.3. Cycle 4 cluster dendogram.
-------
2E-03
7.6E-01
Distance (Objective Function)
1.5E+00
2.3E+00
3E+00
Cluster 100
75
Information Remaining (%)
50
25
S636
S716
S731
S652
S697
S711
S724
S651
S647
S654
S662
S670
S702
S703
S710
S665
S661
S712
S682
S741
S701
S684
S714
S689
S719
S720
S695
S725
S696
S700
S745
S706
S709
S718
S740
S671
S677
S744
S727
S735
S679
S722
S704
S743
S746
S729
S674
S681
S742
Figure 5.4. Cycle 5 cluster dendogram.
-------
0.25
0.2
T3
I 0.15 -|
£ 0.1
| 0.05 H
0.25
6.5
7.5
pH
dance
Relative Ab
20 40
TP (water, ug/1)
„ 0.25
o
! O-2 "
"O
| 0.15
-------
| 0.08-
| 0.06-
£ 0.04-
1 0.02-
o -
-8
u 0.1-
o
| 0.08-
g 0.06-
£ 0.04-
1 0.02-
^ o -
(
o 01-
O w.±
-1 0.08 -
J 0.06-
JB 0.04-
:i 0.02-
PS n <
••
•
• • •
i 1 lit** ,n
o
3
>
1
1.2 -81 -80.8 -80.6 -80.4 -80.2
Decimal Longitude
•
*
•
o
JO
>
'M
) 500 1000 1500
Conductivity (uS)
•
•
^ti. .••I,. •, - .. •
U.I ^
0.08* •
0.061'
0.04 4l * •
0.02- • J
IL -•^rn^-jm. -
0 0.5 1 1
Water Depth (m)
01
.1
0.08 J'
0.06- •
0.04 -*•
0.02- \ *
012345
Soil Depth (m)
50 100 150 200
Chloride (mg/1)
250
Figure 5.6. Relationships of £". egspOl to influential environmental parameters.
5-17
-------
8 °-8
"s °-6H
.£3
< 0.41
u
I 0.2 H
^
C4 n
-• *-
• •»,
•• •
-81.2 -81 -80.8 -80.6 -80.4 -80.2
Decimal Longitude
8 0-8
| 0.6
.£3
< 0.4-
u
1 0.2
0
6.5
* •r
-» • •«!-
.*«% *
7.5
pH
8.5
Pi
-------
8
a
jz
0.3
0.25
0.2 H
0.15
0.1
0.05-1
0
25
*• • V*** *
25.5 26
Decimal Latitude
26.5
0.3
0.25 i
0.2-
0.15 -
0.1 :
o
•S 0.05
* o
hiiiui
0246
Estimated Dry Season Hydroperiod
1)
O
0.25-
0.2-
0.15-
0.1 -
0.05-
0 —
6.5
7.5
pH
0.1 0.2 0.3 0.4
Estimated Bulk Density (g/cc)
0.5
Figure 5.8. Relationships ofE.ftsp02 to influential environmental parameters.
5-19
-------
0.12
200 400 600
TP (soil, ug/g)
800
50
100
150
Mineral Content (% in floe)
Figure 5.9. Relationships of E. microcephala to influential environmental parameters.
5-20
-------
o
3
.£3
1)
1)
O
C^
§
.£3
>
1
U.13
o.i -
0.05-
* *
•
o
1
^
1)
u
6.5 7 7.5 8 8.5
pH
fli
0.15 -
o.i -
0.05 -
• •
• •
*
& «i A A _
o
§
^
u
'"§
2
U.13
o.i -
0.05-
••
• «
0 200 400 600 800
TP (soil, ug/g)
0.14-1
0.12-
0.1 -
0.08-
0.06-
0.04-
»•
•
0.02 ^ • •
n B •• • • •• ••• •• • — • — ,
0246
Dry Season Hydroperiod Estimate
20 40
AP (floe, umole/g)
60
Figure 5.10. Relationships ofE. silesiacum to influential environmental parameters.
5-21
-------
o
T3
3
u
J3
u
o
§
T3
f>
<
1)
'•§
2
u.o
0.5 -
0.4-
0.3 -
0.2-
o.i -
•
•
. .•%* ' . * •
' I •
1 --I - 1
6.5 7 7.5 8 8
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5-23
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5-25
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5-26
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6.0 LANDSCAPE PATTERNS
Understanding large-scale and landscape patterns is critical for managing the South
Florida Everglades ecosystem to achieve restoration goals. Information from this Project can be
used to describe the ecological conditions and patterns over this large 5,500 km2 area.
Historically, the South Florida Everglades ecosystem was one continuous marsh. Today dikes,
levees, roadways, urban development and other landscape features alter water flow, habitat,
nutrient loading and the corresponding ecological conditions. Some of the subareas created by
these features are apparent, e.g., Loxahatchee National Wildlife Refuge, Water Conservation
Areas 2 and 3, and Everglades National Park.
Alligator Alley (1-75) and Tamiami Trail (US Hwy 41) both bisect the South Florida
ecosystem and create barriers to flow. During the Phase I Project, three subareas were identified
based on these barriers and the patterns in water chemistry, soil constituents, and biotic mercury
concentrations. These three subareas were north of Alligator Alley, between Alligator Alley and
Tamiami Trail, and south of Tamiami Trail in Everglades National Park.
Seven subareas have been identified as being important for management in this Phase II
Project. These seven subareas are: (1) Loxahatchee National Wildlife Refuge (Lox); (2) Water
Conservation Area 2 (WCA2); (3) Water Conservation Area 3 North of Alligator Alley
(WCA3-N); (4) the southeastern part of Water Conservation Area 3 (WCA3-SE); (5) the
southwestern part of Water Conservation Area 3 (WCA3-SW); (6) Shark River Slough; and
(7) Taylor Slough (Figure 1.1). The flow path and water quality patterns in Water Conservation
Area 3 south of Alligator Alley are clearly demarcated into east and west patterns. In addition,
the patterns in biotic mercury concentrations reflect these flow paths. The area south of Tamiami
Trail is hydrologically divided with Shark River Slough being distinct from Taylor Slough.
Because of these natural and artificial barriers to flow in the system, different landscape patterns
develop throughout the system. These landscape patterns are discussed in this Chapter.
6.1 Water Regime
The South Florida Everglades is a hydrologically-driven ecosystem. In addition to
precipitation, discharge through the structures and canal system affects the hydrologic regime.
6-1
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6.1.1 Precipitation
Precipitation records for nine stations within and bordering the South Florida Everglades
ecosystem were analyzed during Phase I to determine the relation of the Phase I years to the long
term period of record (Figure 6.1). These records were extended through 1999 so the 1999
sampling year could be compared with both Phase I and the long-term period of record
(Table 6.1). The total volume of precipitation during 1999 was similar to other years, but the
distribution of the rainfall throughout the year was skewed even more than the norm. Typically,
80% of the precipitation in South Florida occurs during the summer wet season, from June
through October. The 1999 dry season was quite dry with fires burning about 40% of the
northern portion of WCA3. However, the 1999 wet season received precipitation volumes
similar to 1995, which was a wet year.
6.1.2 Water Depth
The pattern in precipitation is reflected in the water depth distributions throughout the
marsh in 1999. Water depth cumulative distributions for the Phase I and II seasons indicated that
the 1999 dry season had the shallowest water depths for any of three years, while the 1999 wet
season had some of the deepest water of any of the three years (Figure 6.2). The median water
depths for the 1999 dry and wet seasons were 0.0 and 0.64 m, respectively. The range of
hydrologic conditions captured during Phase I and II is relatively broad, and provides a solid
baseline for determining whether future changes are due to alternative management practice or
are within the expected range of hydrologic conditions (Figure 6.2).
The spatial variability in water depth that occurred within the different subareas is shown
in Figures 6.3 to 6.5. The areas that were consistently wet during the dry season were in the
central portion of WCA3 (Figure 6.3). Sampling occurred during April 1995 rather than May
(Figure 6.5), so these water depths were not included in Figure 6.3 to maintain comparability.
Lox and WCA2 had lower median water depths and greater variability in water depth than the
central area of WCA3, but were wet during the dry season. WCA3-N, and Taylor Slough were
essentially dry during May 1996 and 1999, with very shallow water depths (<0.02 m) in those
areas that retained water. Shark River Slough did have areas that were dry during 1996 and 1999,
and had a median water depth of about 0.05m.
6-2
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There also were spatial differences in subarea water depths during the wet seasons in
1995, 1996, and 1999, but the entire marsh was wet (Figure 6.4). The greatest water depths again
occurred in the central portion of WCA3 with significantly lower water depths in Shark River
and Taylor Slough than in the areas north of Tamiami Trail. In addition, there was no significant
difference in water depth distributions among the three years.
The temporal variability in water depths is apparent by comparing May with September
water depths. The long-term temporal range in water depth (minimum, maximum) is indicated
for selected gaging stations in four of the seven subareas in Figure 6.6. The longest period of
record was 47 years for Station P33. The water depths at sampling stations in the immediate
proximity of these gages are shown for both the dry and wet seasons in 1995, 1996 and 1999.
While there is considerable temporal variability, the Phase I and II dry season water depths are
within the long term range for water depths, in these subareas. During the wet season, however,
some of the Phase I and II water depths were outside the maximum range previously recorded
for the station. In general, considering both spatial and temporal variability, the Phase I and II
hydrologic regime spans the historical range of water depths and should provide an adequate
baseline for detecting future changes and trends in ecological condition associated with
management actions.
The flow path through the marsh system is apparent by considering the spatial
distribution of water depth throughout the system (Figure 6.5). Water is discharged from the
Everglades Agricultural Area into the canals. Seepage water from the canals enters any of the
marsh areas that border the canals (e.g., Loxahatchee National Wildlife Refuge) or through
which the canals flow (e.g., WCA3-SE). The general flow path through the marsh is along the
eastern side of the system from WCA2 through WCA3-SE and down Shark Slough to Florida
Bay. This flow path, based on water depth, is corroborated in subsequent sections of this chapter
by considering spatial patterns in conductivity, chloride and other constituents in the system.
The water depth intervals shown in Figure 6.7 correspond to the hydroperiod ponding
depth classes predicted by the South Florida Water Management Model (SFWMM). The May
and October average ponding depth classes predicted by the SFWMM for the period of record
(FOR) from 1965 through 1995 are shown in Figures 6.8 and 6.9. The May 1996 water depths
are generally comparable to the average FOR ponding depths, while May 1999 is significantly
drier than the May average FOR ponding depths. September 1995 had water depths that also
-------
were similar to the average FOR ponding depths for October (September depths were not
available). September 1999 had ponding depths that were significantly greater than the October
FOR average ponding depths (Figure 6.9). Thus, 1999 represented both an exceptionally dry
season and an above average wet season.
Because the sampling design was based on a systematic, probability sample survey, there
was a relatively uniform distribution of sites throughout the system. A systematic distribution of
points is particularly advantageous when using spatial statistical software such as SURFER and
ARCVIEW. In addition, the probability samples permit estimates of the surface area associated
with each sampling site. The measurements taken at sites were used to characterize conditions,
including water depth, for the entire 5,500 km2 area. Using the mean depth computed for the
areas inundated during the dry seasons from 1995 to 1999 and the wet season in
September 1996, water volumes were estimated for each season (i.e., volume = mean depth
multiplied by surface area).
Examination of stage duration curves for gages located in southern WCA3 and northern
Shark Slough indicated about 5 inches of water were ponded behind (i.e., north) Tamiami Trail
during the 1999 dry season. A surface water volume to surface area curve for the ecosystem was
developed using GIS techniques for the four driest sampling cycles. A fifth point to estimate the
loss of ponding in the system was determined by subtracting 5 inches from the dry 1999 water
levels (Figure 6.10). The curve illustrates the very large surface area to volume ratio
characteristic of this ecosystem. It also indicates that the 5,500 km2 ecosystem is covered with a
surface water volume of about 2.9 x 109 m3. Under extreme drought conditions, the surface water
volume in the marsh declines to about 0.5 x 109 m3. Elimination of ponding in the system would
result in an additional dry area of about 400 km2 of present slough habitat. The long and
intermediate hydroperiod area of the marsh occupied about 4,200 km2 with an associated volume
of 1.5 x 109 m3. To inundate the additional 1,300 km2 of marsh required an equivalent volume of
water even though the surface area was about one-third of the longer hydroperiod marsh.
Hydroperiod management to sustain ecological resources will require substantial
quantities of water to maintain minimum habitat coverage during the dry seasons, while the short
hydroperiod portion of the marsh beyond 4,200 km2 will most likely remain dependent on the
wet season rainfall. Due to the present system of levees and canals, ponding in the system
occurred primarily in WCA3-SW, WCA3-SE and NE Shark Slough with smaller areas along the
6-4
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southern reaches of Lox and WCA2 (Figure 6.11). The surface areas of inundation illustrated
show the area without ponding
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6.2.1 pH
An ANOVA of the Phase I and II wet season data for the whole ecosystem showed a
significant (p = 0.001) increase in the pH in 1999 (Table 6.3). The median pH of the Everglades
ecosystem was consistently greater than 7 su in every subarea except Lox, which was
significantly lower at about 6.5 su or less during all cycles (Figure 6.12). An increasing gradient
in pH was evident during the 1995-96 wet cycles, ranging from a median in WCA2 of 7.13 to
7.68 su in Taylor Slough (Table 6.2). The wet season median gradient in 1999 was consistent at
about 7.4 su from WCA2 to WCA3-SW, significantly increasing to medians of 7.8 su in Shark
River and Taylor Slough (Figure 6.12). These down system increases in pH reflect the increase
in marl versus peat in Shark River and Taylor Sloughs. Downstream pH gradients during the dry
sampling cycles were less evident (Figure 6.13). However, all subareas south of Lox remained
above pH 7. There was limited influence of low pH water from Lox on the downstream marsh in
WCA2 due to the interception and transport of water out of the system by the Hillsboro Canal
and the weak acidity in Lox. The acidity of Lox may result from the greater depth of peat, which
is predominant in the subarea, and from Lox being a precipitation dominated, weakly buffered
system. The peat depths in subareas to the south decline and marl increases resulting in more
contact of surface water with the underlying bedrock that produces higher pH values.
6.2.2 Conductivity
Conductivity in the dry season was significantly higher than during the wet season due to
the concentrating effect of evaporation and low flow through the system. A downstream gradient
from WCA2 to Taylor Slough was apparent during all cycles. During the wet seasons the median
concentrations ranged from 684 and 659 //S/cm in WCA2 to 294 and 254 //S/cm in the Taylor
Slough for 1995-96 and 1999, respectively (Table 6.2). The concentrations during both phases of
the study were significantly lower in WCA3-SW, and Shark River and Taylor Sloughs than the
three subareas immediately upstream, where the greatest changes occurred (Figure 6.12). Lox
was least impacted by agricultural runoff waters and consistently had median concentrations less
than 301 //S/cm, which occurred during the extreme 1999 dry season (Figure 6.12). The Lox
subarea is dominated by rainfall and water flow from the center toward the perimeter. However,
the canals surrounding Lox change the water quality around the perimeter of the refuge. The
spatial plots (Figure 6.14) of conductivity in the marsh define a predominant flow path of water
6-6
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down the east side of the ecosystem. Maximum concentrations of over 1000 //S/cm were flowing
into WCA2 from the Hillsboro Canal during each of the wet seasons. Concentrations above
400 //S/cm define a footprint across subareas WCA2, WCA3-N, and WCA3-SE. Large areas of
intermediate conductivity (<400 //S/cm) predominated in WCA3-SW, Shark Slough and Taylor
Slough. Lowest conductivities (<200 //S/cm) in the system consistently occurred near the center
of Lox and WCA3-SW. A well defined gradient (Figure 6.14) occurred across the seven
subareas during each wet season and the "wet" dry seasons sampled in 1995 and 1996. During
the extreme dry down in 1999, however, when surface flow through the system was interrupted,
the highest conductivity (median =1417 //S/cm) occurred along the southern edge of WCA2 and
WCA3-N. These high values are likely to have resulted from the remnant flow of water into the
system from the EAA and shallow ground water drainage into the declining surface water pool.
An ANOVA showed that there was no significant difference in conductivity measurements over
the entire system between Phase I and Phase II wet seasons (p = 0.97) (Table 6.3).
6.2.3 Chloride
Chloride concentrations in surface water were measured during the 1999 surveys. The
dry season concentrations were significantly higher in WCA2 and WCA3-N than in the wet
season (Table 6.2). Dry season concentrations ranged from medians of 150 mg/L in WCA2 to
34 mg/L in WCA3-SW. Southern Lox was also relatively low with a median of 43 mg/L. Wet
season concentrations described a strong gradient through the system following the flow path
down the east side of the system from a median of 80 mg/L in WCA2 tol 1 in Taylor Slough
(Figure 6.12). WCA3-SW, Shark Slough, and Taylor Slough had significantly lower medians of
12, 16 and 11 mg/L, respectively, than the immediate upstream subareas (Figure 6.12). The
surface water chloride pattern indicates that the center of Loxhatchee, WCA3-SW and Taylor
Slough were the subareas in the system during the 1999 wet season with concentrations less than
20 mg/L (Figure 6.15). During the wet season it was apparent that most of the chloride was
entering the system from the Hillsboro and upper Miami canals in WCA2 and WCA3-N
following the flow path down the east side of the system into Shark Slough (Figure 6.15).
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6.2.4 Sulfate
Comparison of the sulfate data is affected by the minimum detection limit of 2 mg/L
during Phase I. In Phase II, however, the minimum detection limit was 0.05 mg/L (Figure 6.16).
Much of the southern 2/3 of the system had sulfate water concentrations at less than 2 mg/L. The
footprint of sulfate across the marsh is particularly striking with median concentrations ranging
from 23 to 44 mg/L (Table 6.2) in WCA2 and near the Miami Canal in northern WCA3-N
(Figure 6.17). The median concentrations in the northern four subareas were not significantly
different from Phase I to Phase II (Figure 6.16). The southernmost subareas (WCA3-SW, Shark
Slough and Taylor Slough) had significantly lower medians (<1 mg/L) in 1999 than in 1995-96
due to a reduction in detection level. A significant decline in large amounts of available sulfate
occurred across WCA2, WCA3-N and WCA3-SE and very low concentrations (<1 mg/L)
occurred in the lower three subareas of the ecosystem. An ANOVA of the Phase I vs II wet
season systemwide data (Table 6.3), however, indicated there was not a statistically significant
difference between the two Phases (p = 0.28). Strong gradients were evident extending down the
east side from WCA2 and WCA3-N to WCA3-SE during each cycle, with the lowest sulfate
concentrations in WCA3-SW, and Shark River and Taylor Sloughs. WCA3-SW was relatively
uncontaminated by sulfate during each sampling Cycle and represents a part of the system least
affected by storm water runoff. The dry season sample in May 1999 had a median concentration
of 56.5 mg/L in WCA3-N, which may have resulted from the extreme drought and associated
wildfire that occurred in this area 2 weeks prior to sampling. The surface water sulfate gradient
in the wet season 1999 did not impact most of WCA3-SW west of a north-south line from the
intersection of 1-75 and Miami Canal (Figure 6.17). All of the area east of this line (WCA3-SE)
was impacted with excess sulfate ranging from 10 mg/L in the north to 1 mg/L in the south.
Excess sulfate concentrations from 2 to <1 mg/L extended down Shark Slough (Figure 6.17).
Background concentrations at less than 2 mg/L were consistently found in the center of Lox.
However, there were sharp sulfate gradients from the center toward the surrounding canals,
where sulfate concentrations reached 30 mg/L. The source of sulfate is associated with the
agricultural runoff water entering the system (Orem et al. 1999, 2000), as is the case with
conductivity and chloride. It has not, however, been conclusively determined whether the
entrainment of connate seawater from underground cavities also contributes to higher constituent
concentrations during pumping at S5, 6, 7, and 8.
6-8
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6.2.5 Sulfide
Sulfide in surface water was measured in Phase II following development of the syringe
sampling and preservation method. Therefore no comparison can be made with Phase I. Dry
season surface water sulfide concentrations were significantly higher than wet season
concentrations (Figures 6.16, 6.18). However, the foot print across the marsh with remaining
surface water showed a dry season pattern in WCA3-SE and WCA3-SW that may have been
influenced by the L-67 canal. A median concentration of 0.21 mg/L occurred in WCA2, but
median concentrations were 0.06 mg/L or less in all other subareas (Table 6.2). September 1999
wet season median concentrations were 0.01 mg/L in all subareas except Taylor Slough, which
was less than the 0.007 (detection level). Low level surface water sulfide patterns were more
prevalent in the northern 2/3 of the ecosystem. Most of Shark and Taylor Slough subareas were
below the detection level of 0.007 mg/L (Figure 6.18).
6.2.6 Total Organic Carbon
There was no significant wet season change (p = 0.99) in the systemwide TOC
concentrations from Phase I to Phase II. Wet season concentrations ranged from median
concentrations of about 30 mg/L in WCA2 to around 8 mg/L in Taylor Slough (Figure 6.16).
Dry season concentrations were higher with a maximum concentration in WCA3-N during dry
1999 of 45.98 mg/L (Table 6.2) which may have been a result of the wildfire that burned this
subarea 2 weeks before sampling. The TOC gradient emanated from the North New River Canal
into WCA2 and the Miami Canal in WCA3-N and followed the flow path down the east side of
the ecosystem during the wet seasons (Figure 6.19). Taylor Slough had the lowest TOC
concentrations with less than 8.6 mg/L. WCA3-SW, Shark Slough and parts of Lox were less
than 20 mg/L (Figure 6.16). The east-west gradient in TOC in WCA3 indicates a water quality
footprint consistent with other parameters that follow the flow path through the system
(Figure 6.19), however, TOC concentrations were relatively high everywhere in this system
except in Taylor Slough. The high concentration of organic matter in the northern third of the
ecosystem is apparently due to the runoff from the EAA. TOC can serve as a ligand, with
available binding sites for many labile water quality parameters. Interactions with TOC are of
primary importance in the bioavailability of metals, including mercury. The binding of total
6-9
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methyl mercury on dissolved organic colloids in Everglades surface water has been
demonstrated by Cai etial, 1999 & Cai, 1999).
6.2.7 Total Phosphorus
The highest wet season median concentrations of TP were 15.97 and 11.37 //g/L in
Phase I and II, respectively, and both occurred in subarea WCA3-N (Figure 6.20).
Concentrations declined across WCA3-SE and WCA3-SW in both wet season samples, with
medians less than 9 //g/L in 1995-96 and 7 //g/L in 1999 throughout the lower four subareas of
the ecosystem (Table 6.3). An ANOVA found a significant decline (p = 0.004) in the total
phosphorus concentrations in wet season Phase II compared to wet season Phase I. Dry season
concentrations were elevated during both Phases with an extreme median concentration of
229.19 //g/L in WCA3-N following a wildfire in May 1999. The variance within subarea declined
from Phase I to II. A gradient in phosphorus concentrations was evident in the system with high
concentration inflows occurring in WCA2 and WCA3-N emanating from the North New River
and Miami Canals (Figure 6.21). Inflow of water from Big Cypress National Preserve with total
phosphorus concentrations in excess of 15 //g/L into western WCA3-N and WCA3-SW was
evident. The wet season gradient moved northward from Phase I to II, another indication that a
significant decline in phosphorus input to the system had occurred by September 1999. Wet
season concentrations indicated that over 2/3 of the system in 1999 had total phosphorus
concentrations in water of 10 //g/L or less. The excess concentrations continue to occur in
WCA2 and WCA3-N from overflows from the North New River and Miami canals. The
observed reductions in TP concentrations in the southern subareas would be expected to occur
first if the overall ecosystem loading is being reduced in the northern inflows.
6.2.8 Total Nitrogen
Total nitrogen in water showed a significant wet season decline (p = 0.000) from Phase I
to Phase II across the entire ecosystem (Table 6.3). A comparison of wet season median plots of
total nitrogen in surface water showed a significant decline occurred in WCA3-SE, WCA3-SW,
Shark Slough and Taylor Slough in 1999 while the upper three subareas showed no significant
change (Figure 6.20). Dry season concentrations were higher than wet season concentrations in
both phases. A gradient downstream occurred during both wet seasons with medians ranging
6-10
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from 1.51 in WCA2 to 0.78 mg/L in Taylor Slough during 1995-96 (Table 6.2). The gradient in
1999 had medians from 1.22 mg/L in Lox decreasing downstream to 0.32 mg/L in Taylor
Slough. The total nitrogen foot print in September 1996 followed the flow path through the
system with WCA3-SW and Taylor Slough the least affected areas (Figure 6.22). The decline in
total nitrogen concentrations in September 1999 showed that over 2/3 of the lower system was
less than 1 mg/L. The high total nitrogen concentrations found in WCA3-N and northern
WCA3-SW in dry 1999 may have resulted from the wildfire which preceded sampling by two
weeks.
6.2.9 Total Mercury
There was a significant decline in wet season total mercury across the entire ecosystem
from Phase I to Phase II (p = 0.000) (Table 6.3). The highest wet season median concentrations
occurred in Lox (3.4 ng/L) and WCA2 (2.26 ng/L) and the lowest wet season median
concentration occurred in WCA3-SW (1.01 ng/L) in 1999 (Table 6.2). Taylor Slough showed an
increase in both wet seasons (Figure 6.23). Most of the inorganic mercury in water was strongly
influenced by the amount of rain falling in the system as wet deposition. The easternmost
subareas (Lox and WCA2) of the ecosystem are located in the area of maximum rainfall, which
may explain the higher surface water concentrations found there. Dry season samples showed
higher total mercury concentrations in water during dry down (Figure 6.24) and the associated
concentration effects, which were most pronounced in Lox and WCA3-SW (Figure 6.24). The
latter may have been the result of a wildfire in WCA3-N that preceded the sampling by two
weeks. Total mercury concentrations in surface water were found to increase with decreasing
average water depth (^=0.895) when all six sampling cycles were analyzed (Figure 6.25).
Because wet atmospheric deposition is a major source of the total mercury concentrations in
water during the wet season, the decline throughout most of the system in 1999 might indicate
that local emission controls are having an effect.
6.2.10 Methyl Mercury
An ANOVA of the Phase I and Phase II wet season data for the whole ecosystem showed
a significant (p = 0.020) decline in methyl mercury concentrations in water occurred in
September 1999 (Table 6.3). Methyl mercury concentrations in water were consistently higher in
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the three northern subareas (WCA1, WCA2 and WCA3-N) during both wet and dry seasons.
However, the dry season data was much more variable (Figure 6.23). Dry season concentrations
were generally twice the wet season concentrations, which had median concentrations of
0.4 ng/L in the northern three subareas, declining to the lowest median concentration of
0.06 ng/L in Taylor Slough (Table 6.2). Most of this decline occurred in subareas WCA3-N,
WCA3-SE, WCA3-SW, and Shark Slough in the southern 2/3 of the system. The median wet
season concentration in WCA2 was 0.74 ng/L, the only subarea with an increase in 1999. A
declining gradient to the south was apparent in wet season data. Wet season concentrations
greater than 0.4 ng/L, predominated in the northern half of the ecosystem, however, dry season
concentrations may exceed this in all parts of the system that remain wet except for the
southwest portion of WCA3-SW in 1999 and Taylor Slough during both wet seasons
(Figure 6.26). A relationship of methyl mercury concentration to mean water depth showed an
increase with decreasing depth (r2 = 0.71) following analysis of all six sampling cycles
(Figure 6.27). The occurrence of high levels of methyl mercury can be anywhere in the system
during dry down. However, during the wet season, methyl mercury in water was closely
associated with the agricultural runoff waters containing elevated levels of TOC, SO4, TP and
other constituents entering the northern parts of the system. We have previously determined the
generation of methyl mercury occurs primarily in the marsh and that significant quantities are
not imported to the system with agricultural runoff waters (Stober et al. 1998).
6.3 Porewater
6.3.1 Sulfide
Porewater sulfide concentrations were determined in Phase II following development of
an appropriate methodology. A north to south gradient was apparent (Figure 6.23) in September
1999, declining from median concentrations of 1.02 mg/L in subarea WCA2 to 0.05 mg/L in
Taylor Slough (Table 6.2). The footprint of porewater sulfide (Figure 6.28) showed that it
occurred in association with the flow path of the water through the system with highest
concentrations in WCA2 and WCA3-SE. Under wet conditions the center of Lox, WCA3-SW,
Shark Slough and Taylor Slough had porewater sulfide concentrations of 0.28 mg/L or less
(Figure 6.23). During the dry season the least affected areas remained the same except for Taylor
Slough, which was dry. The spatial pattern of porewater sulfide in the system was remarkably
6-12
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repeatable under both dry and wet conditions (Figure 6.28). Sulfide can significantly affect the
availability of total and methyl mercury in the system.
6.4 Floe
Floe was defined in the field as the slurry of particulate matter and water which was
trapped on the top of the soil core sample in the process of soil sampling. The slurry was pored
into an Imhoff cone to concentrate the particles, which became the floe sample. Floe was limited
in Taylor Slough. This resulted from a shortage or complete lack of sufficient floe material due
to the extreme drying of the area during the dry season and the very low productivity. For many
Taylor Slough sites no samples could be collected. Any floe samples that could be obtained were
analyzed for total and methyl mercury.
6.4.1 Ash Free Dry Weight
The percentage of organic matter in the five upstream subareas (Lox, WCA2, WCA3-N.
WCA3-SE, WCA3-SW) ranged from medians of 94.8 % in Lox to a low of 84.58 % in WCA3-N
and WCA3-SE during both seasons (Figure 6.29). A significant decline in percent organic matter
occurred in the Shark Slough subarea with a median of 60.43 % (Table 6.2). Floe was not
recorded for Taylor Slough. AFDW in floe in the upper 2/3 of the ecosystem was over 80 % and
Lox and WCA3-SW were over 90% (Figure 6.30).
6.4.2 Mineral Content
The percentage mineral content in the upstream subareas had medians ranging from 5.2%
in Loxahatcee to 15.4 % in WCA3-N and WCA3-SE. The five upstream subareas were
consistently low in mineral content (Figure.6.29). The mineral content in Shark Slough increased
to a median of 39.6 % (Table 6.2). Figure 6.31 shows that floe in approximately 50% of the area
of Shark Slough is 40 % mineral.
6.4.3 Total Phosphorus
Median total phosphorus concentrations in floe ranged from 568 //g/g in Lox to 214 //g/g
in Shark Slough (Figure 6.29). Both extremes occurred during the dry season, with wet season
concentrations bracketed by these two extremes. A wet season concentration of 560.3 //g/g
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occurred in WCA3-N (Table 6.2) with an apparent decline to Shark Slough. All subareas showed
a high variance in the data. The spatial plots (Figure 6.32) suggest a phosphorus gradient from
north to south with concentrations greater than 600 Mg/g in southwest WCA1, WCA2 and the
northwest half of WCA3-N. Intermediate concentrations between 400-600 Mg/g occurred mainly
in WCA3-SW with lower concentrations to the south.
6.4.4 Total Mercury
Median total mercury concentrations in floe ranged from 323.6 to 72.7 //g/kg and
indicated a decline downstream from WCA1 and WCA2 to the remaining subareas downstream
(Figure 6.33). A dry season median of 331.9 //g/kg occurred in WCA3-SW (Table 6.2). Spatial
plots indicate concentrations greater than 200 //g/kg occurred in large areas of WCA1, WCA2
and WCA3-SW (Figure 6.34). There may be an association between AFDW and total mercury in
floe.
6.4.5 Methyl Mercury
Median methyl mercury concentrations in floe showed high variance in all subareas
except Shark Slough and Taylor Slough (Figure 6.33). Wet season median concentrations ranged
from 10.1 to 0.48 //g/kg in WCA2 and Taylor Slough, respectively, suggesting a north to south
gradient (Table 6.2). Spatial plots indicated concentrations greater than 2 //g/kg were prevalent
over most of WCA1, WCA2, WCA3-N and WCA3-SW during the wet season (Figure 6.35). Dry
season concentrations were similar, suggesting that the floe concentrations were greater than
2 //g/kg in the northern half of the ecosystem.
6.5 Soil Patterns
Patterns of soil organic content, mineral content and depth (subsidence/accretion) reflect
processes that are occurring in the marsh system, as well as potential diagnostic indicators of
changes that have occurred or are occurring in the marsh. This section presents these patterns,
their variance as a function of season, and gradients or hot spots that are apparent in these soil
constituents. Soil chemistry patterns are displayed as spatial plots. Soil patterns integrate loading
and provide a better perspective than water chemistry on processes and patterns that have
occurred over long time scales. Water chemistry provides a snapshot of seasonal conditions,
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while soil patterns provide a better indicator of long term trends. Patterns are compared among
the soil constituents to see if distributions observed in the water constituent concentrations
reflect the longer term patterns observed over space.
6.5.1 Soil Depth
An analysis of variance of soil thickness showed no significant differences in the
measurements from Phases 1 and 2 (Table 6.3), however, subarea WCA3-SW was close with a p
value of 0.057. If accretion is occurring, it will be measured over longer time intervals than the
time scale of this study to date. Medians of soil depth (Figure 6.36) show that maximum depths
of nearly 3 m occur in Lox, which is significantly greater than any other subarea. WCA2 has the
next greatest soil thickness with a median of 1.3 m. WCA3-N has a median soil depth of 0.4 m,
suggesting that when compared to the subareas immediately downstream (WCA3-SE and
WCA3-SW) that remain flooded most of the time, soil subsidence may have occurred. WCA3-N
has been dried by decades of water management practices in the system. Minimum soil depth
medians of around 0.3 m occur in Shark Slough and Taylor Slough (Table 6.2) where the
bedrock is closer to the ground surface. Spatial plots of soil thickness for Phase 1 and Phase 2
are shown in Figure 6.37.
6.5.2 Soil Subsidence/Accretion
This determination was made by taking the present soil thickness and subtracting the
average of the minima and maxima for soil thickness from the 1946 Davis map, resulting in
accretion as positive and subsidence as negative soil depths. A plot of median soil depths shows
that accretion of over 1 ft has occurred in Lox in the last 50 years (Figure 6.38). However,
subsidence has persisted in WCA2, WCA3-N, WCA3-SE, and parts of WCA3-SW and Shark
Slough. The worst case is in WCA3-N, which lost up to 2.45 ft over the same time period
(Table 6.4). Little change has occurred in Shark Slough, however, accretion between 0.35 and
1.55 ft was observed in Taylor Slough. Spatial plots of the minimum and maximum peat loss
show the areas of predominant soil loss concentrated in WCA2, WCA3-N, WCA3-SE and Shark
Slough (Figure 6.38).
6.5.3 Ash Free Dry Weight
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An analysis of variance of Phase I wet compared with Phase II wet seasons found
Phase IIAFDW was significantly greater than Phase I (p = 0.00) (Table 6.3). Median plots
indicate that most of the increase in Phase II occurred in WCA3-N, Shark Slough and Taylor
Slough (Figure 6.36). Comparing the medians of the five northern subareas (WCA1, WCA2,
WCA3-N, WCA3-SE and WCA3-SW), WCA3-N had medians of 62 to 78% compared to the
other subareas with medians of 82 to 97 % (Table 6.2). The AFDW declined significantly in
Shark Slough and Taylor Slough with medians ranging from 43 to 21 %, respectively. Taylor
Slough was consistently lower. Spatial plots of AFDW show the subareas with greater than 80%
occurred in WCA1, WCA2, WCA3-SE and WCA3-SW (Figure 6.39), most of the area north of
Tamiami Trail.
6.5.4 Mineral Content
Soil mineral content was also measured in 1999, which mirrors AFDW. The median plot
shows 3% in Lox, increasing to 74% in Taylor Slough, indicating a great range in soil types
(Figure 6.36). The median mineral content of soil in WCA3-N was higher (21 to 23 %) than
found in the other five northern subareas which had medians of 3 to 14 %. The medians for
Shark Slough and Taylor Slough significantly increased to a range from 57.7 to 74.5 %
(Table 6.2). Spatial plots showed that mineral concentrations were generally highest south of
Tamiami Trail and across WCA3-N (Figure 6.40).
6.5.5 Average Corrected Redox
An ANOVA comparing the average soil redox in Phase I to Phase II wet seasons showed
no significant change (p = 0.782) (Table 6.3). Wet season medians of less than 100 mV were
found in WCA2 and WCA3-N in 1995-96 while in 1999 WCA2, WCA3-N, WCA3-SE and
Shark Slough had medians greater than 100 mV (Figure 6.41, Table 6.2). An average Eh less
than 100 mV indicates anoxic or reducing conditions are occurring in the soils. Spatial plots
indicate that most of the area affected by low Eh was concentrated in WCA2, WCA3-N, and
WCA3-SE(Figure 6.42). Subareas that had large areas of oxic soils (Eh > 100 mV) were Lox,
WCA3-SE, WCA3-SW, Shark Slough and Taylor Slough in 1995-96 and Lox, WCA3-SW and
Shark Slough in 1999. Oxic soils are the typical condition throughout most of the Everglades
marsh. Anoxic soil conditions result when excess nutrients are introduced with stormwater
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runoff into the system. Most other wetland ecosystems have anoxic or reducing soil conditions
similar to those found in WCA2 on at least a seasonal basis (Mitch and Gosselink, 1986) posing
one of the fundamental differences found in the Everglades ecosystem.
6.5.6 Total Phosphorus
An ANOVA comparing total phosphorus in soil in Phase I to Phase II wet seasons
showed a significant (P = 0.000) decline occurred in Phase II throughout the ecosystem
(Table 6.3). Median plots of wet season data by subarea show increasing medians from Lox to
WCA3-N a significant decline in WCA3-SE followed by an increase in WCA3-SW and
declining to minimum concentrations in Taylor Slough (Figure 6.41, Table 6.2). It is apparent
that the magnitude of total phosphorus decline in subareas south of WCA3-N was greater in
Phase II than occurred in the northern three subareas. This response is to be expected as the total
phosphorus loading to the system declines. The downstream subareas indicate the initial
response, followed by declines in the more impacted areas upstream. Spatial plots of the
combined total phosphorus in soil for 1995-96 and 1999 show the spatial change over time
(Figure 6.43). The size of the area with concentrations exceeding 400 mg/kg has decreased
sharply with the most impacted areas above this level in WCA2 and WCA3-N. The sites where
cattails occurred are indicated showing distribution in WCA2, WCA3-N, and WCA3-SE
coincident with high soil phosphorus and marsh disturbance.
6.5.7 Total Sulfate
An ANOVA comparing log transformed total sulfate in soil in Phase I to Phase II wet
seasons showed a significant (P = 0.000) increase occurred in Phase II throughout the northern
subareas impacted with excess sulfate from the EAA (Table 6.3). Median plats of Phase I
(1995-96) wet season data described a steep gradient from Lox at 430 mg/kg to 71 mg/kg in
Taylor Slough (Table 6.2, Figure 6.44). Comparative median values for the Phase II (1999) wet
season described a steep gradient from WCA2 at 1600 mg/kg to 26 mg/kg in Taylor Slough.
Wet season sulfate concentrations were about four times higher in 1999 than in 1995-96 and the
gradient did not include Lox with a median of 170mg/kg. The dry season medians in 1995-96
described gradient similar to the wet season ranging from 296 to 78.5 mg/kg, however, the 1999
dry season medians increased to 2950, 3100, and 2500 mg/kg in WCA2, WCA3-N and
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WCA3-SE while Lox, WCA3-SW, Shark Slough and Taylor Slough remained at 120, 81, 160,
and 71.5 mg/kg, respectively. High soil sulfate concentrations in these subareas are coincident
with high concentrations of sulfate in water and sulfides in porewater. Spatial plots illustrate the
dramatic increase from the baseline 1995-96 condition to that found in 1999 during both dry and
wet conditions (Figure 6.45). It is important to note that the soil sulfate footprint across the
marsh is mostly restricted to WCA2, WCA3-N, and WCA3-SE and the WCA3-SW and Taylor
Slough remained mostly free of excess sulfate contamination in soil. The high sulfate values
found in 1999 followed an extreme drought which dewatered much of WCA2 and WCA3-N and
exposing the soil to air oxidizing soil sulfides back to sulfates.
6.5.8 Total Mercury
An ANOVA of total mercury in soil comparing Phase I to Phase II wet seasons found no
significant change (p = 0.203) (Table 6.3). Highest median concentrations were found in Lox,
WCA2 and WCA3-SW which ranged from 130 to 180 //g/kg (Figure 6.41). Medians for
WCA3-N were lower and ranged from 85 to 110 //g/kg. Wet season total mercury concentrations
in soil declined from medians of 180 and 170 //g/kg in 1995-96 and 1999, respectively to
medians of 34 and 43.5 //g/kg in Taylor Slough, respectively (Table 6.2). Total mercury in soil
was generally greater than 120 //g/kg throughout Lox and WCA2, however, the reoccurring
hotspot with maximum concentrations was the center of WCA3-SW which was apparent in both
phases and seasons (Figure 6.42).
6.5.9 Methyl Mercury
An ANOVA of methyl mercury in soil comparing Phase I to Phase II wet seasons found a
significant increase (p = 0.00) in Phase II primarily due to increases in Lox, WCA2 and
WCA3-N (Table 6.3). The plot of medians by subarea, however, shows a consistent gradient in
1999 from 5.03 and 4.79 //g/kg during the dry and wet seasons, respectively, in Lox to 0.29 and
0.13 //g/kg during the dry and wet seasons, respectively in Taylor Slough (Figure 6.41). The
gradient was similar in 1995-96, however, median concentrations in Lox were 1.96 and
1.13 //g/kg in the dry and wet seasons, respectively, declining to Taylor Slough concentrations of
0.22 and 0.1 //g/kg during dry and wet seasons, respectively (Table 6.2). The variance was
greater in 1999 than in 1995-96. Spatial plots show the highest concentrations of methyl mercury
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in soil in Lox, WCA2 and WCA3-N were along the borders of these subareas with the
Everglades Agricultural Area (Figure 6.47). These are areas were dry during the 1999 dry
season.
6.6 Periphyton Mercury
Heavy growths of periphyton can serve as methylation sites within the marsh, but only
under the right conditions (Cleckner et al. 1998). The periphyton mercury concentration, both for
total and methyl mercury, are compared with nutrient distributions both in water and soil. In
addition, changes in species composition are compared with the nutrient gradients and
concentrations.
6.6.1 Average Total Mercury
Due to the inconsistent coverage of periphyton among seasons and years all sample types
were averaged together to improve the data coverage. An ANOVA comparing Phase I with
Phase II wet seasons showed a significant decline in Phase II (p = 0.000) (Table 6.3). The
median plot of Phase I wet season data showed a gradient occurred throughout the system from a
median of 352.6 //g/kg in Lox to a median of 42.8 //g/kg in Taylor Slough (Figure 6.48,
Table 6.2). Wet season 1999 concentrations showed a less pronounced gradient with a median of
45.5 //g/kg in WCA2 to 15.2 //g/kg in Taylor Slough. Spatial plots demonstrate a tendency for
higher total mercury in periphyton in the northern half of the system (Figure 6.49), however, the
fact that periphyton did not occur in large enough quantities to sample at every station,
especially north of Alligator Alley, reduced the consistency of the coverage. The significant
decline in total mercury in periphyton from Phase I to Phase II may be a response to a reduction
in atmospheric deposition, since this community is very closely associated with the initial uptake
of mercury from atmospheric deposition.
6.6.2 Average Methyl Mercury
An ANOVA of methyl mercury in periphyton showed there was no difference in methyl
mercury in averaged periphyton concentrations from Phase I to Phase II (Table 6.3). The median
plots suggest that higher concentrations were found in Lox and WCA3-SW, with medians of 4.6
and 2.75 //g/kg, respectively, in both dry and wet seasons (Figure 6.48, Table 6.2). Taylor
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Slough had the lowest concentrations during each Cycle with medians ranging from 0.13 to
0.65 Aig/kg. The periphyton coverage was less consistent in 1999 than in 1995-96. However, the
spatial plots show a tendency for larger spatial coverage of higher concentrations in WCA3-SW
and Lox than most other subareas (Figure 6.50). This suggests that methyl mercury in periphyton
may be an important factor in the availability of methyl mercury in the food chain in WCA3-SW.
6.7 Macrophyte Mercury
Concentrations in plant leaf tissue were measured at every site where cattail and sawgrass
occurred during the May 1999 sampling cycle. Cattail coverage was limited to sites on the edge
of Lox, WCA2, WCA3-N and WCA3-SE. Sawgrass occurred at all other stations.
6.7.1 Cattail Total Mercury
Median mercury concentrations in cattail ranged from 0.78 tol.57 //g/kg in leaves
(Figure 6.48). One subarea had a median of 6.35 Mg/kg, but there were only three sites in this
subarea (Table 6.2). Concentrations in cattail tissue were very low and are of little importance as
an indicator. A spatial plot of the sites where cattail occurred is shown in Figure 6.51.
6.7.2 Sawgrass Total Mercury
Median mercury concentrations in sawgrass ranged from 3.97 to 13.21 //g/kg in leaves
(Figure 6.48, Table 6.2). The highest concentration was found in WCA3-N, however, most
sawgrass samples from this subarea were rapidly growing new leaves following a wildfire,
which may have resulted in increased uptake of mercury in the tissue. A spatial plot describes
the area of concentrations greater than 10 //g/kg occurred mostly throughout WCA3-N the area
of the wildfire in May 1999 (Figure 6.45). Macrophyte mercury concentrations in leaf tissue
were found to be low. Translocation, or flux of mercury through the plant, was not considered.
Lindberg et al (1999) has demonstrated that evasion of Hg° above a cattail marsh can be a
significant pathway for mercury flux from soil to air. It is possible the macrophytes are having a
greater effect on mercury distributions within the system than indicated based on tissue
concentrations.
6.8 Mosquitofish, Food Webs, and Bioaccumulation
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Mosquitofish mercury concentrations are displayed using median plots and spatial maps
and comparisons are made among seasons, particularly the May and September seasons in 1999.
The 1995-96 period was one of high water during the first year, with relatively high water during
the second year. The May to September 1999 period permits us to examine how rapidly
mosquitofish recolonize and accumulate mercury. Similar patterns in the distribution of mercury
spatially may indicate that the factors controlling mercury methylation, uptake and
bioaccumulation remain relatively constant over both time and space, but may be displaced in
space by hydropattern.
6.8.1 Mosquitofish Total Mercury
An ANOVA of total mercury in mosquitofish was done comparing Phase I with Phase II
wet season fish (Table 6.3). No differences were found (p = 0.693) on a systemwide comparison.
However, when individual subareas were tested, WCA3-SW showed a significant decline
(p = 0.00) as did Shark Slough (p = 0.008). Wet season comparisons of mosquitofish tissue
concentrations of total mercury showed the highest median concentrations occurred in
WCA3-SW and Shark Slough in both Phase I and II (Figure 6.52). Low median concentrations
(56.2 and 57.1 //g/kg) were recorded for WCA2 during both dry seasons (Table 6.2). Spatial
plots clearly show the mercury hot spot in fish is located in the northern part of WCA3-SW
trailing downstream through Shark Slough (Figure 6.53). The findings are similar for 1999,
however, the concentrations are lower throughout these subareas. Mercury concentrations in fish
are consistently low throughout Lox, WCA2 and WCA3-N, where methyl mercury in water is
very high. Mercury concentrations in fish are also low in Taylor Slough but methyl mercury in
the water is very low in this subarea. These differences between methyl mercury concentrations
in water and fish mercury concentrations are reflected in the bioaccumulation factor or BAF.
6.8.2 Bioaccumulation
A bioaccumulation factor or BAF is the methyl mercury concentration in the biotic
species or assemblage (e.g., mosquitofish or periphyton) divided by the methyl mercury
concentration in water. Fish tissue is typically expressed as total mercury because methyl
mercury constitutes 95 to 99% of the total mercury in fish (Bloom et.al. 1992).
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An ANOVA comparing the Phase I and Phase II wet seasons showed a significant
(p = 0.04) increase occurred in the bioaccumulation factor (BAF) in Phase II (Table 6.3). The
higher methyl mercury concentrations in the water column in Phase I and the lower total mercury
concentrations in the fish in Phase II could explain this change in the BAF. Median plots of the
BAF show a gradient in the ratio from WCA3-N through Shark Slough during both wet seasons
(Figure 6.48). During the 1995-96 wet season the median BAF remained below 350,000 in Lox,
WCA2, WCA3-N and WCA3-SE but increased to around 800,000 in WCA3-SW, Shark Slough
and Taylor Slough (Table 6.2). A similar gradient was observed in September 1999 with
medians less than 465,000 in Lox, WCA2 and WCA3-N and a significant downstream increase
to a median BAF of around 1 x 106 in the four downstream subareas. The wet season spatial
plots show the BAF less than 600,000 in Lox, WCA2, WCA3-N and the northern part of WCA3-
SE, while the BAF in WCA3-SW, Shark Slough and Taylor Slough rose above 600,000
(Figure 6.54) clearly showing the interface between the more impacted areas to the north and
less impacted areas to the south.
6.8.3 Food Webs
Niche Breadth and Trophic Position
The gut contents of 2,784 mosquitofish collected from 259 sites (Figure 6.55) were
quantified into 5 categories for analysis of trophic position and niche breadth (Table 6.4).
Overall, midge larvae, pupae, and adults accounted for the primary diet item (34.5%), while an
assortment of spiders, ants, and other surface prey accounted for a similarly high proportion of
food (30.1%). Detritus was also an important food item, and accounted for 25.1% of the diet.
Cladocera, mites, and other invertebrates too small to enumerate by mass (notably rotifers)
comprised less than 10% of the diet by mass. Overall, the trophic position of mosquitofish was
approximately 2.2, on a scale ranging from an herbivore as 1 and a piscivore consuming
carnivorous fishes as 5. However, the niche breadth exceeded the average trophic position (2.3),
indicating a large variance in diet among samples. Trophic score was highly correlated with the
frequency of detritus/plant material in the diet, and to a lessor extent on adult dipterans and other
prey items (Table 6.5). Adult diptera and other prey items, typically ants, are the individual prey
items with the largest biomass in the mosquitofish diet.
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Mosquitofish trophic position varied regionally and temporally, but most of the variation
was among samples collected at smaller spatial scales within sampling cycles (Figure 6.56).
While significant patterns were noted, the statistical model including both regional and temporal
variation explained only 13.5% of the total variance in trophic position (Figure 6.57; regions:
F7242 = 3.379, P = 0.002; cycle: F2242 = 9.675, P < 0.001; interaction ns). Tukey HSD pairwise
comparisons indicated that fish from Taylor Slough had a higher trophic score than those from
Shark Slough (df = 1,242 P=0.026), WCA3-SE (df = 1,242 P=0.012), and WCA3-SW
(df = 1,242 P=0.080). Big Cypress was only sampled for gut contents in mosquitofish in Cycle 3,
but averaged a higher trophic score than Shark Slough (df = 1,242 P=0.020), WCA3-SE
(df = 1,242 P=0.010), and WCA3-SW (df = 1,242 P=0.046). The estimates of trophic score were
least in Cycle 3 (Cycle 3 < 4 by 0.240, df = 1,242, P= 0.001; Cycle 3 < 4 by 0.181, df 1, 242,
P = 0.001), and did not differ between cycles 4 and 5. However, most of the variance in trophic
position was found among samples within study regions.
Niche breadth is a measure of the range of diet items observed within a sample. The
observed average niche breadth of 2.3 (Table 6.6) indicates that the trophic scores for each
sample derived from foods covering a wide range of trophic positions. While generally broad,
there were no regional patterns in niche breadth, but there was some variation among sampling
cycles (regions ns; cycle: F2234 = 15.907, P < 0.001; interaction ns). Niche breadth was similar in
cycles 3 and 5 (both in September) but was higher in Cycle 4 (Cycle 3 < 4 by 0.841, df = 1,234,
P < 0.001 and Cycle 5 < 4 by 0.712, df = 1,234, P < 0.001).
The relative mix of plant matter/detritus and animal prey in their gut contents determined
variation in the trophic score of mosquitofish. Though mosquitofish consume a variety of animal
prey, all the animal types had similar trophic scores (2) such that choosing amongst them had
little effect on the Adam's formula. The same can be said for their anticipated effects on
mercury bioaccumulation. Thus, spatial and temporal patterns in the frequency of plant/detritus
matter in mosquitofish guts are the primary determinant of variation in trophic score. Plant
matter was more common in the gut contents of fishes collected in September 1996 than in either
1999 sampling (Figure 6.58). As expected, most of the variance in the frequency of plant matter
in the diet of mosquitofish was within spatial regions similar to variation in trophic score.
Since over 85% of the variance in trophic position was found within study regions and
sample times, we tested for correlations between trophic score and various environmental
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parameters using backwards stepwise regression. Conductivity was the only environmental
parameter that explained a significant amount of variation in these analyses. When added to a
statistical model of trophic score that included sampling region and cycle, conductivity explained
an additional 3.3% (R2 = 0.168; region F7239 = 2.543, P = 0.003; Cycle F2239 = 2.379, P < 0.001;
conductivity F1]239 = 1.112, P = 0.002). This relationship was explored through quadratic
regression analysis of each prey category with conductivity and conductivity squared, using a
backwards-stepping procedure. The dietary percentage of adult diptera, cladocera, other animal
prey, and detritus/plant matter revealed a significant relationship with site conductivity, though
none explained more than 4.8% of the total variance (Figure 6.59; Table 6.6). The relative
abundance of animal prey based on counts of individuals were analyzed because weight
estimates were near the minimum resolution for small numbers of small species like mites and
cladocera. In spite of this, several prey types had substantial numbers of samples where they
were absent, at times close to 50%. In such cases, the data may not be well modeled with the
normal distribution and least-squares regression. These analyses were repeated with logistic
regression which models binomial data and estimated the odds of a diet item being present or
absent, relative to conductivity when it was collected. The results are illustrated in Figure 6.60,
but are not reported in detail because they were consistent with the more common least-squares
regression analyses.
The hypothesis that trophic position could be used to explain mercury concentration in
mosquitofish was not supported. This hypothesis was tested using backwards stepping regression
of mosquitofish mercury concentration and concentrations of soil, floe, and periphyton methyl
mercury, as well as conductivity and trophic score. Only periphyton methyl mercury and
conductivity were retained in this model (Figure 6.61). The trophic score was then replaced with
the percentage of total weight comprised of each of our food categories, and niche breadth. In
this case, periphyton methyl mercury, conductivity, and percentage of cladocera in the diet were
retained in a regression model that explained approximately 34% of the variance in mosquitofish
mercury (Table 6.7). Percentage of cladocera in the diet explained less than 1% of the variance
in mosquitofish mercury, while periphyton methyl mercury was responsible for 28% of the
explained variance.
Analyses reported in previous sections of this report note that mercury bioaccumulation
is greater in WCA3-SW and Shark Slough in Everglades National Park than in WCA2 and
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WCA3N. We tested for evidence that this effect was influenced by trophic score or
environmental factors with a backwards stepping multiple regression of bioaccumulation
(mosquitofish total mercury - periphyton methyl mercury) on estimated mosquitofish trophic
score, geographic location north and south of the Tamiami Canal (we limited the northern sites
to those between the Tamiami Canal and 1-75), hydroperiod, and water total phosphorus.
Consistent with the earlier analysis, we found that bioaccumulation was greater south of the
Tamiami Canal and that it was correlated with trophic score (Figure 6.62). There was no
significant correlation of water total phosphorus on this measure of bioaccumulation. Also, the
trophic score correlation was small and negative, indicating that higher trophic scores were
accumulating less mercury than those with lower scores.
Alternative Hypothesis
No link between trophic score or gut content data, in general, was found from estimates
of mercury concentration in the tissues of mosquitofish collected simultaneously with those
analyzed for gut contents. Interestingly, a relationship was found between periphyton methyl
mercury and mosquitofish mercury concentration. Either the gut content data failed to
adequately represent the diets of mosquitofish in the sample areas or the correlation between
periphyton mercury and mosquitofish mercury was not a causal (trophic) one.
Gut content data provided a good estimate of trophic position when compared to
independent estimates made from stable isotopes. Loftus (2000) found a significant correlation
between 515 N and trophic score (Pearson's r = 0.681, P = 0.002) estimated from gut content data
using Everglades fishes with trophic classes ranging from 1 to 5. He observed a similar
correlation between trophic score and tissue mercury concentration (n = 28, r = 0.684, P <
0.001). While mercury concentration did increase with increasing trophic class, Loftus (2000)
noted that there was not a significant difference between trophic classes 1 and 2 or 2 and 3,
though 2 did differ significantly from 4 and 5. In other words, while the presence of
bioaccumulation is clear, the statistical power in his sample (and probably in general) was not so
great as to reveal mercury concentration effects for shifts of 1 trophic level. The range of
mosquitofish trophic scores we estimated, unfortunately, bridge this scale from 1.5 to 3.5. Thus,
significant mercury bioaccumulation effects in mosquitofish trophic shifts will only be detected
at the extreme of the species' trophic range.
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Mosquitofish are clearly omnivores with highly varied diets (Harrington and Harrington
1961; Hurlbert and Mulla 1981; Crivelli and Boy 1987; Linden and Cech 1990; Daniels and
Felley 1992; Nesbeit and Meffe 1993; Cabral et al. 1998). Experimental studies indicate that
mosquitofish switch their prey choice relative to food availability (Bence and Murdoch 1986)
and intraspecific competition (Taylor and Trexler, in press). Mosquitofish do consume algae
from Everglades periphyton mats, though the mat structure can limit their ability to access it
(Geddes and Trexler, in review). Thus, much of the diet variability in mosquitofish is among
animal prey types with relatively little difference in mercury concentration (switching from
midge larvae to cladocera). There is probably a seasonal shift in the relative amount of algae in
their diet related to its abundance in the environment and availability for consumption
(periphyton mat structure presumably becomes more complex as the growing season progresses).
Finally, the data reported here suggest that there are spatial and temporal changes in the relative
role of cladocera and midge larvae, and adult diptera, spiders, and ants in mosquitofish diets. The
latter prey items indicate surface feeding while the former are water column or benthic dwellers.
The shift in relative use of detritus/plant material and animal prey is likely to affect mercury
concentration via bioaccumulation.
Loftus (2000) provided experimental evidence that spatial patterns of environmental
mercury may influence mosquitofish mercury concentration more than diet variation. He raised
neonate mosquitofish in cages placed in three paired short- and long-hydroperiod marshes in the
Everglades National Park to test the hypothesis that hydroperiod influenced the rate of mercury
uptake. The neonates were obtained from lab-reared females and were very low in mercury at the
outset of the experiment. The diet of mosquitofish showed small differences between the two
hydroperiods; fish from long-hydroperiod marshes consistently had lower trophic scores (more
plant matter) than those from short-hydroperiod ones. At two of the paired sites, the long-
hydroperiod fishes displayed less mercury, consistent with the prediction from bioaccumulation.
However, at the third pair of sites the mercury concentrations were greater in the long-
hydroperiod fish. The pattern of mercury in cage-reared mosquitofish matched the pattern from
free-ranging specimens collected during the experiment. Stober et al.'s unpublished data on
mercury in periphyton indicated that the anomalous pair of sites were located in a mercury hot
spot of unknown origins. Thus, the major variation in the experimental results could best be
explained by environmental mercury unrelated to hydroperiod or mosquitofish diet.
6-26
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Conductivity explained more variation in mosquitofish mercury than did trophic position.
Conductivity is correlated with flow path and nutrient level in the water column and is probably
a surrogate for the effects of nutrient level on biogeochemistry of an area. While these nutrient
effects could act to change the food web, nutrients could also act to change the availability of
mercury in a local area and expedite its transfer to mosquitofish without changing the food web
per se. While mosquitofish do eat more detritus/algae/plant matter in high nutrient sites, it
doesn't explain much variation. This pattern is also the inverse of that predicted by increased
mercury in mosquitofish inhabiting sites with high conductivity. Mosquitofish also eat more
surface prey in high conductivity circumstances. The mercury effect could be related to surface
film contamination equally as well as detritus.
There were no strong correlations explaining large fractions of the variance in
mosquitofish mercury. The most convincing statistical model explained less than 50% of the
mercury as a function of periphyton mercury concentration and conductivity. This lack of clear
results probably results from multiple sources of variation in the data. In particular, individual
fish make idiosyncratic foraging choices that influence their individual mercury contamination
and yielding large niche breadth within a sample offish. Also, there are unexplained but marked
spatial patterns in mercury availability across the Everglades. These patterns appear to propagate
through the food web locally and are reflected in mosquitofish living there. While mosquitofish
diet and Everglades food webs vary seasonally and spatially, these patterns appear to yield small
effects on mosquitofish contamination, at least compared to the effects of environmental
availability.
The trophic cascade or "top-down" versus "bottom-up" approaches postulated for
eutrophication (Carpenter et al. 1993; Harris 1994) might have relevance for mercury
contamination. In the northern areas of the ecosystem (e.g., WCA2, WCA3-N), methyl mercury
concentrations in water and soil are high, but mosquitofish mercury concentrations are low. The
methyl mercury might not be biologically available because it is bound by organic and sulfide
ligands. The periphyton mat is reduced and there may be more foraging on macrophyte detritus.
In Shark Slough, methyl mercury concentrations are low, but mosquitofish mercury
concentrations are high. In this area, the methyl mercury might be readily available for
biological uptake, accumulation and magnification through the food web. The interaction of
6-27
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local environmental conditions with food web and trophic dynamics, therefore, might explain the
spatial patterns and variability observed in mosquito fish mercury concentrations.
6.9 Mercury Mass Estimates
Mass estimates of total mercury in precipitation, surface water, floe, soil,
periphyton, and mosquitofish were calculated for each synoptic sample. Mass estimates were
also made for methyl mercury in surface water, floe, soil, and periphyton. These estimates were
developed to provide a relative perspective of instantaneous masses among constituents and not
to develop a mass balance or budget. The models used to calculate Hg mass estimates are shown
in Table 6.8. The thickness of the floe layer was difficult to accurately measure in the field. The
floe layer thickness typically varied from about 0.01 to 0.1 (i.e., 1 - 10%) of the water depth.
Floe mercury mass estimates, therefore, were estimated as a range. Periphyton densities were
assumed to range from 171 g/m2 dry weight in the ENP to 452 g/m2 dry weight in WCA-3; based
on ash free dry weight measurements collected by J. Trexler (personal communication). The
density offish was assumed to be 3.5 fish/m2 during dry seasons and 14.5 fish/m2 during wet
seasons based on data gathered by J. Trexler (personal communication).
Mass estimates of total mercury in precipitation were also calculated for the wet and dry
seasons corresponding to the sampling cycles. The mass estimate was calculated by multiplying
total precipitation for the season by the area of the study area and the average of total mercury in
precipitation measurements for the season. The wet season was assumed to be June through
October, and the dry season was assumed to be November through May. The precipitation data
used for the 1995 and 1996 calculations came from 5 National Oceanic and Atmospheric
Administration (NOAA) weather stations located in the study area; Belle Glade Experiment
Station, Devils Garden, Homestead Experiment Station, Royal Palm Ranger Station, and
Tamiami Trail. Measurements of total mercury in precipitation for 1995 and 1996 were available
for the 4 stations monitored for FAMS. Measurements of precipitation and total mercury in
precipitation for 1999 came from 3 stations in the National Atmospheric Deposition Program,
Mercury Deposition Network; FL04, FLU, and FL34.
The mass estimates for total mercury by media and cycle are compiled in Table 6.9. The
system wide estimates for water range from 2.3 to 3.4 kg during the dry cycles and from 5.2 to
6-28
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9.0 kg in the wet cycles. Higher loading during the wet season is consistent with the pattern of
atmospheric deposition. Wet deposition of Hg during the wet season accounts for 80% of the
annual total atmospheric deposition of Hg in the Everglades system.
Floe was collected only during 1999. The total mercury mass estimates for floe for 1999
indicate that this is a variable sink for mercury. The masses for the dry season and the wet season
differ by an order of magnitude. This sink is also dependent on the amount of water in the
system.
cycles ranging
System wide estimates of soil total mercury were relatively consistent in the first four
wj ~~^ ranging from 10,561 to 11,896 kg. In 1999 however, soil total mercury estimates were
less than 10,000 kg. The soil represents the largest Hg sink in the system.
Total mercury mass estimates for periphyton were based on total mercury measurements
in all types of periphyton. Periphyton total mercury mass estimates were variable, ranging from
22.7 to 227.5 kg during the wet seasons, and from 30.7 to 90.9 kg in the dry seasons.
Total mercury mass estimates in mosquitofish were extremely low, ranging from 0.06 to
0.44 kg during the dry cycles and 0.57 to 0.83 kg during the wet cycles. The low estimates
obtained may be partly due to low biomass estimates used to represent the standing stock.
System wide mass estimates of methyl mercury for water, floe soil, and periphyton, by
cycle are presented in Table 6.10. Methyl mercury mass estimates in water ranged from 0.58 to
1.6 kg during the dry cycles to 0.92 to 1.8 kg during the wet cycles. The consistency in these
estimates indicates that the amount of methyl mercury is likely controlled by internal processes
in the marsh rather than outside influences external to the marsh (e.g., atmospheric deposition).
System wide mass estimates of methyl mercury in soil ranged from 68 to 120 kg during
the dry cycles and 39 to 131 kg during the wet cycles. It is interesting to note that 1999 methyl
mercury in soil mass estimates were an order of magnitude greater than the 1995 and 1996
estimates, whereas total mercury in soil estimates for 1999 were an order of magnitude lower
than the previous years.
6-29
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Mass estimates of methyl mercury across the system for periphyton ranged from 1.3 to
5.7 kg during the dry cycles and 1.2 to 2.1 kg during the wet cycles. The greatest mass estimate
was for cycle 0. The lowest mass estimate was for Cycle 5.
Areal mass estimates were also calculated for subareas of the Everglades for each cycle.
The subareas were LOX, WCA2, WCA3-N, WCA3-SE, WCA3-SW, SRS, and TS. Figures 6.63
and 6.64 are plots of areal mass estimates of total mercury and methyl mercury in water and soil.
As expected, areal mass estimates of total mercury in water tended to be higher during
the wet cycles. Areal mass estimates of total mercury in soil were consistent between cycles,
with no seasonal pattern apparent. For the soil, there was a strong north to south gradient with
greater loads in the southern subareas. This pattern corresponded to the general pattern of water
flow in the system.
The patterns of areal mass estimates of methyl mercury in water and soil were fairly
consistent between cycles. Methyl mercury in water tended to decrease from north to south.
Methyl mercury mass estimates in water were also more variable in the WCAs than in SRS and
TS. Methyl mercury mass estimates in soil were highest in LOX and WCA3-N. During 1999
(cycles 4 and 5) the areal mass of methyl mercury in soil were greater than in 1995 and 1996 in
most of the subareas. Areal masses of methyl mercury in soil were very similar for all cycles in
WCA3-SE.
6.10 Landscape Summary
Table 6.3 is a summary often water quality parameters, one porewater parameter, five
constituents of floe, nine soil constituents and five biological tissues and a BAF index. The table
shows the constituent, the median high and low, whether there was a gradient and the direction
from high to low, the subareas included in the gradient and the significance of change from
Phase I (1995-96) values to Phase II (1999) values. A complete or partial gradient was indicated
in all parameters with the exception of total mercury in water, soil subsidence, and total mercury
in cattails. Most gradients changed from high to low extending from north to south with the
exception of pH, mineral content in floe and soil, redox in soil, total mercury in mosquitofish and
the bioaccumulation factor. Total mercury in water and subsidence did not show a gradient
across space either due to higher concentrations on both ends of the system or change in the
middle of the system. Surface and porewater quality constituents were strongly influenced by
6-30
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agricultural runoff from the EAA and showed greatest change from subareas WCA2 to Taylor
Slough with decreasing extent. The exceptions were pH, total nitrogen, and total mercury which
showed gradients from Lox to Taylor Slough. Floe constituents showed greatest change from
subarea WCA3-SW to Shark Slough for AFDW and mineral content and total phosphorus
changed most in subareas WCA3-SE to Shark Slough. Total and methyl mercury in floe changed
across the entire ecosystem from north to south. Most natural soil constituents changed across
the entire ecosystem from Lox to Taylor Slough. Soil redox and total phosphorus gradients
changed most from WCA2 to Taylor Slough while the change in soil total mercury was most
pronounced from WCA3-SW to Taylor Slough. Methyl mercury in soil changed from the edge
of the EAA in all bordering subareas to Taylor Slough. Average periphyton total mercury
changed across the entire system while methyl mercury changed most from WCA3-SW to
Taylor Slough. Cattail total mercury concentrations were measured only where this species is
most abundant (WCA2 - WCA3-SE). The change in sawgrass total mercury was most apparent
from WCA3-N to Taylor Slough. Mosquitofish changed most from subarea WCA2 to
WCA3-SW. The bioaccumulation factor changed across the entire ecosystem from south to
north.
Significant surface water declines in phase I and II wet season concentrations were found
in total phosphorus, total nitrogen, total mercury, and methyl mercury. Total phosphorus in soil
also declined significantly, however, methyl mercury increased. Wet season mean total mercury
in periphyton decreased significantly from Phase I to II and the bioaccumulation factor
increased. Collectively these observations suggest that total mercury and total phosphorus in this
ecosystem are declining and that collective actions to control local atmospheric mercury
emissions and deposition and runoff of phosphorus by best management practices in the EAA
are beginning to achieve the desired responses. However, only continued monitoring can verify
these responses.
6-31
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Table 6.1 Precipitation summaries for the 9 stations used to establish the long-term norm
and baseline precipitation conditions.
STATIONS
S5A
BELLE
GLADE
DEVILS
GARDEN
S6
S39
S8
S9
TAMIAMI
TRAIL
ROYAL
PALM
LONG TERM AVERAGE PRECIPITATION (cm)
142.5
137.3
132.2
140.8
126.7
131.4
119.1
125.7
127.5
NUMBER OF YEARS
38
66
58
36
32
27
35
57
47
ACTUAL PRECIPITATION (cm)
1992
1993
1994
1995
1996
1999
151.1
128.0
217.5
144.8
159.8
116.3
146.8
133.3
195.5
146.9
129.8
110.7
141.0
140.9
144.3
163.5
119.0
141.4
109.9
91.7
193.0
137.6
126.6
M
M
99.4
114.2
138.6
91.6
156.7
133.6
141.9
167.9
140.5
126.6
151.2
122.3
108.4
181.0
137.3
103.8
M
88.6
146.0
171.1
112.9
127.4
146.5
121.3
114.1
111.6
141.6
96.8
M
PERCENT OF LONG TERM AVERAGE PRECIPITATION
1992
1993
1994
1995
1996
1999
106%
90%
153%
102%
112%
82%
107%
97%
142%
107%
95%
81%
107%
107%
109%
124%
90%
107%
78%
65%
137%
98%
90%
M
M
78%
90%
109%
72%
124%
102%
108%
128%
107%
96%
115%
103%
91%
152%
115%
87%
M
73%
121%
142%
94%
106%
116%
95%
89%
87%
111%
76%
M
M = missing data
6-31
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Table 6.2. Surface water, floe, soil, and tissue medians and 95% CI by Everglades ecosystem subarea for Phase I (1995-1996) wet and dry seasons and Phase II
(1999) wet and dry seasons).
Parameter
P •
'
SURFACE WATER
CHLORIDE, mg/L
SURFACE WATER
SULFATE, mg/L
SURFACE WATER
SULFIDE, mg/L
SURFACE WATER
TOC, mg/L
SURFACE WATER
TOTAL P, ug/L
SURFACE WATER
TOTAL N, mg/L
POREWATER
SULFIDE, mg/L
'
FLOC MINERAL
CONTENT, %
FLOC TOTAL P /k
, ug g
Phase
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
Season
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
LOX
6.26(6.44,6.08)
6.54(6.84,6.24)
6.18(6.64,5.72)
6.59(6.8,6.38)
161.5(212.56,110.44)
69(145.08,-7.08)
301(412.28,189.72)
117.95(267.09,-31.19)
43(59.06,26.94)
17.5(36.7,-1.7)
2(2.5,1.5)
2(2.96,1.04)
0.43(0.91, -0.05)
1.48(4.49,-1.53)
0.07(0.14,0)
0.02(0.03,0)
0.06(0.07,0.04)
0.01(0.01,0.01)
25.79(31.32,20.26)
17.9(20.76,15.04)
28.23(36.01,20.45)
22.47(27.59,17.34)
20.85(26.2,15.5)
8.89(10.2,7.58)
43.09(76.71,9.47)
9.14(9.98,8.31)
1.87(2.29,1.45)
1.2(1.35,1.05)
1.5(1.92,1.08)
1.22(1.45,0.99)
2.93(4,1.86)
3.4(4.07,2.73)
6.38(9.96,2.8)
2.24(2.59,1.89)
0.92(1.39,0.46)
0.4(0.51,0.29)
1.02(1.54,0.5)
0.4(0.79,0.01)
0.12(0.23,0.01)
0.11(0.23,-0.01)
94.8(95.85,93.75)
91.55(93.19,89.92)
5.2(6.25,4.15)
8.45(10.08,6.81)
568.34(693.84,442.85)
431.5(575.99,287)
WCA2
7.37(7.5,7.24)
7.13(7.25,7)
7.88(8.3,7.46)
7.4(7.53,7.27)
935(1042.61,827.39)
684(784.17,583.83)
875(1068.57,681.43)
659(830.14,487.86)
150(186.35,113.65)
80(99.65,60.35)
44(54.47,33.53)
27(34.89,19.11)
23(35.41,10.59)
25(34.17,15.83)
0.4(0.71,0.09)
0.01(0.03,-0.01)
0.21(0.66,-0.25)
0.01(0.01,0.01)
38.61(43.24,33.98)
31.72(37.28,26.16)
37.14(41.12,33.16)
27.75(29.61,25.89)
24.1(32.72,15.48)
13.12(17.14,9.1)
22.09(37.77,6.41)
9.51(10.58,8.44)
2.29(2.49,2.09)
1.51(1.72,1.3)
1.89(2.16,1.63)
1.12(1.38,0.86)
1.69(2.72,0.66)
2.35(2.72,1.98)
3.14(3.85,2.43)
2.26(2.63,1.89)
0.85(1.31,0.4)
0.43(0.54,0.33)
0.97(1.38,0.55)
0.74(1.12,0.35)
4.95(7.08,2.82)
1.02(1.99,0.04)
86.65(93.48,79.82)
86.38(87.35,85.41)
11.9(22.25,1.56)
14.8(17.14,12.46)
263.42(307.92,218.92)
454.26(661.08,247.44)
WCA3-N
7.25(7.33,7.16)
7.1(7.17,7.02)
7.27(7.27,7.27)
7.39(7.46,7.32)
699(880.43,517.57)
462.5(544.3,380.7)
1417(1417,1417)
638(791.24,484.76)
145(172.83,117.17)
60(69.6,50.4)
13(24.98,1.02)
8.65(12.06,5.24)
56.5(67.07,45.93)
26(41.93,10.07)
0.04(0.09,-0.02)
0.01(0.02,0)
0.05(0.06,0.04)
0.01(0.01,0.01)
29.51(36.06,22.95)
23.65(25.42,21.87)
45.98(58.29,33.67)
27.47(32.69,22.25)
19.48(26.83,12.13)
15.97(21.46,10.47)
229.19(456.04,2.33)
11.37(14.42,8.33)
2.11(2.59,1.62)
1.25(1.36,1.14)
6.22(10.84,1.6)
0.93(1.13,0.74)
0.97(1.81,0.12)
2.17(2.46,1.88)
2.6(3.38,1.81)
1.27(1.53,1.01)
0.39(0.73,0.05)
0.4(0.55,0.25)
0.57(0.91,0.22)
0.24(0.37,0.12)
0.27(0.52,0.02)
0.21(0.23,0.19)
84.58(84.58,84.58)
86.94(89.55,84.33)
13.06(15.67,10.45)
842(842,842)
560.25(772.5,348)
AREA
MEDIAN (95%CI)
WCA3-SE
7.33(7.38,7.28)
7.34(7.42,7.26)
7.3(7.44,7.16)
7.42(7.5,7.34)
638(662.54,613.46)
553.5(598.88,508.12)
621(665.97,576.03)
465(517.84,412.16)
68(73.24,62.76)
47(55.13,38.87)
5.4(9.79,1.01)
5.7(8.62,2.78)
2.8(3.59,2.01)
0.73(0.96,0.49)
0.03(0.04,0.01)
0.01(0.02,0)
0.05(0. 12,-0.01)
0.01(0.01,0.01)
26.54(28.55,24.53)
19.23(20.64,17.81)
26.2(30.47,21.93)
18.51(19.15,17.87)
17.9(25.57,10.23)
8.53(12.92,4.13)
11.19(13.03,9.35)
6.21(6.95,5.46)
1.77(1.96,1.58)
1.11(1.19,1.03)
1.5(1.69,1.3)
0.7(0.75,0.65)
1.84(2.35,1.33)
2.01(2.27,1.74)
2.35(3.46,1.24)
1.18(1.45,0.91)
0.56(0.72,0.4)
0.31(0.36,0.27)
0.7(0.93,0.47)
0.22(0.31,0.14)
0.64(1.03,0.26)
0.27(0.59,-0.04)
87.04(95.92,78.16)
84.58(92.67,76.5)
12.96(21.84,4.08)
15.42(23.5,7.33)
455.09(547.83,362.36)
317.38(391.99,242.77)
WCA3-SW
7.18(7.28,7.08)
7.31(7.41,7.21)
7.1(7.22,6.98)
7.36(7.48,7.23)
450(490.96,409.04)
316(351.75,280.25)
400.5(453.93,347.07)
243(292.72,193.28)
34(45.38,22.62)
12(15.87,8.13)
2(2.59,1.41)
2(2.36,1.64)
0.17(0.31,0.03)
7.4(9.68,5.12)
0.02(0.04,-0.01)
0.01(0.01,0.01)
0.04(0.05,0.03)
0.01(0.01,0.01)
22.65(25.26,20.04)
14.41(15.85,12.96)
22.62(25.91,19.33)
13.46(15.11,11.81)
24.1(28.31,19.89)
5.74(6.92,4.56)
20.27(32.3,8.25)
5.69(6.39,4.99)
1.75(1.93,1.57)
0.94(1.01,0.86)
2.02(2.47,1.58)
0.52(0.58,0.46)
1.92(2.39,1.45)
1.92(2.07,1.77)
3.53(4.31,2.75)
1.01(1.26,0.76)
0.76(0.94,0.59)
0.28(0.37,0.19)
0.54(0.92,0.17)
0.19(0.26,0.12)
0.09(0.12,0.06)
0.08(0.11,0.04)
90.4(92.72,88.08)
91.86(93.16,90.56)
9.6(11.92,7.28)
7.93(9.22,6.64)
371.14(465.68,276.6)
453.23(502.46,404.01)
SHARK SLOUGH
7.49(7.64,7.34)
7.63(7.73,7.53)
7.35(7.52,7.18)
7.79(7.94,7.63)
600(646.46,553.54)
392(433.15,350.85)
676.5(772.64,580.36)
265.5(291.83,239.17)
62.5(80.17,44.83)
16.5(20.74,12.26)
2(2.39,1.61)
2(2.52,1.48)
1.04(4.46,-2.38)
0.72(1.08,0.36)
0.01(0.02,0.01)
0.01(0.01,0.01)
0.04(0.06,0.02)
0.01(0.01,0)
26.65(29.23,24.06)
14.65(16.24,13.06)
28.85(34.53,23.16)
11.17(12.34,10)
18.79(25.78,11.79)
6.2(7.86,4.54)
15.96(19.26,12.66)
4.89(5.15,4.62)
1.94(2.2,1.68)
1.17(1.23,1.11)
2.21(2.54,1.89)
0.6(0.67,0.52)
2.26(2.57,1.95)
1.66(1.78,1.54)
2.93(3.76,2.1)
1.18(1.37,0.98)
0.42(0.54,0.31)
0.2(0.24,0.17)
0.67(1 .41, -0.07)
0.12(0.14,0.09)
0.14(0.21,0.07)
0.07(0.09,0.06)
65.61(74.64,56.59)
60.43(71.98,48.88)
34.39(43.41,25.36)
39.57(51.12,28.02)
213.52(320.22,106.81)
239.62(319.86,159.38)
TAYLOR SLOUGH
7.28(7.35,7.2)
7.68(7.78,7.58)
7.88(8.03,7.73)
535(600.84,469.16)
294(328.63,259.37)
254(286.03,221.97)
11(16.94,5.06)
2(2.88,1.12)
2(2.28,1.72)
0.26(0.45,0.07)
0.01(0.01,0.01)
0.01(0.01,0.01)
0(0,0)
14.77(18.41,11.12)
8.7(9.36,8.04)
8.64(9.52,7.76)
12.62(17.31,7.93)
7.75(9.65,5.85)
5.25(5.6,4.9)
1.3(1.75,0.85)
0.78(0.9,0.66)
0.32(0.36,0.27)
2.49(3.23,1.74)
2.16(2.42,1.9)
1.83(2.22,1.43)
0.28(0.45,0.11)
0.08(0.11,0.06)
0.06(0.09,0.04)
0.05(0.06,0.03)
-------
Table 6.2. Continued.
Parameter
FLOC TOTAL
MERCURY, ug/kg
FLOC
METHYLMERCURY,
ug/hg
SOIL DEPTH, m
SOIL AFDW,%
SOIL MINERAL
CONTENT, %
SOILSUBSIDENCE/
ACCRETION, m
SOIL REDOX, mV
SOIL TOTAL P, mg/kg
SOIL SULFATE, mg/kg
SOIL TOTAL
MERCURY, ug/kg
SOIL
METHYLMERCURY,
ug/kg
PERIPHYTON AVG
TOTAL MERCURY,
ug/kg
PERIPHYTON AVG
METHYLMERCURY,
ug/kg
CATTAIL TOTAL
MERCURY, ug/kg
SAWGRASS TOTAL
MERCURY, ug/kg
GAMBUSIA TOTAL
MERCURY, ug/kg
BAF
Phase
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
Season
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
D
W
AREA
MEDIAN (95%CI)
LOX
175.02(406.58,-56.54)
233.84(300.6,167.08)
4.98(8.1,1.86)
2.99(9.87,-3.89)
2.65(2.89,2.41)
2.65(2.92,2.38)
2.93(3.17,2.69)
3.08(3.63,2.52)
93.49(94.39,92.59)
94.08(95.14,93.02)
97.13(98.26,96)
93.98(95.46,92.49)
3(3.55,2.45)
6.02(7.51,4.54)
0.36(0.58,0.15)
0.35(0.67,0.03)
184.93(216.9,152.96)
150.64(176,125.28)
195.8(227.16,164.44)
227.4(334.43,120.37)
314.19(336.29,292.09)
265.85(291.07,240.63)
198.49(245.51,151.47)
234.16(278.02,190.3)
265(166.45,363.55)
120(26.57,213.4)
1701-199.6,539.6)
160(177.6,142.4)
170(180.3,159.7)
140(166.19,113.81)
145(163.18,126.82)
1.96(3.31,0.6)
1.13(1.6,0.66)
5.03(6.98,3.07)
4.79(8.63,0.94)
81.87(109.85,53.88)
352.6(555.73,149.46)
18.97(18.97,18.97)
4.61(6.83,2.39)
5.55(7.33,3.77)
0.2(0.2,0.2)
2.55(2.55,2.55)
6.35(9.02,3.68)
3.97(5.85,2.09)
135.12(176.83,93.41)
108.04(151.67,64.41)
55.44(98.46,12.43)
94.63(134.42,54.83)
143821.84(175282.23,112361.45)
294852.46(367878.21,221826.71)
121720.99(269901. 76,-26459.78)
272080.17(366079.86,178080.48)
WCA2
323.57(349.55,297.59)
313.43(405.01,221.85)
0.2(1 .46.-1. 06)
10.13(16.63,3.63)
1.34(1.5,1.19)
1.2(1.41,1)
1.13(1.31,0.95)
1.4(1.6,1.2)
87.06(88.03,86.09)
87.42(89.36,85.47)
90.73(94.72,86.74)
88.71(90.61,86.81)
9.27(13.26,5.28)
11.29(13.19,9.39)
-0.27(-0.07,-0.48)
-0.20(-0.07,-0.33)
55.14(87.53,22.75)
35.65(58.46,12.84)
45.8(61.1,30.5)
83.9(309.40,48.80)
420.94(482.58,359.3)
334.5(391.48,277.52)
341.79(493.8,189.78)
354.68(416.47,292.89)
290(-23.26,603.2)
2950(1768,4131)
1600(650.8,2549)
165(175.56,154.44)
175(187.58,162.42)
130(144.77,115.23)
150(176.19,123.81)
0.47(0.67,0.26)
0.35(0.45,0.25)
0.86(2.72,-1)
0.86(2.39,-0.67)
54.83(60.64,49.01)
247.54(326.72,168.35)
60.33(83.97,36.69)
45.51(62.52,28.5)
3.26(4.48,2.04)
2.43(3.84,1.02)
1.97(2.95,0.98)
2.38(3.59,1.17)
0.78(2.92,-1.36)
7.45(8.52,6.38)
56.19(108.65,3.73)
87.69(114.91,60.48)
57.07(91.12,23.01)
133.81(179.86,87.77)
119342.11(188391.7,50292.51)
229970.27(315443.26,144497.28)
60984.88(98364.63,23605.12)
187219.05(289216.58,85221.52)
WCA3-N
156.71(156.71,156.71)
136.8(159.29,114.31)
9.19(9.19,9.19)
7.32(13,1.63)
0.46(0.57,0.34)
0.37(0.47,0.26)
0.44(0.6,0.29)
0.4(0.48,0.32)
65.67(83.03,48.31)
62.34(76.9,47.78)
78.13(101.61,54.65)
76.38(86.71,66.05)
21.87(45.35,-1.61)
23.62(33.95,13.29)
-0.67(-0.51,-0.83)
-0.75(-0.53,-0.97)
131.24(153.99,108.49)
87.1(106.54,67.66)
172.4(212.91,131.89)
81(106.41,55.59)
494.8(594.98,394.62)
395.03(460.56,329.5)
288.08(387.29,188.87)
361.95(454.34,269.56)
170(-28,368)
3100(1458,4742)
1200(649.9,1750)
94(121.87,66.13)
87.5(103.71,71.29)
85(116.43,53.57)
110(127.46,92.54)
0.88(1.28,0.47)
0.52(0.85,0.18)
1.64(2.6,0.67)
3.63(4.69,2.57)
62.52(71.06,53.98)
209.67(261.69,157.65)
9.5(9.5,9.5)
25.11(31.51,18.7)
2.32(3.48,1.16)
1.03(2,0.06)
4.47(4.47,4.47)
1.42(2.32,0.51)
0.8(0.91,0.69)
13.21(15.5,10.93)
99.58(136.08,63.09)
156.85(187.8,125.9)
114.13(168.32,59.95)
242318.19(362617.79,122018.59)
231951.17(358101.97,105800.37)
WCA3-SE
200.26(245.81,154.71)
103.56(127.9,79.22)
0.2(0.2,0.2)
2.78(5.76,-0.2)
0.94(1.08,0.81)
0.82(1.04,0.61)
0.88(1.09,0.68)
0.94(1.12,0.77)
82.52(85.15,79.89)
84.31(90,78.61)
85.11(94.49,75.73)
86.22(89.46,82.98)
14.89(24.27,5.51)
13.78(17.02,10.54)
-0.26(-0. 13.-0.39)
-0.15(0,-.30)
106.7(136.15,52.41)
119.09(141.40,76.40)
82.93(113.76,14.80)
48.33(162.05,-65.38)
341.43(380.34,302.52)
306.65(329.45,283.85)
204.14(238.87,169.4)
174.91(232.82,117)
250(195.5,304.5)
2500(943.4,4056)
990(47.10,1933)
130(145.15,114.85)
120(134.46,105.54)
97(112.28,81.72)
130(142.19,117.81)
0.39(0.59,0.19)
0.43(0.58,0.28)
0.42(0.67,0.16)
0.33(0.52,0.14)
54.35(66.25,42.44)
157.14(193.32,120.96)
36.23(70.45,2.02)
27.86(38.99,16.73)
2.75(3.61,1.89)
1.17(1.65,0.69)
0.57(1. 15.-0.02)
2.01(2.82,1.2)
1.57(2.43,0.71)
6.58(7.44,5.72)
155.88(190.1,121.65)
95.28(151.68,38.88)
56.65(88.26,25.04)
104.48(176.32,32.65)
273563.07(407186.34,139939.79)
333056.77(524153.94,141959.59)
75761. 28(159044.94 ,-7522.38)
WCA3-SW
331.93(448.43,215.42)
157.14(195.22,119.06)
0.2(0.2,0.2)
3.38(6.3,0.46)
0.82(0.97,0.67)
0.81(0.96,0.66)
0.73(0.91,0.55)
1.08(1.36,0.81)
88.01(91.51,84.51)
89.41(93.77,85.04)
90.59(92.81,88.36)
89.86(92.14,87.58)
9.41(11.64,7.19)
10.14(12.89,7.38)
-0.26(-0. 12.-0.4)
-0.04(0. 11, -0.20)
114.13(188.82,70.80)
143.69(164.11,132.89)
138.73(158.30,119.26)
151.7(163.65,139.75)
421.8(462.08,381.52)
389.29(418.14,360.44)
249.35(306.9,191.8)
268.44(301.38,235.5)
296(212.6,379.4)
81(6.46,155.5)
230(71.61,388.4)
170(182.6,157.4)
180(199.79,160.21)
160(180.61,139.39)
170(196.4,143.6)
0.43(0.58,0.27)
0.58(0.7,0.46)
0.72(1.39,0.05)
0.54(0.76,0.31)
65.63(76.91,54.34)
189.75(229.96,149.54)
28.62(46.71,10.52)
35.01(59.56,10.46)
4.61(6.5,2.72)
2.42(3.28,1.56)
3.4(4.83,1.97)
2.19(2.89,1.49)
8.3(9.42,7.17)
272.33(312.64,232.02)
234.85(283.01,186.68)
107.67(132.33,83.02)
172.48(203.74,141.23)
359773.64(432668.01 ,286879.26)
760018.48(941205.07,578831.9)
197931.16(298185.39,97676.93)
SHARK SLOUGH
99.55(156.7,42.4)
85.79(113.24,58.34)
1.31(2.37,0.25)
0.74(1.08,0.4)
0.3(0.36,0.25)
0.37(0.47,0.26)
0.29(0.39,0.19)
0.3(0.37,0.23)
34.18(45.39,22.97)
43.7(52.89,34.51)
34.05(44.45,23.65)
42.3(52.63,31.97)
65.95(76.35,55.55)
57.7(68.03,47.37)
0.04(0. 14.-0.05)
-0.01(0. 11, -0. 14)
82.8(116.76,48.84)
135.14(146.71,123.57)
115.8(139.99,91.61)
81(97.08,64.92)
311.75(368.19,255.31)
342.22(400.33,284.11)
187.25(218.58,155.92)
164.04(199.82,128.26)
96(58.90,133.1)
160(-205.8,525.8)
215(26.10,403.9)
85(106.59,63.41)
100(119.11,80.89)
69.5(92.88,46.12)
100(125.95,74.05)
0.32(0.47,0.17)
0.26(0.36,0.16)
0.22(0.32,0.12)
0.16(0.27,0.04)
45.21(49.44,40.98)
99.97(124.63,75.31)
32.41(48.71,16.11)
31.8(40.07,23.53)
1.82(2.19,1.44)
1.28(1.62,0.94)
1.3(1.95,0.65)
0.92(1.5,0.34)
1.84(1.84,1.84)
4.41(5.37,3.46)
233.66(264.84,202.48)
182.22(223.36,141.08)
244.86(295.18,194.54)
145.73(173.81,117.65)
475302.33(588975.99,361628.66)
902763.16(1007938.78,797587.54)
366142.29(858304.9,-126020.31)
TAYLOR SLOUGH
72.71(111.63,33.79)
0.48(0.85,0.11)
0.27(0.4,0.15)
0.24(0.34,0.15)
0.35(0.47,0.24)
0.26(0.38,0.14)
21.03(27.54,14.51)
16.93(22.66,11.2)
25.49(33.31,17.67)
35.33(40.56,30.1)
74.51(82.33,66.69)
64.67(69.9,59.44)
0.47(0.81,0.13)
0.11(0.20,0.01)
167.3(206.29,128.31)
146.67(160.26,133.08)
(,)
114.2(133.85,94.55)
254.4(344.33,164.46)
169.3(238.25,100.35)
148.83(239.25,58.41)
107.41(148.75,66.07)
78.5(49.75,107.2)
71. 5(-2.96, 146.0)
26(13.19,38.81)
49(67.74,30.26)
34(43.76,24.24)
45.5(60.96,30.04)
43.5(72.58,14.42)
0.22(0.35,0.09)
0.1(0.15,0.05)
0.29(0.65,-0.07)
0.13(0.17,0.08)
33.38(43.95,22.81)
42.81(54.71,30.91)
28.05(40.39,15.72)
15.24(20.18,10.29)
0.65(0.96,0.33)
0.13(0.24,0.02)
0.2(0.62,-0.22)
0.2(0.27,0.13)
7.34(8.75,5.93)
155.65(333.87,-22.57)
67.24(95.9,38.58)
80.65(109.42,51.88)
711623.38(955219.36,468027.39)
826666.67(1153609.73,499723.6)
-------
Table 6.3. Comparisons of Phase I and II median wet season parameters measured on a landscape scale by subareas in the flow
path. Subareas are designated by Lox=l, WCA2=2, WCA3-N=3, WCA3-SE=4, WCA3-SW= 5, Shark Slough=6 and
Taylor Slough=7.
CONSTITUENT
(Units)
Median
High
Low
Gradient
Direction
(High=>Low
Subareas
Included
Phase
Significant
Difference
p-value
Surface Water
pH (su)
Conductivity (uS/cm)
Chloride (mg/L)
Sulfate (mg/L)
Sulfide (mg/L)
Total Organic Carbon
(mg/L)
Total Phosphorus
(ug/L)
Total Nitrogen
(mg/L)
Total Mercury (ng/L)
Methyl Mercury
(ng/L)
7.88
684
80
27
0.01
31.7
15.97
1.5
3.4
0.74
6.54
243
11
0.26
0.00
8.64
4.89
0.32
1.01
0.08
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
S=>N
N=>S
N=>S
N=>S
N=>S
N=>S
N=>S
N=>S
N&S
N=>S
1 -7
2-7
2-7
2-7
2-7
2-7
3 -7
1 -7
1 -7
2-7
KII
I = 11
II Only
I = 11
II Only
I = 11
I>II
I>II
I>II
I>II
Yes
No
No
No
Yes
Yes
Yes
Yes
0.001
0.97
0.28
0.99
0.004
0.000
0.000
0.020
Porewater
Sulfide (mg/L)
1.02
0.05
Yes
N=>S
2-7
II Only
-------
Table 6.3. Continued.
CONSTITUENT
(Units)
Median
High
Low
Gradient
Direction
(High=>Low
Subareas
Included
Phase
Significant
Difference
p-value
Floe
AFDW (%)
Mineral Content (%)
Total Phosphorus
(ug/g)
Total Mercury
(ug/kg)
Methyl Mercury
(ug/kg)
91.86
39.57
560.2
313.4
10.13
60.43
7.93
239.6
72.7
0.48
Yes
Yes
Yes
Yes
Yes
N=>S
S=>N
N=>S
N=>S
N=>S
5-6
5-6
3 -6
1 -7
1 -7
II Only
II Only
II Only
II Only
II Only
Soil
Depth (ft)
Sub si dence/ Accreti on
(m)
AFDW (%)
Mineral Content (%)
Redox (mV)
Total Phosphorus
(mg/kg)
Total Sulfate
3.08
1.2
94
64.7
35.65
395
3100
0.24
-2.45
16.9
6.02
227.4
107.4
71
Yes
No
Yes
Yes
Yes
Yes
Yes
N=>S
N&S
N=>S
S=>N
S=>N
N=>S
N=>S
1 -7
1 -7
1 -7
1 -7
2-7
2-7
2-7
I = 11
I Only
KII
I = 11
I>II
1< 11
No
Yes
Yes
No
Yes
Yes
0.089
0.00
0.782
0.000
0.000
-------
Table 6.3. Continued.
CONSTITUENT
(Units)
Total Mercury
(ug/kg)
Methyl Mercury
(ug/kg)
Median
High
180
4.79
Low
34
0.1
Gradient
Yes
Yes
Direction
(High=>Low
N=>S
N=>S
Subareas
Included
5-7
1 -7
Phase
I = 11
KII
Significant
Difference
No
Yes
p-value
0.203
0.00
Tissue
Mean Periphyton
Total Mercury
(ug/kg)
Mean Periphyton
Methyl Mercury
(ug/kg)
Cattail Total Mercury
(ug/kg)
Sawgrass Total
Mercury (ug/kg)
Mosquitofish Total
Mercury (ug/kg)
Bioaccumulation
Factor
352.6
5.55
6.35
13.2
?
1.260k
15.24
0.13
0.8
3.97
?
187k
Yes
Yes
No
Yes
Yes
Yes
N=>S
N=>S
N=>S
S=>N
S=>N
2-7
5-7
2-4
3 -7
2-5
1 -7
I>II
I = 11
II Only
II Only
I = 11
KII
Yes
No
No
Yes
0.000
0.64
0.44
0.04
-------
Table 6.4. Summary of mosquitofish gut contents are reported by sampling period. N indicates
sample size. The average proportion of each food category relative to total contents
(wet weight) is reported for the 6 food categories. Summary indicates the total
number of specimens or study sites examined, or the average proportion or trophic
value for the entire data set.
N individual fish
N sites
Cladocera
Mites
Adult diptera
Midge larvae and pupae
Detritus/plant matter
Other prey items
Niche Breadth
Trophic Position
1996
September
1,195
102
0.025
0.048
0.323
0.092
0.337
0.175
2.114
2.086
1999
March
61
5
0.013
0.012
0.507
0.022
0.231
0.215
2.014
2.206
May
343
32
0.148
0.020
0.264
0.112
0.191
0.265
3.131
2.262
September
1,185
120
0.100
0.013
0.261
0.010
0.194
0.423
2.248
2.255
Summary
2,784
259
0.075
0.028
0.290
0.055
0.251
0.301
2.303
2.188
Table 6.5. Matrix of Pearson correlation coefficients between food categories and trophic
score. The asterisks indicate correlations significant at the P=0.05 level from
Bonferoni corrected tables.
Mites
Adult Diptera
Midge larvae
Detritus/plant matter
Other animal prey
Trophic score
Cladocera
-0.057
-0.253*
0.018
-0.205*
-0.173
0.195*
Mites
-0.028
-0.018
-0.083
-0.164
0.195*
Adult
Diptera
-0.153
-0.458*
-0.247*
0.447*
Midge
larvae
-0.108
-0.228*
0.104
Detritus/plant
matter
-0.426*
-0.994*
Other
animal
prey
0.401*
6-37
-------
Table 6.6. Regression analyses of the relationship of relative abundance of dietary components
to conductivity where mosquitofish were collected. Two analyses yielded
significant non-linear relationship, which is indicated by row with Cond2 to indicate
second parameter in the model. All results were validated with logistic regression.
Cladocera
Mites
Adult diptera
Midge larvae
Other animal prey
Detritus/plant matter
Coefficient
-0.041
NS
Cond 0.070
Cond2 -0.001
NS
Cond -0.047
Cond2 0.001
0.001
Standard
error
0.020
0.026
0.001
0.023
0.001
0.001
t
-2.025
2.659
-3.270
-2.028
2.611
2.492
P
0.044
0.008
0.001
0.045
0.010
0.013
R2
0.023
0.047
0.033
0.048
Table 6.7. Analysis of mercury concentration in the tissues of mosquitofish. The full model
explains 33.8% of the total variation in tissue mercury concentration. Total sample
size in this analysis was 152. CD is the coefficient of determination for each factor
in the model. Note that these sum to a larger total than explained by the full model
because of multicollinearity in the model parameters.
Periphyton meHG
Conductivity
Cladocera
Coefficient
0.350
-0.001
-0.532
Standard Error
0.042
0.001
-0.305
t
8.345
-4.084
-1.747
P
<0.001
<0.001
0.083
CD
28.2
6.9
0.9
6-38
-------
Table 6.8. Mercury mass estimate models.
Water:
Soil:
Floe:
Fish:
Mass,,, =
Mass, =
Massfc =
Periphyton: Mass =
Massf =
A - ''
A . .;. i
71;
k • A • . .^ -L-L
71;
k • A
n
•i-i
71;
71.
n Zi ' Mi
k • A • . ,iM
„
7C;
k-A- " '
J^ ^^ • •;. j
71-
7C;
A=area of study region, km2
Z=concentration Hg at a sample site
d=water depth at a sample site, m
7i=sampling design inclusion probability
k=constant used to convert to appropriate
units
f=floc bulk density at sample site, g/cc
p=floc thickness as a proportion of water depth, 0.01
to 0.1
s=soil bulk density at a sample site, g/cc
0.1 soil depth, m
M=density of periphyton, g/m2
(Trexler personal communication)
N=fish/m2*Average fish weight for fish, g/fish
(Trexler personal communication
6-39
-------
Table 6.9 Everglades ecosystem total mercury mass estimates (kg).
Cycle 0
(1995 Dry)
Cycle 1
(1995 Wet)
Cycle 2
(1996 Dry)
Cycle 3
(1996 Wet)
Cycle 4
(1999 Dry)
Cycle 5
(1999 Wet)
Input
Precipitation
37.6
115.7
36.7
79.4
38.0
108.5
Sinks
Water
Soil
Floe
Periphyton
Fish
TOTAL
2.944
10912.488
0.000
78.536
0.442
10.994
9.038
11895.558
0.000
0.000
0.832
11.905
3.435
11652.993
0.000
90.910
0.244
11.748
5.550
10561.007
0.000
227.492
0.571
10.795
2.288
8134.795
166.572
30.663
0.061
8.334
5.191
9848.237
1163.391
22.753
0.697
11.040
Table 6.10. Everglades ecosystem methyl mercury mass estimates (kg).
Sinks
Water
Soil
Floe
Periphyton
Fish
TOTAL
Cycle 0
(1995 Dry)
1.659
63.999
0.000
5.708
0.442
72
Cycle 1
(1995 Wet)
1.845
58.457
0.000
1.991
0.832
63
Cycle 2
(1996 Dry)
1.107
75.387
0.000
2.779
0.244
80
Cycle 3
(1996 Wet)
0.929
39.177
0.000
2.108
0.571
43
Cycle 4
(1999 Dry)
0.584
120.073
1.696
1.317
0.061
123
Cycle 5
(1999 Wet)
0.962
131.389
16.395
1.202
0.697
151
6-40
-------
MONTHLY PRECIPITATION AT S9
OBSERVED DATA AND MONTHLY NORMALS
JMMJSNJMMJSNJMMJSNJMMJSNJMMJSNJMMJSNJMMJSNJMMJSN
FAJAODFAJAODFAJAODFAJAODFAJAODFAJAODFAJAODFAJAOD
1992
1993
1994
1995
1996
1997
1998
1999
Figure 6.1. Comparison of monthly precipitation during the study period to normal monthly precipitation over the period of
record at precipitation Station S9, with sampling periods indicated.
-------
Marsh Water Depth
All Cycles
0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0
Depth, m
Figure 6.2. Cumulative distributions of water depths during sampling.
-------
May 96 & 99
Figure 6.3. Median water depth measured in subareas during May 1996 and 1999 with 95% confidence interval.
-------
September 95,96,& 99
CO
Figure 6.4. Median water depth measured in subareas during September 1995, 1996 and 1999 with 95% confidence interval.
-------
WATER DEPTHS
Depth (meters)
>0.90
0.60
0.30
0.15
0.03
0.00
DRY
-81.0 -80.8 -80.6 -80.4 -81.0 -80.8 -80.6 -80.4
LONGITUDE, decimal degrees
Figure 6.5. Surface plots of water depth measured during sampling.
-------
1.5
E 1.0
a
s
a
I
S
S 0.5
0.0
Dry Season (May)
JL JL
3A-NE B 3A-28 CA3A-4 NP-205 P33 P37
WCA3-N
WCA3-SW
Shark Slough
Taylor Slough
Wet Season (September)
1.5
E 1.0
.£
*•
a
a
s
«
S 0.5
0.0
JL
j 1
*
Figure 6.6. Comparison of historical ranges of water depths at SFWMD stage
stations to water depths measured during sampling.
-------
330-367 ••
300-330 "
240-300 "
O
g_ 180-240 <
O
t,
X 120-180 <
60-120 "
0-60 •"
>» »»»»»» » »«»»»«» »» »»» » x'
• *
•«» »*»* «» 4» **/
/
0.00
X
0.20
•
r
X
r
0.40 0.60 0.80 1.00 1.20 1.40
Water Depth, m
Figure 6.7. Water depths measured during phase 2 associated with SFWMM hydroperiod
ponding classes.
-------
45
40
35
30
25
20
15
10
MAY AVERAGE
PONDING DEPTH
1995 BASE (Revised)
SFWMM v3.5
19654995 Simulation Period
Mean May
Ponding Depth
Classes
0 to 0.1 feet
0.1 to 0.5 feet
0.5 to 1.0 feet
1.0 to 2.0 feet
2.0 to 3.0 feet
more than 3.0 feet
10
15
20
25
30
35
40
27 Apr 98 09:20:33 Monday
-------
OCTOBER AVERAGE
PONDING DEPTH
1995 BASE (Revised)
SFWMM v3.5
19654995 Simulation Period
20
15
10
Mean October
Ponding Depth
Classes
0 to 0.1 feet
0.1 to 0.5 feet
0.5 to 1.0 feet
1.0 to 2.0 feet
2.0 to 3.0 feet
more than 3.0 feet
10
15
20
25
30
35
40
27 Apr 98 09:20:33 Monday
-------
3000
o 2000
CD
<
O
CD
| 1000
"o
0
T
y=170*exp(0.00052*x)
R2 =0.994
1000 2000 3000 4000 5000 6000
Area (sq km)
Figure 6.10. Surface water volume to surface area of inundation from the
Everslades ecosvstem.
-------
Everglades Ecosystem
Area of Surface Water Inundation
/y Canals
| | Extremely Short Hydropattern
^] Short Hydropattern
\ Intermediate Hydropattern
Long Hydropattern
495 mi.
473 mi.2
423 mi.2
746 mi.2
Total Area: 2137 mi:
WCA3-N
1282 km
1225 km2
1096 km2
1932 km2
5535 km2
WCA1
WCA3-SW
WCA3-SE
WCA2
Shark Slough
Taylor Slough
Figure 6.11. Everglades ecosystem area of surface water inundation.
-------
Phase I
Phase I
7.5 -
6.5 -
6 -
950 -
850 -
^ 750 -
| 650 -
3 550 -
| 450 -
1 350 -
8 250 -
150 -
50 -
160
Figure 6.12. Median pH, conductivity, and chloride measurements (with 95%
confidence interval) in each of the subareas during wet and dry seasons of phase 1 and
phase 2.
-------
APRIL 1935 AND MAY 1946
SURFACE
pf-
SEPTEMBER
Figure 6.13. Surface plots of pH measured during wet and dry seasons of
phase 1 and phase 2.
-------
SURFACE WATER
CONDUCTIVITY
APRIL 1995 AND MAY 199* I
SURFACE WATER
CONDUCTIVITY
MAY "333
SURFACE WATER
CONDUCTIVITY
SEPTEMBER 1995 -
SURFACE WATER
CoNOUCtltftTY
SEPTEMBER
Figure 6.14. Surface plots of conductivity measured during wet and dry seasons of
phase 1 and phase 2.
-------
SURFACE WATER
CHLORIDE
MAY 1999
S4JRFAC1 WATER
CHLORIDE
SEPTEMBER 1990
Figure 6.15. Surface plots of chloride measured during phase 2 wet and dry seasons.
-------
Phase I
Phase I
w
w
100
0.4 -
-- 0.3 -
0.2
0.1
50 -
45 -
40
30-
25-
20
15
10 -
A
^
X
o
to -2 -°
< w w
X
o
5)
-s
-------
SURFACE WATER
SUUFATE
APRIL 1996 AND MAY 1996
SURFACE WATEI
SULFATE
SEPTEMBER 1995-1996
SURFACE WATER
SULFATE
SURFACE WATER
SULFATE
SEPTEMBER
Figure 6.17. Surface plots of sulfate measured during wet and dry
seasons of phases 1 and 2.
-------
SURFACE WATER
SULFIDE
SEPTEMBER 1999
SURFACE WATER
SULFIDE
MAY 19ft
Figure 6.18. Surface plots of sulfide measured in surface water during wet and dry
seasons in phase 2.
-------
SURF ACE WATER
TOTAL ORGANIC CARBON
APRIL 1996 AND MAY 1996
SURFACE WATER
TOTAL ORGANIC CARBON
SEPTEMBER 1995-1996
SURFACE WATER
TOTAL ORGANIC CARBON
SURFACE WATER
TOTAL ORGANIC CARBON
SEPTEMBER 1999
Figure 6.19. Surface plots of TOC measured in surface water during wet
and dry seasons in phases 1 and 2.
-------
Phase I
Phase I
w
w
100
O)
Figure 6.20. Median TP and total nitrogen measured in surface water in the
subareas during wet and dry seasons of phases 1 and 2.
-------
SURFACE WATER
TOTAL PHOSPHORUS
APRIL 1995 AND MAY 1996
SURF ACE WATER
TOTAL PHOSPHORUS
SEPTEMBER 1995 -1996
SURFACE WATER
TOTAL PHOSPHORUS
SEPTEMBER 1999
SURF ACE WATER
TOTAL PHOSPHORUS
Figure 6.21. Surface plots of TP measured in surface water during wet and dry
seasons of phases 1 and 2.
-------
SURFACE WATER
TOTAL NITROGEN
MAY 1906
SURFACE WATER
TOTAL NITROGEN
SEPTEMBER
SURFACE WATER
TOTAL NITROGEN
MAY 1999
SURFACE WATER
TOTAL NITROGEN
SEPTEMBER 1399
Figure 6.22. Surface plots of total nitrogen measured in surface water
during wet and dry seasons in phases 1 and 2.
-------
Phase I
Phase I
w
w
O)
E 1
£ 0.1
0.01
$
s
m m
$
s
(0 5)
Figure 6.23. Median total mercury and methyl mercury in surface water, and sulfide in
pore water (with 95% confidence intervals) measured in the subareas during wet and
dry seasons of phases 1 and 2.
-------
SURFACE WATER
TOTAL MERCURY
APRIL 1995 AND MAY 1996
SURF ACE WATER
TOTAL MERCURY
SEPTEMBER 1MS-1936
SURFACE WATER
TOTAL MERCURY
MAY 1999
SURFACE WATER
TOTAL MERCURY
SEPTEMBER 19M
Figure 6.24. Surface plots of total mercury measured in surface water during
wet and dry seasons of phases 1 and 2.
-------
ki
o 4
15
83
R2 = 0.895
C
0)
o 0
I- 0.0 0.2 0.4 0.6 0.8
Mean Water Depth (m)
Figure 6.25. Relationship between mean total mercury in surface water
and mean water depth for each of the sampling cycles
(phase 1 and 2)
-------
SURFACE WATER
METHYL MERCURY
APRIL 19&5 AND MAY 1»K
SURFACE WATER
METHYL MERCURY
SEPTEMBER 1995-19M
SURFACE WATER
METHYL MERCURY
SEPTEMBER 1399
SURFACE WATER
METHYL M6RCURY
MAY 1999
Figure 6.26. Surface plots of methyl mercury measured in surface water
during wet and dry seasons of phases 1 and 2.
-------
Phase I/I I MeHg by Water Depth
^ 1.2
O)
c
£ 0.9
n
0)
u
•C 0.6
3
(0
O)
X 0.3
0)
0.0
0.0
I
I
R2 = 0.712
0.2 0.4 0.6
Mean Water Depth (m)
0.8
Figure 6.27. Relationship between mean methyl mercury in surface water
and mean water depth for each of the sampling cycles
(phase 1 and 2).
-------
PORE WATER
SULFIDE
SEPTEMBER 1999
PORE WATER
SULFIDE
MAY 1999
Figure 6.28. Surface plot of sulfide measured in pore water during wet and dry seasons in
phase 2.
-------
Phase I
Phase I
120
100
I
80
60
40 -I H
60 -
50
& 30
o
O
-------
FLOC
ASH FREE DRY WEIGHT
SEPTEMBER
FLOC
ASH FREE DRY WEIGHT
Figure 6.30. Surface plot of AFDW of floe measured during wet and dry seasons in phase 2.
-------
FLOG
MINERAL CONTENT
SEPTEMBER 1999
FLOC
MINERAL CONTENT
MAY 1999
Figure 6.31. Spatial plots of floe mineral content measured during wet and dry seasons in
phase 2.
-------
FLOC
TOTAL PHOSPHORUS
SEPTEMBER 1999
FLOC
TOTAL PHOSPHORUS
MAY 1939
Figure 6.32. Spatial plots of total phosphorus in floe measured during wet and dry seasons in
phase 2.
-------
Phase I
w
Phase I
w
en
_o
o
"o
I—
-inn
n
14
8" 8
cn
0 °
X OJ Z LU ^ -^ -^
^ U g < W W
W
X OJ Z LU ^ -^ -^
^ U g < W W
W
»
T
I I I « I V\ ^ i
<
/
1
I
\
s
I
v
V
\
,—-"
. V-?
Figure 6.33. Median total mercury and methyl mercury in floe (with 95% confidence
intervals) measured in subareas during wet and dry seasons in phases 1 and 2.
-------
FLOC
TOTAL MERCURY
SEPTEMBER 1999
FLOC
TOTAL MERCURY
MAY 1999
Figure 6.34. Spatial plots of total mercury in floe measured during wet and dry seasons in
phase 2.
-------
FLOC
METHYL MERCURY
SEPTEMBER 1999
FLOC
METHYL MERCURY
HAY 1939
Figure 6.35. Spatial plots of methyl mercury in floe measured during wet and dry seasons in
phase 2.
-------
Phase I
Phase 11
Figure 6.36. Median soil depth, soil subsidence/accretion, soil AFDW, and soil mineral
content (with 95% confidence intervals) measured in subareas during wet and dry
seasons in phases 1 and 2.
-------
SOIL THICKNESS
1095 - 1996
SOIL THICKNESS
Figure 6.37. Spatial plots of soil thicknesses measured during phases 1 and 2.
-------
CHANGE IN SOIL THICKNESS
1946 TO 1995/1996
Figure 6.38. Spatial plot of soil subsidence and accretion from 1946 to 1995/1996.
-------
ASH FREE DRY WEIGHT
SOIL
APRIL IMS AND MAY 1996
ASH FREE DRY WEIGHT
SOIL
SEPTEMBER 1995 -1996
ASH FREE DRY WEIGHT
SOIL
MAY 1999
ASH FREE DRY WEIGHT
SOIL
SEPTEMBER 1999
Figure 6.39. Spatial plots of soil AFDW measured during wet and dry seasons in phases 1
and 2.
-------
MINERAL CONTENT
SOIL
SEPTEMBER 1990
MINERAL CONTENT
SOIL
MAY 1999
Figure 6.40. Spatial plots of soil mineral content measured during wet and dry seasons in
phase 2.
-------
Phase I
250
0.01
Figure 6.41. Median redox, total phosphorus, total mercury, and methyl mercury in soil
(with 95% confidence intervals) measured in subareas during wet and dry seasons in
phases 1 and 2.
-------
Soil Eh
Dry
Nitkmal Piwenw
26.fr-
26A-
2S.SH
25.fr-
25.4-
26.fr-
26.4-
ISW-Dry
26.1-
25.8H
25.fr-
i
r
i
r
-81J -80J -80.6 -N4 -81.0 -80.8 -SQ.6 -80.4
LONGITUDE, decimal degrees LONGITUDE, decimal degrees
Figure 6.42. Spatial plots of soil Eh measured during wet and dry seasons
in phases 1 and 2.
-------
Total Phosphorus in Soil
and Cattail Locations
X Cattail
Dry
Big Cypress
National Preserve
0 100 200 300 400 500 >600
mg/kg
X
2
"si
.a
'3
0)
•o
Q
H
HH
H
<:
h-1
-------
0)
0)
0)
c
c
c
ir
*\
i-
J
1 Ul 1
— i
>,
j
Sl-M
sys-M
MSeVOM-M
3SeVOM-M
NeVOM-M co
CL>
SVOM-M £
XO1-M 3
! C
Sl-Q |
sys-a |
MsevoM-a ^
ssevoM-a 13
NevoM-a u
c
SVOM-Q "~
xoi-a |
T3
300000 t£3
30000 JH
30000 £!
T M- CO CM i- g
6>|/Biu 'nog in
(O
O)
O)
IO
O)
O)
T—
1-
1-
7"
1 —
-X
1-
H
3^1
V
\
./
t
— 1
V-
1
t
v.
H
T .
r
Sl-M § co
a S^
SyS-M •- S3
£ -C
MSeVOM-M cS c
3SeVOM-M co co
13 o
NevoM-M •§ ^§
2VOM-M g "
XO1-M "u ^
^ 1
si-a J |
sys-a 2 ^
3 .5
MsevoM-a • 2^ 3
ssevoM-a
NevoM-a
zvoM-a
xoi-a
oooooooo
o o o o o o o
h- CD m M- co CM i-
6>|/BlU 'nog U|
-------
SULFATI
SOIL
SEPTEMBER 1995 1356
SULFATE
SOIL
APRIL 1995 AND MAY 1 996
SULFATE
SOIL
SEPTEMBER 1999
SULFATE
SOIL
MAY 1999
Figure 6.45. Spatial plots of total sulfate in soil measured during wet and
dry seasons in phases 1 and 2.
-------
TOTAL MERCURY
SOIL
APRIL 1495 AND MAY 19961
TOTAL MERCURY
SOL
MAY 1999
TOTAL MERCURY
SOIL
SEPTEMBER 1995 -1996
TOTAL MERCURY
SOIL
SEPTEMBER 1399
Figure 6.46. Spatial plots of total mercury in soil measured during wet and dry seasons in
phases 1 and 2.
-------
METHYL MERCURY
SOIL
APRIL 1995 AND MAY 1t9B
METHYL MERCURY
SOIL
MAY 1949
METHYL MERCURY
SOIL
SEPTEMBER 1995.1996
METHYL MERCURY
SOIL
SEPTEMBER
Figure 6.47. Spatial plots of methyl mercury in soil measured during wet and dry seasons in
phases 1 and 2.
-------
Phase I
Phase 11
400
-i-i
^
to
Q_
0)
•^ c
h= ^
°
0)
=3
I 11-
1—
1 ^
CO
v j A
\x \
r \
f
X CN z LU > -^ JZ
3 o 3 °? » g g
5 O < < CO CO
)
X
o
\
\
§
/
-r
1
^ LU
9 ^
V
\
>"§)"§)
i O O
< CO w
>
c
/
/
<
'
B
/
/J
I/
J
<
5 ?
1
/•
\
\
\
\
;
/
/
j
^
u ;
i !
\
\
\
i
\
N
i
? :
\J
-
A
f
i
I1 i
0 CO
\ T ..
\\/\ r
1 r\
X CN Z LJJ g -C JZ
Figure 6.48. Median total mercury and methyl mercury in periphyton, and total
mercury in cattails and sawgrass (with 95% confidence intervals) measured in subareas
during wet and dry seasons in phases 1 and 2.
-------
AVERAGE TOTAL MERCURY
PEMPHYTON
ARM. 1*95 AND MAY IBM
AVERAGE TOTAL MERCURY
PERIPHYTON
SEPTEMBER
AVERAGE TOTAL MERC URt
PERIPHYTOM
SfFt EMBER
AVERAGETOTAL MERCURY
PERIPHYTON
MAY1WSI
Figure 6.49. Spatial plots of average total mercury in periphyton measured during wet and dry
seasons in phases 1 and 2.
-------
AVERAGE METHYL MERCURY
PERIPHYTON
SEPTEMBER 1 Wf - ItH
AVERAGE MSTHYL MERCURY
PERIPHYTON
APRIL 1995 AND MAY 1M€
AVERAGE METHYL MERCURY
PERIPHYTON
SEPTEMBER
AVERAGE METKH. MERCURY
PERIFMVTQH
Figure 6.50. Spatial plots of average methyl mercury in periphyton measured during wet and
dry seasons in phases 1 and 2.
-------
TOTAL MERCURY
SAWGRASS AND CATTAIL LEAF
MAY 1999
CATTAIL
O
Figure 6.51. Spatial plots of total mercury in sawgrass measured May 1999 showing locations
where cattails were collected with associated total mercury concentrations.
-------
Phase I
Phase I
400
1200000
1000000
800000
I
600000
400000
200000
0
z
7_
7
I
Figure 6.52. Median total mercury in gambusia and BAF measured in
subareas during wet and dry seasons in phases 1 and 2.
-------
TOTAL MERCURY
MOSQUITO FISH
APRIL 1995 AND MAY 1S9E
TOTAL MERCURY
MQSQUITOftSH
SEPTEMBER 1995-
TOTAL MERCURY
MOSQUITOflSH
SEPTEMBER
TOTAL MERCURY
MOSQUITOFISH
MAY 1999
Figure 6.53. Spatial plots of total mercury in Gambusia measured during wet and dry seasons in
phases 1 and 2.
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BIO ACCUMULATION
FACTOR
APRIL 1995 AND MAY 1996
BIO ACCUMULATION
FACTOR
SEPTEMBER 1995-19i6 L«* *"
BIO ACCUMULATION
FACTOR
SEPTEMBER
BIOACCUMULATION
FACTOR
Figure 6.54. Spatial plots of BAF measured during wet and dry seasons in phases 1 and 2.
-------
SAMPLE SITES
WET SEASON
SEPTEMBER 1986
DRY SEASON
MARCH 1999
WET SEASON
SEPTEMBER 1999
25J6-
26.*-
262-
26-
2SS-
25 J6-
25.*-
I I I I
-31 -EDS -SIS -ED .4
266-
26.*-
262-
26-
2SS-
25.6
25.i-
- 26.6-
- 26.*-
- 26.2-
26-
- 2S.B-
- 25.6-
- 25. i-
-31 -313 -31B -31A
\ \
-3Q.6 -31A
Figure 6.55 Maps of the synoptic sampling site locations where mosquitofish were collected for food
habits analysis.
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TROPHIC POSITION BASED ON MOSQUITOFISH GUT CONTENTS
WET SEASON
SEPTEMBER 1996
Figure 6.56 Maps of trophic score based on mosquitofish gut contents for each cycle sampled.
-------
3.0
| 2.5
'trt
o
a.
y
| 2.0
1.5
i i i i i i i r
}
i i i i i i i i
Region
Figure 6.57 Least squares estimated means and 95% confidence intervals for
trophic position of mosquitofish by study region. Abbreviations for the
regions are: LOX (Loxahatchee NWR), WCA2, WCA3-N, WCA3-SE,
WCA3-SW (Water Conservation Areas), Shark Slough, Taylor Slough, and
BICY (Big Cypress National Preserve).
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DETRITUS/PERIPHYTON IN MOSQUITOFISH GUT CONTENTS
WET SEASON
SEPTEMBER 1996
DRY SEASON
MAY 1999
WET SEASON
SEPTEMBER 1999
Figure 6.58 Maps of the frequency of detritus/periphyton in mosquitofish gut contents by cycle sampled.
-------
ioq
ioq
500 1000
Conductivity (uS)
1500
500 1000
Conductivity (uS)
1500
120|
500 1000
Conductivity (uS)
1500
500 1000
Conductivity (uS)
1500
100
^ 90
* 80
& 70
1 °°
E 50
J 40
f" 30
| 20
"S
Q 10
0
500 1000
Conductivity (uS)
1500
Figure 6.59 Relative abundance of each prey type plotted against conductivity
at each site. A quadratic least-squares best-fit is plotted on each graph, all
lines except midge larvae have slopes different than zero.
-------
c
CO
E
(U Q.
Q O
Q_
1.0
Logistic regression
L-S fit
o.o
500 1000
Conductivity (uS)
1500
Figure 6.60 Detritus/plant matter in the diet of mosquitofish relative to
conductivity at the collection site. The data points plotted indicate the
proportion of detritus/plant matter in mosquitofish diets estimated by mass.
The L-S (least-squares) best fit indicates the best estimate of proportion of this
item in the diet. The logistic regression is probability of detritus/plant present
(without regard to relative mass) in diet. Logistic regression indicates
probability to increase from 0.6 to near 1.0 as conductivity increases from low
to high. The logistic regression fits a binomial distribution using a maximum
likelihood algorithm.
-------
O)
.*:
"o> c
3- 6
O)
4
a-
)
O
1
I I I
-4-3-2-10123
Ln (periphyton methyl Hg (ug/kg))
O)
O) c
I 3
V)
I 4
a-
-------
Source
Trophic score
Spatial division
Total P in water
Effect
-1.631
-0.251
0.352
P
0.055
0.033
0.120
CD
2.3%
2.9%
1.5%
c
o
Is 6
1
3 5
o
CD
O
in A
North South
Division
Figure 6.62. Mercury bioaccumulation estimated for mosquitofish collected south of 1-75. North refers to
fish collected in WCA3 between 1-75 and Tamiami Trial while south refers to fishes collected south of
Tamiami Trail in ENP. Mercury bioaccumulation = (fish total Hg) - (periphyton methyl mercury): N =
140; R2 = 0.055.
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LOX
WCA2
WCA3-N WCA3-SE WCA3-SW
SRS
- Cycle 0
-Cycle 1
- Cycle 2
-Cycles —*— Cycle 4
Cycle 5
LOX
WCA2
WCA3-N WCA3-SE WCA3-SW
SRS
- Cycle 0
- Cycle 1
-Cycle 2
- Cycle 3
-Cycle 4
Cycle 5
Figure 6.63. Total mercury mass estimates by marsh subarea and cycle in water
(top) and soil (bottom).
-------
0
LOX
WCA2
WCA3-N WCA3-SE WCA3-SW
SRS
- Cycle 0
• Cycle 1
•Cycle 2
- Cycle 3
-Cycle 4
Cycle 5
E
.*
"3)
V)
0.09
0.08
0.07
0.06
0.05
~ 0.04
I 0.03
.c
| 0.02
0.01
0.00
LOX
WCA2
WCA3-N WCA3-SE WCA3-SW
SRS
TS
• Cycle 0
•Cycle 1
- Cycle 2
-CycleS
• Cycle 4
Cycle 5
Figure 6.64. Methylmercury mass estimates by marsh subarea and cycle in water
(top) and soil (bottom).
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7.0 RISK HYPOTHESES ANALYSIS AND EVALUATION
7.1 Conceptual Models and Risk Hypotheses
7.1.1 South Florida Ecosystem Areas
Previous analyses and discussions have focused on seven subareas in South Florida that
are demarcated by natural/artificial barriers or flow paths. This section will focus on three
subareas in South Florida. The primary reason for decreasing the number of subareas from seven
to three is to increase the number of sites or sample size per subarea considered in the analyses.
With three subareas, there are typically 30 or more sites included in the analyses. This increased
sample size provides greater explanatory power in statistical models formulated for these areas.
Alligator Alley (Interstate 75) and Tamiami Trail (US 41) form two barriers to flow from
north to south through the South Florida Everglades ecosystem. The area north of Alligator
Alley includes the Loxahatachee National Wildlife Refuge, WCA2, and the northern part of
WCA3. The area between Alligator Alley and Tamiami Trail consists of WCA3, including both
WCA3-SE and WCA3-SW. The area south of Tamiami Trail to the mangrove fringes is in the
Everglades National Park and includes Shark Slough and Taylor Slough. Although there are
control structures and culverts under Alligator Alley and Tamiami Trail to permit water
movement, the northern portion of WCA3-SE and SW, between Alligator Alley and Tamiami
Trail, is typically drier than natural conditions and the southern portion of this area, above
Tamiami Trail, is wetter, with water ponding in the marsh just north of the Trail.
These three areas also respond differently to loadings from the EAA and other sources.
Nutrient loading is greatest in the area north of Alligator Alley. As has already been shown, there
is a mercury "hot spot" between the Alley and the Trail in WCA3-SW. The area south of the
Trail in Shark and Taylor Sloughs has the lowest nutrient, sulfate and TOC concentrations, but
intermediate fish mercury concentrations. Because these areas respond differently, management
actions also are likely to elicit different responses in these three areas.
7.1.2 Conceptual Models
Different patterns in hydroperiod, water quality, soil constituents, and fish mercury
became apparent during the Phase I analyses and were discussed in the Phase I report. Similar
patterns were observed in the Phase II data. Based on these patterns, risk hypotheses were
7-1
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formulated for each of these three areas. These risk hypotheses are illustrated by the conceptual
models formulated for each of these three areas (Figure 7.1). The Phase I analyses focused
primarily on the water pathways for mercury through the ecosystem. The Phase II analyses
included potential soil pathways for methylmercury in addition to the water pathways. Other
studies have indicated that the primary sites for methylation in the South Florida ecosystem are
the soils, where porewater sulfide concentrations play a major role in controlling methylation
rates (Benoit et.al., 1999, 2000; Gilmour et.al., 1998). Both the Phase I and Phase II studies
represent synoptic surveys, rather than process-oriented studies. These surveys permit an
evaluation of large scale patterns rather than small scale processes. However, comparisons with
these smaller scale process studies can indicate the likelihood that the larger scale patterns result
from these underlying processes.
Three conceptual models, hypothesized to describe the patterns and processes occurring
in the South Florida Everglades ecosystem, are shown in Figure 7.1 and briefly discussed here.
These risk hypotheses and pathways were evaluated using Principal Component Analyses (PCA)
and path analyses, which are described in the next sections.
North of Alligator Alley, the system is dominated by the discharges from the EAA. TP,
TN, TOC, sulfate, and sulfide concentrations were high in both the water and sediment. This is
represented by the thick arrows shown in Figure 7.1. Total mercury concentrations in water were
also relatively high in this area compared to areas south of Alligator Alley. Total mercury
concentrations in soil, however, were moderate in WCA2 and low in WCA3-N compared to the
other areas. Methylmercury concentrations north of the Alley were among the highest measured
throughout the system during every season. However, fish mercury concentrations were
relatively low in this area. Elevated sulfide and TOC concentrations likely act as ligands and
chelate the mercury so that it is not readily available to aquatic organisms. High production in
response to nutrient loading might also be contributing to biodilution of mercury through the
aquatic food web.
Between Alligator Alley and Tamiami Trail, TP, TN, TOC, and sulfate concentrations
decreased significantly. Methylmercury concentrations also decreased slightly, but fish mercury
concentrations increased dramatically (Figure 7.1). The mercury "hot spot" for fish tissue
concentrations occurred in this area. Both soil periphyton, floating periphyton mats and epiphytic
assemblages were more abundant with a species composition that was more representative of the
7-2
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historical Everglades assemblages, but still influenced by nutrient concentrations. Periphyton
and floe (detritus) formed the base of the food web in this area. Uptake of methylmercury by the
periphyton and sorption on to the floe provide a pathway for biomagnification of mercury
through the food web. Periphyton methylmercury concentrations were highest in the
southwestern portion of this area. Floe methylmercury concentrations were moderately high, but
much lower than concentrations measured in the area North of Alligator Alley in WCA2 during
the wet season.
South of Tamiami Trail, nutrient, TOC, and sulfate concentrations all decreased to levels
more typical of the historical Everglades ecosystem (Figure 7.1). Methylmercury concentrations
in both water, soil, floe, and periphyton were low; yet, fish mercury concentrations remained
elevated. Fish mercury concentrations were only slightly lower in Shark Slough than at the hot
spot in WCA3-SW. Bioaccumulation factors were highest in this area, indicating that food web
complexity and biomagnification through the food web might be important processes for
sustaining elevated mercury concentrations in fish. In addition, TOC and sulfide concentrations
were lowest in this area, so the methylmercury that was produced, although in lower
concentrations, might be more biologically available because of decreased interactions with
these ligands.
7.1.3 Conceptual Model Testing
Several approaches were used to both develop and test the risk hypotheses or conceptual
models. PCA was used to investigate the colinearity among variables and reduce the number of
variables from 25-30 to 4-5 for additional consideration. General linear models (linear, stepwise
and multiple regression models) were used to evaluate the relationship among various
constituents demonstrated through laboratory or field process studies to influence the
methylation of mercury and its subsequent transfer through the food web. Finally, structural
equation models or path analyses were used to investigate multiple linkages and transfers
through the ecosystem. The statistical approaches used and the rationale are included in
Chapter 3, Materials and Methods.
7.2 Exploratory Analyses
-------
A number of exploratory analyses were conducted to investigate the patterns observed in
the data and gain a better understanding of the underlying processes that might be contributing to
these patterns. Linear and multiple linear regression analyses were conducted based on the
conceptual models described in previous section. In general, the relationships among total
mercury in fish and other water quality variables, including methylmercury in periphyton were
weak, with explained variance (i.e., R2) coefficients of 0.1 to 0.36. Some of these relationships
were statistically significant because of the large sample size, but were not considered
ecologically significant.
7.2.1 South Florida Ecosystem
PCAs were conducted to investigate associations among variables for the entire South
Florida ecosystem and for the three subareas defined by the location of Alligator Alley and
Tamiami Trail (Tables 7.1 and 7.2, respectively). Comparing Phase I with Phase II for the entire
South Florida marsh ecosystem indicated little association offish total mercury with any
combinations of inorganic, organic, or biotic variables (Table 7.1). During Phase I, the first
principal component (PC) variables associated by media (i.e., water or soil) while the second PC
variables showed an inverse association of biotic mercury and inorganic ligands in water with
positive associations of soil methylmercury and soil periphyton methylmercury. During Phase II,
there also was a general association by media of the first PC variables. The second PC associated
primarily between biotic and abiotic variables. For Phase I, the first two components explained
about 60% of the total variance, while in Phase II the first two components explained about 90%
of the variance (Table 7.1). In both cases, only the first two components satisfied the Kaiser
(1960) criterion with eigenvalues greater than 1 (i.e., if a factor does not extract at least as much
information as the equivalent of one original variable, there is no reason to retain it).
Because of distinct north-south gradients and spatial patterns in many constituents,
different associations or relationships among variables were expected within the three subareas.
Therefore, PCAs were performed for the three subareas.
7.2.2 North of Alligator Alley
North of Alligator Alley, TOC, soil and water sulfate concentrations were closely
associated with the first PC in both Phase I and Phase II, fish total mercury, and soil
7-4
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methylmercury were associated with each other and inversely associated with TOC and sulfate
in the first PC in both Phase I and Phase II (Table 7.2). The second PC variables were not closely
associated in Phase I or II, although the soil variables were generally associated with the second
PC in Phase I. The first two components explained about 55 to 60% of the variance for both
Phase I and Phase II data. Periphyton assemblages typical of the Everglades ecosystem were rare
north of Alligator Alley and were not considered in these analyses.
7.2.3 Alligator Alley to Tamiami Trail
Between Alligator Alley and Tamiami Trail, the first two components explained about
60% of the variance in Phase I, but almost 100% of the variance in Phase II. Associations among
variables were different between Phase I and II in this subarea (Table 7.2). In Phase I, fish,
floating periphyton, and water methylmercury were associated in the first PC. Soil variables such
as soil periphyton methylmercury, soil sulfate, and AFDW also were associated in the first PC.
Water variables (e.g., TOC, SO4, floating periphyton methylmercury) were inversely associated
with the soil variables in the second PC. In Phase II, the inorganic variables (with the exception
of methylmercury in water) were closely associated with each other in the first PC (Table 7.2).
The two periphyton groups were associated, and fish mercury and soil methylmercury were
inversely associated with the other variables in the first PC. In the second PC, organic carbon
variables (i.e., TOC, AFDW), sulfate variables, and periphyton variables were closely associated
(Table 7.2). Total fish mercury and soil methylmercury were also associated in the second PC.
7.2.4 South of Tamiami Trail
South of Tamiami Trail, the first two components explained about 50% of the Phase I
data and 80% of the Phase II data. In Phase I, fish and soil periphyton methylmercury, floating
periphyton methylmercury and AFDW, and methylmercury in soil and water were associated
variable pairs in the first PC (Table 7.2). In the second PC, soil periphyton and water
methylmercury, sulfate in soil and water, and AFDW and soil methylmercury were associated
pairs. Fish total mercury concentration was not closely associated with these pairs. In Phase II,
fish mercury and TOC, and soil periphyton methylmercury and water sulfate pairs were
associated with the first PC (Table 7.2). AFDW and soil methylmercury were inversely
associated in the first PC. In the second PC, soil periphyton methylmercury and water sulfate
7-5
-------
were again associated and AFDW and soil methyl mercury were also inversely associated. Fish
mercury was not closely associated with any of the variables.
In general, the ligands—AFDW, TOC, sulfate (surrogate for sulfide) in both soil and
water—associated together. Associations among other variables were subarea and Phase
specific. Because of the spatial patterns in these associations, structural equation models or path
analyses were used to investigate the relationships among variables by Phase in these subareas.
7.3 Path Analysis
Structural equation models can be expressed with either standardized or reduced
coefficients. Standardized coefficients are useful in evaluating the relative strength of the
relationship among variables. Given a 1 unit standard deviation change in the independent
variable, standardized coefficients represent the relative change in the dependent variable based
on this unit change in standard deviation. For example, TP concentrations were associated with
TOC concentrations North of Alligator Alley in both Phase I and Phase II (Figure 7.2). A one
unit standard deviation change in TP in Phase I results in a 0.32 unit standard deviation change
in TOC during Phase I and 0.74 unit standard deviation change in TOC in Phase II. The
association between TP and TOC in Phase II was over twice as strong as it was in Phase I.
Standard coefficients are used in this and the following sections so that the relative strength of
associations among variables can be compared.
7.3.1 North of Alligator Alley
The risk hypotheses and conceptual model for the area north of Alligator Alley are shown
in Table 7.3 and Figure 7.1, respectively. North of Alligator Alley, organic carbon, nutrient, and
sulfate loading from the EAA dominated the area. TOC, TP, SO4, Cl concentrations and
conductivity were high in this area (See Chapter 6.0). Water quality patterns in the Refuge also
reflected some of this loading, but primarily around the perimeter, with the interior of the Refuge
being dominated by precipitation loadings. The Refuge is typically an acidic, oligotrophic
system. However, during 1999, the Refuge also dried and exhibited water quality patterns that
indicated that EAA loadings were influencing water quality in the interior of the Refuge.
However, because the Refuge usually has water quality and flow patterns that are distinct from
7-6
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the rest of the area north of Alligator Alley, the Refuge was treated separately in these analyses.
The path analyses north of the Alley included primarily sites in WCA2 and WCA3-N.
During Phase I, there were positive associations among TP, TOC and methylmercury in
water (Figure 7.2). The strength of the association between TOC and methylmercury (0.29)
North of Alligator Alley was similar to the strength of association between TP and TOC (0.32)
in Phase I. The TP-TOC association was over twice as strong in Phase II as in Phase I. During
Phase II, however, the association between TOC and methylmercury concentrations in water was
not statistically significant (Figure 7.2). Total mercury concentrations in water were positively
associated with methylmercury concentrations in water during both Phases, but over twice as
strong in Phase II.
Methylmercury concentrations in water were associated directly with total mercury
concentrations in fish during both Phases (Figure 7.2). The methylmercury-fish mercury
association, however, was about twice as strong in Phase II compared with Phase I. During
Phase I, there was a negative association between TOC concentrations in water and fish total
mercury.
Soil methylmercury concentrations were associated with soil TP concentrations in both
Phases (Figure 7.2). However, in Phase I, the soil methylmercury concentrations were also
associated with AFDW or organic carbon content of the soil. With the exception of the water
sulfate-soil sulfide relationship, there were no statistically significant interactions between
surface water and soil constituents north of Alligator Alley. Periphyton occurrence north of
Alligator Alley was too sparse during both Phase I and II to be considered in the structural
equation models (Figure 7.2).
In general, the associations among constituents north of Alligator Alley were relatively
simple and linear. Chemical constituent concentrations were high in this area, reflecting the TP,
TOC, and sulfate loadings from the EAA.
7.3.2 Alligator Alley to Tamiami Trail
Between Alligator Alley and Tamiami Trail, there were decreases in organic carbon,
nutrient, and sulfate concentrations, but significant increases in fish total mercury concentrations
in both phases. Methylmercury concentrations decreased only slightly below the elevated
methylmercury concentrations measured north of Alligator Alley.
7-7
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A greater number of pathways were statistically significant in the area between Alligator
Alley and Tamiami Trail (Figure 7.3). During Phase I, there was a positive association of TP
with TOC and negative association between TOC and water depth. TOC was also positively
associated with methylmercury concentrations in water, but the association was over twice as
strong as observed north of Alligator Alley. Both water depth and TP were positively associated,
albeit weakly associated, with methylmercury concentrations in this area. Total mercury
concentrations in water also were weakly associated with methylmercury concentrations. Sulfate
was negatively associated with total mercury and methylmercury in this area.
Periphyton abundance was greater between the Alley and the Trail in Phase I and there
was a positive association between methylmercury concentrations in water and floating
periphyton mats (Figure 7.3). The strength of this association between methylmercury and
floating periphyton was similar to the strength of the association between methylmercury and
fish. However, there was no statistically significant association between floating periphyton
methylmercury concentrations and fish total mercury concentrations, but there was a positive
association between soil periphyton methylmercury concentrations and fish total mercury
concentrations. The soil periphyton association, however, was about half the strength of the
relationship between methylmercury concentrations in water and fish total mercury
concentrations. There was an inverse relationship between soil periphyton methylmercury
concentrations and water depth (Figure 7.3). There also was an association between soil
methylmercury concentrations and fish total mercury concentrations, but no statistically
significant association between soil methylmercury and soil periphyton methylmercury
concentrations. Soil carbon content (AFDW) was positively associated with soil periphyton
methylmercury concentrations. During Phase I, soil methylmercury concentrations were
associated with soil TP and total mercury concentrations, but not carbon content.
During Phase II, there was also a positive association of TOC with TP concentrations and
a negative association of TOC with water depth (Figure 7.3). As in the area north of Alligator
Alley, during Phase II, there was no statistically significant association between methylmercury
and TOC concentrations in water. Methylmercury concentrations were positively associated with
sulfate and total mercury concentrations. Sulfate concentrations in water were positively
associated with sulfide concentrations in soil, but negatively associated with total mercury
concentrations in water, while sulfide in water was negatively associated with water depth. Soil
-------
sulfate concentrations were positively associated with sulfide concentrations in both soil and
water. Soil methylmercury concentrations were positively associated with soil TP concentrations
and negatively associated with carbon content. There was no statistically significant association
between soil methylmercury and fish total mercury concentrations during Phase II (Figure 7.3).
The periphyton abundance was insufficient during Phase II to evaluate periphyton
associations with any other constituents (Figure 7.3). Fish total mercury concentrations were
positively associated with methylmercury concentrations in water, and negatively associated
with sulfide concentrations in both water and soil.
Compared to the area north of Alligator Alley, the complexity of pathways among
constituents increased significantly, in both phases, between the Alley and Tamiami Trail. These
pathways reflected by positive and negative (inverse) associations among constituents, with the
primary inverse relationships occurring between sulfate and other constituents such as total
mercury and methylmercury in water. There were also multivariate relationships between fish
mercury concentrations and other constituents in both water and soil.
7.3.3 South of Tamiami Trail
South of Tamiami Trail, concentrations of all constituents are low, with the exception of
fish total mercury concentrations. The pathways and interactions among constituents increased in
complexity based on statistically significant pathways.
During Phase I, almost all associations among constituents were positive (Figure 7.4).
There were positive associations between TP and TOC concentrations; between water depth, TP,
TOC, total mercury, sulfate, and methylmercury concentrations; and between TP, TOC, and
floating periphyton (PU) methylmercury concentrations (Figure 7.4). There was a positive
association between TOC in water and soil periphyton methylmercury associations. There was a
positive association between methylmercury in floating periphyton and soil methylmercury, but
no associations between methylmercury in water and either periphyton assemblage or between
soil methylmercury and soil periphyton (Figure 7.4). Fish total mercury concentrations were
positively associated with methylmercury concentrations in water and in soil, but not with either
periphyton assemblage.
Soil methylmercury concentrations were positively associated with carbon content and
total mercury concentrations and negatively associated with sulfate concentrations (Figure 7.4).
7-9
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During Phase II, almost all the associations were positive (Figure 7.4). The only negative
association was between water depth and sulfide concentrations in water. TP and TOC were
positively related and TOC, total mercury and sulfate were positively related to methylmercury
concentrations in water (Figure 7.4). Soil methylmercury concentrations were positively
associated with soil total mercury concentrations (Figure 7.4). Soil methylmercury
concentrations were positively associated with soil total mercury concentrations. Methylmercury
concentrations in water, soil, and floe were positively related to fish mercury concentrations.
Fish total mercury concentrations also were positively associated with water depth and sulfide
concentrations in the water. Unfortunately, there were insufficient periphyton assemblages at the
sampling sites to evaluate periphyton associations with either chemical or biological
constituents.
Regardless of the Phase, the associations among constituents were complex and positive
in the oligotrophic area south of Tamiami Trail. Increased or decreased concentrations of almost
any constituents in this area would be expected to result in a corresponding increase or decrease
in methylmercury and fish total mercury concentrations.
The path analysis indicated that interactions among chemical and biological constituents
are critical in understanding and managing mercury contamination in the South Florida
Everglades ecosystem. In addition to multiple interactions, these relationships also change
spatially throughout the system as the constituent concentrations change. This set of structural
equation models provides one representation of the system, but there are other sets of risk
hypotheses that also might be useful in understanding how the system responds to changes in
water depth, nutrient, sulfate and TOC loading.
7.4 Alternative Risk Hypotheses and Paths
7.4.1 Alternative Structural Equation Models
Path analysis does not test causality, but rather whether the underlying data support the
proposed model structure. Because several models might be supported by the data, it is useful to
compare among the different model structures. For example, the explained variance (R2) for two
equations describing pathways for mercury in fish were similar in the Phase I area between
Alligator Alley and Tamiami Trail (Figure 7.5).
7-10
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For one model structure, the positive associations were among methylmercury in water,
soil, and soil periphyton and fish total mercury concentration (Figure 7.5). For a second model
structure, there were negative associations between TOC and sulfate with fish total mercury
concentrations and a positive association between methylmercury concentrations in water and
fish total mercury concentrations (Figure 7.5). The strength of the associations between
methylmercury in soil and soil periphyton was similar to the strength of the negative associations
between TOC and sulfate and fish total mercury concentrations. The strength of the association
between water methylmercury concentration and fish mercury was stronger in the second
equation than in the first, but both explained similar portions of the variance in fish mercury
concentrations.
These two structural equation models indicate that it is likely there are alternative
pathways for methylmercury from its formation to fish tissue concentrations. For example, the
detritus food chain is not characterized in the Phase I or II data because constituents associated
with this food chain or food web were not measured during the surveys. Alternative pathways
through the producer and detrital food webs might be hypothesized because both water and soil
methylmercury concentrations were associated with fish tissue mercury concentrations.
Assessing food web dynamics is difficult with synoptic surveys, but these surveys clearly
indicate the importance of considering selected process studies to investigate these associations.
In addition, the spatial patterns apparent from the synoptic surveys provide insight into locations
for conducting these studies.
7.4.2 Path Analysis Using Floe
During Phase II, floe samples were collected at all sites where water samples were
collected. Floe sampling was described in Chapter 3.0 Materials and Methods. The floe samples
might be used to represent a detritus-based food web. While the organisms feeding on detritus
were not measured, these analyses might provide insight into detritus as a potential pathway for
mercury bioaccumulation through the food web.
Additional structural equations were evaluated for floe relationships with other water
quality constituents, water, soil, and periphyton methylmercury, and fish total mercury
concentrations. Four additional structural equations were evaluated to determine whether the
data supported hypotheses about the factors influencing floe methylmercury concentrations and
7-11
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the potential for floe methylmercury to influence fish total mercury concentrations. Only one
equation was significant and only in the area south of Tamiami Trail. Methylmercury
concentrations in floe were positively associated with fish tissue mercury concentrations.
7.4.3 Path Analysis for WCA3-SE and WCA3-SW
Phase I and Phase II data in the area between Alligator Alley and Tamiami Trail were
combined to increase the sample size. With a larger number of sites, the power of the statistical
analyses was increased, which permitted investigating differences between WCA-SE and
WCA-SW. The path analyses for these two areas indicated there were significant differences in
the pathways and factors associated with various mercury species (Figure 7.6).
The WCA3-SE area is associated with the dominant flow path through the South Florida
Everglades ecosystem. In WCA3-SE, TOC had a strong negative association with fish total
mercury concentrations, a relatively weak positive relationship with total mercury concentrations
in water, and a moderate positive relationship with methylmercury concentrations in water.
There was an inverse relationship between water depth and TOC and between total mercury and
sulfate concentrations in water in this area (Figure 7.6). There was no statistical association
between soil constituents and water constituents.
In WCA3-SW, TOC interactions with methylmercury concentrations were weaker and
there was no statistically significant relationship between TOC and fish mercury concentrations.
The sulfur interactions were more pronounced in WCA3-SW than they were in the SE area, with
a relatively weak, but positive relationship between sulfate and methylmercury concentrations,
and a weak inverse relationship between total mercury and sulfate concentrations in water and
water depth and sulfide concentrations by water. Water sulfate concentrations also were
positively associated with porewater sulfide concentrations in the soil. In WCA3-SW, the soil
carbon content (AFDW) was inversely related to soil methylmercury concentrations. In previous
analyses, soil carbon content showed a positive relationship with methylmercury, if a statistical
relationship was observed.
In both areas, methylmercury concentrations in water were the only mercury species
associated with fish total mercury concentrations. Unfortunately, there were insufficient soil
periphyton assemblages in each separate area to investigate periphyton associations with any
statistical rigor.
7-12
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Based on the path analyses, it appeared that TOC influenced the bioavailability of
methylmercury in the southeastern portion of WCA3, while sulfate reduction and sulfur
dynamics appeared to be more important in influencing the bioavailability of methylmercury in
the southwestern portion of WCA3. While both sulfate and TOC are present in both areas, the
relative importance of these constituents and their interactions did appear to vary between the
two areas.
7.5 Synthesis
In general, the statistically significant paths associated with mercury dynamics were
relatively sparse in the area north of Alligator Alley, where TOC, TP, sulfate, sulfide, and other
chemical constituent concentrations were high; relatively complex between the Alley and the
Trail, where chemical constituent concentrations were changing dramatically; and nearly all
positive in the area south of Tamiami Trail, where chemical constituent concentrations were low,
the system was ultra-oligotrophic, and biological food web complexity was high. There was no
single constituent or path that represented the dominant relationship throughout the South
Florida Everglades ecosystem.
The paucity of significant interactions north of Alligator Alley needs to be considered
cautiously. Regression and association analyses are based on gradient or variation in responses.
TOC and sulfate concentrations north of Alligator Alley are high, with less variability than is
found in other subareas within the system.
In all areas and in both Phases, water depth was associated with a number of constituents
that influenced methylmercury species. Although water depth is not equivalent to hydroperiod, it
might serve as a surrogate, which would indicate that system mercury responses might be
expected to be influenced by hydroperiod. In addition, there were interactions among the
inorganic ligands, TOC, sulfide, and soil organic content (AFDW) and total mercury, and
methylmercury in water and soil. The interactions among hydropattern and nutrient, organic
carbon, and sulfate loadings from the EAA, with mercury contamination change from north to
south in the South Florida ecosystem.
"Top down" versus "bottom up" is a concept used to explain how control of patterns and
processes in aquatic systems changes during eutrophication or as nutrient loading to a system
increases (Carpenter et al., 1985 and 1995). Some of these ecological attributes are compared
7-13
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between oligotrophic and eutrophic systems in Table 7.4. The comparison is relevant because
eutrophication, in part, affects mercury contamination patterns and processes and because the
South Florida ecosystem shows the entire gradient from eutrophic in the north to oligotrophic in
the south. The concept is a useful analog for understanding mercury contamination.
Oligotrophic systems can be viewed as "top-down" controlled ecosystems.
Characteristics of top-down control are: 1) nutrient cycles are tightly coupled because nutrients
are limiting; 2) biotic-abiotic interactions control the response of the ecosystem; and 3) the
variability in biomass production is relatively small, varying by a factor of only 4 to 5 over the
year (Table 7.4). Oligotrophic systems usually have a seasonal renewal of nutrients, such as
during the rainy season. The predictability of the response of oligotrophic ecosystems is
relatively low because there are multiple factors that control the interactions among biotic and
abiotic constituents and we don't understand these interactions very well (Table 7.4).
Eutrophic systems can be viewed as "bottom-up" controlled ecosystems. Characteristics
of bottom-up control include: 1) nutrient cycles are leaky and decoupled from higher levels in
the food chain; 2) physical factors such as inflow, hydrodynamic mixing and sedimentation
control system responses; and 3) there typically are large variations in biomass production,
varying by over an order of magnitude throughout the year (Table 7.4). Nutrients are supplied
primarily through inflows and are relatively continuous throughout the year. The predictability
of the system response is relatively high. Statistical relationships between nutrient loads and
biomass can be developed (i.e., Vollenweider-type nutrient loading models) (Table 7.4).
North of Alligator Alley, the marsh is eutrophic, chemical constituent concentrations are
high (e.g., TP, TOC, SO4), and chemical interactions appear to control mercury bioavailability
and bioaccumulation (i.e., bottom-up), the food web in this eutrophic area is likely impacted by
the organic loadings.
South of Tamiami Trail, the marsh is oligotrophic, chemical constituent concentrations
are low, and biotic-abiotic interactions are likely much more tightly coupled (i.e., top-down).
Although methylmercury concentrations are low, more of this methylmercury is likely
biologically available and bioaccumulated and biomagnified through the food web. The
methylmercury BAF is significantly higher in this area than in the north.
Between the Alley and the Trail, the system is in transition between a eutrophic and
oligotrophic ecosystem. Productivity is still stimulated by nutrients, but chemical interactions
7-14
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and interferences with methylmercury bioavailability and bioaccumulation have decreased,
methylmercury concentrations are high, and mosquitofish mercury concentrations are at their
highest values. Food webs are likely more tightly coupled, contributing to the elevated fish
mercury concentrations. Transition areas typically are dynamic and have characteristics of both
eutrophic and oligotrophic ecosystems.
Understanding some of the eutrophication processes helps our understanding of mercury
contamination. For example, the path analyses indicated that the area between Alligator Alley
and Tamiami Trail was dynamic, with multiple pathways and interactions among chemical
constituents, methylmercury in water and soil, periphyton, and fish mercury concentrations.
North of Alligator Alley, where the system was eutrophic and chemical constituent
concentrations were high, the pathways were simple. South of Tamiami Trail, where the system
is oligotrophic, the pathways are relatively complex, with both floe and water methylmercury
concentrations associated with fish mercury concentrations. These analyses indicated that both
detrital and autotrophic pathways contributed to fish mercury concentrations. Brumbaugh et al.
(2001) also found that the associations offish mercury were strongly correlated with water
methylmercury concentrations in a national study of 21 NAWQA watersheds.
7-15
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Table 7.1. Eigenvectors for the first (PCI) and second (PC2) principal components between
Phase I and Phase II for selected variables.
Constituent
THg-Fish
Soil Periphyton-MeHg
Float Periphyton-MeHg
TOC
S04
MeHg
AFDW-Soil
SO4-Soil
MeHg-Soil
% Variance Explained
Phase I
PCI
0.23
0.60
0.78
0.67
0.44
0.86
0.79
0.55
0.61
41
PC2
0.59
0.41
0.17
-0.34
-0.72
-0.12
0.20
-0.43
0.36
17
Phase II
PCI
0.03
0.69
0.63
0.86
0.86
0.88
0.91
0.83
-0.37
53
PC2
-1.00
-0.56
-0.72
0.51
0.21
0.46
-0.40
0.55
0.66
36
7-18
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Table 7.2. Eigenvectors for the first (PCI) and second (PC2) principal components from
analysis of biotic and abiotic characteristics for the three subareas in Phase I and
Phase II.
Constituent
Phase I
PCI
PC2
Phase II
PCI
PC2
North of Alligator Alley
Thg-Fish
TOC
S04
MeHg
AFDW
SO4-Soil
MeHg-Soil
% Variance Explained
-0.42
0.77
0.89
0.13
-0.11
0.53
-0.51
31
0.35
0.22
-0.03
0.69
0.52
0.54
0.61
23
0.63
-0.76
-0.79
0.15
0.44
-0.78
0.51
38
0.54
0.19
0.22
0.83
0.57
0.44
-0.11
23
Alligator Alley to Tamiami Trail
THg-Fish
Soil Periphyton - MeHg
Float Periphyton - MeHg
TOC
S04
MeHg
AFDW
SO4-Soil
MeHg-Soil
% Variance Explained
0.73
0.56
0.75
0.61
0.12
0.81
0.51
0.49
0.39
35
0.36
0.56
-0.25
-0.52
-0.72
-0.38
0.38
0.16
0.12
18
-0.44
0.76
0.82
0.99
0.90
0.99
1.00
1.00
-0.54
72
0.90
0.65
0.57
0.10
-0.44
0.14
0.07
-0.03
0.84
28
South of Tamiami Trail
THg-Fish
Soil Periphyton - MeHg
Float Periphyton - MeHg
TOC
S04
MeHg
AFDW
SO4-Soil
MeHg-Soil
% Variance Explained
0.51
0.49
0.73
0.24
0.03
0.58
0.75
-0.34
0.67
28
-0.04
-0.36
0.21
-0.20
0.74
-0.33
0.35
0.77
0.40
19
0.76
0.90
-
0.76
0.98
-0.02
0.58
0.33
-0.57
46
0.54
0.19
-
0.36
0.17
-0.89
-0.82
-0.33
0.82
34
7-19
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Table 7.3. Structural equations and risk hypotheses.
North of Alligator Alley
TOC = C + TP + Water Depth
THg-W = TOC+SO4+S2
THg-Soil = AFDW+SO4-Soil+S2-Soil
MeHg-W = C+TOC+SO4+TP+THg+S2 +Water Depth+SO4-Soil
MeHg-Soil = C+AFDW+S2+TPS+THgS+SO4-Soil
S2--W = C+SO4+Water Depth+SO4-Soil
S2--Soil = C+SO4+AFDW+SO4-Soil
THg-FISH = C+TOC+SO4+S2-+Water Depth+MeHg-W+MeHg-Soil+S2--Soil+SO4-Soil
Alligator Alley to Tamiami Trail
TOC = C + TP + Water Depth
THg-W = TOC+SO4+S2
THg-Soil = AFDW+SO4-Soil+S2-Soil
MeHg-W = C + TOC+SO4+TP+THg+S2 +Water Depth+SO4-Soil
MeHg-Soil = C+AFDW+S2+TPS+THgS+SO4+SO4-Soil
S2--W = C+SO4+Water Depth+SO4-Soil
S2--Soil = C+SO4+AFDW+SO4-Soil
MeHg-PU = C+TOC+SO4+S2 +TP+MeHg-W+MeHg-Soil+Water Depth+SO4-Soil
MeHg-PS = C+TOC+SO4+S2 +TP+AFDW+TP-Soil+MeHg-W+MeHg-Soil+S2 +Water Depth+SO4-
Soil
THg-FISH = C+TOC+SO4+S2-+Water Depth+MeHg-W+MeHg-Soil+S2--Soil+SO4-Soil
THg-Fish = C+TOC+SO4+S2-+Water Depth+MeHg-W+MeHg-Soil+MeHg-PU+SO4-Soil
THg-Fish = C+TOC+SO4+S2-+Water Depth+MeHg-W+MeHg-Soil+MeHg-PS+SO4-Soil
THg-Fish = C+TOC+SO4+S2-+Water Depth+MeHg-W+MeHg-Soil+MeHg-PU+MeHg-PS+SO4-Soil
South of Tamiami Trail
TOC = C + TP + Water Depth
THg-W = TOC+SO4+S2
THg-Soil = AFDW+SO4-Soil+S2-Soil
MeHg-W = C + TOC+SO4+TP+THg+S2 +Water Depth+SO4-Soil
MeHg-Soil = C+AFDW+S2 +TPS+THgS+SO4+SO4-Soil
S2--W = C+SO4+Water Depth+SO4-Soil
S2--Soil = C+SO4+AFDW+SO4-Soil
MeHg-PU = C+TOC+SO4+S2 +TP+MeHg-W+MeHg-Soil+Water Depth+SO4-Soil
MeHg-PS = C+TOC+SO4+S2 +TP+AFDW+TP-Soil+MeHg-W+MeHg-Soil+S2 +Water Depth+SO4-
Soil
THg-FISH = C+TOC+SO4+S2-+Water Depth+MeHg-W+MeHg-Soil+S2--Soil+SO4-Soil
THg-Fish = C+TOC+SO4+S2-+Water Depth+MeHg-W+MeHg-Soil+MeHg-PU+SO4-Soil
THg-Fish = C+TOC+SO4+S2-+Water Depth+MeHg-W+MeHg-Soil+MeHg-PS+SO4-Soil
THg-Fish = C+TOC+SO4+S2 +Water Depth+MeHg-W+MeHg-Soil+MeHg-PU+MeHg-PS+SO4-Soil
7-20
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Table 7.4 Comparison of processes and patterns between oligotrophic and eutrophic systems.
Ecological Attribute
Controlling Factors
Nutrient Cycling
Forcing Functions
Temporal Patterns
Nutrient Requirements
Predictability
Oligotrophic Systems
"Top-down"
Tightly coupled nutrient cycles-
algae-grazers-microbes,
regenerated in water columns
Biotic-abiotic interactions
Relatively small biomass
variability
Seasonal renewal
Low-multivariate relationships
among biomass and controlling
factors not well understood
Eutrophic Systems
"Bottom-up"
Loose nutrient
cycling-decoupled from higher
food chain, supplied from
inflow, sediment cycling
Physical factors-inflow,
hydrodynamic mixing
Large biomass variability
Continuous supply
High-statistical relationships
between nutrient loads and
biomass
7-21
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THg
SO.
Mercury Interactions:
Conceptual Models
MeHg-Mat Peri
.
(Other Organ.)
THg
AFDW-C *SO4
Above Alligator Alley
AFDW-C SO4
Between Alligator Alley
and Tamiami Trail
MeHg
Note: Arrow size proportional to
importance of interaction.
THg
AFDW-C SO4
Below Tamiami Trail
Insects
Fish
Figure 7.1. Conceptual models of mercury interactions in three areas of South Florida formed by Alligator Alley (1-75) and
Tamiami Trail (US Hwy 41).
-------
THg
\
0.36\
T
0
Phase 1 - North of Alliaator Alley
TP
|032
TOC
/ \
A/029 \
y r\ oo\
^ -U.ZO ^
THg-Fish Soil-Water
MeHg-Soil lnterface
9 0.41 / \0.32
78 AFDW TP
Phase II - North of Alliaator Alley
™9 ^0.74
\0.60
1 T
TOC
MeHg-w
SCK 050-
-o.42\ THg-Fish
>^
MeHg-Soil
••
0.42 nV^v
S04 — ^S2' °'32 TP
0.80
AFDW — ^THg
Soil-Water
Interface
Figure 7.2. Phase I, II path analyses for the area north of Alligator .Alley.
-------
Phase I -Alligator Alley to Tamiami Trail
Water
Depth
-0.41
MeHg-PS-o5o~
MeHg-PU
THg-Fish
Soil-Water
0.56^
AFDW
0.86
MeHg-Soil
0.30J \0-23
THg TP
0.34
Interface
Insufficient
Periphyton for
Analysis
Phase II -Alligator Alley to Tamiami Trail
Water ,024
Depth
-0.62
0.53
MeHg-w
VO-53
^THg-Fish
025
MeH9-Soil S°
AFDW
0.63
Soil-Water
Interface
-0.26
Figiu'e 7.3. Phase I, II path analyses for the area between Alligator Alley and Tamiami Trail.
-------
Phase I - South of Tamiami Trail
Water
Depth
°-14 "^ MeHg-w
MeHg-PU
THg-Fish
MeHg-PS/0.44^T Soil-Water
o.33^p,MeHg-Soil^°-20
AFDW^ ^j
Interface
0.51
S04
Phase II - South of Tamiami Trail
Water
Depth
-0.51
AFDW
0.76
^0.33
MeHg-Floc
Soil-Water
Interface
Insufficient
Periphyton
Figure 7.4. Phase I, II path analyses for the area south of Tamiami Trail.
-------
Phase I Alligator Alley - Tamiami Trail
Equation THg-F = C + MeHg-w + MeHg Soil + MeHg PS
R:= 0.485
MeHg-w
0.63
MeHg-PS
THg-Fish
0.34
MeHg-Soil
Equation THg F = C - TOC - S04-w + MeHg-w
R2 = 0.482
TOC
-0.31
MeHg-w
+0.76
Figure 7.5. Alternative path analysis for pathway for fish total mercury in Phase I area
between Alligator Alley and Tamiami Trail.
-------
WCA - SE
-o.:
so;
Water
Depth
THg-w
MeHg-PU
THg-Fish
So\\-\Natef
MeHg-Soil
AFDW
I interface
038
-°'38
Water
Depth
0.33 TP
0.65T1 TOC
0.34
i
MeHg-w
THg-Fish
Soil-V\^ter
MeHg-Soil
-0.39? \ 0.49
I nterface
THg
^ AFDW
0.83
TP
Figiu-e 7.6. Phase I, II path analyses for WCA3-SE and WCA3-SW.
-------
8.0 MERCURY ECOLOGICAL RISK ASSESSMENT
An early conclusion from the South Florida Ecosystem Assessment Project was that the
greatest threat to the Everglades ecosystem was to assume that the problems facing the
Everglades are independent, and that these problems can be managed independently (Stober et al
1996, 1998). The complex interactions among and effects of ecosystem level stressors in the
Everglades is exemplified in an assessment of ecological risk from mercury. This chapter
presents the ecological risk assessment for mercury in prey fish in the South Florida Everglades
ecosystem. Specifically, it (1) presents an overview of the approaches and models used to assess
the risks associated with mercury in the Everglades ecosystem; (2) summarizes the results of the
Everglades mercury ecological risk assessment for prey fish; (3) demonstrates the ability of the
mercury ecological risk assessment models to evaluate effects of management scenarios being
proposed for the restoration of the Everglades ecosystem (e.g., restoration of hydrology, nutrient
reduction via agricultural BMPs, and mercury emissions reductions) on mercury concentrations
in Everglades biota; and (4) discusses how this risk assessment links to or serves as the
foundation for the probabilistic mercury risk assessment for wading birds being conducted by the
South Florida Water Management District. As additional large-scale data are collected, process
studies completed, and monitoring of the Everglades ecosystem continues, the Everglades
mercury ecological risk assessment will be refined so that the risks to prey fish and wading birds
and benefits associated with proposed management alternatives can be evaluated more fully.
8.1 EPA Ecological Risk Assessment Framework
The EPA ecological risk assessment framework (EPA 1992) was used as the foundation
for the large-scale South Florida Ecosystem Assessment project and early assessment of mercury
in the South Florida Everglades ecosystem. This framework consists of three principal phases:
problem formulation, analysis, and risk characterization. The ecological risk assessment
framework was used because it provided a flexible, yet scientifically defensible approach for
conducting this large-scale, multi-stressor ecosystem assessment. The iterative format of the
framework was also consistent with the adaptive management approach being used to restore the
South Florida Everglades Ecosystem.
3-1
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As part of the problem formulation phase, a precursor conceptual model of mercury
cycling in the Everglades was developed following a review of available data and information on
mercury in the Everglades ecosystem. This conceptual model (Figure 7.1) shows the factors as
well as the interactions and linkages between the factors that were thought to contribute to
mercury in the Everglades ecosystem. Specifically, the precursor conceptual model suggested
that the deposition of anthropogenic sources of mercury from local, regional, and global
emissions, combined with specific nutrient inputs from the EAA, were creating conditions
conducive to mercury methylation, accumulation, and biomamagnification through the food
chain. Several testable mercury hypotheses were developed from this initial model. These
hypotheses guided data collection by the US EPA during the Phase I assessment (i.e., from 1993
through 1996) (Stober et al. 1998).
In 1998, EPA published a final set of draft guidelines in the Federal Register for
conducting ecological risk assessment (EPA 1998). These guidelines, which were built on the
1992 risk assessment framework, retained the major phases of the ecological risk assessment
framework, but changed the terminology and steps within the phases. These changes were made
to guide ecological assessments both on local and landscape scales. Such assessments often
require the integration of physical, biological, and chemical stressors.
The ecological risk assessment guidelines provide decision-makers with an approach for
considering available scientific information along with social, legal, political, or economic
information or factors when selecting a course of action. The initial ecological risk assessment
framework for the Everglades was modified to incorporate the terminology and the approaches
of the 1998 ecological risk assessment guidelines (EPA 1998).
8.2 Problem Formulation
8.2.1 Spatial and Temporal Patterns of Mercury
The data collected during the Phase I assessment (Stober et al. 1998) and by others (e.g.,
Florida Game and Fish Commission and the University of Florida) documented the spatial extent
of, and temporal changes in, mercury concentrations in water, soils, fish, and wading birds in the
Everglades ecosystem. These studies showed that mercury "hot spots" in prey fish species
(Gambusia sp.), periphyton, and wading birds occur within the Central portion of WCM3
(Stober et al. 1998) and that the spatial and temporal distribution of these hot spots is a function
8-2
-------
of the complex interaction between hydroperiod, nutrient status, food web complexity, individual
species life cycle requirements, and other factors. The Phase I study indicated there were no
apparent discharge point sources of mercury (e.g., EAA) and atmospheric deposition was the
primary source of mercury in the Everglades. The previous chapters discussed the pertinent
information on the sources of mercury, exposure pathways, factors and processes affecting
mercury exposure, and observed mercury concentrations in mosquitofish (Gambusia sp.}.
Since the Phase I assessment, mercury concentration data also have been collected in
largemouth bass (Lange et al. 2001), a top predator fish species. Lange et al. (2001) showed that
similar to Gambusia., mercury concentrations in largemouth bass in the Everglades was highly
variable spatially, with highest concentrations observed from the Central Everglades basin.
Rumbold et al. (1999) completed a probabilistic risk assessment of mercury in wading
birds. This study concluded that mercury risks to wading birds in the Everglades also varied
spatially and temporally. Comparing the exposure distributions for wading birds with feeding
ranges limited to the Central Everglades basin to exposures integrated over the whole Everglades
ecosystem, Rumbold et al. (1999) found that those birds foraging in the Central Everglades basin
were at higher risk (i.e., 75% vs 35%) of exceeding the NOAEL than when exposure
distributions over the whole Everglades were used. Specifically, wading bird colonies located in
the mercury hot spots in the central portion of the Everglades between Alligator Alley and
Tamiami Trail, were at higher risk than those colonies that feed elsewhere in the Everglades
ecosystem. The data from Lange et al. (1999) and Rumbold et al. (1999) support work by Stober
et al. (1998) indicating that there are spatial differences in mercury in ecological receptors in the
Everglades. Moreover, these studies point to the importance of selecting sampling locations for
estimating risks in the Everglades ecosystem. Rumbold et al. (1999) stated "recognition of
scaling issues is critical in evaluating risk in environments with spatially highly variable
concentrations, i.e., hot spots."
These studies also point to the importance of temporal scales when interpreting data and
the importance of evaluating ecosystem characteristics over longer temporal scales than a few
years. For example, both Lange et al. (2001) and Frederick et al. (1999) indicate mercury
concentrations in largemouth bass and Great Egret chick feathers, respectively, have been
declining since about 1994. Mercury emissions have declined since 1989, which might have
contributed to reduced mercury deposition over the Everglades ecosystem. However, from 1995
-------
to the present, precipitation has also declined annually, which significantly affects mercury
deposition. Pollman et al. (2001) stated they found no statistically significant trends in mercury
deposition from 1994 to the present. Data collected over a longer period of time are needed to
validate whether this decreasing trend is real and statistically valid.
8.2.2 Assessment Endpoints
Historically, largemouth bass and other top predator fish species, that routinely were
consumed, represented the primary assessment endpoints for the mercury risk assessment for the
Everglades. These endpoints were selected primarily because of human health concerns
associated with fish consumption and widespread fishing consumption advisories throughout the
Everglades since 1992. In 1989, when an endangered Florida panther was thought to have died
from mercury toxicity, ecological receptors also became endpoints of concern.
Initial ecological assessment endpoints for the Everglades mercury ecological risk
assessment included the Florida panther, the American alligator, and the Everglades wading bird
populations. The public's desire to protect these species was a driving factor behind the selection
of these species as the initial assessment endpoints for the mercury ecological risk assessment.
Specifically, concerns over the survival of the endangered Florida panther (Roelke et al. 1991),
declines in wading bird populations since the 1930s (Ogden 1994), and studies showing the
potential effects of mercury accumulation in the food web on reproductive success of wading
birds (Fredrick et al. 1999, Fredrick et al. 1997, Fredrick and Spalding 1994) were important
drivers in the selection of these species as ecological assessment endpoints.
Both the Florida panther and the American alligator have been reevaluated as assessment
endpoints for the mercury risk assessment because of a number of confounding factors. Other
ecosystem stressors, such as PCBs, inbreeding, reduced population size, and habitat loss have
lead to the elimination of the Florida panther as an assessment endpoint. Similarly, the American
alligator has not been retained as an ecological assessment endpoint for the mercury risk
assessment. Fish species such as mosquitofish and largemouth bass, and wading birds, including
the Great egret, great blue heron, wood stork, and anhinga, predominately a fish eating species,
are likely to become the final assessment endpoints for the mercury ecological risk assessment in
the South Florida Everglades ecosystem. Wading birds in particular are emerging as the group at
8-4
-------
highest risk from mercury in the Everglades further supporting this group of species as mercury
ecological risk assessment endpoints.
8.2.3 Conceptual Model
An initial conceptual model of mercury cycling in the Everglades was used to guide the
Phase I activities. This conceptual model described the sources of mercury to the South Florida
Everglades ecosystem, how it entered the ecosystem, processes and factors affecting and
controlling mercury methylation and bioavailability, and factors that result in direct exposure,
indirect exposure, and biomagnification through the food chain. The Phase I results were
reported previously in Stober et al. (1998) along with data gaps and needs for refining the
conceptual model. Specifically, process studies to elucidate methylation/demethylation in the
Everglades and effects of other stressors on these processes were identified as important in
understanding transport and availability of mercury in the Everglades. Critical path analyses for
top terrestrial predators also was identified as being needed (Stober et al. 1998). Based on the
Phase I study (Stober et al. 1998) and results of mercury process studies and food web studies
(Cleckner et al. 1998, 1999; Gilmour et al. 1998, 2000; Hurley et al. 1998; Krabbenhoft et al.
2000; Loftus et al 1998), the Everglades mercury conceptual model was refined.
8.2.4 Design and Planning
From the onset, the South Florida Ecosystem Assessment project has been designed to
utilize an ecological risk assessment approach to evaluate the effects of and interactions between
the multiple stressors present in the Everglades ecosystem. Both large scale collection of data
and local process or site specific data and multiple lines of evidence developed through data
analysis are used to support, refute, and revise the risk hypotheses for mercury.
Since the early 1990s, many studies have been conducted by cooperating agencies to
collect the scientific data needed to complete the ecological risk assessment. During Phase II, the
focus on the data collection in the South Florida ecosystem by EPA was to more fully evaluate
the interactions and linkages between the principal variables within the mercury conceptual
models both spatially and temporally in 1999 during two seasons: cycle 4 (the dry season) and
cycle 5 (the wet season). As described in previous chapters, data collection activities in 1999
$-5
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were focused within the marsh using the probability sampling approach used previously for the
Phase I studies.
8.3 Analysis
The analysis phase of an ecological risk assessment includes two principal activities:
exposure characterization, which is the contact or co-occurrence of a stressor with a receptor,
and ecological effects characterization, or the measure of an effect. Exposure characterization
describes sources of stressors, their distribution in the environment, and their contact or co-
occurrence with ecological receptors. Ecological effects characterization evaluates stressor-
response relationships or evidence that exposure to stressors causes an observed response.
8.3.1 Measures of Exposure
Mercury concentrations in mosquitofish and in largemouth bass are two measures of
wading bird exposure to mercury in the Everglades. Data collected throughout the Everglades
ecosystem during Phase I (1994 through 1996) (Stober et al. 1998) showed that MeHg
concentrations in mosquitofish were lower in the area north of Alligator Alley and were higher
in the central and southern areas. Similarly, Lange et al. (1999, 2001) showed that concentrations
in largemouth bass also coincided with the mosquitofish hot spots (Figure 6.53). These areas of
high MeHg concentrations in fish coincide with some of the largest breeding colonies for wading
birds, e.g., the great egret and blue heron (Figure 6.53). Furthermore, the mercury hot spots for
mosquitofish also coincided with wading bird rookeries where the highest concentrations of
mercury were found in great egret chick feathers (Frederick et al. 1997).
Additional Phase II data, described in previous chapters, also showed that hydroperiod is
an important factor influencing mercury concentrations in fish. Hydroperiod is an equally
important factor influencing feeding behavior and therefore exposure in wading birds. This is
particularly important on a seasonal basis and during some years when water depths in the South
Florida ecosystem decrease during drier seasons or years of low precipitation. As indicated by
Rumbold et al. (1999), "consideration of wading bird feeding habits and activity patterns is,
therefore, essential in defining exposures integrated over different spatial scales." Sampling of
mosquitofish and largemouth bass to develop exposure distributions for wading bird populations
8-6
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in the Everglades, therefore, must consider spatial and temporal variability in order to estimate
risks to wading birds.
8.3.2 Measures of Ecosystem and Receptor Characteristics
Ecosystem and receptor characteristics were described in detail in Chapters 4 through 6.
Consistent spatial distribution of MeHg in water, periphyton, mosquitofish, and wading birds
indicates a consistency in the location of enhanced bioaccumulation and biomagnification in the
food chain between Alligator Alley and Tamiami Trail, and south of Tamiami Trail through
Shark River Slough.
8.3.3 Measures of Effects
Effects of MeHg in wildlife are summarized in a number of publications (Barr 1986;
Bouton et al. 1999; Fredrick et al. 1999, 1997; Heinz 1979 Rumbold et all999; Nocera and
Taylor 1998; and Wolfe et al. 1998). Effects of MeHg range widely from sublethal effects to the
nervous system to effects on excretory, reproductive or immune system functions (Rumbold et
al. 1999). Effects of MeHg at fairly low doses or as concentrations of mercury in the blood
increase have been fairly well described for birds at the individual species level. These
documented effects of MeHg in wildlife species however, generally come from laboratory
studies, controlled mesocosm studies, and on individuals of a specific species. Although some
field studies have been conducted in the Everglades ecosystem (Fredrick et al. 1997, Sepulveda
et al. 1995), population and community level effects of MeHg, particularly on survival of
fledglings and reproductive success, have not been documented.
MeHg effects in fish also are wide ranging. Changes in fish behavior, such as reduced
feeding efficiency, occur when mercury concentrations exceed 6 ng/L MeHg. Other documented
effects include transovarian mercury transfer (Weiner et al. 1996) and decreased condition index.
Similar to bird data, this information is obtained from laboratory or mesocosm studies on single
individuals, not in situ at the population level.
8.3.4 Exposure Analysis
The reduced structural equations shown in Table 8.1 can be used to estimate mercury
concentrations in Gambusia for differing estimates of mercury deposition that might result from
3-7
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emission controls. These reduced structural equations can also be used to assess the effects of
nutrient reduction (e.g., TP) or hydrologic modifications to Gambusia mercury concentrations.
8.3.5 Ecological Response Analysis
Previous documentation indicates that wading bird colonies have been declining in the
Florida Everglades since 1930s (Ogden 1994). Fredrick et al. (1999) showed that fledgling
wading birds reared in colonies in these hot spots had elevated levels of liver mercury
concentrations. Nevertheless, effects on wading bird populations and communities in the
Everglades are not well documented.
The probabilistic mercury risk assessment for wading birds (Rumbold et al. 1999)
provided the foundation for estimating wading bird exposure to mercury in the Everglades.
Based on exposure distributions developed from data collected by Lange et al. (1999), wading
birds with feeding ranges limited to the Central Everglades basin were at greater risk (i.e., 75%
vs 35%) of exceeding the NOAEL than when exposure distributions over the whole Everglades
were used. Specifically, wading birds colonies located in the mercury hot spots in the central
portion of the Everglades between Alligator Alley and Tamiami Trail, were at higher risk than
those colonies that feed elsewhere in the Everglades ecosystem. The probabilistic risk
assessment and the Phase I and II studies point to the importance of sampling location selection
for estimating risks in the Everglades ecosystem.
8.3.6 Exposure Profile
The reduced equations were used to project changes that might occur in methylmercury
and total mercury in fish concentrations from changes in total phosphorus, sulfate and/or total
mercury concentrations through management actions. Table 8.2 includes a comparison of the
observed versus predicted constituent concentrations, projected changes in constituent
concentrations following a reduction in total phosphorus to 10 //g/L (5 //g/L south of Tamiami
Trail), reduction in sulfate to 0.5 mg/L (both in the area between Alligator Alley and Tamiami
Trail and south of Tamiami Trail), reduction in total mercury to 1 ng/L, and finally with a
simultaneous reduction in total phosphorus, sulfate and total mercury. Table 8.2 also includes a
comparison of the observed median constituent concentrations with the reduced constituent
concentration for the input variables for reference. Reduced equations were developed for both
-------
Phase I and Phase II. However, only the Phase I reduced equations were used for the projections
because the observed constituent concentrations were better represented using Phase I rather
than Phase II equations.
North of Alligator Alley, the reduced equations overpredicted both water methylmercury
and fish mercury concentrations compared with the observed values (Table 8.2). In part, this is
probably because there was no significant relationship between sulfate/sulfide and the mercury
species. Concentrations of both sulfate and sulfide are elevated north of Alligator Alley without
a significant gradient across this area. Regression equations are based on gradients occurring in
constituent values or concentrations. Reducing total phosphorus concentrations in this area
resulted in a slight increase or no change projected in fish mercury concentrations (Table 8.2).
Decreasing total mercury concentrations, however, did result in a projected decrease in both
methylmercury and fish mercury concentrations.
Between Alligator Alley and Tamiami Trail, the reduced equations underpredicted fish
mercury concentrations in Phase I and overpredicted fish mercury concentrations in Phase II
(Table 8.2). Water methylmercury concentrations were slightly overpredicted, but, in general,
observed versus predicted concentrations agreed within 0.1 ng/L. Changes in sulfate or total
phosphorus concentrations resulted in similar projected changes in water methylmercury and fish
mercury concentrations (Table 8.2). A greater change in both methylmercury and fish mercury
concentrations were projected from the reduction in water total mercury concentrations. The
greatest decrease in both methylmercury and fish mercury concentrations were projected by
changing water total phosphorus and total mercury concentrations simultaneously (Table 8.2).
Reducing water total phosphorus, sulfate, and total mercury concentrations resulted in a smaller
projected reduction in water methylmercury and fish mercury concentrations than the change in
only total phosphorus and total mercury (Table 8.2). This is because there is an inverse
relationship in the reduced structural equations between sulfate and water methylmercury
concentrations between Alligator Alley and Tamiami Trail (Table 8.1). Sulfate is a surrogate for
sulfide and reducing the sulfate concentration in this area of the marsh also results in lower
sulfide concentrations, which are acting as a ligand on both inorganic and organic mercury in
this area. Binding the inorganic mercury with higher sulfide concentrations in this area make less
inorganic mercury available for diffusion across methylating bacterial cell membranes. In
addition, binding the organic or methylmercury in this area makes it less biologically available
8-9
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for uptake and biomagnification through the food web. If both sulfate and total phosphorus are
reduced through the STA's, the reduction in fish methylmercury might be less that if just total
phosphorus were reduced.
South of Tamiami Trail, the marsh is probably approaching historic background
conditions. The relationships in the reduced structural equations are all positive (Table 8.1).
Observed concentrations of water methylmercury were within 0.01 ng/L of predicted
concentrations (Table 8.2). The equations overpredicted fish mercury concentrations, but were
within 10 ug/Kg of observed fish mercury concentrations (Table 8.2). Reducing water total
phosphorus, sulfate, or total mercury concentrations resulted in a projected decrease in water and
fish methylmercury concentrations. The greatest decrease in water methyl and fish mercury
concentrations resulted from a reduction in all three input constituents - total phosphorus, sulfate,
and total mercury concentrations.
The reduced form structural equations provide a tool for projecting changes in
methylmercury and fish mercury concentrations that might occur from potential management
actions that reduce water total phosphorus, sulfate or total mercury concentrations. These are
steady-state equations and do not provide estimates of the time to reach these concentrations.
However, the equations do provide an additional tool for screening management actions and
formulating hypotheses that can be tested through field research studies.
8.3.7 Stressor-Response Profiles
Results from the Exposure Profile will be integrated with the stressor-response profiles
developed by Rumbold et al. (2000). These interactions have been initiated, but not yet
completed. Crystal Ball simulations will be used to integrate the variance about the median
concentrations projected for Gambusia to provide a range of exposure to the wading birds and
subsequent response of the wading birds to decreased mercury concentrations in their diet.
8.4 Risk Characterization
Risk characterization is the final phase of an ecological risk assessment. During this
phase, risk assessors estimate ecological risks, indicate the overall degree of confidence in the
risk estimates, cite evidence supporting the risk estimates, and interpret the adversity of
ecological effects (EPA 1998). Estimating risks from mercury contamination in the Everglades
8-10
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must consider the potential effects of nutrient addition and hydropattern modification on
methylation and biomagnification. For example, food web complexity in the Everglades has
been affected by increased nutrient inputs (Loftus et al. 1998). However, as shown through the
conceptual models and path analysis, the increased potential for mercury transfer through more
complex food webs is not only correlated with the nutrient regime, but also dependent on a
number of other ecosystem characteristics. Loftus et al. (1998) and Fink et al. (1997) also
suggest that changing water depths may affect food web complexity, mercury concentrations in
prey and predator fish, and feeding rates in wading birds.
Because risks are not independent but rather joint probabilities, multiple lines of evidence
must be evaluated to characterize ecological risks from mercury.
It is clear from assessing the results from the reduced structural equations that mercury is
influenced not only by mercury deposition, but also by nutrient loading, sulfate loading and
hydroperiod modifications. Assessing the risk from mercury contamination, therefore, must
consider the interactions with these other factors. The greatest risk for mercury contamination
occurs not at the sites with the greatest nutrient and sulfate loading, but at those sites that have
moderate increases in nutrient and sulfate concentrations and that are pulsed by changes in
hydropattern or water depth. Additions to these sites appear to stimulate the methylation process
by continually providing a supply of sulfate and organic carbon (both through loading and
through oxidation during dry periods) for methylating bacteria and that have relatively complete
food webs. Although there are interactions of inorganic and organic mercury with ligands (e.g.,
sulfide, organic carbon), these interactions are not as strong as they are in the higher nutrient and
sulfate areas to the north. Therefore, even though there is some binding by ligands, higher net
methylmercury production results in more methylmercury being biologically available for uptake
through the food web. The greatest reduction in mosquitofish mercury concentrations occurred
in the oligotrophic portion of the marsh south of Tamiami Trail. This area is considered to be
approaching the historical constituent concentrations that previously existed in the Everglades.
Based on existing information, it can not be determined what historical mercury concentrations
were in the Everglades. However, because wading birds were historically distributed throughout
a greater area of the Everglades ecosystem, their risk from mercury might have been lower
because they might not have been concentrated in the areas with the highest mercury
concentrations.
8-11
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Table 8.1. Reduced form structural equations used to project changes in Gambusia mercury
concentrations based on selected management actions.
Phase I Equations
North of Alligator Alley
TOC = 10A(1.26 + 0.13 Log10 (TP))
MeHg-w = 10A(-1.24 + 0.64 Log10 (TOC) + 0.40 Log10 (THg))
THg-fish = 10A(3.33 - 0.63 Log10 (TOC) + 0.46 Log10 (MeHg-w))
Alligator Alley to Tamiami Trail
TOC = 10A(1.07 - 0.06 Log10 (Depth) + 0.18 Log10 (TP))
THg-w = 10A(-0.13 Log10 (SO4) + 0.38 Log10 (TOC))
MeHg-w = 10A(-2.56 + 0.16 Log10 (TP) + 0.38 Log10 (Depth) + 1.62 Log10 (TOC)
- 0.15 Loglo (S04) + 0.29 Loglo (THgw))
MeHg-soil = 10A(-2.86 + 0.54 Log10 (TP-soil) + 0.41 Log10 (THg-soil))
MeHg-PS = 10A(-3.97 - 0.66 Log10 (Depth) + 0.01 (AFDW))
THg-fish = 10A(3.03 + 0.57 Log10 (MeHg) + 0.28 Log10 (MeHg-soil) + 0.15 Log10 (MeHg-PS))
South of Tamiami Trail
TOC = 10A(1.06 + 0.16 Log10 (TP))
MeHg-w = 10A(-2.45 + 0.18 Log10 (TP) + 0.12 Log10 (Depth) +1.18 Log10 (TOC) + 0.17 Log10
(S04) + 0.67 Loglo (THgw))
THg-soil = 10A(1.44 + 0.01 (AFDW))
MeHg-w-soil = 10A(-1.64 + 0.007 (AFDW) + 0.84 Log10 (THg-soil) - 0.10 Log10 (SO4-soil))
THg-fish = 10A(2.55 + 0.38 Log10 (MeHg-w) + 0.12 Log10 (MeHg-soil))
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9.0 POLICY AND MANAGEMENT IMPLICATIONS
Seven management and policy-relevant questions guided this project. One of the primary
objectives of this project was to provide scientifically sound information to answer these
questions and contribute to management decisions on the South Florida Everglades ecosystem.
This is an interim assessment, so not all of these questions can be fully answered, but at least
partial answers can be provided for each question.
9.1 Hydroperiod Management
Findings
The surface water coverage of the six synoptic surveys ranged from 44 to 100% of the
ecosystem area, considering both dry and wet seasons.
A surface area to volume curve was calculated, which indicated the long hydroperiod
marsh covered about 4,200 km2.
• The remaining short hydroperiod marsh from 4,200 km2 to 5,500 km2 (1,300 km2)
requires twice the water volume to inundate this area compared to the volume of water
covering the long hydroperiod marsh.
The shortest hydroperiod marsh is located in northwestern WCA3-N and Taylor Slough.
• The area of ponding estimated during the 1999 dry season indicated that if ponding of
water north of the Tamiami Trail roadway were eliminated, the wet prairie/slough habitat
in the marsh would be reduced by about 400 km2.
Management Implications
• Water management changes to restore sheet flow in this system is a noble goal, but based
on the surface area to volume curve, significant volumes of water will be required to
achieve 100% surface water coverage of the ecosystem in the dry season.
Annual drought cycles are a natural occurrence and some will be more severe than
others. Large volumes of water continuously supplied will be required to make
ecologically significant differences in surface water coverage when system storage
capacity is low.
Ponding in the system increases the wet prairie/slough refugia where aquatic organisms
remain during droughts. Careful consideration should be given before any actions to
reduce these areas are carried out.
9-1
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• There may be insufficient volume to reestablish sheet flow in chronically drought prone
short hydroperiod areas of the system. This does not mean that additional flow in central
and eastern WCA3-N would not begin reversing the soil loss which has occurred there
over the last 50 years. However, the build up of peat soil will occur most rapidly if
continuous surface water coverage is maintained.
• The water and soil quality gradients identified in this study must be considered before
plans are implemented to divert contaminated water farther downstream in this system
with the result of making water quality deteriorate over a larger area of the ecosystem.
There are macrophyte and periphyton community indicators of hydropattern
modifications developed in this study that can be used to assess the effectiveness of
future restoration efforts prior to and following implementation.
9.2 Nutrient Loading
Findings
• The median concentrations of total phosphorus in water decreased from 1995-96 to 1999,
however, the change was not statistically significant across the ecosystem. The greatest
change among the subareas was found in WCA2 and WCA3-N.
• Maximum water total phosphorus concentrations occurred in WCA3-N where the median
TP concentrations declined from 16 to 11.4 ppb over the intervening three year period.
Nutrient loading appeared to increase across the northwestern portions of WCA3-N and
WCA3-SW in 1999, even though it decreased in other subareas.
• The increased water TP concentrations in WCA3-SE and WCA3-SW during the 1999 dry
season probably resulted from phosphorus transport from WCA3-N because a wildfire
that occurred in WCA-3N two weeks prior to sampling transformed plants and peat into
phosphorus-rich ash.
• The extent of marsh area with TP in water <10 ppb has continued to increase over time,
from 41% in 1995 to 78% in 1996 and 87% in 1999.
• The extent of marsh area with TP in water <15 ppb has likewise continued to improve
from 65% in 1995 to 87% and 93% in 1996, and 1999, respectively.
• The extent of marsh area with TP in water >50 ppb remained at 2%.
• Median TP concentrations in soil decreased from 350 mg/kg in 1995-96 to 250 mg/kg in
1999.
9-2
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• Median wet season soil TP concentrations were lower in Loxahatchee, WCA3-N,
WCA3-SE, WCA3-SW and Shark Slough in 1999 versus 1995-96 while no change was
evident in WCA2.
• The lowest median wet season soil TP concentrations consistently occurred in Taylor
Slough
• Median wet season soil TP concentrations in WCA2 and WCA3-N were 350 and
400 mg/kg, respectively and are the subareas where the invasion of cattails is most
prevalent.
• TP concentrations greater than 400 mg/kg occur along the EAA border of WCA2 and
WCA3-N.
• Future changes in TP concentrations in water and soil require further monitoring to verify
trends.
Management Implications
The phosphorus control program, principally the Best Management Practices which have
been in place since 1995, may be reducing the loading to the ecosystem.
The decline in soil phosphorus concentrations in the less saturated downstream subareas
is the area where an initial response to decreased loading is expected. The upstream
heavily impacted subareas would be the last subareas expected to respond to decreased
phosphorus loading.
• The invasion of the cattail community correlates with the high soil phosphorus in WCA2
and WCA3-N.
Monitoring using the same methodology needs to continue in order to establish trends
used to evaluate the effectiveness of the phosphorus control program.
9.3 Habitat Management
Findings
Remote Vegetation Assessment
• Remote sensing and GIS techniques were successfully used to assess vegetation patterns
over the entire Everglades ecosystem.
Areal summary statistics indicated spatial trends such as decreasing cattail coverage
ranging from 12-17% in the north to 0.4% in the south.
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Plant communities identified in 1 km2 plots, overlaid on the randomly selected sampling
sites, adequately represented the vegetation cover in the Everglades. Comparison of
remotely sensed estimates with existing database for ENP-Shark Slough and WCA3-N
found the average difference in vegetation type percent cover estimates was 1.5% in
ENP-SRS and 0.4% in WCA3-N. This demonstrated the data compatibility among
USNPS and SFWMD vegetation mapping efforts.
This effort establishes a baseline of conditions existing in 1994/1995 and a quantitative
methodology for efficiently monitoring future vegetation patterns and assessing changes
in the Everglades ecosystem over space and time.
Macrophyte Distributions and Morphology
• Because this study provides a quantitative evaluation of marsh macrophyte community
types and their distributions across the Everglades ecosystem, it provides a background
for evaluating community change during and after restoration.
There are four major communities that are found across the entire ecosystem: sawgrass,
waterlily-purple bladderwort, spikerush, and cattail. These communities differ in their
hydroperiod/water depth, soil type, and nutrient levels. The dominant species within each
community have different tolerances for soil TP.
• Sawgrass is the only community that occurs across the entire ecosystem; the other
communities are more localized in their distributions.
Although sawgrass was present throughout the Everglades, sawgrass morphology and
density was correlated with changes in soil type. Controls on variations in density and
morphology, as well as patchiness, represent areas for future research.
• Some communities that have been noted to be prominent historically did not appear as
distinct communities in our analysis. For example, the Rhynchospora tracyi (beakrush)
community did not form a distinct community in our clustering. These differences could
represent a historical change in community composition in the ecosystem and/or could be
a result of the quantitative nature of our analysis.
Sagittaria lancifolia is found across a broad range of soil TP and soil organic content in
the Everglades. We have shown in a parallel study that S. lancifolia leaf morphology
provides an indication of soil nutrient level and water depth. Plants with broader laminae
and shorter petioles are found in sites with higher nutrients, while plants with longer
petioles are found in deeper sites with lower nutrients.
• The distribution of the major macrophyte communities can be used to monitor the effects
of restoration actions.
9-4
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Periphyton Distributions
This study demonstrated that diatom community metrics are associated with specific
environmental changes and can be a useful tool in environmental monitoring. Diatom
community metrics should be integrated into Everglades assessment protocols for the following
reasons:
Diatoms are ubiquitous in the Everglades yet species have non-random distributions.
Baseline distribution data is now available for use in detecting environmental change.
• Diatoms are sensitive to environmental variation. Assemblage and species responses to
spatial variation in ion content, nutrient availability and hydroperiod have been
identified. Temporal models can be built from these spatially explicit data to predict
community change under different management scenarios with a measurable degree of
accuracy.
• Diatoms respond quickly to environmental change. Unlike many other biotic indicators,
changes in diatom assemblage composition can happen over very short time scales (days
to weeks) and, therefore, can provide sensitive early warning signals of impending
ecosystem change.
• The taxonomic reference base generated from this survey will increase efficiency of
future diatom inventories. Many surveys exclude diatom analyses because of perceived
technical difficulties in collection and assessment. Currently available taxonomic
databases should substantially reduce allocation of time and resources to identification.
There are fewer species of diatoms in the Everglades than vascular plants. Given
currently available reference materials, lack of technical expertise in this field is no
longer a viable argument against diatom assessments, especially given their potential in
environmental monitoring.
Management Implications
A baseline of vegetative conditions using remote sensing, ground transect macrophyte
community sampling, macrophyte morphology and periphyton communities has been
established for monitoring and assessing future changes of the Everglades marsh habitat.
• The mosaic of plant communities across the ecosystem integrates the natural and the
anthropogenic impacts imposed on this ecosystem.
Changes in plant community response are of critical importance in evaluating the
effectiveness of restoration practices.
9-5
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Indicator macrophyte and periphyton species have been identified which respond to
multiple key interacting variables that can be used in assessing change.
Each habitat methodology applied in this study has developed a unique and cost effective
data set needed to track future habitat responses across the entire ecosystem.
9.4 Mercury Contamination
9.4.1 How Big is the Problem (Magnitude)?
Findings
Over 60% of the marsh mosquitofish exceeded the proposed predator protection criteria
for mercury.
• Less than 20% of the canal mosquitofish exceeded the proposed predator protection
criteria for mercury.
About 98% of the sampling sites had total mercury concentrations less than the mercury
water quality criteria of 12 ppt (parts per trillion).
• Methylmercury concentrations in the water rarely exceeded 1 ppt, yet mercury
concentrations in mosquitofish and largemouth bass exceeded 500 ppb and 1 ppm,
respectively. This is a biomagnification factor of 500,000 to 1,000,000 times the
methylmercury concentration in the water.
Management Implications
The methylmercury criteria based on mercury concentrations in fish tissue (300 ppb) is
appropriate because it considers bioaccumulation and biomagnification through the food
chain.
9.4.2 What is the Extent of the Problem (Extent)?
Findings
There is a hot spot in Water Conservation Area 3 A, just below Alligator Alley, where
methylmercury concentrations are highest in water, algae, fish, and wading birds. This
hot spot has an area of over 200 square miles.
• There is an area that extends from this hot spot below Alligator Alley down through
Shark River Slough in Everglades National Park in which fish and wading birds also
have elevated mercury concentrations.
9-6
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Management Implications
• By both magnitude and extent, fish, alligators, wading birds, the Florida panther, and
other organisms in the marsh have greater mercury contamination than organisms in the
canals. Focus management actions on the marsh.
The mercury hot spot corresponds with an area in which wading birds breed and feed.
9.4.3 Is it Getting Better or Worse over Time (Trends)?
Findings
• A solid baseline (1993-1996) has been established to evaluate future trends. The
comparative comprehensive monitoring in 1999 has provided the opportunity to begin
trend assessment which can be compared to other more frequent trend monitoring in top
predators to determine the status of mercury contamination in the Everglades ecosystem
through time.
During the past 10 years there has been an estimated decrease of greater than 95% in
local atmospheric emissions in South Florida. There also has been a corresponding
reduction in total mercury concentrations in surface water and declines in prey fish,
largemouth bass and great egret chick feathers.
• Total mercury concentrations in prey fish greater than 200 ppb declined from a 40%
exceedance in 1995-96 to a 20% exceedance in 1999. This indicates an approximate
reduction of 50% in mercury in fish with the highest concentrations.
• Largemouth bass monitoring by FFWCC indicates a 66% decline in total mercury in
fillets still exceeds the Florida fish consumption advisory of 0.5 ppm.
• Monitoring of great egret chick feathers by University of Florida scientists from
1994-2000 has shown a 73% decline in mercury.
Management Implications
• Maintain the EPA Region 4 monitoring program with seasonal sampling, but emphasize
the marsh sites compared to the canals. Establish trend sites.
• Continue monitoring the great egret check feathers, largemouth bass, and mosquitofish to
assess trends.
• The mercury problem did not occur overnight and it will not be corrected overnight.
Long-term management practices will be required to fix the mercury problem.
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Monitoring is the only approach for assessing the effectiveness of management and
restoration practices to control eutrophication, restore natural hydropattern changes, and
eliminate mercury contamination.
9.4.4 What is Causing the Problem (Causation)
Findings
• The exact causes of mercury contamination in the South Florida ecosystem are unknown.
However, it is likely the interaction of total phosphorus, TOC, and sulfate loading from
the EAA, water depth, organic matter sources and production, food chain links and
continued input of atmospheric mercury to the ecosystem control mercury contamination.
• The large scale spatial patterns of these environmental conditions have been established
through the EPA Region 4 program, FFWCC fish sampling, and NPS/FL DEP wading
bird sampling programs.
Processes responsible for these large-scale patterns are being studied through the USGS
ACME program, EPA and FL DEP atmospheric deposition studies.
Management Implications
• There is no "magic bullet" that can be implemented to control one factor and eliminate
mercury contamination.
• Factors controlling mercury should be determined in the hot spot and compared with
factors in other areas without extensive mercury contamination to develop effective
management strategies.
Controlling EAA loading of phosphorus, sulfate, and TOC concentrations might also
reduce the mercury problem by reducing constituents that are influencing mercury
contamination.
9.4.5 What are the Sources of the Problem (Sources)?
Findings
• Annual atmospheric mercury loading is from 35 to 70 times greater than mercury loading
from the Everglades Agricultural Area.
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An EPA ORD study indicated municipal and medical waste incineration emissions had
higher mercury concentrations than emissions from a coal-fired cement kiln.
Management Implications
Local emissions are a significant source of inorganic mercury.
• Mercury emissions controls would reduce mercury loadings to the Everglades ecosystem.
• However, waste disposal is a multimedia problem. Controlling mercury emissions might
create other problems such as disposal of solid waste, including not only the waste, but
also the mercury removed from the emissions.
9.4.6 What is the Risk to the Ecosystem (Risks)?
Findings
Mercury methylation is also controlled or influenced by hydropattern, habitat alteration,
and food web complexity.
Over 60% of the marsh area has mosquitofish with mercury concentrations that exceed
the proposed predator protection level.
• Mercury concentrations are high, near toxic levels in wading bird livers and other organs
but have been declining in largemouth bass and wading birds over the past 8 years.
There is a 200 square mile hot spot where mercury contamination in biota is greatest,
which corresponds with an area of wading bird rookeries.
Management Implications
Biological species higher in the aquatic food chain are at risk from mercury
contamination, even though the effects are subtle. Because mercury bioaccumulates, the
risks increase over time. The longer management is delayed, the greater the risks.
• However, the greatest threat to the Everglades ecosystem is to assume the environmental
problems are independent.
9.4.7 What Can We Do About The Problem (Management)?
Findings
• The SFWMD Everglades Nutrient Removal project removes nutrients and total and
methylmercury from the inflow to the Project.
• Atmospheric mercury loading is much greater than mercury loading from the EAA
stormwater.
9-9
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Management Implications
• Controlling nutrient loading, hydropattern and habitat type should contribute to reducing
the mercury contamination problem.
Controlling local atmospheric mercury emissions has apparently reduced the mercury
load to the South Florida Everglades ecosystem and the concentration in biota. However,
there has been no apparent change in mercury deposition over the past 8 years.
Emission controls have multimedia impacts and must be assessed as a multimedia issue,
not as a single media issue.
• If the nutrients, sulfate and TOC concentration gradients, were decreased further and
pushed upstream, the zone of impact where fish mercury is high could be reduced and
might be outside the areas where wading birds concentrate for breeding, feeding, and
with reduced emissions, the overall fish concentrations might be lower.
9-10
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10-12
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APPENDIX A: Aerial Photo Vegetation
Assessment in the Everglades
Ecosystem
-------
Aerial Photo Vegetation Assessment
in the Everglades Ecosystem
Final Report
by
Roy Welch and Marguerite Madden
Center for Remote Sensing and Mapping Science (CRMS)
Department of Geography
The University of Georgia
Athens, Georgia 30602-2503
Submitted to:
U.S. Department of Interior
National Park Service
South Florida Natural Resources Center
Homestead, Florida
Cooperative Agreement Number:
5280-4-9006
October 19, 2000
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TABLE OF CONTENTS
Page
List of Figures 3
List of Tables 4
List of Attachments 4
Abstract 5
Introduction 6
Database Development 9
Vegetation Distribution Statistics 13
Data Analysis 18
Products Delivered to EPA 22
Summary 27
Acknowledgments 28
References 29
Attachments 30
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LIST OF FIGURES
Figure Caption Page
1. EPA South Florida Ecosystem Assessment Project study area 7
and locations of pilot study, Cycle 4 and Cycle 5 monitoring sites.
r\
2. Sample vegetation map for a 1 km plot surrounding single 11
EPA monitoring site.
3. Everglades Vegetation Classification System legend to accompany 12
1 km vegetation maps of EPA monitoring sites.
4. Major vegetation cover by region - Cycles 4 and 5. 16
5. Major vegetation cover by latitudinal zone - Cycles 4 and 5. 17
6. Map depicting spatial trends in major vegetation classes and summary 19
statistics for monitoring sites, regions and latitudinal zones over
the entire South Florida Ecosystem Assessment study area.
7. Comparison of vegetation cover in monitoring sites to the corresponding 21
area in existing databases
8. Interpolation of cattail percent cover for the South Florida 23
Ecosystem Assessment study area - Cycles 4 and 5.
9. Interpolation of sawgrass percent cover for the South Florida 24
Ecosystem Assessment study area - Cycles 4 and 5.
10. Interpolation of wet prairie percent cover for the South Florida 25
Ecosystem Assessment study area - Cycles 4 and 5.
11. Interpolation of "other" vegetation percent cover for the South 26
Florida Ecosystem Assessment study area - Cycles 4 and 5.
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LIST OF TABLES
Table Title
1. Delivery Dates of EPA Monitoring Site Maps/Databases 10
9 _
2. Sample Summary Statistics (Area in m ) for Two EPA Monitoring 14
Sites by Dominant/Secondary/Tertiary Vegetation Classes
9 _
3. Sample Summary Statistics (Area in m ) for Two EPA Monitoring 14
Sites by Dominant/Secondary Vegetation Classes
4. Sample Summary Statistics (Area in m2) for Two EPA Monitoring 14
Sites by Dominant Vegetation Classes
5. Percent Cover of Maj or Vegetation Classes by Region - Cycles 4 15
and 5 Combined
6. Percent Cover of Major Vegetation Classes by Latitudinal Zone - 15
Cycles 4 and 5 Combined
7. Percent Cover of Vegetation in Monitoring Sites and Corresponding 20
Areas in Existing Databases
8. List of Products Delivered to EPA 22
LIST OF ATTACHMENTS
Attachment Description Page
A. The Everglades Vegetation Classification System for South 30
Florida's National Parks and Preserves.
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Aerial Photo Vegetation Assessment
in the Everglades Ecosystem
ABSTRACT
Long-term monitoring of the Everglades ecosystem, including observations of
plant communities over broad areas as indicators of biogeochemical change, can be
implemented using remote sensing and geographic information system (GIS) techniques.
The Center for Remote Sensing and Mapping Science (CRMS) at The University of
Georgia has used these techniques in cooperation with the Everglades National Park
(ENP) and the U.S. Environmental Protection Agency (EPA) Science and Ecosystem
Support Division (Athens, Georgia) to conduct a vegetation assessment study in support
of the EPA South Florida Ecosystem Assessment Project. The EPA randomly generated
coordinate locations for 250 environmental monitoring sites distributed throughout the
South Florida Water Management District (SFWMD) Water Conservation Area (WCA)
1, WCA 2, WCA 3, the Rotenberger/Holey Land Everglades Agricultural Area (EAA)
and ENP. Vegetation communities within 1x1 km (1 km2) plots centered on the EPA
monitoring sites were extracted from existing Everglades vegetation databases originally
created by the CRMS, the National Park Service (NFS) and the SFWMD from 1994/1995
National Aerial Photography Program (NAPP) color infrared (CIR) aerial photographs.
Vegetation in areas outside of the existing databases was interpreted from U.S.
Geological Survey (USGS) Digital Orthophoto Quarter Quads (DOQQ) produced from
the same 1994/1995 NAPP aerial photographs. The classification system followed the
Everglades Vegetation Classification System and included vegetation identified to the
plant community, association and species levels.
Data analysis included the development of areal statistics for the dominant,
secondary and tertiary vegetation types within each of 250 monitoring sites (1 km2), and
for combinations of the dominant/secondary vegetation classes. These summary statistics
were provided to the EPA for further analysis and correlation with environmental data
collected at the monitoring sites.
The cumulative distribution of four major plant communities (i.e., cattail,
sawgrass, wet prairie and other) provided status and trend information on the range of
vegetation types within regions and latitudinal zones distributed north to south
throughout the Everglades system. A map was created depicting the proportion of
vegetation cover in each 1 km2 monitoring site as represented by a pie chart. The map
also includes histogram graphs of dominant and secondary vegetation types generalized
into the four major vegetation classes and summarized by region and latitudinal zone. On
this map, spatial trends such as the clustering of wet prairie dominated sites within WCAs
1 and 2 can be visually correlated with man-made structures such as canals and roadways
that restrict hydrologic flow. The distribution of sites containing considerable
proportions of cattail, grouped within WCA 2, WCA 3 and the northeastern section of
ENP, also appear to coincide with canals and may warrant further investigation of spatial
correlations of cattail growth with elevated nutrient levels.
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Additional data analysis included a comparison of summary statistics for
vegetation distributions within 1 km2 monitoring sites to statistics derived from existing
Everglades vegetation databases in order to establish that the selected samples were
indeed representative of continuous vegetation cover. The spatial interpolation of
vegetation distributions between EPA monitoring sites also was demonstrated. Output
products included 250 page-size vegetation maps of monitoring sites, a l:80,000-scale
overview map depicting spatial trends in major vegetation classes, digital data sets and
summary statistics. This study establishes a baseline of conditions existing in 1994/1995
and documents an efficient methodology for long-term monitoring of the Everglades
system.
INTRODUCTION
The Center for Remote Sensing and Mapping Science (CRMS) at The University
of Georgia has cooperated with the Science and Ecosystem Support Division of the U.S.
Environmental Protection Agency (EPA) to assess vegetation patterns along a north -
south corridor across the Florida Everglades. This work was undertaken for Everglades
National Park (Cooperative Agreement Number 5280-4-9006) in support of the EPA
South Florida Ecosystem Assessment Project.
Long-term monitoring of plant community distributions as indicators of
biogeochemical changes over broad areas such as the Everglades ecosystem can be
implemented using remote sensing and geographic information system (GIS) techniques.
The CRMS is uniquely qualified to provide the EPA with vegetative cover information
for the Everglades study area. In addition to numerous studies using remote sensing/GIS
to map wetlands in the southeastern United States, the CRMS has worked cooperatively
with the National Park Service (NFS) since 1994 to map Everglades vegetation
communities in South Florida Parks and Preserves (Welch et al., 1988, 1991 and 1992;
Remillard and Welch, 1992; Welch and Madden 1999). Over a four-year period from
1994 to 1998, the CRMS and NFS developed a detailed vegetation database in Arc/Info
format and produced associated 1:15,000-scale paper map products for Everglades
National Park, Big Cypress National Preserve and Biscayne National Park - wetland
areas covering approximately 10,000 km2 (Welch, et al., 1995; 1999; Welch and
Remillard, 1996).
The EPA South Florida Ecosystem Assessment Project study area encompasses
approximately 5,600 km2, including South Florida Water Management District
(SFWMD) Water Conservation Area 1 (WCA 1), WCA 2 and WCA 3, along with the
Rotenberger/Holey Land Everglades Agricultural Area (EAA) and portions of Everglades
National Park (ENP) (Figure 1). The WCAs are used by the SFWMD for water storage
and management with water levels controlled by a system of canals and gates. The ENP,
on the other hand, is characterized by a less restricted flow of water through broad
sloughs impeded only by a few roads. The Rotenberger/Holey Land EAA consists
mainly of abandoned agricultural land.
The study area also was subdivided into latitudinal zones by the EPA. Depicted
in Figure 1, the boundaries between latitudinal zones correspond (from north to south) to
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F £3
PI lot Study Site
CwlMSfc
Cycle 5 Site
Fjt;ure 1. EPA Souih Fl&nda Ecosyslem Assess merit Projecl slucty area aid locations of pilot study,
Cycle 4 and Cycle 5 monitoring sites.
-------
26.68°, 26.36°, 26.16°, 25.95°, 25.76°, 25.56° and 25.24° north latitudes. Within these
latitudinal zones, the EPA randomly located the following monitoring sites for EPA field
data collection: 1) 132 stations for the Cycle 4 dry-season field survey conducted in
April, 1999; and 2) 126 stations for the Cycle 5 wet-season field survey conducted in
September, 1999. Eight of these monitoring sites fell outside of the EPA South Florida
Ecosystem Assessment Project study area and were subsequently dropped from the
analysis. The CRMS defined a 1 km2 area around each of the remaining 250 monitoring
sites for characterization of vegetation communities using remote sensing and GIS
techniques.
The CRMS vegetation assessment was conducted in two parts, Phase I focused on
vegetation characterization and mapping, while Phase II involved data analysis. Specific
objectives for this study are outlined below.
Phase I Objectives
1) Compile remotely sensed data sets and existing GIS databases appropriate for
the identification of vegetation communities within the South Florida
Ecosystem Assessment Project study area.
2) Create detailed 1 km2 vegetation maps in digital and hardcopy formats
centered on each of 250 EPA monitoring sites, and provide maps/data sets to
the EPA prior to the intended field survey dates.
3) Provide summary statistics of the area and percent cover of dominant,
secondary and tertiary vegetation types occurring within the 1 km2 vegetation
maps. Also generate summary statistics to provide area/percent cover of
dominant vegetation classes and four major vegetation classes (i.e., cattail,
sawgrass, wet prairie and other).
4) Produce a map of the entire study area showing summary data for the four
major vegetation classes at each monitoring station, as well as histograms
characterizing vegetation cover by region and latitudinal zone.
Phase II Objectives
1) Supply summary statistics for the area and percent cover of dominant and
secondary vegetation types occurring within the 1 km2 monitoring sites.
2) Compare the proportions of vegetation types and areal coverage within a
subset of the monitoring sites to the corresponding area covered by existing
vegetation databases. Vegetation classes to be compared include sawgrass,
wet prairie, muhly grass, cattail, mixed graminoid, non-graminoid emergent,
bayhead, pine/hardwood water and other vegetation classes.
3) Interpolate the spatial distribution of major vegetation types between EPA
monitoring sites to determine general trends of percent cover over the entire
South Florida Ecosystem Assessment Project study area.
4) Provide a final report of the aerial photo vegetation assessment covering both
development and analysis of the vegetation database (Phase I and II).
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DATABASE DEVELOPMENT
Latitude and longitude values for all monitoring sites were provided to the CRMS
by the EPA. These geographic coordinate values were used to create two Arc/Info
coverages, one containing Cycle 4 sites, the other Cycle 5 sites (see Figure 1). Six sites
from Cycle 4 and one site from Cycle 5 were selected by EPA for use in a pilot study
designed to establish appropriate field techniques and statistical analysis methods before
the project fieldwork began in April 1999. Eight sites provided to the CRMS fell outside
both ENP and SFWMD boundaries and were disregarded, leaving 128 Cycle 4 sites and
122 Cycle 5 sites - a total of 250 monitoring sites.
Detailed vegetation databases previously compiled by the CRMS, NPS and
SFWMD from 1:40,000- and l:24,000-scale color infrared (CIR) aerial photographs
recorded in 1994/1995 were the primary data sources employed in this project. In each of
these databases, the vegetation was photointerpreted and vegetation boundaries rectified
to the Universal Transverse Mercator (UTM) ground coordinate system tied to the North
American Datum of 1983 (NAD 83) to within a root mean square error (RMSE) of
approximately + 5 to 10 m. The minimum mapping unit was one hectare. Details on the
mapping procedures, ground truthing and database development can be found in Welch et
al. (1999) and Rutchey and Vilchek (1999). These data sets provided consistent and
detailed information on vegetation communities for 117 of the 250 EPA monitoring sites
Vegetation patterns for the remaining 133 monitoring sites were interpreted using
USGS CIR Digital Orthophoto Quarter Quads (DOQQs) covering WCA 1, WCA 2, EAA
and a portion of WCA 3. The DOQQs of Florida were derived from USGS NAPP aerial
photographs (the same 1994/1995 NAPP photographs used in the CRMS/NPS mapping
project). They are reported by the USGS to meet planimetric accuracy standards of about
+ 3 m. Approximately 86 DOQQs were required to interpret the vegetation for those
sites not included in the original CRMS/NPS/SFWMD databases.
r\
For each site, a 1 km plot centered on the monitoring site was created in Arc/Info
coverage format. Vegetation data from the CRMS/NPS or SFWMD was clipped from
the corresponding area in the vegetation databases. Where no vegetation data existed, the
plot was digitally overlaid on the DOQQ and used as a template to interpret vegetation
communities and create a new vegetation map centered on the monitoring site.
Vegetation classes delineated within the 1 km2 plots followed the Everglades
Vegetation Classification System developed by the CRMS, NPS and SFWMD (Madden
et al., 1999; Welch et al., 1999). In this hierarchical system, 89 classes can be used to
identify Everglades vegetation to the plant community, association and species levels.
These classes also can be used in combination with numeric modifiers indicating factors
affecting vegetation growth, (e.g., evidence of abandoned agriculture or altered drainage),
information about the vegetation distribution (e.g., scattered individuals) and important
environmental characteristics (e.g., abundant periphyton). Attachment A provides a
description of the Everglades Vegetation Classification System.
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In order to accommodate the complex vegetation patterns found in the
Everglades, a three-tiered scheme was developed for attributing vegetation polygons
(Welch et al., 1995; Obeysekera and Rutchey, 1997). Using this scheme, interpreters
were able to annotate each polygon with a dominant vegetation class accounting for more
than 50 percent of the vegetation in the polygon. Secondary and tertiary vegetation
classes were added as required to describe mixed plant communities within the polygon.
This three-tiered scheme, as well as the hierarchical organization of the classification
system, permits classes to be collapsed and generalized as required to examine trends
over space and time.
The digital data sets for 250 sites were used to create hardcopy maps and to
generate summary statistics of total area and percent cover for vegetation classes. To
enable the efficient production of hardcopy map products, an automated mapping
interface was developed. The interface allows each 1 km map to be plotted using a
standardized map collar, which included the EPA monitoring station name, Cycle
number, locator map, UTM grid, scale bar and legend. Detailed plant community
information is included as text labels within each polygon. Tabular summary data of area
and percent for each vegetation classification found in the 1 km2 map, are automatically
generated when the map is plotted and included in each map legend. The CRMS
provided a total of 250 page-size (8.5 x 11 in.) paper maps to the EPA prior to the
intended field survey dates that included all monitoring sites in both Cycles 4 and 5
(Table 1).
Table 1. Delivery Dates for EPA Monitoring Site Maps/Databases
Cycle
Pilot Study
Cycle 4
Cycle 5
Total
Field Survey
Field/Mapping
Procedure Test
Dry-Season Survey
Wet-Season Survey
Date
January 1999
April 1999
September 1999
Number
7
122
121
250
Figure 2 shows a sample hardcopy map product for a single monitoring site as
released to the EPA. The comprehensive vegetation legend providing the full
Everglades Vegetation Classification name for abbreviations printed on the monitoring
site maps is provided in Figure 3. Arc/Info coverages of vegetation data sets for the 250
monitoring sites were delivered to the EPA in Arc/Info Export format copied to CD-
ROM.
10
-------
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Figure 2 Sanpb vet;ela(ioo map lor a 1 km~ plot surrounding a single EPA nu'xiiLoring site.
-------
FOREST IB
Mangro* Toreii (
Red tRhizophora mangle)
Black (Avicertrfia .germifani} (i-Ma)
White flagirnci/ibrAfl racemes?) (FM|>
Swamp Forest (F5>
Mixed Hardwood (F ShJ
Cypress Strands/Heads (FSc)
Cypress Domes (FSd)
Cypress^ixed Hardwoods {FSxl
Mixed Hardwoods, Cypress and Pine (FSa)
Cypress-Pines IFSCpil
Bayhead (FSb)
Cocopiuim (FSbcJ
Other Forest
ButtoHwotxl (CdrtOtarpuS erecUJi) (l-il1
Subtropical Hardwood CFT)
(roj
Payrotis Ralm (Aroe/curfaphe ivrigfrir} (FP)
Cabbage Palm iSaoaJ palmetto) {FQ
SAVANNA CSV)
SHRUBLAND5 (SB)
Willow (Sali* carollnaiia) {SBsj-
Pop Ash ( fraxinus cano/Jrrlana ) ISBf)
Wax Myrte ((WyiJca cwlfoi} (Siml
Craundsel Bush ( Saccnar Js spp.) (SBbl
Buttonbuih (Cepr>a/anthus occJderriaJJs ) CSBc )
Primrose (kwAvfgim spp.) CSBl)
Coc&pluiri (CfFvsotela/it/s icacoJ (5 By}
EXOTICS (I)
Cajepu? (Wefafeoca qo^oqoenervra) (CM)
AuaEra-ian Pmc (CaSiiaffrM spp.) (EC}
lather leaf irofybr.ina isiafira) JFO)
Brazihan tepper (Sthinui ifrebinthifoliui) (ES)
Shoebutton Ardisia (Arcfisia e/f^ca) (EA)
Tropical Soda Apple (Sotenym vjarum} (CU
Plum (SyzygHim ajm/nfi) (EJ)
Pine (Pious eMottii 1
Slash Pine with Palms (SVx)
Slash Pine with Hardwoods CJVPIh)
Slash Pine with Cypress (SVPIcJ
Cypress
Halophytic Herbaceous Prairie (PH)
Gramin«d(PHg)
Su ecu lent (PHs)
Prairie with Scattered PinCS |PPI}
Grass (Cfadfcjm /a/rateensel (PCc)
Fall Saw Grass (PG«f
Cat-tall CTypte spp.) Marsh (PC)
SCRUB IS
Mangrove (SM)
ted {KMiophota wangle >
Black (Avicenniag»inlnans} (SMa)
White [lafijfiafiMarac
Mixed (SsNAx)
Buttonwood (Conoca/jwjrjr efectus) (SO
Saw^ RaJmetto (Sereooa «pem> 30 rn wide) (RD)
Maic* Canals ( > 30 m wide) (O
BraJ'ded ORV I rails ( > 15 m wide) fORV]
Spoil Area§ (SA>
SPECIAL .MODIFIERS
Cramin«d CNBfisity
LD - tow Etensity
MD •Medium
HD -High Density
Hurricane Damage Classes
1 - Low to Medium (0% to 50% damage]
2 - High (51% to 75% damage!
3 - Extreme (75% damage)
Other
4 - Low Density Scattered individuals)
5 -Human Influence
6 - Abandoned Agriculture
7 -Altered Drainage
8 - H igh Density ORV Trai Is
9 -PeHphyton
10 - Treatment damage
11 - Other damage
12 -Ponds
13 -Exposed Bod
Figure 3. Everglades Classification System legend.
-------
VEGETATION DISTRIBUTION STATISTICS
r\
Areal statistics were compiled for vegetation areas within the 1 km maps
corresponding to the 250 EPA monitoring sites. Statistics files contain the total area (in
m2), percent cover and frequency of occurrence for each unique combination of
dominant, secondary and tertiary vegetation types in all monitoring sites. Table 2
illustrates a portion of the areal statistics (m2) for two EPA monitoring sites sorted by
unique combinations of dominant/secondary/tertiary vegetation classes. These statistics
were collapsed in Tables 3 and 4 to illustrate further summarization of area data by
unique combinations of dominant/secondary vegetation and by dominant vegetation
classes, respectively. All statistical information was provided to the EPA in Microsoft
Excel and text formats.
In order to assess trends in major vegetation patterns over the entire study area,
the EPA identified four generalized categories as being of particular significance: cattail,
sawgrass, wet prairie and "other" vegetation types. The summary statistics were
therefore collapsed into these four major classes. A polygon was characterized as
"cattail" or "sawgrass" when those species predominated. For example, the abbreviation
for cattail in the database is "PC" (see Attachment A). Sawgrass is represented by the
abbreviations "PGc", "PGct", "PGx", or "PGs". A polygon was characterized as "wet
prairie" when it contained classes "PGe", "PGa", "PGw", "PE", "PEb", or "PEf'.
Polygons not included in one of the preceding classes were included in the "other"
category.
An exception to this procedure occurred in the "wet prairie" class. Wet prairie
was under-represented in the ENP vegetation database compared to the SFWMD
database due to a slight difference in interpretative priorities. Since the ENP database did
not separate low density sawgrass polygons in slough areas as wet prairie, a polygon was
considered to be "wet prairie" if it was characterized primarily by sawgrass and
contained open water, or if it was characterized primarily by sawgrass and secondarily by
wet prairie species such as PGe and PGa. All maps and summary data which use the
generalized, four-class system reflect this difference.
Tables 5 and 6 list the percent cover of major vegetation types (i.e., cattail,
sawgrass, wet prairie and other) summarized for all 250 1 km maps and organized by
region and latitudinal zone, respectively. By region, cattail is most abundant in WCA 2,
covering nearly 25 percent, while only 1 percent of ENP contains cattail (Figure 4).
Sawgrass covers approximately 40 percent of most regions with the highest coverage (55
percent) in ENP. Wet prairie ranges between 15 and 29 percent cover in all regions
except ENP where wet prairie covers only 11 percent. Other vegetation is most abundant
in the EAA and ENP, covering 45 and 33 percent, respectively.
The distribution of vegetation summary statistics by latitudinal zones is shown in
Table 6 and Figure 5. Ranging from north to south (left to right on the table and graph),
cattail coverage decreases steadily from 12 and 17 percent in the northern most zones to
1.5 and 0.4 percent in the southern most zones. Sawgrass coverage is fairly constant
among northern zones (40 to 35 percent) and peaks at 68 and 44 percent cover in the
13
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Major Vegetation Cover by Region
o
O
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a
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Q.
EAA
WCA1
WCA2
WCA3
ENP
Region
Figure 4. Major vegetation cover by region - Cycles 4 and 5 combined.
-------
Major Vegetation Cover by Latitudinal Zone
26.68-26.36 26.36-26.16 26.16-25.95 25.95-25.76 25.76-25.56 25.56-25.24
Latitudinal Zone (decimal degrees)
Figure 5. Major vegetation cover by latitudinal zone - Cycles 4 and 5 combined.
-------
most southern zones. Wet prairie decreases considerably at the northern border of ENP
(25.76 °), most likely due to the blockage of water flow by state highway 41 running east-
west at this location (see Figure 1). Other vegetation cover is distributed fairly evenly
across latitudinal zones with the highest coverage in the southern most zone made up
mainly of mangrove scrub and forest vegetation.
DATA ANALYSIS
The spatial distribution of the four major vegetation classes was analyzed over the
entire study area in a 1:180,000-scale map that was provided to the EPA. A page-size
version of this map, Figure 6, shows the proportion of vegetation cover in each
monitoring site represented by a pie chart. The slices of the pie chart represent the
relative areas of the four major vegetation classes within the 1 km2 plots. Pie charts
representing Cycle 4 monitoring sites are outlined in blue, while those representing Cycle
5 sites are outlined in red. Sites in which periphyton existed in greater than 25% of the 1
km2 plots are indicated with an asterisk placed at the center of the pie chart. It should be
noted that given the difficulties in consistently identifying periphyton, as well as its
transitory/seasonal nature, periphyton identification should not be considered definitive
but rather indicative of potential areas of excessive periphyton growth.
The graphs depicted on the map represent histograms of dominant and secondary
vegetation types, generalized into the four major vegetation classes. The smaller
histograms summarize the total area included in each generalized class by region,
namely: WCA 1, WCA 2, WCA 3, Rotenberger/Holey Land EAA and ENP. Background
colors in these histograms correspond to the colors of the region that is represented. The
larger histograms, with white backgrounds, summarize the total area included in each
generalized class by latitudinal zone, as specified by the EPA.
In addition to representing major vegetation cover at each monitoring site, Figure
6 also provides spatial information on vegetation trends and characteristics by region and
by latitudinal zone. For example, pie charts colored more than one half in dark blue and
denoting monitoring sites dominated by wet prairie, are clustered within WCA 1, in the
lower two-thirds of WCA 3 and within two particular areas of ENP. The distribution of
predominantly wet prairie monitoring sites in the WCAs can be correlated with man-
made structures such as canals and roadways that restrict hydrologic flow and tend to
pool water, while the two clusters of wet prairie sites in ENP occur within natural
features, namely, Shark River Slough and Taylor Slough. The distribution of sites
containing considerable proportions of cattail (colored red) are also grouped within WCA
2, the north and east portions of WCA 3 and the northeastern section of ENP. These sites
appear to coincide with canals and may warrant further investigation of spatial
correlations with nutrient levels within the system.
In order to determine if the proportion of vegetation types and areal coverage
within the monitoring sites is representative of vegetation distributions over the entire
Everglades study area, a comparison was made between the percent cover often general
vegetation classes as mapped within a subset of the monitoring sites and within the
18
-------
CRMS4JGA
Map dq5idusg spaliaJ trends m majnr \ qgdaticxi classes and summary staislics
-------
corresponding area in existing databases. Figure 7 depicts 30 monitoring sites in the
northern portion of WCA3 (WCA3_N) that correspond with the existing WCA3
vegetation database (shaded in grey). Likewise, 44 monitoring sites corresponded with
the northern portion of the ENP (ENP_N) vegetation database. The percent cover of
vegetation was tallied for ten general classes defined by the EPA as sawgrass, wet prairie,
muhly grass, cattail, mixed graminoid, non-graminoid emergent, bayhead,
pine/hardwood, water and other vegetation (Table 7). Results show that there is a high
degree of correspondence between the percent cover of vegetation types in the
monitoring sites of both WCA3_N and ENP_N with the percent cover derived from the
existing databases. The greatest difference was only 7.1 percent for sawgrass in ENP_N,
and the difference for all other vegetation types was less than 4 percent. The average
difference in percent cover for vegetation types in ENP_N was 1.5 percent and the
average for WCA3_N was 0.4 percent.
Table 7. Percent Cover of Vegetation in Monitoring Sites and Corresponding Areas in
Existing Databases
Vegetation
Classes
Sawgrass
Wet Prairie
Muhly Grass
Cattail
Mixed
Graminoid
Non-gram.
Emergent
Bayhead
Pine/
Hardwood
Other
Vegetation
Water
% Cover
ENP N
Existing
Database
85.2
0.7
1.8
1.1
2.6
0.1
1.7
0
6.0
0.8
% Cover
ENP N
Monitoring
Sites
92.3
0.2
2.1
0.7
0.1
0
1.6
0
2.3
0.7
%
Diff
-7.1
0.5
-0.3
0.4
2.5
0.1
0.1
0
3.7
0.1
% Cover
WCA3 N
Existing
Database
68.7
10.2
0
11.3
0
2.9
0
0
6.5
0.4
% Cover
WCA3 N
Monitoring
Sites
69.6
11.5
0
10.9
0
2.7
0
0
5.2
0.1
%
Diff.
-0.9
1.3
0
0.4
0
0.2
0
0
1.3
0.3
20
-------
Comparison of Vegetation Cover
in Monitoring Sites
with Existing Databases
Quads in the
Northern Portion
of WCA 3
Quads in the
Northern Portion
ol ENP
Monitoring Sites
NFS Parks and WCAs
10 D 10 20 Kilometers
Figure 7 rcunp&rifian of vegetation eovcf in mftnilcwtng site* In the cornifipftiwJing area
in
-------
Figures 8 through 11 depict isolines representing predicted percentages of cover
across the study area for each of the four major vegetation classes. Interpolation of
percent cover data between monitoring sites was achieved using the kriging method in
Arclnfo with a function to model the semi-variance of the data. Combining Cycle 4 and
5 monitoring sites, Figure 8 illustrates relatively high proportions of cattail in WC A 2,
WCA 3 and the border of ENP and WCA 3. Relatively even percentages of sawgrass
were interpolated throughout the study area (Figure 9), while wet prairie isolines in
Figure 10 reveal higher percentages within the Water Conservation Areas and the slough
areas of ENP. As expected, the highest levels of "other" vegetation are inside the
Rotenberger/Holey Land EAA, largely due to abandoned agriculture in the EAA and the
higher elevation pinelands area in ENP (Figure 11). These results illustrate the
possibility of extrapolating information gathered within sample sites to the greater
Everglades Ecosystem study area using spatial data analysis techniques such as kriging
interpolation.
PRODUCTS DELIVERED TO EPA
Products delivered to the EPA include digital GIS database files, hardcopy maps,
digital files for printing hardcopy maps and tabular areal summary data files. A detailed
list of delivered products is provided in Table 8.
Table 8. List of Products Delivered to EPA
Data Type
Data Products
GIS Database Files
(UTMNAD83)
• AutoCAD DXF files of vegetation distributions for pilot study
sites.
• Digital Arc/Info coverages of vegetation distributions for each 1
km2 map segment in Arc/Info Export format.
• Point coverages of EPA monitoring sites for Cycles 4 and 5.
• Ancillary Arc/Info coverages of boundaries, roads and canals in
Export format.
Hardcopy Maps
And Digital Files
for Producing
Hardcopy Maps
250 page-size detailed vegetation maps for 1 km areas
surrounding EPA monitoring sites.
1:180,000 - scale and page-size (8.5 x 11 inches) maps of the
entire study area with vegetation summaries and histograms
depicting trends in cattail, sawgrass, wet prairie and other
vegetation classes.
Page-size maps depicting interpolated vegetation distributions
(percent cover) between monitoring sites for cattail, sawgrass,
wet prairie and other vegetation classes.
EPS files for plotting maps of vegetation for each EPA
monitoring station.
22
-------
* f
v * - - 1
•* A.
J * *
J* —*n
\ iiJ.&r®v
N
Figure 8: Interpolation of cattail percent cover - Cycles 4 and 5.
-------
Figured: Interpolation of sawgrass percent cover - Cycles 4 and 5.
-------
Figure 10. Interpolation of wet prairie percent cover - Cycles 4 and 5.
-------
-. •/
•t*~~"24/J} x> * *
1 * NN ^ *
1 *1 * ^ * \
v y * * * \\ * *
Figure 11. Interpolation of "other" vegetation percent cover - Cycles 4 and 5.
-------
Table 8. List of Products Delivered to EPA (Continued)
Data Type
Data Products
Tabular Summary
Data Files
• Unique combinations of dominant, secondary and tertiary
vegetation for each monitoring station - area and percent cover
- in text format.
• Unique combinations of dominant and secondary vegetation for
each monitoring station - area and percent cover - in Excel and
text formats.
• Unique combinations of dominant vegetation for each
monitoring station - area and percent cover - in Excel and text
formats.
Four major vegetation classes summarized by region and latitudinal
zone- area and percent cover - in Excel and text formats.
SUMMARY
Remote sensing and GIS techniques were successfully used to assess vegetation
patterns over the Florida Everglades as part of the EPA South Florida Ecosystem
Assessment Project. Vegetation communities within 1 km plots centered on 250 EPA
monitoring sites distributed in a north-south corridor throughout the Everglades were: 1)
extracted from existing Everglades vegetation databases created by the CRMS, NPS and
SFWMD from CIR aerial photographs; and 2) derived from USGS DOQQs. Areal
statistics for dominant, secondary and tertiary vegetation types identified in the 250 1 km
plots provided EPA with spatially explicit vegetation data that can be correlated with
environmental data collected at the monitoring sites.
Analysis of areal summary statistics indicated general trends over the Everglades
ecosystem study area such as the diminishing coverage of cattail ranging from 12 and 17
percent in the northern most latitudinal zones to 0.4 percent in the southern most
latitudinal zone. Wet prairie vegetation was found to cover greater percentages of the
WCAs than the ENP and ENP contained the highest percentage of sawgrass. The EAA
and ENP regions also contained the highest coverage of "other" vegetation. These
patterns of major vegetation distributions over the entire study area were depicted in a
map specially designed to visualize general trends in areal summary statistics. In
addition, a comparison of areal statistics for monitoring sites with statistics derived from
full-coverage vegetation databases confirmed randomly selected 1 km plots adequately
represented vegetation cover in the South Florida Ecosystem Assessment Project study
area. Spatial interpolation of vegetation cover between monitoring sites also
demonstrated the possibility of extrapolating sampled vegetation data to the broader
landscape.
The 1994/1995 vegetation distributions documented in this study are now a
baseline against which changes can be measured. It is anticipated that these
27
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methodologies can be used to efficiently monitor future vegetation and spatially analyze
change as an indicator of biogeochemical fluctuations in the Everglades Ecosystem.
ACKNOWLEDGMENTS
This study was sponsored by the U.S. Environmental Protection Agency (EPA)
and the U.S. Department of Interior National Park Service (Cooperative Agreement
number 5280-4-9006). The authors wish to express their appreciation to Andrew
Homsey, formerly of the Center for Remote Sensing and Mapping Science (CRMS), The
University of Georgia and currently with the U.S. Department of Commerce National
Geodetic Survey, Bethesda, Maryland. The assistance of Ken Rutchey and Les Vilchek
of the South Florida Water Management District (SFWMD), West Palm Beach, Florida is
greatly appreciated.
28
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REFERENCES
Madden, M., D. Jones and L. Vilchek, 1999. Photointerpretation key for the Everglades
Vegetation Classification System, Photogrammetric Engineering and Remote
Sensing, 65(2): 171-177.
Obeysekera, J. and K. Rutchey, 1997. Selection of scale for Everglades landscape
models, Landscape Ecology, 12(1): 7-18.
Remillard, M. and R. Welch, 1992. GIS technologies for aquatic macrophyte studies:
I. Database development and changes in the aquatic environment. Landscape
Ecology, 1'(3): 151-162.
Rutchey, K. and L. Vilchek, 1999. Air photointerpretation and satellite imagery analysis
techniques for mapping cattail coverage in a northern Everglades impoundment.
Photogrammetric Engineering and Remote Sensing, 65(2): 185-191.
Welch, R. and M. Madden, 1999. Vegetation Map and Digital Database of South
Florida National Park Service Lands to Assess Long-Term Effects of Hurricane
Andrew. Final Report to the U.S. Dept. of Interior, National Park Service,
Cooperative Agreement 5280-4-9006, Center for Remote Sensing and Mapping
Science, University of Georgia, Athens, Georgia: 43 pp.
Welch, R., M. Madden and R. Doren, 1999. Mapping the Everglades, Photogrammetric
Engineering and Remote Sensing, 65(2): 163-170.
Welch, R. and M. Remillard, 1996. GPS, photogrammetry and GIS for resource mapping
applications, In, (Clifford W. Greve, Ed.) Digital Photogrammetry: An Addendum
to the Manual of Photogrammetry, American Society for Photogrammetry and
Remote Sensing, Bethesda, MD: 183-194.
Welch, R., M. Remillard and J. Alberts, 1991. Integrated resource databases for coastal
management. GIS WORLD, 4(3): 86-89.
Welch, R., M. Remillard and J. Alberts, 1992. Integration of GPS, remote sensing and
GIS techniques for coastal resource management. Photogrammetric Engineering
and Remote Sensing, 58(11): 1571-1578.
Welch, R., M. Remillard and R. Doren, 1995. GIS database development for South
Florida's National Parks and Preserves, Photogrammetric Engineering and
Remote Sensing, 61(11): 1371-1381.
Welch, R., M. Remillard and R. Slack, 1988. Remote sensing and geographic information
system techniques for aquatic resource evaluation. Photogrammetric Engineering
and Remote Sensing, 54(2): 177-185.
29
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Attachment A
Everglades Vegetation Classification System for
South Florida National Parks
By
1 9 ^ A
David Jones , Marguerite Madden , Jim Snyder and Ken Rutchey
Draft Report of March 1998
1 Everglades National Park
2 Center for Remote Sensing and Mapping Science, The University of Georgia
3 Big Cypress National Preserve
4 South Florida Water Management District
Based on a review of several vegetation classification schemes developed by researchers
of Everglades National Park and Big Cypress National Preserve, including a classification
scheme devised by Craighead (1971), the following Vegetation Classification System was
developed by the South Florida Natural Resources Center, Everglades National Park (ENP), the
Center for Remote Sensing and Mapping Science (CRMS) at the University of Georgia, Big
Cypress National Preserve (BICY) and the South Florida Water Management District (SFWMD)
for use in mapping the vegetation of Everglades National Park, Big Cypress National Preserve,
Biscayne National Park (BISC) and the SFWMD Water Conservation Areas.
Major Vegetation Types
I. Forest
II. Scrub
in. Savanna
IV. Prairies and Marshes
V. Shrublands
VI. Exotics
VU. Additional Categories
VIU. Special Modifiers
Under these major vegetation types are hierarchically arranged Plant Communities
(classes) which are defined by typical dominant species. The species listed under these classes
and subclasses were derived from South Florida Research Center Reports (1980-1983) for
Everglades and Big Cypress National Parks, Craighead (1971), and Davis and Ogden (1994).
The communities used in this classification system were selected from among those compiled in
a summary report of all plant communities outlined by Craighead (1971) as well as those
reported in vegetation studies published by the South Florida Natural Resources Center from
1980 to 1983.
30
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Major Vegetation Types and Associated Plant Communities
I. FOREST1 F
A. Mangrove Forest FM
1. Red (Rhizophora mangle) Mangrove FMr
2. Black (Avicennia germinans) Mangrove FMa
3. White (Laguncularia racemosa) Mangrove FM1
a. White Mangrove or Buttonwood Forest2 FMlb
4. Mixed mangrove3 FMx
B. Buttonwood (Conocarpus erectus) Forest4 FB
C. Subtropical Hardwood Forest5 FT
D. Oak-Sabal Forest6 FO
E. Paurotis Palm (Acoelorrhaphe wrightii) Forest FP
F. Cabbage Palm (Sabalpalmetto) Forest FC
G. Swamp Forest FS
1. Mixed Hardwood Swamp Forest7 FSh
2. Cypress Strands8 FSc
a. Cypress Domes/Heads9 FSd
3. Cypress-Mixed Hardwoods10 FSx
4. Mixed Hardwoods, Cypress and Pine11 FSa
5. Cypress-Pines12 FSCpi
6. Bayhead13 FSb
1High-density stands of trees with heights over 5 metres.
2 This class signifies that it is uncertain whether vegetation is white mangrove (Laguncularia racemosa) or
buttonwood forest (Conocarpus erectus), since signatures on the aerial photographs are very similar. Fieldchecking
is required to correctly identify the species.
3 Specific mixtures of mangrove species, when identified, will be distinguished as subgroups.
^Conocarpus erectus with variable mixtures of subtropical hardwoods.
sLysiloma latisiliquum, Quercus virginiana, Bursera simaruba, Mastichodendron foetidissimum, Swietenia
mahagoni, among others.
6'Quercus laurifolia, Q. virginiana, Sabal palmetto.
"''Quercus. virginiana, Q laurifolia, Acer rubrum, Sabal palmetto, Fraxinus caroliniana.
3Taxodium ascendens, T. distichum; cypress domes are treated as a subgroup. Cypress strands (especially inBICY)
may contain an understory of species such asAnnona glabra, Chrysobalanus icaco, and Fraxinus caroliniana.
9Taxodium ascendens, T. distichum ; cypress growing in a depression such that trees in the center are tallest and give
the characteristic dome shape. Delineated domes may contain a fringe of short cypress (less than 5 metres).
10Taxodium ascendens and T. distichum with variable mixtures of subtropical and temperate hardwoods;
predominantly in BICY.
1:LMixture of various subtropical hardwoods with Taxodium distichum with occassional Pinus elliottii var. densa.
12Taxodium distichum with Pinus elliottii and a mixed hardwood scrub understory.
31
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II. SCRUB14 S
A. Mangrove Scrub15 SM
1. Red (Rhizophora mangle) SMr
2. Black (Avicennia germinans) SMa
3. White (Laguncularia racemosa) SMI
a. White Mangrove or Buttonwood Scrub16 SMlb
4. Mixed scrub17 SMx
B. Buttonwood (Conocarpus erectus) Scrub SC
C. Saw Palmetto (Serenoa repens) Scrub SP
D. Hardwood Scrub18 SH
E. Bay-Hardwood Scrub19 SS
IE. SAVANNA20 SV
A. Pine (Pinus elliottii var. densd) Savanna SVPI
1. Slash pine mixed with palms21 SVx
2. Slash pine with hardwoods22 SVPIh
3. Slash pine with cypress23 SVPIc
B. Cypress (Taxodium distichum and T. ascendens) Savanna SVC
13'Magnolia virginiana, Annona glabra, Chrysobalanus icaco, Persea borbonia, Ilex cassine, Metopium toxifemm,
among others.
14Low-density areas of trees and shrubs with heights under 5 meters.
15The vegetation matrix in which the scrub occurs should be noted, e.g., within Eleocharis marsh.
16 This class signifies that it is uncertain whether vegetation is scub white mangrove (Laguncularia racemosa) or
buttonwood scrub (Conocarpus erectus), since signatures on the aerial photographs are very similar. Fieldchecking
is required to correctly identify the species.
17 Sparse and high-density subgroups/modifiers can be distingished.
18Includes species such as Metopium toxifemm, Persea borbonia, Myrica cerifera, Ilex cassine, Magnolia
virginiana, Myrsine floridana, Conocarpus erectus, Chyrsobalanus icaco and others. Often contains a moderate to
heavy component of mixed grasses. Scrub oak (Quercus virginiana) is often included in areas of BICY.
19Mixed association of bayhead swamp species, buttonwood scrub and hardwood scrub species such as Myrica
cerifera, Chyrsobalanus icaco, leather fern (Acrostichum danaeifolium), Conocarpus erectus and Cladium
jamaicense. Minor species include Metopium toxiferum, Ilex cassine, Persea borbonia, Sabal palmetto and
Cephalanthus occidentalis. Occurs in the transition zone between saline and fresh environments.
2 °Low-density (open canopy) trees in a matrix of graminoids.
21Pinus elliottii var. densa, Serenoa repens, Sab al palmetto', typical of BICY.
22Pinus elliottii var. densa, Rhus copallina, Guettarda scabra, Bumelia salicifolia, Tetrazygia bicolor, Dodonea
viscosa, among others; typical of EVER.
23'Pinus elliottii var. densa dominant with Taxodium distichum interspersed.
32
-------
1. Dwarf cypress24 SVCd
2. Cypress with pine25 SVCpi
Palm (Sabalpalmetto) Savanna SVPM
IV. PRAIRIES AND MARSHES P
A. Graminoid Prairie/Marsh26 PG
1. Black rush (Juncus roemerianus) PGj
2. Sawgrass (Cladium jamaicense)21 PGc
3. Muhly grass (Muhlenbergiafilipes) PGm
4. Cordgrass (Spartina spp.j PGs
5. Spike rush (Eleocharis cellulosa) PGe
6. Common reed (Phragmites spp.) PGp
7. Maidencane {Panicum hemitomori) PGa
a. Maidencane-Spike rush28 PGw
8. Mixed graminoids29 PGx
B. Non-graminoid Emergent Marsh30 PE
1. Broadleaf Emergents PEb
2. Floating/Floating Attached Emergents PEf
C. Cattail (Typha spp.) Marsh PC
D. Halophytic Herbaceous Prairie PH
1. Graminoid31 PHg
2. Succulent32 PHs
E. Prairie with Scattered Pines33 PPI
24 Cypress of stunted growth less than 5 metres in height.
2STaxodium distichum and T.ascendens dominant with mixed Pinus elliottii var. densa.
26 Contains grasses, sedges and rushes. The extent of periphyton cover is expressed as a modifier for all appropriate
subclasses.
27The modifier Vis used to distinguish tall sawgrass, e.g., PGct.
28 Mix of shallow open water, Eleocharis spp. and Panicum hemitomon which can include sparse associations of
low stature Cladium jamaicense, Typha spp., Sagittaria lancifolia, Pontedaria lanceolata, Nymphaea spp., etc.
typical of SFWMD impounded conservation areas.
29 Specific mixtures of graminoids, when identified, will be distinguished as subgroups.
30Pontederia lanceolata, Sagittaria spp., Nymphaea odorata, Typha spp., wiihLudwigia repens and Utricularia
spp. as possible submergents.
31 Saltgrass (Distichlis spicata), smutgrass (Sporobolus spp.) and keys grass (Monanthocloe littoralis).
32Very salt tolerant species such as saltwort (Batis maritima), glasswort (Salicornia spp.) and sea purslane
(Sesuvium spp.).
33 Sparsely distributed Pinus elliottii var. densa in a matrix of graminoids, at the pinelands-glades ecotone.
33
-------
V.
SHRUBLANDS
SB
A. Willow (Salix caroliniand)
B. Pop Ash (Fraxinus caroliniand)
C. Wax myrtle (Myrica ceriferd)
D. Groundsel bush (Baccharis spp.)
E. Buttonbush (Cephalanthus occidentalis)
F. Primrose (Ludwigia spp.)
G. Cocoplum (Chrysobalanus icaco)
SBs
SBf
SBm
SBb
SBc
SB1
SBy
VI.
EXOTICS34
A. Cajeput (Melaleuca quinquenervia)
B. Australian Pine (Casuarina spp.)
C. Lather Leaf (Colubrina asiatica)
D. Brazilian Pepper (Schinus terebinthifolius)
E. Shoebutton Ardisia {Ardisia ellipticd)
F. Tropical Soda Apple (Solanum viarum)
G. Java Plum (Syzygium cumini)
EM
EC
EO
ES
EA
EL
EJ
VII. ADDITIONAL CATEGORIES
A. Open Water
B. Beaches
C. Mud
D. Cultural Areal Features
1. Structures and Cultivated Lawns
a. Pumping Stations
b. Disturbed Fish Camp Site
2. Major Roads (greater than 30 m wide)
3. Major Canals (greater than 30 m wide)
4. ORV Trails
W
BCH
MUD
HP5
Hip
Hid36
RD
C
ORV
E. Cultural Linear Features
1. Secondary roads (less than 30 m)
2. Secondary canals (less than 30 m)
3. ORV trails (less than 15m wide)
a. Primary
b. Secondary
(Dash)
(Dash-Dot)
(brown)
34For sparse to low-density stands, modifiers are used to indicate (1) the vegetation matrix in which the exotic
occurs, and (2) the original vegetation replaced by the exotic, when applicable.
35Human Influence includes structures (e.g., buildings, fishing and hunting camps), parking lots and cultivated
lawns.
3 6 Human influence site common in SFWMD that has been disturbed by former fishing/hunting camp. Although
buildings are no longer present, an unusual mix of introduced and exotic species persist.
34
-------
c. Tertiary
F. Spoil Areas SA
1. Artificial Deer Islands SAd
VIE. SPECIAL MODIFIERS
A. Hurricane Damage Classes
1. Low to medium (0% to 50% damage) - 1
2. High (51% to 75% damage) - 2
3. Extreme (> 75% damage) -3
B. Low Density (Scattered Individuals) - 4
C. Human Influence37 - 5
1. Abandoned agriculture - 6
2. Altered drainage - 7
3. High density ORV trails - 8
D. Periphyton - 9
E. Treatment Damage (e.g., herbicide treatment) -10
F. Other Damage (e.g., freeze damage) -11
G. Ponds -12
H. Exposed Rock (i.e., pinnacle rock) -13
Human Influence modifier can be added to a vegetation class to indicate evidence of human disturbance.
35
-------
References
Bell, C.R. and BJ. Taylor, 1982. Florida Wild Flowers. Laurel Hill Press, Chapel Hill, North
Carolina, 308 pages.
Craighead, F.C., 1971. The Trees of South Florida. University of Miami Press, Coral Gables,
Florida, 212 pages.
Davis, S.M. and J.C. Ogden, 1994. (Eds.) Ever'glades: The Ecosystem and Its Restoration. St.
Lucie Press, Delray Beach, Florida, 826 pages.
Duever, M.J., I.E. Carleson, J.F. Meeder, L.C. Duever, L.H. Gunderson, L.A. Riopelle, T.R.
Alexander, R.L. Myers and D.P. Spangler, 1986. The Big Cypress National Preserve.
National Audubon Society, New York, New York, 444 pages.
Duncan, W.H. and M.B. Duncan, 1988. Trees of the Southeastern United States. University of
Georgia Press, Athens, 332 pages.
Hilsenbeck, C.E., R.H. Hofstetter and T.R. Alexander, 1979. Preliminary synopsis of major
plant communities in the east everglades area vegetation maps supplement, Report of the
Department of Biology, University of Miami, 36 pages.
Long, R.W. and O. Lakela, 1971. Flora of Tropical Florida, Unversity of Miami Press, Coral
Gables, Florida, 962 pages.
Nelson, G., 1994. The Trees of Florida. Pineapple Press, Inc., Sarasota, Florida, 338 pages.
36
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APPENDIX B: Quality Assurance Project Plan
-------
EVERGLADES ECOSYSTEM ASSESSMENT
(PHASE II REMAP)
QUALITY ASSURANCE PROJECT PLAN
Prepared for
United States Environmental Protection Agency
Science and Ecosystem Support Division
Region 4 and Office of Research and Development
Prepared by
FTN Associates, Ltd.
3 Innwood Circle, Suite 220
Little Rock, AR 72211
July 31,2000
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July 31,2000
FORWARD
This document is the Quality Assurance Project Plan (QAPP) for environmental data
operations performed by the US Environmental Protection Agency (EPA) and a consortium of
groups as part of the Investigation of Mercury Contamination in the Everglades Ecosystem and
Everglades Ecosystem Assessment (Phase n REMAP) Project. This document generally follows
on Requirements for QA Project Plans for Environmental Data Operations (EPA QA/R-5).
The project will be conducted in three phases: planning, implementation, and assessment.
The first phase involved the development of Data Quality Objectives (DQOs), which provided
statements about the expectations and requirements of the various data users. In the second
phase, the QAPP and its associated documentation translates these requirements into
measurement performance specifications and quality assurance/quality control (QA/QC)
procedures for the data suppliers to provide the information needed to satisfy the data user's
needs. Once the data have been collected and validated in accordance with the elements of the
QAPP, the data will be evaluated to determine whether the DQOs have been satisfied. In this
assessment phase, the data will be analyzed to determine whether they meet the assumptions
made during planning and whether the total error in the data is small enough to support decisions
within tolerable decision error rates expressed by the data users. Plans for data validation and
assessment of the data are discussed in the final sections of the QAPP.
Although there is no agency-wide template for QAPP format, this QAPP follows
organizational consistency and content of the current EPA guidance for such documents. In
addition, this document has been prepared under the EPA Region IV jurisdiction and will be
reviewed and approved following pilot-scale testing of project protocols (currently scheduled for
early 1999) and prior to implementation of the wet and dry season sampling elements of the
project.
This QAPP documents how QA/QC activities will be planned and implemented. Overall,
the QAPP provides sufficient detail to demonstrate the following:
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July 31,2000
The project's technical and quality objectives are identified and agreed upon.
The intended measurements or data acquisition methods are consistent with
project objectives.
The assessment procedures are sufficient for determining if data of the type and
quality needed and expected are obtained.
Limitations on the use of the data can be identified and documented.
Project documents that have been prepared prior to the QAPP (e.g., standard operating
procedures [SOPs], test plans, and sampling plans) are appended or, in some cases, incorporated
by reference.
The elements of this QAPP are categorized into "groups" according to their function and
include the following.
Group A: Project Management
This group of QAPP elements covers the general areas of project management, project
history and objectives, and roles and responsibilities of the participants. The following elements
ensure that the project's goals are clearly stated, that all participants understand the goals and the
approach to be used, and that project planning is documented:
Title and Approval Sheet,
• Table of Contents and Document Control Format,
Distribution List,
• Project/Task Organization and Schedule,
• Problem Definition/Background,
• Project/Task Description,
Quality Obj ectives and Criteria for Measurement Data,
• Special Training Requirements/Certification, and
Documentation and Records.
Group B: Measurement/Data Acquisition
This group of QAPP elements covers the aspects of measurement system design and
implementation so that appropriate methods for sampling, analysis, data handling, and QC are
employed and will be documented. These elements are primarily contained in attachments to the
QAPP:
• Sampling Process Design (Experimental Design);
11
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July 31,2000
Sampling Methods Requirements;
• Sample Handling and Custody Requirements;
Analytical Methods Requirements;
• Quality Control Requirements;
Instrument/Equipment Testing, Inspection, and Maintenance Requirements;
• Instrument Calibration and Frequency;
Inspection/Acceptance Requirements for Supplies and Consumables; and
• Data Management.
Group C: Assessment/Oversight
The purpose of assessment is to ensure that the QAPP is implemented as prescribed. This
group of QAPP elements addresses the activities for assessing the effectiveness of the
implementation of the project and the associated QA/QC activities:
Assessments and Response Actions, and
• Reports to Management.
Group D: Data Validation and Usability
Implementation of Group D elements ensures that the individual data elements conform
to the specified criteria, thus enabling reconciliation with the project's objectives. This group of
elements covers the QA activities that occur after the data collection phase of the project has
been completed:
Data Review, Validation, and Verification Requirements;
• Validation and Verification; and
Reconciliation with Data Quality Objectives.
The organizational group performing the work is also responsible for implementing the
approved QAPP. This responsibility includes ensuring that all personnel involved in the work
have copies of or access to the approved QAPP along with all other necessary planning
documents. In addition, the group must ensure that these personnel understand their requirements
prior to the start of data generation activities.
in
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July 31,2000
Moreover, these organizations are responsible for keeping the QAPP current when
changes to technical aspects of the project change. QAPPs must be revised to incorporate such
changes and must be re-examined to determine the impact of the changes. Any revisions to the
QAPP must be re-approved and distributed to all participants in the project.
IV
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July 31,2000
EVERGLADES AND ECOSYSTEM ASSESSMENT
(PHASE II REMAP)
QUALITY ASSURANCE PROJECT PLAN
APPROVAL SHEET
Technical Project Manager, Jerry Stober, PhD
EPA QA Officer, Gary Bennett
Date of the
Revision
6/1/99
6/1/99
Reviewer
Signature
Date
Laboratory Reviewers
SERF Director, Ron Jones, PhD
SESD Representative, Jenny Scifres
Battelle Representative, Brenda Lasorsa
6/1/99
6/1/99
6/1/99
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July 31,2000
EVERGLADES AND ECOSYSTEM ASSESSMENT
(PHASE II REMAP)
QUALITY ASSURANCE PROJECT PLAN
DISTRIBUTION LIST
NAME
Jerry Stober, PhD
Mike Birch
Gary Bennett
Ron Jones, PhD
Jenny Scifres
Brenda Lasorsa
Stuart Ponder
Kent Thornton, PhD
DESCRIPTION
EPA Region IV SESD Project Manager
EPA Region IV Office of Quality Assurance
EPA Region IV Office of Quality Assurance
Director, Southeast Environmental Research
Program, Florida International University
EPA Region IV SESD Laboratory
Battelle Marine Science Laboratory, Sequim, WA
Integrated Laboratory Systems, Inc.
FTN Associates, Ltd.
QAPP VERSION
6/1/99 (1)
6/1/99 (1)
6/1/99 (1)
6/1/99 (1)
6/1/99 (1)
6/1/99 (1)
6/1/99 (1)
6/1/99 (1)
(1)
with 9/9/99, 9/23/99, and 7/31/00 updates
VI
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July 31,2000
TABLE OF CONTENTS
PROJECT/TASK ORGANIZATION A-l
Al PROBLEM DEFINITION/BACKGROUND A-l
Al.l Purpose/Background A-l
A1.2 Problem Statement and Background A-l
A2 PROJECT/TASK DESCRIPTION AND SCHEDULE A-l
A2.1 Purpose/Background A-l
A2.2 Description of the Work to be Performed A-3
A3 QUALITY OBJECTIVES AND CRITERIA FOR MEASUREMENT DATA A-3
A3.1 Purpose/Background A-3
A3.2 Specifying Quality Objectives A-3
A3.3 Specifying Measurement Performance Criteria A-3
A4 SPECIAL TRAINING REQUIREMENTS/CERTIFICATION A-4
A5 DOCUMENTATION AND RECORDS A-4
A5.1 Purpose/Background A-4
A5.2 Project Information Requirements A-4
A5.2.1 Field Operation Records A-4
A5.2.2 Laboratory Records A-5
A5.2.3 Data Handling Records Documentation A-8
A5.3 Data Reporting Package Format and Documentation Control A-8
A5.4 Data Reporting Package Archiving and Retrieval A-8
MEASUREMENT/DATA ACQUISITION B-l
Bl SAMPLING PROCESS DESIGN (EXPERIMENTAL DESIGN) B-l
Bl.l Purpose/Background B-l
B1.2 Classification of Measurements as Critical or Noncritical B-l
B1.3 Validation of Any Nonstandard Methods B-5
B2 SAMPLING METHODS REQUIREMENTS B-5
vn
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July 31,2000
TABLE OF CONTENTS (CONTINUED)
B2.1 Sample Collection, Preparation, and Decontamination Procedures B-5
B2.2 Sampling/Measurement System Failure Response and Corrective
Action Process B-5
B2.3 Sampling Equipment, Preservation, and Holding Time Requirements B-6
B3 SAMPLE HANDLING AND CUSTODY REQUIREMENTS B-6
B4 ANALYTICAL METHODS B-7
B4.1 Purpose/Background B-7
B5 QUALITY CONTROL REQUIREMENTS B-9
B6 INSTRUMENT/EQUIPMENT TESTING, INSPECTION, AND
MAINTENANCE REQUIREMENTS B-9
B7 INSTRUMENT CALIBRATION AND FREQUENCY B-9
B7.1 Purpose/Background B-9
B7.2 Instrumentation Requiring Calibration B-9
B7.3 Calibration Methods B-10
B7.4 Calibration Apparatus B-10
B7.5 Calibration Standards B-10
B7.6 Calibration Frequency B-10
B8 SUPPLIES AND CONSUMABLES B-l 1
B9 DATA ACQUISITION REQUIREMENTS (NONDIRECT MEASUREMENTS) . . B-l 1
BIO DATA MANAGEMENT B-l 1
B10.1 Purpose/Background B-l 1
B10.2 Data Recording and Reduction B-l 1
B10.3 Data Transformation B-12
B10.4 Data Transmittal B-12
B10.5 Data Analysis B-12
BIO.6 Data Storage and Retrieval B-13
Vlll
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July 31,2000
TABLE OF CONTENTS (CONTINUED)
ASSESSMENT/OVERSIGHT C-l
Cl ASSESSMENTS AND RESPONSE ACTIONS C-l
Cl.l Purpose/Background C-l
C1.2 Assessment of Project Activities C-l
C2 REPORTS TO MANAGEMENT C-2
DATA VALIDATION D-l
Dl VALIDATION CRITERIA D-2
D2 VALIDATION METHODS D-6
D3 RECONCILIATION WITH DATA QUALITY OBJECTIVES D-8
D3.1 Reconciling Results with DQOs D-8
REFERENCES E-l
ATTACHMENTS
ATTACHMENT 1
ATTACHMENT 2
ATTACHMENT 3
ATTACHMENT 4
ATTACHMENT 5
ATTACHMENT 6
Phase II REMAP Statement of Work
Project Data Quality Objectives (DQOs)
ESAT SOP XXXII Standard Operating Procedures for Sampling Water
Sediment and Biota in Expansive Wetlands
Analytical Support Branch Operations and Quality Control
Manual-SESD, Region IV
Battelle Quality Assurance Management Plan
SERF Comprehensive QA Plans (Analytical Laboratory and Mercury
Laboratory)
IX
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July 31,2000
LIST OF TABLES
Table Al. Measurement and analytical methods for Phase II laboratories A-6
Table Bl. Proposed REMAP Phase II critical parameters by cycle B-2
Table B2. Proposed REMAP Phase II noncritical parameters by cycle B-3
Table B3. Analytical data from EPA/SESD lab B-14
Table B4. Analytical data from EPA/ESAT lab B-19
Table B5. Analytical data from FIU/SERP lab B-20
Table B6. Analytical data from Battelle lab B-27
LIST OF FIGURES
Figure Al. Project organizational chart A-2
Figure Bl. Sample chain-of-custody form B-8
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July 31,2000
PROJECT/TASK ORGANIZATION
Al PROBLEM DEFINITION/BACKGROUND
Al.l Purpose/Background
The purpose of this project is to assess the risks to fish and wildlife from mercury
contamination in the South Florida Everglades ecosystem. It is Phase n of the South Florida
Ecosystem Assessment being conducted by US Environmental Protection Agency (EPA) Region
IV SESD as their contribution to the South Florida Mercury Science Program and the Everglades
restoration activities. The project organizational structure is provided as Figure Al.
A1.2 Problem Statement and Background
Over 2 million acres in South Florida are currently under fish consumption advisories
because of mercury contamination. The risks to fish and wildlife, particularly the threatened and
endangered species (e.g., Florida panther, woodstork), from mercury contamination are currently
unknown. This risk assessment is being conducted as part of the larger Everglades ecosystem
restoration program so that the risks from mercury contamination can be compared with the risks
from hydroperiod modification, habitat alteration, nutrient enrichment, and introduction of exotic
species.
A2 PROJECT/TASK DESCRIPTION AND SCHEDULE
A2.1 Purpose/Background
The purpose of Phase n is to provide decision makers with answers to 7 policy-relevant
questions so that improved environmental decisions can be made on the multiple environmental
issues and restoration efforts being conducted in South Florida. Phase n is an extension of the
Phase I Interim Assessment conducted from 1994 through 1997.
A-l
-------
Project Organizational Chart
Jerry Stober, PhD
Project Manager
EPA Region 4
Dan Scheldt
Asst. Project Manager
EPA Region 4
Gary Bennett
QA/QC Support
EPA Region 4
Kent Thornton, PhD
QA/QC Support
Database Management
FTN Associates
Steve R. Rathbun, PhD
University of Georgia
Statistical Support
Environmental Services
Assistance Teams
Field/Laboratory Support
Ron Jones, PhD
Floreida International
University Laboratory
Jenny Scifres
Science & Ecosystems
Support Division
Laboratory
Brenda Lasorsa
Battelle Marine
Sciences Laboratory
A-2
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July 31,2000
A2.2 Description of the Work to be Performed
The Phase II REMAP statement of work (September 1998) (Attachment 1) provides the
following information:
1) Measurements that are expected during the course of the project;
2) Applicable technical quality standards or criteria;
3) Any special personnel and equipment requirements that may indicate the
complexity of the project;
4) The assessment techniques needed for the project;
5) A schedule for the work performed; and
6) Project and quality records required, including various reports needed.
A3 QUALITY OBJECTIVES AND CRITERIA FOR MEASUREMENT DATA
A3.1 Purpose/Background
The purpose of this element is to document the data quality objectives (DQOs) of the
project and to establish performance criteria for the mandatory systematic planning process and
measurement system that will be employed in generating the data.
A3.2 Specifying Quality Objectives
DQOs were prepared during the Phase I Interim Assessment (South Florida Ecosystem
Assessment Project Decision-Based Data Quality Objectives, March 1997). These DQOs have
been reviewed and updated to address Phase II. A copy of the project DQOs is included as
Attachment 2.
A3.3 Specifying Measurement Performance Criteria
The DQO measurement performance criteria were established following Phase I and are
listed in Table Al A of the Project DQO document (Attachment 2). Sampling and analytical
A-3
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July 31,2000
methods criteria specified under the elements contained in Section B are designed to meet the
applicable criteria described in the DQO document.
A4 SPECIAL TRAINING REQUIREMENTS/CERTIFICATION
Not Applicable for this project.
A5 DOCUMENTATION AND RECORDS
A5.1 Purpose/Background
This element defines which records are critical to the project and what information needs
to be included in reports, as well as the data reporting format and the document control
procedures to be used. Required report formats are also discussed in Section D. Specification of
the proper reporting format, compatible with data validation, will facilitate clear, direct
communication of the project.
A5.2 Project Information Requirements
A5.2.1 Field Operation Records
• Sample Collection Record - To document that the proper sampling protocols were
followed in the field. At a minimum, this documentation will include the names of
the persons conducting the activity, sample number, sample collection points,
maps and diagrams, equipment/method used, climatic conditions, and unusual
observations as applicable. Field notebooks are used to record raw data and make
references to prescribed procedures and changes in planned activities.
• Chain-of-Custody Records - To document the progression of samples as they
travel from the original sampling location to the laboratory and finally to their
disposal area, if applicable. Chain-of-custody forms will be required for all
environmental samples.
• QC Sample Records - To document the generation of quality control (QC)
samples such as field, (equipment) blank, and duplicate samples. Documentation
of sample integrity and preservation along with calibration and standards
traceability documentation capable of providing a reproducible reference point
will be required for appropriate QC records. Quality control sample records will
A-4
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_ July 3 1,2000
contain information on the frequency, conditions, level of standards, and
instrument calibration history.
• General Field Procedures - To document general field conditions and actions and
outline potential areas of difficulty in gathering specimens. Field logs will be
completed to address this documentation.
• Corrective Action Reports - Corrective action reports to show what methods were
used in cases where general field or laboratory practices or other standard
procedures were not followed and include the methods to resolve the issue.
A5.2.2 Laboratory Records
• Sample Data - Documentation of the times that samples were analyzed to verify
that they met the holding times prescribed in the analytical methods. Included will
be the overall number of samples, sample location information, any deviations
from the SOPs, time of day, and date. Corrective action procedures to replace
samples violating the protocol also will be documented.
• Sample Management Records - Sample management records document sample
receipt, handling and storage, and scheduling of analyses. The records verify that
the chain-of-custody and proper preservation were maintained, reflect any
anomalies in the samples (such as receipt of damaged samples), note proper log-in
of samples into the laboratory, and address procedures used to ensure that holding
time requirements were met.
• Test Methods - Analyses to be performed are described in the Phase II Scope of
Work (Attachment 1) and in Table Al. Attachments 4 through 6 describe how the
analyses will be carried out in the project laboratories, including sample
preparation and analysis, instrument standardization, detection and reporting
limits, and test-specific QC criteria. Documentation demonstrating laboratory
proficiency with each method used is included or is available for inspection.
QC Reports - These reports will include the general QC records, such as
initial demonstration of capability, instrument calibration, routine monitoring of
analytical performance, calibration verification, etc. Project-specific information
from the quality assurance/quality control (QA/QC) checks such as blanks, spikes,
calibration check samples, etc. will be included in these reports to facilitate data
quality analysis.
A-5
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July 31,2000
Table Al. Measurement and analytical methods for Phase II laboratories.
Media/Parameter SERP SESD/ESAT Battelle
Surface Water
Dissolved Oxygen
pH
Temperature
Conductivity
Redox Potential
Water Depth
Turbidity
Total Phosphorus
Total Nitrogen
Ammonium-N (filtered-0.8)*
Nitrite-N (filtered)*
Nitrate-N (filtered)*
Soluble Reactive Phosphate*
Total Organic Carbon
Sulfate
Sulfate (filtered - 0.8)*
Sulfide*
Alkaline Phosphatase
Total Mercury
Methyl Mercury
-
-
~
-
~
~
~
EPA365.1(modified)
Antek 7000N Analyzer
EPA 350.1
EPA 353.2
EPA 353.2
EPA 365.1
EPA 4 15.1 (modified)
-
EPA 300.0
-
Experimental Methodology
CVAF
CVAF
EPA 360.1
EPA 150.1
EPA 170.1
EPA 120.1
Voltage Meter
Calibrated Extensive Rod
EPA 180.1
EPA 365.1
EPA 351.1 + (EPA 300 or 353.2) (1)
EPA 350.1
EPA 353.2 or EPA 300
EPA 353.2 or EPA 300
EPA 365. lor EPA 300
EPA 415.2
EPA 300.0
EPA 300.0
Hach
~
CVAF
~
~
-
~
~
~
-
~
-
~
-
~
~
-
-
~
~
~
CVAF
CVAF
Pore Water*
Total Phosphorus*
Total Nitrogen*
Ammonium-N (filtered)*
Nitrite-N (filtered)*
Nitrate-N (filtered)*
Soluble Reactive Phosphate*
Bromide*
Chloride*
Fluoride*
Sulfate (ion)*
Sulfide*
EPA 365.1
Antek 7000N Analyzer
EPA 350.1
EPA 353.2
EPA 353.2
EPA 365.1
~
~
~
-
-
~
-
-
~
~
~
EPA 300.0
EPA 300.0
EPA 300.0
EPA 300.0
Hach
~
-
-
~
~
~
-
-
~
~
~
Soil/Sediment
Type
Thickness
Redox Potential (in situ)
Total Mercury
Methyl Mercury
Sulfate
Total Phosphorus
-
-
~
CVAF
CVAF
-
EPA 365.1
Visual Classification
Visual Classification
Voltage Meter
CVAF
~
EPA 300.0
~
~
~
-
CVAF
CVAF
~
~
(1) Sum of TKN + NO2/NO3
* = Parameter added for the Phase II analysis
A-6
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July 31,2000
Table Al. (Continued)
Media/Parameter
Ash Free Dry Weight
Bulk Density
Mineral Content
Methane*
Carbon Dioxide*
Alkaline Phosphatase
SERP
ASTM D2974-87
ASTMD4531-86
ASTM D 2974-87
ASTM D 2974-87
ASTM D 2974-87
Experimental Analytical
Methodology
SESD/ESAT
~
~
-
~
~
~
Battelle
~
~
-
~
~
~
Periphyton - Utricularia
Total Mercury
Methyl Mercury
Diatoms
Pigments
CVAF
CVAF
ASTM D 2974-87
ASTM D 2974-87
CVAF
~
~
~
CVAF
CVAF
~
~
Periphyton - Floating
Total Mercury
Methyl Mercury
Biomass*
Diatoms*
Pigments
CVAF
CVAF
ASTM D 2974-87
ASTM D 2974-87
CVAF
~
-
~
~
CVAF
CVAF
~
~
~
Media: Periphyton - Soil
Total Mercury
Methyl Mercury
Biomass*
Diatoms*
Pigments
CVAF
CVAF
ASTM D 2974-87
ASTM D 2974-87
CVAF
~
-
~
~
CVAF
CVAF
-
~
~
Media: Sawgrass
Total Mercury
CVAF
CVAF
CVAF
Media: Cattails
Total Mercury
CVAF
CVAF
CVAF
Media: Mosquitofish
Total Mercury
Length
Weight
Sex
Gut Contents
CVAF
Measurement
Measurement
Visual
Visual
CVAF
~
~
~
~
CVAF
~
~
~
~
Habitat Evaluation
Food Habits Analysis*
Periphyton*
Microphyton*
Aerial Photo Interpretation*
Visual
Experimental
Experimental
~
-
Experimental
Experimental (UGA)
~
-
-
-
(1) Sum of TKN + NO2/NO3
* = Parameter added for the Phase II analysis
A-7
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July 31,2000
A5.2.3 Data Handling Records Documentation
The protocols and actions used in data reduction, verification, and validation are provided
below and in Section D of this QAPP. Data reduction addresses data transformation operations
such as converting raw data into reportable quantities and units, use of significant figures,
recording of extreme values, blank corrections, etc. Data verification ensures the accuracy of data
transcription and calculations, if necessary, by checking a set of computer calculations manually.
Data validation ensures that QC criteria have been met.
A5.3 Data Reporting Package Format and Documentation Control
The format of data reporting packages will be consistent with the requirements and
procedures used for data validation and data assessment described in Sections B, C, and D of this
QAPP. Individual records that represent actions taken to achieve the objective of the data
operation and the performance of specific QA functions are potential components of the final
data reporting package.
A5.4 Data Reporting Package Archiving and Retrieval
Data reporting packages will be stored at the offices of FTN Associates, Ltd., in Little
Rock, Arkansas, until the end of the data analysis and QA/QC checks. Upon completion of these
activities, the data reporting packages will be transferred to the EPA Region IV offices in
Athens, GA. The laboratories will keep all documentation related to the data reporting package
and preparation and analysis of samples on file for a minimum of 5 years. If the laboratory
desires to dispose of these records after 5 years they will first contact the EPA quality assurance
officer. The EPA quality assurance officer may request that the documents be forwarded to EPA.
A-8
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July 31,2000
MEASUREMENT/DATA ACQUISITION
Bl SAMPLING PROCESS DESIGN (EXPERIMENTAL DESIGN)
Bl.l Purpose/Background
This section provides information to describe how and why the samples will be collected.
The Phase II REMAP Statement of Work (Attachment 1) presents a detailed discussion of the
sampling strategies including station location selection and sampling protocols (specific
sampling protocols are also included in ESAT [1996] - Attachments 3). This was also fully
documented in South Florida Ecosystem Assessment Final Technical Report - Phase I,
EPA 904-R-98-002. Included in these documents are
• a schedule for project sampling activities,
• a rationale for the design (in terms of meeting DQOs),
• the sampling design assumptions, and
• the procedures for locating and selecting environmental samples.
B1.2 Classification of Measurements as Critical or Noncritical
Classification of measurements as being critical versus noncritical was performed at a
Technical Team meeting held at EPA Region IV offices on October 15, 1998. A listing of
critical and noncritical measurements is included as Tables Bl and B2. The basis of selection of
critical vs. noncritical measurements was that measurements thought to have regulatory
implications or usage for setting regulatory criteria/standards were considered "critical"
measurements. All other measurements collected during the project are considered noncritical
and useable for research purposes. These tables also designate Project Laboratory
responsibilities, desired method detection limits (MDLs), and the anticipated sample numbers.
B-l
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July 31,2000
Table B1. REMAP Phase n critical parameters by cycle.
Parameter
Primary
Lab
Primary
QA/QC
Secondary
QA/QC
Primary Lab
MDL
Holding
times
Site No.
Per
Cycle
Samp
No.
SURFACE WATER
DO
pH
Conductivity
Turbidity
Total Phosphorus
Total Nitrogen
Total Organic Carbon
Sulfate
Total Mercury
Methyl Mercury
SESD
SESD
SESD
SESD
FIU
FIU
FIU
SESD
FIU
FIU
SESD-
SOP
SESD-
SOP
SESD-
SOP
SESD
SESD
SESD
SESD
SESD
Battelle
Battelle
SESD
0.2 mg/L
0.1 s.u.
1.0 uS
0.1 NTU
0.6ug/L
0.03 mg/L
0.12 mg/L
0.05 mg/L
0.3 ng/L
0.02 ng/L
in situ
in situ
in situ
48hrs
28 days (1)
14 days (1)
28 days
28 days
28 days
28 days
129
129
129
129
129
129
129
129
129
129
129
129
129
155
155
155
155
155
187
187
SOIL/SEDIMENT
Total Mercury
Methyl Mercury
Total Phosphorus
Ash Free Dry Weight
Bulk Density
FIU
FIU
FIU
FIU
FIU
SESD
Battelle
SESD
Battelle
4.3 Mg/kg
0.2 Mg/kg
0.06 mg/kg
0.02 mg/kg
0.001 g/cc
28 days
28 days
28 days
129
129
129
129
129
155
155
155
155
155
MOSQUITO-FISH
Total Mercury
Length
Weight
FIU
FIU
FIU
SESD
Battelle
3. 2 Mg/kg
0.1 mm
0.05s
28 days
14days(1)
14 days (1)
129
129
129
1043
993
993
THg in water = 129 sites, 16 field blanks, 13 duplicates, 16 equip, blanks, 13 splits = 187
Porewater (nutrients/anions) = 129 sites, 13 dups, 16 equip blanks, 13 splits = 171
THg in soil = 129 sites, 13 dups, 13 splits = 155
THg in fish = 129 sites @ 7 fish/site = 903, 90 dups, 50 stand, tissue = 1,043
(i)
Holding time goals
B-2
-------
Table B2. REMAP Phase n noncritical parameters by cycle.
July 31,2000
Parameter
Primary
Lab
Primary
QA/QC
Secondary
QA/QC
Primary Lab
MDL
Holding
Times
Site No.
Per
Cycle
Samp
No.
SURFACE WATER
(Eh) Redox Potential
Depth
Sulfide
(APA) Alkaline
Phosphate
Temperature
Chlorophyll a
Sulfate (filtered-0. 8)*
Filtered (0.8) Nutrients
(NH4,NO2, NO3, PO4)*
SESD
SESD
SESD
SESD
SESD
FIU
SESD
FIU
SESD-SOP
SESD-SOP
SESD
FIU
SESD-SOP
FIU
SESD
SESD
ImV
1 cm
0.01 mg/L
0.01 uM/h
0.15C
0.1 ug/L
0.5 mg/1
NO3-0.7 ug/L
NO2-0.3 ug/L
NH4-0.8 ug/L
SRP-0.6 ug/L
in-situ
in-situ
7 days (1)
24 hrs (1)
in-situ
14 days (1)
28 days
48 hrs (1)
129
129
129
129
129
30
129
129
129
129
155
155
129
33
155
155
SOIL/SEDIMENT
Type
Thickness
PH
(Eh in situ) Redox
Potential
(Eh lab) Redox Potential
Sulfate
Mineral Content
(CH4) Methane*
(CO2) Carbon Dioxide*
(APA) Alkaline
Phosphate
SESD
SESD
SESD
SESD
SESD
SESD
FIU
FIU
FIU
FIU
1 cm
ImV
ImV
0.05 ug/kg
3%
14 days (1)
14 days (1)
in-situ
in-situ
48 hrs (1)
28 days (1)
14 days (1)
48 hrs (1)
48 hrs (1)
129
129
129
129
129
129
129
129
129
129
129
129
129
129
129
155
155
155
155
155
MOSQUITO-FISH
Sex
Food Habits Analysis
FIU
FIU
14 days (1)
129
129
993
993
PORE WATER*
Total Phosphorus*
Total Nitrogen*
Filtered (0.8) Nutrients
(NH4, N02, N03, P04)*
Anions (Br, Cl, Fl, NO2,
N03, SRP, S04)*
Sulfate*
FIU
FIU
FIU
SESD
SESD
0.6 ug/L
0.3 mg/L
N03-0.7 ug/L
N02-0.3 ug/L
NH4-0.8 ug/L
SRP-0.6 ug/L
ion chrom.
0.05 mg/L
28 days (1)
14 days (1)
48 hrs (1)
14 days (1)
28 days (1)
129
129
129
129
129
171
155
155
155
171
B-3
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Table B2. (Continued).
July 31,2000
Parameter
Sulfide*
Primary
Lab
SESD
Primary
QA/QC
Secondary
QA/QC
PERIPHYTON - Utricularia
Total Mercury
Methyl Mercury
Diatoms*
Pigments
FIU
FIU
FIU
FIU
Battelle
Battelle
Primary Lab
MDL
0.01 mg/L
4.3 ug/kg
0.2 ug/kg
Holding
Times
7 days «
28 days «
28 days «
14 days «
14 days «
Site No.
Per
Cycle
129
100
100
30
30
Samp
No.
171
110
110
33
33
PERIPHYTON - Soil
Total Mercury
Methyl Mercury
Biomass*
Diatoms*
Pigments
FIU
FIU
SESD
FIU
FIU
Battelle
Battelle
4.3 ug/kg
0.2 ug/kg
lg
28 days «
28 days «
14 days (1)
14 days «
14 days «
100
100
100
30
30
110
110
110
33
33
PERIPHYTON - Floating
Total Mercury
Methyl Mercury
Biomass*
Diatoms*
Pigments
FIU
FIU
SESD
FIU
FIU
Battelle
Battelle
4.3 ug/kg
0.2 ug/kg
lg
28 days «
28 days «
14 days (1)
14 days «
14 days «
100
100
100
30
30
110
110
110
33
33
SAWGRASS
Total Mercury
Surface Area (% cover)
FIU
UGA
Battelle
4.3 ug/ku
28 days «
65
65
72
CATTAILS
Total Mercury
Surface Area (% cover)
FIU
UGA
Battelle
4.3 ug/ku
28 days «
40
40
44
Habitat Evaluation
Food Habits Analysis*
Periphyton*
Microphyton*
Aerial Photo
Interpretation*
FIU
FIU
FIU
UGA
129
129
129
129
129
129
129
129
* = Parameter added for the Phase II analysis
** = minimum reportable quantities
THg in water = 129 sites, 16 field blanks, 13 duplicates, 16 equip, blanks, 13 splits = 187
Porewater (nutrients/anions) = 129 sites, 13 dups, 16 equip blanks, 13 splits = 171
THg in soil = 129 sites, 13 dups, 13 splits = 155
THg in fish = 129 sites @ 7 fish/site = 903, 90 dups, 50 stand, tissue = 1,043
(1) Holding time goals
B-4
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July 31,2000
B1.3 Validation of Any Nonstandard Methods
Nonstandard sampling/measurement methods will be validated by either comparisons
with standard sampling/measurement methods or by review of the associated QC and QA
samples generated versus QAPP requirements.
B2 SAMPLING METHODS REQUIREMENTS
B2.1 Sample Collection, Preparation, and Decontamination Procedures
Project sampling, preservation, preparation, and documentation protocols are included in
the ESA T SOP XXXII Standard Operating Procedures for Sampling Water Sediment and Biota in
Expansive Wetlands (ESAT, 1996), (Attachment 3). The project DQOs were considered in
choosing these methods to ensure that (1) the sample accurately represents the portion of the
environment to be characterized, (2) the sample is of sufficient volume to support the planned
chemical analysis, and (3) the sample remains stable during shipping and handling. EPA and
Southeast Environmental Research Program (SERF) personnel will provide technical support for
sampling activities associated with the project.
B2.2 Sampling/Measurement System Response and Corrective Action Process
Corrective actions for field activities will be documented and submitted with data reports
to FTN Associates for review during validation. When deviations from approved standard
operating procedures (SOPs) occur or in situations when sample integrity is compromised or
questionable, it is the responsibility of the staff member who identified the problem to bring it to
the attention of the Laboratory Manager or Field Team Leader immediately for resolution. In the
event of an instrument problem, it is the responsibility of the operator to attempt to correct the
problem (e.g., recalibrate the instrument). If the problem persists or cannot be identified, the
issue should be brought to the attention of the Laboratory Manager or Field Team Leader for
resolution. Such issues will be documented by the Laboratory Manager or Field Team Leader and
submitted to Science and Ecosystems Support Division Office of Quality Assurance (SESD
OQA) and FTN Associates.
B-5
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July 31,2000
B2.3 Sampling Equipment, Preservation, and Holding Time Requirements
Sampling equipment, preservation, and holding time requirements for the study
parameters are addressed in Tables Bl and B2 and the SESD, SERF, and Battelle QA Plans in
Attachments 4 through 6.
B3 SAMPLE HANDLING AND CUSTODY REQUIREMENTS
Sample handling and shipping requirements are found in the ESAT, 1996 (Attachment 3).
Chain-of-custody tracking/management for the project is performed using SESD's FORMS (field
operations record management system) software.
These procedures insure that
samples are collected, transferred, stored, and analyzed by authorized personnel;
sample integrity is maintained during all phases of sample handling and analyses;
and
• an accurate written record is maintained of sample handling and treatment from
the time of its collection through laboratory procedures to disposal.
A sample is in custody if it is in actual physical possession or it is in a secured area that is
restricted to authorized personnel. Custody for this project is primarily concerned with the
tracking of sample collection, handling, and analysis.
An outline of the scope of sample custody starting from the planning of sample collection
progressing through field sampling and sample analysis to sample disposal is included in
Attachment 3. Samples will be numbered using the format X^-YYY-AAB, where Xt is the
sampling event (P = pilot; W = wet season; D = dry season) and X2 is the replicate designation
(A, B, or C). YYY is the sampling site designation and AA indicates sample media. The sample
media codes are as follows:
SW - surface water PS - periphyton, soil mat (not floating)
SG - sawgrass PW - pore water
CT - cattail SD - soil, sediment
FS - fish PU - periphyton, Utricularia
PM - periphyton, floating mat FC - Floe
B-6
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July 31,2000
"B" is laboratory designation (B - Battelle, S - SESD, F - FIU). Examples of forms and
labels that will be utilized during the project are included in Attachment 3. An example of the
chain-of-custody forms that could be utilized is found in Figure Bl.
B4 ANALYTICAL METHODS
B4.1 Purpose/Background
Specific monitoring methods and requirements to demonstrate compliance traditionally
have been specified in the applicable regulations and/or permits. However, this approach is being
replaced by the Performance-Based Measurement System (PBMS). PBMS is a process in which
data quality needs, mandates, or limitations of a program or project are specified and serve as
criterion for selecting appropriate methods. Under the PBMS framework, the performance of the
method employed is emphasized rather than the specific technique or procedure used in the
analysis. Equally stressed in this system is the requirement that the performance of the method be
documented and that appropriate QA/QC procedures have been conducted to verify the
performance. PBMS applies to physical, chemical, and biological techniques of analysis
performed in the field as well as in the laboratory. PBMS does not apply to the method-defined
parameters.
The listing of analyses anticipated during the project are included in Table Al of this
QAPP. Details of the analytical methods and equipment required for each of the methods are
addressed in the SESD, SERF, and Battelle QA Plans in Attachments 4 through 6. These
references include any subsampling and/or extraction/preparation methods, laboratory
decontamination procedures and materials, and waste disposal requirements (if any).
B-7
-------
U.S. EWMONNCMTAL PROTCCIOM AGCNCY
CHAIN OF CUSTODY RECORD
CQLLEC3E
B1, Sample Chaiivof-Custody Fo-rm,
-------
July 31,2000
For noncritical analyses (Table B2), method performance study information will be
developed to document performance of the method for the particular matrix.
B5 QUALITY CONTROL REQUIREMENTS
QC requirements are discussed as part of the validation section (Section D). Sampling
process design, which identifies the planned field QC samples as well as procedures for QC
sample preparation and handling will be finalized following the pilot study in early 1999.
In general, measurement performance assessment follows the Phase II REMAP Statement of
Work.
B6 INSTRUMENT/EQUIPMENT TESTING, INSPECTION, AND MAINTENANCE
REQUIREMENTS
Equipment testing, inspection and maintenance procedures are addressed in the SESD,
SERF, and Battelle QA Plans in Attachments 4 through 6. The purpose of this testing is to ensure
that all instruments and equipment are maintained in sound operating condition and are capable
of operating at acceptable performance levels.
B7 INSTRUMENT CALIBRATION AND FREQUENCY
B7.1 Purpose/Background
Calibration here refers to checking instrument measurements against standards with
known valid relationships to nationally recognized performance standards.
B7.2 Instrumentation Requiring Calibration
Field and laboratory equipment associated with this project that are calibrated are listed in
the laboratory QA Plans, Attachments 4 through 6.
B-9
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July 31,2000
B7.3 Calibration Methods
All field and laboratory instruments are calibrated and checked for proper function prior
to all analyses. Documentation of calibration for analytical instruments will be maintained by
each laboratory and SESD for field instruments. Procedures for calibrating field equipment are
included in ESAT, 1996 (Attachment 3). Calibration procedures for laboratory equipment are
included in the individual analytical methods.
B7.4 Calibration Apparatus
This section is not applicable. All instruments are calibrated using standard materials.
B7.5 Calibration Standards
Primary standards are purchased from reliable scientific supply firms. The standards
received by the Project Laboratories and Field Team will be inspected, dated, initialed, and
stored in the appropriate storage area for that standard (desiccator, refrigerator, or freezer). Once
opened, the standards will be dated and initialed again. The manufacturer's certificates for
standards received will be kept on file at the Project Laboratories.
Primary standards are prepared by dissolving the source standard into the appropriate
solvent. Secondary and working standards are prepared by diluting the primary standards in the
appropriate solvent. Standard preparation methods are detailed in the individual laboratory SOPs.
The date, concentration, chemical vendor lot number, and technician's initials for all standards
made will be recorded and maintained by the Project Laboratories. Primary standards are
produced at least quarterly, while working standards are produced daily.
B7.6 Calibration Frequency
Frequency of calibration of field instruments is provided in Attachment 3 (ESAT, 1996).
Calibration frequency for laboratory instruments basically occurs prior to each use at least daily.
After instrument calibration, an initial calibration verification sample is run at the start of each
B-10
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July 31,2000
analytical batch (a batch equals approximately 20 samples), and continuing calibration
verification checks are run after approximately every 10 samples and/or the end of the batch.
B8 SUPPLIES AND CONSUMABLES
The purpose of this element is to document that a system for receiving, inspecting, and
accepting supplies and consumables that may directly or indirectly affect the quality of the
project or task is in place in the analytical laboratories. The on-site performance evaluation audit
(Section D) will include inspection of laboratory protocols and documentation for proper receipt,
inspection, cleaning, labeling, decontamination, etc. of supplies and consumables as necessary.
B9 DATA ACQUISITION REQUIREMENTS (NONDIRECT MEASUREMENTS)
This section is not applicable to this project.
BIO DATA MANAGEMENT
B10.1 Purpose/Background
This element is an overview of operations and analyses performed on raw ("as-collected")
data to change their form of expression, location, quantity, or dimensionality. These operations
include data recording, validation, transformation, transmittal, reduction, analysis, management,
storage, and retrieval. Selected field measurements and analytical results and associated
information will be transferred to electronic files. These files can be created in any spreadsheet
program that is compatible with QuattroPro version 6 (or the spreadsheet and version that is
currently standard at EPA).
B10.2 Data Recording and Reduction
Data recording shall be accomplished using established techniques. The calculations
required to perform the reduction of data may be performed manually or with the aid of
automated data processing systems. In either case, the SOPs for the testing/analysis of samples
will specify the calculations and the mode for raw data processing. To reduce the potential of
B-ll
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July 31,2000
errors in data transcription, the manual transfer of data will be minimized. All calculations
performed manually will be checked for accuracy by someone other than the person performing
the original calculation. Checking shall be documented, by signature and date in the raw data.
Separate documentation is acceptable, provided traceable records are maintained. For automated
data processing or recording, the accuracy of values will be verified through the use of standards
or raw data inputs with known results.
B10.3 Data Transformation
Data transformation is discussed in the Phase II Scope of Work (Attachment 1) and
relates to specific requirements of data users. Data analysis results will be provided in a
comprehensive report that will be prepared following field and laboratory tasks.
B10.4 Data Transmittal
All collected data that will be used for analysis will be entered into electronic files in
either Excel, QuattroPro, or dBase IV. Lists of the data that could be included in the electronic
files for each analyst (EPA/SESD, EPA/ESAT, FIU/SERP, and Battelle) are included as Tables
B3 through B6 (the tables may not reflect final decisions regarding analyses to be performed).
These electronic files will be sent to FTN Associates on diskettes or via e-mail. If necessary, the
data files may be compressed using PKZIP or WINZIP. These provided data will be imported
into the statistics and graphing package SYSTAT 7.0 (SPSS Inc., 1997, Chicago, IL). Data for
analyses will be extracted from these files and combined as needed.
B10.5 Data Analysis
Data analyses will include using analytical results in the EPA ORD NERL-Athens
mercury screening model and the BASS model. Summary statistics will be calculated and
compared for a number of regional groupings. Analytical results will also be used to create
B-12
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July 31,2000
spatial isoconcentration maps. Additional statistical analyses of analytical results will likely
include cumulative distributions, ANOVAs, regressions, and trend analyses. These analyses will
use the data for the entire study area grouped together, or split by geographic regions. Most of
these statistical analyses will be performed using SYSTAT. QuattroPro will be used to develop
the cumulative distributions.
B10.6 Data Storage and Retrieval
Data received by FTN from the field data collectors and the laboratories will be imported
into SYSTAT files that will not be modified. These files will serve as storage for these data. Any
data files needed for data analyses will be created using data extracted from these storage files.
For the duration of this project, these files will be stored at the office of FTN Associates in Little
Rock, AR. Upon completion of this phase of the project, these files will be transferred to the
EPA Region IV offices in Athens, GA in a spreadsheet format (Excel, QuattroPro, or dBase IV).
B-13
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Table . . Analytical data from ASS lab.
Surface ater ore ater Soil Floe eriphyton Cattail Sawgrass Fish
Sample I
Field sample name
eriphyton Type mat or epiphytic
Total Hg collection date
lab batch id for total Hg analysis
sample result for total Hg
units of total Hg
dilution
analysis date
analysis time
duplicate and or replicate total Hg sample results
total Hg spi e and or standard percent reco erys
total Hg sample minimum detection le el
T C
collection date
lab batch id for T C analysis
sample result for T C
units of T C
analysis date
analysis time
duplicate and or replicate T C sample results
T C spi e and or standard percent reco erys
T C sample minimum detection le el
Total
collection date
lab batch id for Total analysis
sample result for Total
units of Total
dilution
analysis date
analysis time
duplicate and or replicate Total sample results
Total spi e and or standard percent reco erys
Total sample minimum detection le el
Filtered collection date
Ammonia lab batch id for filtered NH4 analysis
sample result for filtered NH4
units of filtered NH4
dilution
analysis date
analysis time
-------
Table . . Continued.
duplicate and or replicate filtered NH4 sample results
filtered NH4 spi e and or standard percent reco erys
filtered NH4 sample minimum detection le el
Filtered
Nitrite
collection date
lab batch id for filtered N analysis
sample result for filtered N
units of filtered N
dilution
analysis date
analysis time
duplicate and or replicate filtered N sample results
filtered N spi e and or standard percent reco erys
filtered N sample minimum detection le el
Filtered
Nitrate
collection date
lab batch id for filtered N analysis
sample result for filtered N
units of filtered N
dilution
analysis date
analysis time
duplicate and or replicate filtered N sample results
filtered N spi e and or standard percent reco erys
filtered N sample minimum detection le el
Filtered collection date
hosphate lab batch id for filtered 4 analysis
(S ) sample result for filtered 4
units of filtered 4
dilution
analysis date
analysis time
duplicate and or replicate filtered 4 sample results
filtered 4 spi e and or standard percent reco erys
filtered 4 sample minimum detection le el
Filtered
Sulfate
collection date
lab batch id for filtered S 4 analysis
sample result for filtered S 4
units of filtered S 4
dilution
analysis date
analysis time
-------
Table . . Continued.
duplicate and or replicate filtered S 4 sample results
filtered S 4 spi e and or standard percent reco erys
filtered S 4 sample minimum detection le el
T N
collection date
lab batch id for T N analysis
sample result for T N
units of T N
dilution
analysis date
analysis time
duplicate and or replicate T N sample results
T N spi e and or standard percent reco erys
T N sample minimum detection le el
Unfiltered collection date
Nitrite lab batch id for unfiltered N analysis
sample result for unfiltered N
units of unfiltered N
dilution
analysis date
analysis time
duplicate and or replicate unfiltered N sample results
unfiltered N spi e and or standard percent reco erys
unfiltered N sample minimum detection le el
Unfiltered collection date
Nitrate lab batch id for unfiltered N analysis
sample result for unfiltered N
units of unfiltered N
dilution
analysis date
analysis time
duplicate and or replicate unfiltered N sample results
unfiltered N spi e and or standard percent reco erys
unfiltered N sample minimum detection le el
Sulfate anion collection date
lab batch id for S 4 anion analysis
sample result for S 4 anion
units of S 4 anion
dilution
analysis date
analysis time
-------
Table . . Continued.
duplicate and or replicate S 4 anion sample results
S 4 anion spi e and or standard percent reco erys
S 4 anion sample minimum detection le el
Chloride anion collection date
lab batch id for Cl anion analysis
sample result for Cl anion
units of Cl anion
dilution
analysis date
analysis time
duplicate and or replicate Cl anion sample results
Cl anion spi e and or standard percent reco erys
Cl anion sample minimum detection le el
romide anion collection date
lab batch id for r anion analysis
sample result for r anion
units of r anion
dilution
analysis date
analysis time
duplicate and or replicate r anion sample results
r anion spi e and or standard percent reco erys
r anion sample minimum detection le el
Fluoride anion collection date
lab batch id for F anion analysis
sample result for F anion
units of F anion
dilution
analysis date
analysis time
duplicate and or replicate F anion sample results
F anion spi e and or standard percent reco erys
F anion sample minimum detection le el
Unfiltered collection date
ortho- lab batch id for unfiltered ortho- analysis
sample result for unfiltered ortho-
units of unfiltered ortho-
dilution
analysis date
analysis time
-------
Table . . Continued.
duplicate and or replicate unfiltered ortho- sample results
unfiltered ortho- spi e and or standard percent reco erys
unfiltered ortho- sample minimum detection le el
-------
Table B.4. Analytical data from EPA/ESAT lab.
Sample ID
Periphyton Type
Hydrogen
Sulfide
Turbidity
Alkaline
Phosphatase
Field sample name
mat or epiphytic
collection date
lab batch id for FES analysis
sample result for H2S
units of H2S
% dilution
analysis date
analysis time
duplicate and/or replicate H2S sample results
H2S spike and/or standard percent recoverys
H2S sample minimum detection level
collection date
lab batch id for turbidity analysis
sample result for turbidity
units of turbidity
% dilution
analysis date
analysis time
duplicate and/or replicate turbidity sample results
turbidity spike and/or standard percent recoverys
turbidity sample minimum detection level
collection date
lab batch id for alkaline phosphatase analysis
sample result for alkaline phosphatase
units of alkaline phosphatase
% dilution
analysis date
analysis time
duplicate and/or replicate alkaline phosphatase sample results
alkaline phosphatase spike and/or standard percent recoverys
alkaline phosphatase sample minimum detection level
Surface Water
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Pore Water Soil Floe Periphyton Cattail Sawgrass Fish
X
X
X
X
X
X
X
X
X
X
X
-------
Table .5. Analytical data from FIU S lab.
Surface ater
ore ater
Soil
Floe eriphyton Cattail Sawgrass
Fish
Sample I
Field sample name
eriphyton Type mat or epiphytic
Total Hg collection date
lab batch id for total Hg analysis
sample result for total Hg
units of total Hg
dilution
analysis date
analysis time
duplicate and or replicate total Hg sample results
total Hg spi e and or standard percent reco erys
total Hg sample minimum detection le el
ethyl Hg collection date
lab batch id for methyl Hg analysis
sample result for methyl Hg
units of methyl Hg
dilution
analysis date
analysis time
duplicate and or replicate methyl Hg sample results
methyl Hg spi e and or standard percent reco erys
methyl Hg sample minimum detection le el
thyl Hg collection date
lab batch id for ethyl Hg analysis
sample result for ethyl Hg
units of ethyl Hg
dilution
analysis date
analysis time
duplicate and or replicate ethyl Hg sample results
ethyl Hg spi e and or standard percent reco erys
ethyl Hg sample minimum detection le el
T C
collection date
lab batch id for T C analysis
sample result for T C
units of T C
analysis date
analysis time
-------
Table .5. (Continued).
duplicate and or replicate T C sample results
T C spi e and or standard percent reco erys
T C sample minimum detection le el
Total
collection date
lab batch id for Total analysis
sample result for Total
units of Total
dilution
analysis date
analysis time
duplicate and or replicate Total sample results
Total spi e and or standard percent reco erys
Total sample minimum detection le el
Total N
collection date
lab batch id for total N analysis
sample result for total N
units of total N
analysis date
analysis time
duplicate and or replicate total N sample results
total N spi e and or standard percent reco erys
total N sample minimum detection le el
Filtered collection date
Ammonia lab batch id for filtered NH4 analysis
sample result for filtered NH4
units of filtered NH4
dilution
analysis date
analysis time
duplicate and or replicate filtered NH4 sample results
filtered NH4 spi e and or standard percent reco erys
filtered NH4 sample minimum detection le el
Filtered
Nitrite
collection date
lab batch id for filtered N analysis
sample result for filtered N
units of filtered N
dilution
analysis date
analysis time
duplicate and or replicate filtered N sample results
-------
Table .5. (Continued).
filtered N spi e and or standard percent reco erys
filtered N sample minimum detection le el
Filtered
Nitrate
collection date
lab batch id for filtered N analysis
sample result for filtered N
units of filtered N
dilution
analysis date
analysis time
duplicate and or replicate filtered N sample results
filtered N spi e and or standard percent reco erys
filtered N sample minimum detection le el
Filtered collection date
hosphate lab batch id for filtered 4 analysis
(S ) sample result for filtered 4
units of filtered 4
dilution
analysis date
analysis time
duplicate and or replicate filtered 4 sample results
filtered 4 spi e and or standard percent reco erys
filtered 4 sample minimum detection le el
Unfiltered collection date
Nitrite lab batch id for unfiltered N analysis
sample result for unfiltered N
units of unfiltered N
dilution
analysis date
analysis time
duplicate and or replicate unfiltered N sample results
unfiltered N spi e and or standard percent reco erys
unfiltered N sample minimum detection le el
Unfiltered collection date
Nitrate lab batch id for unfiltered N analysis
sample result for unfiltered N
units of unfiltered N
dilution
analysis date
analysis time
duplicate and or replicate unfiltered N sample results
-------
Table .5. (Continued).
unfiltered N spi e and or standard percent reco erys
unfiltered N sample minimum detection le el
Unfiltered collection date
rtho- lab batch id for unfiltered ortho- analysis
sample result for unfiltered ortho-
units of unfiltered ortho-
dilution
analysis date
analysis time
duplicate and or replicate unfiltered ortho- sample results
unfiltered ortho- spi e and or standard percent reco erys
unfiltered ortho- sample minimum detection le el
Sulfate anion collection date
lab batch id for S 4 anion analysis
sample result for S 4 anion
units of S 4 anion
dilution
analysis date
analysis time
duplicate and or replicate S 4 anion sample results
S 4 anion spi e and or standard percent reco erys
S 4 anion sample minimum detection le el
Chloride anion collection date
lab batch id for Cl anion analysis
sample result for Cl anion
units of Cl anion
dilution
analysis date
analysis time
duplicate and or replicate Cl anion sample results
Cl anion spi e and or standard percent reco erys
Cl anion sample minimum detection le el
romide anion collection date
lab batch id for r anion analysis
sample result for r anion
units of r anion
dilution
analysis date
analysis time
duplicate and or replicate r anion sample results
-------
Table .5. (Continued).
r anion spi e and or standard percent reco erys
r anion sample minimum detection le el
Fluoride anion collection date
lab batch id for F anion analysis
sample result for F anion
units of F anion
dilution
analysis date
analysis time
duplicate and or replicate F anion sample results
F anion spi e and or standard percent reco erys
F anion sample minimum detection le el
Ash Free collection date
ry eight lab batch id for AF analysis
sample result for AF
units of AF
analysis date
analysis time
duplicate and or replicate AF
sample results
ul ensity collection date
lab batch id for bul density analysis
sample result for bul density
units of bul density
analysis date
analysis time
duplicate and or replicate bul density sample results
ineral
Content
collection date
sample result for mineral content
units of mineral content
analysis date
analysis time
duplicate and or replicate mineral content sample results
ethane collection date
lab batch id for CH4 analysis
sample result for CH4
units of CH4
analysis date
analysis time
duplicate and or replicate CH4 sample results
CH4 sample minimum detection le el
-------
Table .5. (Continued).
Carbon
io ide
collection date
lab batch id for C analysis
sample result for C
units of C
analysis date
analysis time
duplicate and or replicate C sample results
C sample minimum detection le el
iatom collection date
Composition lab batch id for diatoms analysis
sample result for diatoms
units of diatoms
analysis date
analysis time
duplicate and or replicate diatoms sample results
igment collection date
lab batch id for pigment analysis
sample result for pigment
units of pigment
analysis date
analysis time
duplicate and or replicate pigment sample results
Al aline collection date
hosphatase lab batch id for al aline phosphatase analysis
sample result for al aline phosphatase
units of al aline phosphatase
dilution
analysis date
analysis time
duplicate and or replicate al aline phosphatase sample results
al aline phosphatase spi e and or standard percent reco erys
al aline phosphatase sample minimum detection le el
olume eight collection date
atio lab batch id for olume weight ratio
sample result for olume weight ratio
units of olume weight ratio
analysis date
analysis time
duplicate and or replicate olume weight ratio results
-------
Table B.6. Analytical data from Battelle lab.
Surface Water Pore Water Soil
Sample ID
Periphyton Type
Total Hg
Methyl Hg
Field sample name
mat or epiphytic
collection date
lab batch id for total Hg analysis
sample result for total Hg
units of total Hg
% dilution
analysis date
analysis time
duplicate and/or replicate total Hg sample results
total Hg spike and/or standard percent recovery s
total Hg sample minimum detection level
collection date
lab batch id for methyl Hg analysis
J D J
sample result for methyl Hg
units of methyl Hg
% dilution
analysis date
analysis time
duplicate and/or replicate methyl Hg sample results
methyl Hg spike and/or standard percent recoverys
methyl Hg sample minimum detection level
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Floe Periphyton Cattail Sawgrass Fish
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
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July 31,2000
ASSESSMENT/OVERSIGHT
Cl ASSESSMENTS AND RESPONSE ACTIONS
Cl.l Purpose/Background
This element of the QAPP describes the internal and external checks necessary to ensure
that
• all elements of the QAPP are correctly implemented as prescribed;
• the quality of the data generated by implementation of the QAPP is adequate; and
• corrective actions, when needed, are implemented in a timely manner and their
effectiveness is confirmed.
External assessments that are planned are described in the QAPP although the most
important part of this element is documenting all planned internal assessments. Generally,
internal assessments are initiated or performed by the laboratory QA Officers.
C1.2 Assessment of Project Activities
The following assessments are planned as part of the overall QA/QC associated with the
project.
A) Technical Systems Audit (TSA). A TSA is a onsite qualitative audit, where
facilities, equipment, personnel, training, procedures, and record keeping are
examined for conformance to the QAPP. One TSA is planned during the project
to review field sampling and analytical activities and the FIU contract
laboratories. The TSA will be utilized with broad coverage to evaluate the
management structure, policy, practices, or procedures. The TSA will be
conducted during the second seasonal sampling.
B) Performance Evaluation (PE). Use of "blind" PE samples will indicate accuracy
and precision of the measurement system. The constituents to be measured will
include all "critical" parameters for aqueous samples. PE samples will be utilized
C-l
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July 31,2000
during the seasonal sampling and analyses. Historical PE data from the analytical
laboratories will also be evaluated. Successful accomplishment of PEs will be
based on criteria presented in Section D.
C) Data Quality Assessment (DQA). A DQA will be performed to ensure data
collected during the project meet the assumptions that the DQOs and data
collection design were developed under and whether the total error in the data is
tolerable.
A combination of SESD OQA and FTN personnel will perform the TSAs during the
project. Results of audits and other assessments that reveal findings of practices or procedures
that do not conform to the written QAPP will be reported to the Project Technical Director in
writing within 1 week of the audit. The written summary will provide recommendations for
corrective actions. Upon approval of the corrective actions by the Project Technical Director, the
field sampling group or analytical laboratory that is the subject of the recommendations will be
notified of the finding and the required corrective actions. Written documentation of
implementation of the corrective actions will be required to be returned to Mr. Mike Birch,
SESD OQA and Dr. Kent Thornton, FTN Associates.
C2 REPORTS TO MANAGEMENT
Effective communication between all personnel is an integral part of a quality system.
Written reports provide a structure for apprising management of the project schedule, the
deviations from approved QA and test plans, the impact of these deviations on data quality, and
the potential uncertainties in decisions based on the data. Verbal communication on deviations
from QA plans should be noted in summary form.
Management reports are anticipated on a routine frequency of once per week during
sampling and analytical activities associated with the two seasonal sampling events. The
anticipated benefits of these reports include alerting the management of data quality problems,
proposing viable solutions, and procuring additional resources. If program assessment (including
the evaluation of the technical systems, the measurement of performance, and the assessment of
data) is not conducted on a continual basis, the integrity of the data generated in the program may
C-2
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July 31,2000
not meet the quality requirements. These audit reports, submitted in a timely manner, will
provide an opportunity to implement corrective actions when most appropriate.
The reports to management will originate from three groups: (1) the field
sampling/activities group, (2) the analytical laboratories, and (3) the data validation/management
group. Reports will be directed to Dr. Jerry Stober, the Project Technical Director.
Contents of the reports will include (1) status of the project each group is associated with,
(2) anticipated activities for the next period, (3) problems or delays encountered and associated
resolutions, (4) additional needs, and (5) general comments.
C-3
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July 31,2000
DATA VALIDATION
This section presents validation activities that occur before, during, and after the data
collection phases of the project. QA/QC sampling, analytical, and validation requirements
described in this QAPP will generally apply to both the pilot and two seasonal sampling periods
during the Phase II assessment. However, various nonstandard or developmental sampling
protocols and analytical methods/protocols utilized during the pilot sampling in early 1999 may
not be continued in subsequent seasonal sampling phases. These pilot study protocols will be
closely evaluated based on a number of criteria including problems encountered, volume and
applicability of data collected compared to the sampling effort, cost of data collection, data needs
to address sampling design parameters, etc. Based on this evaluation, sampling parameters and
protocols, as well as analytical methods (and to some degree, validation requirements) will be
refined as necessary and included in the wet and dry season sampling efforts. This QAPP will be
revised following the pilot study sampling and analysis. It is anticipated, however, that many
data produced from the pilot study will meet validation requirements and will be available for
various uses including design of subsequent phases, future analyses and system characterization.
The SERF of Florida International University will be the primary analytical laboratory
during the project. The Florida Department of Environmental Protection (DEP) has reviewed
and approved the SERF QA Plans and methods manuals for analytical services and mercury
laboratories. The EPA Region IV SESD analytical laboratory and Battelle's Marine Science
Laboratory in Sequim, WA are also providing extensive analytical services for the Phase II
Assessment. Laboratory-specific listing of analyses for the project are included as Tables Bl and
B2.
Section Dl of this QAPP provides criteria that will be used to review and "validate"
(i.e., accept, reject, or qualify) data produced during this project by the contract laboratories. The
process to be used during validation is discussed in Section D2. Sections D2 and D3 describe
how limitations on the use of the data will be reported to the data users.
D-l
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July 31,2000
Dl VALIDATION CRITERIA
The USEPA Region IV SESD OQA QA/QC attachment to the September, 1998
Statement of Work (in Attachment 1) was followed to prepare this section of the QAPP. SERP's
current DEP contract for analytical and sampling support services (Contract No. SP419) was also
followed during development of the QAPP and the specific validation criteria as well as
Battelle's Quality Assurance Management Plan (Attachment 5). Actual validation of the data
associated with the project will be achieved with development and review (verification) of
documentation to show that the required QA/QC procedures are followed. As stated in the
QA/QC attachment to the Work Plan, the QA/QC documentation developed during the project
will allow evaluation of the following indicators of data quality:
Integrity and stability of the samples,
• Instrument performance during analysis,
Sample contamination,
• Identification and quantitation of analytes,
Analytical precision, and
• Analytical accuracy.
The following sections provide criteria that must be met to evaluate and validate data
generated during the project. Specific exceptions (i.e., certain sample and analytical methods) to
these validation criteria are discussed in subsections below. In addition, certain corrective
actions to resolve QC problems are presented in these following sections.
General QA/QC requirements for the project include the following:
• Field sampling activities will follow the Phase n REMAP Statement of Work
(Attachment 1) and protocols described in ESAT (1996) (Attachment 3).
• Analytical laboratories involved with the project will establish and implement
comprehensive QA programs to define the reliability of the analytical results
produced for this project. The QA programs will be documented in a written QA
plans that will be submitted, along with this QAPP, for approval by SESD OQA.
Analytical laboratories utilized will comply with the EPA approved laboratory QA
plans submitted as required during this project. Any proposed modifications to the
D-2
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July 31,2000
laboratory QA plans must be reviewed and approved by EPA prior to
implementing the modification. If there is a discrepancy between this QAPP and
Attachments 4-6, this QAPP will supercede individual laboratory QA Plans.
Sample containers, blank water, and equipment - Field and laboratory personnel
will prepare and use containers and equipment that do not contribute
contamination to samples detectable as critical constituents. Field equipment
blanks will be utilized to verify this requirement by comparing analyte
concentrations in the wash water before and after it contacts the equipment.
Blank requirements specifically apply to surface water (media) samples only at a
level of 1 blank prepared (field or equipment) per batch or for approximately
every 20 samples collected.
Sample custody and tracking - Field and laboratory custody will utilize SESD's
"FORMS" software and will follow SOPs in ESAT (1996) (Attachment 3).
Chain-of-custody will be maintained throughout sampling, transport, and analysis.
Documentation - Contract laboratories will follow document control procedures to
assure all documents including but not limited to logbooks, chain-of-custody
records, sample work sheets, sample run logs, instrument raw data, bench sheets,
sample preparation records, and data deliverable reports are prepared.
Sample Data Reports - Contract laboratories will complete and submit data
summaries (spreadsheets) hard copy and electronic copy. Laboratory MDLs for
each parameter are required with these reports, calculated according to 40 CFR
Part 136, Appendix B, or other approved method.
QC Data Reports - Along with sample results from each batch of environmental
samples, the contract laboratories will submit results of all field generated QC
samples including equipment blanks, field duplicates (colocated samples), and
field blanks. Contract laboratories will compile and submit QC data for these
sample types. The laboratory will also compile and submit results of laboratory
QC samples for replicates and spikes including the parameter and matrix.
Relative percent difference (RPD) for duplicates or relative standard deviation
(RSD) will be required for precision evaluation utilizing laboratory split samples.
Percent recovery (%R) or percent difference (PD) for standard reference materials
(SRMs) will be required for accuracy evaluation.
Data entry - The analytical laboratories or FTN Associates will enter data
following standard procedures for manual entry. Accuracy of transcription for the
data will be checked by\ another person. Data plots and descriptive statistics will
be used to screen accuracy of data entry where historical data exist.
D-3
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July 31,2000
Specific QA/QC criteria for validation and verification of data associated with the project
include the following, these analytical data will be available for inspection as necessary.
Documentation packages for data submittals.
Narrative description of the data report packages (including range of samples
analyzed, analytical methods, sample holding times summary, descriptions of
problems encountered, and explanation for any QA/QC samples that do fall
outside project acceptance criteria - see Attachment 2 for Laboratory Acceptance
criteria for project parameters); applicable comments relating to sample integrity
or data quality.
• Chain-of-custody documentation and summary (including completed forms that
match all data submitted with package).
Summary of results (including data tables and statement regarding achievement of
MDLs specified in the project statement of work-Attachment 1).
• Field and/or laboratory data for approximately 10 percent of analyses of "critical"
parameters for the batch (Critical parameters for each media are listed in
Table Bl). This includes
Sample log in documentation.
Manual calculations including raw data, formulae utilized, any conversion
constants, and an example calculation. Verification of one of each type of
calculation will be necessary.
Instrument printouts, bench sheets, digestion worksheets, sample
preparation logs, and other sample analysis and preparation
documentation/calculations.
Sample date and times of collection, digestion, and analysis along with
sample volumes and digestion volume (as appropriate).
QC Sample Documentation
Instrument calibration documentation - An instrument calibration curve
will be prepared at minimum at the beginning of each day of analysis
utilizing at least three standards plus one blank (four standards and one
blank for methylmercury).
D-4
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July 31,2000
Laboratory Method Blanks - A laboratory method blank will be analyzed
at the start of each analytical batch.
Internal calibration data (initial and CCV-continuing calibration
verification data) - Documentation of initial calibration and mid-level
CCV at the first of each batch and one per 10 samples analyzed. CCV will
be prepared from standard reference material from source(s) which attest
to the concentration of the standard source.
• QC Sample Data - for each batch of 20 samples or fewer, the analytical laboratory
will provide data for the following QC samples:
One laboratory method blank that will be included with every step in the
analytical procedure.
One laboratory replicate.
One matrix spike - For water, the matrix spike will be designed to result in
a sample analysis concentration that does not exceed 2 times the PQL or 2
times the expected sample concentration, whichever is larger. For solids,
the matrix spike will be designed to result in a sample analysis
concentration that does not exceed 2 times the unspiked sample.
One SRM for the matrix in an appropriate concentration that will not
exceed the concentration of the most concentrated standard.
Data will be available for inspection.
D2 VALIDATION METHODS
Validation methods to assess the following general QA/QC requirements for the project
are presented in this section. Any nonconformance issues for this section will result in
implementation of corrective actions to address the issue, documentation of the corrective action,
and a preparation of narrative description to describe potential impacts to data quality due to the
problem.
• Conformance of field sampling activities to the Phase n REMAP (September
1998) Statement of Work (Attachment 1) and sample/data management protocols
described in SERP's Comprehensive QA Plans (Attachment 6) verified by
D-5
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July 31,2000
conducting on-site field and laboratory PE audits during either the wet or dry
season sampling period.
• QA program and written QA plan preparation and acceptance - validated during
pre-sampling review by EPA Region IV SESD OQA.
Compliance with the EPA approved laboratory QA plans will be validated by
(1) performing an on-site laboratory audit during either the wet or dry season
sampling/analysis activities and (2) on-going review of data deliverable packages
submitted with analytical results packages. Verification of supporting functions
such as sample custody, reagent and standards preparation, sample preparation,
equipment and container cleaning, calibration, etc. will also be performed via
on-site PE audit of the analytical laboratory.
Appropriateness of sample containers, blank water, and equipment will be
validated by analysis of blanks (field and equipment) during the project as well as
review of laboratory operations during a PE audit described above. Successful
performance for blank usage and analysis is defined as no differences (<3 times
the MDL) in analytical results between blanks and source water utilized for
preparation of blanks.
• Sample custody and tracking conformance will be validated by review of
documentation submitted with data report packages as well as by direct
observance during a PE audit described above. Conformance to this requirement
will be met with custody documented for all samples. Non-conformance may
result in limiting the usability of the data.
• Preparation and storage of appropriate project documentation will be validated by
means of reviewing data deliverable report packages and on-site PE audits.
Completeness and accuracy of reports will be validated by reviewing and
verifying data entry QA/QC results and during data analysis and outlier
identification.
Specific QA/QC targets and validation methods of data associated with the project
include:
• Documentation packages for data submittals - validation by verifying necessary
components included with each package submitted to FTN Associates.
Recalculation of approximately 10% of the test results for critical parameters for
each analytical batch, parameter group, and matrix as applicable.
D-6
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July 31,2000
QC Sample Documentation
Initial instrument calibration documentation - A correlation coefficient of
0.995 or better using least squares fit unless the approved calibration
method permits verification of the initial calibration using fewer standards.
Documentation of low and mid-range CCV checks at the first of and
during analyses will be required as well as one SRM. The laboratories will
maintain this documentation.
Laboratory Method Blanks - If the difference between results from the
laboratory method blank and the source water used to prepare the blank
exceeds the action limit of >3 times the MDL, documentation of corrective
actions taken to reduce it to below the action limit prior to any analysis.
Documentation of such corrective actions will be prepared and maintained
at each Project Laboratory.
Internal calibration data (continuing calibration verification data) - If
results differ by >15% from the known value or the initial check,
whichever is appropriate, the laboratory will take corrective action(s) to
reduce the difference to below 15% and document the problem and
action(s) taken. Any samples analyzed after the last passing CCV and
prior to the failing CCV will be reanalyzed after corrective action(s) are
taken and a passing CCV is analyzed.
QC Samples
Laboratory Method Blank - Difference between blank results and source
water must be <3 times the MDL. Action to determine the cause of the
contaminant, correct the problem, and document such actions must be
taken and documented when results are >3 times the MDL.
Equipment (field) Blank - Differences between blank results and the
source water >3 times the MDL will result in the samples collected with
the field equipment used to produce the blank on the same day of sampling
to be qualified to alert data users to potential cleaning or sampling
problems.
Replicated Samples - Where replicates producing two samples from one
are performed by the lab, precision (RPD) within limits presented in
Table A1A of the project DQO document (Attachment 2), or within 20%
of laboratory replicate samples for parameters not named in Table A1A.
These criteria relate to analytes >5 times the MDL.
D-7
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July 31,2000
Replicated Samples - Where triplicates or more are performed by the lab,
RSD (coefficient of variation) must fall within limits presented in
Table A1A of the project DQO Document (Attachment 2) or within 20%
for parameters not named in Table Al A. These criteria apply to analytes
>5 times the MDL.
Replicated Samples - Where samples are "split" in the field, RPD should
be <20%. Field split samples with RPDs >20% will be qualified to alert
data users to potential sampling problems. These criteria apply to analytes
>5 times the MDL.
Colocated Samples - If RPDs are greater than precision guidelines in
Table Al A, these data will be qualified only to alert data users to potential
sampling variability. These guidelines were based on Phase I colocated
sample results. These criteria apply to analytes >5 times the MDL.
Laboratory Standards and CCV - Percent difference from initial calibration
check should be < 15%.
Matrix Spikes - Percent recovery (%R) for matrix spikes should fall within
the range of 75 to 125% of the spiked concentration for all media.
However, matrix spike recovery outside this range will not by itself result
in a "reject" qualifier. Rather, the data will be qualified as having a matrix
effect to alert data users.
SRMs, Blank Spikes, PE Samples - Accuracy as %R and precision of
replicates as RPD or RSD for those samples must meet Project DQO
requirements (Table Al A, Attachment 2).
All reported data will be validated according to Section D of this QAPP. When
reporting data to EPA, the following data qualifiers are anticipated for use with
this project:
"U" Analyte not detected at or above the MDL.
cc T"
Concentration reported should be considered an estimate. The
data are acceptable for use as determined by specific data users
but certain QC criteria were not met; e.g.,
data were above or below appropriate linear calibration
range,
holding times were exceeded,
- certain QC documentation was not prepared as required or
D-8
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July 31,2000
- the analyte was detected below the MDL
"A" Analyte was analyzed as a replicate and the value reprinted is
the mean of the replicates.
"Reject" Batch QC data did not meet DQO required accuracy/precision
criteria required to allow use as stated.
"M" Analyte exhibits potential matrix effect based on matrix spike
recovery outside of 75 to 125% range. Data are usable.
"D" Analyte concentration reported as the result of a secondary
dilution. Discrepancies between two runs may be due to
dilution errors. Data are usable provided other criteria are met.
"B" Analyte concentration in the associated blank was >3 times the
MDL.
D3 RECONCILIATION WITH DATA QUALITY OBJECTIVES
The purpose of element D3 is to outline and specify, if possible, the acceptable methods
for evaluating the results obtained from the project. This element includes scientific and
statistical evaluations of data to determine if the data are of the right type, quantity, and quality to
support their intended use.
D3.1 Reconciling Results with DQOs
There will be two phases of reconciliation of the results with the DQOs. In Phase I,
statistical analyses will be performed to compare computed estimates (recovery, precision, PE
sample variance, etc.) with DQOs specified in this QAPP. This information will be provided to
the Project Manager and QA Officer. In Phase II, the user will determine if the data results meet
their needs and objectives. Phase n supersedes any and all Phase IQA/QC analyses and results
because the purpose of any QA/QC program is to provide information of known quality so that
the user can determine if the data meets their needs and objectives.
D-9
-------
July 31,2000
REFERENCES
1. Battelle Marine Sciences Laboratory. May 4, 1998. Quality Assurance Management Plan
(QAMP) Volume 1.
2. Battelle Marine Sciences Laboratory. May 4, 1998. Quality Assurance Management
Plan (QAMP), Marine Chemistry and Ocean Processes Group, Volume 2.
3. Battelle Marine Sciences Laboratory. Cover Letter January 6, 1999. Battelle Standard
Operating Procedures for Mercury Speciation.
4. Environmental Services Assistance Teams (ESAT). March 12, 1996. Standard Operating
Procedures for Sampling Water, Sediment and Biota in Expansive Wetlands. SOP
XXXII, Revision No. 1. Prepared by Biological Assessment Team, ManTech
Environmental Technology, Inc. for USEPA Region 4. Contract No. 68-D6-0004, DCN
ESAT-4B-6000.
5. Southeast Environmental Research Program. November 25, 1998. Comprehensive
Quality Assurance Plan. Prepared by and for Southeast Environmental Research
Program, Florida International University. OE 148, University Park, Miami, FL 33199.
6. USEPA. October 1997. EPA Requirements for Quality Assurance Project Plans for
Environmental Data Operations - EPA QA/R-5. Draft Final - Electronic Version.
USEPA. Washington, DC 20460.
7. USEPA. December 1, 1997. Analytical Support Branch Operations and Quality Control
Manual. USEPA, Science and Ecosystems Support Division, Region 4. 980 College
Station Rd., Athens, GA 30605.
8. USEPA. September 1998. Investigation of Mercury Contamination in the Everglades
Ecosystem and Everglades Ecosystem Assessment (Phase II REMAP) Statement of
Work. USEPA
9. USEPA. May 1996. Standard Operating Procedures and Quality Assurance Manual
(EISOPQAM). USEPA Science and Ecosystems Support Division, Region 4. 980
College Station Rd., Athens, GA 30605.
10. Unites States Government Printing Office. July 1, 1998. Code of Federal Regulations
(CFR) Title 40: Protection of the Environment. Part 136 - Guidelines Establishing Test
Procedures for the Analysis of Pollutants.
E-l
-------
Attachment 1
Phase II REMAP Statement of Work
-------
Investigation of Mercury Contamination in the Everglades Ecosystem
and
Everglades Ecosystem Assessment (Phase II REMAP)
Statement of Work
for
USEPA/USNPS IAG
September 1998
Introduction
The interim assessment (Stober et al. 1996) and the results of the final technical assessment
for Phase I (USEPA 1998) indicate the importance of hydropattern, nutrient, habitat, vegetation
and food web information for ecosystem management and restoration efforts. Continued
monitoring of water, soil/sediment, periphyton, and fish is critical both for better understanding
of mercury cycling in the ecosystem and to evaluate the effectiveness of ecosystem restoration
activities and natural hydropattern changes which are occurring over time. This work is an
extension of the USEPA REMAP research and monitoring conducted from 1993-96 and is
consistent with the objectives of the South Florida Mercury Science Program (SFMSP) and the
Everglades restoration activities. The studies in Phase II are designed to fill existing data gaps in
the ecological baseline assessment (habitat assessment), initiate trend monitoring, provide
additional input for models of mercury cycling, landscape, and water management and to
determine systemwide responses to management actions.
Objectives
The USEPA South Florida ecosystem assessment project is an innovative, large-scale
monitoring and assessment program designed to measure the current and changing conditions of
ecological resources in South Florida using an integrated, holistic approach. The ultimate goal of
this program is to provide decision makers with sound ecological data to improve environmental
management decisions on multiple environmental issues and restoration efforts in the
Everglades. The South Florida ecosystem assessment project provides a foundation for
addressing the multiple issues that are critical to the restoration of the Everglades ecosystem and
contributing to the Interagency Task Force on Ecosystem Restoration efforts. The South Florida
ecosystem assessment project uses the EPA ecological risk assessment framework (USEPA
1992) as a foundation for providing decision makers with critical information. The program is
guided by seven policy relevant assessment questions:
1) Magnitude - What is the magnitude of the problem(s) in the Everglades?
2) Extent - What is the extent of the problem(s)?
3) Trend - Is the problem(s) getting better, worse, or staying the same?
4) Cause - What factors are associated with or causing the problem(s)?
5) Source - What are the sources contributing to the causes and what is the
importance of different sources to the problem(s)?
6) Risk - What are the risks to different ecological systems and species from
the stressors of factors causing the problem(s)?
7) Solutions - What management alternatives are available to ameliorate or
-------
eliminate the problem(s)?
The seven questions listed are equally applicable to each issue impacting the Everglades
ecosystem, such as, hydropattern modification, Hg contamination, eutrophication, habitat
alteration, and endangered and exotic species.
The USEPA South Florida ecosystem assessment project is a long-term research,
monitoring and assessment program. Initial conceptual models and testable hypotheses have
been developed. A number of studies will be required to test all of the hypotheses and to refine
the conceptual models and complete the ecological risk assessment in the Everglades. Initially,
the South Florida ecosystem assessment project has focused on a subset of hypotheses which are
directly related to the first four policy-relevant assessment questions identified above. Additional
coordinated studies directed at addressing other high priority elements of the interagency
program will be conducted and merged with this program.
Multiagency Ecosystem Restoration Efforts
A series of efforts by many agencies are underway to protect and restore the Everglades
ecosystem. In 1994, the Florida Governor established the Governor's Commission for a
Sustainable South Florida to make recommendations for achieving a healthy Everglades
ecosystem that can coexist with and be mutually supportive of a sustainable South Florida
economy and quality communities. This Commission has adopted five guiding principles (1)
restore key ecosystems, (2) achieve a cleaner environment, (3) limit urban sprawl, (4) protect
wildlife and natural areas, and (5) create quality communities and jobs. The Commission has
also concluded that, on its present course, South Florida is not sustainable (Governor's
Commission for a Sustainable South Florida 1995). The US Army Corps of Engineers (USAGE)
is currently conducting a restudy of the Central and Southern Florida Project to evaluate the
feasibility of structural or operational modifications to the project, and identify those
modifications that are essential to restoration of the Everglades and Florida Bay ecosystems
while providing for other water-related needs (USAGE 1994). The federal Water Resources
Development Act of 1996 established the South Florida Ecosystem Restoration Task Force,
composed of representatives of federal agencies, state agencies, Indian Tribes and local
governments, to coordinate the development of consistent strategies for restoration, protection
and preservation of the South Florida ecosystem (US Congress 1996). The Science Subgroup of
this Task Force has developed integrated scientific information needs for the ecosystem
restoration effort (Science Subgroup 1996) along with success criteria for South Florida
ecosystem restoration (Science Subgroup 1997). In addition, the State of Florida has many other
ecosystem restoration efforts underway (SFWMD 1997a) including a comprehensive plan to
address Everglades eutrophication through land acquisition, construction projects, research, and
regulation, as required by Florida's 1994 Everglades Forever Act (SFWMD 1997b). Phase I of
the phosphorus control program is using a combination of agricultural best management practices
and 174 km2 (43,000 acres) of constructed wetlands (i.e., stormwater treatment areas) to achieve
phosphorus removal. The goal of Phase I of the phosphorus control program is to decrease total
phosphorus (TP) concentrations in the water discharged to the public Everglades to at least 50
ug/L.
Many other federal and state agencies and universities, including the US Environmental
-------
Protection Agency (USEPA), the US Geological Survey (USGS), US National Park Service
(NFS), Florida Department of Environmental Protection (FDEP), and South Florida Water
Management District (SFWMD), US Army Corps of Engineers (USAGE), Loxahatchee National
Wildlife Refuge (LNWR), Florida Game and Freshwater Fish Commission (FGFFC), Indian
Tribes, and Industry currently are conducting monitoring, modeling or restoration programs
within the Florida Everglades to evaluate the condition of Everglades resources and restoration
alternatives. The research and monitoring by USEPA is unique in its system-wide multi-media
survey sampling design.
Project Participants: The principals actively involved in this team effort include Dr. Jerry
Stober, Project Manager, USEPA, Region 4, SESD, EAB, Athens, Ga.; Dan Scheldt, South
Florida Coordinator, USEPA, Region 4, Water Management Division, Athens, Ga.; Dr. Ron
Jones, Director, Florida International University, Southeast Environmental Research Program,
Miami, Fl; Drs. Kent Thornton and Lisa Gandy, FTN Associates, Ltd, Little Rock, AR; Dr. Don
Stevens, Dynamac, Inc., Corvallis, OR; Joel Trexler, Florida International University, Southeast
Environmental Research Program, Miami, Fl; Dr. Roy Welch, University of Georgia, Center for
Remote Sensing & Mapping Science, Athen, Ga; Steve Rathbun, University of Georgia,
Statistics, Athens, Ga; Bob Ambrose, Dr. Craig Barber and Dr. Rochelle Araujo, USEPA,
NERL-Athens, Ga.; Brenda Lasorsa, Battelle Marine Science Laboratory, Sequim, WA; Dr.
Carol Kendall, USGS, Menlo Park, CA; Mike Birch, USEPA, SESD, OQA, Athens, Ga.; Jenny
Scifres, USEPA, SESD, ASB, Athens, Ga.
Project Responsibilities: A USEPA Region 4 SESD EAB senior scientist will be responsible
for overall project management. An EAB sampling team will be responsible for the pilot study
and synoptic field sampling during the dry season (April) and wet season (September). A three
laboratory design including FIU-SERP as the primary analytical laboratory with Battelle MSL
and EPA SESD ASB as two secondary laboratories will be used. Distribution of the analytical
work load among the three laboratories is required for QA/QC intercomparisons and to
physically complete the analyses within the required holding times for the large volume of
samples generated during 8-9 days of sampling alotted for each cycle. In addition, utilization of
the same analytical laboratories which developed the methodologies and produced the REMAP
Phase I baseline results will ensure continuity of the database enhancing the ability to detect
change over time. Region 4 SESD OQA will have final responsibility for the QA/QC
evaluations of the laboratories, however, FTN Associates will be used to conduct the initial
reviews of the data. SESD EAB will be responsible for database management, data analysis,
interpretation, and presentation with support from FTN Associates, FIU-SERP, UGA-Statistics,
and ORD-EMAP.
Projected Timeline- Three field events are planned including a pilot study (methods
development and interlaboratory calibration) in January 1999, a dry season survey in April 1999
and a wet season survey in September 1999.
Milestones and Products in FY99-00
-------
September 1998-Peer Reviews ORD EMAP and Science Coordination Team of the South
Florida Ecosystem Restoration Task Force
October 1998-Initiate Aerial Photo Habitat Assessment with CRMS at UGA and design
detailed pilot study.
November 1998-Design and build Sampling Devices to Be Tested in Pilot Study
January 1999-Conduct pilot study testing field and analytical methods in the Everglades
February 1999-Evaluate Interlaboratory Calibration and Pilot study results.
March 1999-Develop final field and laboratory protocols. Report habitat sampling results
in peer review journal. Train crew and prepare for the Spatial REMAP sampling
April 1999-Conduct Dry Season Sampling
August 1999-Complete Dry Cycle Sample Analyses
September 1999-Conduct Wet Season Sampling
January 2000-Complete Wet Cycle Sample Analyses
June 2000-Bring data analysis to conclusion with a final report
Task 1. University of Georgia, Center for Remote Sensing and Mapping Science (CRMS)
Aerial Photo Habitat Assessment (Roy Welch): A Phase I probability assessment of habitat
was conducted by visually determining the major habitat types at each sampling location and
documenting the sites with 35 mm photographs. These procedures permitted qualitative
estimates of presence and dominance of selected emergent plant species and floating periphyton
at each site. However, quantitative estimates are needed in Phase n to provide plant biomass and
mercury concentrations for input to Everglades mercury cycling models. Estimates of plant
biomass along the system are also needed to document baseline responses to the nutrient
gradient. The Center for Remote Sensing and Mapping Science (CRMS) at the University of
Georgia is developing detailed vegetation maps and digital databases for the Federal park lands
in south Florida using aerial photo intrepretation techniques. These techniques will be applied in
this study, however, they will be adapted to the USEPA probability sampling design used for
assessment and monitoring of the Everglades ecosystem. CRMS has the necessary experience
and tools to accomplish this task in a minimum time frame while ensuring systemwide data
comparability. The steps involved in building the vegetation database for the random sample
points are listed below.
A. CRMS will obtain U.S. Geological Survey (USGS) National Aerial Photography
Program (NAPP) color infrared aerial photo transparancies for the study area (WCA-1,2,3, ENP
-------
and Rottenberger).
B. USEPA will provide CRMS with the UTM map coordinates (NAD 83) for the
approximately 260 random sample points to be used in the survey. Map interpretation will be
conducted in the following order to facilitate the pilot study (January 1999), dry season survey
(April 1999) and the wet season survey (September 1999).
1. Pilot study - six points
2. Dry season survey - 130 points
3. Wet season survey - 130 points
The pilot study and each survey will have a unique set of randomized spatially distributed
sampling points which will be identified with a unique numbering system. The survey points
will be ordered by latitude from north to south.
The aerial photo interpretation will provide the detailed information for each site on
which the field sampling will be based, therefore completion of the digitized habitat maps must
preceed the field sampling by atleast two months.
C. The CRMS will plot the sample site locations on the NAPP color infrared aerial
photographs, interpret the vegetation density of all plant species or communities which can be
identified consistently from the photographs. While particular attention will be focused on
sawgrass, cattails and/or periphyton at each location with subsequent biomass sampling by
USEPA, interpretation of the photos to evaluate all plant species/communities which can be
consistently identified in the photos for changes in presence/absence, abundance and/or density
will maximize the information generated. Interpretation will focus on 1 x 1 km square plots
centered at the GPS coordinates for each sample point. A vegetation map in digital format will
be prepared for each 1x1 km plot.
D. The pilot study digital vegetation maps will be provided to ORD EMAP (Corvallis)
for development of an algorithm to weight (to the center point) the selection of random sampling
points for plant species biomass determination. This will be tested on the six pilot study stations.
Following development of the algorithm it will be tested on the dry season survey points to
evaluate the logistical requirements of the systemwide sampling effort. With development of the
final working algorithm it will be provided to CRMS for point location on the remaining digital
vegetation maps.
E. The USEPA Region 4 field sampling team will load each site map with associated
plant type polygons into Field Notes on a laptop and the field sampling crew will ground truth
the plant type communities. CRMS experts will assist EPA habitat assessment teams in the
appropriate field observations most appropriate to air photo interpretation and accompany the
habitat assessment team during the pilot study.
F. CRMS will provide USEPA Region 4 with spreadsheets of the surface areas of each
plant species or community type identified from the aerial photo interpretation for each station to
which EPA will add the sample biomass estimates. CRMS will also undertake spatial
interpolations of the station point data to establish variations or trends in plant distributions and
-------
to provide a basis for future comparisons.
G. A final report of this work will be provided to USEPA Region 4 Project Leader by
December 31, 1999.
Task 2. University of Georgia, Statistics (Steve Rathbun): General statistical support to this
study will be provided on an as need basis during the analysis of the data. Numerous
opportunities exist to develop both design- and model-based statistical analyses, requiring the
development of new statistical methods. Design based analyses require methods for assessing
the uncertainty of statistical summaries such as provided by cumulative distribution functions. In
addition, methods are required for evaluating the current sampling designs to ensure that
adequate power is achieved to answer the objectives of the respective monitoring initiatives.
Model based analyses require the development of models that mimic the complex processes that
occur in nature. Environmental processes are complex, involving interactions of numerous biotic
and abiotic factors over different spatial and temporal scales.
The specific objectives of the required research are as follows:
A. Develop spatio-temporal models for the data from the Everglades ecosystem. These
models shall take into consideration processes occurring at all spatial and temporal scales
including habitat, mercury and water quality indicators.
B. Develop methods for combining data collected at different spatial and temporal scales
and trophic levels.
C. Develop methods required for analyzing spatially and temporally correlated data when
some observations are left-censored by the detection limits of instruments used to measure
contaminants.
Task 3. Florida International University (FIU), Southeast Environmental Research
Program (SERF). This task will utilize the three laboratories (FIU-SERP, Battelle MSL and
EPA-SESD) involved in Phase I to analyze the comprehensive array of samples of water, soil,
and tissue (plants and fish) and to conduct the routine QA/QC requirements.
A. Primary Analytical Laboratory (Ron Jones): FIU-SERP (only laboratory
addressed in this IAG) will be the primary analytical laboratory for this project and the facility
from which the USEPA field sampling team will stage field activities. The methods previously
developed by FIU-SERP for Phase I will be utilized in Phase II to maintain continuity of results.
FIU-SERP will assist USEPA in the testing and development of new field sampling and
analytical methods during the pilot study in January 1999. New methods for phase II include
development of porewater sampling, dissolved nutrients and selected anions, sulfate/sulfide
ratios, diatom species composition and periphyton pigment analyses and macrophyte mercury
analyses. All sampling and analyses to be carried out during the next cycles of the study will be
tested and proven during the pilot study. The pilot study analytes will include HgT, MeHg, TP,
TN, dissolved nutrients (NH4, NO2, NO3, PO4), TOC, sulfate, sulfide in surface water; TP, TN,
dissolved nutrients, selected anions (Br, Cl, F, NO2, NO3, O-p, SO4), sulfide in porewater; HgT,
MeHg, sulfate, sulfide, TP, CH4 and CO2 in soil; HgT, MeHg and EtHg in floating and soil
periphyton; HgT, MeHg, and EtHg in sawgrass and cattails; and HgT in mosquitofish. All of the
-------
media will be composited and split with equal amounts of water, soil or tissue going to each
laboratory. The mosquitofish will be analyzed two ways as individual fish (7 per sample) as well
as a homogenate for QA/QC purposes. Each laboratory will analyze three replicates of each
sample for each station to provide a statistically valid data set on which to conduct an analysis of
the interlaboratory calibration. USEPA SESD EAB field sampling team will be responsible for
"clean" sample collection, splits will be conducted in the FIU-SERP laboratory and the
EPA/ES AT field team will be responsible for ensuring chain of custody, sample tracking,
shipping of blind, split, duplicate and replicate samples to each laboratory. The data will be
returned to FTN Associates who will be responsible for statistical analysis of the data and report
preparation and presentation to EPA Region 4 SESD OQA for final review to ensure the QA/QC
requirements have been fullfilled.
FIU-SERP will assist USEPA in the development of a biomass sampling method for
macrophytes which is quantitative, efficient and practically deployed from a helicopter. The pilot
study will determine the wet/dry ratios of various volumes of biomass from 0.1, 0.5 and 1.0 m2
clip plots. An effort will be made to determine if this large volume of biomass can be weighed in
the field thus optimizing logistics.
Phase I floating and soil periphyton samples were collected at each station when present
for mercury analyses, however, biomass was not measured. FIU-SERP will assist EPA in phase
II methods development which will include quantitative biomass estimates of soil, epiphytic and
floating periphyton. Each type of periphyton will be collected from a known surface area (i.e.,
surface of soil cores for soil periphyton; standard grid for floating and epiphytic periphyton) and
placed into a volumetric cylinder to estimate volume. Periphyton samples will continue to be
collected for analysis of total, methyl- and ethyl-mercury, diatom species composition and
pigments which will be the responsibility of FIU-SERP.
Following the pilot study a standard protocol will be developed which optimizes the
biomass estimation methods. These protocols will be presented in a report for peer review by
EPA Region 4 SESD. The protocol will subsequently be validated during each sampling cycle
with spatially distributed duplicates from 10% of the sampling stations.
Mosquitofish sampling sites are spatially distributed across the marsh at the same
randomly selected water quality monitoring sites. Seven individual fish will be analyzed for total
mercury concentration at each site which will allow detection of a 10% change in mercury
concentrations (among vs within sites) across the system.
A list of the pilot study (interlaboratory calibration) samples indicating the analyte,
subarea, laboratory analyzing and the number of samples to be analyzed by each laboratory is
presented in Table 1. A complete list of the analytical parameters by laboratory, MDL, and
number of samples to be analyzed per cycle are listed in Table 2.
Mosquitofish Food Habits Analysis (Joel Trexler): A strong north to south gradient in the
bioaccumulation factor calculated for mercury uptake in mosquitofish was found during Phase I
research and monitoring of the Everglades ecosystem. This discovery indicates a series of
important interactions are occurring in the system primarily affected by phosphorus loading from
the north which impacts the food chain dynamics in the system. One means of assessing these
impacts is to analyze the food habits of the omnivorous mosquitofish across the system. This
-------
was done once during the September 1996 marsh survey and will be repeated again in the pilot
study, and both dry and wet sampling cycles in 1999. Twelve individual fish will be analyzed at
each site for stomach contents. These data will be used in a comparative study with the 1996
food habits analysis to develop an understanding of how changes in the food chain may affect the
habits and uptake of this ubiquitous fish species across the system.
Table 1. Everglades Jan '98 Pilot Study and Laboratory Intercalibration (triplicate
analysis)
Sites
Parameter
Surf-
Water
Turbidity
Alk-Phosp
HgT
MeHg
TP
TN
Diss. Nut-
NH4,NO2,
NO3, PO4
TOC
SO4
H2S
Porewater
TP
TN
Diss.Nut-
NH4,NO2,
NO3,PO4
Selected
Anions
LOX
1,3
1
1,2
1,2,
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
AA-N
1,3
1
1,2
1,2
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
WCA3-C
1,3
1
1,2
1,2
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
WCA3-S
1,3
1
1,2
1,2
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
ENP-N
1,3
1
1,2
1,2
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
ENP-S
1,3
1
1,2
1,2
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,3
1,
-------
SO4
H2S
Soil
HgT
MeHg
SO4
H2S
Alk-Phos
AFDW
Bulk Den.
Min. Cone.
TP
CH4&CO2
Peri-F
HgT
MeHg
EtHg
Diatom
comp.
Pigment
Peri-S
HgT
MeHg
EtHg
Diatom
Comp.
Pigment
1,3
1,3
1,2,3
1,2
1,3
1,3
1
1
1
1
1,3
1,3
1,2,3
1,2
1
1
1,3
1,2,3
1,2
1
1
1
1,3
1,3
1,2,3
1,2
1,3
1,3
1
1
1
1
1,3
1,3
1,2,3
1,2
1
1
1,3
1,2,3
1,2
1
1
1
1,3
1,3
1,2,3
1,2
1,3
1,3
1
1
1
1
1,3
1,3
1,2,3
1,2
1
1
1,3
1,2,3
1,2
1
1
1
1,3
1,3
1,2,3
1,2
1,3
1,3
1
1
1
1
1,3
1,3
1,2,3
1,2
1
1
1,3
1,2,3
1,2
1
1
1
1,3
1,3
1,2,3
1,2
1,3
1,3
1
1
1
1
1,3
1,3
1,2,3
1,2
1
1
1,3
1,2,3
1,2
1
1
1
1,3
1,3
1,2,3
1,2
1,3
1,3
1
1
1
1
1,3
1,3
1,2,3
1,2
1
1
1,3
1,2,3
1,2
1
1
1
-------
Sawgrass
HgT
MeHg
EtHg
Cattails
HgT
MeHg
EtHg
Fish
HgT-indiv.
HgT-homo
1,2,3
1,2
1
1,2,3
1,2
1
1,2,3
1,2,3
1,2,3
1,2
1
1,2,3
1,2
1
1,2,3
1,2,3
1,2,3
1,2
1
1,2,3
1,2
1
1,2,3
1,2,3
1,2,3
1,2
1
1,2,3
1,2
1
1,2,3
1,2,3
1,2,3
1,2
1
1,2,3
1,2
1
1,2,3
1,2,3
1,2,3
1,2
1
1,2,3
1,2
1
1,2,3
1,2,3
1-FIU-SERP; 2-BATTELLE; 3-EPA-SESD
10
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Table 2. Analytical Parameters by laboratory, MDL, and sample number for each
sampling cycle. Revised August 6,1998
PARAMETER
SURFACE
WATER
DO
pH
Temp
Conductance
Redox
Depth
Turbidity
Total Phosphorus
Total Nitrogen
Dissolved
Nutrients*
(NH4,NO2,
NO3, PO4)
Total Organic
Carbon
Sulfate
Sulfide*
Alk_Phos
Chlorophyll a
Total Mercury
Methyl Mercury
PORE WATER
Total
Phosphorus*
PRIMARY
LAB
SESD
SESD
SESD
SESD
SESD
SESD
FIU
FIU
FIU
FIU
FIU
SESD
SESD
FIU
FIU
FIU
Battelle
FIU
PRIMARY
QA/QC
SESD-SOP
SESD-SOP
SESD-SOP
SESD-SOP
SESD-SOP
SESD-SOP
SESD
SESD
SESD
SESD
SESD
SESD
SESD
FIU
FIU
Battelle
FIU
SESD
SECON
D-ARY
QA/QC
SESD
MDL
0.2 mg/L
0.1 s.u.
0.15 C
1.0 uS
ImV
1 cm
0.1 NTU
0.6 ug/L
0.03 mg/L
NO3-0.4ug/L
NO2-0.1ug/L
NH4-0.7ug/L
SRP-0.3ug/L
0.12 ug/L
0.01 mg/L
0.01 ug/L
O.OluM/h
0.1 ug/L
0.3 ng/L
0.02 ng/L
0.6 ug/L
Site No.
per
cycle
129
129
129
129
129
129
129
129
129
129
129
129
129
129
30
129
129
129
Samp.
No.
129
129
129
129
129
129
155
155
155
155
155
155
155
155
33
187
187
171
11
-------
Total Nitrogen*
Dissolved
Nutrients* (NH4,
NO2, NO3, PO4)
Anions*
(Br,Cl,Fl,NO2,N
O3,O-p,SO4)
Sulfate
Sulfide*
SOIL/SEDIME
NT
Type
Thickness
pH
Redox (in situ)
Redox (lab)*
Total Mercury
Methyl Mercury
Ethyl Mercury
Sulfate
Sulfide*
Total Phosphorus
Ash Free Dry Wt
Bulk Density
Mineral Content
CH4*
CO2*
Alk_Phos
FIU
FIU
FIU
SESD
SESD
SESD
SESD
SESD
SESD
SESD
SESD
FIU
FIU
SESD
FIU
FIU
FIU
FIU
FIU
FIU
FIU
FIU
SESD
SESD
SESD
SESD
FIU
Battelle
SESD
SESD
SESD
FIU
Battelle
0.03 mg/L
NO3-0.4ug/L
NO2-0.1ug/L
NH4-0.7ug/L
SRP-0.3ug/L
ion chrom.
0.01 mg/L
0.01 ug/L
1 cm
ImV
ImV
3 ug/kg
0.2 ug/kg
0.2 ug/kg
0.01 ug/kg
0.01 ug/kg
0.06mg/kg**
0.02mg/kg**
0.001 g/cc**
3%
129
129
129
129
129
129
129
129
129
129
129
129
129
129
129
129
129
129
129
129
129
129
155
155
155
171
171
129
129
129
129
129
155
155
155
155
155
155
155
155
155
155
155
155
12
-------
PERIPHYTON-
-floating
Total Mercury
Methyl Mercury
Ethyl Mercury
Biomass*
Surface Area*
(%cover)
Diatoms*
Pigments*
PERIPHYTON-
-soil
Total Mercury
Methyl Mercury
Ethyl Mercury
Biomass*
Diatoms*
Pigments*
SAWGRASS
Total Mercury*
Methyl
Mercury*
Ethyl Mercury*
Biomass*
Surface Area*
(% cover)
CATTAILS
Total Mercury*
Methyl
Mercury*
FIU
FIU
FIU
SESD
UGA
FIU
FIU
FIU
FIU
FIU
SESD
FIU
FIU
FIU
FIU
FIU
SESD
UGA
FIU
FIU
SESD
Battelle
SESD
Battelle
SESD
Battelle
SESD
Battelle
Battelle
Battelle
Battelle
Battelle
3ug/kg
0.2 ug/kg
0.2 ug/kg
lg
3 ug/kg
0.2 ug/kg
0.2 ug/kg
lg
3 ug/kg
0.2 ug/kg
0.2 ug/kg
10 g
3 ug/kg
0.2 ug/kg
100
100
100
100
50
30
30
100
100
100
100
30
30
65
65
65
65
65
40
40
110
110
110
110
33
33
110
110
110
110
33
33
72
72
72
72
44
44
13
-------
Ethyl Mercury*
Biomass*
Surface Area*
(% cover)
HABITAT
EVALUATION
* (% cover,
pres/absence)
MOSQUITO-
FISH
Total Mercury
Length
Weight
Sex
STABLE
ISOTOPE
ANALYSIS
FOOD HABITS
ANALYSIS
FIU
SESD
UGA
UGA
FIU
FIU
FIU
FIU
USGS
FIU
SESD
Battelle
0.2 ug/kg
10 g
1 ug/kg
0.1 mm
0.05 g
40
40
40
129
129
129
129
129
129
129
44
44
129
1043
993
993
993
993
993
*= new parameter
**= minimum reportable quantities
HgT in water = 129 sites, 16 field blanks, 13 duplicates, 16 equip, blanks, 13 splits = 187
Porewater (nutrients/anions) = 129 sites, 13 dups, 16 equip blanks, 13 splits =171
HgT in soil = 129 sites, 13 dups, 13 splits = 155
HgT in fish = 129 sites @ 7 fish/site = 903, 90 dups, 50 stand, tissue = 1,043
14
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B. QA/QC Requirements: Data package requirements for USEPA Region 4, Science and
Ecosystem Support Division (SESD).
1. Data Quality Requirements and Validation: In all data collection activities, data
quality requirements will be specified in five areas: accuracy and bias, precision, comparability,
completeness and representativeness (Stanley and Verner, 1985; Smith et al., 1988). Method detection
limits have been specified based on the phase I REMAP monitoring and some have been lowered where
lower detection levels are needed. The validation process will consider each of the following
components using a statistically appropriate method.
Accuracy and Bias: Accuracy is the degree to which a measured value or property
agrees with an accepted "true" value (Taylor 1988). Accuracy is estimated by measuring a sample with a
know reference value. Bias is the systematic error inherent in a method or caused by some artifact or
idiosyncrasy of the measurement system. One-way bias is estimated by interlaboratory comparison of
performance evaluation samples among laboratories.
Precision: Precision is a measure of the scatter among independent repeated
observations or measures of the same property made under prescribed conditions (Taylor 1988).
Precision can be estimated at several points in the data collection process in order to estimate the effects
of different sources of error. Precision can be partitioned into analytical and measurement system
precision. Analytical precision refers to precision of the analysis performed by analytical instruments; it
is estimated by laboratory replication, including replicates of performance audit samples. Measurement
system percision refers to the precision of the sampling process, including sample collection, storage,
transport, preparation and analysis. Collocated field duplicated are used to estimate precision of the
entire measurement system, and laboratory splits are used to estimate the precision of sample processing
after the sample has been received at the laboratory.
Precision and bias are estimates of random and systematic error in a measurement process
(Kirchner 1983, Hunt and Wilson 1986). Collectively, they provide an estimate of the total error or
uncertainty associated with an individual measurement, or set of measurements. Estimates of the various
error components will be determined primarily by replicate sampling. The statistical design and
sampling plan will minimize systematic errors in all components except measurement error by using
documented methodologies and standardized procedures. If new more sensitive methods must be
developed or analytical modifications made documentation will be provided as the process moves toward
standardization. In addition, standard samples will be included in the field and subjected to the entire
collection and measurement process. Variance components of the collection and measurement process
(e.g., among analytical laboratories) will be estimated after the pilot study and at the completion of each
cycle so the QA efforts can be allocated to control major sources of error.
Comparability: Comparability is defined as "the confidence with which one data set can
be compared to another" (Stanley and Verner 1985, Smith et al. 1988). Comparability studies will be
conducted with cooperating laboratories and agencies through round robin analyses. Identical field
collection and laboratory procedures will be used when possible.
Completeness: Completeness requirements for this monitoring effort will be that 90
percent of all proposed samples are collected and analyzed.
Representativeness: Representativeness is defined as "the degree to which the data
accurately and precisely represent a characteristic of a population parameter, a variation of a property, a
process characteristic, or an operation condition" (Stanley and Verner 1985, Smith et al., 1988). The
statistical survey, sampling periods and sample locations were selected to ensure representative samples.
Tolerable Background Levels: Background is operationally defined as the amount of
contamination due to collection, handling, processing and measurement. It is particularly relevant to the
15
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measurement of trace concentrations of mercury species. Background levels will not be tolerated due to
the use of "clean sampling and analytical techniques" and if detected the source will be isolated and
eliminated. Field and laboratory blank samples will be added to each day's samples and used to control
and eliminate background contamination.
Data Quality Objectives: The assessment of Data Quality Objectives will follow the
guidance provided in EPA QA/G-4 (EPA 1994) or a revision intended for research projects which is
currently under development. This assessment of the data will be compared after the pilot study and each
cycle of spatial sampling for comformance to the Phase I results. Deviations with Phase I results will be
investigated and the most probable explanation developed. The overall goal of maintaining consistency
in the database between Phase I and Phase II is most important to provide the most accurate basis for
trend assessments.
2. Specific Data Package Requirements: The specific requirements for laboratories which
submit results and data packages to the USEPA Region 4, SESD for validation are contained in the
attached document entitled "Laboratory Documentation and Quality Control Requirements for Data
Validation, August 1998. These requirements must be addressed in the laboratory's QA plan which
must be approved by the SESD Office of Quality Assurance prior to the initiation of sample analysis. All
data reported from each analytical laboratory for Phase II will be transmitted in electronic format
(variable by numeric station ID indicating analytical batch order and all other required QA information)
in either Excel, QuattroPro or dBase IV. Any additional format requirements will be specified by EPA
prior to initiation of the data collection. FTN will be the initial repository for the data who will compile
the database and conduct the initial QA/QC review of the data.
Task 4. QA/QC Data Review/Data Analysis/Comparative Ecological Risk Assessment/Final
Reports (FTN Assoc.-Kent Thornton)
A. Independent QA/QC Data Review: FTN will independently review the QA/QC data
forwarded from each of the three laboratories in Phase II of the Everglades Ecosystem Assessment
Project to verify adherence to stated QA objectives and criteria. DQO requirements will be met through
the following approaches:
1. Accuracy and Bias- Comparisons of performance evaluation samples will be
used to estimate accuracy and bias of the laboratory results. In addition to the
PE samples, internal standards developed by the laboratory will be used to assess
accuracy (bias) and matrix spikes will be evaluated to assess matrix interferences
with the analytical procedure.
2. Precision ~ Field and laboratory replicates (duplicate and split samples) will
be used to assess precision of the sampling and analytical methods. Replicates
of performance audit samples will be performed in addition to field samples.
Percent relative standard deviation estimates represent one of the statistics to be
calculated for precision.
3. Comparability - Comparability will be verified by using results of round
robin analyses among the analytical laboratories. Typically, standard methods
are used to assist with comparability, but there are no standard methods for
mercury and this is a program to develop and refine analytical methods.
4. Completeness ~ Completeness will be assessed by comparing the results of
the field sampling effort to the goal of having 90% of all proposed samples
collected and analyzed. This goal does not include sites where no samples can
be obtained because the site was dry or located on private land.
16
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5. Representativeness - Representativeness will be achieved by following the
statistical survey design which ensures probability samples will be collected. By
definition, a probability sample is representative of a specific, known proportion
of the population.
6. Tolerable background levels - Field and laboratory blank samples will be
used to assess background levels and establish minimum detection limits and
quantitation limits.
7. Data Quality Objectives developed during Phase I will be used for
comparison with QA results. Upon receipt of the data files range checks will be
conducted for each constituent. Data will be plotted on control charts to ensure
data are within the DQO specifications (e.g., +/- 3 standard deviations, etc.).
The data will be flagged, as appropriate, if QC checks do not satisfy QA
requirements. Additional QC analyses will be conducted as part of the statistical
analysis of the data.
The QA/QC data review package with the associated evaluations by FTN will be presented to
Region 4 SESD OQA for final review.
B. Data Analysis: The accumulation of data from the Phase II monitoring effort requires
continued analytical support. Statistical analysis in cooperation with Region IV, SESD, EAB is needed
to assist in evaluation, interpretation and integration of the data to achieve sophisticated assessment
results from the database. Phase II data will be analyzed in series with Phase I data to begin tend analysis
where possible.
C. Comparative Ecological Risk Assessment: The comparative ecological risk assessment of
the effects of mercury and other interacting variables on south Florida ecosystems will be guided by the
following outline. The initial ecorisk assessment has been deferred to allow additional information to
accumulate from other sources and to follow Phase II monitoring. Multiple iterations of this ecorisk
assessment are necessary to include more information which is becoming available from the South
Florida Mercury Science Program and other south Florida reasearch over time.
A Visual Basic program was formulated around the EPA Ecological Risk Assessment paradigm
and was used to help identify the important assessment questions, develop logic paths and decision trees
for addressing these questions, and information needs to conduct a comparative ecological risk
assessment of the effects of mercury on South Florida ecosystems. Since this program was developed,
several changes have occurred within the EPA EMAP and REMAP program that require modification of
the original plan for conducting this comparative assessment. This describes the modified approach
proposed for each of the phases of the risk assessment.
Phase I: Problem Formulation
1. Stressor Characterization
a. Literature review of mercury characteristics and information on mercury in AQUIRE,
IRIS and similar data bases.
b. Literature review and brief summarization on other stressors including total phosphorus,
habitat alteration, hydroperiod modification and exotic species
introductions.
c. Discussion of primary and secondary stressors and the interactions among stressors.
2. Ecosystems at Risk - Previously Identified in EcoRisk Model
a. Description of ecosystems, including geographic location, unique habitats and species.
17
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b. Tabulated format for information, with satellite images and pictures similar to D.
Scheldt's briefing book.
3. Ecological Effects
a. Literature review, building on reviews of Weiner, Loftus and Spalding.
b. Assess chronic and acute effects of mercury, including secondary effects such as higher
susceptibility to DNA damage from radiation at higher Hg concentrations.
c. Re-evaluate the ecological effects listed in the EcoRisk model such as reproductive
failure, tetralogies, decreased feeding efficiency. While these impacts or effects might
be true, little, if any, evidence that these changes are occurring.
d. Human health issues are secondary to this assessment, but there are potential impacts to
the human population.
4. Ecological Endpoints
a. Three areas valued by society are T&E species, wildlife and habitat protection, and
aesthetics.
b. Ecological or assessment endpoints have been selected for each of these and are
incorporated in the EcoRisk Model - Florida panther, alligator, wading birds, and fish.
c. Measures of effects (measurement endpoints) such as Gambusia, hair and feather
mercury concentrations also have been identified.
5. Conceptual Model
a. Model has been developed based on REMAP data. This model will be expanded to
incorporate the risk hypotheses developed during the February 1996 workshop (See
Attachment).
b. The conceptual models developed as part of the original program will be integrated into
this model.
c. The conceptual model will continue to evolve as additional information and additional
hypotheses are generated.
6. Preliminary Uncertainty Analysis
a. This analysis has already been initiated as part of the development of the conceptual
model.
b. This analysis will be refined as additional analyses are conducted.
Phase II. Analysis
1. Stressor Characterization, Ecosystem Characterization and Relevant Effects Data
a. REMAP data analysis will be conducted to assess seasonal mercury and associated
constituent dynamics and the potential effects of seasonal hydrology on these
dynamics.
b. Literature review to assess seasonal differences in species distributions and behaviors
(feeding, breeding, nursery areas,) will be correlated with seasonal patterns
in mercury dynamics.
c. Deposition information from the FAMS network will be obtained and evaluated along
with SOFAMS (if the analyses are available in time).
d. Other subtropical studies will be evaluated, particularly those presented at the 2nd, 3rd,
and 4th International Mercury conferences, for relevance to South Florida
Everglades.
2. Exposure Analysis
a. Literature review of other systems to identify other exposure pathways or
18
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methylation/demethylation processes.
b. Statistical analyses relating possible stressors to exposure concentrations will be
conducted, including the unique set of environmental conditions that must occur for
mercury methylation.
c. Order of magnitude source apportionment calculations will be made to assess the relative
contributions of different sources and subsequently used to evaluate possible
management scenarios for risk management.
d. ORD Screening Model results will be used to assess possible pathways and factors
contributing to mercury methylation and subsequent methyl mercury concentrations.
e. The availability of mercury cycling models, (e.g., ORD Screening Model, MERCS) and
mass balance models (e.g., SFWMD ENRP model, Multimedia fate models) will be
utilized to the extent of their availability.
f. Sensitivity analysis will be an integral part of these analyses. In addition, if time
permits, Monte Carlo or similar "stochastic" approach (e.g., Regional Sensitivity
Analysis) will be used to determine the range of possible exposures that might occur.
3. Ecological Response Analysis
a. Literature review of laboratory studies that have been conducted on dose-response
relationships for different organisms.
1) These typically will be acute doses.
2) Limited information on chronic toxicity and even less information on dose-
behavior relationships.
b. Search on-line data bases (AQUIRE, CCRIS, CESARS, ENVIROFATE, IRIS, etc) for
information on dose-response relationships for mercury.
c. Information from on-going studies will be solicited for inclusion in the risk assessment -
ATLAS, ELM, BASS.
d. A simple food chain model can be developed for critical path analysis that provides
information similar to BASS, this is done using a spreadsheet model. This will be done
when information from cooperators becomes available.
e. Sensitivity analysis will be an integral part of these analyses. In addition, if time
permits, Monte Carlo or similar "stochastic" approach (e.g., Regional Sensitivity
Analysis) will be used to determine the range of possible effects that might occur. (This
may have to be deferred following development of a food chain model).
4. Uncertainty Analysis
a. The assumptions made for each of the analyses, and the potential impact of these
assumptions on the conclusions, will be documented.
b. Assumptions inherent in the REMAP design and other field, laboratory
studies, and the potential impact on decisions, also will be documented.
Phase III. Risk Characterization
1. Integration
a. The Quotient Method will be used as a Tier 1 screen of possible impacts by comparing
(Exposure Conc)/(Effects Cone).
b. ORD Screening Model and MERCS results will be used as input to the simple food chain
model or other food chain models available.
19
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c. A Markov chain or similar probability chain can be developed to assess the likelihood of
effects given different stressor input concentrations and different
seasonal scenarios. This is not currently planned, but could be developed in future
assessments. (It will be deferred in this assessment).
d. Various management scenarios will be identified and evaluated using the integrated
models to assess the consequences of different management strategies.
2. Uncertainty Analyses
a. Results from Phase I and II uncertainty analyses will be integrated with uncertainty
arising from integrating various models or anecdotal information.
b. These uncertainty analyses will be qualitatively used to evaluate the certainty of
conclusions made in Risk Summary and Risk Significance Sections.
c. The uncertainty associated with different management strateties also will be qualitatively
estimated.
3. Ecological Risk Assessment Summary
a. Process of Elimination approaches will be used to assess possible ecological effects that
might be occurring because of other stressors and assess the likelihood that the
effect observed can be attributed directly to mercury.
b. Weight of Evidence approaches will be used to corroborate possible effects identified
through the process of elimination. This must be a joint effort of all the collaborators on
the REMAP and ORD projects so that we have consensus among investigators on these
conclusions.
c. The potential risk associated with different management scenarios will be incorporated
in the risk assessment summary so the potential consequences of management strategies
can be incorporated into the Risk Management Analyses.
d. A qualitative uncertainty ranking system will be used to score the certainty of various
conclusions.
4. Ecological Significance
a. Ecological significance will use the flow chart approach developed by Thornton and
Gentile and incorporated in the Gentile et al. Issue Paper and included in the revised
EcoRisk model.
b. This includes considerations of temporal and spatial scales, reversibility of the effects,
and magnitude of the response.
c. A qualitative approach will be used to rate the ecological significance of mercury
compared to other stressors.
5. Presentation of Results
a. The risk assessment will be documented in a report and published in the scientific
literature.
b. The risk assessment information will be packaged separately for different audiences and
different managers based on their information needs and the most effective approach for
providing them with this information.
c. Communication specialists will be consulted at this stage.
Assessment is a process, not a product. Multiple iterations of this assessment are needed to include
new information becoming available each year of the South Florida Mercury Science Program in an
on-going process of evaluating the effects of mercury on South Florida ecosystems.
ATTACHMENT
1. Risk Hypotheses
a. Canals
20
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1) Total phosphorus stimulates primary productivity, which contributes to
anaerobic conditions, and an increase in microbial activity and methylation of
Hg
or
Total phosphorus stimulates microbial decomposition, which contributes to
anaerobic conditions, and an increase in microbial methylation of Hg.
2) Canals receiving drainage from the EAA have increased methylation in the
canals and subsequent uptake through the food chain.
or
Canals receiving drainage from the EAA receive increased methyl mercury that
is produced in the EAA and discharged into the canals with subsequent uptake
through the food chain.
or
Canals receiving drainage from marshes have higher methyl mercury
concentrations because of increased methylation in the marshes. The methyl
mercury concentration in the canals is directly proportional to the
surface area of the marsh draining into the canals.
3) The northern canals serve as a source of mercury while the southern canals serve
as a mercury sink because of transport and sedimentation.
4) The northern canals have an incomplete, low diversity food web with few steps
in the food chain while the southern canals have a more diverse food web
with more links in the food chain and, therefore, greater biomagnification of
mercury through the food chain.
5) The conceptual model for mercury in fish is: Northern Canals [Hi TOC,SO4,S-
,Lo THgF] => Alligator Alley-Tamiami Trail Canal Sector [Mod TOC, SO4 Lo
S-,TP, HiTHgF] => Southern Canals [Lo TOC, SO4
TP,THgF].
6) The proximity to air sources results in elevated THgF concentrations. Canals
closest to the eastern shore of FL have the highest THgF concentrations. Canals
in the EAA have the highest THgF concentrations
because of the burning of sugar cane.
7) Mercury containing agricultural chemicals contribute
to elevated THgF concentrations.
8) Differences in the mercury regime are due to the high energy regime in the
canals versus the low energy regime in the marshes (e.g., sedimentation and
burial).
b. Marshes
1) Increased total phorphorus concentrations result in increased decomposition of
peat with the greatest methylation occurring at the transition between the aerobic
and anaerobic phase.
2) The processes in canals that result in elevated THgF are the same processes that
result in elevated THgF in the marshes.
C0: The processes are similar but of different importance.
C0: The processes resulting in elevated THgF concentrations are different in
canals and marshes.
3) Marsh areas proximal to the canals have higher THgF concentrations.
21
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C0: The high energy regime of canals results in lower methylation rates because
there is lower sedimentation in canals than marshes.
C0: Marshes are high filtration systems compared to the canals, which is why the
short transect gradients in TP and THgF concentrations are
observed.
4) Long hydroperiod peat marshes have higher THgF concentrations.
5) The THgF concentrations in marshes are controlled more by soils than canal
THgF concentrations are controlled by sediments.
6) Periphyton/emergent vegetation control biomagnification in marshes.
7) The proximity to air sources results in elevated THgF concentrations. Marshes
closest to the eastern shore of FL have the highest THgF concentrations.
Marshes in the EAA have the highest THgF
concentrations because of the burning of sugar cane.
8) Peat marshes have higher THgF concentrations than marl marshes.
9) The difference between peat and marl marsh THgF concentrations are controlled
by burial and removal of mercury.
10) Vegetation removes elemental mercury from the air and
methylates/ethylates it, resulting in increased methyl mercury concentrations in
water.
C0: Vegetation pumps mercury from the sediment/water and releases it to the
atmosphere.
11) Food web differences (incomplete versus diverse food chain links) account for
the elevated THgF (e.g., enriched marshes => incomplete food webs).
12) Geologic history (i.e., characteristics) control processes influencing methylation
and uptake.
c. These hypotheses need to be included in the report, along with any other hypotheses that
were considered during the analysis; not just the hypotheses that were retained. It is
important that the reader understand multiple hypotheses were considered
during these analyses. Additional hypothese will be added, revised and reviewed during
the analytical process.
Deliverables
Task 1 - Vegetation maps (digital and hard copy), aerial coverages by plant type for each station
in a spreadsheet database, and a final project report including interpolation maps of the
system.
Task 2 - Spatial-temporal statistical model(s) for assessment of habitat, mercury and water
quality indicators in the Everglades ecosystem.
Task 3 - Assistance to USEPA on field and laboratory methods development.
The analytical data with all associated QA/QC requirements specified in the SOW
submitted in a timely manner as completed by the laboratory through FTN Associates.
Task 4 - QA/QC data review packages with initial assessments for each of the seven DQO
requirements conducted by FTN Associates.
Assistance to FIU and USEPA in data evaluation, interpretation, analysis and
integration in preparation for presentation in final reports.
22
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Continue preparation for a comparative ecological risk assessment and initiate early
stages of the analysis.
Note: A final project report of Phase II results will not be required until after the wet season survey has
been completed and all the 1999 data can be analyzed in conjunction with the 1993-96 data.
OA/OC ATTACHMENT
LABORATORY DOCUMENTATION AND QUALITY CONTROL
REQUIREMENTS FOR DATA VALIDATION,
Ecological Risk Assessment, Everglades Ecosystem, Phase
Two, August 1998.
Office of Quality Assurance, Science and Ecosystem
Support Division, USEPA Region 4, 980 College Station
Road, Athens, Ga 30605-2720
INTRODUCTION
In all environmental projects, it is essential to know the quality of
the data used for decision-making purposes. The process of generating data of
known quality begins in the planning stages when data quality objectives
(DQOs) are established (EPA 1993 and 1994), continues during sample collection
and laboratory analysis, is evaluated when validating the analytical data (EPA
1994a, 1994b), and is finalized as part of the data quality assessment process
(EPA 1996). The purpose of this document is to identify the specific
laboratory quality assurance and documentation requirements that are generally
necessary as part of the data validation process.
The quality assurance and documentation requirements described in this
document are similar to those defined in recent versions of EPA's contract
laboratory program (CLP) inorganic and organic statements of work (SOW) [EPA
1992, 1994c]. However, the requirements are not exclusive to CLP work and
will apply whenever EPA Region 4 projects require environmental data which is
of known quality and legally defensible. As noted in various parts of this
document, it is desirable from the standpoint of permitting rapid review of
data, that summary forms, including sample results and quality control
information, be in CLP format. However, other formats are acceptable,
provided that all necessary information is included.
Validation of data requires that appropriate quality assurance and
quality control (QA/QC) procedures be followed, and that adequate
documentation be included for all data generated both in the laboratory and in
the field. Professionals trained in data validation procedures review this
information, "flag" data with qualifiers when QA/QC criteria are not met, and
prepare the data validation report. The validation reports are then used as
sources of data quality indicators, which are used to conduct a data quality
assessment relative to the pre-established DQOs.
The QA/QC documentation provided by any laboratory, in conjunction
with the sample results, allows for the evaluation of the following indicators
of data quality:
• Integrity and stability of the samples;
• Instrument performance during sample analysis;
23
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• Possibility of sample contamination;
• Identification and quantitation of analytes;
• Analytical precision; and
• Analytical accuracy.
The general laboratory documentation requirements discussed in this
document are formatted into two (2) sections, pertaining to general quality
assurance requirements (1.0) and specific analytical requirements (2.0).
1.0 GENERAL QUALITY ASSURANCE
• LABORATORY shall follow the quality assurance (QA) requirements
described in each QA Project Plan (QAPP) and in this Requirements
Document.
1.2 The project may include blind quality control samples. These may
consist of blanks and/or spikes. Successful performance on the spike
shall be defined as proper identification and quantitation of the
target analyte(s) within the established quantitative acceptance
windows. Successful performance for the blank shall be defined as no
contaminants present that interfere with the analytical integrity of
the target analytes.
1.3 LABORATORY shall establish and implement a comprehensive quality
assurance (QA) program in order to define the reliability of the
analytical results for analyses performed under this package. Such a
QA program shall be documented in a written QA Plan.
1.4 LABORATORY'S written QA Plan must present the policies, organization,
objectives, functional guidelines , and specific QA and QC activities
designed to achieve the data quality requirements in the QAPP and in
this requirements document. Where applicable, SOPs pertaining to each
element listed in this document shall be referenced as part of this QA
Plan and provided upon request.
1.5 LABORATORY'S written QA Plan shall be approved by SESD Office of
Quality Assurance (OQA) prior to the initiation of work. A copy of
updates to the laboratory's QA Plan and SOPs must be provided to OQA
as soon as revision are made.
1.6 The QA Plan shall include provisions for corrective action when QC
exceedances occur. All corrective actions with respect to analytical
operations must be documented. Any corrections to instrument raw data
or reduced data must be initialed and dated by the laboratory staff
making the correction.
1.7 LABORATORY'S QA Plan must describe the procedures which have been
implemented to achieve the following:
Maintain data integrity, validity and usability.
Ensure that analytical measurement systems are maintained in an
acceptable state of accuracy, stability and reproducibility.
Detect problems through quality control indicators and establish
corrective action procedures which keep all analytical processes
reliable.
24
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Document all aspect of the measurement process in order to provide
data which are technically sound and legally defensible.
1.8 LABORATORY'S QA Plan must address the following elements:
A. Organization and Personnel
1. QA Policy and Objectives
2. QA Management
a. Organizational chart
b. Assignment of QA and QC Responsibilities
c. Reporting Relationship Between QA and Management
d. QA Document Control Procedures
e. QA Program Assessment Procedures
3 . Personnel
a. Resumes
b. Education and Experience
c. Training Goals
B. Facilities and Equipment
1. Instrumentation and Backup Alternatives
2. Maintenance Activities and Schedules
C. Document Control
1. Laboratory Notebook Policy
2. Sample Tracking/Custody Procedures
3. Logbook Maintenance and Archiving Procedures
4. Project File Organization, Preparation and Review Process
5. Procedures for Preparation, Review, Revision and
Distribution of SOPs
6. Process for Revision of Technical or Documentation
Procedures
D. Analytical Methodology
1. Receipt and Review of Analysis Request
2. Calibration Procedure and Frequency
3. Sample Preparation/Extraction Procedures
4. Sample Analysis Procedures
5. Standards Preparation Procedures
6. Decision Processes, Procedures, and Responsibility for
Initiation of Corrective Action
E. Data Generation
1. Data Collection Procedures
2. Data Reduction Procedures
3. Data Validation Procedures
4. Data Reporting and Authorization Procedures
F. Quality Control
1. Solvent, Reagent, and Adsorbent Check Analysis
25
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2. Reference Material Analysis
3. Internal Quality Control Checks
4. Determination of QC Acceptance Limit Procedures
5. Determination of Corrective Action Procedures
6. Responsibility Designation
G. Quality Assurance
1. Data Quality Assurance
2. Systems/Internal Audits
3. Performance/External Audits
4. Corrective Action Procedures
5. Quality Assurance Reporting Procedures
6. Responsibility Designation
1.9 LABORATORY shall provide reports and other deliverables as specified
in this document. In addition, the laboratory shall follow document
control procedures. The goal of the laboratory document control
program is to assure that all documents for a specified project will
be accounted for when the project is complete. Accountable documents
used by LABORATORY shall include, but are not limited to, logbooks,
chain-of-custody records, sample work sheets, sample run logs,
instrument raw data, bench sheets, sample preparation records and
other documents relating to the sample analysis.
1.10 All original documentation not provided to EPA with the data package
related to the preparation and analysis of the samples shall be kept
on file for a minimum of five years. If at the end of the five year
period, the LABORATORY desires to dispose of the original documents,
the LABORATORY should first contact the EPA quality assurance officer
for permission to dispose of the documents. If directed by the EPA
contract officer, the laboratory shall ship all project documents to
EPA rather than disposing of the documents.
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2.0 INORGANIC ANALYSES
2.1 Documentation
The data package submitted for EPA data validation will consist of
five (5) sections:
A. Narrative;
B. Chain-of-Custody documentation;
C. Summary of results for environmental samples
(including quantitation limits);
D. Summary of QA/QC results; and
E. Raw data.
2.2 Narrative (Section A)
The narrative will be written on laboratory letterhead and the release
of data will be authorized by the laboratory manager or his/her
designee. The Narrative will consist of the following information:
• EPA's sample identification and the corresponding laboratory
identification;
• Parameters analyzed for each sample and the methodology used;
when applicable, cite EPA method numbers;
• Whether the holding times were met or exceeded;
• Detailed description of all problems encountered;
• Discussion of possible reasons for any QA/QC sample results
outside acceptance limits; and
• Observations regarding any occurrences which may affect
sample integrity or data quality.
2.3 Chain-of-Custody Documentation (Section B)
Legible copies of Chain-of-Custody forms for each sample shall be
submitted in the data package. The date of receipt and the observed
sample condition at the time of receipt must be described on the
Chain-of-Custody form.
2.5 Summary of Environmental Results (Section C)
The following information is to be included in the summary of results
for each environmental sample. The summary should follow the CLP
format if possible, but other formats are acceptable provided that all
necessary information is included.
• Form name;
• Client's sample identification and the corresponding
laboratory identification;
• Sample collection date;
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• Sample matrix;
• Date of sample digestion and quantity of sample subjected to
digestion, as applicable;
• Date and time of analysis;
• Identification of the instrument used for analysis;
• Instrument specifications;
• Weight or volume of sample used for analysis/digestion;
• Dilution or concentration factor for the samples;
• Percentage of moisture in the soil samples;
• Instrument detection limits (IDL) or method detection limits
(MDL);
• Analytical results; and
• Definitions for any data qualifiers used.
2.6 Summary of QA/QC Requirements and Results (Section D)
The following QA/QC sample results must be presented on summary forms
to facilitate data validation and data quality assessment activities.
These summaries should follow the CLP format, if possible. Other
formats are acceptable provided that all necessary information is
included and the summary is easy to follow.
2.6.1 Instrument Calibration (CLP Form II equivalent)
• For instruments using external calibration standards, the
calibration curves must consist of a least three standard, in
addition to a zero standard, and have a linear correlation
coefficient greater than 0.995. Instruments must be fully
calibrated each day of use, unless the analytical method
expressly permits verification of the initial calibration
with fewer standards. The order for reporting of calibrations
for each analyte must follow the chronological order in which
the standards were analyzed.
Initial Calibration Verification
The initial calibration must be verified each time EPA
samples are analyzed. The initial calibration verification
standard should be a standard reference material from the
National Institute of Standards and Technology (or secondary
standards traceable thereto), or from sources which attest to
the authenticity and concentration of the standard solutions.
Report the concentration for the true value, the
concentration found, the percent recovery, and the control
limits for each parameter analyzed. The date and time of
analysis must also be reported.
Continuing Calibration Verification
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Analyze a continuing calibration verification (CCV) standard
after a maximum of 20 EPA sample to demonstrate that the
system is maintaining calibration. Report the source for the
continuing calibration standards which may be the same as the
initial calibration standards. Report the concentration for
the true value, the concentration found, the percent
recovery, and the control limits for each element analyzed.
The date and time analysis must also be reported.
Sensitivity Verification Standard
Analyze and report results for a low-level standard which is
3-5 times the laboratory's method detection limit to verify
instrument sensitivity (that the reported detection limits
can be achieved) in the manner described for continuing
calibration verification. This standard may be analyzed
immediately after calibration verification if desired.
2.6.2 Method Blank Analysis (CLP Form III equivalent)
Prepare and analyze a method blank with each batch of samples
which is prepared ans analyzed. Report analyte
concentrations found in the method blank. The method blank
must be prepared and analyzed in the exact same manner as
samples and include all reagents used in sample preparation
and analysis. The date and time of analysis must also be
reported.
2.6.3 Method Detection Limit
Analyze and report the method detection limit according to
the procedure found in 40CFR Part 136, Appendix B. This
should be done at least yearly or whenever instrument
operating conditions or instruments are changed. Supporting
data for the MDL is required to be reported only each time
the MDL is determined, not with each data package.
2.6.4 Precision and Accuracy
• Matrix spike (MS) analysis (CLP Form V equivalent)
Analyze an MS at a frequency of 1 per 20 EPA samples. Report
the concentration of the spiked sample result, the sample
result and the quantity of spiking solution added to the
spike for each analyte. Calculate and report the percent
recovery and list the control limits.
• Matrix Duplicate Analysis
Analyze a Matrix Duplicate at a frequency of 1 per 20
analytical EPA samples. Report the original concentration,
duplicate concentration and relative percent difference
(RPD). List the control limits.
2.6.5 Other QC Criteria
• All QC samples, including the method blank, spikes and
duplicates, and standards should be prepared and digested
in the same manner as the samples.
29
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• DORM/Oyster SRM should be analyzed with the fish samples
and a soil SRM must be analyzed with the soil and
periphyton samples to demonstrate the accuracy of the
method.
• Accuracy and precision of the QC data must meet the
control limits specified in the laboratory's EPA approved
QA Plan.
• An example calculation showing how the final result was
obtained for each analyte must be included in each data
package. The calculations performed by the laboratory
must include all information needed by a third party data
reviewer to reconstruct the final reported result.
2.7 Raw data (Section E)
This section shall include legible copies of the raw data for
the following:
• Environmental sample results (arranged in increasing client's
sample number order);
• Instrument calibrations; and
• QC sample analysis data.
The raw data for each analysis shall include the following:
• Measurement print-outs and quantitation reports for each
instrument used;
• Absorbance, titrimetric, or other measurements for wet
chemical analysis;
• Sample preparation and digestion logs;
• Instrument analysis logs for each instrument used; and
• Percent moisture in the soil samples (when applicable).
Legible copies of the raw data shall be organized systematically, and
each page shall be numbered, and a table of contents must be included
in each package. All data should include the analyst name or initials
and date of sample preparation and/or analysis.
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3.0 REFERENCES
EPA, 1996. Guidance for the Data Quality Assessment Process. EPA QA/G-9.
Pre-Publication Copy. February, 1996.
EPA, 1994. Guidance for the Data Quality Objectives Process. EPA QA/G-4.
September, 1994.
EPA, 1994a. USEPA Contract Laboratory Program National Functional Guidelines
for Inorganic Data Review. EPA-540/R-94-013. PB94-963502. Publication 9240.1-
05-01. (February 1994).
EPA, 1994b. USEPA Contract Laboratory Program National Functional Guidelines
for Organic Data Review. EPA-540/R-94-012. PB94-963502. Publication 9240.1-05.
(February 1994) .
EPA, 1994c. USEPA Contract Laboratory Program Statement of Work for Organic
Analysis, Multi-Media, Multi-Concentration. OLM03.1. EPA-540/R-94-073. PB95-
963503. Publication 9240.1-06. (August 1994).
EPA, 1993. Data Quality Objectives Process for Superfund, Interim Final
Guidance. EPA/540/G-93/071, Publication 9355.9-01, September, 1993.
EPA, 1992. USEPA Contract Laboratory Program Statement of Work for Inorganic
Analysis, Multi-Media Multi-Concentration. Document Number ILM03.0 EPA-540/R-
94-073. PB95-963503. Publication 9240.1-06. (November 1992).
31
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Attachment 2
Project Data Quality Objectives (DQOs)
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South Florida Ecosystem Assessment Project
Decision-Based Data Quality Objectives
Data Quality Objectives
The Data Quality Objectives (DQOs) were prepared generally following the Guidance for the
Data Quality Objectives Process EPA QA/G-4 (EPA 1994). This US Environmental Protection
Agency (EPA) Guidance document, however, is not entirely appropriate for research projects.
The EPA Quality Assurance Management Staff are in the process of preparing DQO guidance
for research projects, but this guidance is not currently available. The South Florida Ecosystem
Assessment Project is a research project that, in part, is developing risk-based criteria for
decisions because the existing criteria are not appropriate or no criteria exist. Therefore, two
separate, but complementary, approaches were used to develop DQOs. The first approach was to
use the EPA QA/G-4 documentation as guidance in developing decision-based DQOs, which are
discussed in this document. This document uses the EPA QA/6-4 report format. The second
approach revised the DQOs originally proposed in the REMAP Research Plan (Stober et al.
1993). These revised DQOs are listed in Appendix A.
Background
In 1989, a Florida panther, an endangered species, died because of mercury toxicosis. Since then,
over 2 million acres in South Florida have been placed under fish consumption advisories
because of mercury contamination. The EPA Region 4 Science and Ecosystem Support Division
(SESD), therefore, was charged by the EPA Regional Administrator to develop an action plan to
evaluate the mercury issue and provide a scientific basis for evaluating options and strategies to
eliminate mercury contamination in the South Florida Everglades Ecosystem. Subsequently, the
Region 4 SESD prepared a research plan, had this plan peer-reviewed, and initiated the study as
a Regional Environmental Monitoring and Assessment Program (REMAP) Project. As the
Project planning and pilot Project proceeded, it became obvious that the environmental issues in
South Florida (eutrophication, mercury contamination habitat alteration, hydroperiod
modification) are highly interactive and need to be addressed through an integrated monitoring
and assessment program. Therefore, the REMAP Project was expanded to become the South
Florida Ecosystem Assessment Project addressing these multiple environmental issues. The
variables being measured in this Project will permit answers to questions on these multiple
environmental issues. A central goal of the Project, however, remains to answer assessment
questions related to the magnitude, extent, trends, and transformation processes in mercury
contamination of the South Florida Everglades Ecosystem.
State the Problem - a description of the problem(s) and specification of available resources and
relevant deadlines for the study.
(1) Identify the members of the team - The team consists of the Region 4 Project Manager,
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SESD; Assistant Project Manager, Water Division; Quality Assurance Officer; Southeast
Environmental Research Program manager, Florida International University; and systems
ecologist and QA support, FTN Associates, Ltd.
(2) Identify the primary decision maker(s) - The primary decision maker is the South Florida
Ecosystem Assessment Project Manager. Other decision makers include the Assistant
Project Manager, Division Directors for the Water Division and Science and Ecosystem
Support Division.
(3) Develop a concise description of the problem - Mercury contamination, nutrient loading,
hydropattern modification, and habitat alteration are impacting fish and wildlife in the
South Florida Everglades Ecosystem. The sources, causes, and interactions among many
of these environmental stressors are unknown. Environmentally-sound, cost-effective
restoration of the South Florida Everglades Ecosystem, however, depends on identifying
these sources, causes and interactions. Almost one billion dollars are estimated to be
spent on this restoration effort.
(4) Specify the available resources and relevant deadlines for the study - Approximately
$1 million dollars/year are needed to determine the magnitude, extent, trends and
possible causes of the mercury contamination, eutrophication, hydropattern modification
and habitat alteration problems. This represents less than 0.1% of the proposed
restoration expenditures. The relevant regulatory deadlines are listed in Table 1. These
regulatory deadlines extend through 2004, with a major milestone in 1999 when the EPA
mercury report is due to the South Florida Ecosystem Restoration Task Force.
Identify the Decision - a statement of the decision that will use environmental data and the
actions that could result from this decision.
(1) Identify the principal study questions - The principal study questions were identified as
part of the original proposal and specification of the DQOs. These seven policy-relevant
questions are listed in Table 2.
(2) Identify alternative actions that could result from resolution of the principal study
questions - The logical alternative actions and pathways that could result in answering
these seven questions were identified during the initial phases of the Project. These
pathways were incorporated into a Visual Basic computer program to show the logical
development of these alternative actions. The expanded logic pathways from this
computer program are shown in Figure 1. These logic pathways and alternative action
formulations are a major part of the Problem Formulation phase of the Ecological Risk
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Table 1. Mercury Related Legislative and Regulatory Deadlines.
Date
1995
1996
1996
Oct 1997
Sep 1998
Dec 1998
Jan 1999
Jul 1999
Dec 1999
Dec 2001
Oct 2003
Dec 2003
2004
Federal
NPDES Permit for the ENR project (CWA)
EIS for the Everglades Construction Project
(NEPA)
404 Permit for the Everglades Construction
Project (CWA)
404 Permit for STA-6 (CWA)
USACOE Central & Southern Florida Project
Restudy Plan Draft Report & Draft EIS
(WRDA, NEPA)
STA-1W, 2, & 5 404 Permits (CWA)
Final Restudy Report and EIS due to
Congress (WRDA, NEPA)
STA-3 & 4 404 Permits (CWA)
Approval of water quality standards for the
Everglades Protection Area & EAA canals
(CWA)
Florida
STA-6 NPDES Permit and 402 Certification
Evaluation of water quality standards for the
Everglades Protection Area & EAA canals
(EFA)
STA-1W, 2, & 5 NPDES Permits, 402
Certification (CWA)
Report to Governor and Legislature on status
of EPA mercury study (EFA)
Phosphorus criterion rulemaking for
Everglades Protection Area and EAA canals
(EFA)
STA-3 & 4 NPDES Permits and 404
Certification (CWA)
Revised water quality standards for the
Everglades Protection Area & EAA canals
(EFA)
WRDA: Federal Water Resources Development Act STA: Stormwater Treatment Area
EFA: Florida Everglades Forever Act EAA: Everglades Agricultural Area
CWA: Federal Clean Water Act NEPA: Federal National Environmental Policy
Act
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Table 2. Policy-Relevant Questions Guiding the Project.
Status and Trends
1) What is the magnitude of the mercury problem? What are the current levels of
mercury contamination in various species? What ecological resources of
interest are being adversely impacted by mercury?
2) What is the extent of the mercury problem? (i.e., what is the geographic
distribution of the problem? Is it habitat specific?)
3) Is the problem getting worse, better, or staying the same over time?
Diagnosis and Management
4) What factors are associated with, or contributing to, methylmercury
accumulation in sensitive resources?
5) What are the relative contributions and importance of mercury from different
sources (e.g., fossil fuel plants, waste incinerators, agricultural management
practices, geologic pools, natural peat deposits, global atmospheric
background, etc.)?
6) What are the relative risks to different ecological systems and species from
mercury contamination?
7) What management alternatives are available to ameliorate or eliminate the
mercury contamination problem?
Assessment Framework that forms the foundation of this study. Dichotomous trees
were formulated for each of the logic pathways developed during the initial Project
phases. These trees were developed prior to the initiation of the field sampling and
were used to assist in the formulation of the preliminary project DQOs.
(3) Combine the principal study questions and the alternative actions into a decision
statement - "Decide how the relative ecological risk from mercury contamination
compares with the risks from nutrient additions, hydropattern modification, habitat
alteration. Determine if controlling these other stressors will eliminate mercury
contamination; if not, determine procedures that can be used to eliminate mercury
contamination."
(4) Organize multiple decisions - Multi-decision pathways will be based on the outcomes
from the logic pathway analyses shown in Figure 1. These logic and decision pathways
will be refined as the Project proceeds and new information is collected and analyzed.
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Status and Trends
File View
Exporatory
Analyses
- Post-Slat.
- Clustering
file View
Assoc. Analyses
N atufal/Anthropogenic
1 Monitoring
Modeling
1
- Mercury Cycling Models T|
- Nested Intensive Monitoring
Experimental
- Emissk
^1 - Mesocosms
__ji i
] jj Find: Files...) [3j Exploring...) f£Corel Wor...|| p,Diagno... Q,Slatusan...|
3:52 AM
Figure 1. Logic pathways for decisions on Status and Trends and Diagnosis and
Management Questions. Pathways diagram information and analyses needed to
answer the seven policy-relevant questions.
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Identify the Inputs to the Decision - a list of the environmental variables or characteristics that
will be measured and other information needed to resolve the decision statement.
(1) Identify the information that will be required to resolve the decision statement - The
information needed to resolve the decision statements is listed in Table 3.
(2) Determine the sources for each item of information identified - The South Florida
Ecosystem Assessment Project (SFEA) is the primary source of the information needed
to address the decision statements. The decision statements can not be resolved without
this Project. Additional sources of information also are identified in Table 3.
(3) Identify the information that is needed to establish the action level - The criteria that will
be used to establish the action level will be:
(a) Variability - ecological effects significantly different from natural variability
(b) Endpoints - reproduction, feeding efficiency, behavioral changes, and other
ecologically relevant processes, in addition to toxicity
(c) Temporal scale - chronic versus acute effects
(d) Spatial scale - small versus large scale effects
For most constituents, regulatory criteria or standards do not exist. The decision will be
made using risk-based action levels.
(4) Confirm that appropriate measurement methods exist to provide the necessary data - For
conventional pollutants, EPA approved methods are being used to measure
environmental variables with an approved QAPP. For some constituents, such as total
phosphorus, existing EPA methods do not have the resolution needed to detect low-level
background concentrations. For other constituents, such as methylmercury in water, soil,
and sediment, there are no approved measurement methods. Therefore, experimental
measurement methods are being developed for these constituents, with confirmatory
analyses being conducted by independent laboratories.
Define the Boundaries of the Study - a detailed description of the spatial and temporal
boundaries of the problem, characteristics that define the population of interest, and any practical
considerations for the study.
(1) Specify the characteristics that define the population of interest - The target population
or population of interest are all ecological resources in the South Florida study area. This
includes the freshwater wetlands, open water and canals found in the Everglades National
Park (ENP), Water Conservation Areas (WCAs), Big Cypress National Preserve (BiCY),
and Everglades Agricultural Areas (EAA). The media to be sampled include, sediment,
water, and biota. The emphasis is on mercury concentrations in biota, especially fish
tissue. However, one of the desired outcomes of the Project is better estimates of
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Table 3 A. Information Needs, Source and Method.
Measurement Variable
Physical Measurements
Site location
Weather
Discharge, structure
Water depth
Temperature
Peat depth
Turbidity
Bulk density
% Mineral content
Ash free dry weight
Chemical Measurements
Dissolved oxygen
Specific conductance
pH
Total organic carbon
Total phosphorus
Sulfate
Total mercury
Methymercury
Alkaline phosphatase
Redox potential
Total phosphorus
Total Nitrogen
Ammonium-N
Nitrite-N
Nitrate-N
SRP
Total Organic Carbon
Sulfide
Chlorophyll a
Biological Measurements
Resource class
Periphyton presence/absence
Chlorophyll a
Soil/Sediment total mercury
Soil/Sediment methylmercury
Fish total mercurv
Source
SFEA
SFEA, NOAA
SFWMD
SFEA, SFWMD
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
SFEA
Method
Global Positioning System
Visual observation, meteorological stations
Gage readings, pump capacity
Calibrated line, depth recorders
Thermistor
Calibrated probe
Turbidimeter
Balance, weighing
Combustion furnace
Combustion Furnace
DO probe
Conductivity meter
pH meter
Total carbon analyzer
Laboratory Analysis
Laboratory Analysis
New method development
New method development
New method development
Volt meter
Laboratory Analysis
New method development
Laboratory Analysis
Laboratory Analysis
Laboratory Analysis
Laboratory Analysis
Laboratory Analysis
Laboratory Analysis
Laboratory Analysis
Visual inspection
Visual observation
Laboratory Analysis
New method development
New method development
New method development
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Table 3B. Other Information Needs and Sources.
Information Needs
Water management operation records
Atmospheric mercury deposition/evasion
Nutrient loading estimates
Habitat changes
Simulated natural hydropatterns
Vegetation patterns and production
ENR Project results
Periphyton production - nutrient relationships
Organic carbon speciation
Sulfate reduction/loading
Mercury methylation/demethylation
Fish and invertebrate impacts
Wading bird impact
Large mammal and reptile impacts
Sources
SFWMD, COE
FL DEP, EPA, FAMS,
SFWMD, UFL, FSU
SFWMD
FWS NWI, NFS
SFWMD
NFS, FWS, SFWMD
SFWMD, FL DEP
SFWMD, FL DEP, FIU, UWI
USGS
SFWMD, USGS, FIU, UWI
USGS, SFWMD, UMD, FIU,
UFL, UWI
FWS, NFS, FIU, UFL
FWS, NFS, UFL
FWS, NFS, FIU, UFL, FSU,
UGA
the type and proportion of ecological resources and the impacts of other stressors on
these resources in South Florida.
(2) Define the spatial boundary of the decision statement
(a) Define the geographic area to which the decision statement applies. The
geographic area being studied, and for which decisions apply, is approximately
160 km long and 60 km wide, resulting in an area of about 9600 km2. The exact
boundaries are listed in Table 4 below and shown in Figure 2.
11
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Table 4. Geographic Area Boundaries.
Boundary
Northern
Western
Southern
Eastern
Description
West from Canal L8 to its junction with Lake Okeechobee and across to the
Caloosachatchee River.
Vertical line from the intersection of the Caloosahatchee River and Highway
833 south to the coast (the mangrove region is excluded from the target
population).
Edge of the western mangrove east to the intersection with Highway US 1.
Highway US 1 north to its intersection with Highway 27, then along the eastern
boundaries of Water Conservation Areas to the Intersection with Canal L8.
(b) When appropriate, divide the population into strata that have relatively
homogeneous characteristics. Strata of interest were based on the decision
statement, rather than on homogeneity of variance. For example, there was less
interest in defining the characteristics of the Big Cypress National
Preserve (BiCY) than in other designated geographic areas. Therefore, BiCY was
sampled with a lower inclusion probability (approximately 1/3 the density of
other areas within the study boundaries). In addition, subsequent analyses have
indicated the areas north of Alligator Alley, between Alligator Alley and Tamiami
Trail, and south of Tamiami Trail have attributes that can influence management
and policy decisions.
(3) Define the temporal boundary
(a) Determine the timeframe to which the decision statement applies. The decision
statement applies from the time of the first data collection in April 1994 until at
least 2004. The mercury-related legislative and regulatory deadlines are defined
in Table 1. However, Project results are applicable to a longer timeframe because
the South Florida Ecosystem Restoration Task Force has legislative mandates for
hydropattern modification, habitat alteration and eutrophication deadlines beyond
2004 that can be addressed with results from this Project.
(b) Determine when to collect the data. Because time and space scales are inexorably
coupled, the synoptic sampling approach spatially dictates that the temporal
sampling frequency be seasonal. There are two distinct hydrologic seasons in
Florida. The dry season extends from November to April and the wet season
extends from June until September. May and October are transitional months.
Sampling during only one season could result in biased and flawed decisions on
12
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Everglades Ecosystem:
Sugar Cane Fields
EVERGLADES
AGRICULTURAL
-LOXAHATCHEE
NATIONAL
WILDLIFE REFUGE
Sawgrass Marsh
Wet Prairie -
Floating Periphyton
Cattail Marsh
Cypress Forest
Storm water Treatment Area
Ever glades Agricultural Area
Water Conservation Area
Everglades National Park
Big Cypress National Preserve
Wildlife Management Area
Wet Prairie -
Sawgrass Marsh
Figure 4. Everglades ecosystem communities.
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management or regulatory issues, because of seasonal variability. Sampling, therefore,
needs to be done during both the dry and wet season. Decisions will be made over the
next decade, based, in part, on spatial and temporal trends in information. These trends
can not be defensibly determined with only one set (wet and dry season) of data at the
beginning and end of the decision time frame. Two reference periods define change, not
trends. Power analyses will be conducted to determine the number of sampling intervals
needed to detect statistically defensible trends and contribute to the decision process.
(4) Define the scale of decision making - Decisions on mercury management and restoration
issues must be made for the entire South Florida ecosystem. The environmental issues
arose because of small-scale, piecemeal approaches to managing the system.
(5) Identify practical constraints on data collection - The large geographic area for sampling,
and the need to collect synoptic samples requires that sampling be conducted by multiple
teams using helicopters and airboats. The sampling period should be no longer than
10 days to minimize large scale changes in meteorology affecting water depth and quality
measurements. The number of samples and sample volume need to be minimized to
reduce weight and time for collection, but with sufficient volume to permit precision and
accuracy requirements to be achieved. Clean sampling procedures are required for the
mercury analyses, both in the field and in the laboratory. Low concentration nutrient
analyses also are required because of the ultraoligotrophic condition of the Everglades
wetlands.
Develop a Decision Rule - to define the parameter of interest, specify the action level and
integrate previous DQO outputs into a single statement that describes a logical basis for choosing
among alternative actions.
[NOTE: This DQO guidance statement is not compatible with the South Florida
Ecosystem Restoration goals and objectives. The issues in South Florida are not
independent; they are highly interactive. Multi-media decisions are required for multiple
issues. There is no single statement can be formulated that will permit decisions among
alternative actions. The greatest threat to the Everglades ecosystem is to assume these
issues are independent and derive one single statement to address all issues. The Project,
in part, will determine what the criteria should be for multiple issues such as phosphorus
loading, water depth, distribution and timing, methylmercury concentrations in
multi-media, and habitat types.]
(1) Specify the statistical parameter that characterizes the population of interest - REMAP is
an exploratory research program so no single statistical parameter has been selected to
characterize the population of interest. In addition, the emphasis is not on one single
constituent, such as a hazardous material that might exceed a regulatory standard.
Rather,
-------
DRAFT
February 3, 1999
several statistical parameters are needed to characterize different population attributes,
including:
(a) mean concentrations of selected constituents (see Table 3 for constituents)
(b) cumulative distributions of constituents, by season, by area
(c) distributional differences among constituents
(d) spatial patterns of constituents, and
(e) spatial/temporal associations among constituents.
(2) Specify the action level(s)for the study - Three action levels currently exist:
(a) Phase I control target for total phosphorus of 50 ^g/L (ppb);
(b) Water total mercury criterion for protection of aquatic life of 12 ng/L
(ppt); and
(c) Proposed predator protection level for mercury of 100 /ag/kg (ppb) for prey
species.
All three of these levels are underprotective. New risk-based action levels need to be
determined. Currently, 95% of the marsh has total phosphorus concentrations less than
50 ppb; 100% of the marsh has total mercury concentrations less than 12 ppt, and 68% of
the marsh has prey fish species with mercury concentrations greater than 100 ppb
(Figure 3). Developing appropriate risk-based action levels for total phosphorus and
mercury is one of the objectives of this Project. The detection and minimum quantitation
limits for all three of these constituents are less than the respective criterion. Because
risk-based action levels are needed, methods with increased sensitivity have been
developed and are being tested.
(3) Develop a decision rule (an "if...then" statement) - Decision rules express what the
decision maker ideally would like to resolve. The decision has been made that revised
criterion are needed, based on the information developed to date from the Project.
Preliminary decision rules, given this need, are listed in Table 5. Subsequent revisions of
the DQO document will expand and refine these decision rules as additional information
becomes available. Logic flow paths have been formulated (Figure 1) to increase the
probability future information will improve the efficacy of the decision rules.
Specify Tolerable Limits on Decision Errors - the decision maker's tolerable decision error
rates based on a consideration of the consequences of making a decision error.
(1) Determine the possible range of the parameter (s) of interest - The possible range of the
parameters of interest are listed in Table 6. These ranges are based on this Project and
other studies conducted in the South Florida Everglades ecosystem.
12
-------
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;f:1lv* -ccoio|ra:;y c!f,x!i aj-c csbjwedl from entrc-phicanon a-wi meicurv
13
-------
Table 5. Preliminary Decision Rules for South Florida.
Decision Rules
la If the South Florida Everglades Ecosystem can not be managed to achieve all desired
ecological uses, then a comparative ecological risk assessment shall be conducted to
determine which stressors, and their interactions, are placing the system at greatest risk.
Ib If the South Florida Everglades Ecosystem can be managed to achieve all desired
ecological uses, then the management, regulatory and control practices shall be
maintained.
Based on the results of this comparative risk assessment,
the following decision rules might be used:
2a If phosphorus concentrations exceed a risk-based action level, then nutrient loads will be
reduced until phosphorus concentrations are less than the action level.
2b If phosphorus concentrations are less than a risk-based action level, then BMPs and other
nutrient control programs will be maintained.
3a If hydropattern modification varies by more than 10% from the desired natural
hydropattern rule curve, then the hydropattern will be modified to match the desired
natural hydropattern rule curve while maintaining flood control and water supply.
3b If the hydropattern modification is within 10% of the desired natural hydropattern rule
curve, and flood control and water supply purposes are satisfied, then the hydropattern
management and operational programs will be maintained.
4a If hydropattern modification varies by more than 10% from the desired natural rule curve
and either flood control and/or water supply requirements can not be satisfied, then
alternative flood control and water supply options will be investigated to return the
hydropattern to within 10% of the desired natural rule curve.
4b If hydropattern modification can not be returned to within 10% desired natural rule curve
and achieve water supply and/or flood control demands, then a risk-based benefit/cost
analysis will be performed to determine which alternatives have the lowest benefit/cost
ratio and that use eliminated.
5a If habitat alteration exceeds risk-based landscape action level metrics, then habitat
alternation, a benefit/cost analysis will be done to determine if this habitat alteration
including urban development or agricultural production, should be banned and habitat
restoration under taken.
5b If habitat alteration is less than risk-based landscape action level metrics, then habitat
alteration will be permitted until these values are within 5% of the lower limit of the
action level.
14
-------
Table 5. (Continued).
Decision Rules
6a If mercury concentrations exceed a risk-based action level, then mercury sources will be
controlled until mercury concentrations are less than this risk-based level.
6b If mercury concentrations are less than the risk-based action level, mercury sources will
be controlled to ensure the action level is not exceeded.
7a If hydropattern modification greater than 10% from the risk-based desired natural rule
curve aggravates mercury contamination offish and wildlife, then the hydroperiod shall
be modified to achieve the risk-based action level.
7b If the hydropattern modification less than 10% of the risk-based desired natural rule
curve aggravates mercury contamination offish and wildlife, then a comparative risk
assessment and risk-based benefit/cost analysis shall be conducted to determine which
stressor places that system at greatest risk and has the lowest benefit/cost ratio; that
stressor then will be reduced.
8a If nutrient loading exceeds the nutrient risk-based action level and aggravates mercury
contamination offish and wildlife, then nutrient loading shall be reduced to achieve the
risk-based action level.
8b If nutrient loading is less than the nutrient risk-based action level and aggravates mercury
contamination offish and wildlife, then a comparative risk assessment and risk-based
benefit/cost analysis shall be conducted to determine which stressor places that system at
greatest risk and has the lowest benefit/cost ratio; that stressor then will be reduced.
9a If habitat alteration exceeds risk-based landscape action level metrics and aggravates
mercury contamination offish and wildlife, then additional habitat alteration shall be
banned and habitat restoration under taken.
9b If habitat alteration is within the risk-based landscape action level metrics and aggravates
mercury contamination offish and wildlife, then a comparative risk assessment and risk-
based benefit/cost analysis shall be conducted to determine which stressor places that
system at greatest risk and has the lowest benefit/cost ratio; that stressor then will be
reduced.
15
-------
Table 6A. Water Constituents Ranges in South Florida.
Measurement Variable
Range
Minimum
Maximum
Physical Measurements
Site location (deg.)
Water depth (m)
Temperature (°C)
Turbidity (NTU)
Latitude Longitude
25.30 80.22
0.5
18
0.1 80
Latitude Longitude
26.93 81.13
6
36
180 61
Chemical Measurements
Dissolved oxygen (mg/L)
Specific conductance (,aS)
pH (s.u.)
Total organic carbon (mg/L)
Total phosphorus (mg/L)
Sulfate (mg/L)
Total mercury (ng/L)
Methymercury (ng/L)
Alkaline phosphatase
0
10
5.5
5
0.001
1.0
0.02
0.03
0.01
15
2150
8.8
80
0.500
850
12
1.5
8.0
Biological Measurements
Resource class (canal, sawgrass
marsh, cattails, etc.) (Numeric rank)
Periphyton presence/absence (1,0)
Chlorophyll a (/ag/L)
Periphyton total mercury (,ag/kg)
Periphyton methylmercury (^ig/kg)
Fish total mercury (,ag/kg)
1
0
0
4
0.08
5.0
7
1
100
600
25
1000
16
-------
Table 6B. Soil/Sediment Constituents Ranges in South Florida.
Measurement Variable
Range
Minimum
Maximum
Physical Measurements
Peat depth (m)
Bulk density (g/cc)
% Mineral content (%)
Ash free dry weight (%)
Redox potential (mV)
0
0.05
3%
1.0
-250
>4.25
1.4
99%
96.0
+600
Chemical Measurements
Soil/Sediment total mercury (^ig/kg)
Soil/Sediment methylmercury
(Mg/kg)
Soil/Sediment total phosphorous
(Mg/kg)
Soil/Sediment sulfate (Mg/kg)
3.0
0.01
10
20
500
50
9000
850
17
-------
DRAFT
February 3, 1999
(2) Identify the decision errors and choose the null hypotheses
(a) Define both types of decision errors and establish the true state of nature for each
decision error. By convention, a Type I (false positive) error is rejecting the null
hypothesis when it is true. A Type n (false negative) error is not rejecting the null
hypothesis when it is false. The two types of decision errors for the Project are (I)
deciding the risk-based action level is exceeded when it truly is not, and (II)
deciding the risk-based action level is not exceeded when it truly is.
The true state of nature for decision error (I) is that the null hypothesis is true.
The true state of nature for decision error (II) is that the null hypothesis is false.
(b) Specify and evaluate the potential consequences of each decision error. The
consequences of deciding the risk-based action levels are exceeded when they
truly are not (decision error I) means there will be increased control costs
associated with nutrient and mercury source reduction, restricted urban and
agricultural development, habitat restoration, and restricted hydropattern
modification around the natural hydropattern rule curve, which could result in
flood damage or water supply shortages.
The consequences of deciding the risk-based action levels are not exceeded when
they truly are (decision error n) means that ecological restoration of the South
Florida Everglades ecosystem will not be successful.
(c) Establish which decision error has more severe consequences near the action
level. Based on current laws and regulations related to the South Florida
Everglades ecosystem (e.g., Everglades Forever Act), the decision II error has the
more severe consequences near the action level because of the risk to both
ecological and human health and ecological restoration. However, this
consequence must be based on a comparative risk assessment and a risk-based
benefit/cost analysis of the risks and impacts. The economic consequences are in
the billion dollar category for both types of decision errors.
(d) Define the null hypothesis (baseline condition) and the alternative hypothesis and
assign the terms "false positive " and "false negative " to the appropriate decision
error. Null hypotheses for DOQs are not equivalent to experimental null
hypotheses for statistical testing. Null hypotheses for DQOs reflect the decision
error that has the most adverse potential consequences. The DQO null hypothesis
is equal to the true state of nature that exists when the more severe decision error
occurs. The null hypotheses for this Project, therefore, would be:
18
-------
DRAFT
February 3, 1999
H0 = The comparative ecological risk assessment indicates the interactions among
stressors puts the South Florida Everglades ecosystem at risk.
H0 = The risk-based action levels for nutrient concentrations are exceeded.
H0 = The risk-based action levels for mercury concentrations are exceeded.
H0 = The risk-based landscape action level metrics are exceeded.
H0 = The risk-based action levels for hydropattern modification exceed by X%
the natural hydropattern rule curve.
A "false positive" has the greatest consequences for each of these hypotheses.
(3) Specify a range of possible values of the parameter of interest where the consequences of
decision errors are relatively minor (gray region) - The purpose of this research project is
to determine the action level values. Until these action levels are defined, it is not
possible to specify actual numeric values to an area of minor importance. It is, however,
possible to indicate these areas of minor importance will be at the extremes of the
distribution. In this portion of the action level curve, there will be a low probability of
making either type of decision error.
(4) Assign probability values to points above and below the action level that reflect the
tolerable probability for the occurrence of decision errors. - The QA G-4 Guidance
manual indicates the gray region where greater tolerable errors are permitted are around
the action level, with lower tolerable errors around the extreme values. The planning
team disagrees with this concept. The greater tolerable errors are permitted at the
extemes of the distribution because it is unlikely that large errors in the metric would alter
the conclusion that the action level was either exceeded or not exceeded. However, near
the action level, particularly as values approach the lower limit of the action level,
decision errors can have significant consequences on subsequent actions (Figure 4).
Tolerable error around the action level in this region should be no more than 10%.
Optimize the Design - The REMAP monitoring design for South Florida was revised to provide
more resource-effective information at reduced cost without compromising the DQOs for the
marsh samples.
Appendix A contains statements for data representativeness, completeness, comparability,
precision and accuracy for each of the constituents measured in the EPA Region 4 South Florida
Ecosystem Assessment Program. These quantitative DQO criteria will be revised as additional
data become available to the program.
19
-------
eaiy
-------
Attachment A
Data Quality Objective Criteria
-------
Table A1A. Data Quality Objective Criteria.
Measurement Variable
Representativeness
Completeness
Comparability
(Split Samples SOPs,
Std. Units)
Precision RPD (1)
(Colocated Samples)
Precision RPD (1)
(Lab Duplicates
"split" samples)
Accuracy
(% Spike Recovery
in SRM, blank
spikes, PE)
SURFACE WATER
Dissolved Oxygen
PH
Temperature
Conductance
Redox
Depth
Turbidity
Total Phosphorus
Total Nitrogen
Ammonium-N
Nitrite-N
Nitrate-N
Soluble Reactive Phosphate
Total Organic Carbon
Sulfate
Sulfide (2)
Alkaline Phosphatase (2)
Design-based
statistically
representative
"
"
"
"
«
«
"
"
«
«
"
"
«
«
"
"
90%
«
«
"
"
"
«
"
"
«
«
"
"
"
"
"
"
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs, SFWMD
SOPs, SFWMD
SOPs, SFWMD
SOPs, SFWMD
SOPs, SFWMD
SOPs, SFWMD
SOPs
SOPs, USGS
SOPs
SOPs
NA
NA
NA
NA
NA
NA
136
64
45
--
--
--
--
29
65
98
63
NA
NA
NA
NA
NA
NA
<20%
<20%
<20%
<20%
<20%
<20%
<20%
<20%
<20%
<20%
<20%
±0.2*
±0.2*
±0.15*
±1*
SRC
SRC
SRC
75-125
75-125
75-125
75-125
75-125
75-125
75-125
75-125
75-125
75-125
(1) For sample result >5 times the MDL
(2) Non-critical, research parameter or media introduced in Phase II
* Actual Units
RPD: Relative Percent Difference
SOPs: Standard Operation Procedures
SRC: Suitable for Relative Comparisons
-------
Table A1A. (Continued).
Measurement Variable
Chlorophyll a (2)
Total Mercury
Methyl Mercury
Representativeness
«
"
"
Completeness
«
"
"
Comparability
(Split Samples SOPs,
Std. Units)
SOPs
SOPs, Battelle
SOPs, Battelle
Precision RPD (1)
(Colocated Samples)
-
74
71
Precision RPD (1)
(Lab Duplicates
"split" samples)
<20%
<30%
<30%
Accuracy
(% Spike Recovery
in SRM, blank
spikes, PE)
SRC
75-125
75-125
PORE WATER
Total Phosphorus (2)
Ammonium-N (2)
Nitrite-N <2>
Nitrate-N (2)
Soluble Reactive Phosphate (2)
Bromide (2)
Chloride <2>
Fluoride (2)
Sulfate (2)
Sulfide (2)
Design-based
statistically
representative
«
«
"
"
«
«
"
"
«
90%
«
«
"
"
"
"
"
"
«
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
—
-
-
-
-
-
-
-
-
-
<30
<30
<30
<30
<30
<30
<30
<30
<30
<30
SRC
SRC
SRC
SRC
SRC
SRC
SRC
SRC
SRC
SRC
SOIL/SEDIMENT
Type
Thickness
Design-based
Statistically
representative
«
90%
"
SOPs
SOPs
NA
NA
<30
<30
SRC
SRC
(1) For sample result >5 times the MDL
(2) Non-critical, research parameter or media introduced in Phase II
* Actual Units
RPD: Relative Percent Difference
SOPs: Standard Operation Procedures
SRC: Suitable for Relative Comparisons
-------
Table A1A. (Continued).
Measurement Variable
PH
Redox (in situ)
Redox (lab)
Total Mercury
Methyl Mercury
Ethyl Mercury (2)
Sulfate (2)
Sulfide (2)
Total Phosphorus
Ash Free Dry Weight
Bulk Density
Mineral Content (2)
CH4 <2>
C02 (2)
Alkaline Phosphatase (2)
FLOC
Total Mercury (2)
Methyl Mercury (2)
Representativeness
«
"
"
«
«
"
"
"
"
"
"
«
«
"
"
Design-based
statistically
representative
«
Completeness
«
"
"
«
"
"
"
«
«
"
"
"
"
"
"
90%
"
Comparability
(Split Samples SOPs,
Std. Units)
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
SOPs
Precision RPD (1)
(Colocated Samples)
NA
NA
NA
83
--
121
220
--
75
--
87
--
-
--
--
--
Precision RPD (1)
(Lab Duplicates
"split" samples)
<30
NA
NA
<30%
<30%
<20%
<20%
<30
<20%
<20%
<20%
<30
NA
NA
<30
<30
<30
Accuracy
(% Spike Recovery
in SRM, blank
spikes, PE)
SRC
SRC
SRC
75-125
75-125
75-125
75-125
SRC
75-125
SRC
SRC
SRC
SRC
SRC
SRC
SRC
SRC
(1) For sample result >5 times the MDL
(2) Non-critical, research parameter or media introduced in Phase II
* Actual Units
RPD: Relative Percent Difference
SOPs: Standard Operation Procedures
SRC: Suitable for Relative Comparisons
-------
Table A1A. (Continued).
Measurement Variable
Alkaline Phosphatase (2)
Ash Free Dry Weight (2)
Bulk Density (2)
Total Phosphorus (2)
CH4 P>
C02 (2)
Representativeness
«
"
"
«
«
"
Completeness
«
"
"
"
"
"
Comparability
(Split Samples SOPs,
Std. Units)
Precision RPD (1)
(Colocated Samples)
-
-
-
-
-
-
Precision RPD (1)
(Lab Duplicates
"split" samples)
<30
<30
<30
<30
NA
NA
Accuracy
(% Spike Recovery
in SRM, blank
spikes, PE)
SRC
SRC
SRC
SRC
SRC
SRC
PERIPHYTON - Epiphytic
Total Mercury (2)
Methyl Mercury (2)
Ethyl Mercury (2)
Biomass (2)
Surface Area (% cover) (2)
Diatoms (2)
Pigments (2)
Design-based
statistically
representative
"
«
«
"
"
«
90%
"
"
"
"
"
«
SOPs, Battelle
SOPs, Battelle
SOPs
SOPs
SOPs
SOPs
SOPs
—
-
-
-
-
-
-
<30
<30
<30
NA
NA
NA
NA
SRC
SRC
SRC
SRC
SRC
SRC
SRC
PERIPHYTON - Mat
Total Mercury (2)
Methyl Mercury (2)
Design-based
statistically
representative
«
90%
"
SOPs, Battelle
SOPs, Battelle
—
-
<30
<30
SRC
SRC
(1) For sample result >5 times the MDL
(2) Non-critical, research parameter or media introduced in Phase II
* Actual Units
RPD: Relative Percent Difference
SOPs: Standard Operation Procedures
SRC: Suitable for Relative Comparisons
-------
Table A1A. (Continued).
Measurement Variable
Ethyl Mercury (2)
Biomass (2)
Diatoms (2)
Pigments (2)
Representativeness
«
"
"
«
Completeness
«
"
"
"
Comparability
(Split Samples SOPs,
Std. Units)
SOPs
SOPs
SOPs
SOPs
Precision RPD (1)
(Colocated Samples)
-
-
-
-
Precision RPD (1)
(Lab Duplicates
"split" samples)
<30
NA
NA
NA
Accuracy
(% Spike Recovery
in SRM, blank
spikes, PE)
SRC
SRC
SRC
SRC
SAWGRASS
Total Mercury (2)
Methyl Mercury (2)
Ethyl Mercury (2)
Biomass (2)
Surface Area (% cover) (2)
Design-based
statistically
representative
«
"
"
«
90%
«
"
"
"
SOPs, Battelle
SOPs, Battelle
SOPs
SOPs
SOPs
—
-
-
-
-
<30
<30
<30
NA
NA
SRC
SRC
SRC
SRC
SRC
CATTAILS
Total Mercury (2)
Methyl Mercury (2)
Ethyl Mercury (2)
Biomass (2)
Surface Area (% cover) (2)
Design-based
statistically
representative
«
"
"
«
90%
«
"
"
"
SOPs, Battelle
SOPs, Battelle
SOPs
SOPs
SOPs
—
-
-
-
-
<30
<30
<30
NA
NA
SRC
SRC
SRC
SRC
SRC
(1) For sample result >5 times the MDL
(2) Non-critical, research parameter or media introduced in Phase II
* Actual Units
RPD: Relative Percent Difference
SOPs: Standard Operation Procedures
SRC: Suitable for Relative Comparisons
-------
Table A1A. (Continued).
Measurement Variable
Representativeness
Completeness
Comparability
(Split Samples SOPs,
Std. Units)
Precision RPD (1)
(Colocated Samples)
Precision RPD (1)
(Lab Duplicates
"split" samples)
Accuracy
(% Spike Recovery
in SRM, blank
spikes, PE)
HABITAT EVALUATION
Percent Cover
(presence/absence) (2)
Design-based
statistically
representative
90%
SOPs
NA
NA
SRC
MOSQUITO-FISH
Total Mercury
Length
Weight
Sex
Design-based
statistically
representative
"
"
"
90%
«
"
"
SOPs, Battelle
SOPs
SOPs
SOPs
91
-
-
-
<20%
NA
NA
NA
70-130
SRC
SRC
SRC
(1) For sample result >5 times the MDL
(2) Non-critical, research parameter or media introduced in Phase II
* Actual Units
RPD: Relative Percent Difference
SOPs: Standard Operation Procedures
SRC: Suitable for Relative Comparisons
-------
Attachment 3
ESAT SOP XXXII Standard Operating Procedures for
Sampling Water Sediment and Biota in Expansive Wetlands
-------
SOP XXXII
STANDARD OPERATING PROCEDURES
FOR SAMPLING WATER, SEDIMENT, AND BIOTA
IN EXPANSIVE WETLANDS
Prepared by:
Biological Assessment Team
ManTech Environmental Technology Inc.
Athens, Georgia
For:
U.S. Environmental Protection Agency
Region 4
Athens, Georgia
1996
(Revised August 2000)
Contract No. 68-D6-0004
DCN: ESAT-4B-6000
-------
This document is to serve as an "operations manual" for staging and executing sampling events
in expansive wetlands containing remote sampling stations that require boats, airboats,
helicopters for access. Outlined in the document are schedules of daily activities for both the
field and a near-site laboratory, or base of operations, as well as lists of materials and supplies
needed to carry out large-scale sampling events. A set of detailed procedures for collecting and
processing samples is also included. Emphasis has been placed on sampling low levels of
mercury. Included in the detailed procedures are guidelines for labeling, packaging, shipping,
and tracking samples. QA/QC measures (when applicable) are appended to each procedure.
Table of Contents page
Daily Schedule1 3
Equipment list for Deep Channel/Canal Study 4
Equipment List for Marsh Study 6
Field Sampling Routine - Marsh Study 8
Stepwise Field Sampling Protocol (Everglades 1999) 11
Field Data Sheet 14
Container Charts (Everglades May/September 1999) 15
FORMS (Field Operations Record Management System) Setup 24
Detailed Procedures:
Hydrolab (basic calibration) 25
Sampling Water 27
Preparation and Analysis of Sulfide Syringe Samples 29
Sampling Chlorophyll and Particulates 31
Sampling Sediment 32
Sampling Phytoplankton 33
Sampling Fish 33
Downloading GPS Unit 35
Processing Sediment 36
Labeling and Packaging 38
Shipping Samples 39
Turbidity Test 40
Alkaline Phosphatase Test 41
Sulfide Test 43
Actual schedule and sampling routine may vary based on the specific goals of a project.
-------
DAILY SCHEDULE (example)
0600-0630 Technical Support Personnel Arrive
Calibrate Hydrolab (s) (p. 12)
Pack sampling equipment and supplies (p. 3 or 5)
Disconnect GPS from charger and pack instruments (p. 3 or 5)
0715-0730 Field Personnel Arrive
Load equipment and supplies into van/truck for transport to helicopter/boat
Field team loads personal equipment (see p. 3 or 5)
0800 Load Equipment and Supplies into Helicopter/Boat
Field team departs for field
Support team returns to the laboratory (base).
0830-1730 Sampling and Support Activities
Field team collects samples
Support team Services and repairs field equipment
Finishes bench-top analyses of water samples from previous day
Finishes labeling/packaging samples from previous day (p. 27)
Ships samples from previous day(s) (p. 29)
Assembles packs of sample containers for next day
1730-1830 Post-sampling Activities
Unload helicopter/boat and transport samples/equipment/supplies back to base
Verify and then turn in Field Data Sheets (p. 10)
Add preservative to samples if necessary
Download information from GPS Unit(s) (p. 25)
End-calibrate Hydrolab(s)
Field team leaves when tasks are completed
1730-2130 Support Activities
Generate FORMS labels for newly collected samples
Start labeling samples
Process sediment samples (p. 26)
Perform bench-top analyses on water samples (pp. 30-33)
Support team leaves when tasks are completed
-------
EQUIPMENT CHECKLIST - DEEP CHANNEL/CANAL STUDY
HELICOPTER/BOAT
LOAD OUT BY: DATE: CREW
TRIP BOX
EXTRA PUMP
LARGE DARK GARBAGE BAG
PAPER TOWELS
EXTRA LATEX GLOVES
EXTRA SHOULDER LENGTH GLOVES
PENCIL BOX
BAG OF SEDIMENT CUPS
SPOON (for mixing sediment)
PENCIL BOX
PENS, MARKERS, PENCILS
ELECTRICAL TAPE
WHITE LABEL TAPE
MESSENGER (for Ponar)
2 ROLLS FILM - NUMBERED
SMALL ZIPLOCK BAGS FOR SPIDERS
QUICK-RELEASE PLASTIC "TIES"
EXTRA SYRINGE & FILTER HEAD
CHLOROPHYLL & PARTICIPATES KIT
2 SYRINGES
2 FILTER HEADS
CUP OF FILTERS
FORCEPS
BAG OF MICROFUGE TUBES
CELLOPHANE TAPE
8 SAMPLE PACKS
4 SEDIMENT SPECIMEN CUPS
1 GLASS VIAL(for particulates)
1 PAIR LATEX GLOVES
1 PAIR LATEX GLOVES AND SHOULDER GLOVES
2-125 ML NALGENE BOTTLES
1 STORMOR
SMALL ZIPLOCK BAG WITH 2 NYTEX SCREENS
SMALL ZIPLOCK BAG FOR FISH
-------
METAL CLIPBOARD/FOLDER
FIELD DATA SHEETS
MAPS OF STATIONS
LIST OF PHONE NUMBERS
COLLECTING PERMITS
GPS COORDINATES LIST
TEFLON BOTTLE COOLER
(8) 2 LITER TEFLON SAMPLE BOTTLES
TRIP BLANK
INSTRUMENT BOX (unload contents into chopper, leave box)
GPS UNIT
CALIBRATED HYDROLAB W/ STIRRER
HAND HELD 2-WAY RADIO
CAMERA
MISC.
SMALL COOLER W/ ICE (for fish ) and DARK BOTTLE (for chlorophyll)
VACUUM CHAMBER W/ PUMP, TUBING, AND SCREENING APPARATUS
FISHNET
GLASS PAN
PETIT PONAR W/ROPE
PERSONAL GEAR
FLIGHT HELMET
NOMEX FLIGHT SUIT
NOMEX FLIGHT GLOVES
CHEST WADERS
SUNSCREEN
HAT
FOOD AND DRINK
FIRST AID KIT
VAN: TRIP CLIP TEFLON INSTR FISH SYRINGE KIT
-------
EQUIPMENT CHECKLIST - MARSH STUDY
HELICOPTER/BOAT
LOABOUT BY DATE CREW
TRIP BOX
EXTRA PUMP
LARGE DARK GARBAGE BAG
PAPER TOWELS
EXTRA LATEX GLOVES
EXTRA SHOULDER LENGTH GLOVES
10 SEDIMENT BUCKETS WITH LIDS
2 EXTRA 125ML NALGENE BOTTLES
2 EXTRA SEDIMENT CUPS
PENCIL BOX
PENS, MARKERS, PENCILS
ELECTRICAL TAPE
WHITE LABEL TAPE
2 ROLLS FILM - NUMBERED
SMALL ZIPLOCK BAGS FOR SPIDERS
QUICK-RELEASE PLASTIC "TIES"
10 EXTRA NYTEX SCREENS
MESSENGER WEIGHT (for Ponar Dredge)
SUNGLASSES
10 SAMPLE PACKS
3 PERIPHYTON SPECIMEN CUPS
1 PAIR LATEX GLOVES
1 PAIR LATEX GLOVES AND SHOULDER GLOVES
2-125 ML NALGENE BOTTLES
1 STORMOR
SMALL ZIPLOCK BAG WITH 1 NYTEX SCREEN
SMALL ZIPLOCK BAG FOR FISH
1 125 ml SULFIDE TEST BOTTLE
METAL CLIPBOARD
FIELD DATA SHEETS
MAPS OF STATIONS
LIST OF PHONE NUMBERS
COLLECTING PERMITS
GPS COORDINATES LIST
TEFLON BOTTLE COOLER
(10) 2 LITER TEFLON SAMPLE BOTTLES
TRIP BLANK
-------
SEDIMENT COOLER
GLASS PAN
2 SHORT CORING TUBES
2 LONG CORING TUBES
TEFLON SPATULA
BOTTLE BRUSH
METRIC RULER
1 SOIL PROFILE EH PROBE W/ CONTROL BOX
EXTRA CLIPS FOR EXTENSION POLES
2 STOPPERS
2 PLUNGERS
1 HANDLE BAR
INSTRUMENT BOX (unload contents into chopper, leave box)
GPS UNIT
CALIBRATED HYDROLAB W/ STIRRER
HAND HELD 2-WAY RADIO
CAMERA
MISC.
SMALL COOLER W/ ICE FOR FISH
BLACK CASE W/ pH METER AND REFERENCE ELECTRODE
VACUUM CHAMBER W/ PUMP, TUBING, AND SCREENING APPARATUS
1 LONG AND 1 SHORT FISH NETS
2 ALUMINUM CORE CAP
4 STAINLESS STEEL EXTENSIONS AND HANDLES
12 FEET OF SECTIONAL MEASURING ROD
ANCHOR AND ROPE
PERSONAL GEAR
FLIGHT HELMET
NOMEX FLIGHT SUIT
NOMEX FLIGHT GLOVES
CHEST WADERS
SUNSCREEN
HAT
FOOD AND DRINK
FIRST AID KIT
MASK AND SNORKEL
VAN: TRIP CLIP BLK CASE TEFLON SED INSTR FISH
-------
FIELD SAMPLING ROUTINE
The following routine is an example of a routine designed for sampling water, sediment, and
biota at remote sampling sites using a helicopter. The routine is fairly rigid, due to the priority
consideration given to clean sampling protocols, although the actual order in which samples are
taken is somewhat flexible1. All tasks are divided between a crew of two samplers. A sampler in
the front seat of the helicopter usually operates the GPS equipment. The sampler in the back seat
tends all sample containers (in two ice chests), operates the water sampling equipment and
records data. Sediment and fish sampling equipment is stored in the rear compartment of the
helicopter. The actual sampling is done from the pontoon of the helicopter.
Sequence:
1. Give helicopter pilot co-ordinates for each sampling station for the day before taking off.
2. Navigate to within 0.5 mile of sampling site using helicopter GPS. Then pinpoint the
exact location of the site with the portable GPS and set down. If it is unsafe to land
(pilot's decision), move to the nearest landing site with similar habitat where it is safe to
land.
3. Upon landing, log GPS co-ordinates electronically and write co-ordinates on the Field
Data Sheet (p. 10).
4. Fill in basic information on the Field Data Sheet (date, pilot's name, investigators' name,
which investigator is crew chief, if water field blank will be taken, if duplicate samples
will be taken, Eh probe #, Hydrolab #, camera model).
5. Fill in appropriate information on the marquee (station #, date, and film roll #) and
photograph marquee (see Fig. 1 below). Write the frame number of the photograph on
the Field Data Sheet.
1 The actual type and number of samples collected will be determined by the
specific goals of the project.
-------
6. Take ground-level photograph of the sampling site. Write the frame number on the Field
Data Sheet.
7. Sampling: Integrate the execution of the following tasks in an order that enables the
tasks to be completed by two investigators simultaneously while maintaining a clean
technique.
Setup vacuum chamber and collect water samples. Classical first followed by trace level
mercury samples, (p. 15).
Insert Eh probe into sediment (marsh study only) and start timing. Hook up reference
electrode to switch box (attached to the probe) and then connect switch box to a meter
(see Fig 1. below). After 15 min. read and record (on Field Data Sheet) Eh's displayed
on the meter, switching the dial on the switch box to read the Eh at five predetermined
depths in the sediment.
Collect chlorophyll and particulates samples (deep channel/canal study only) (p. 18).
Collect surface water sulfide samples.
Insert Hydrolab probe beneath the surface of the water (marsh study), measure and
record (on Field Data Sheet) temperature, pH, conductivity, dissolved oxygen, and redox.
For channel/canal studies, measure and record same water parameters at 1 foot intervals
to construct a profile for the water column.
Insert porewater sampler and collect nutrient and sulfide samples.
Collect soil cores and retain and collect the floe samples from the water column off the
top of the core (p.20). Take a photograph (soil type) of at least one sediment core while
-------
it is still in the coring tube (marsh study only). Record frame number of photograph on
Field Data Sheet.
Collect periphyton and/or macrophyte samples, (marsh study only) (p. 22).
Collect fish (p. 23).
8. Pack samples and equipment for transport.
9. Fill in remaining blanks on Field Data Sheet (weather, number and type samples
collected, vegetation type etc.) No blanks should remain. Both team members check and
sign.
10. Depart. At an altitude of approximately 100', take an aerial photograph of the sampling
site. Record the frame number of the photograph in the Field Data Sheet.
QA/QC
1. Review Field Data Sheet before leaving sampling station. Leave no blank spaces.
2. Before leaving sampling site, both investigators must review the Field Data Sheet(s) for
completeness and accuracy and then sign them.
10
-------
STEP WISE FIELD SAMPLING PROTOCOL (Everglades 1999)
ALWAYS WEAR GLOVES DURING SAMPLING
RECORD LATITUDE AND LONGITUDE
TAKE ONE FIELD BLANK PER DAY PER HELICOPTER
(Label with station, date, time, and helicopter #)
Take photos of station ID and landscape
SURFACE WATER SAMPLES:
VACUUM PUMPED SAMPLES: Use new nitex screen at each station
Pump 2 liter poly 1A full to rinse 2 liter poly bottle
Pump 2 liter poly (l/2 to % full, enough to rinse each bottle 3 times and fill it)
fill 1-125ml poly (TP/TOC/TN, Turbidity & AP, selected anions)(l-white & blue)
fill 1-125 ml poly (green) (SO4 and selected anions)
fill 1-125 ml poly (green) (TP, TOC)*
fill 1- 8oz glass and preserve (TKN, NO2, NO3) (green & red)*
Put on shoulder length gloves over regular vinyl gloves.
Record Teflon Bottle Number and Pump 2 liter Teflon full
Pump a second Teflon bottle*
Place full Teflon Bottle in ziploc bag and place in dark plastic bag in cooler
SULFIDE SAMPLE:
Attach syringe to the side port of the 3-way valve on the pre-preserved syringe
Remove protective cap from syringe
Place syringes under water and pull sample through side port to remove air from tip of syringe
Keeping tips of syringes under water, turn valve to off position on side port (arrow will point to
side port) and pull sample into pre-preserved 60 ml syringe
Turn "off valve back to 60 ml syringe, remove from water
Cap syringe, remove side port syringe, and place sample in sulfide box.
FILTERED GF/F NUTRIENT SAMPLES: (120 ml syringe)
Fill syringe with surface water, attach filter, rinse filter and bottle 3 times
(refill syringe as needed and add new filter and rinse 3 times as needed)
fill 1-60 ml poly (nutrients)(white)
fill 1-60 ml poly (green & red), preserved in the lab (Ammonia) (H2SO4) *
fill 1-60 ml poly (green) (NO2,NO3,PO4)*
PLACE ALL FILTERED SAMPLES ON ICE
DEPLOY HYDROLAB AND RECORD DATA
MEASURE WATER, FLOC, SOIL DEPTH AND RECORD
DEPLOY Eh PROBE AND SET TIMER (record after 15 minutes)
POREWATER:
Set out "sippers". Fill 60 ml syringe with 30 mis of surface water and flush filter & bottle 3X,s
11
-------
Fill syringe with 30 mis of porewater
Flush filter and bottle with 10 mis porewater
fill 1-30 ml poly (Nutrients)(white) with remaining 20 mis porewater
Attach pre-preserved syringe to "sipper" tube, purge air with extra syringe attached to
side port as with surface water, close off side port and
fill 1-60 ml pre- preserved syringe with 30 mis pore water (for H2S)(blue & red)
fill 1-30 ml poly (green) Filtered nutrients (without NH4), use 10 mis for rinse*
PLACE ON ICE
PERIPHYTON (floating mat): fill 1 (32oz) bucket in field
Note on the field sheet if it is the dominant type
If mats are present take "cookies" with cutter (enough to fill a 4 oz cup if possible)
and record the actual number of cookies in the cup. Volume/wt ratio and
AFDW
PERIPHYTON (epiphytic): fill 1 (32oz) bucket in field
Note on the field sheet if it is the dominant type
PERIPHYTON (soil mat): fill 1 (32oz) bucket in field
Note on the field sheet if cup is from soil mat
FLOC:
Before removing the sediment core from the tube pour the H20 and floe into the Imhoff Cone
and allow the floe to settle while processing the soil cores (3 core total). Fill one 500ml
storemore with concentrated floe.
SOIL:
Place 3 cores (top 10cm of soil) in a plastic bucket and seal. Collect more cores if needed.
FISH:
Collect 2 small bags of 15 fish each (Collect full compliment in order of priority) (When
QA/QC sample is taken, it will take precedence over USGS sample)
IbagforFIU(HgT)
Collect l-2oz. pre-preserved (10% Formalin) jar of 20 fish.
1 bag for USGS (Isotope analysis)
lbagfarEPA(Hg!)*
FLAG STATION
MAKE SURE ALL BLANKS ON FIELD DATA SHEET ARE FILLED IN BEFORE
LEAVING THE STATION!
TAKE AERIAL PHOTO OF STATION
*BOLD, ITALICIZED LETTERING INDICATES SAMPLES TAKEN AT "DUPLICATE
STATIONS".
COLLECT DAILY CHAMBER BLANKS IN THE LAB
12
-------
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-------
FORMS SETUP
FORMS (Field Operations Record Management System) software is used to generate labels and
chains-of-custody for all samples. Familiarity with the FORMS program is required.
Equipment Required:
Computer with FORMS software installed.
Labels for Lazer printer (3 V^'x 15/16" computer labels).
Sample Tags numbered in sequential order.
Log books.
Information Required to Setup FORMS:
Project number (if samples will be sent to the Region IV BSD laboratory).
A list of sampling stations complete with station identification #'s (see below).
Type of samples to be collected (water, sediment, periphyton ...etc).
List analyses to be performed on each sample type (THG, TOC, MeHg etc).
Name of each laboratory analyzing samples.
Which stations will require duplicate samples (eg. any station # ending in "0" ).
Which analyses and stations will require an additional QA sample (eg. stations ending in "3").
List of laboratories that will be performing QA analyses.
rmat for sample identification #'s:
PI-XXX-MTA
PROJECT IDENTIFICATION
EXAMPLES:
Ml = MARSH STUDY # 1
M2 = MARSH STUDY # 2
C4 = CANAL STUDY # 4
STATION NUMBER
001-999
MT= MATRIX TYPE
EXAMPLES:
SW = SURFACE WATER
BW = BOTTOM WATER
SD = SEDIMENT
PF = PERIPHYTON FLOATING
PS = PERIPHYTON SOIL
HI = HELICOPTER 1 BLANK
H2 = HELICOPTER 2 BLANK
HB = HELICOPTER BLANK
BB = BOAT BLANK
OTHER IDENTIFIER
EXAMPLES:
A = ATHENS BSD
B = BATELLE
F=FIU
Example 1:
M2-001-SWA
Marsh Study #2
Station #001
Surface Water Analyzed by Athens BSD
23
-------
BASIC CALIBRATION - HYDROLAB SCOUT 2
Refer to diagram of Scout 2 display unit panel keys (below)
fc:K<'ir'a'^r::-^>iai^-..^-..^^..
-------
F. Press either the right or left arrow to change No to Yes.
G. Press Enter. The unit is now calibrated to the standardizing solution.
H. Remove cup from sonde, rinse probes with deionized water, attach next
standardizing solution and repeat steps 4 A thru H.
5. After calibrating to pH 7.00, calibrate to pH 10.00, then simply read and record the value
for pH 4.00(or vice versa) (see attached HYDROLAB CALIBRATION FORM p. 14).
(Note: if necessary, standardizing solutions can be reused for 4-5 days)
6. Next calibrate to a conductivity of 718 via steps 4 A thru H, then read and record the
value for the solution with a conductivity of 1413. (Note: Do not reuse solutions)
7. Calibrate to Redox solution A via steps 4 A thru H, then read and record value for Redox
solution B. (Note: the values for Redox solutions A & B will vary each time the
standards are made, but the exact value for each standard is always marked on the bottle;
the solution can be reused for 4- 5 days).
8. Draw chlorine-free water from a 5 gal. bucket, perform two Winkler titrations, and record
the mg/1 DO for each titration (see HYDROLAB CALIBRATION FORM).
9. Attach the stirrer to the end of the sonde, immerse the probes in the bucket of chlorine-
free water, wait (several minutes) for the DO reading to stabilize, and then follow steps 4
A thru H as before.
10. Remove the sonde from the bucket of water. While exposed to the air, follow steps 4 A
thru H to calibrate Depth to 000.0.
11. When all calibrations are completed, disconnect stirrer, reattach cup of tap water, and
turn OFF the unit.
*For more detail and for servicing refer to instrument manual.
25
-------
SAMPLING WATER
Water samples are usually collected by submerging an open sample container beneath the surface
of the water. However, when collecting water for low-level mercury analysis, samples are best
collected with the aid of a vacuum apparatus ( see Fig. 1 below) consisting of a vacuum
chamber, teflon sampling wand, and a hand pump.
Procedure:
1. Wearing latex gloves, drop an uncapped 2L polypropylene bottle into the vacuum
chamber and secure the chamber lid by attaching the spring-loaded clamps.
2.
Place a fresh square of Nitex® screening over end of sampling wand and secure with the
magnetic ring (Fig. 2). Insert head of wand beneath surface of water and tie shaft of
wand to pontoon of helicopter or to gunwale of boat (strap is provided).
Squeeze the hand pump until liquid starts to fill the bottle. When water level in bottle is
about an inch deep, release the vacuum, remove the bottle, discard the water ( swirling
the water to rinse the bottle as you dump), and replace the bottle in the vacuum chamber.
Begin pumping again. When bottle is 3/4 full, release the vacuum, remove from
chamber, and cap.
26
-------
5. From the 2L polypropylene bottle, fill labeled sample containers with classical nutrient
samples, making sure to rinse each bottle three times with water from the 2L bottle
before filling.
500 ml Storemore® bottle
125 ml polypropylene bottles with screw caps
6. Place filled nutrient sample containers in a clean cooler for transport.
7. When sampling for trace level mercury, wear shoulder-length polypropylene gloves (over
latex gloves), remove 2L Teflon® bottle from its protective Ziploc® bag, record on a
Field Data Sheet (see p. 10) the bottle number etched near the top of the bottle, and then
carefully mark the station number on the colored label attached to the bottle using
waterproof marker.
8. Uncap the Teflon bottle and place bottle and cap into vacuum chamber. Secure the
chamber lid and begin pumping.
9. Fill this bottle to overflowing, then release the vacuum, cap tightly, and return bottle to
its protective bag.
10. Place bottle and bag in a clean cooler for transport.
QA/QC
1. Wear latex gloves when handling polypropylene sample containers.
2. Wear polypropylene gloves over latex gloves when handling Teflon sample containers.
3. Store Teflon bottles in a Ziploc® bag before and after collecting the sample, which in turn is
stored in a clean cooler lined with a clean plastic trash bag.
4. Use only Teflon bottles that have been specially cleaned (FIU procedure).
5. During transport from the field, store all samples in a ice chest (lined with a plastic garbage
bag) for protection.
27
-------
PREPARATION AND ANALYSIS OF SULFIDE SYRINGE SAMPLES
Mated al s/suppli e s
60 ml plastic syringes with leur-loc tip
ZnAcetate solution
6N NaOH solution
3-way valves with leur-loc
Rack to hold syringes upright.
Procedure:
1. Remove cap from tip of syringe and then plunger and set parts aside on a "clean
surface."
2. Attach 3-way valve to tip of syringe and turn stopcock on valve to block opening
to the syringe. Place the syringe open end up in a rack.
3. Prepare a fresh batch of preservative by mixing 30 ml of ZnAcetate and 20 ml of
6N NaOH in a 60 ml polyethylene bottle. A precipitate (ZnOH) will soon form.
Just before use (step 4 below) shake the bottle vigorously for a few seconds to
evenly suspend the precipitate.
4. Transfer 0.5 ml of preservative to syringe.
5. Reinsert plunger, invert syringe (tip up), rotate stopcock on 3-way valve to open
passage from the syringe, and carefully expell air, leaving only preservative in the
syringe.
6. Close stopcock opening to the syringe, replace cap on the tip of the 3-way valve.
The syringe is now ready for the field where the sample is taken.
7. The syringe is delivered to the laboratory with the preserved sample and the
analyst pairs the surface and porewater samples and checks the pH.
8. If the pH is <10, drops of 6N Sodium Hydroxide are placed into the valve side
port and the valve set to allow the analyst to draw the NaOH into the sample.
Once the samples have a pH >=10, the syringes are stood upright for at least 30
minutes, but typically allowed to stand overnight.
9. After settling, the volume of supernatant is expelled from the syringe, and the
same volume of DI water is drawn into the syringe. This step removes
interferences from the samples, but retains the original concentration. The sample
is now ready for analysis.
10. Each sample is matched with a pair of cuvettes. One cuvette will contain 25 ml
of DI water as a blank, while the other cuvette will contain 25 ml of sample. The
cuvette pairs are placed on sheets of paper identifying the run order.
28
-------
11. The Hach DR/2010 Spectrometer is turned on, and analysis program 690 is
recalled. If necessary, the wavelength dial is set to 665 nm. The analysis begins
by adding 1 ml of Reagent 1 to each cuvette.
12. The reagent and the water in each cuvette are mixed using transfer pipets. Then 1
ml of Reagent 2 is added to each cuvette and the analyst then starts a 5 minute
countdown timer and mixes using the transfer pipets.
13. The blank cuvette is placed in the meter reading chamber and after 5 minutes the
analyst presses the zero button on the meter. The meter display will blink and
indicate the meter is zeroing.
14. When the blinking stops, the analyst removes the blank cuvette and replaces it
with the sample cuvette. The meter will then display the measured result of the
sample.
15. The analyst will store the result by pressing the store button and confirming the
operation by pressing the enter button. The sample may now be disposed.
16. Following analysis of all samples the stored values are downloaded from the
analyzer.
29
-------
SAMPLING
CHLOROPHYLL and PARTICULATES
Required supplies
140 ml plastic syringe
47mm 0.45 ^ membrane filters
filter holder for 47 mm filters
Procedure
1. Draw site water into syringe and expel to rinse syringe.
2. Draw water into syringe again and attach filter holder containing a fresh filter (see Fig. 1
below).
3. Apply steady pressure to the plunger to force the entire volume of water in the syringe
through the filter.
4. Disconnect filter holder and repeat steps 2 and 3. Ideally, a total of three volumes of
water should be filtered. This is not always physically possible. If filter becomes totally
clogged before filtering three volumes, record the actual volume filtered.
5. After filtering three volumes of water (or less if the filter becomes totally clogged),
remover the filter from the holder with clean forceps and stuff the filter into a microfuge
tube (or small glass vial) and cap. This is the chlorophyll sample. Store on ice in the dark
for transport.
6. Repeat steps 2-4, remove the filter from the holder with forceps, place in a glass vial,
cap, and store for transport. This is the particulates sample.
7. In the laboratory, fill each microfuge tube with acetone and store at 4°C to await
chlorophyll analysis.
QA/QC
1. Wear latex gloves while collecting samples.
2. Do not apply excessive force to the plunger of the syringe. Excessive force can rupture the
membrane filter.
30
-------
SAMPLING SOIL
DEEP CHANNELS AND CANALS
1. Collect and lift sediment to the surface with a Petit Ponar dredge.
2. Homogenize sediment in a "clean" glass pan with a "clean" stainless steel or teflon-
coated spoon.
3. Spoon sediment into labeled containers.
4. Store sediment samples in a cooler for transport.
MARSHES
1. Collect soil/sediment samples using the coring device pictured below (Fig. 1).
2. Collect three cores at each sampling station. Pore the floe trapped in the core top into a
separate container. Place the soil core samples in a 1-gallon plastic bucket with a tight-
fitting lid. Keep only the top 10 cm of sediment from each core. A plunger (provided) is
used to extrude longer cores from the coring tube until only the top 10 cm of core remain.
3. Do not homogenize sediment cores in the field. Store gallon containers for transport and
then process sediment in the laboratory at the end of the day (see SEDIMENT
PROCESSING p. 26).
QA/QC
1. Wear latex gloves while collecting and handling sediments.
2. Keep clean glass pans and stainless steel spoons wrapped in foil until needed.
3. Rinse coring device with site water before collecting cores.
4. Take a photograph of one of the three cores while still in the coring tube.
31
-------
PERIPHYTON COLLECTION
Mat Samples
1. Soil periphyton mat is collected off the top of all soil core samples taken at a site and
placed in a 500 ml plastic container.
2. Floating periphyton mat samples are collected with a stainless steel "cookie cutter" with a
plexiglas sheet placed under the mat. The cutter and soil core sampler both have the
same 3-inch diameter. The periphyton from atleast 3 samples is placed in a 500 ml
plastic container.
3. Cap and store at ambient temperature for transport.
4. Upon returning from the field, process and freeze samples.
Epiphytic Samples
1. Periphyton samples were collected from concentrations which were epiphytic on
Utricularia where both occurred together. The sample was placed in a separate 500 ml
plastic container.
2. Cap and store at ambient temperature for transport.
3. Upon returning from the field, process and freeze sample.
QA/QC
1. Wear latex gloves while collecting samples.
2. Keep frozen until analyzed.
FISH COLLECTION
Freshwater Marshes/Canals
The target species for freshwater marshes is the mosquito fish Gambusia sp. These small
ubiquitous fish are found throughout weedy areas of a marsh and along the edges of canals and
deep channels. They congregate around the pontoons of a helicopter or the hull of a boat and are
easily collected with a "clean" dip net. The fish are handled with latex gloves., placed in a
Ziploc® bag, and packed in ice for transport back the laboratory. In the laboratory the fish are
frozen until they are processed for analysis. For low-level mercury analysis a minimum of 20
fish is required and a an additional minimum of 20 fish were collected for stomach analyses.
Saltwater Marshes/Tidal Creeks
The target species for saltwater marshes is the mummichog Fundulus heteroclitus. The
distribution of these small, ubiquitous fish in the salt marsh is influenced by the daily cycle of
the tides. The following procedure has proven successful in locating and collecting this species:
32
-------
1. Starting about 2 hours after high tide, locate small, V-notched channels (< 10 feet across) that
drain the marsh grass as the tide recedes.
2. Plant a minnow trap in the bottom of the V-notch in about 2 feet of water. If the bottom of
the notch is wider than the width of the trap, plant more than one trap so that by low tide the last
of the water draining the marsh grass must pass through the trap(s) (see Fig. 1 below). Note in
Fig. 1 that the traps are secured in place by tying them (before planting) to a length of steel
conduit stuck into the mud. Set out traps at 2 to 4 small channels in the vicinity of each
sampling station.
3. As the tide recedes, return to the traps every 20 to 30 minutes to check for fish. If a trap is
exposed and does not contain fish, replant.
4. Wearing latex gloves, transfer fish from the traps to a "clean" glass jar fitted with a Teflon lid
and then store on ice for transport back to the laboratory. In the laboratory, fish are frozen until
they are processed for analysis. For organic analyses a minimum of 30 gm offish is required
(about 20 fish).
(Note: Fish can also be collected on the rising tide by planting traps in exposed V-notch
channels ahead of the rising water.)
QA/QC
1. Wear latex gloves when handling fish.
2. Freeze fish within 48 hours of collection and keep frozen until processed for chemical
analysis.
33
-------
DOWNLOADING GPS UNIT (Trimble® Pathfinder Pro)
1. Disconnect data logger and antenna from the external battery pack and then connect
external battery to charger.
2. Connect logger to computer using appropriate pigtail connector.
3. Turn "on" computer. Exit to DOS (F8). When C:\> appears, type "pfmder" and hit
ENTER. The PATHFINDER program will appear on screen. Hit Okay to accept.
NOTE: Selections are made from a menu by highlighting and pressing ENTER or by
hitting ALT followed by the underlined letter in the desired heading, (e.g. to accept
Okay, hit ALT then O).
4. Select Project and then Current files. The filename (e.g. MARSH1) should be displayed.
5. Now select Comm , highlight Data Files to PC, and then hit ENTER. Computer will tell
you that it is "Looking for data logger on COM1**
6. Turn "on" data logger. When main menu appears scroll down to selection #9 - DATA
FILE MGMT (or simply hit 9 then ENTER). Hit ENTER.
7. Now under DATA FILE MGMT select "0" TRANS SERVER and hit ENTER. (If the
computer does not indicate that it is accepting data from the logger, hit ENTER on the
logger again). A list of files will appear on the computer screen.
If you wish to download all files, hit Okay.
If you wish to download only a select number of files, first tag the files. Tagging is
accomplished by highlighting a file and then hitting either ENTER or the space bar. To
accept the tagged files, hit Okay.
The computer screen will now indicate that each file in succession is being transferred,
converted, and finally used in a calculation.
8. After all files have been downloaded onto the computer, check the file (MARSH1) to see
if they are there. This is accomplished by returning to DOS and after C:\> appears, type
pfmder\data\pfmder\ marsh 1 and hitting ENTER.
9. If all downloaded files are present, copy files to a disc by inserting a disc into A drive
and typing copy *.SSF A: and hitting ENTER. Computer will diplay name of each file
copied.
10. After files have been copied, ERASE files from data logger (select #9 then the #2 or
#3).
34
-------
PROCESSING SOIL, PERIPHYTON, AND FLOC SAMPLES
Equipment/Supplies
Osterizer 10-speed blender motor
High Density Polyethylene (HOPE) blender jars - 500 ml (48)
Polyethylene spoons (15)
"Blade assembly" (knurled base, stainless steel blades, gasket)
Deionized water supply
Graduated cylinder or cup - 100 mis
paper towels
Procedures:
Soil
1. With a PE spoon chop sample cores in the sample container once or twice and
then sniff the sample for traces of H2S. Record finding (yes/no, slight, strong).
2. After sniffing, continue to chip and mix sample core while removing large sticks,
rocks, and roots. If necessary add DI water to the sample until the mixture
becomes as slurry. Record the volume of water added.
3. Spoon mixed sample into a 500 ml HDPE jar until the jar is 3/4 full.
4. Attach blade assembly to the jar and blend for 30-60 seconds on "BLEND"
setting until the sample is thoroughly homogenized.
5. Pour or spoon the homogenized sample into labeled, 120 ml specimen cups.
Normally, there is enough sample to fill up to 5 cups !/2 to 3/4 full. (Do not fill
cups more than 3/4 full because upon freezing they may burst the container).
6. Store specimen cups for FIU-AFDW (ash-free dry wt.) at room temperature.
Store all other cups in a freezer.
Periphyton
1. Briefly chop and stir the sample with a PE spoon. If the sample is dry add DI
water until the mixture is thoroughly wet and glistening. Record the volume of
water added.
2. Spoon mixture in a 500 ml HDPE blender jar until the jar is 3/4 full.
3. Attach blade assembly to the jar and blend for 30-60 seconds on "BLEND"
setting until the sample is thoroughly homogenized.
4. Pour homogenized sample into labeled, 120 specimen cups as before.
5. Store all cups in freezer.
Floe (collected in 500 ml polyethylene bottle)
35
-------
1. Shake the collection bottle several times and then pour contents directly into a
500 ml HOPE bender jar.
2. Attach blade assembly to the blender jar and blend for 30 to 60 seconds on
"LIQUIFY" setting.
3. Pour liquified sample into labeled, 120 ml specimen cups as before filling the
cups no more than 3/4 full.
4. Store all cups in freezer.
Note: To have enough floe to fill 3 to 5 specimen cups, the floe in the bottom of the
collection should be at a depth of 1 to 1 /^ inches.
QA/QC
Wear latex gloves while processing sediment.
36
-------
LABELING AND PACKAGING SAMPLES
Required Supplies:
Sample tags
Custody seals (signed and dated)
Appropriate size clear plastic bags for sample containers
Electrical tape
Procedure:
1. After each label is generated using FORMS, place each label on a sample tag, taking special
care to match the number on the FORMS label with the number on the sample tag (see below).
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2. Have the on-site project officer or the person who collected the sample sign the sample tag in
the appropriate box (see above).
3. Seal samples if necessary. Example: water samples 500 ml Storemore® bottles should be
sealed with electrical tape stretched around the lid.
4. Tie the sample tag onto the appropriate sample container. Make sure that the suffix (matrix
type) on the sample identification # matches the sample type. Example: M2-001-SD tag is tied
to a sediment sample.
5. After the sample tag has been attached, fix a signed and dated custody seal over the lid and
onto the jar or bottle.
6. Place the sample container with tag in a clear plastic bag and seal with electrical tape. Then
place the sample in a holding container (eg. refrigerator at 4°C) or ship.
37
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SHIPPING SAMPLES
Required supplies:
Large clear plastic bags for bagging ice
Large trash bags to line shipping containers packing
Adequate number of shipping containers (e.g. ice chests) for shipping samples
Strapping tape (or Duct tape)
Procedure:
1. All shipping containers (ice chests) should be clean and dry.
2. Place samples in a plastic trash bag inside the shipping container. Add packing material such
as Vermiculite® to the bag if necessary, especially when shipping glass containers. Seal the bag
with electrical tape. Allow enough room around the bagged samples for plenty of ice, if
required, or additional packing material.
3. If ice is required, double bag all ice to insure no leakage. Take special care to insure that
there is no leaking water or moisture coming from the ice chest when shipping. Federal Express
is very particular about leaky ice chests and can and will stop shipment if a leak is detected.
Place double-bagged ice in a separate trash bag, seal with electrical tape, and place on top of
samples.
4. Put chain of custody forms in a clean dry bag and tape to the inside lid of ice chest.
5. Seal the ice chest with strapping tape. Wrap tape around each end of ice chest.
6. Place a custody seal on two opposite corners of ice chest.
7. Attach shipping weigh bill to top of ice chest. If shipping more than one ice chest to the same
location label ice chest 1 of 3, 2 of 3...etc.
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TURBIDITY TESTS
Turbidity tests are performed using an HF Scientific Inc. DRT-15C nephelometer.
Operating instructions are posted inside the lid of the instrument.
Procedure:
1. Turn machine ON.
2. Insert vial of standard (provided) into reading chamber. Slowly rotate vial until the NTV
digital readout displays a minimum value.
3. Adjust NTV readout to 0.02 by turning the appropriate knob on the machine. Remove
standard. Machine is ready to read samples.
4. Mix sample by inverting 125 ml sample bottle 6-8 times. Immediately pour sample into
clean vial (provided) and insert into reading chamber. Read NTV display and record.
Notes:
Wipe vials clean of fingerprints and dirt before inserting into reading chamber.
Read two subsamples (replicates) of each sample.
Keep sample well mixed between replicate readings.
Between samples, rinse vial with dH2O and then with an aliquot of the next sample.
39
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ALKALINE PHOSPHATASE ASSAY
1. Switch fluorometer (Guilford Fluoro IV model 1452 x 11) and printer "on" to warm up.
2. Remove reagents (MF and MFP) from freezer and hold in hand or put in pocket to warm
to room temperature. PROTECT FROM LIGHT!
MF (ImM MF reagent in methanol) is used to generate standard curve (step 6).
Stored in glass scintillation vial.
MFP (ImM MFP in 100 ml Tris buffer ph = 8.7) is added to samples (step 7).
Stored in plastic microfuge tube.
3. Pipette 3 ml Trizma buffer into each of 4 clean styrene cuvettes.
4. Set machine to read APtase. Start by placing one of the above cuvettes (from step 3) in
position #2 in the machine (slide positioning lever to the 2 position).
a. Set wavelenth
Press "2" ENTER
excitation 430 ENTER
emmision 507 RETURN
b. Set response time
Press "3.5" ENTER
4 RETURN
c. Calibrate machine (w/ cuvette still in position #2)
Press "Calibrate" and wait for number to appear.
Press "3.2" ENTER
425 RETURN (sets high voltage)
5. Move cuvette (and positioning lever) to position #1
Press "Read Print" and see if readout (on printer) is zero.
If not, press "Autoblank" until it reads zero.
6. Prepare standard curve.
To the 4 cuvettes containing 3 mis Trizma buffer (from step 3) add:
add 3.0 jA MF to 1st tube, mix w/ transfer pipette, "Read Print"
add 7.5 (A MF to 2nd tube,
add 15 jA MF to 3rd tube, " " (continued on next page)
add 30 ^1 MF to last tube
(30 iA MF standard should read between 121.8 and 133.8)
Fill-out log book
40
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Run samples
Add 3 mis sample to a cuvette
Add 30 {A MFP to cuvette, mix w/ transfer pipette, "Read Print"
Place tube in incubator for 2 hours (minimum)
Read again.
(Note: for more than one sample, cuvettes are not labelled individually but are arranged
in cuvette box sequentially)
41
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INTERSTITIAL SOIL WATER SAMPLING PROTOCOL:
SOUTH FLORIDA ECOSYSTEM ASSESSMENT PROJECT
(PHASE II) REMAP
by
Jerry Stober and Phyllis Meyer
USEPA, Region 4, SESD, Ecological Assessment Branch, Athens, Ga
and
Leonard Scinto and Ron Jones
Southeast Environmental Research Center, Florida International University, Miami, Fl
Introduction
A component of the Everglades Ecosystem Assessment (Phase II) will include
experimental sampling of an array of interstitial soil (porewater) water samples at each spatially
distributed randomized site. Approximately 125 sites will be sampled during the May (dry
season) and another 125 sites will be sampled during the September (wet season) survey. This
protocol has been modified from that developed by L. Scinto and R. Jones, FIU/SERC for the
SERC Flume Project.
Objectives
1. To modify and implement (in research mode) an interstitial soil water sampling
protocol which is compatable with the ecosystem scale REMAP probability sampling design.
2. To determine the extent and magnitude of an array of interstitial soil water nutrients
(NH4, NO2, NO3, PO4), selected anions (Cl, Br, etc.), and sulfide.
3. To establish a baseline porewater condition against which future monitoring and
assessment can be compared.
4. To explore the existence and significance of porewater spatial gradients.
5. To determine associations among porewater gradients and surface water gradients
taken at the same time.
6. And, to determine, associations among constituents in porewater, surface water, soil
and plant indicator species responses occurring in the ecosystem.
Protocol
Water Sample Containers
Soil interstitial water (SI) is collected into clean 30 ml high-density polyethylene
(HOPE) bottles (Nalgene #2089-0001-Fisher Scientific, FS# 03-313-2A).
Soil Interstitial Water Collection
The soil interstitial water is collected via a soil interstitial water sampler (Sipper).
Sippers consist of a filter (nominal porosity = 60 um) (Porex 6810, Interstate Specialty Products)
held onto a male slip connector (Cole-Parmer #E-06359-05) with telfon tape. The slip connector
42
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is attached to a hollow tube (1/16" ID x 1/8" OD, Tygon, FS# 14-169-1B) approximately 65 cm
in length, the distal end of which is connected to a capped female luer fitting (CP#E-063 59-25).
An array of five stainless steel sippers will be installed to a maximum depth of 10 cm with
individual insertion tools for each. The array will be positioned so that the distance between
sippers is not less than 30cm. The insertion tool is the primary modification on the original
method to provide a fixed depth insertion with an associated soil surface sealing flange. The
sipper and insertion tool will remain in place until each sample has been collected. The insertion
tool is also designed with water tight extensions to 120cm to prevent surface water from running
down the inside of the insertion tube during periods of high water.
Steps
1. Load each insertion tool with a sipper with attached tubing.
2. Locate five sites at least 30 cm apart which are relatively free of standing vegetation.
3. Press the insertion tool into the soil firmly assuring the flange is tight against the soil surface
with the flange ring imbedded into the soil. Note: A 9 cm diameter by 2.5 cm deep sharpened
ring was added to the bottom side of the flange to increase contact with the soil surface. In
addition a one way flapper valve was installed in the flange to allow surface water and gases to
exit the sampler during installation.
4. Use the insertion rod to push the sipper into the undisturbed soil 4 cm to a depth of about 10
cm.
5. Connect a syringe (60 ml) to the female luer fitting on each sipper.
6. Apply suction and pull ten ml into the syringe. The void volume of an empty sipper, with 65
cm tubing, is approximately 1.5 ml. Pulling slightly greater volumes than this assures flushing.
Disconnect syringe from luer fitting and attache a filter (Whatman GF/F, FS# 09-874-64 in
syringe filter-holder Gelman FS#09-730-2250). Filter this water into the sample bottle in three 3
ml increments as rinse water discarding each in succession. Reapply suction to collect
approximately 30 ml of pore water. If collection is difficult place binder clips on syringe such
that suction is held and allow time for sample to be obtained.
7. Extract only one water sample from each of the five sippers for NO2, NO3, PO4; NH4;
selected anions; and sulfide. Four samples will be collected leaving the fifth sipper in reserve in
case a problem develops during sampling.
8. The syringe used for the sulfide sample will be pre-loaded with a zinc acetate/sodium
hydroxide solution into which the sample will be drawn. Once 30 ml has been drawn into the
syringe it will be disconnected, capped, labeled and placed in a cooler for transport.
9. All samples will be stored on ice until returned to the laboratory the same day.
10. Soil interstitial water samples (nutrients and anions) will be stored either in a refrigerator
and analyzed immediately (<24 h) or stored frozen until analyzed (<30 d). Preserved sulfide
samples will be analyzed immediately upon return from the field.
11. If surface water depth exceeds the height of the insertion tube add extension at step 1 and
proceed as directed. The amount of water for flushing will be increased to 15 ml when the
extension is used.
12. This procedure will be repeated consistently across all randomly selected REMAP sample
sites in the ecosystem
43
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Figure 1. Porewater sampler.
Figure 2. Sampler prior to
insertion in soil.
44
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Figure 3. Design drawing of sampler.
45
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Attachment 4
Analytical Support Branch Operations and
Quality Control Manual - SESD, Region IV
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ANALYTICAL SUPPORT BRANCH
OPERATIONS AND QUALITY CONTROL
MANUAL
ENVIRONMENTAL PROTECTION AGENCY
SCIENCE AND ECOSYSTEM SUPPORT DIVISION
REGION 4
980 COLLEGE STATION ROAD
ATHENS, GA 30605
-------
DISCLAIMER
The mention of trade names or commercial products in this manual is for
illustration purposes, and does not constitute endorsement or recommendation
for use by the Environmental Protection Agency.
-------
TABLE OF CONTENTS
Section
1. INTRODUCTION 1-1
2. BRANCH ORGANIZATION AND OPERATION 2-1
3. CHAIN-OF-CUSTODY 3-1
3.1. Introduction 3-1
3.2. Sample Custody Forms 3-1
3.3. Standard Operating Procedure - Sample Receipt/Custody . . 3-1
3.4. Audit of Custody Records 3-3
3.5. Policy for Disposal of Laboratory Samples 3-3
3.6. Special Sample Handling Instructions 3-4
4. GENERAL LABORATORY PRACTICES 4-1
4.4. Laboratory Apparatus and Instruments 4-1
4.5. Laboratory Supplies 4-2
4.6. Laboratory Waste Disposal Practices 4-3
4.7. Procedures for Satellite Hazardous Waste Accumulation. . 4-7
4.8. Guidelines for Disposal of Environmental Samples .... 4-8
4.9. Handling, Storage, Disposal and Reporting Procedures . . 4-9
5. LABORATORY EQUIPMENT MAINTENANCE AND SERVICES 5-1
6 . LABORATORY SAFETY 6-1
6.1. Introduction 6-1
6.2. General 6-1
6.3. Sample Receiving and Logging 6-2
6.4. Compressed Gases 6-3
6.5. Radioactivity 6-3
6.6. Laboratory Waste Disposal Practices 6-3
7. METHODOLOGY 7-1
8. SAMPLE COLLECTION AND HANDLING 8-1
8.1. Sample Collection - Water 8-1
8.2. Sample Handling - Water 8-1
8.3. Sample Collection and Handling Other Substances 8-1
9. SAMPLE RECORDS AND DATA HANDLING 9-1
9.1. Sample Accountability 9-1
9.2. Chemical Sample Logging 9-1
9.3. Central Laboratory Sample Logging 9-1
9.4. Chemical Data Handling 9-1
9.5 Computerized Analytical Data System 9-2
10. ORGANIC ANALYSIS, PERFORMANCE QUALITY CONTROL AND ANALYTICAL
OPERATION 10-1
10.2. General 10-1
10.3. Organic Methodology 10-1
10.4. Sample Prep, of Semivolatile and Pesticide fractions . . 10-1
-------
10.5. Surrogate Standards 10-4
10.6. Internal Standards 10-8
10.7. GC Analysis 10-8
10.8. GC/MS Analysis 10-18
10.9. Extract Storage 10-29
10.10. Preparation, Storage, and Use of Organic Standards. . . 10-30
10.11. Data Reporting 10-35
11. INORGANIC ANALYSIS, PERFORMANCE QUALITY CONTROL AND
ANALYTICAL OPERATION 11-1
11.2. General 11-1
11.3. Custody 11-1
11.4. Metals 11-2
11.5. General Inorganic 11-11
11.6. QC Requirements for General Inorganic 11-11
12. PERFORMANCE QUALITY CONTROL DATA HANDLING 12-1
13. ANALYTICAL CORRECTIVE ACTIONS 13-1
14. DATA QUALITY OBJECTIVES 14-1
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LIST OF FIGURES
Page
Organizational Chart (Fig 2-1) 2-2
-------
LIST OF TABLES
List of Organic Test Procedures (Table 7-1) 7-2
Organic Method References, Region 4 Method Tracker (Table 7-2) . . 7-6
Test Name and Reporting Units (Table 7-3) 7-7
Recommended Sample Containers, Sample Preservation, Sample
Holding Times, And Permissible Sample Type (Table 8-1) 8-3
Organic Method Number and Sample Type (Table 10-1) 10-42
Standard Levels and Concentrations (Table 10-2) 10-43
Drinking Water Methods (Table 11-1) 11-4
NPDES Methods (Table 11-2) 11-6
Nutrients/Classicals Capabilities and Methods 11-13
-------
LIST OF FORMS
Chain-Of-Custody Seal (Form 3-1) 3-8
Chain-Of-Custody Record (Form 3-2) 3-9
Custody Room Sample Log (Form 3-3) 3-10
Diagram of Custody Room (Form 3-4) 3-11
Disposal Letter (Form 3-5) 3-12
Water Extraction Log Book Form (Form 10-1) 10-45
Solids/Waste Extraction Log Book Form (Form 10-2) 10-46
Tissue Extraction Log Book Form (Form 10-3) 10-47
GC Screen Log Book Form (Form 10-4) 10-48
GC/MS Log Book Form (Form 10-5) 10-49
Stock Standard Log Book Form (Form 10-6) 10-50
Stock Summary Log Sheet (Form 10-7) 10-51
GC Analysis Log Book Form (10-8) 10-52
Surrogate Recoveries Log Book Form (10-9) 10-53
Master Log GC Analysis Log Book Form (10-10) 10-54
Pesticide QC Water Data A (Form 10-11) 10-55
Pesticide QC Water Data B (Form 10-12) 10-56
Pesticide QC Soil Data A (Form 10-13) 10-57
Pesticide QC Soil Data B (Form 10-14) 10-58
Dilution Standard Log Form (Form 10-15) 10-59
MQL Guidelines for Pesticides (Form 10-16) 10-60
Vial Storage Location Form (Form 10-17) 10-61
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Section: 1
Revision: 1
Date: December 1, 1997
Page: 1
1. INTRODUCTION
1.1 This manual is designed to delineate the routine operation of the
USEPA Region 4 Analytical Support Branch. The primary purpose of this
document is to establish and maintain uniform operational and quality
control guidance for regional analytical chemistry activities, contractor
laboratory monitoring/performance, and quality assurance/quality control
activities. The establishment of, and adherence to, uniform elements of
an intralaboratory quality control program are essential to the production
of reliable analytical data.
1.2. Coordination of Region 4 quality assurance activities and likewise,
the Analytical Support Branch (ASB), rests primarily with the Region 4
Quality Assurance Officer (QAO). The functions and responsibilities of
the QAO are identified in the Region 4 Quality Assurance Program Plan.
The QAO functions as a focal point for the dissemination of information
and provides program managers with technical advice pertaining to the
development, implementation, and operation of quality assurance
activities. Implementation of agency quality assurance policies
applicable to the Analytical Support Branch laboratory is the
responsibility of the Chief, Analytical Support Branch.
1.3 While the implementation of quality assurance policy is a management
function, each individual staff person has a responsibility for the
operational aspects of the quality assurance. It is the individual
responsibility of each analyst and his/her supervisor to monitor quality
control indicators and to provide for corrective actions when necessary.
1.4 This manual and the quality control protocols described herein are
not to be viewed as all inclusive. Rather, they serve as a basic
foundation on which to build a stronger quality assurance program within
the Branch. Methodologies and some quality assurance documents are
included by reference.
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Section 2
Revision: 0
Date: August 1990
Page 1
2. BRANCH ORGANIZATION AND OPERATION
2.1. The Analytical Support Branch organizational structure is shown in
Figure 2-1.
2.2. The Branch is a technical support activity with the following
functions:
2.2.1. Provides chemical laboratory services in support of all
regional program needs.
2.2.2. Provides consultation and assistance to local, State, and other
agencies in matters of analytical methodology and laboratory quality
assurance.
2.2.3. Provides personnel as regional representatives to national
programs relating to selection, validation, and promotion of the use
of official EPA analytical methods.
2.2.4. Participates in national and regional interlaboratory method
evaluation studies.
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Section: 2
Revision: 1
Date: December 1, 1997
Page: 2
SCIENCE AND ECOSYSTEM
SUPPORT DIVISION
OFFICE OF
QUALITY
ASSURANCE
GARY BENNETT
ANALYTICAL SUPPORT
BRANCH
CHARLES HOOPER
INORGANIC CHEHISTE
SECTION
JENNY SCXFRES
ORGANIC CHEMISTRY
SECTION
BILL HCDANIEL
RUSSELL WRIGHT, DIRECTOR
ALLAN ANTLEY, DEPUTY DIRE
TECHNICAL ADVISOR (SEE)
LEAD REGION COORDINATOR
REGIONAL SCIENTIST
ENFORCEMENT AND
INVESTIGATIONS BR
BILL BOKEY
OFFICE OF PROGRAM
AND TECHNICAL
OPERATIONS
BETTY KINNEY
ECOLOGICAL
ASSESSMENT BRANCH
BRANCH CHIEF - VAi
Figure 2-1
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Section 3
Revision: 0
Date: August 1990
Page 1
3. LABORATORY CHAIN-OF-CUSTODY
3.1. Introduction
3.1.1. Complete documentation of the sample collection and handling
process is an extremely important aspect of a regulatory monitoring
effort. Formal chain-of-custody procedures provide for a written
record of sample traceability, accountability, and serve to validate
sample integrity. All samples received by ASB for chemical analysis
are controlled by these procedures. Field sample custody procedures
are detailed in the Enforcement Investigations Branch, Standard
Operating Procedures and Quality Assurance Manual.
3.1.2. All custodial documentation on samples for ecological/
biological analyses will be maintained within the records of the
project biologist. The Analytical Support Branch sample custodian
will not maintain these records.
3.2. Sample Custody Forms
3.2.1. The following sample custody and disposal forms are shown in
Form 3-1 through 3-5:
3.2.1.1. Chain-of-Custody Seal (Form 3-1).
3.2.1.2. Chain-of-Custody Record (Form 3-2).
3.2.1.3. Custody Room Sample Log (Form 3-3).
3.2.1.4. Diagram of Custody Room (Form 3-4).
3.2.1.5. Disposal Memo Form (Form 3-5).
3.2.2. In addition to these forms, custody information is maintained
in the master logbooks, Data Management System, computer sample log,
the chemistry field logbooks, and in the individual analytical data
books.
3.3. Standard Operating Procedure - Sample Receipt/Custody
3.3.1. Samples are received by the sample custodian or a designated
alternate. The alternate must be an EPA employee on the staff of the
Analytical Support Branch. Samples that arrive after hours will be
secured in the custody room and the sample custodian will receive them
the next business day. At the time of receipt, the custodian or
designee will perform the following actions:
3.3.1.1. Sign the chain-of-custody form and record the date and
time of sample receipt.
3.3.1.2. Document whether the individual samples, boxes, or ice
chests were sealed upon receipt; also document unusual conditions
of sample container in remarks section of the custody form.
3.3.1.3. Log all samples into the Data Management System.
3.3.1.4. Place sample numbers on all sample tags or containers and
secure samples in the area designated for new samples. The
designated area will be the middle shelf in the front entrance of
each walk-in cooler. Walk-in coolers will be labeled as follows:
3.3.1.4.1. Metals/Organics: Storage for metals samples,
extractable organics and pesticide samples.
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Section: 3
Revision: 1
Date: December 1, 1997
Page: 2
3.3.1.4.2. Ultra Low Level: Storage for Metals, extractable
organics, pesticide and classical ultra low level samples such
as drinking water. Note: In special cases some low level
samples will be stored in refrigerators in the laboratories
such as the low level mercury samples.
3.3.1.4.3. Classical Inorganic/EAB: Storage for samples for
classical analyses and Ecological Assessment Branch samples.
3.3.1.4.4. The walk-in freezer will be divided equally between
the ASB and EAB for frozen samples.
3.3.1.4.5. Volatile organic samples will be stored in a
secured refrigerator in the GC/MS laboratory.
3.3.1.5. After samples are placed in the area designated for new
samples the following will be performed:
3.3.1.5.1. As soon as possible, the analyst(s) will move the
samples onto their allotted shelves and place them in a manner
that is functional for their team. See Form 3-4. Each team
is responsible for keeping their area of the custody room
secure, orderly, neat and maintaining space for incoming
sample placement.
3.3.1.5.2. It is the responsibility of the sample custodian to
insure that all areas of the custody room are maintained in a
clean, orderly and secure manner.
3.3.1.6. After sample logging is completed, computer data
reporting information will be available in the Database Management
System for reference.
3.3.1.7. The original field custody form, along with a computer
printout of the requested analytical tests, will be maintained in
the ASB files. A copy of the field custody form and a copy of the
computer print out will be sent to the project leader responsible
for sample collection.
3.3.2. Access to the main custody room area will be by computer card
as authorized by the Chief of the Analytical Support Branch or Chief
of the Ecological Assessment Branch.
3.3.3. For an analyst to receive samples for analysis, he/she must
assume legal custody of the samples and the following actions are
required:
3.3.3.1. The analyst must complete the appropriate Custody Room
Sample Log including their initials, listing the sample numbers,
date and time. Samples may be removed from the custody area only
after performing the appropriate documentation transferring
custody to the analyst. There will be 4 separate log books: 1)
metals, 2)extractable and pesticide, 3) volatile and 4) classical
and inorganics. Records of samples to be stored by the Ecological
Assessment Branch will be maintained in logbook #4 (for classical
and inorganic chemistry analyses.)
3.3.3.2. The analyst will return the samples to the custody room
when he/she is finished with the analysis. In no case will the
original samples (less aliquot required for analysis) remain
outside the custody room during non-duty hours. When the samples
are returned, the analyst will note the date and time returned in
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Section: 3
Revision: 1
Date: December 1, 1997
Page: 3
the appropriate Custody Room Sample Log, returning custody back to
the sample custody room.
3.3.3.3. The Custody Room Sample Logs will be maintained as a
permanent file.
3.4. Audit of Custody Records
3.4.1. Audits of custody information will be performed by the Branch
Chief or designee. These audits will include an examination of
custody documentation of randomly selected samples for traceability,
completeness, and accuracy. The results of these audits will reflect
the general effectiveness of the custody procedures.
3.5. Policy for Disposal of Laboratory Samples
3.5.1. No criminal investigation samples, extracts or sample
containers will be disposed of until authorized by the appropriate
officer of the court. Due to the timing on litigation, criminal
samples usually require long term storage. Space limitations within
the custody room make it necessary to store criminal samples within
the HAZMAT facility using the following procedure: 1) At the
completion of all required analyses the "characterization report" will
be generated, denoting the sample as to its hazardous or non-harzadous
status. 2) A copy of the characterization report and custody of the
samples will be transfered to the Divisional SHEM Officer. 3) The
SHEM Officer will maintain custody of the criminal samples while in
storage and will coordinate disposal with all appropriate parties.
3.5.2. Samples and their extracts that are not part of a criminal
investigation will normally be disposed of within 90 days from the
completion of the final laboratory data report. The exception to this
will be when a sample hold request is implemented. The "Intent to
Dispose of Samples Memo" (Table 3-5) will be prepared and sent out by
the Sample Custodian or designee as desingated below.
3.5.2.1. Intent To Dispose Memo and Sample Hold Request
30 Days after all laboratory analyses have been completed and the
data reported, the sample custodian will submit the disposal memo
(form 3-5) to the appropriate project manager. The memo will be
submitted via cc mail with receipt requested. The sample
custodian will maintain a file of receipts to document the notice
received by the project manager. To place samples on hold (non-
disposal) the project manager must so note on the form memo in the
appropriate place, list why the hold is necessary, and return the
memo to the sample custodian.
3.5.2.2. The sample custodian or designee will monitor samples
requested for hold and the samples ready for disposal. Samples
ready for disposal will be entered into the Database Management
System program which then generates a list of compounds found in
each sample. This "compound list" is used to identify those
samples that may be disposed of as ordinary environmental samples
and those that are defined as "hazardous" by regulation.
3.5.2.3. Samples that qualify as hazardous are documented within
the Data Management System Program and a list is generated. Those
samples characterized as hazardous will be coordinated with the
Science and Ecosystem Support Division (SESD), Safety Health and
Environmental Management (SHEM) Officer for disposal. Refer to
Chapter 4 for more details on hazardous waste disposal.
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Section: 3
Revision: 1
Date: December 1, 1997
Page: 4
3.5.3. For those samples characterized as non-hazardous (routine
environmental), a disposal report will be generated and provided to
designated staff as appropriate. Sample disposal of the routine
environmental samples should be completed by the appropriate analyst
within 2 weeks from disposal report distribution. The routine
environmental samples will be disposed of in the following manner:
3.5.3.0.1. The tags are removed, sorted and sent to the sample
collectors.
3.5.3.0.2. Water samples are disposed of by pouring the water
down the sink drain and rinsing the containers out with water.
These containers will be recycled. Preserved samples must be
neutralized. Each person disposing of samples must maintain
an awareness of the status of the laboratory centralized
neutralization system. If the neutralization system is under
maintenanace and/or not functional, the preserved waters must
be neutralized before flushing down the sink.
3.5.3.0.3. Non-hazardous soil/sediment samples are disposed of
in the dumpster.
3.6. Special Sample Handling Instructions
3.6.1. Soils from Foreign Countries
On occasion the Analytical Support Branch may receive requests for
analyses of foreign soil samples. Such samples require special
handling for labeling and disposal. The following procedure
should be followed:
3.6.1.1. When booked into the data management system there must be
a special notice of the fact that the samples are of "FOREIGN
SOIL".
3.6.1.2. When the samples are received at the laboratory the
sample custodian or designee is responsible for labeling the tags
with the notation "FOREIGN SOIL". The tag must remain with the
sample container until project completion and sample disposal.
3.6.1.3. After the samples are tagged and logged they should be
stored in the custody area per standard procedures.
3.6.1.4. Unused original sample must be autoclaved prior to
disposal for at least 30 minutes at 121 C and 15 psi.
3.6.1.5. After autoclaving the samples may be disposed of using
standard procedures for environmental samples. NOTE: ASB will
not routinely accept foreign soil/sediment samples suspected to be
hazardous as defined by statute. However, in the unlikely event
that the test results indicate that they are "hazardous",
disposal should be coordinated with the SESD SHEM Officer. Refer
also to Chapter 4 for additional details of disposal of samples
characterized as "hazardous".
3.6.2. Handling Procedures for Potentially Hazardous Waste Samples in
the Laboratory
A small percentage of samples received by ASB are characterized as
concentrated waste. In these instances field personnel are
required to screen the waste materials to ensure safe
transportation and handling of the samples. Concentrated waste
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Section: 3
Revision: 1
Date: December 1, 1997
Page: 5
samples are not preserved and are not required to be cooled to 4
degrees C.
The waste samples should be in a primary container that has been
cleaned by field personnel to insure
no contamination to the exterior of
the container. The samples should
then be tagged, sealed and placed
within a plastic bag secured with
electrical tape. Each sample will
then be placed within a 6-quart
plastic pail with a spill proof, tight
fitting lid and packed with
vermiculite as a secondary
containment. There should be special
notations to the sample custodian as
to the hazardous nature of the
samples. It is the Sample Custodian
responsibility to insure that the
hazardous nature of the samples is
communicated to all ASB staff.
Concentrated waste samples will be
stored within the hood of the custody
room.
3.6.2.1. When concentrated waste samples are received at the
Laboratory the following procedure should be followed for the
storage and handling:
3.6.2.1.1. Samples will be signed out of the designated
storage area and chain of custody maintained as with routine
environmental samples.
3.6.2.1.2. The samples will be transported unopened within the
laboratory and placed in the appropriate preparation area
within a fume hood. Samples should never be transported
outside a fume hood unless they are sealed within the
secondary containment vessel.
3.6.2.1.3. Once inside the hood, the secondary containment may
be opened and the individual sample processing may begin.
Care should be taken to keep the secondary containment vessel
so that the original sample may be repacked after completion
of the preparation for analysis. All sample processing and
manipulation should be accomplished within the hood. At no
time should the raw sample be removed from the hood without
being properly repacked within the primary and secondary
containment vessels.
3.6.2.1.4. Personal Protective Equipment (PPE): All initial
preparation/aliquoting of the samples must be performed using
the following personal protective equipment at a minimum: 1)
Latex or other type of appropriate gloves; 2) Lab Coat; 3)
Safety glasses or safety face shield. Higher levels of PPE
may be required as determined by information received from
field personnel, knowledge/experience of the analyst, or lab
supervisor. These determinations will be made by results of
field screening and any additional knowledge of the sample
matrix. It is the responsibility of each analyst to insure
that appropriate methods and safe laboratory practices are
followed at all times. If at any time an analyst has a
concern about the preparation process, or if unsure about
their ability to safely handle the samples, they should
immediately contact their supervisor.
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Section: 3
Revision: 1
Date: December 1, 1997
Page: 6
3.6.2.1.5. Any glassware or equipment such as spatulas,
pipets, droppers, etc. used in contact with the concentrated
waste must remain within the hood until cleaned or disposed of
in an appropriate fashion. These may be placed in the
secondary containment container to be disposed of with the
samples. Any solvents, solutions, or materials (kimwipes,etc)
used to clean waste from glassware or other equipment must be
collected and treated the same as the waste material. Where
practical and prudent for the analytical method, choose items
that are disposable. In all cases consult with the Divisional
SHEM Officer before removing and discarding any of the
contaminated materials.
3.6.2.1.6. At the completion of the sample processing the
original samples should be repacked into the primary and
secondary containment with care taken to insure that there is
no waste contamination on the exterior of the containment
vessels. When properly repacked, the samples should be
returned to the custody room hood and custody is returned by
signing the appropriate logbook. Refer to Chapter 4 for
details of the disposal of hazardous waste samples.
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Section: 3
Revision: 1
Date: December 1, 1997
Page: 7
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Chain-of-Custody Seal
Form 3-1
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REGION 4
U.S. ENVIRONMENTAL PROTECTION AGENCY
CHAIN OF CUSTODY RECORD
ENVIRONMENTAL SERVICES DIVISION
COLLEGE STATION ROAD
ATHENS, GEORGIA 30613-7799
PROJECT NO.
PROJECT NAME/LOCATION
PROJECT LEADER
ESD SAMPLE TYPES
1. SURFACE WATER
2. GROUND WATER
3. POTABLE WATER
4. WASTEWATER
5. LEACHATE
11. OTHER .
S. SOIL/SEDIMENT
7. SLUDGE
fl. WASTE
9 AIR
10. RSH
STATION LOCATION/DESCRIPTION
ELINQUISHED BY:
(PRINT)
(PRINT)
SAMPLERS (SIGN)
RECEIVED BY:
(PRINT)
RECEIVED BY:
(PRINT)
(SIGN^
REMARKS
RELINQUISHED BY:
(PRINT)
RELINQUISHED BY:
(PRINT)
White and Pink copies accompany sample shipment to laboratory; Pink copy retained by laboratory;
White copy is returned to samplers; Yellow copy retained by samplers.
DATE/TIME
DATE/TIME
RECEIVED BY:
(PRINT)
RECEIVED BY:
(PRINT)
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Section: 3
Revision: 1
Date: December 1, 1997
Page: 9
Book 15
CUSTODY ROOM
SAMPLE LOG
SAMPLE #
PARAMETER
OUT
DATE
TIM
E
IN
DATE
TIM
E
DATE
DISPOSED
NAME
Chain-of-Custody Form
Form 3-2
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Section: 3
Revision: 1
Date: December 1, 1997
Page: 10
Custody Room Sample Log
Form 3-3
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Section: 3
Revision: 1
Date: December 1, 1997
Page: 11
Organ ic/Motals
Cooler
Ultrj
New Samples
New samples
New Samples
New Samples
New Semples
Diagram of Custody Room
Form 3-4
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Section: 3
Revision: 1
Date: December 1, 1997
Page: 12
MEMO FORM
SUBJECT: Notice of Intent to Dispose of Samples; (Sample Project
Name; SESD project no., city, state)
FROM: Person sending memo (i.e. sample custodian/coordinator);
TO: Project manager
This memorandum is being sent as a reminder that the Analytical
Suppport Branch has completed all analyses on the subject samples. Due to
our limited space for long term sample storage, we must proceed with
sample disposal. Please take note that within sixty (60) days of the date
of this memo the original samples will be disposed of following all
applicable and appropriate statutes.
If there is any reason to hold these samples in custody for longer
than 60 days, you may activate a "hold" by so indicating below and
returning this memorandum via cc mail to Debbie Colquitt within the next
30 days. Also, please state briefly the reasons for retaining these
samples in custody.
Thank you for your cooperation in this request.
Date:
Project Manager Name:
Reason for Hold:
Disposal Memo Form
Form 3-5
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Section: 4
Revision: 1
Date: December 1, 1997
Page: 1
4. GENERAL LABORATORY PRACTICES
4.1. Intrinsic to the production of quality analytical data is the quality
of laboratory services available to the analyst. Without adequate quality
control being exercised with regard to facilities, services, laboratory
environment, instrumentation, and laboratory supplies, an analyst cannot
be expected to produce reliable analytical data.
4.2. Recognizing the necessity of maintaining control over general
laboratory operation, the subsequent sections outline provisions for
maintaining the quality laboratory support services.
4.3. All quality control checks listed in this section should be recorded
in the appropriate logbook or file (printed or electronic).
4.4. Laboratory Apparatus and Instruments
4.4.1. Incubators and Waterbaths
4.4.1.1. If an automatic temperature recorder is not used, place
calibrated thermometer on a central shelf and record temperature
at least once daily (more frequently if required) when the
incubator is in use.
4.4.1.2. Periodically check temperature variations when incubator
or waterbath is loaded to capacity.
4.4.1.3. Drain and clean waterbath as required and refill with
laboratory pure water.
4.4.2. Refrigerators and freezers
4.4.2.1. Check and document temperature weekly.
4.4.2.2. Clean periodically and discard outdated materials.
4.4.2.3. Do not store food in any laboratory refrigerator or
freezer. There is a refrigerator in the lunchroom for storage of
food.
4.4.3. Autoclave and Hot Air Oven
4.4.3.1. Record date, and sterilization time, and temperature for
each cycle.
4.4.3.2. Operate hot air oven at a minimum of 170°C for
sterilization.
4.4.4. Balances
4.4.4.1. Check with Class-S weights at least monthly and record in
the QC log.
4.4.4.2. Clean and level balances as required.
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Section 4
Revision: 1
Date: December 1, 1997
Page 2
4.4.4.3. Maintain annual maintenance services contract.
4.4.5. pH Meters
4.4.5.1. Date all pH buffer solutions when opened. Buffers that
have reached the manufacturer's expiration should be discarded and
replaced.
4.4.5.2. Standardize meter with pH 7.0 and pH 4.0 and/or pH 10
buffer before each use, or as required by regulated methods.
4.4.5.3. Use pH buffer aliquot only once.
4.4.6. Thermometers
4.4.6.1. Unless otherwise specified by regulatory methodoloy, it
is the policy of ASB to use only non-mercury containing
thermometers in all laboratory operations. Check all laboratory
thermometers annually with a reference NIST thermometer. Mark any
necessary corrections on each thermometer and record in the QC
logbook.
4.5. Laboratory Supplies
4.5.1. Glassware
4.5.1.1. Glassware used in general laboratory operations must be
of a high quality borosilicate glass, e.g., "Pyrex" or "Kimax."
Volumetric glassware must be of a Class "A" quality.
4.5.1.2. Clean glassware in hot water with a suitable detergent,
rinse in hot water to remove detergent residue, and finally rinse
in laboratory pure water. Glassware used in special analyses,
e.g., metals and organics require more scrupulous cleaning, e.g.,
acid and/or solvent washing. Glassware must be oven-dried or
drained thoroughly before use or storage. Glassware used in trace
metals analysis should be air dried. In some instances it may
prove to be advantagous to store labware for ultrace level metal
analyses in a dilute acid solution. In operations of specific,
low-level analyses glassware should be isolated and maintained
only for these specific operations.
4.5.1.3. If, at any time a new washing compound or cleaning
application is introduced, it is imperitive that tests be
performed to assure that the glassware is free of intereferences
before routine analyses are begun.
4.5.2. Chemicals, Reagents, Solvents, Standards, Gases, and Culture
Media
4.5.2.1. The quality of chemicals, reagents, solvents, standard
gases, used in the laboratory is determined by the sensitivity and
specificity of the analytical techniques being used. Reagents of
lesser purity than specified by a method will not be used.
4.5.2.2. Reagents, chemicals, solvents, and standard reference
materials (excluding high-demand items) should be purchased in
small quantities to minimize extended shelf storage.
4.5.2.3. Date all reagents, chemicals, solvents, and standard
reference materials when received and when opened or prepared, and
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Section 4
Revision: 1
Date: December 1, 1997
Page 3
discard when outdated, or when evidence of discoloration or
deterioration is detected.
4.5.3. Laboratory Pure Water
4.5.3.1. The laboratory pure water system consists of a
deionization supply followed in individual labs by exchange
modules and other modules capable of supplying high quality (18
megaohm) water suitable for the application. The system is also
equipped with a direct reading resistivity meter.
4.5.3.2. Change system modules as recommended by the manufacturer
or as indicated by water quality. Date modules when changed.
4.6. Laboratory Hazardous Wastes Handling and Disposal Procedures
4.6.1. It is the policy of the Analytical Support Branch to collect,
store, package, label, ship and dispose of hazardous wastes in a
manner which ensures compliance with all Federal, State and local
laws, regulations and ordinances. These procedures are also designed
to minimize employee exposure to hazards associated with laboratory
generated hazardous wastes and to afford maximum environmental
protection.
4.6.2. Policies and procedures for operation of the Division's
environmental compliance program are detailed in the document, Safety
Health and Environmental Management Program, Procedures and Policies
Manual. This manual is maintained by the Divisional Safety, Health
and Environmental Managment (SHEM) Officer.
4.6.3. Regulatory Requirements
4.6.3.1. ASB is subject to the Resource Conservation and Recovery
Act regulations as contained in the Georgia Rules for Hazardous
Waste Management for the handling, storage and disposal of
laboratory-related hazardous wastes. Generally, the laboratory is
subject to the rules applicable to generators of 100-1000
kg/month.
4.6.4. Waste Handling Practices
4.6.4.1. Hazardous Waste Determination. The determination of
whether or not a waste is a regulated substance is made by the
Divisional SHEM Officer. Generally the following criteria apply
either individually or in combination:
4.6.4.1.1. Is the waste material listed in 40 CFR 261.30 -
261.33(e)?
4.6.4.1.2. Does the material conform to any of the listing
characteristics specified in 40 CFR 261.20 - 261.24?
4.6.4.1.3. Does the generator have personal knowledge of the
hazardous nature of the material?
4.6.4.1.4. Would disposal of the material as non-regulated
waste pose an environmental threat and/or leave the Agency
open to criticism?
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Section 4
Revision: 1
Date: December 1, 1997
Page 4
4.6.4.2. Wastes which meet any of the above criteria must be
handled and disposed of as a regulated waste.
4.6.5. Waste Minimization
4.6.5.1. The Branch Chief is responsible for ensuring that staff
adhere to all Region 4 waste handling and disposal requirements
for all laboratory operations. This includes the implementation
of procedures (i.e., technical and/or management) designed to
minimize the generation of hazardous wastes.
4.6.5.2. Waste minimization should be a prime consideration of
initial experimental design and investigation planning. The degree
to which waste minimization is achieved ultimately impacts the
operational and cost effectiveness of our overall hazardous waste
management program.
4.6.6. Tracking
4.6.6.1. A tracking system is maintained to account for monthly
and annual hazardous waste generation. This system is maintained by
the Divisional SHEM Officer.
4.6.6.2. Jim Gray, SHEM Officer, phone 355-8613, is responsible
for waste logging, acceptance for storage, and periodic shipments as
required by policies and procedures.
4.6.7. Waste Accumulation Limits
4.6.7.1. As a small quantity generator, the laboratory is subject
to the following waste accumulation limits:
4.6.7.1.1. Hazardous waste
4.6.7.1.1.1. Generate no more than 1000 kg/mo and
accumulate no greater than 6000 kg of wastes. Wastes must
be disposed of within 180 days of the start of
accumulation, or within 270 days if waste is transported
more than 200 miles for disposal.
4.6.7.1.1.2. Wastes generated in excess of these limits
subjects the laboratory to the full generator rules (40
CFR 262.34 (a)).
4.6.7.1.2. Acutely Hazardous Waste
4.6.7.1.2.1. Those wastes specifically listed in 40 CFR
261.31 and 261.33 (e)(f) are considered acute hazardous
waste. The laboratory cannot generate more than 1 kg/mo
of acute hazardous waste and retain its' small quantity
generator status. The 180/270-day storage limit also
applies to acutely hazardous wastes if less than 1 kg/mo
is generated.
4.6.7.1.3. Waste accumulation will be monitored to ensure that
the applicable generation and accumulation (i.e.,
quantity/time) limits are not exceeded. Waste will be
disposed of as required to ensure conformance with the
regulatory limits (i.e., 180 days) and at a minimum of twice
per year.
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Section 4
Revision: 1
Date: December 1, 1997
Page 5
4.6.8. Waste Packaging and Labeling
4.6.8.1. All hazardous wastes designated for temporary storage
must be packaged in an appropriate container designed to avoid
loss or spillage of the materials. The determination of the
hazardous nature of a waste is the responsibility of the SHEM
Officer.
4.6.8.2. Before transporting or offering a hazardous waste for
storage the SHEM Officer must be consulted. The SHEM Officer will
ensure that all containers shipped off-site are properly packaged
and labeled and that the transport vehicle is appropriately
placarded and manifest documentation is complete.
4.6.9. Waste Storage
4.6.9.1. Except for in-laboratory accumulation (i.e., satellite
storage (40 CFR 262.34 (c)(1)), all hazardous wastes generated at
the Region 4, College Station Road facility and accumulated for
disposal will be stored in the Hazardous Materials (HAZMAT)
Storage Facility . The HAZMAT facility is located adjacent to and
detached from the main SESD building. The building is
specifically designed for the storage of hazardous materials.
4.6.9.2. Materials stored in the HAZMAT are segregated according
to compatibility groups.
4.6.9.3. The HAZMAT storage facility will be inspected on a weekly
basis as required 40 CFR 265.15. These inspections and the
required documentation thereof are the responsibility of the
Divisional SHEM Officer.
4.6.9.4. Inspection of emergency equipment and spill control
equipment will be conducted at appropriate intervals by the SHEM
Officer.
4.6.9.5. Additional housekeeping and security inspections of the
HAZMAT facility will be performed on a regular basis in
conjunction with safety inspections conducted by the SESD Health
and Safety Committee. An inspection report will be provided to
the SHEMP Officer and to Divisional Senior Management.
4.6.9.6. Hazardous waste generated at EPA's leased space at the US
Department of Agriculture, Russell Reasearch Laboratory will be
stored in the SESD HAZMAT Facility. This is appropriate due to
the close proximity of the locations of the two laboratories.
4.6.10. Waste Disposal
4.6.10.1. Disposal of regulated laboratory wastes is the
culmination of the waste management process. As such, selection
of a responsible waste transporter and disposal facility is
vitally important. The selection of a waste transporter must be
predicated on their being permitted to transport hazardous wastes
coupled with an absence of prior RCRA/DOT violations and a proven
record of successful performance.
4.6.10.2. The method of waste disposal will, in part, dictate the
selection of a waste disposal facility. To the extent possible,
it will be the policy of Region 4 to dispose of all hazardous
wastes by incineration, and/or chemical treatment/fixation.
Landfilling of hazardous wastes will be avoided if at all
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Section 4
Revision: 1
Date: December 1, 1997
Page 6
possible. Factors considered in the selection of a waste disposal
facility include: current permit status, compliance with the EPA
Off-Site Policy, (SARA Sec. 121), past performance, effectiveness
of treatment processes and ability to provide a certificate of
disposal. To the extent possible, all hazardous waste will be
disposed of at facilities which comply with the EPA off-site
policy.
4.6.10.3. Non-regulated solid wastes will be disposed of in the
building dumpster. Non-regulated aqueous wastes will be flushed
to the sewer system. See Section 3.5.42.4.2 for proper disposal.
Spent sample containers disposed of in the dumpster should have
their labels removed or obliterated.
4.6.11. Recordkeeping
4.6.11.1. All records related to the generation and disposal of
hazardous wastes will be retained as permanent facility records.
4.6.11.2. These records will be maintained in the files of the
Divisional SHEM Officer.
4.6.12. Contingency Measures
4.6.12.1. As required by 40 CFR 265.50 - 265.56, a Hazardous Waste
Contingency Plan has been developed which outlines facility
emergency response procedures.
4.7. Procedures for Satellite Hazardous Waste Accumulation
4.7.1. Many laboratory operations necessitate the generation of
hazardous wastes (e.g., solvents, acids, etc.) which are routinely
accumulated near the point of generation. The in-laboratory
"satellite" accumulation of such waste should be carefully controlled
by the laboratory manager working with the SHEM Officer so as to avoid
creating an unsafe situation and also comply with RCRA temporary
storage requirements.
4.7.2. The RCRA regulations (40 CFR 262.34(c)(1)) permit the temporary
accumulation of hazardous waste or acutely hazardous wastes at or near
the point of generation. Waste accumulated in this manner are
considered to be in "satellite accumulation."
4.7.3. Hazardous Wastes. The following procedures apply to satellite
accumulation of hazardous waste in ASB facilities:
4.7.3.1. All waste containers must be clearly marked with a red
"Hazardous Waste" label. These labels are available from the SHEM
Officer, Jim Gray, at 355-8613.
4.7.3.1.1. The contents of the container must be marked on the
label. Be specific in the identification of the contents.
4.7.3.1.2. All satellite storage containers must be closed
except during periods of waste transfer. Some operations
(e.g., AA, LC, ICP, etc.) may require using a container lid
with a hole for introducing the waste via a tube. Waste
collection vessels requiring zero back pressure can be fitted
with an open-to-the-air absorbent trap (e.g., carbon filled).
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Section 4
Revision: 1
Date: December 1, 1997
Page 7
4.7.3.1.3. The volume of waste accumulated in the laboratory
should not exceed 8 gallons. Exceptions would be instrument
(i.e., AA, ICP) waste acid reservoirs and TCLP process waste.
4.7.3.1.4. Volatile and/or flammable wastes should be
temporarily stored in laboratory fume hoods nearest the point
of generation.
4.7.3.1.5. Caution must be exercised by the analysts to avoid
creating incompatible and/or reactive waste mixtures.
4.7.3.1.6. Waste removed from "satellite" storage for disposal
will be handled according to the procedures contained in the
Safety, Health and Environmental Management Program,
Procedures and Policies Manual.
4.7.3.2. All satellite accumalation containers must be placed in
secondary containment.
4.7.4. Acutely Hazardous Wastes
4.7.4.1. Acutely hazardous wastes are those listed in 40 CFR
261.31-261.33 and must be accounted for separately from non-acute
wastes. The following procedures apply to the satellite storage
of acutely hazardous wastes:
4.7.4.1.1. The acute waste must be collected in separate
containers from the non-acute hazardous waste and be labeled
as containing acute waste.
4.7.4.1.2. Accumulation of acute waste cannot exceed one (1)
quart and remain in the laboratory. Once the volume reaches
one quart, the waste container must be dated and removed to
the permanent hazardous waste storage area within three (3)
days.
4.7.4.1.3. Except for the labeling and accumulation limits,
acute wastes will be handled in the same manner as hazardous
wastes.
4.7.4.2. Laboratory managers and supervisors should conduct
periodic walk-through inspections to ensure the proper application
of temporary waste accumulation procedures.
4.8. Guidelines for Disposal of Environmental Samples
4.8.1. Samples submitted to the laboratory for analysis are excluded
from regulation as hazardous waste under 40 CFR 261.4(d) provided the
samples are being transported to or from the laboratory, or are being
analyzed, are being held for analysis, are being maintained in custody
for legal reasons. However, once a decision is made to dispose of
laboratory samples, the exclusion provisions of 40 CFR 261.4(d) no
longer apply. Depending upon the characteristics and/or contents of
such samples, they may be subject to regulation as a hazardous waste
under RCRA or as a PCB-containing material under TSCA and must be
handled accordingly.
4.8.2. Not all samples are routinely subjected to characteristic
testing and are not readily classified as a hazardous waste. To
address the problem of proper sample handling and disposal in the
laboratory, guidelines have been developed to aid laboratory and
environmental compliance personnel in making a decision whether or not
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Section 4
Revision: 1
Date: December 1, 1997
Page 8
to handle a particular spent laboratory sample as either a RCRA
regulated or non-regulated waste containing potentially hazardous/
toxic substances or simply a solid waste. Application of these
guidelines provides an environmentally conservative approach to the
disposal of spent laboratory samples and minimizes the potential for
non-compliance with RCRA regulations.
4.8.3. At the completion of each project, the laboratory generates a
report from its laboratory information management system which
describes each analysis performed on the individual samples together
with a parameter by parameter listing of positive results. The
computer program has been designed to deliver a list of samples that
are potentially hazardous as defined by statute. Samples that are
indicated by the computer program as potentially hazardous are
referred to the Divisional SHEM Officer who then makes the decision as
to the proper disposition of the samples.
4.8.4. Acidified water samples are subject to elementary
neutralization and would be classified as "hazardous" solely upon the
basis of pH. See Section 3.5 for proper disposal. This method of
disposal is applicable to all water samples which are classified as a
hazardous waste exclusively on the basis of corrosivity.
4.8.5. All non-acidified water samples are disposed of via the
laboratory sinks.
4.8.6. All samples containing total PCB's greater than 50 mg/kg are
subject to TSCA provisions contained in 40 CFR 761 and are disposed of
as PCB containing materials.
4.8.6.0.1. Disposal of Foreign Soil- See Section 3.7
4.9. Handling, Storage, Disposal and Reporting Procedures for PCB
Containing Materials
4.9.1. The handling, storage, disposal and reporting of PCB items,
containers, and articles containing PCB's in concentrations greater
than 50 ppm are regulated under the Toxic Substances Control Act
(TSCA). Applicable regulations are contained in 40 CFR Part 761.1.
4.9.2. REGULATORY REQUIREMENTS
4.9.2.1. Marking Requirements: Any PCB article or container (40
CFR 761.3) of PCB materials in a concentration greater than 50 ppm
must be properly marked according to 40 CFR 761.40.
4.9.2.2. Storage Requirements: Any PCB containing material (i.e.,
item, article, etc.) designated for disposal shall be disposed of
within 1 year from the date it was first placed in storage (40 CFR
761.65 (a).
4.9.3. The storage facility shall comply with the requirements
specified in 40 CFR 761.65 (b) (1) (e.g., roof, walls, floor, curbing,
location, marking, inspection, etc.).
4.9.3.1. Temporary Storage: PCB wastes stored in laboratories are
considered to be in temporary storage as described in 40 CFR
761.65 (c) without having to comply with the storage requirements
provided that: (1) the wastes container displays a proper PCB
label, (2) contains the date accumulation started, (3) are stored
in a DOT specification container as described in 40 CFR 761.65
(c)(6), and (4) are not stored in the laboratory for more than 30
days.
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Section 4
Revision: 1
Date: December 1, 1997
Page 9
4.9.3.2. Reporting and Records: If at any time the facility
stores 45 kg (99.4 pounds) of PCB material with a concentration
greater than 50 ppm, the following information will be compiled in
an annual report: volume of PCB's stored, storage dates,
disposal dates, and PCB source (40 CFR 761.180(a)). An Annual
Report will prepared by the Divisional SHEM Officer.
4.9.3.3. Disposal Requirements: Destruction of PCB containing
materials must be done in an incinerator which complies with the
requirements contained in 40 CFR 761.70.
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Section 5
Revision: 0
Date: August 1990
Page 1
5. LABORATORY EQUIPMENT MAINTENANCE AND SERVICE
5.1. Proper maintenance of laboratory instrumentation is a key ingredient
to both the longevity of the instrumentation, as well as, providing the
analyst with equipment capable of producing reliable analyses. Proper
equipment maintenance requires an alert analytical staff which recognizes
the need for equipment maintenance coupled with available support services
provided either by in-house personnel or vendor specialists.
5.2. Responsibility for maintenance and repair of all Branch laboratory
equipment is shared by the analysts and on occasion, vendor specialists.
5.3. The primary elements of the equipment maintenance program include:
5.3.1. All major equipment receives a daily check for such things as:
cooling fan operation, pump operation, indicator readings, mechanical
checks, clean air filters, etc.
5.3.2. Service schedules are established for performing routine
preventative maintenance on all major equipment items.
5.3.3. Records are maintained for all equipment repairs.
5.3.4. Instrument utilization records; including operating, and
downtime, are maintained for all GC, AA, GC/MS and ICAP instruments.
5.3.5. A conservative inventory of critical spare parts is maintained
for high-use instrumentation.
5.3.6. Vendor operation and maintenance manuals are maintained for all
laboratory instrumentation.
-------
Section 6
Revision: 0
Date: August 1990
Page 1
6. LABORATORY SAFETY
6.1. INTRODUCTION
6.1.1. All Branch employees must accept the responsibility for acting
in accordance with safety rules and practices and for reporting any
observed safety hazard. This section highlights some general
guidelines and rules that specifically apply to the Analytical Support
Branch. Obviously no set of rules will cover all possible situations.
Therefore, in addition to adhering to these rules, each person is
expected to exercise good judgement in all situations and to maintain
a high level of safety consciousness.
6.1.2. The rules and guidelines listed in this section only supplement
or highlight the following official publications:
6.1.2.1. Safety and Health Manual, draft (proposed effective Feb
1998) .
6.1.2.2. EPA Occupational Health and Safety Manual, October 1984.
6.1.2.3. Laboratory Health Monitoring Requirements, March 6, 1987.
6.2. General
6.2.1. Lab coats and safety glasses should be worn at all times in
laboratories. The only exception to this is when personnel are
working at computer terminals or microscopes. When working with
corrosives and/or toxic substances, lab coats should be left in the
laboratory.
6.2.2. Open sandals and shorts will not be worn in laboratories.
6.2.3. When working in any of the laboratories, it is recommended that
all jewelry be removed and that personnel wash their hands frequently.
Always wash hands thoroughly when leaving the laboratory.
6.2.4. When working with flammable materials, nylon or other totally
synthetic clothing should be avoided to minimize the possibility of
static sparks.
6.2.5. All containers should be labeled as to contents, with
particular care to note corrosive or hazardous materials.
6.2.6. There will be no eating, drinking, or smoking in any
laboratory.
6.2.7. Glassware that is chipped but still usable, must be fire
polished before use; otherwise it must be discarded.
6.2.8. Never use any lab glassware as a container for food or drink.
6.2.9. An inventory of all chemicals maintained in the laboratory will
be prepared and updated on an annual basis.
6.2.10. Return all chemicals to their proper storage areas after use.
6.2.11. Never pipet by mouth.
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Section: 6
Revision: 1
Date: December 1, 1997
Page: 2
6.2.12. Designated personnel are to conduct a safety inspection of
their laboratory at least quarterly.
6.2.13. No perchloric acid or perchlorate salts will be stored in the
Analytical Support Branch. If at any time these chemicals are
required in a method, special precautions will be necessary and should
be coordinated with the Chief of the Inorganic Chemistry or Organic
Chemistry Section.
6.2.14. All work areas should be cleaned at the end of each work day.
Spills should be cleaned up immediately.
6.2.15. Samples should be in laboratories only during preparation and
analysis; otherwise, keep them in the custody room, or proper volatile
organic storage area.
6.2.16. All stock standards of a toxic nature should be prepared in a
hood and stored in designated areas. Only experienced personnel
should handle these standards.
6.2.17. Work of a hazardous nature will not be performed in a
laboratory after normal business hours when only one person is
present.
6.2.18. New personnel must be familiarized with safety practices,
location of safety equipment, and made aware of possible hazards in
the areas in which they will be working.
6.2.19. When conducting routine maintenance of electrical equipment,
observe all shock hazard warnings displayed on instrumentation.
6.2.20. Use safety guards where appropriate when using electrical
equipment or ventilation/fumehood systems.
6.2.21. Observe all cryoprotective warnings regarding cylinders and
sample storage areas.
6.2.22. When using pressurized systems, take care to tighten
restraints before pressurizing system and depressurize system before
loosening restraints.
6.3. Sample Receiving and Logging
6.3.1. When possible, determine the source of the samples and any
special hazards that might be associated with them. (Refer also to
Section 3, Laboratory Chain-o£-Custody and Sample Handling.)
6.3.2. Some samples, especially domestic waste when sealed in
containers will build up pressure. Care should be taken in handling
these type samples. Also, gloves should be used to handle these
samples during analysis, due to the possibility of the transmission of
a variety of human enteric pathogens that cause diseases.
6.3.3. Broken samples should be handled with protective gloves and
disposed of immediately according to the waste disposal procedures.
6.3.4. A small percentage of samples received by ASB would be
characterized as concentrated waste. These samples will require
special handling. (Refer to Section 3.5.6.2 for Handling Procedures.)
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Section: 6
Revision: 1
Date: December 1, 1997
Page: 3
6.4. Compressed Gases
6.4.1. Compressed gases should be handled in accordance with Chapter 3
of the Safety and Health Manual, Science and Ecosystems Support
Division.
6.4.2. It is the responsibility of each Team to maintain current
inventory and status of compressed gases used within their respective
areas. Each Section Chief and/or Team must designate individuals to
perform these inventories.
6.5. Radioactivity
6.5.1. Electron Capture Detectors require wipe tests for radioactivity
every six months.
6.5.2. The Divisional SHEM Officer will be the person responsible for
the wipe tests and to maintain documentation of the tests.
6.6. Laboratory Waste Disposal Practices
6.6.1. ASB is subject to the Resource Conservation and Recovery Act
(RCRA) regulations as contained in the Georgia Rules for Hazardous
Waste Managment for handling, storage, and disposal of laboratory
related wastes. While knowledge of the hazardous waste handling and
disposal regulations is the primary responsiblity of the Divisional
SHEM Officer, each ASB staff member should become familiar with the
basic policies and procedures for waste disposal as it pertains to
his/her area. ALL WASTE DISPOSAL MUST BE COORDINATED WITH THE SHEM
OFFICER. (Refer also to Section 4.6)
-------
Section 7
Revision: 0
Date: August 1990
Page 1
7. METHODOLOGY
7.1. A detailed listing and discussion of specific chemical methods are
not included in this manual. Instead, lists containing the methods (and
analytical technique) used in this laboratory for organic analysis of all
sample types are listed in Table 7-1. Table 7-1 contains the method
tracking number and method summary. The method tracking number is listed
in extraction logbooks to identify the organic methods of extraction and
analysis. (See Table 7-2.) See Section 11 for references to inorganic
methods.
7.2. Details on the applications, limitations, precision, and accuracy are
found within the listed methods.
7.3. Reporting Units
7.3.1. Table 7-3 lists the reporting concentration units for all
parameters in waters, soil/sediments (solids), fish (tissue), air, and
waste. These units are always to be used unless sample matrix or
methodology criteria require a change. Changes in units must be
coordinated between the Organic and Inorganic Chemistry Sections.
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Section: 7
Revision: 1
Date: December 1, 1997
Page: 2
Method
Parameter
Method
TABLE 7-1
LIST OF TEST PROCEDURES
Reference Tracker #
Surface Water. Monitoring Wells. Wastewater
1. Extractable Organics Capillary GC/MS 8270/625/CLP 47A
2. Volatile Organics Capillary GC/MS 8260/624/CLP 46A
Capillary GC/ECD
3. Organochlorine
Pesticides/PCBs
4. Acid Herbicides
8081/608/CLP 55A,55
Capillary GC/ECD 8151/515.1 38A
8141 57
5. Organophosphorus Capillary GC/NPD
Pesticides
6. Formaldehyde Capillary GC/MS ASB Method 48A,48
HPLC FORM-10/83/8315
1. Extractable Organics Capillary GC/MS
2. Volatile Organics Capillary GC/MS
3. Organochlorine
Pesticides/PCBs
4. Acid Herbicides
5. EDBandDBCP
Capillary GC/ECD
Capillary GC/ECD
Capillary GC/ECD
Drinking Water
525/8270 47A
524.2/8260 46A
508/8081 55A55
6. Screening for PCBs Capillary GC/ECD
515.1/8151 38A
504 52A
508A 62
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 3
Parameter
Method
TABLE 7-1 (cont.)
LIST OF TEST PROCEDURES
Reference TRACKER #
METHOD
1. Extractable Organics Capillary GC/MS
2. Volatile Organics Capillary GC/MS
Capillary GC/ECD
SEDIMENT/SOIL
3550/8270/CLP 43,43A,54
8260/CLP 43D,54B
3. Organochlorine
Pesticides/PCBs
4. Acid Herbicides
3550/8080/CLP 43,43A,43B,
43Q54
5. Organophosphorus Capillary GC/NPD
Pesticides
Capillary GC/ECD 8151
3550/8141
51A
57
6. Formaldehyde Capillary GC/MS ASB Method 48A,48
HPLC FORM-10/83/8315
7. PCBSforTSCA
Capillary GC/ECD
1. Extractable Organics Capillary GC/MS
2. Volatile Organics Capillary GC/MS
Capillary GC/ECD
3. Organochlorine
Pesticides/PCBs
4. Acid Herbicides
Capillary GC/ECD
5. PCBs in Waste Oil Capillary GC/ECD
1. Extractable Organics Capillary GC/MS
8270
2. Volatile Organics Capillary GC/MS
3. Organochlorine
Pesticides/PCBs
Capillary GC/ECD
8080
3540/8080 31A
WASTE
3580/8270 54A
3550/8270 54C
8260 54B
3580/8080 54A
3550/8080 54C
8151 51A
600/4-81-045 35
8080
TISSUE
ASB Sonicator 44
ASB Method/8260 44
ASB Sonicator 44
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 4
TABLE 7-1 (cont.)
LIST OF TEST PROCEDURES
METHOD
Parameter Method Reference TRACKER #
AIR
1. Extractable Organics Capillary GC/MS PUFbyTOlS 50C
8270
2. Volatile Organics Capillary GC/MS Canister by 56
TO 14/8260
3. Organochlorine Capillary GC/ECD PUFbyTO4 50
Pesticides/PCBs 8080
4. Formaldehyde HPLC TrapbyTOll 59
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 5
Method* Descriptor Sample Type
46 A VLW Volatile low water
43D VLS Volatile low soil/sed
54B VMS Volatile medium soil/sed
54B VMW Volatile medium waste
56 VAC Volatile air canister
60 VTC VOLATILE BY TCLP EXTRACTION
47 SLW Semivolatile low water - separately funnel
47A SLW Semivolatile low water - continuous liquid ext.
43 SLG Semivolatile low soil/sed w/GPC
43 A SLS Semivolatile low soil/sed wo/GPC
54 SMS Semivolatile medium soil/sed
54A SHW Semivolatile high waste wo/son.
54C SMW Semivolatile medium waste w/son.
44 SLT Semivolatile low tissue
SOB SAP Semivolatile air PUF
58 SCW Semivolatile Cartridge ext. water
60 STC Semivolatiles by TCLP extraction
31C SSS SEMIVOLATILE LOW SOIL WITH SOXHLET
55
55A
43
43A
43B
43C
44
44A
44B
SOB
54
54A
54C
52B
57
60
35
31A
31C
38
51
60
48
48
59
61
61
PLW
PLW
PLG
PLS
PSA
PSH
PLT
PTH
PTA
PAP
PMS
PHW
PMW
PCW
PNP
PTC
PWO
PCS PCB LOW
PSS PEST/PCB
HLW
HLS
HTC
FLW
FLS
FAC
CLW
CLS
Pesticide low water - separatory funnel
Pesticide low water - continuous liquid ext.
Pesticide low soil/sed w/GPC
Pesticide low soil/sed wo/GPC
Pesticide low soil/sed w/acid cleanup
Pesticide low soil/sed w/hex/acetone
Pesticide low tissue
Pesticide low tissue w/hexane
Pesticide low tissue w/acid cleanup
Pesticide air PUF
Pesticide medium soil/sed
Pesticide high waste wo/son.
Pesticide medium waste w/son.
Pesticide Cartridge ext. water
Pesticide low water nitrogen/phosphorous
Pesticides by TCLP extraction
PCBs waste oil
SOIL WITH SOXHLET
LOW SOIL WITH SOXHLET
Herbicides low water
Herbicides low soil/sed
Herbicides by TCLP extraction
Formaldehyde low water
Formaldehyde low soil/sed
Formaldehyde air cartridge
Carbamates low water w/HPLC
Carbamates low soil/sed w/HPLC
Table 7-2
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 6
METHOD SOURCES FOR TABLES 7-1 & 7-2
1. 1000-8000 Methods: USEPA, Test Methods for Evaluating Solid Waste. SW-846, 3rd Edition, 1986 plus the 1st
and 2nd Updates.
2. 500 Methods: USEPA, Methods for the Determination of Organic Compounds in Drinking Water. EPA/600/4-
88/039, Dec., 1988.
3. 600 Methods: USEPA. Guidelines Establishing Test Procedures for the Analysis of Pollutants Under the Clean
Water Act-40CFR Part 136. Federal Register of Oct. 26, 1984.
4. TO Methods: USEPA, Compendium of Methods for the Determination of Toxic Organic Compounds in Ambient
Air. EPA-600/4-84-041, Apr. 1984 plus the Supplements of 1986 and 1988.
5. CLP Methods: USEPA Contract Laboratory Program Statement of Work for Organics Analysis. Multi-Media.
Multi-Concentration. 1990.
6. USFDA Methods: Pesticide Analytical Manual. Volumes I and II.
7. Region 4 Methods: Adaptations of Published Methods when Official Methods are not Available.
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 7
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
7736
4045
9999
1046
1028
5215
5205
5206
6105
6100
6716
4055
7051
3005
7015
7020
5867
5793
5794
5795
5005
3008
3009
3010
2125
5884
1008
5830
5791
3015
3016
3018
6160
2065
5878
5115
5095
5100
5085
5105
% ALCOHOL
% LIPIDS
% MOISTURE
% SOLIDS
% WATER
2,4,5-T
2,4-D
2,4-DB
ACENAPHTHENE
ACENAPHTHYLENE
ACETALDEHYDE
ACETATE
ACETONE
ACIDITY
ACROLEIN
ACRYLONITRILE
ALACHLOR (LASSO)
ALDICARB
ALDICARB SULFONE
ALDICARB SULFOXIDE
ALDRIN
ALKALINITY, BICARBONATE (AS CAC03 )
ALKALINITY, CARBONATE (AS CAC03 )
ALKALINITY, TOTAL (AS CAC03 )
ALUMINUM
AMBUSH (PERMETHRIN)
AMES TEST
AMETRYN
AMINOBENZIMIDAZOLE, 2- (2-AB)
AMMONIA
AMMONIA, DISSOLVED
AMMONIA, UNIONIZED (AS NH3 )
ANTHRACENE
ANTIMONY
ANTOR
AROCLOR 1016 (PCB-1016)
AROCLOR 1221 (PCB-1221)
AROCLOR 1232 (PCB-1232)
AROCLOR 1242 (PCB-1242)
AROCLOR 1248 (PCB-1248)
%
%
%
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/L
UG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/L
MG/L
MG/L
UG/L
UG/L
UG/L
UG/L
MG/L
MG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
%
%
%
%
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
%
%
%
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
%
%
%
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 8
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
5090
5110
5111
5112
5895
2010
1005
1007
1006
5861
5781
1010
5894
2020
5789
5868
7105
6020
6190
6215
6210
6211
6235
6216
6220
6256
6795
6770
6241
6180
6765
2025
5020
5025
5035
5030
3012
6080
6040
6050
AROCLOR 1254 (PCB-1254)
AROCLOR 1260 (PCB-1260)
AROCLOR 1262 (PCB-1262)
AROCLOR 1268 (PCB-1268)
AROCLORS, TOTAL (PCBS)
ARSENIC
ASBESTOS (FIBROUS)
ASBESTOS, BULKED
ASH
ATRAZINE
AZODRIN (MONOCROTOPHOS)
BAC-T
BALAN (BENEFIN)
BARIUM
BENOMYL
BENOMYL (BENLATE)
BENZENE
BENZIDINE
BENZO (A) ANTHRACENE
BENZO(B AND/OR K) FLUORANTHENE
BENZO (B AND/OR K) FLUORANTHENE *
BENZO (B) FLUORANTHENE
BENZO (GHI) PERYLENE
BENZO (K) FLUORANTHENE
BENZO-A-PYRENE
BENZOIC ACID
BENZONITRILE
BENZOPHENONE
BENZYL ALCOHOL
BENZYL BUTYL PHTHALATE
BENZYLIC ACID
BERYLLIUM
BHC, ALPHA -
BHC, BETA-
BHC, DELTA -
BHC, GAMMA- (LINDANE)
BICARBONATE (AS HC03 ION)
BI S ( 2 - CHLOROETHOXY) METHANE
BIS(2-CHLOROETHYL) ETHER
BIS (2-CHLOROISOPROPYL) ETHER
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
F/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/L
UG/L
UG/L
UG/L
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
%
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
%
%
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 9
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
6805
6185
2705
4004
4007
4005
4009
4006
4008
5885
2015
5862
2727
3017
7131
6810
7059
7085
7130
7030
6150
7737
5902
5801
7907
7905
7903
6173
6713
2030
2135
2136
5782
6295
5790
5904
7052
7080
4038
4037
BIS (2-ETHYLHEXYL) ADIPATE
BIS(2-ETHYLHEXYL) PHTHALATE
BISMUTH
BOD (LONG TERM)
BOD, 20 DAY
BOD, 5 DAY
BOD, 5 DAY (CARBONACEOUS)
BOD, 5 DAY (DISSOLVED)
BOD, 60 DAY
BOLSTAR (SULPROFOS)
BORON
BROMACIL
BROMATE
BROMIDE
BROMOBENZENE
BROMOCHLOROACETONITRILE
BROMOCHLOROMETHANE
BROMODICHLOROMETHANE
BROMOFORM
BROMOMETHANE
BROMOPHENYL PHENYL ETHER, 4-
BTEX
BUTACHLOR
BUTYLATE
BUTYLBENZENE, N-
BUTYLBENZENE, SEC-
BUTYLBENZENE, TERT-
BUTYLISOCYANATE, N- (BIG)
BUTYLISOCYANATE, N- (BIG)
CADMIUM
CALCIUM*
CALCIUM (LOW LEVEL)
CAPTAN
CARBAZOLE
CARBENDAZIM (MBC)
CARBOFURAN
CARBON DISULFIDE
CARBON TETRACHLORIDE
CARBON, PARTI CULATE ORGANIC
CARBON, PURGEABLE ORGANIC
UG/L
UG/L
UG/L
MG/L
MG/L
MG/L
MG/L
MG/L
MG/L
UG/L
UG/L
UG/L
UG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/L
MG/L
UG/KG
UG/KG
MG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/L
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 10
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
3022
4035
4036
3013
5871
1076
2715
4010
4011
5787
2728
5080
5165
5155
5135
5140
5142
5145
5824
3020
3021
8005
2729
6270
6076
6803
7150
5880
5874
7040
7125
7065
7025
6095
6240
6760
6125
1082
1083
1081
CARBON , TOTAL
CARBON, TOTAL ORGANIC
CARBON, TOTAL ORGANIC (DISSOLVED)
CARBONATE (AS C03 ION)
CARBOPHENOTHION (TRITHION)
CATION EXCHANGE CAPACITY (CEC)
CERIUM
CHEMICAL OXYGEN DEMAND
CHEMICAL OXYGEN DEMAND, DISSOLVED
CHLORAMBEN (AMIBEN)
CHLORATE
CHLORDANE (TECH. MIXTURE) /I
CHLORDANE, ALPHA- /2
CHLORDANE, GAMMA- /2
CHLORDENE/2
CHLORDENE, ALPHA- /2
CHLORDENE, BETA- /2
CHLORDENE, GAMMA- /2
CHLORDIMEFORM
CHLORIDE
CHLORINE
CHLORINE, RESIDUAL
CHLORITE
CHLORO-3-METHYLPHENOL, 4-
CHLOROANILINE, 4-
CHLOROBENZALDEHYDE, 0-
CHLOROBENZENE
CHLOROBENZILATE
CHLOROBENZILATE *
CHLOROETHANE
CHLOROETHYLVINYL ETHER, 2-
CHLOROFORM
CHLOROMETHANE
CHLORONAPHTHALENE , 2 -
CHLOROPHENOL, 2-
CHLOROPHENOL, 4-
CHLOROPHENYL PHENYL ETHER, 4-
CHLOROPHYLL A (FLUORIMETER)
CHLOROPHYLL A (HPLC)
CHLOROPHYLL A (UV/VIS)
MG/L
MG/L
MG/L
UG/L
UG/L
UG/L
MG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/KG
MG/KG
MG/KG
UG/KG
MQ/KG
MG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
%
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
%
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 11
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
5869
5792
7185
7180
7190
2040
2155
6195
2035
1090
1085
1100
1095
1018
1016
1015
1014
1020
2045
1025
1026
5863
3025
3026
3038
3039
3027
3028
3037
5803
5886
5783
5785
5858
5060
5857
5055
5856
5050
5859
CHLOROTHALONIL
CHLOROTHALONIL *
CHLOROTOLUENE, M-
CHLOROTOLUENE, 0-
CHLOROTOLUENE, P-
CHROMIUM
CHROMIUM, HEXAVALENT
CHRYSENE
COBALT
COLIFORM, FECAL MF/100ML
COLIFORM, FECAL MPN/100ML
COLIFORM, TOTAL MF/100ML
COLIFORM, TOTAL MPN/100ML
COLOR (ADMI @ ORIG. SMPL . PH)
COLOR (ADMI @ PH 7.6)
COLOR (APPARENT- PTCO)
COLOR (TRUE -PTCO)
CONDUCTIVITY
COPPER
CORROSIVITY (PH)
CORROSIVITY (STEEL)
CYANAZINE
CYANIDE*
CYANIDE (LOW LEVEL)
CYANIDE MICRODIFFUSION/METHOD 4282
CYANIDE WEAK DISSOCIABLE/METHOD 4500
CYANIDE, AMENABLE TO CHLORINATION
CYANIDE, FREE
CYANIDE, REACTIVE (AS HCN)
CYCLOATE
CYGON (DIMETHOATE)
DALAPON
DAS AN IT
ODD, 2,4'- (0,P'-DDD)
ODD, 4,4'- (P,P'-DDD)
DDE, 2,4'- (0,P'-DDE)
DDE, 4,4'- (P,P'-DDE)
DDT, 2,4'- (0,P'-DDT)
DDT, 4,4'- (P,P'-DDT)
DDT, TOTAL RESIDUES (TDDTR)
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
ADMI
PTCO
PTCO
UMHOS
UG/L
UG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
UG/KG
MG/KG
MG/KG
MM/YR
UG/KG
MG/KG
MG/KG
UG/KG
UG/KG
MG/KG
MG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
PH
MM/YR
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 12
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
5883
5839
5899
5825
5822
5819
1002
6165
6779
6205
5833
5860
6230
6111
5817
7908
5873
6811
7110
7720
7091
6772
5836
6806
6812
6035
7205
6025
7195
6030
7200
6200
5221
6714
6816
5881
7005
7055
DDVP
(2,2-DICHLOROVINYLDIETHYLPHOSPHATE)
DECACHLOROBIPHENYL (DCB)
DEBT
DBF
DELNAV (DIOXATHION)
DEMETON-S
DENSITY (20 DEC. C)
D I - N - BUTYL PHTHALATE
DI -N-BUTYLSEBACATE
DI -N-OCTYLPHTHALATE
DIALLATE
DIAZINON
DIBENZO (A, H) ANTHRACENE
DIBENZOFURAN
DIBROM (NALED)
DIBROMO-3-CHLOROPROPANE, 1,2-
DIBROMO-3-CHLOROPROPANE, 1,2- (DBCP)
DIBROMOACETONITRILE
DIBROMOCHLOROMETHANE
DIBROMOETHANE, 1,2- (EDB)
DIBROMOMETHANE
DIBUTYL TIN
DICAMBA
DICHLOROACETIC ACID
DI CHLOROACETONI TRI LE
DICHLOROBENZENE, 1,2- (EXTRACTABLE)
DICHLOROBENZENE, 1,2- (VOLATILE) *
DICHLOROBENZENE, 1,3- (EXTRACTABLE)
DICHLOROBENZENE, 1,3- (VOLATILE) *
DICHLOROBENZENE, 1,4- (EXTRACTABLE)
DICHLOROBENZENE, 1,4- (VOLATILE) *
DICHLOROBENZIDINE, 3,3'-
DI CHLOROBENZ I LATE
DICHLOROBENZOIC ACID
DICHLOROBENZOPHENONE, 4,4'-
( EXTRACTABLE) *
DICHLOROBENZOPHENONE, 4,4'-
(PESTICIDE)
DICHLORODIFLUOROMETHANE
DICHLOROETHANE, 1,1-
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
GM/ML
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
GM/ML
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 13
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
7070
7050
7061
7056
7060
6260
6261
5806
7090
7141
7057
6813
7076
7120
7095
5876
5045
6135
6003
5818
6110
7730
6255
6800
6275
6115
6120
5887
6775
6015
5810
1001
5842
5831
5896
5828
5889
5040
5070
DICHLOROETHANE, 1,2-
DICHLOROETHENE, 1,1-
(1, 1-DICHLOROETHYLENE)
DICHLOROETHENE, 1,2- (TOTAL)
DICHLOROETHENE, CIS- 1,2-
DICHLOROETHENE, TRANS -1,2-
DICHLOROPHENOL, 2,4-
DICHLOROPHENOL, 2,6-
DICHLOROPROP
DICHLOROPROPANE, 1,2-
DICHLOROPROPANE, 1,3-
DICHLOROPROPANE, 2,2-
DICHLOROPROPANONE, 1,1-
DICHLOROPROPENE, 1,1-
DICHLOROPROPENE, CIS- 1,3-
DICHLOROPROPENE, TRANS- 1,3-
DICOFOL (KELTHANE)
DIELDRIN
DI ETHYL PHTHALATE
DIETHYLENE GLYCOL MONOETHYL ETHER
DIMETHOATE
DIMETHYL PHTHALATE
DIMETHYLAMINE
DIMETHYLPHENOL, 2,4-
DINITROBENZENE, 1,3-
DINITROPHENOL, 2,4-
DINITROTOLUENE, 2,4-
DINITROTOLUENE, 2,6-
DINOSEB (DNBP)
DIPHENYL TIN
DIPHENYLHYDRAZINE, 1 , 2 -/AZOBENZENE
DIQUAT
DISTRIBUTION COEFFICIENT
DISULFOTHION (DISULFTON)
DISULFOTON
DISYSTON
DIURON
DURSBAN (CHLORPYRIFOS) (LORSBAN)
ENDOSULFAN I (ALPHA)
ENDOSULFAN II (BETA)
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 14
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
5075
5065
5125
5220
7725
5888
5811
5872
5843
7155
6001
4060
5854
5841
5882
1030
8015
6170
6130
3030
3031
5812
6715
1027
1048
1115
1120
5879
4051
4050
1035
1031
5010
5015
410
6784
409
424
6790
ENDOSULFAN SULFATE
ENDRIN
ENDRIN ALDEHYDE
ENDRIN KETONE
EPICHLOROHYDRIN
EPN
EPTC (EPTAM)
ETHION
ETHOPROP
ETHYL BENZENE
ETHYLENE GLYCOL
FDCC BLUE DYE
FENITROTHION (SUMITHION)
FENSULFOTHION
FENTHION
FLASH POINT
FLOW
FLUORANTHENE
FLUORENE
FLUORIDE
FLUORINE
FONOFOS (DYFONATE)
FORMALDEHYDE
FREE LIQUID
GEOTECH PARAMETERS
GROSS ALPHA, TOTAL
GROSS BETA, TOTAL
GUTHION
HALOGEN, PURGEABLE ORGANIC
HALOGEN, TOTAL ORGANIC
HARDNESS (AS CAC03 )
HEAT CONTENT (HEAT OF COMBUSTION)
HEPTACHLOR
HEPTACHLOR EPOXIDE
HEPTACHLORODIBENZODIOXIN (TOTAL)
HEPTACHLORODIBENZODIOXIN (TOTAL)
HEPTACHLORODIBENZODIOXIN,
1,2,3,4,6,7,8-
HEPTACHLORODIBENZOFURAN (TOTAL)
HEPTACHLORODIBENZOFURAN (TOTAL)
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/L
UG/L
UG/L
UG/L
MGD
UG/L
UG/L
MG/L
UG/L
UG/L
PC/L
PC/L
UG/L
UG/L
UG/L
MG/L
UG/L
UG/L
NG/L
NG/L
NG/L
NG/L
NG/L
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
UG/KG
ML /KG
PC/G
PC/G
UG/KG
UG/KG
BTU/#
UG/KG
UG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
DEC C
MG/KG
MG/KG
MG/KG
%
MG/KG
MG/KG
ML /KG
MG/KG
MG/KG
BTU/#
MG/KG
MG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 15
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
422
423
5190
5786
7910
6145
5200
6065
6090
408
6783
405
406
407
421
6789
417
418
419
420
6045
5185
6796
6712
6819
3023
5150
6225
2145
2146
2730
5840
6085
7733
7900
7906
2720
2060
HEPTACHLORODIBENZOFURAN,
1,2,3,4,6,7,8-
HEPTACHLORODIBENZOFURAN,
1,2,3,4,7,8,9-
HEPTACHLORONORBORNENE (HCNB)
HERBAN (NOREA)
HEXACHLORO- 1 , 3 -BUTADIENE
HEXACHLOROBENZENE (HCB) (EXTRACTABLE)
*
HEXACHLOROBENZENE (HCB) (PESTICIDE)
HEXACHLOROBUTADIENE
HEXACHLOROCYCLOPENTADIENE (HCCP)
HEXACHLORODIBENZODIOXIN (TOTAL)
HEXACHLORODIBENZODIOXIN (TOTAL)
HEXACHLORODIBENZODIOXIN, 1,2,3,4,7,8-
HEXACHLORODIBENZODIOXIN, 1,2,3,6,7,8-
HEXACHLORODIBENZODIOXIN, 1,2,3,7,8,9-
HEXACHLORODIBENZOFURAN (TOTAL)
HEXACHLORODIBENZOFURAN (TOTAL)
HEXACHLORODIBENZOFURAN, 1,2,3,4,7,8-
HEXACHLORODIBENZOFURAN , 1,2,3,6,7,8-
HEXACHLORODIBENZOFURAN , 1,2,3,7,8,9-
HEXACHLORODIBENZOFURAN, 2,3,4,6,7,8-
HEXACHLOROETHANE
HEXACHLORONORBORNADIENE (HCNBD)
HMX (EXPLOSIVE)
HYDROCARBONS, TOTAL PETROLEUM (TPHC)
HYDROCARBONS, TOTAL POLYAROMATIC (PAH)
HYDROGEN
HYDROXYCHLORDENE, 1- /2
INDENO (1,2, 3 -CD) PYRENE
IRON*
IRON (LOW LEVEL)
IRON, DISSOLVED
ISODRIN
ISOPHORONE
ISOPROPYL ETHER
ISOPROPYLBENZENE
ISOPROPYLTOLUENE, P-
LANTHANUM
LEAD
NG/L
NG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
NG/L
NG/L
NG/L
NG/L
NG/L
NG/L
NG/L
NG/L
NG/L
NG/L
NG/L
UG/L
UG/L
UG/L
MG/L
UG/L
UG/L
UG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
NG/KG
NG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
%
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 16
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
4015
2726
2140
2141
5875
5901
6804
2130
5807
5808
2122
6002
2124
2123
2120
2121
5788
7732
5877
5175
7142
7058
7086
5865
6280
7045
6066
6243
6242
6244
5853
5780
5837
6999
5999
7999
5802
2050
6807
LINEAR ALKYL SULFONATE
LITHIUM
MAGNESIUM*
MAGNESIUM (LOW LEVEL)
MALATHION
MALI NATE
MALONONITRILE
MANGANESE
MCPA
MCPP
MERCURY, DIMETHYL- (AS MERCURY)
MERCURY, DIMETHYL- (EXTRACTABLE)
MERCURY, MONOETHYL- (AS MERCURY)
MERCURY, MONOMETHYL- (AS MERCURY)
MERCURY, TOTAL
MERCURY, TOTAL UTL
MERPHOS (FOLEX)
METHANE
METHOMYL (LANNATE)
METHOXYCHLOR
METHYL BUTYL KETONE (2-HEXANONE)
METHYL ETHYL KETONE (2-BUTANONE)
METHYL ISOBUTYL KETONE
( 4 -METHYL - 2 - PENTANONE )
METHYL PARATHION
METHYL-4, 6 -DINITROPHENOL, 2-
METHYLENE CHLORIDE
METHYLNAPHTHALENE , 2 -
METHYLPHENOL, (3 -AND/OR 4-)
METHYLPHENOL, 2-
METHYLPHENOL, 4-
METOLACHLOR
MEVINPHOS (PHOSDRIN)
MIREX
MISCELLANEOUS EXTRACTABLES
MISCELLANEOUS PESTICIDES
MISCELLANEOUS VOLATILES
MOLINATE
MOLYBDENUM
MONOBROMOACETIC ACID
MG/L
UG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
NG/L
UG/L
NG/L
NG/L
UG/L
NG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/KG
MG/KG
MG/KG
MG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/KG
MG/KG
UG/KG
UG/KG
MG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 17
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
6771
6808
6774
6055
6010
6140
6075
2055
3035
3036
3033
3034
6096
6121
6126
6060
6778
3032
3065
3066
6245
6290
5170
5160
5195
411
6785
425
6791
5855
1011
1012
4020
4025
5866
5805
5796
5850
5172
3019
MONOBUTYL TIN
MONOCHLOROACETIC ACID
MONOPHENYL TIN
N-NITROSODI -N- PROPYLAMINE
N-NITROSODIMETHYLAMINE
N-NITROSODI PHENYLAMINE/DIPHENYLAMINE
NAPHTHALENE
NICKEL
NITRATE/NITRITE NITROGEN
NITRATE/NITRITE NITROGEN, DISSOLVED
NITRATE/NITROGEN
NITRITE/NITROGEN
NITROANILINE, 2-
NITROANILINE, 3-
NITROANILINE, 4-
NITROBENZENE
NITRODIPHENYLAMINE, 2-
NITROGEN
NITROGEN, TOTAL KJELDAHL
NITROGEN, TOTAL KJELDAHL (DISSOLVED)
NITROPHENOL, 2-
NITROPHENOL, 4-
NONACHLOR, CIS- /2
NONACHLOR, TRANS -/2
OCTACHLOROCYCLOPENTENE (OCCP)
OCTACHLORODIBENZODIOXIN
OCTACHLORODIBENZODIOXIN
OCTACHLORODIBENZOFURAN
OCTACHLORODIBENZOFURAN
OCTACHLORONAPHTHALENE
ODOR (60 DEGREE C)
ODOR (ROOM TEMP)
OIL AND GREASE
OIL IDENTIFICATION
ORDRAM
ORTHENE (ACEPHATE)
OXAMYL
OXYCHLORDANE
OXYCHLORDANE (OCTACHLOREPOXIDE) /2
OXYGEN
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/L
MG/L
MG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
NG/L
NG/L
NG/L
NG/L
UG/L
TOD
TOD
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
NG/KG
NG/KG
NG/KG
NG/KG
UG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
NG/KG
NG/KG
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
%
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
NG/KG
NG/KG
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
%
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 18
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
8011
8010
5815
5870
1047
5813
6286
6817
404
6782
403
416
6788
414
415
6818
6285
8020
1013
1021
1019
1022
6155
6250
4030
5900
5816
3040
3070
3072
3060
5784
5898
2160
2161
5897
5829
5903
5864
5797
OXYGEN, DISSOLVED (ELECTRODE)
OXYGEN, DISSOLVED (WINKLER)
PARAQUAT
PARATHION, ETHYL-
PARTICULATE, TOTAL SUSPENDED
PEBULATE (TILLAM)
PENTACHLOROANI SOLE
PENTACHLOROBENZENE
PENTACHLORODIBENZODIOXIN (TOTAL)
PENTACHLORODIBENZODIOXIN (TOTAL)
PENTACHLORODIBENZODIOXIN, 1,2,3,7,8-
PENTACHLORODIBENZOFURAN (TOTAL)
PENTACHLORODIBENZOFURAN (TOTAL)
PENTACHLORODIBENZOFURAN , 1,2,3,7,8-
PENTACHLORODIBENZOFURAN , 2,3,4,7,8-
PENTACHLORONITROBENZENE
PENTACHLOROPHENOL
PH (FIELD)
PH (LABORATORY)
PH (METHOD 9040)
PH (METHOD 9045)
PH (METHOD 9045B)
PHENANTHRENE
PHENOL
PHENOLS (4AAP)
PHORATE (THIMET)
PHOSDRIN
PHOSPHORUS, ORTHO- PHOSPHATE
PHOSPHORUS, TOTAL
PHOSPHORUS, TOTAL (LOW LEVEL)
PHOSPHORUS, TOTAL DISSOLVED
PICLORAM
PIPERONYL BUTOXIDE
POTASSIUM*
POTASSIUM (LOW LEVEL)
PROMETON
PROMETRYNE
PROPACHLOR
PROPAZINE
PROPICONAZOLE (TILT)
MG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
NG/L
NG/L
NG/L
NG/L
NG/L
NG/L
NG/L
UG/L
UG/L
SU
PHUN
PHUN
PHUN
PHUN
UG/L
UG/L
UG/L
UG/L
UG/L
MG/L
MG/L
UG/L
MG/L
UG/L
UG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
UG/KG
UG/KG
SU
PHUN
PHUN
PHUN
PHUN
UG/KG
UG/KG
MG/KG
UG/KG
UG/KG
MG/KG
MG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
MG/KG
MG/KG
SU
PHUN
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
NG/KG
MG/KG
MG/KG
SU
PHUN
PHUN
PHUN
PHUN
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 19
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
7901
6777
5890
6175
6296
6802
1112
1110
1113
1111
6797
1049
5826
9998
5500
400
300
6000
5800
2000
3000
5001
5000
7000
2070
5891
5893
3046
3045
2005
5210
5827
2150
2151
1053
1051
1052
1040
1045
1050
PROPYLBENZENE, N-
PROPYLENE GLYCOL DINITRATE
PYDRIN (FENVALERATE)
PYRENE
PYRIDINE
QUINUCLIDINOL, 3-
RADIUM-226, DISSOLVED
RADIUM-226, TOTAL
RADIUM-228, DISSOLVED
RADIUM-228, TOTAL
RDX (EXPLOSIVE)
REACTIVITY PARAMETERS
ROZOL
SAMPLE WT
SCAN, DDT
SCAN, DIOXIN
SCAN, EP-TOX
SCAN, EXTRACTABLES
SCAN, HERBICIDES
SCAN, METALS
SCAN, NUTRIENTS
SCAN, PCB
SCAN, PESTICIDES
SCAN, VOLATILES
SELENIUM
SENCOR (METRIBUZIN)
SEVIN (CARBARYL)
SILICA (SI02)
SILICON (SI)
SILVER
SILVEX (2,4,5-TP)
SIMAZINE
SODIUM*
SODIUM (LOW LEVEL)
SOLIDS, % FIXED
SOLIDS, % TOTAL
SOLIDS, % VOLATILE
SOLIDS, SETTLEABLE
SOLIDS, TOTAL
SOLIDS, TOTAL (VOLATILE)
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
PC/L
PC/L
PC/L
PC/L
UG/L
UG/L
NG/L
UG/L
UG/L
UG/L
MG/L
UG/L
UG/L
UG/L
UG/L
MG/L
UG/L
%
%
%
MG/L
MG/L
MG/L
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
PC/G
PC/G
PC/G
UG/KG
UG/KG
NG/KG
MG/KG
UG/KG
UG/KG
MG/KG
MG/KG
MG/KG
UG/KG
UG/KG
MG/KG
MG/KG
%
%
%
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 20
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
1065
1066
1070
1055
1060
1105
2080
7158
3050
3057
3055
3054
3056
5832
3024
4040
6780
6786
1074
1073
600
800
200
500
700
2732
2085
8025
1017
426
6792
5799
5820
6820
402
6781
401
413
SOLIDS, TOTAL DISSOLVED (105 DEGREE
C)
SOLIDS, TOTAL DISSOLVED (180 DEGREE
C)
SOLIDS, TOTAL DISSOLVED (VOLATILE)
SOLIDS, TOTAL SUSPENDED
SOLIDS, TOTAL SUSPENDED (VOLATILE)
STANDARD PLATE COUNT, 35C, 48HR/ML
STRONTIUM
STYRENE
SULFATE
SULFIDES (ION SELECTIVE ELECTRODE)
SULFIDES (METHYLENE BLUE METHOD)
SULFIDES, REACTIVE (AS H2S)
SULFITE
SULFOTEPP
SULFUR
TANNIN AND LIGNIN
TCDD, 2,3,7,8- (DIOXIN)
TCDF, 2,3,7,8- (DIBENZOFURAN)
TCLP (INORGANIC)
TCLP (ORGANIC)
TCLP SCAN, EXTRACTABLES
TCLP SCAN, HERBICIDES
TCLP SCAN, METALS
TCLP SCAN, PESTICIDES
TCLP SCAN, VOLATILES
TECHNETIUM
TELLURIUM
TEMPERATURE
TEQ (TOXIC EQUIVALENT VALUE, TCDD)
TEQ (TOXIC. EQUIV. VALUE, FROM
I-TEF/89)
TEQ (TOXICITY EQUIVALENT VALUE)
TERBUFOS
TERBUTRYN
TETRACHLOROBENZENE, 1,2,4,5-
TETRACHLORODIBENZODIOXIN (TOTAL)
TETRACHLORODIBENZODIOXIN (TOTAL)
TETRACHLORODIBENZODIOXIN, 2,3,7,8-
TETRACHLORODIBENZOFURAN (TOTAL)
MG/L
MG/L
MG/L
MG/L
MG/L
UG/L
UG/L
MG/L
MG/L
MG/L
MG/L
MG/L
UG/L
MG/L
NG/L
NG/L
MG/L
MG/L
MG/L
MG/L
MG/L
UG/L
DEC C
PPQ
NG/L
NG/L
UG/L
UG/L
UG/L
NG/L
NG/L
NG/L
NG/L
MG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/KG
NG/KG
NG/KG
MG/L
MG/L
MG/L
MG/L
MG/L
MG/KG
PPT
NG/KG
NG/KG
UG/KG
UG/KG
UG/KG
NG/KG
NG/KG
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
NG/KG
NG/KG
MG/L
MG/L
MG/L
MG/L
MG/L
MG/KG
PPT
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
NG/KG
NG/KG
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
%
NG/KG
NG/KG
MG/L
MG/L
MG/L
MG/L
MG/L
MG/KG
DEC C
PPT
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
NG/KG
NG/KG
NG/KG
NG/KG
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 21
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
6787
412
7151
7135
7140
6291
6766
7735
6799
2095
3029
2075
2090
6798
7145
5120
1075
5892
5823
6773
6809
6814
7912
6710
7909
6070
6705
7075
7115
7100
7010
6266
6265
7175
6815
5798
7904
7902
6801
TETRACHLORODIBENZOFURAN (TOTAL)
TETRACHLORODIBENZOFURAN, 2,3,7,8-
TETRACHLOROETHANE , 1,1,1,2-
TETRACHLOROETHANE , 1,1,2,2-
TETRACHLOROETHENE
( TETRACHLOROETHYLENE )
TETRACHLOROPHENOL, 2,3,4,6-
TETRACHLOROPHENOL, 2,3,5,6-
TETRAHYDROFURAN
TETRYL (EXPLOSIVE)
THALLIUM
THIOCYANATE
TIN
TITANIUM
TNT (EXPLOSIVE)
TOLUENE
TOXAPHENE
TOXICITY (EP)
TREFLAN (TRIFLURALIN)
TRIALLATE
TRIBUTYL TIN
TRICHLOROACETIC ACID
TRICHLOROACETONITRILE
TRICHLOROBENZENE, 1,2,3-
TRICHLOROBENZENE, 1,2,3-
TRICHLOROBENZENE, 1,2,4-
TRICHLOROBENZENE, 1,2,4-
TRICHLOROBENZENE, 1,3,5-
TRICHLOROETHANE, 1,1,1-
TRI CHLOROETHANE , 1,1,2-
TRICHLOROETHENE (TRICHLOROETHYLENE)
TRI CHLOROFLUOROMETHANE
TRICHLOROPHENOL, 2,4,5-
TRICHLOROPHENOL, 2,4,6-
TRICHLOROPROPANE, 1,2,3-
TRICHLOROPROPANONE, 1,1,1-
TRIDEMORPH (CALIXIN)
TRIMETHYLBENZENE, 1,2,4-
TRIMETHYLBENZENE, 1,3,5-
TRINITROBENZENE, 1,3,5-
NG/L
NG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
MG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
NG/KG
NG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
NG/KG
NG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section: 7
Revision: 1
Date: December 1, 1997
Page: 22
TEST
#
TEST
DESCRIPTION
UNITS UNITS UNITS UNITS UNITS
WATER SOLIDS TISSUE WASTE AIR
6776
1080
2731
2725
2100
5814
7054
7035
7156
7160
7157
7165
7170
2105
1084
2110
2115
TRIPHENYL TIN
TURBIDITY
URANIUM 234
URANIUM, TOTAL METAL
VANADIUM
VERNAM (VERNOLATE)
VINYL ACETATE
VINYL CHLORIDE
XYLENE, (M- AND/OR P-)
XYLENE, M-
XYLENE, 0-
XYLENE, 0- (MIXED)
XYLENES, TOTAL
YTTRIUM
ZEAXANTHIN A (HPLC)
ZINC
ZIRCONIUM
UG/L
NTU
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/L
UG/KG
MG/KG
MG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
UG/KG
MG/KG
UG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
MG/KG
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
UG/M3
Table 7-3
-------
Section 8
Revision: 0
Date: August 1990
Page 1
8. SAMPLE COLLECTION AND HANDLING
8.1. Sample Collection - Water
8.1.1. Water samples should be collected using standard field sampling
techniques consistent with the parameter being determined. Sampling
procedures are followed that minimize the possibility of sample
adulteration by either the sample collector or sampling device. Field
sample collection procedures are detailed in the Environmental
Investigations Branch, Standard Operating Procedures and Quality
Assurance Manual.
8.1.2. Sample Containers and Sample Preservation: Containers and
preservation techniques used must be consistent with the
recommendations contained in Table 8-1.
8.1.2.1. Selection of sample container types and preservation
techniques are further guided by the method being applied.
Additional guidance is available in references, e.g., Standard
Methods for the Examination of Water and Wastewater, ASTM, Book of
Standards, Volume 11.01 and 11.02 and EPA Methods for Chemical
Analyses of Water and Waste.
8.1.2.2. Samples must be accompanied by proper identification,
e.g., tags, labels, and chain-of-custody forms. Sample source,
date of collection, time of collection, and analysis required must
be provided.
8.1.2.3. Laboratory pure water blanks are prepared containing the
preservative for each type of sample collected, such as metals,
nutrients, phenols, etc. The same preservative is used for both
blanks and samples. The blanks are then analyzed along with the
samples for the constituents of interest.
8.2. Sample Handling - Water
8.2.1. Handling of samples must be done in a manner that both insures
the integrity of the sample and minimizes sample alteration. Sample
custody is handled according to the procedures outlined in Section 3
of this document.
8.2.2. When samples are not analyzed within the recommended holding
time, a notation of this will be made in the final data report.
8.2.3. Intralaboratory sample control and handling is the
responsibility of a project analyst.
8.3. Sample Collection and Handling - Other Substrates
8.3.1. Air, sediment, sludge, plant, and animal tissue samples, should
be collected using techniques consistent with the parameter being de-
termined and with the recommendations contained in Table 8-1.
Sampling procedures are followed that minimize the possibility of
sample adulteration either by the sample collector or sampling device.
8.3.2. Sediment and sludge samples for organic analyses must be
collected in glass containers with Teflon or aluminum-foil-lined caps.
Samples must be maintained at 4°C and analyzed as soon as possible
after collection. Sediment samples for extractable organic analyses
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 2
must be in 4 oz or 8 oz glass bottles. Samples for VGA analyses must
be in 40 ml VGA vials or 4 oz wide mouth jars.
8.3.3. Sediment and sludge samples for nutrient and metal analyses
should be collected in glass or plastic jars and cooled to 4°C.
8.3.4. Tissues from specific organs of fish or whole fish specimens
should be frozen immediately after collection.
8.3.4.1. If organic analyses are to be performed on fish tissue,
the tissue should be wrapped in aluminum foil (shiny side out)
prior to freezing.
8.3.4.2. For metal analyses, fish are wrapped in aluminum foil and
then placed in plastic bags. Past studies have indicated little
or no problems due to aluminum contamination.
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 3
RECOMMENDED SAMPLE CONTAINERS, SAMPLE PRESERVATION, SAMPLE HOLDING TIMES, AND
PERMISSIBLE SAMPLE TYPE
Parameter
Concentrated Waste Samples
Organic Compounds -
Extractable and
Pesticide/PCBs
Organic Compounds-
Purgeable (VGA)
Metals and Other
Inorganic Compounds
EP Toxicity
TCLP Purgeable
Organics (VGA)
TCLP Extractable
Organics, Herbicides and
Pesticide/PCBs
TCLP Mercury
TCLP Metals except
mercury
Flash Point and/or
Heat Content
Container
8-oz. widemouth glass
with Teflon liner
2-oz.(60-mL) VGA container
with Teflon lined Septum
sealed caps
8-oz. widemouth glass
with Teflon liner
8-oz. widemouth glass
with Teflon liner
2-oz.(60-mL) VGA container
with Teflon lined Septum
sealed caps1
8-pz. widemouth glass
with Teflon liner1
8-pz. widemouth glass
with Teflon liner1
Permissible
Preservative
None
ner None
m
None
None
ner None
Holding
Time
14 days
14 days
Not Speci-
fied
Not Speci-
fied
28 days2
Sample
G or C
G or C
G or C
G or C
G or C
Reference
A
A
A
B
A
None
None
Sample will be taken None
from TCLP Mercury container1
8-oz. widemouth glass
with Teflon liner
None
54 days"
56 days"
360 days"
Not Speci-
fied
G or C
G or C
G or C
G
A
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 4
Parameter
Fish Samples
Organic Compounds
Metals and Other
Inorganic Compounds
RECOMMENDED SAMPLE CONTAINERS, SAMPLE PRESERVATION, SAMPLE HOLDING TIMES, AND
PERMISSIBLE SAMPLE TYPE
Container
Wrap in aluminum foil
(Shiney side out)
Place in plastic zip-
lock bag
Permissible
Preservative
Freeze
Freeze
Holding
Time
Not Speci-
fied
Not Speci-
fied
Sample
G or C
G or C
Reference
Water - Low to Medium Concentration Samples
Alkalinity500-ml or 1-liter poly-3
Acidity
Bacteriological
Static Bioassay
Cool, 4° 14 days G or C C
ethylene with polyethylene
or polyethylene
lined closure
500-ml or 1-liter poly-3 Cool, 4°C 14 days G or C
ethylene with polyethylene
or polyethylene lined closure
250-ml glass with glass Cool, 4°C 6 hrs. G
closure or plastic capable
of being autoclaved
1-gal. amber glass Cool, 4°C 48 hrs. G or C
(not solvent rinsed)
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 5
RECOMMENDED SAMPLE CONTAINERS, SAMPLE PRESERVATION, SAMPLE HOLDING TIMES, AND
PERMISSIBLE SAMPLE TYPE
Parameter
Container
Permissible
Preservative
Water - Low to Medium Concentration Samples (contd)
Biochemical Oxygen
Demand (BOD)
Chloride
Chlorine Residual
Color
Conductivity
Chromium, Hexavalent
Cyanide
1/2-gal. polyethylene3 Cool, 4°C
with polyethylene closure
500-ml or 1-liter poly-3 None
ethylene with polyethylene
or polyethylene lined closure
In-situ, beaker or bucket
500-ml or 1-liter poly-3
ethylene with polyethy-
lene or polyethylene
lined closure
500-ml or 1-liter poly-3
ethylene with polyethy-
lene or polyethylene
lined closure
1-liter polyethylene with
polyethylene closure
1-liter or 1/2-gallon
polyethylene with poly-
ethylene or polyethylene
lined closure
None
Cool, 4°C
Cool, 4°C
Cool, 4°C
Holding
Time
48 hrs.
28 days
Analyze
Immediately
48 hrs.
28 days
G or C
G or C
G or C
G or C
(determine on
site if possible)
Ascorbic Acid4'5
sodium Hydroxide,
pH >12
Cool, 4°C
24 hrs.
14 days
Reference
C
C
C
C
C
C
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 6
RECOMMENDED SAMPLE CONTAINERS, SAMPLE PRESERVATION, SAMPLE HOLDING TIMES, AND
PERMISSIBLE SAMPLE TYPE
Parameter
Container
Permissible
Preservative
Water - Low to Medium Concentration Samples (Continued)
In-situ, beaker or bucket None
Dissolved Oxygen
(Probe)
Dissolved Oxygen
(Winkler)
EP Toxicity
Fluoride
Hardness
300-ml glass, BOD bottle
1-gal. glass (amber) with
Teflon liner
Fix on site,
store in dark
Cool, 4°C
1-liter polyethylene or3 None
1/2-gal. polyethylene with
polyethylene or polyethy-
lene lined closure
500-ml or 1-liter poly-
ethylene with polyethy-
lene or polyethylene
lined closure
50% Nitric4
Acid, pH <2
Holding
Time
Determine
On Site
8 hrs .
(determine
on site if
possible)
Not Speci-
fied
28 days
6 months
Reference
G or C
G or C
G or C
LAS
500-ml or 1-liter poly-3 Cool,
ethylene with polyethylene
or polyethylene lined closure
4°C
48 hrs.
G or C
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 7
RECOMMENDED SAMPLE CONTAINERS, SAMPLE PRESERVATION, SAMPLE HOLDING TIMES, AND
PERMISSIBLE SAMPLE TYPE
Parameter
Container
Water - Low to Medium Concentration Samples (Continued)
Metals 1-liter polyethylene
with polyethylene lined
closure
Metals, Dissolved
Nutrients6 1-liter polyethylene or
Oil and grease
Organic Compounds -
Extractable and
Pesticide Scan
No Residual Chlorine
Present
1-liter polyethylene
with polyethylene lined
closure
Permissible
Preservative
50% Nitric4
Acid, pH <2
Filter-on-site4
50% Nitric
Acid, pH <2
50% Sulfuric4 28 days G or C
1/2-gal. polyethylene Acid, pH <2
with polyethylene or poly- Cool, 4°C
ethylene lined closure
1-liter widemouth glass
with Teflon lined cap
50% Sulfuric4
Acid, pH <2
Cool, 4°C
1-gal. amber glass or
2 1/2-gal. amber glass
with Teflon lined cap
Cool, 4°C
Holding
Time
6 months
6 months
28 days
G or C
47 days7 G or C
Reference
A or C
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 8
RECOMMENDED SAMPLE CONTAINERS, SAMPLE PRESERVATION, SAMPLE HOLDING TIMES, AND
PERMISSIBLE SAMPLE TYPE
Parameter
Container
Water - Low to Medium Concentration Samples (Continued)
Residual Chlorine
Present
Organic Compounds -
Purgeable (VGA)
No Residual Chlorine
Present
No Residual Chlorine
Present
Residual Chlorine
Present
Organic Compounds -
Specified and
Pesticides (Non-
Priority Pollutants
such as Herbicides)
1-gal. amber glass or
2 1/2-gal. amber glass
with Teflon lined cap
3 40-ml vials with
Teflon lined septum
sealed caps
3 40-ml vials with
Teflon lined septum
sealed caps
3 40-ml vials with
Teflon lined
septum sealed caps
Permissible
Preservative
Add 3 ml 10%
sodium thiosulfate
per gallon
Cool, 4°C
4 drops 1+1
hydrochloric acid,
Cool, 4°C
Cool, 4°C
Footnote 8
1-gal. glass (amber) or
2 1/2-gal. glass (amber)
with Teflon lined closure
Footnote 9
Holding
Time
47 days7
14 days
7 days
14 days
47 days7
Sample
Type
G or C
G
G or C
Reference
A or C
A or C
A or C
A or C
A or C
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 9
RECOMMENDED SAMPLE CONTAINERS, SAMPLE PRESERVATION, SAMPLE HOLDING TIMES, AND
PERMISSIBLE SAMPLE TYPE
Permissible
Parameter
Container
Water - Low to Medium Concentration Samples (Continued)
Holding
Preservative
Sample
Time
Reference
Organic Halides
Total (TOX)
pH
Phenols
Phosphate-Ortho
Phosphorus, Total
Dissolved
Solids, Settleable
250-ml amber glass with
Teflon lined septum
closure
In-situ, beaker or
bucket
1-liter amber glass
with Teflon lined
closure
500-ml or 1-liter poly-
ethylene with polyethy-
lene or polyethylene
lined closure
500-ml or 1-liter poly-
ethylene with polyethy-
lene or polyethylene
lined closure
1/2-gal. polyethylene
with polyethylene
closure
Cool, 4°C 28 days G
H2S04 to pH<2
None
50% Sulfuric
Acid, pH <2
Cool, 4°C
Analyze
Immediately
28 days
Filter-on-site 48 hrs.
Cool, 4°C
Filter-on-site 28 days
50% Sulfuric
Acid, pH <2
Cool, 4°C
Cool, 4°C
48 hrs.
G
G
G
G
G or C
A or E
C
C
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 10
RECOMMENDED SAMPLE CONTAINERS, SAMPLE PRESERVATION, SAMPLE HOLDING TIMES, AND
PERMISSIBLE SAMPLE TYPE
Permissible
Parameter
Container
Water - Low to Medium Concentration Samples (Continued)
Holding
Preservative Time
Reference
Organic Halides
Total (TOX)
pH
Phenols
Phosphate-Ortho
Phosphorus, Total
Dissolved
Solids, Settleable
250-ml amber glass with
Teflon lined septum
closure
In-situ, beaker or
bucket
1-liter amber glass
with Teflon lined
closure
500-ml or 1-liter poly-
ethylene with polyethy-
lene or polyethylene
lined closure
500-ml or 1-liter poly-
ethylene with polyethy-
lene or polyethylene
lined closure
1/2-gal. polyethylene
with polyethylene
closure
Cool, 4°C 28 days G
H2S04 to pH<2
None
50% Sulfuric
Acid, pH <2
Cool, 4°C
Analyze
Immediately
28 days
Filter-on-site 48 hrs.
Cool, 4°C
Filter-on-site 28 days
50% Sulfuric
Acid, pH <2
Cool, 4°C
Cool, 4°C
48 hrs.
G
G
G
G
G or C
A or E
C
C
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 11
RECOMMENDED SAMPLE CONTAINERS, SAMPLE PRESERVATION, SAMPLE HOLDING TIMES, AND
PERMISSIBLE SAMPLE TYPE
Permissible
Parameter
Container
Holding
Soil, Sediment or Sludge Samples - Low to Medium Concentrations
EP Toxicity
TCLP Purgeable
Organics (VGA)
TCLP Extractable
Organics, Herbicides and
Pesticide/PCBs
TCLP Mercury
TCLP Metals except
mercury
Metals
Nutrients Including:
Nitrogen, Phos-
phorus, Chemical
Oxygen Demand
Organics -8-oz. widemouth glass
Extractable
8-oz. widemouth glass
with Teflon\ lined
closure
Two 2-oz. (60-mL) VGA
container with Teflon lined
Septum sealed caps1
8-oz. widemouth glass
with Teflon liner1
8-oz. widemouth glass
with Teflon liner1
Sample will be taken
from TCLP Mercury container
8-oz. widemouth glass
with Teflon lined closure
500-ml polyethylene with
polyethylene closure or
8 oz. widemouth glass
with Teflon lined closure
Cool, 4°C ASAP
with Teflon liner
Preservative
Cool, 4°C
None
None
None
None
Cool, 4°C
Cool, 4°C
G or C
Time
Type
Reference
Not
Speci- G or C
B
fied
28
54
56
360
days2 G or C
days2 G or C
days2 G or C
days2 G or C
6 months G or C
Not
fied
Speci- G or C
A
A
A
A
A
A
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 12
RECOMMENDED SAMPLE CONTAINERS, SAMPLE PRESERVATION, SAMPLE HOLDING TIMES, AND
PERMISSIBLE SAMPLE TYPE
Parameter
Container
Permissible Holding Sample
Preservative Time
Soil, Sediment or Sludge Samples - Low to Medium Concentrations
Organics -2-oz. (60 ml) VGA vial
Purgeable (VGA)
Other Inorganic
Compounds -
Including Cyanide
Cool, 4°C 14 days
w/Teflon lined septum seal
500-ml polyethylene
with polyethylene
closure or 8-oz. wide
mouth glass with
Teflon lined closure
Municipal Sludge - Low to Medium Concentrations
Organics -0 - 30% Solids
Extractable &
Pesticide/PCBs
Organics -
Purgeables (VGA)
Cool, 4°C 47 days7
1- gal. amber glass or
4 qt wide mouth bottle
(depending on consistency)
with Teflon lined cap
> 30% Solids
8-oz widemouth glass jar
with Teflon lined cap
0-1% Solids
3 40-mL VGA vials with
Teflon lined septum
sealed caps
> 1% Solids
2 2-oz (60 mL) VGA vials
w/ Teflon lined septum
sealed cap
G or C
Cool, 4°C
G or C
Cool, 4°C
4 drops 1+1
HC1 acid,
Cool, 4°C
Cool, 4°C
Reference
Not Speci-
fied
47 days7
14 days
14 days
G or C
A
G or C
G or C
G or C
NOTE; The Analytical Support Branch should be consulted prior to making any changes to any of the above sampling protocols.
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 13
RECOMMENDED SAMPLE CONTAINERS, SAMPLE PRESERVATION, SAMPLE HOLDING TIMES, AND
PERMISSIBLE SAMPLE TYPE
Abbreviations: G = Grab C = Composite
NS = Not Specified ASAP = As Soon As Possible
Footnotes:
1. The TCLP method requires the leaching of 25 gm of solid for volatile organics and 100 gm of solids for all other
parameters. If the sample is low in solids, additional sample containers may be required to provide sufficient
sample for the TCLP leach extraction.
2. These are total holding times for TCLP that cover sampling through analysis. The holding times are broken down as
follows: TCLP volatile organics - 14 days from collection to TCLP extraction plus 14 days from leach extraction
to analysis; extractable organics, pesticides & herbicides - 7 days from collection to TCLP extraction plus 7
days to solvent extraction of leachate plus 40 days to analysis of extract; mercury - 28 days from collection to
TCLP extraction plus 28 days to analysis; metals except mercury - 180 days from collection to TCLP extraction
plus 180 days to analysis.
3. Use indicated container for single parameter requests or 1/2-gallon polyethylene container for multiple parameter
requests except those including BOD. Use a 1-gallon polyethylene container for multiple parameter requests which
include BOD.
4. Must be preserved in the field at time of collection.
5. Use ascorbic acid only if the sample contains residual chlorine. Test a drop of sample with potassium iodide-starch
test paper; a blue color indicates need for treatment. Add ascorbic acid, a few crystals at a time, until a drop of
sample produces no color on the indicator paper. Then add an additional 0.6 g of ascorbic acid for each liter of
sample volume.
6. May include nitrogen series (ammonia, total Kjeldahl nitrogen, nitrate-nitrite), total phosphorus, chemical oxygen
demand and total organic carbon.
7. Samples must be extracted within seven days and extract must be analyzed within 40 days.
8. Collect the sample in a 4 oz. soil VGA container which has been pre-preserved with four drops of 25 percent ascorbic
acid solution. Gently mix the sample and transfer to a 40 ml VGA vial that has been prepreserved with four drops
1+1 HC1, cool to 4°C.
9. See Organic Compounds - Extractable (page 8 & 9 of 15). The Analytical Support Branch should be consulted for any
special organic compound analyses in order to check on special preservation requirements and or extra sample volume.
-------
Section: 8
Revision: 1
Date: December 1, 1997
Page: 14
RECOMMENDED SAMPLE CONTAINERS, SAMPLE PRESERVATION, SAMPLE HOLDING TIMES, AND
PERMISSIBLE SAMPLE TYPE
References
A. US-EPA, Test Methods for Evaluating Solid Waste, SW-846, 3rd Edition, Office of Solid Waste and Emergency
Response"! Washington,DC, Nov. 1986.
B. US-EPA, Test Methods for Evaluating Solid Waste, SW-846, Office of Solid Wastes, Washington, DC, 1982.
C. 40 CFR Part 136, Federal Register, Vol. 49, No. 209, October 26, 1984.
D. US-EPA, Region IV, Environmental Services Division, "Ecological Support Branch, Standard Operating
Procedures Manual," latest version.
E. EPA Interim Method 450.1, "Total Organic Halide," US-EPA, ORD, EMSL, Physical and Chemical Methods Branch,
Cincinnati, Ohio, November 1980.
F. US-EPA, Analytical Methods for the National Sewage Sludge Survey, Office of Water Regulations and
Standards, Washington, DC, Aug. 1989.
-------
Section 9
Revision: 0
Date: August 1990
Page 1
9. SAMPLE RECORDS AND DATA HANDLING
9.1. Sample accountability through the analytical process can be divided
into three major elements: (1) initial sample logging; (2) data
acquisition, and (3) documentation/storage. The laboratory location,
i.e., field or central, and the analyses requested will dictate the nature
and location of the sample and data records. In addition to the procedure
discussed in Section 3 of this manual, the following sections outline
current sample and data documentation procedures.
9.2. Sample Logging
9.2.1. Field Laboratory Sample Logging
9.2.1.1. Samples received at a field laboratory with accompanying
identification are logged into the field sample logbook. Samples
are assigned sample ID and station ID.
9.3. SESD Laboratory Sample Logging
9.3.1. Samples received at the SESD laboratory with accompanying iden-
tification are logged into the Region 4 Laboratory Information
Management System (R4LIMS). Samples are assigned consecutive log
numbers and logged as described above.
9.3.2. Also contained in the R4LIMS is a description of the dis-
position of every log number used, whether in the field or SESD
laboratory.
9.4. Analytical Data Handling
9.4.1. General
9.4.1.1. All raw analytical and instrument control data generated
in the laboratory are entered into bound data books or kept as
strip charts, or in instrument computer hardcopy, tape, or disk.
9.4.1.2. Information contained in these data logbooks includes the
following: project number, sample log number, parameter, date of
analysis, analyst, and all pertinent instrument identification
with analytical conditions. For non-computerized instruments all
calibration data, all readout data, calculation, final concen-
tration, and quality control data should also be recorded in the
log.
9.4.1.3. Final results of all analyses are provided in a standard
computerized report format and forwarded to the requester with
cover memorandum. Remarks should be used with reported data to
alert the user to some specific condition that affects the data.
9.4.2. More specific information on data handling is contained in
Sections 10 and 11.
9.5. Computerized Analytical Data System
9.5.1. Introduction
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9.5.1.1. The "Region 4 Laboratory Information Management System"
(R4LIMS) is a computerized data storage and laboratory information
management system. R4LIMS is utilized to store project
information as well as analytical results for specific samples.
9.5.1.2. R4LIMS is structured using the Oracle data base
management system. R4LIMS is a very flexible, interactive system
that integrates a variety of data processing functions within the
structure of one high level language.
9.5.1.3. R4LIMS is located on an IBM compatible computer at the
EPA, Region 4, Science and Ecosystems Technology Center in Athens,
GA. All communication with R4LIMS is through the EPA Local Area
Network (LAN) or Wide Area Network (WAN).
9.5.1.4. The sample custodian or field engineers are responsible
for logging new projects into the system. The sample custodian
logs sample related information into the system. Individual
analysts are responsible for entering results and verifying their
accuracy. The analysts are also responsible for reporting these
results to the requestor.
9.5.2. System Description
9.5.2.1. Project Logging
9.5.2.1.1. All Analytical projects, when initiated by the
requester, are logged into R4LIMS by either the project leader
or the sample custodian. Four digit project numbers (prefixed
by the two digit Fiscal Year) are assigned consecutively by
R4LIMS starting with FY-0001 at the beginning of each fiscal
year (e.g.,FY=89, 90, etc). This includes all identification
information for the project such as: project number, name of
project, location, date project to be conducted, requester and
program element, account number, time accounting information,
etc.
9.5.2.1.2. If the samples from the project are to be analyzed
by the Contract Laboratory Program (CLP), the project is
flagged as contract and pertinent information recorded such as
the contract laboratory name, case number, etc. are
identified.
9.5.2.1.3. Project log also stores non-sample related project
information from field investigations.
9.5.3. Sample Logging
9.5.3.1. All samples to be analyzed or tracked by R4LIMS are
logged into the system when received. The samples are numbered in
chronological order.
9.5.3.2. Data entered identifies and describes each sample, the
tests required, and the test numbers. Test numbers are maintained
in a file. A copy of the sample data log printout is filed in the
project file and another copy is sent to the requester along with
his copy of the custody record.
9.5.4. Analytical Data Processing
9.5.4.1. All analysis results are entered into the analytical
results data bases.
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9.5.4.2. The majority of all data is transmitted electronically
to the Computer system.
9.5.5. Other ADP Operations
9.5.5.1. Quality Control Data. Data bases are available, or will
be developed, for entering, storing and summarizing precision and
accuracy data generated during sample analysis. This may include
percent RSD, matrix spike recovery data, surrogate spike recovery
data, results of reference sample analyses, etc. Entry and
verification programs are available for this QC operation.
Summary programs are available for QC reports as required.
9.5.5.2. Sample Custody Information. Sample custody information,
such as custody room check-out and check-in information, sample
disposal information, etc., is kept in a custody log. Information
in this log and the sample log can be combined to give a complete
documentation of chain-of-custody for all samples. A module to
store this information is under development.
9.5.5.3. Time Accounting Information. A data base named ASBTIME,
divided into fiscal years, is maintained for storage and
manipulation of personnel time. All personnel time is entered by
employee, pay period, activity, account number and program
element. Summary reports can be generated based on the specific
elements required.
9.5.5.4. Accounting Reports. Various reporting modules are
available sample tracking and counting.
9.5.5.4.1. Sample Counter - Listing of number of samples
received by type, program element, and whether analyses were
performed by EPA or a contract lab.
9.5.5.4.2. Analysis Counter - Listing of analyses by
parameter, sample type, and whether analyses were conducted by
EPA or contract laboratory.
9.5.5.4.3. Total Accounting Report - Listing of analyses
within each program element by parameter, sample type and
whether analyses were conducted by EPA or contract laboratory.
9.5.5.5. Analytical Backlogs. Several types of backlogs can be
produced that give information on completed projects, incomplete
projects, and projects scheduled for the future. These are used
for tracking progress of samples being analyzed and for planning
analysis of samples not yet received. Tailor made requests can be
submitted to report as much information as needed, or as specific
as needed.
9.5.5.5.1. Analytical Backlog/Inhouse Samples: List projects
in chronological order with name, project number, program
element, requester, receipt data (actual or projected),
projected completion date, number of samples scheduled to be
received or number of samples received broken down into
analytical categories (inorganics, VGA, extractable organics,
pesticides, metals, and EP).
9.5.5.5.2. Analytical Backlog/Contractor Samples: Same
information as above except for contract samples.
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9.5.5.5.3. Detail Backlog: Listing of all required analyses,
by parameter test code, sample type, project number and sample
number. The listing separates in-house analyses from
contractor analyses if requested.
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10. ORGANIC ANALYSIS, PERFORMANCE QUALITY CONTROL AND ANALYTICAL OPERATION
10.1. Every element of environmental data acquisition, from sample
collection to final data reporting, has associated with it degrees of
error. The primary purpose of a total quality assurance program is the
optimization of conditions whereby the introduction of error can be either
precluded or substantially reduced. The operating procedures and quality
control checks practiced in this laboratory and outlined in this manual
are implemented to minimize the total error associated with data
generation. No number can be affixed to total error; however, analytical
performance is measurable and thus definable. Analyses are performed in
support of EPA Programs such as RCRA, Superfund, NPDES, Drinking Water,
Air Toxics, CERCLA, and other initiatives. The methods used in organic
analysis are based primarily on RCRA guidance. Modifications have been
made to increase quality, efficency, and to support specific requests of
the various programs.
10.2. General
10.2.1. It is the policy of this Branch to apply the best laboratory
practices, use approved methodology when mandated by regulation and
use standardized methodology to meet quality requirements designated
in the following paragraphs. When approved methodology is not
applicable, fully document all operations associated with the
generation of data.
10.2.2. Safety precautions associated with the safe handling of toxic
chemicals, reagents, solutions and samples will be observed and
regarded as a first order responsibility of the analyst. The analyst
will take the necessary precautions to prevent exposure or harm to any
employee.
10.3. Organic Methodology
10.3.1. Section 7 contains a listing of individual analytical methods
used. Table 10-1 contains a listing of current analytical descriptors
associated with these methods. These descriptors are used in sample
vial labeling and file naming conventions in GC and GC/MS computer
systems as appropriate.
10.4. Sample Preparation of Semivolatile fraction and Pesticide fraction
10.4.1. General Quality Control Requirements
10.4.1.1. All glassware and glass wool is rinsed sequentially with
methanol, acetone, and the sample solvent, just prior to use.
10.4.1.2. A reagent blank is set up with each set of 20 or less
samples when an extraction is performed or when simply putting a
chemical waste sample in solution. Include all glassware and
extraction equipment.
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10.4.1.2.1. Water sample - Use reagent grade water and all
solvents.
10.4.1.2.2. Soil/Sediment/Tissue sample - Use the appropriate
amount of anhydrous sodium sulfate and all solvents and
reagents.
10.4.1.2.3. Waste sample - Use anhydrous sodium sulfate (if
used in the samples) and all solvents and reagents.
10.4.1.3. Duplicate matrix spikes (spike two portions of a sample
expected to contain no organics or low levels) and/or duplicate
method spikes (media known to be organic free, i.e., reagent grade
water or for solids, clean sand and anhydrous sodium sulfate).
Duplicate spikes are included with each set of 20 or less samples.
10.4.1.4. A gel permeation chromatograph (GPC) calibration
standard consisting of corn oil, bis(2-ethylhexyl)phthalate, 4-
nitrophenol, perylene, and sulfur must be passed through the GPC
system prior to beginning cleanup of samples, once/month. This
must be done more frequently after repacking the column. Adjust
the collection volume to recover >_ 85% of the bis (2-
ethylhexyl)phthalate.
10.4.2. General Extraction Protocols
10.4.2.1. Determination of percent moisture
10.4.2.1.1. Sediment/Soil - Percent moisture must be
determined on all samples unless otherwise specified.
10.4.2.1.2. Waste - Determine percent moisture if the sample
is primarily heavily contaminated soil or a dry solid. This
must be done in an oven located in a hood. Waste that is
primarily a non-aqueous liquid does not require a percent
moisture determination. See Section 3.5.6.2 for additional
handling guidance.
10.4.2.2. Chlorinated water samples must be dechlorinated with
sodium thiosulfate prior to extraction.
10.4.2.3. All water samples extracted for pesticide analysis from
compliance sampling inspections (CSI) and toxic compliance
sampling inspections (XCSI), and all water extracts with color
must be passed through the alumina microcolumn.
10.4.2.4. If the final extract volume is greater than 1 mL,
transfer at least 1 mL to a GC vial. The remainder is discarded.
Never leave any extracts in volumetric flasks.
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10.4.2.5. Labeling Laboratory Sample Containers
10.4.2.5.1. One or more of the analytical descriptors should
be used as a suffix after each sample number recorded on the
sample vial and in the extraction logbook (i.e. 10234SLS for a
semivolatile low soil extract of sample 10234). See Table
10-1.
10.4.2.5.2. Record on the blank, spikes, and surrogate
included with the set the inclusive numbers of the samples
that were extracted together.
10.4.2.5.2.1. B - Blank, include inclusive sample
numbers after B (e.g. B05440-05461SLW)
10.4.2.5.2.2. S -Spike, include sample designation and
sample number spiked after S (e.g. S12440P for pesticide
spike of sample 12440)
10.4.2.5.2.3. X and Y - To designate duplicate
extractions.
10.4.2.5.2.4. R, R2, R3, etc. - To designate when re-
extractions are required; designate them with an "RX"
depending on the number of re-extractions required.
10.4.2.5.2.5. A mark is placed on each sample vial to
indicate the bottom of the meniscus when vialed.
10.4.2.5.2.6. The final extract volume is recorded on all
vials and in the extraction logbook.
10.4.3. Extraction Logbook
10.4.3.1. All pertinent information requested on the sheet will be
properly recorded prior to submittal to the GC and or GC/MS
chemists. See Forms 10-1, 10-2, and 10-3.
10.4.3.2. List the blank and spike in the sample number column.
Record the range of sample numbers that the blank and spike
represent (example: blank 01411-25; spike 01411-25).
10.4.3.3. Record the extract volume on the sheet.
10.4.3.4. Record the designation for extract type after the sample
number.
10.4.3.5. Record unusual occurrences during sample preparation,
e.g., unusual appearance of sample, problems during extraction,
losses of extract, precipitation and/or increase in viscosity
during final evaporation, etc.
10.4.3.6. All calculations must be checked by a second person and
the extraction sheet initialed by both analyst and checker.
10.4.3.7. Do not erase or use "Liquid Paper" to correct any error.
Put one line through the error with initials and date.
10.4.4. Sample Vial Handling
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10.4.4.1. Put all vials on one board or container that pertain to
a set of samples that were extracted together, and label the board
with the projects' names. The chemist in charge of the extraction
laboratory should check the labeling of all vials. Do not put two
separate extraction batches on one board.
10.4.4.2. Sample vials and copies of the extraction sheet should
be given to the chemist in charge of the pesticide or semivolatile
analysis.
10.4.4.3. Include a surrogate standard solution with each set of
samples. This solution should be at the same concentration as in
the sample extracts.
10.5. Surrogate Standards
10.5.1. A surrogate standard, a chemically inert compound not expected
to occur in an environmental sample, is added to each sample just
prior to extraction or purging. The recovery of the surrogate
standard is used to monitor for unusual matrix effects, gross sample
processing errors, etc. Surrogate recovery is evaluated by
determining whether the measured concentration falls within the
statistical acceptance limits.
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10.5.2. Following are the surrogate standards and the corresponding
spike solution concentrations currently used by ASB:
Semivolatile-Base/Neutral
Nitrobenzene - d5
Terphenyl - d!3
Semivolatile-Acid
2,4,6-tribromophenol
phenol - d6
Volatiles-Water/Soil/Sed
toluene - d8
p-bromofluorobenzene
dibromofluoromethane
Sol'n Cone.
lOOOng/uL
lOOOng/uL
Sol'n Cone.
lOOOng/uL
lOOOng/uL
Sol'n Cone.
Method 8260
modifications
Spike Amt per Final
Extract Volume
50uL/lmL
Spike Amt per Final
Extract Volume
50uL/lmL
Spike Amt per Final
Purge Volume
Method 8260
modifications
Volatiles-Air Canister
Sol'n Cone.
Spike Amt per Final
Canister Volume
toluene - d8
p-bromofluorobenzene
dibromofluoromethane
TO-14
modifications
TO-14
modifications
Organo-chlorine
Pesticides and PCBS
dibutylchlorendate (DEC)
2,4,5,6 tetrachloro-
meta-xylene (TCMX)
Phenoxy Herbicides
Sol'n Cone.
40ng/uL
20ng/uL
Sol'n Cone.
Spike Amt per Final
Extract Volume
25uL/lmL
Spike Amt per Final
Extract Volume
DCAA (2,4 -Dichlorophenyl-
Acetic Acid) 20ng/uL
Organonitrogen/phosphate
Pesticide Sol'n Cone.
IQOuL/lOmL
Spike Amt per Final
Extract/Purge Volume
2-Nitro-m-xylene (NMX)
250ng/uL
50uL/lmL
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10.5.3. Calculation of Acceptance Limits (All calculations are
performed by the laboratory's computer data system).
10.5.3.1. Calculate average recovery (R) and standard deviation
(S), in percent recovery, for each surrogate standard using the
entire data base over a set period of time, e.g. annually.
10.5.3.2. Values greater than 3 standard deviations are eliminated
from the data base as outliers. The limits are then re-calculated
as above.
10.5.3.3. Calculate method performance criteria and define the
performance of the laboratory for each surrogate standard being
used.
10.5.3.4. Calculate upper and lower control limits for method
performance and surrogate standard recovery:
Semivolatiles and Pesticides:
Upper Control Limit (UCL) = R + 2 S
Lower Control Limit (LCL) = R - 2 S
Volatiles:
Upper Control Limit (UCL) = R + 3 S
Lower Control Limit (LCL) = R - 3 S
10.5.3.5. Surrogate limits are calculated annually.
10.5.4. Analysis of Surrogates
10.5.4.1. Purgeable and Extractable Organics - All samples and
blanks are to be analyzed by GC/MS. The GC/MS analyst is
responsible for calculating recovery, recording the data in the
GC/MS logbook and transferring it to the PC data base using
appropriate software.
10.5.4.2. Pesticides/PCBs - Most samples and blanks will be
analyzed by GC/EC or GC/NP for pesticides/PCBs. The analyst is
responsible for keeping a hardcopy of the pesticide surrogate data
in the project file as well as transferring the data to the
computer data system. See Form 10-9.
Percent Surrogate Recovery = Od X 100
Qa
Where Qd = Quantity determined by analysis
Qa = Quantity added to the sample
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10.5.5. Evaluation of Surrogate QC Data
10.5.5.1. Purgeable Organics - If surrogate standard recovery of
any one surrogate is out of limits in a blank or a sample, proceed
with corrective action.
10.5.5.2. Extractable Organics - If recovery of two surrogates
from the same sample pH fraction are out of limits, proceed with
corrective action. See below for action on blanks and matrix or
method spikes.
10.5.5.3. Pesticide/PCB - Since GC/EC data is much more subject to
interference than GC/MS, two surrogate standards are added to each
sample: Dibutylchlorendate (DEC) and 2,4,5,6-tetrachloro-meta-
xylene (TCMX). DEC is the primary surrogate and should be used
whenever possible. However, DEC is subject to acid and base
degradation so, if DEC recovery is low or compounds interfere with
DEC, then the TCMX should be evaluated for acceptance. Proceed
with corrective action when both surrogates are out of limits for
a sample. See below for action on blanks and matrix or method
spikes.
10.5.5.4. At present there are no QC limits for the herbicide and
organo-nitrogen/phosphorus surrogates.
10.5.5.5. Corrective Action
10.5.5.5.1. Check for instrumental problems and make any
necessary corrections. Redilute the extract (if necessary),
and then rerun the sample. This also applies to blanks and
matrix or method spikes.
10.5.5.5.2. If no instrumental problems exist, the sample
should be re-extracted and re-analyzed. However, if the
sample data from the first analysis has to be reported, report
the data from the first analysis and flag it with a "J". If
surrogates from extractable or pesticide blanks exceed the
above criteria, but one or more samples in the set have
acceptable surrogate limits, evaluate the blanks carefully to
see if they still provide sufficient information to determine
the presence of contaminants in the samples. For matrix or
method spikes which are already prepared in duplicate, no re-
extraction is required. If both duplicates are out,
indicating a matrix effect, record matrix surrogate recovery
data for both.
10.5.5.5.3. If the surrogates are still outside the acceptance
limits after repurging or re-extraction, the data should be
reported and flagged with a "J".
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10.5.6. Reporting Surrogate Data
10.5.6.1. All surrogate data must be transferred to the computer
data system except for surrogate data that is known to be in
error; i.e., acid was not added to water prior to water
extraction, valve on GPC instrument was leaking caused cross-
contamination, purge and trap system contamination, etc. DEC
data whose pH is outside neutral range during extraction or
cleanup should also not be recorded.
10.6. Internal Standards
10.6.1. Internal standards, compounds not expected to occur in an
environmental sample, are added to each sample just prior to
instrumental analysis.
10.6.2. Following are the internal standards and the corresponding
spike solution concentrations currently used by ASB:
Semivolatile Sol'n Cone.
1,4-Dichlorobenzene-d4 lOOOng/uL
Naphthalene-dS lOOOng/uL
Acenaphthene-dlO lOOOng/uL
Phenanthrene-dlO lOOOng/uL
Chrysene-dl2 lOOOng/uL
Perylene-dl2 lOOOng/uL
Volatiles-Water/Soil/Sed Sol'n Cone.
Amt per Final
Extract Volume
IQuL/lmL
Spike Amt Per
Final Volume
Difluorobenzene
Chlorobenzene-d5
1,4-Dichlorobenzene-d4
Volatiles-Air Canister
Method 8260
modifications
Sol'n Cone.
Method 8260
modifications
Spike Amt Per
Final Volume
Difluorobenzene
Chlorobenzene-d5
1,4-Dichlorobenzene-d4
TO-14
modifications
TO-14
modifications
10.7. GC Analysis
10.7.1 GC Screening
10.7.1.1 It is suggested that a GC Screening of all samples be
conducted before the GC Analytical run. The following set-up is an
example for screening all types of matrices.
10.7.1.1.1 Begin with an Evaluation Mix and a lOOx dilution of
the Surrogate standard or the dilution that is required for
the surrogate to be within the standard curve range.
10.7.1.1.2 Make a 100X dilution of all extracts and run them
next including the blank and spike. Include a standard and an
Evaluation Mix after each 20 samples.
10.7.1.1.3 Repeat the 100X dilution of the Surrogate standard
at the end of the screening run.
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10.7.1.2 This run of 100X dilutions may be used to calculate the
Surrogate recovery if the following procedures were done:
10.7.1.2.1 An Evaluation Mix is run both at the beginning and
at the end of the run.
10.7.1.2.2 A QC curve of the Surrogate standard is run before
or immediately after the screening run.
10.7.2. GC Logbook
10.7.2.1. Be sure all pertinent information requested on the sheet
is properly recorded. See Form 10-8. An analyst should keep
track of projects on a master log sheet. See Form 10-10.
10.7.2.2. All analysts that participated in making dilutions and/
or loading the auto-sampler must record their names. This includes
analysts that add extracts at the end of the run to verify or
check on samples from other sets of samples.
10.7.2.3. Record inclusive sample numbers for each blank and
spike.
10.7.2.4. Record the level of concentration of standard and the
name of the standard (e.g., Red Pest Mix VI).
10.7.2.5. Record all information that is needed to identify the
sample vial (see Table 10-1) .
10.7.2.6. Record all dilutions with dilution factor, times sign,
and original volume (example: 10 X 1 mL or 10,000 X of 25 mL).
10.7.2.7. A copy of the logbook page should be kept in the project
file.
10.7.3. Follow the procedure for setting up instruments for data
analysis, i.e., for collecting, processing, analyzing, and reporting
data, using a PC with a pesticide analysis software program. Make
sure that the correct time and date are on all QC runs and reports.
This can be done by making sure that the processing PC and the
acquiring GC are set to the correct time and date.
10.7.3.1. Build a new method or edit an existing one that is
suitable for the analysis as required by the software program
being used. This will include developing or updating the
instrument, processing and calibrating parameters for the method.
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10.7.3.2. Create a report format for the method.
10.7.3.3. Create a new Sequence file for each GC run. The
sequence should include information to identify the sample, vial,
and method used.
10.7.3.3.l.Give the sequence file a singular name associated
with the project name.
10.7.3.4. Download a sequence or method file to the interface.
10.7.3.5. Set the GC conditions for the run and then start the GC
which will begin data collection.
10.7.3.6. After collection, process the data using a pesticide
analysis software protocol.
10.7.3.7. Build summary reports for QC linear curve, surrogate,
and sample results.
10.7.3.8. Archive and back up all files associated with an
analytical run.
10.7.4. Dilutions and Sample Vials.
10.7.4.1. The GC chemist is responsible for all sample extract
vials received from the extraction lab. The chemist is
responsible for the vials until GC analysis is complete, and the
vials have been stored in proper order or have been discarded.
10.7.4.2. Re-mark all vials at the meniscus after dilutions or GC
analysis. Do not allow original vials to remain in auto-samplers
over the weekend.
10.7.4.3. One sample from every set of samples requiring dilutions
will be analyzed in duplicate. Select the sample requiring the
greatest dilution that has usable data. If the original dilution
was made using the auto-diluter, then its duplicate should be made
manually, or by a different auto-dilute, or by another analyst.
10.7.4.4. Record the QC dilutions in the GC Logbook.
10.7.4.5. The duplicate shall be made and analyzed as soon as
possible after the initial dilutions are analyzed.
10.7.4.6. Data from duplicate of the greatest dilution containing
usable peak(s) shall agree within 10% RSD.
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10.7.4.7. If data difference is greater than 10% RSD, resolve the
problem before continuing by:
10.7.4.7.1. Re-diluting the sample extract in question.
10.7.4.7.2. If unsatisfactory results are obtained, then all
samples shall be re-diluted from the original extracts and
analyzed again.
10.7.4.8. The auto-diluter must be rinsed at least 5 times when
diluting sample extracts known or suspected of containing high
compound concentrations. Rinsing 3 times is satisfactory for most
routine samples.
10.7.5. Labeling Chromatograms and/or Data Packet.
10.7.5.1. The data packet should contain the following
information: Logbook number and page, project name, who calculated
the data, who checked the calculation, and when and who recorded
the data and QC.
10.7.5.2. Individual chromatograms should contain information to
identify the sample analyzed, volume and dilutions, and
calculations used.
10.7.5.3. Do not erase or use "Liquid Paper" to correct any
errors. Put one line through the error with initials and date.
10.7.6. Retention Time (RT) Windows
10.7.6.1. Retention time window size
10.7.6.1.1. Make a minimum of 1 injection of all single
component mixtures, multi-response pesticides, and PCBs at 24-
hour intervals throughout the course of a 72-hour (3 days)
period. However, 1 injection at 24-hour intervals throughout
the course of a 120-hour (5 day) period is preferred.
10.7.6.1.2. Calculate the standard deviation of three
(preferably five) absolute retention times for each single
component pesticide. For multi-response pesticides/PCBs,
choose one major peak from the group of peaks and calculate
the standard deviation of the retention time of that peak.
10.7.6.1.3. Three times the standard deviation of the
retention time for each pesticide/PCB will be used to
establish the retention time window or, (+/-) 0.03 min for
capillary columns; however, the experience of the analyst
should weigh heavily in the interpretation of chromatograms.
For multi-response pesticides/PCBs, the analyst should utilize
the retention time window but should primarily rely on pattern
recognition. If the standard deviation of any compound is
zero, use the standard deviation of any compound near the same
retention time.
10.7.6.1.4. The laboratory must calculate retention time
windows for each pesticide/PCB on each GC column used at the
beginning of any new GC instrument setup or whenever a new GC
column is installed.
10.7.6.2. Daily retention time windows
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10.7.6.2.1. Inject all individual standard mixes and all
multi-response pesticides/PCBs. To establish the RT window
for the pesticides/PCBs of interest, use the absolute RT from
the above chromatograms as the midpoint, and (+/-) three times
the standard deviation calculated in Section 10.7.5.1.3. as
the range or (+/-) 0.03 min for capillary columns.
10.7.6.2.2. Intersperse a standard mixture after every 20
samples but no less than every 12 hours as a minimum to verify
that standard retention times are falling within the windows.
Any pesticide outside of its established time window requires
immediate investigation and correction before continuing the
analysis. New absolute retention time windows must be
established, unless instrument maintenance corrects the
problem. Then re-inject all samples following the last
standard meeting the criteria. If no target compounds are
present in the samples, and the surrogate recovery is within
limits, no re-injection is necessary and MQLS may be
calculated.
10.7.7. Calibration
10.7.7.1. The gas chromatographic system should be calibrated
using the external standard technique for all columns used for
quantitation and after a new column is installed.
10.7.7.1.1. Prepare calibration standards at a minimum of
three concentration levels (preferably five) for each compound
of interest. One level of the external standards should be at
a concentration near, but above, the MDL and the other
concentrations should define the working range of the
detector. This should be done on each quantitation column,
each new instrument, and whenever the new calibration
verification standard falls outside of accepted criteria. See
SW-846, 8000 methods. See Table 10-2.
10.7.7.1.2. Using injections of 1 to 5 uL of each calibration
standard, tabulate peak height or area responses against
amount injected. The results can be used to prepare a
calibration curve for each compound.
10.7.7.1.3. If the run is for confirmation (no quantitation)
or for MQLs, the linearity check is not required. For MQLs,
however, a standard at the MQL level of QC-1 is required.
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10.7.7.1.4. The %RSD is calculated on representative compounds
of interest (e.g., Lindane, Endrin, p,p'-DDT, and
Methoxychlor). If the %RSD is (=) 20 %RSD for the
representative compounds, all compounds are assumed to be
linear. When any compound is greater than 20% RSD, take the
average %RSD of all target compounds. If the average %RSD is
less than or equal to 20% RSD, the instrument is passes the
linearity criteria. See SW-846, 8000 methods. Calculate the
%RSD for the representative compounds as follows: Determine
the response factor for each concentration by dividing the
area or peak height by the amount injected. Calculate the
standard deviations of the 5 response factors using:
/ 2 2
s=(+/-)/ nE X - (E X)
/ n(n-l)
and then %RSD:
%Relative Standard Deviation = Standard Deviation x 100
Mean
%RSD may also be calculated using the S factor table.
10.7.7.1.5. If the linearity criteria is exceeded see Section
10.7.9 for suggested maintenance.
10.7.7.1.6. The %RSD may be calculated using 3, 4, or 5
concentration levels. However, any peaks quantitated must
fall within the selected concentration range.
10.7.7.1.7. The calculation for %RSD for the representative
compounds must be included in the chromatogram package.
10.7.8. GC Analytical Performance Criteria
10.7.8.1. As a guideline adjust the carrier flow rate or head
pressure and oven temperature so that the standards will be eluted
within 30 minutes on capillary columns.
10.7.8.2. Inject a GC/EC column performance mix consisting of:
ng/uL
lindane 0.010
aldrin 0.010
endrin 0.025
p,p'-DDT 0.030
at the beginning of each run and after each set of 20 samples but
no less than every 12 hours. Calculate the percent breakdown (BD)
as follows:
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Percent BD = Total DDT degradation peak area (DDE + ODD) x 100
for 4,4'-DDT Total DDT peak area (DDT + DDE + ODD)
Percent BD for Endrin =
Total Endrin degradation peak areas (E. Aid. + E. Ketone) x 100
Total Endrin Peak Area (Endrin + E. Aldehyde + E. Ketone)
See suggested maintenance in Section 10.7.8. if degradation
exceeds 20%.
10.7.8.3. All calculations for percent breakdown must be part of
the data package.
10.7.8.4. For calibration verification target analytes required in
the project plan must be injected at the beginning of each 12 hour
period with the following exception for the Aroclors. For sites
that require PCB analysis include only the Aroclors that are
expected to be found at the site. If PCBs are required but it is
unknown which Aroclors may be present, the mid-concentration
Aroclors 1242/1260 mixture only need be injected. However, if
specific Aroclors are found at the site during the initial
screening, it is required that the samples containing Aroclors be
reinjected with the proper mid-concentration Aroclor standards.
See SW-846, 8000 methods.
10.7.8.5. Intersperse a mid-point calibration standard after every
20 samples but no less than every 12 hours as a minimum. It is
recommended that a calibration standard be included after every 10
samples for highly contaminated samples to minimize the number of
repeat injections. The calibration factor of a specific standard
compound shall not exceed a 20% difference from the initial
response when screening samples or more than (+/-) 15% for any
standard used for quantitating. When one or more of the
compounds are greater than +/- 15%, take the average % of all
compounds. If the average % is less than +/- 15%, the calibration
verification is considered acceptable. See SW-846, 8000 methods.
Calibration Factor = Total Response of
Peak* Amount injected (in
nanograms)
*For multi-response pesticides/PCBs use the
response of the major peaks used for quantitation.
Percent Difference= R1-R2 X 100
Rl
Where Rl = Calibration Factor from first analysis and
R2 = Calibration Factor from succeeding analysis.
10.7.8.5.1. All calculations for percent difference must be
included in the data package.
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10.7.8.6. Check retention time windows by analyzing a calibration
standard after every 20 samples but no less than every 12 hours
and compare it to the standard at the beginning of the 12 hour
shift. If retention time is outside of calibrated window (see
10.7.6.2.) (+/- .03min or 3 standard deviations) check the GC for
problem (i.e., septum and/or column leaks, bad syringe, etc.)
10.7.8.7. Check for peak tailing and take corrective action if
necessary.
10.7.8.8. The %RSD may be calculated using 3 to 5 concentration
levels. However, any peaks quantitated must fall within the
linear range and the required minimum quantitation limits must be
met. The calculation for % RSD for the representative compounds
must be included in the chromatogram package.
10.7.9. Suggested Maintenance
10.7.9.1. Corrective measures may require any one or more of the
following remedial actions:
10.7.9.1.1. Capillary columns-Turn off both oven and injection
ports. Clean and deactivate the glass injector port insert
or replace with a cleaned and deactivated insert. Remove the
analytical column when the oven has cooled. Break off the
first few inches of the column (up to one foot) on the
injector port side and then reconnect the column. If these
procedures fail to eliminate the degradation problem, it may
be necessary to deactivate the metal injector body and/or
replace the column.
10.7.9.1.2. Metal Injector Port-Turn off the oven and
injection port heaters and remove the analytical column when
the oven and the injection port heaters have cooled. Remove
the glass injection port insert (in instruments with off-
column injection). Inspect the injection port and removed any
noticeable foreign material.
10.7.9.1.2.1. Place a beaker beneath the injector port
inside the GC oven. Using a wash bottle, serially rinse
the entire inside of the injector port with acetone,
toluene and then iso-octane, catching the rinsate in the
beaker.
10.7.9.1.2.2. Use a solution of deactivating agent (Sylon-
CT or its equivalent) following manufacturer's directions.
After all metal surfaces inside the injector body have
been thoroughly coated with the deactivation solution,
serially rinse the injector body with toluene, methanol,
acetone, and hexane. Reassemble the injector and
reconnect the column.
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10.7.10. Qualitative Analysis
10.7.10.1. Identification of compounds by retention times must be
performed by experienced gas chromatographers because slight
shifts in retention times require judgment decisions. Observe
retention time shifts of standards throughout a day's run to
evaluate retention time shifts in samples. Utilize the daily
retention time windows for compound identification.
10.7.10.2. Confirm all compounds (pesticides/PCBs) on a second
different column, or different detector (other than FID), unless
the compound has been confirmed by GC/MS.
10.7.10.3. It is suggested that at least one sample from a set be
confirmed by GC/MS, if concentration permits. It is the
responsibility of the GC analyst to report any pesticides/PCBs
confirmed by GC/MS. This must be properly noted on the data
sheet. Confirmation by GC/MS is shown by adding the letter C to
the amount of the compound being reported. Alpha-BHC, gamma-BHC,
Endosulfan I and II, and Endrin must be confirmed on the
pesticide extract from water rather than the BNA extract (these
compounds are unstable at the basic pH).
10.7.10.4. Reporting Chlordane-Weathering and/or different
fomulations of chlordane may modify the technical chlordane
pattern. If the chlordane pattern in a sample is similar to
technical chlordane, use a technical chlordane standard for
quantitation. ("similar" means all constituents are present,
including heptachlor, in about the same ratio as a standard of
technical chlordane.) If the pattern is different but gamma and
alpha chlordane and other chlordane constituents are present, use
the individual chlordane constituent standards for calculation.
Report the individual constituents on the data reporting sheet.
Report a total of all constituents listed on the data sheet,
except heptachlor, when the total is requested. Heptachlor is
reported separately in these situations.
10.7.11. Calculation and Project Wrap-up (Also see Section 10.11 on
Data Reporting)
10.7.11.1. For calculation of components in a sample two options
are available:
10.7.11.1.1. Use a one-point mid-level red mix standard either
manually or by acceptable computer program; or,
10.7.11.1.2. Use a three (preferably five)-point linear curve
by acceptable computer program.
10.7.11.1.3. For samples with no analytes found use the MQL
guidelines for different matrices. See Form 10-16.
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10.7.11.2. To simplify the checking of calculations, everyone may
use the formulas for calculating concentrations:
For response factor (K):
uL injected X (mL, mg or gm extracted) = K
(Volume extract in uL) (dilution)
For amount in sample:
Pk ht or area of sample X(ul inj)(cone.of std.,ng/ul)
Pk ht or area of std. K = Concentration
10.7.11.3. Calculation of off-scale peaks using peak height or
area is allowable if it has been shown that response is linear in
the concentration range of the off-scale peak and no interfering
or rising baseline exists.
10.7.11.4. All calculations must be checked by someone other than
the person who performed the original calculation. The
chromatogram with the appropriate standards and QC showing the
calculations for the reported data should be given to the checker.
A hardcopy of the chromatogram should be put in the project file.
10.7.11.5. The checker should check for accuracy of the
transcription of data to the data report sheets.
10.7.11.6. Diluted samples and all standards should be discarded
at the completion of each project.
10.7.11.7. All vials that are ready for disposal should be placed
in a waste safety can, keeping vials with PCBs in a separate waste
safety can. These vials must be treated as hazardous waste and
disposed of accordingly. (See Section 4.6.)
10.7.11.8. All original sample vials should be stored in vial
storage boxes in a refrigerator and placed in a secure area for
permanent storage after completion of analysis. See Section 10.9.
for instructions on vial storage.
10.7.11.9. The project chemist is responsible for calculating
surrogate and matrix spike recoveries and recording the results on
the appropriate data sheets and/or transmitting all results to the
proper computer data system. Unusual results on QC data should be
reported to a pesticides' senior staff specialist. See Forms 10-
11, 10-12, 10-13, and 10-14.
10.7.11.10. Samples having greater than or equal to 50 ppm PCBs
should be reported to the extraction lab Senior staff specialist.
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10.8. GC/MS ANALYSIS
10.8.1. GC Screen and GC/MS Logbook
10.8.1.1. Record all pertinent information requested on the
logbook sheet. The electronic version of these forms are available
from the forms custodian. The designated person at this time is
Sallie Hale. See Forms 10-4 and 10-5.
10.8.1.2. Record file name under sample number column as it exists
on the disk.
10.8.2. GC Screen
10.8.2.1. Volatile Organics
10.8.2.1.1. All samples may be screened by GC/PID/ELCD to
determine the approximate concentration level prior to GC/MS
analysis. Dilutions for GC/MS analysis are to be determined
from this screen analysis.
10.8.2.2. Semivolatile Organics
10.8.2.2.1. All samples may be screened by GC/FID, GC/ELCD,
GC/PID, or any combination of these necessary to determine the
approximate concentration level prior to GC/MS analysis.
Dilutions for GC/MS analysis are to be determined from this
screen analysis.
10.8.3. File Name Labeling
10.8.3.1. Use the following format for file names for volatile
blanks and standards.
10.8.3.1.1. S0128R1 - Rl (or R2, R3, ect.) represents the
standard run number, B for blanks, followed by date of ana-
lysis .
10.8.3.2. Use the following format for file names for semivolatile
blanks.
10.8.3.2.1. B00736SLW - B for blank, followed by ASB log
number for first sample in the set that blank applies to,
followed by appropriate analysis designations.
10.8.3.3. Use the following format for file names for semivolatile
standards.
10.8.3.3.1. S01997SLW - Surrogate standard. S for standard,
followed by ASB log number for first sample in the set that
standard applies to, followed by appropriate analysis
designations, followed by the day of the month if the
instrument allows that length for file names.
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10.8.3.3.2. S093020 - First four digits date designations,
followed by concentration level in ng/ul. Surrogate compounds
are normally included in the daily standard.
10.8.3.4. Sample file name. Use the ASB log number followed by
the proper analytical descriptor if the instrument allows that
length for file names (ie 42361SLW). See Table 10-1.
10.8.3.5. Current instrument designations are:
50 - INCOS 50 - EPA
52 - INCOS 50 - EPA
53 - INCOS 500 - EPA
71 - HP5971 - EPA - VGA
72 - HP5972 - EPA - VGA
73S - HP5973 - ESAT - BNA
73B - HP5973 - ESAT - VGA
73A - HP5973 - EPA - BNA
10.8.3.6. Add the following designations between the SESD number
and the analytical descriptor (ie. 40849XDSLS):
10.8.3.6.1. X and Y - for duplicates.
10.8.3.6.2. D - Dilution (Indicate D2, D3, etc. for subsequent
dilutions)
10.8.3.6.3. R, RS, R3, etc. - Designates a re-extraction of a
sample or reinjection or a purging of a replicate VGA sample.
10.8.3.6.4. If other designations are needed, record their
meaning in logbook.
10.8.3.7. NOTE: Some software may limit the file name to eight
characters.
10.8.4. Title Information as Follows:
10.8.4.1. File name.
10.8.4.2. Instrument designation.
10.8.4.3. Sample volume information (including dilution
information).
10.8.4.4. GC Column type and conditions as 50-210 X 8, 12 F12
where 50-210 are initial and final temperatures, X8 is program
rate, 12 is initial hold time, F12 is final hold time.
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10.8.5. Mass Scale Calibration Using FC43
10.8.5.1. Tune instrument using the following guidance:
10.8.5.1.1. Admit FC43 with carrier flow entering source as
appropriate for the individual instrument.
10.8.5.1.2. Adjust resolution to achieve the desired
parameters.
10.8.5.1.3. Make appropriate tuning adjustments to achieve the
following ion intensity ratios as nearly as possible.
Mass 219 15-40% of Mass 69
Mass 220 > Mass of 70
Mass 414 50-125% of Mass 220 (for semi-volatiles)
Mass 131 + 80-120%of Mass 219
10.8.5.2. Acquire at least 5 scans of FC43 data scanning a mass
range of 20-650 amu (or as appropriate).
10.8.5.3. Run calibration routine.
10.8.5.4. Instrument should calibrate from at least 28 - 502 amu.
10.8.6. Zero the Instrument
10.8.6.1. Set instrument zero consistent with manufacturer's
specifications and/or to a proven, reliable setting (if this is
necessary).
10.8.7. Instrument Tuning Performance Test
10.8.7.1. A tune performance check must be performed every 12
hours during analysis.
10.8.7.2. Analyze 50 ng of Decafluorotriphenylphosphine (DFTPP)
for extractables or 50 ng of p-Bromofluorobenzene (BFB) for
volatiles.
10.8.7.3. Other concentrations or compounds may be used as
required by the analytical protocols.
10.8.7.4. Operating Conditions
10.8.7.4.0.1. Mass Spectrometer parameters same as
analysis planned for the twelve hour shift.
10.8.7.4.0.2. The reference compound should elute so that
compounds of interest are resolved.
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10.8.7.4.1. The mass spectrum must be acquired in the
following manner: Three scans (the peak apex scan and the
scans immediately preceding and following the apex) are
acquired and averaged. Background subtraction is required,
and must be accomplished using a single scan within 10 scans
prior to the beginning of elution of the performance compound.
10.8.7.4.2. Compare the ion intensity ratio of those of
published criteria.
10.8.7.4.3. If the required criteria are not met, the
instrument must be retuned until the spectra meets the
specified criteria.
10.8.7.4.4. Check retention time and peak shape of reference
compound to determine if they are consistent with prior
results.
10.8.7.4.5. Check the peak intensity (by peak height or area)
to determine if the sensitivity is adequate.
10.8.7.4.6. Print a list of masses and intensities, a copy of
the chromatogram with areas of each peak printed, and maintain
in a folder.
10.8.8. GC/MS Linearity Check
10.8.8.1. Initial Calibration
10.8.8.1.1. The GC/MS system must be initially calibrated with
all compounds of interest at a minimum of three concentrations
(5 levels are recommended). Using the response factors (RF)
from the initial calibration, calculate the percent relative
standard deviations (% RSD) for all compounds.
10.8.8.1.1.1. A system performance check must be met for
all compounds. A minimum response factor of 0.100 for the
volatile compounds and 0.05 for the semivolatile compounds
is required. If this criteria is not met, corrective
action must be taken.
10.8.8.1.1.2. The % RSD for each compound must be less
than 15 percent. If this criteria is not met, corrective
action must be taken. This might require instrument
maintenance, new standards preparation, and/or repeating
the analysis of the curve. If after corrective action
some compounds exceed 15 percent, the analyst may proceed,
but any positive results for these compounds must be
reported with a J flag.
10.8.8.1.1.2.1. Thirty percent RSD is acceptable for
the following semivolatile compounds: 4-nitrophenol,
4-chloro-3-methylphenol, 2,4-dinitrophenol, 2-
methyl,4,6-dinitrophenol, pentachlorophenol, 3,3-
dichlorobenzidine, 2-nitroaniline, 3-nitroaniline, 4-
nitroaniline. Thirty percent RSD is acceptable for
the following purgeable compounds: vinylchloride, 1,1-
dichlorothene, chloroform, 1,2-dichloropropane,
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toluene, and ethylbenzene. If these analytes are of
specific importance to the project, corrective action
may be necessary. Otherwise, these compounds must be
flagged as estimated (J) if the %RSD is greater than
15%.
10.8.8.1.1.2.2. The RF for each compound in each
concentration level of the curve must be compared to
the average RF of the curve to determine if any
individual point on the curve is an outlier. Calculate
the percent difference between the average response
factor from the curve and the response factor from the
individual concentration level in the curve. If the
percent difference for any compound is greater than
25%, corrective action may be necessary. This usually
means re-analyzing the bad point on the curve.
10.8.8.2. Daily Calibration Check
10.8.8.2.1. A standard mixture containing all volatile or
semivolatile compounds of interest must be analyzed every 12
hours of operation.
10.8.8.2.1.1. A system performance check must be met for
all compounds. A minimum response factor of 0.100 for the
volatile compounds and 0.05 for the semivolatile compounds
is required. If this criteria is not met, corrective
action must be taken.
10.8.8.2.1.2. A calibration check of the initial
calibration curve is made for each target compound.
Calculate the percent difference between the average
response factor from the initial calibration and the
response factor from the current standard. If the percent
difference for any compound is greater than 25%,
corrective action may be necessary. The analyst must
immediately judge the impact on the data generated for
that day. Any compounds with %D greater than 25% should
be flagged as estimated (J). If more than 25% of the
compounds are greater than 25%D, corrective action must be
taken. This may require generation of a new curve.
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Difference = RF:- RFc X 100
RF:
RFj - Average response factor for initial curve
RFc - Response factor from current standard mixture
10.8.8.2.1.3. Continuing without corrective action may be
prudent if the outlier compounds are not of interest to
the project. The Senior Staff Specialist or Organic
Section Coach must be consulted before continuing without
corrective action. In this case, the corrective action may
be to report these compounds as not analyzed or with an
estimated flag.
10.8.8.2.1.4. A file of the results from the initial and
continuing calibration checks must be maintained.
Continuing calibration files are part of the daily
standard chromatograms and are to be filed with the
appropriate project.
10.8.9. Analyze Standard Mixture
10.8.9.1. Analyze standard mixtures and performance compounds at
least every 12 hours (purgeable standards should be at room
temperature before analysis).
10.8.9.2. Use GC conditions and MS parameters consistent with
sensitivity requirements and equal to those planned for the
shift's operations.
10.8.9.3. Incorporate internal standards where feasible.
10.8.9.4. Perform system performance check and daily calibration
check.
10.8.9.5. Record area count of the quantitation ion for at least
one of the internal standards.
10.8.9.6. The surrogate standard is normally part of the BNA
standard.
10.8.10. Analyze Laboratory Blank
10.8.10.1. Utilize internal standards where feasible.
10.8.10.2. Record integrations for the same internal standards
recorded in standard.
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10.8.10.2.1. If the area count is not within - 50% to + 100%
of those in Standard Mixture, rerun.
10.8.10.2.2. Internal standard retention times must be within
+_ 10 scans or 10 seconds of standard, whichever is greater.
10.8.10.3. Check for carryover from standard injection.
10.8.10.4. Compute surrogate recovery.
10.8.10.5. Section 10.11.3 gives further guidance on use of
blanks.
10.8.11. Analyze Samples
10.8.11.1. If area count of internal standard is not within - 50%
to +100% of the standard, rerun.
10.8.11.2. Internal standard retention times must be within +_ 10
scans or 30 seconds of standard, whichever is greater.
10.8.11.3. Disperse field or lab blanks throughout the day as
necessary.
10.8.11.4. Disperse standard mixtures between at least every 12
hours of analysis.
10.8.11.5. Utilize internal standard where feasible.
10.8.11.6. Compute surrogate recovery and record in GC/MS Log.
10.8.12. Analyze at least one check sample monthly.
10.8.13. Drinking water samples with positive results should be
verified by analyzing a replicate sample whenever possible. The
Senior Staff Specialist or Organic Section Chief should be contacted
if deviations from this policy are necessary.
10.8.14. TCLP analysis: The GC/MS data generated for VGA, BNA, and
Pesticide analysis is reviewed with the Extraction Laboratory Chemist
and a decision made whether any samples could fail the TCLP test. If
it potentially could fail, then the TCLP test is performed and the
results reported. If the sample cannot fail the test, this
information is reported.
10.8.15. Data Processing
10.8.15.1. Plot total ion current profiles.
10.8.15.2. Using the peak finding algorithm and the total ion
current profile, place scan numbers in scan list. The parameters
should be set to find all peaks at approximately 10% of instrument
MQL (This is usually set to 10% of the area of an internal
standard response.)
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10.8.15.3. Print a copy of spectra and library search (best 3
match graph, ranked on purity). Use both NIST and Wiley library
in search if available.
10.8.15.3.1. If peaks are asymmetrical, print a spectra with
the background manually subtracted.
10.8.15.4. Compare the spectra of the unknown with the 3 best
matches and see if one is a logical match.
10.8.15.5. Check for presence of molecular ion and isotopic
clusters.
10.8.15.6. Check the data printed with the best entries from the
library search as an aid to the visual comparison of an unknown
spectra to the library spectra.
10.8.15.7. If no reasonable match, check other published data
bases, as needed.
10.8.16. Qualitative Analysis
10.8.16.1. Target compounds shall be identified by comparison of
the sample mass spectrum to the mass spectrum of a standard of a
reference spectra of suspected compound. Two criteria must be
satisfied to verify the identifications: (1) elution of the
sample component at the same GC relative retention time as the
standard component, and (2) correspondence of the sample component
and standard component mass spectra.
10.8.16.1.1. For establishing correspondence of the GC
relative retention time (RRT) , the sample component RRT must
compare within -F 0.06 RRT units of the RRT of the standard
component. For reference, the standard must be run within 12
hours of the sample. The RRT should be assigned by using
extracted ion current profiles for ions unique to the
component of interest.
10.8.16.1.2. The requirements for qualitative verification by
comparison of mass spectra are as follows:
10.8.16.1.2.1. All ions present in the standards mass
spectra at a relative intensity greater than 10% (most
abundant ion in the spectrum equals 100%) must be present
in the sample spectrum.
10.8.16.1.2.2. The relative intensities of ions specified
above must agree within plus or minus 20% between the
standard and sample spectra. (Example: For an ion with an
abundance of 50% in the standard spectra, the
corresponding sample ion abundance must be between 30 and
70 percent.)
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10.8.16.1.2.3. Ions greater than 10% intensity in the
sample spectrum but not present in the standard spectrum
must be considered and accounted for by the analyst making
the comparison. Do not report any compounds with a
calculated value below 0.1 of the MQL.
10.8.16.2. A library search shall be executed for Non-Target
sample components for tentative identification. The most recent
available version of the NIST and Wiley Mass Spectral Libraries
should be used.
10.8.16.2.1. Do not report any compounds with a calculated
value below the MQL. Only after visual comparison of sample
spectra with the nearest library searches will the mass
spectral interpretation specialist assign a tentative
identification. Computer generated library search routines
should not use normalization routines that would misrepresent
the library or unknown spectra when compared to each other.
10.8.16.2.2. Guidelines for making tentative identification:
10.8.16.2.2.1. Relative intensities of major ions of the
reference spectrum (ions greater than 10% intensity of the
most abundant ion) should be present in the sample
spectrum.
10.8.16.2.2.2. The relative intensities of the major ions
should agree within •+• 20%. (Example: For an ion with an
abundance of 50% in the standard spectra, the
corresponding sample ion abundance must be between 30 and
70 percent.
10.8.16.2.2.3. Molecular ions present in reference
spectrum should be present in sample spectrum.
10.8.16.2.2.4. Ions present in the sample spectrum but not
in the reference spectrum should be reviewed for possible
background contamination or presence of coeluting
compounds.
10.8.16.2.2.5. Ions present in the reference spectrum but
not in the sample spectrum should be reviewed for possible
subtraction from the sample spectrum because of background
contamination of coeluting compounds. Data system library
reduction programs can sometimes create these
discrepancies.
10.8.16.2.2.6. If in the opinion of the mass spectral
specialist, no valid tentative identification can be made,
the compound should be reported as unidentified compound.
The mass spectral specialist may give additional
classification of the unknown compound, if possible (i.e.
unknown phthalate, unknown hydrocarbon, unknown acid type,
unknown chlorinated compound).
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10.8.16.2.2.7. Non-Target compounds identified in samples
will be reported using the NIST and Wiley Libraries name
of the best probable match. The best probable match is
selected by the mass spectroscopist from the best matches
as chosen by the library search routine ranked by purity.
The analysts interpretation may supersede the computer
matching algorithm.
10.8.16.2.2.8. The NIST or Wiley Library nomenclature
should be stripped of numbers or letters that would make
the reported compound a specific isomer (e.g. 1,2-
dibromoethane should be reported as dibromoethane).
10.8.16.2.2.9. Where more than one isomer of a compound is
identified, they should be reported under one name. The
total concentration should be reported with this one name
and the number of isomers should be reported in paren-
thesis. The isomer name chosen for one sample of a
project should be used in all samples for the project,
where no distinguishable spectral differences are present
(e.g. If the best match for C3alkyl benzenes is methyl
ethyl benzene instead of trimethyl benzene, or propyl
benzene, report as methyl ethyl benzene in all samples of
the project where this is true).
10.8.16.2.2.10. Name alkyl substituted analogs of Target
compound isomers using the earlier eluting of the
isomers(e.g. methylfluoranthene, not methylpyrene).
10.8.17. Quantitation
10.8.17.1. Target components identified shall be quantified by the
internal standard method. The internal standard used shall be the
one nearest the retention time to that of a given analyte. The
EICP area of characteristic ions of analytes are used. The
response factor (RF) from the daily standard analysis is used to
calculate the concentration in the sample. Secondary ions may be
used if interferences are present. The area of a secondary ion
cannot be substituted for the area of a primary ion unless a
response factor is calculated using the secondary ion.
10.8.17.1.1. Any compound that had a %RSD in RF of greater
than 30 in the initial calibration curve must be reported with
an estimated value flag (J). Similarly, any compound that had
a % difference in RF of greater than 25 between the RF from
daily standard mixture and the average RF from the initial
curve must be reported with an estimated value flag (J) .
10.8.17.2. An estimated concentration for Non-Target components
tentatively identified shall be quantified by comparison to an
internal standard free of interferences. The following order of
preference for internal standards to use as a reference for
extractables is D10Phenanthrene, D8Naphthalene, D10Acenaphthylene,
D12Chrysene, D12Perylene, and D4 Dichlorobenzene. The internal
standard nearest in retention time to the Non-Target compound may
be used to estimate concentration. Total area counts or peak
heights from the total ion chromatograms are to be used for both
the compound to be measured and the internal standard. A RF of one
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(1) is to be assumed. The value from this quantitation shall be
qualified as estimated. This estimated concentration should be
calculated for all tentatively identified compounds as well as
those identified as unknowns.
10.8.18. GC/MS Data Transfer
10.8.18.1. Initial Reports - After the data is processed by the
GC/MS data system, it is transferred to another computer. The
data is then adjusted taking into account sample dilution, amount
purged or extracted, and dry weight, when applicable. Hard-copies
are then produced. After corrections or additions are made to the
data based on further analysis of the chromatograms and mass
spectra, the final data product is transferred to the R4LIMS
computer.
10.8.18.2. Final Reports
10.8.18.2.1. When no more alterations are necessary, the
final data can be transferred to the R4LIMS system.
10.8.18.2.2. The data is then printed out in final production
format and proofed for errors. Any corrections are made and
the corrected data sheet is printed. A memo is also printed,
the appropriate number of copies (include one file copy) are
made and the report is signed by the project chemist and given
to the Organic Section Chief for review.
10.8.19. Archiving Data
10.8.19.1. All samples and standards must be archived by copying
to nine-track mag tapes using the EPA program or using other
electronic storage devices.
10.8.20. General Responsibilities
10.8.20.1. The GC/MS chemist is responsible for verifying that all
sample extract vials were received from the extraction lab or GC
analyst. The chemist is then responsible for the vials until
GC/MS analysis is complete, and the vials have been stored or have
been discarded. The extract vials should be stored in the
refrigerator designated for semivolatile extracts when not in use.
10.8.20.2. Recap all vials that are to be retained as soon as pos-
sible after puncturing the septum. Remark the volume on the vial
label after injection or dilution.
10.8.20.3. Diluted samples and standards should be discarded
immediately following injection to avoid unnecessarily cluttering
up the lab and extract boards.
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10.8.20.4. All vials that are ready for disposal should be placed
in the "Oily Waste Safety Can." Vials must be disposed of
according to the procedures outlined in Section 4.6. Dispose of
standard and sample vials containing PCB's and other listed
compounds in a separate waste container.
10.8.20.5. All original sample vials are placed in boxes and are
to be stored in a locked custody room upon completion of
analysis. See Section 10.9 for instructions on vial storage.
10.8.20.6. The project chemist is responsible for calculating
surrogate and matrix spike recoveries and recording the results on
the appropriate computer data sheet. Unusual results on QC data
should be reported to the Senior Staff Specialist and/or the
Organic Section Chief.
10.8.20.7. GC/MS Files - Chromatograms should be filed numerically
according to sample numbers. Files should be labeled with the
series of sample numbers on first line. Project name(s) should be
listed under this. Chromatograms and each file should be arranged
as follows:
10.8.20.7.1. Extraction sheets and data sheets.
10.8.20.7.2. Standards analyzed in order of date run.
10.8.20.7.3. Blanks analyzed in order of date run or sample #
of blank series.
10.8.20.7.4. Samples analyzed in numerical order.
10.8.20.7.5. Pertinent GC screening Chromatograms.
10.8.20.8. Any pesticides/PCBs confirmed by GC/MS must be reported
to the Pesticides Senior Staff Specialist to be noted on the
pesticide/PCB data sheet. Chromatograms from Pesticide and PCB
confirmation are sent to the GC unit to file with their
Chromatograms.
10.8.20.9. Keep GC screen Chromatograms for samples that did not
require GC/MS analysis. All other GC screen Chromatograms should
be discarded.
10.9. Extract Storage
10.9.1. Sample extracts are to be stored in storage containers after
final reporting of data. These containers will be kept in their
respective areas of the GC Lab and the GC/MS Lab in a refrigerator,
based on the type of sample. As soon as possible, the containers
should be disposed of. Some criminal and other samples may need to be
stored for extended periods of time. The sample storage custodian
will furnish information on disposition of samples in a timely manner.
Record sample extracts placed in storage containers on Form 10-17.
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10.10. Preparation, Storage, and Use of Organic Analytical Standards
10.10.1. Standard Sources
10.10.1.1. Primary Standards: Commercial sources are available,
request the purest grade available.
10.10.1.1.1. Prepared standards: Commercial sources.
10.10.1.1.2. QC Standards: second source other than primary
standards.
10.10.1.1.3. Prepared standards: commercial. Commercially
prepared stock standards can be used at any concentration if
they are certified by the manufacturer or by an independent
source. If the purity of these standards is questionable,
report the data based on these standards as estimated.
10.10.2. Glassware, Equipment, and Solvents:
10.10.2.1. Analytical balance, capable of an accuracy of +_ 0.1 mg.
10.10.2.2. Spatula, stainless steel.
10.10.2.3. Transfer class "A" pipets and Pasteur disposable pipets
or suitable syringes.
10.10.2.4. Flasks, volumetric, 25, 50, 100 and 200 mL.
10.10.2.5. Bottles, Teflon-lined caps 60 mL.
10.10.2.6. Small glass funnels, and bent paper clip.
10.10.2.7. Refrigerator, explosion-proof.
10.10.2.8. Pesticide grade solvents: ethyl acetate, toluene,
acetone, isooctane, hexane, methanol, and carbon disulfide.
10.10.3. Safety Precautions and Operating Procedures
10.10.3.1. Gloves should be used when handling reference
materials.
10.10.3.2. Standards used for quantitating samples are to be made
by a chemist.
10.10.3.3. Hoods should be used when weighing toxic standards or
diluting with organic solvents.
10.10.3.4. Rinse all glassware prior to use with methanol,
acetone, and isooctane and let air dry in hood.
10.10.3.5. Always perform a balance check with Class-S weights
each day the balance is used. Record the balance check on the
Standard Sheet. Check calculations on solutions to be made up.
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10.10.3.6. Do not store any standards in volumetric glassware.
Transfer to a 60-mL screwcap bottle with Teflon8 liner if the
solution is to be stored. Use phosphate tubes or vials, with
TeflonR liners, for short term storage. All standards must be
properly labeled.
10.10.3.7. Always rinse used glassware with acetone before washing
in dishwasher with other glassware. Rinse pipets out with acetone
immediately after use.
10.10.3.8. Keep all standards in refrigerator or freezer when not
in use.
10.10.3.9. Always let standards and solutions come to room
temperature before opening.
10.10.3.10. Check new working standard against old standard. Old
standard may be slightly more concentrated due to evaporation of
solvent from repeated openings.
10.10.3.11. Transfer waste standards to a waste bottle. Rinse the
empty bottle several times with acetone. Add the rinsate to the
waste bottle and discard the standard bottle.
10.10.3.12. Provide a large waste beaker located in a hood for
rinsing all used glassware and pipets before washing with soap and
water. Transfer the wash solvent to a waste bottle.
10.10.3.13. Volumetric flasks and storage bottles used for
standards must be rinsed several times with distilled water to
remove any alkaline residue. Alkaline residues cause degradation
of certain organics and pesticides.
10.10.4. Standards:
10.10.4.1. Replace stock standards and "non-working" standards
every year.
10.10.4.1.1. Suggested procedures for preparation of stock
standards follow. We also suggest procedures found in SW-846,
8000 methods.
10.10.4.1.1.1. Weigh 50.0 mg of primary standard into a 50
mL beaker using a small spatula for solids or a disposable
pasteur pipet for liquids. It may be necessary to aid
dissolution by adding as small amount of solvent (e. g.
ethyl acetate or toluene).
10.10.4.1.1.2. Some standards may require placing the
beaker in an ultrasonic cleaning device or on a steam bath
for complete dissolution.
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10.10.4.1.1.3. Transfer through a glass funnel into a 50
mL volumetric flask, washing with an appropriate solvent.
Dilute to volume with the least volatile of the
appropriate solvents and mix. Calculate the concentration
in micrograms per microliter. When compound purity is
assayed to be 96% or greater, the weight may be used
without correction to calculate the concentration of the
stock standard. If the purity is less than 96%, the
weight must be adjusted for purity.
10.10.4.1.1.4. Transfer to 60 mL screw capped bottles with
orange labels. Old bottles that contain the same standard
may be reused if rinsed with isooctane.
10.10.4.1.2. Calibration Standards - This consists of a set of
five standards with concentrations covering the linearity
range for each detector used for quantitative analysis.
10.10.4.1.3. Intermediate and working standards, (blue,
yellow, silver, and red) are diluted with a high boiling
solvent such as isooctane. Working standards are diluted to
give even numbered concentrations if possible, from
intermediate and working standards (i.e. 10 ng/uL vs 11
ng/uL) . Discard working standards after six months. Some
standards are unstable and must be made up more frequently.
Working solutions should be checked at least quarterly against
available Cincinnati QC samples or a check standard. New
working solutions should be checked against the old standard.
Percent difference must not exceed 10% for each compound
checked.
RI - RZ
Percent Difference R2 X 100
Total area of peak* _
R = Amount injected (in nanograms)
10.10.4.1.4. For multicomponent pesticides/PCB' s , use the
total area of all peaks used for quantitation.
RI = relative response from working standard
R2 = relative response from (second vendor)
QC standard
Mixes Used Detector Concentrations (ng/uL)
Blue FID/MS 5 - 100
Yellow Hall, N/P 0.2 - 10
Silver Hall 0.05 - 2.5
Red EC 0.005 - 0.25
Green (Spike solutions for all parameters)
10.10.4.1.4.1. All standards must be stored in
refrigerator when not in use.
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10.10.4.2. Spike Solution - All spike solutions are made from
stock or intermediate solutions and diluted with acetone or
methanol.
10.10.4.3. Volatile standard solutions - Stock standard solutions
may be prepared from pure standard materials or purchased as
certified solutions. Prepare stock standard solutions in methanol
using assayed liquids or gases as appropriate. Because of the
toxicity of some of the organohalides, primary dilutions of these
materials should be prepared in a hood. A NIOSH/MESA approved
toxic gas respirator should be used when the analyst handles high
concentrations of such materials.
10.10.4.3.1. Place about 9.8 mL of methanol into a 10 mL
ground glass stoppered volumetric flask. Allow the flask to
stand, unstoppered, for about 10 minutes or until all alcohol
wetted surfaces have dried. Weigh the flask to the nearest
0.1 mg.
10.10.4.3.2. Add the assayed reference materials as described
below:
10.10.4.3.2.1. Liquids - Using a 100 uL syringe,
immediately add 2 or more drops of assayed reference
material to the flask, then re-weigh. The liquid must
fall directly into the alcohol without contacting the neck
of the flask.
10.10.4.3.2.2. Gases - Introduced from lecture bottle.
Flow rate is controlled with a valve through a teflon tube
to top of the meniscus.
10.10.4.3.3. Re-weigh, dilute to volume, stopper, then mix by
inverting the flask several times. Calculate the
concentration in micrograms per microliter. When compound
purity is assayed to be 96% or greater, the weight may be used
without correction to calculate the concentration of the stock
standard.
10.10.4.3.4. Transfer the stock standard solution into a
Teflon sealed screw-cap bottle. Store, with minimal head-
space, at -10°C to -20°C and protect from light.
10.10.4.3.5. When stored under the above conditions, those
standards should be replaced if comparison with QC check
samples indicates a problem. Gases are replaced after 3
months and all others after 6 months.
10.10.4.3.6. Intermediate standards - Using stock standard
solutions, prepare intermediate standards in methanol that
contain the compounds of interest, either singly or mixed
together. The intermediate standards should be prepared at
concentrations such that the aqueous calibration standards
will bracket the working range of analytical system.
Intermediate standards should be diluted to give calibration
standards of approximately 30 ng/uL.
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10.10.4.3.7. Intermediate standards are prepared as needed and
should be stored in a freezer with minimal headspace. They
should be checked frequently for signs of degradation or
evaporation, especially prior to preparation of calibration
standards. Quality control check standards used to determine
the accuracy of calibration standards may be obtained from
commercial sources.
10.10.4.3.8. Internal/Surrogate standard spiking solution -
The solution may be prepared as described above or with a
dilution of a commercial standard. The intermediate surrogate
solution is prepared as needed. The stock standard is good
for a minimum of 6 months. The first compound is a good
barometer of the solution; if it appears to be much smaller in
size than the other two in a GC/MS run, the stock solution
should be discarded and another one made.
10.10.5. Records
10.10.5.1. Stock Standards. Enter the weight of the primary stan-
dard and other requested information on the stock standard sheet
in the Quality Control Standards Logbook (See Form 10-6). Also,
record the requested information on the summary log sheet at the
beginning of the section (See Form 10-7), and on the label of the
standard bottle.
10.10.5.2. Each stock solution is assigned a discrete number that
identifies that particular stock solution. Whenever a new stock
solution of the same compound is made up, the original number
should be retained.
10.10.5.3. Blue, Yellow, and Red Mixes. Record the parent color,
dilution number and date of preparation on the standard sheet.
See Form 10-15.
10.10.5.4. A new standard sheet must be prepared when one or more
ingredients or the concentrations in a mixture changes. Retain the
old mix bottle number on the new mix. Select a new number when a
completely new mix or standard is made up. Retire the number when
a mix or standard is no longer needed.
10.10.5.5. In GC and GC/MS Logbook, enter name of the standard
plus the color code if applicable.
10.10.5.6. There are three Quality Control Standards Logbooks.
Volume 1 is for stock solutions (orange label). Volume 2 is for
intermediate, working, and spike standards. Volume 3 is for
outdated sheets.
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10.11. Data Reporting
10.11.1. General
10.11.1.1. No data will be reported until all QC data has been
evaluated and data determined to be valid.
10.11.1.2. In certain situations where % moisture is not
determined or used, the data should be reported on a wet weight
basis.
10.11.1.3. Report parameter concentration in units as in Table 7-
4.
10.11.1.4. Waste samples and % moisture - Calculate and report
waste samples on a dry weight basis if they are primarily heavily
contaminated soil or dry solid. Waste that is primarily
nonaqueous liquid should be reported using the weight as received
or wet weight basis.
10.11.1.5. Use the following designations on the data sheet:
10.11.1.5.1. U - The analyte was analyzed for but not
detected. The value preceding the "U" is the "minimum
quantitation limit (MQL)".
10.11.1.5.1.1. Minimum Quantitation Limit (MQL) -- Every
sample has a concentration level below which the variance
of the results for a particular analyte (element or
compound) exceeds the acceptable quality control criteria.
This level is the MQL and is reported as the value
preceding the "U". The MQL is based on the lowest
quantitative data point of the instrument calibration
curve. The MQL is derived using this data point and other
factors such as: sample size, dilution required, sample %
moisture, and sample interferences. The value often
varies from analyte to analyte within a sample. Analytes
are often detected at levels below the MQL and are
reported as estimated values (J). Generally, analytes
identified below the MQL will only be reported if the
concentration is greater than one tenth of the MQL.
10.11.1.5.2. J - The identification of the analyte is
acceptable, but the quantitative value is an estimate. The
value preceding the "J" is the "estimated value".
10.11.1.5.2.1. Estimated Value — Every sample analysis has
quality control criteria associated with the quantitative
data which have been established based on similar
analyses. When these criteria are exceeded, the value for
that analyte or similar analytes is reported as an
estimated value. Examples are:
10.11.1.5.2.1.1. Calculated values are below or above
an appropriate linear range
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10.11.1.5.2.1.2. Calculated values are below the MQL
of an analyte.
10.11.1.5.2.1.3. Analytical holding times for analysis
are exceeded.
10.11.1.5.2.1.4. Surrogate recovery limits are
exceeded.
10.11.1.5.2.1.5. There are no known quality control
criteria for an analyte.
10.11.1.5.3. N - There is presumptive evidence that the
analyte is present but it has not been confirmed. The analyte
is "tentatively identified".
10.11.1.5.3.1. Tentative Identification--There is an
indication that the analyte reported is present. The
quality control requirements necessary for confirmation
were not met. Examples are:
10.11.1.5.3.1.1. A specific list of compounds is
analyzed for in every organic analysis by gas
chromatography/mass spectrometry (GC/MS). Other
compounds are often present and their spectra are
compared to published mass spectral data. If a
qualitative determination is made, the compound is
reported as tentatively identified.
10.11.1.5.3.1.2. The presence of analytes is often
indicated, but there is evidence of possible
interferences. There is presumptive evidence that the
analyte is present, therefore, it is reported as
tentatively identified.
10.11.1.5.4. C - The analyte is determined to be present. The
presence of the analyte was "confirmed by GC/MS".
10.11.1.5.4.1. Confirmed by GC/MS - Pesticides are
routinely analyzed by gas chromatography with an electron
capture detector (GC/EC). When identified by GC/EC
analysis in sufficient concentrations, pesticides are
confirmed on the mass spectrometer by comparing the
spectra of the analyte with the spectra of a particular
pesticide. If a good spectral match is obtained, the
pesticide identification is considered to be confirmed.
The concentration is quantitated by GC/EC.
10.11.1.5.5. A - The analyte was analyzed in replicate. The
value preceding the "A" is an "average value" of the
replicates.
10.11.1.5.5.1. Average Value--Samples are often analyzed
in replicate (usually in duplicate). Aliquots of the same
sample are analyzed and the values are averaged. Sometimes
replicate samples are analyzed and the values are reported
as an average.
10.11.1.5.6. K - The analyte is determined to be present. The
actual value is known to be "less than" the value preceding
the "K".
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10.11.1.5.6.1. Less Than Values — The analyte is present,
but the amount of the analyte is determined to be below an
acceptable level for quantitation. The concentration can
not be calculated, but is determined to be less than the
value given. Example: 10K means that the analyst has
determined that the analyte is present at some
undetermined amount less than 10.
10.11.1.5.7. L - The analyte is determined to be present. The
actual value is known to be "greater than" the value preceding
the "L".
10.11.1.5.7.1. Greater Than Values — The analyte is
present, but the amount of the analyte is determined to be
above an acceptable level for quantitation. Example: 500L
means that the analyte is present at some undetermined
amount greater than 500.
10.11.1.5.8. R - Data is "rejected" and should not be used.
10.11.1.5.8.1. Rejected Data - Some or all of the quality
control data for the analyte were outside criteria. The
presence or absence of the analyte can not be determined
from the data. Resampling and reanalysis are necessary to
confirm or deny the presence of the analyte.
10.11.1.5.9. UJ - This is a combination of the "U" and "J"
codes. The analyte is not present and the value preceding "UJ"
is an estimated MQL.
10.11.1.5.10. JN - This is a combination of the "J" and "N"
codes. The analyte is tentatively identified and the value
preceding the "JN" is estimated.
10.11.1.5.11. JR - This is a combination of the "J" and "R"
codes. The analysis indicated the presence of the analyte. The
data is rejected and the value preceding "JR" is estimated.
Resampling and reanalysis are necessary to confirm or deny the
presence of the analyte.
10.11.1.5.12. UR - This is a combination of the "U" and "R"
codes. The analysis did not indicate the presence of the
analyte. The data is rejected and the value preceding "UR" is
the MQL. Resampling and reanalysis are necessary to confirm or
deny the presence of the analyte.
10.11.1.5.13. NAI - Not analyzed due to interference.
10.11.1.5.14. NA - Not analyzed for.
10.11.1.6. The number precedes the code letter in all cases.
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10.11.1.7. When adding one or more J values to real values (e.g.,
for DDTR), J the total if the J values are equal to ^ 10% of the
total value.
10.11.1.8. Rules of rounding. Round off by dropping digits that
are not significant. If the digit 6,7,8, or 9 is dropped,
increase preceding digit by one unit; if the digit 0,1,2,3, or 4
is dropped, do not alter preceding digit. If the digit 5 is
dropped, round off preceding digit to the nearest even number:
thus 2.25 becomes 2.2 and 2.35 become 2.4.
10.11.1.9. Reporting estimated minimum quantitation limits (MQL) -
The MQL is reported to 2 significant figures.
10.11.1.10. Reporting target compounds below the MQL - Report the
actual calculated value (to 2 significant figures) with a J for
any concentration below the MQL. Anything below 1/10 of the MQL
and/or less than a 3mm peak height is reported as not detected.
10.11.1.11. If dilutions of the sample extract are required, the
MQL is raised by the same factor as the dilution.
10.11.1.12. Determine from the analytical request if a specific
limit of quantitation is required. This is especially important
when analyzing samples for compliance monitoring, spill
investigations, and drinking water investigations.
10.11.1.13. Calculate the MQL for the blank using the lowest
sample weight or sample volume.
10.11.1.14. Report all non-target (library search compounds) data
to 1 significant figure.
10.11.1.15. Inorganic compounds. Do not report sulfur, H2S, S02,
etc .
10.11.1.16. Reporting duplicate data - Calculate and report the
average with an A flag. If a compound is detected on one
duplicate and not the other, do not report the compound.
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 39
10.11.2. Nomenclature for Library Search Compounds
10.11.2.1. Spaces in chemical names - Be careful where spaces are
used in nomenclature especially when rearranging CAS names. Where
there are dashes, always attach the words. Where there are
spaces, always leave them.
10.11.2.1.1. Caution! Location of spaces, brackets, and
parentheses are very important when entering names and should
be entered consistently.
10.11.2.2. Names should be entered in all caps.
10.11.2.3. Isomers. Report as METHYLBIPHENYL (2 ISOMERS). Make
sure spacing is strictly adhered to.
10.11.2.4. Isomers of Target Analytes: TRICHLOROBENZENE (NOT
1,2,4-) (2 ISOMERS).
10.11.2.5. Specified compounds: Enter as 6275*SPECIFIED COMPOUND
NAME.
10.11.2.6. ESAT should send a copy of final edited data to the
work assignment monitor.
10.11.2.7. Acids. Always precede acids with a space, same for
esters, acetates, oxides, etc. (i.e. BENZOIC ACID).
10.11.2.8. Isomers and/or rearranged names, 2-HEXANONE, 5-METHYL-
3-METHYLENE -, rearrange and combine to METHYLMETHYLENEHEXANONE.
Dashes indicate no space when the name is rearranged.
10.11.2.9. Alkyls. No space.
10.11.2.10. Esters. Do not rearrange esters (i.e., DODECANOIC
ACID, METHYL ESTER not METHYL ESTER OF DODECANOIC ACID).
10.11.2.11. Truncated names in data system. The current GC/MS
data system library only stores the first 70 characters. Long
names with odd looking endings should be looked up to verify the
complete name. The HS library display truncates if the name
extends beyond where the scan number is printed.
10.11.2.12. Unidentified compounds. Report as 5 UNIDENTIFIED
COMPOUNDS, 5 equals the number of compounds.
10.11.2.13. Hydrocarbon series. Report homologous hydrocarbon
series as "PETROLEUM PRODUCT" with an "N" flag in the result
field.
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 40
10.11.2.14. Common names vs CAS names. The following commonly
found compounds are changed from CAS names to common names:
All pesticides recognized as such
2-PROPANONE TO ACETONE
2-PROPANOL TO ISOPROPANOL
2- BUTANONE TO METHYL ETHYL KETONE
2-PENTANONE TO METHYL PROPYL KETONE
3 METHYL-2-BUTANONE TO METHYL ISOPROPYL KETONE
4 METHYL-2-PENTANONE TO METHYL ISOBUTYL KETONE
THIOBISMETHANE TO METHYL SULFIDE
ACETIC ACID ETHYL ESTER TO ETHYL ACETATE
1,1'-OXYBISETHANE TO ETHYL ETHER
2,2'-OXYBISPROPANE TO ISOPROPYL ETHER
1,2-BENZENEDICARBOXYLIC ACID TO PHTHALIC ACID
ETHENYLBENZENE TO STYRENE
10.11.3. Laboratory Contaminants
10.11.3.1. The following organics are frequently detected in
blanks in trace concentrations. Therefore, special precautions
need to be taken when reporting positive findings of these
compounds. Do not subtract blank values from sample values unless
specified by the method.
10.11.3.1.1. Volatile Organic Analysis
10.11.3.1.1.1. Do not report compounds unless they are 5
times the blank value.
10.11.3.1.1.2. Background contamination by methylene
chloride, methylethylketone, and acetone may yield higher
than normal values. Therefore, do not report these
compounds unless they exceed 10 times the blank value.
10.11.3.1.2. Extractable Organic Analysis
10.11.3.1.2.1. Report phthalates only if above the MQL.
10.11.3.1.2.2. Do not report these compounds unless they
are present at 5 times the blank value: bis(2-ethylhexyl)
phthalate, diethyl phthalate, dibutyl phthalate, n-
nitrosodiphenylamine, the xylenes, silicones, and phthalic
acid.
10.11.3.1.2.3. Butoxyethoxyethanol and related compounds
are common contaminants of tubing used in automatic
samplers. Therefore, if these compounds are detected in
the sampler blank, report them in sampler blank and all
samples where identified.
10.11.3.2. Reporting of Data when Considering Other Possible
Contaminants
10.11.3.2.1. Use the following criteria when evaluating the
validity of a positive identification (see aslo SW-846, 8000
methods):
10.11.3.2.1.1. If the compound in question is in the blank
and in the sample but the concentration in both is
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 41
10.11.3.2.1.2. If a compound in question is detected in
the blank at greater than the usual MQL and is in a sample
at £ the blank, report the sample value as the MQL for the
sample.
10.11.3.2.1.3. If the compound in question is in the blank
at MQL, then the analyst must
use professional judgement in determining its validity.
10.11.3.2.1.4. In general, it should be >2 times the blank
value before reporting. The same is true if the compound
in question is present in both the blank and sample, and
>MQL. If the compound is reported with a U, the MQL
should be adjusted to the level found in the sample.
10.11.3.2.1.5. Natural organics in fish - Do not report
cholestanol or related compounds.
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 42
Method*
46A
43D
54B
54B
56
56B
60
47
47A
43
43A
54
54A
54C
44
SOB
58
60
31C
55
55A
43
43A
43B
43C
44
44A
44B
SOB
54
54A
54C
52B
57
60
35
31A
31C
38
51
60
48
48
59
61
61
Descriptor
VLW
VLS
VMS
VMW
VAC
VAC
VTC
SLW
SLW
SLG
SLS
SMS
SHW
SMW
SLT
SAP
sew
STC
SSS
PLW
PLW
PLG
PLS
PSA
PSH
PLT
PTH
PTA
PAP
PMS
PHW
PMW
PCW
PNP
PTC
PWO
PCS
PSS
HLW
HLS
HTC
FLW
FLS
FAC
CLW
CLS
ANALYTICAL DESCRIPTORS
Sample Type
Volatile low water
Volatile low soil/sed
Volatile medium soil/sed
Volatile medium waste
Volatile air canister
Volatile air canister
Volatile by TCLP Extraction
Semivolatile low water - separatory funnel
Semivolatile low water - cont . liquid ext .
Semivolatile low soil/sed w/GPC
Semivolatile low soil/sed wo/GPC
Semivolatile medium soil/sed
Semivolatile high waste wo/son.
Semivolatile medium waste w/son.
Semivolatile low tissue
Semivolatile air PUF
Semivolatile Cartridge ext. water
Semivolatiles by TCLP extraction
Semivolatiles low soil with soxhlet
Pesticide low water - separatory funnel
Pesticide low water - cont. liquid ext.
Pesticide low soil/sed w/GPC
Pesticide low soil/sed wo/GPC
Pesticide low soil/sed w/acid cleanup
Pesticide low soil/sed w/hex/acetone
Pesticide low tissue
Pesticide low tissue w/hexane
Pesticide low tissue w/acid cleanup
Pesticide air PUF
Pesticide medium soil/sed
Pesticide high waste wo/son.
Pesticide medium waste w/son.
Pesticide Cartridge ext. water
Pesticide low water nitrogen/phosphorous
Pesticides by TCLP extraction
PCBs waste oil
Pesticide low soil/sed w/sohxlet
Pesticide/PCB low soil/sed w/sohxlet
Herbicides low water
Herbicides low soil/sed
Herbicides by TCLP extraction
Formaldehyde low water
Formaldehyde low soil/sed
Formaldehyde air cartridge
Carbamates low water w/HPLC
Carbamates low soil/sed w/HPLC
10.11.3.2.1.6. Do not report chlorinated and brominated
cyclohexenes, cyclohexanes, and cyclohexanols if
chlorinated water was extracted with methylene chloride.
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 43
The sampler should verify that it was chlorinated water
and write a memo to the Chemistry Section, so stating.
Standard Levels and Concentrations
GDI Components
TCMX
g- BHC (Lindane)
Aldrin
Heptachlor
Kept. Epoxide
Endosulfan I
Endosulfan II
Dieldrin
p,p' -DDT
Endrin
Methoxychlor
DEC
GDI I Components
TCMX
a- BHC
b- BHC
d- BHC
Aldrin
p,p' -DDT
p,p' -DDD
p,p' -DDE
Endrin Aldehyde
Endrin Ketone
Endosulfan
Sulfate
DEC
Multi Component
Compounds
Toxaphene
Technical
Chlordane
Chlordane
Constituents I
a-Chlordane
b-Chlordene
g-Chlordane
Chlordane
Constituents II
Chlordene
a-Chlordene
g-Chlordene
Oxy Chlordane
Cis Nonachlor
Trans Nonachlor
PCB's
AR 1242
AR 1248
Red Level
Concentratio
ns
0.005
0.010
0.008
0.010
0.010
0.020
0.010
0.025
0.020
0.050
0.005
0.010
0.010
0.010
0.025
0.020
0.010
0.025
0.025
0.025
0.500
0.075
0.010
0.010
0.010
0.005
0.010
0.010
0.010
0.010
0.010
0.15
0.15
Linear Curve Concentration
Level QC-1
0
0.001
0.002
0.0015
0.002
0.002
0.004
0.002
0.005
0.004
0.010
0.00313
0.0013
0.001
0.002
0.002
0.002
0.005
0.004
0.002
0.005
0.005
0.005
0.00313
0.200
0.0125
0.0025
0.0025
0.0025
0.0013
0.0025
0.0025
0.0025
0.0025
0.0025
0.025
Level QC-2
0.0025
0.002
0.004
0.0030
0.004
0.004
0.008
0.004
0.010
0.008
0.020
0.0063
0.0025
0.002
0.004
0.004
0.004
0.010
0.008
0.004
0.010
0.010
0.010
0.0063
0.400
0.025
0.005
0.005
0.005
0.0025
0.005
0.005
0.005
0.005
0.005
0.050
Level QC-3
0.005
0.004
0.008
0.0060
0.008
0.008
0.016
0.008
0.020
0.016
0.040
0.013
0.0050
0.004
0.008
0.008
0.008
0.020
0.016
0.008
0.020
0.020
0.020
0.013
0.600
0.050
0.010
0.010
0.010
0.005
0.010
0.010
0.010
0.010
0.010
0.100
Level QC-4
0.01
0.008
0.016
0.0120
0.016
0.016
0.032
0.016
0.040
0.032
0.080
0.025
0.0100
0.008
0.016
0.016
0.016
0.040
0.032
0.016
0.040
0.040
0.040
0.025
0.800
0.100
0.020
0.020
0.020
0.01
0.020
0.020
0.020
0.020
0.020
0.200
Level
QC-5
0.02
0.016
0.032
0.0240
0.032
0.032
0.064
0.032
0.080
0.064
0.160
0.050
0.0200
0.016
0.032
0.032
0.032
0.080
0.064
0.032
0.080
0.080
0.080
0.050
1.000
0.200
0.040
0.040
0.040
0.02
0.040
0.040
0.040
0.040
0.040
0.300
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 44
Standard Levels and Concentrations
GDI Components
TCMX
g- BHC (Lindane)
Aldrin
Heptachlor
Kept. Epoxide
Endosulfan I
Endosulfan II
Dieldrin
p,p' -DDT
Endrin
Methoxychlor
DEC
GDI I Components
TCMX
a- BHC
b- BHC
d- BHC
Aldrin
p,p' -DDT
p,p' -DDD
p,p' -DDE
Endrin Aldehyde
Endrin Ketone
Endosulfan
Sulfate
DEC
Multi Component
Compounds
AR 1254
AR 1260
AR 1268
Red Level
Concentratio
ns
0.005
0.010
0.008
0.010
0.010
0.020
0.010
0.025
0.020
0.050
0.005
0.010
0.010
0.010
0.025
0.020
0.010
0.025
0.025
0.025
0.15
0.25
0.25
Linear Curve Concentration
Level QC-1
0
0.001
0.002
0.0015
0.002
0.002
0.004
0.002
0.005
0.004
0.010
0.00313
0.0013
0.001
0.002
0.002
0.002
0.005
0.004
0.002
0.005
0.005
0.005
0.00313
0.025
Level QC-2
0.0025
0.002
0.004
0.0030
0.004
0.004
0.008
0.004
0.010
0.008
0.020
0.0063
0.0025
0.002
0.004
0.004
0.004
0.010
0.008
0.004
0.010
0.010
0.010
0.0063
0.050
Level QC-3
0.005
0.004
0.008
0.0060
0.008
0.008
0.016
0.008
0.020
0.016
0.040
0.013
0.0050
0.004
0.008
0.008
0.008
0.020
0.016
0.008
0.020
0.020
0.020
0.013
0.100
Level QC-4
0.01
0.008
0.016
0.0120
0.016
0.016
0.032
0.016
0.040
0.032
0.080
0.025
0.0100
0.008
0.016
0.016
0.016
0.040
0.032
0.016
0.040
0.040
0.040
0.025
0.200
Level
QC-5
0.02
0.016
0.032
0.0240
0.032
0.032
0.064
0.032
0.080
0.064
0.160
0.050
0.0200
0.016
0.032
0.032
0.032
0.080
0.064
0.032
0.080
0.080
0.080
0.050
0.300
Table 10-2
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 45
BOOK
EXTRACTION OF WATER
Project
Analysts
Extraction Solvent & Volume
Spike Solution, Volume & Solvent Method/Matri
Pesticide
Acid
Base/Neutral
Herbicide
Surrogate
Spike
BNA
Pest
Pesticide
Acid
Base/Neutral
Herbicide
Comments:
Method No:
Start date:
Start time:
SAD #
BNA
VOL SAMPLE
FINAL
VOL
STOP DATE:
TIME:
FINAL PROG CHECK
PESTICIDES
VOL SAMPLE
FINAL
VOL
HERBICIDE
VOL SAMPLE
FINAL
VOL
VOL
SAMPLE
FINA
L
VOL
Form 10-1
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 46
BOOK
EXTRACTION OF SOLIDS/WASTE
Proj ect
Analysts_
DATE
Extraction Method#_
Extraction Device:
Soxhlet
_B/N Acid VGA
Sonicator
Pest.
Herb.
Surrogate Spike Added BNA
Florisil
5%
151
50%
Cleanup /Separation
Acetonitrile
Sulfuric Acid
Auto Prep
Esterification:
Pest
Spike Solution
Extraction Solvent & Volume Volume/Solvent Method/Matrix
Pesticide
Acid
Base/Neutral
Herbicide
Diazomethane
Pesticide
Acid
B/N
Herbicide
PCB's
COMMENTS:
SAD
NUM.
CRUC
SURR
ADD
SURR
GROSS
WT.
DRY
WT.
TARE
WT.
DRY WT
WET WT
%
SOLID
WET WT
EXTRACT
DRY WT
EXTRACT
FINAL
VOL
Calculations
Checked
Form 10-2
Completed Date
Final Project Check
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 47
BOOK
EXTRACTION OF BIOLOGICAL TISSUE
Proj ect
Analysts_
DATE
Extraction Method#
Extraction Device: Sonicator_
Surrogate Spike Added BNA
B/N
Acid
Pest.
PCB
Pest
Cleanup/Separation
Extraction Solvent & Volume
Volume/Solvent
Method/Matrix
GPC
Alumina
Sulfuric Acid
Pesticide
Acid
Base/Neutral
Pesticide
Acid
B/N
PCB's
COMMENTS:
SAD
NUM
GROSS
WT
TARE
WT
WEIGHT
OF OIL
%
LIPID
WET
WEIGHT
FINAL
VOL
COMMENTS
Calculations
Checked
Completed Date
Final Project Check
Form 10-3
-------
INSTRUMENT
Section: 10
Revision: 1
Date: December 1, 1997
Page: 48
BOOK/PAGE 105 /
GC ANALYSIS
DETECTOR
COLUMN TYPE
HP 5890
Hall/PID
DB624 30m x 0.53mm ID x 3um FT
RESTEK 30m X 0.53mm ID x 3um FT
HP 5890 Hall/PID DBS 30m x 0.32mm ID x lum FT
Sw
In
At
PS
eep :
it :
ten :
I:
FID
min ml/min
°C Final
Hall
Other
Split: min ml/min Makeup:
: °C Rate: °C/min
PID FID
ml/m
Init. Hold: Final Hold
Other
Volume Inj :
RUN tt
PROJ tt
SAMPLE
VOLUME
DIL
COMMENTS
DATE
ANAL
Form 10-4
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 49
GC/MS ANALYSIS
BOOK/PAGE 135/_
DATE
ANALYST
TRANSFERRED
PROJECT(S).
_5973S _5973V _
DB 624 FSCC
_5973B _JL5200 5390
Other (Specify)
METHOD*:
V
INSTRUMENT: _5971_5972.
COLUMN: X DB5MS-FSCC
Meters: _30_ ID: _^25 mm FT:^25_um Purge Temp/Flow: __/__ ACQU TIME: EMV:
Pulse Splitless: ^5_minisPSI Vent: .6 min 60 ml/min EPC/He:_L2 ml/min Makeup: ml/min
Init. PC/Hid: j4Q_/_2_ Rate 1:_35_ Init. 2 °C/H:J30_/_Q_ Rate 2: 12 Final °C/H: 300 / 8
SS#1 DSPhenol SS#2 D5Nitrobenzene SS#3 Tribromophenol SS#4 D14Terphenyl
SLOT#
TIME
SS#1
SS#2
SS#3
SS#4
M
MAG
TAPE
FILE NAME
VOL
INJ.
COMMENTS
INT. STD.
AREA
Form 10-5
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 50
PREPARATION OF STOCK STANDARD
SOL.
NO.
1
2
3
4
5
6
7
8
9
10
DATE
INT
COMPOUND
SOURCE
LOT
NO.
PURITY
BOTTLE NO.
COMPOUND
NET
WEIGHT
ADJUSTED
NET
WEIGHT*
SOLVENT
DILUTION
VOLUME
ml
FINAL
CONC.
ng/ul
BALANCE
CHECK
ACTUAL/-
FOUND
COMMENTS
Form 10-6
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 51
SUMMARY LOG SHEET
SECTION
B - Bottle Number
D - Dilution Number
Name of Standard or Mix
Date
Date
Date
Date
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 52
Form 10-7
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 53
GC ANALYSIS
BOOK-PAGE
PROJECT(S) _
ANALYST(S).
ANALYSES:
Pesticide Quantitation
Organic Quantitation
PCB Quantitation
Herbicide Quantitation
Confirmation
DATE
INSTRUMENT:
HP5890-1
. HP5890-2
HP5890-3
. HP5890-4
. HP5890 ESAT
. HPLC/Fluorescence
HPLC/PDA
DETECTOR:
Electron Capture NI63
Nitrogen/Phosphorus Thermionic
Fluorescence
PDA
GC COLUMN TYPE:
C18HPLC
DB5-FSCC
DB608-FSCC
DB1701-FSCC
DB1301-FSCC
DB210-FSCC
DB1-FSCC
Temperature: Iso
Attenuation: A
B
COLUMN INFORMATION:
1. Capillary Length m ID
2. Capillary Length m ID
STANDARD MIX:
Red Zip File:
Yellow
°C. for min. Program: Initial °C
l.Vol. Ini. ul. Level 1 oQ for
2.Vol.ini. ul. Post Value °C.
Film Thickness
Film Thickness
. for min.
min. (a),
for min.
um
um
°C/min.
i
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
SAD#
TYPE ANALYSIS
DILUTION
FINAL
VOLUME
QC
REMARKS
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 54
Form 10-8
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 55
PESTICIDE / HERBICIDE
DATE ANALYZED
SAMPLE TYPE
SURROGATE RECOVERIES (%)
Ext. org.
Pest.*
VGA
Pest
SAMPLE NO.
METHOD
INSTRUMENT
10
11
12
13
1) Phenol-DS
2) 2,4,6-Tribromophenol
3) Nitrobeiizene-DS
4) Terphenyl-D14
5) 1,2,3,4-TCDD
* DCAA = 2,4-Dichlorophenyl Acetic Acid
6) Dibutylchlorendate
10) D4-l,2-Dichloroethane
11) p-Difluorobenzene
12) p-Bromofluorobenzene
13) 2,4,5,6 Tetrachloro-m-xylene
* NMX = 2-Nitro-m-xylene
Form 10-9
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 56
MASTER LOG-GC ANALYSIS
Sample Type
W-Water
S-Sediment
F-Fish
B-Biological Material
P-Plant
WA-Waste
AP-Air Puffs
O-OU
MLW-Midlevel Waste
X-Others
Project
Ext
Sht
Project #
Sample
Type
Date
Received
(GC Lab)
Projected
Completion
Date
Analysis Type
Pest
PCB
Herb
Other
Analysis Progress
GC
Screen
Calc
Calc
Check
Date
Data
Recorded
Project File
Progress
Project Archive
Name
Form 10-10
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 57
Sample #_
Std PC Types
Reference Ref#_
PE Sample PE#
NEIC PRP
Method Spk
Other
PESTICIDE QC DATA REPORTING SHEET
H20 PEST MATRIX A
P27
Chemist
Instrument_
Vol/Wt.
Remarks
Date
Method_
Vol/Wt.
Test#
5030
5010
5005
5015
5075
5045
5175
5050
5070
5125
Compound
Gamma-BHC
Heptachlor
Aldrin
Heptachlor Epoxide
Alpha-Endosulfan
Dieldrin
Methoxychlor
P, P-DDT
Beta-Endosulfan
Endrin Aldehyde
Dup 1
Dup2
Spike
Added
500
1000
1000
1000
1000
1000
1000
2000
2000
2500
%Rec 1
%Rec 2
Form 10-11
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 58
SAMPLE #
Std PC Types
Reference Ref#_
PE Sample PE#
NEIC PRP
Method Spk
Other
PESTICIDE QC DATA REPORTING SHEET
H20 PEST MATRIX B
P28
Chemist
Date
Instrument_
Vol/Wt.
Method_
Vol/Wt.
Remarks
Test#
5020
5025
5035
5005
5055
5065
5165
5155
5060
5075
Compound
Alpha-BHC
Beta-BHC
Delta-BHC
Aldrin
P, P-DDE
Endrin
Alpha-Chlordane
Gamma-Chlordane
P, P-DDD
Endosulfan Sulfate
Dup 1
Dup2
Spike Added
500
1000
1000
1000
1000
1000
1000
1000
2000
2000
%Rec 1
%Rec 2
Form 10-12
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 59
Sample #
Std PC Types
Reference Ref#_
PE Sample PE#
NEIC PRP
Method Spk
Other
PESTICIDE QC DATA REPORTING SHEET
SOIL PEST MATRIX A
P29
Chemist
Instrument_
Vol/Wt.
Remarks
Date
Method_
Vol/Wt.
Test#
5030
5010
5005
5015
5075
5045
5175
5050
5070
5125
Compound
Gamma-BHC
Heptachlor
Aldrin
Heptachlor Epoxide
Alpha-Endosulfan
Dieldrin
Methoxychlor
P, P-DDT
Beta-Endosulfan
Endrin Aldehyde
Dupl
Dup2
Spike
Added
1250
2500
2500
2500
2500
2500
2500
5000
5000
6250
%Rec 1
%Rec 2
Form 10-13
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 60
Sample #_
Std PC Types
Reference Ref#_
PE Sample PE#
NEIC PRP
Method Spk
Other
PESTICIDE QC DATA REPORTING SHEET
SOIL PEST MATRIX B
P30
Chemist
Instrument_
Vol/Wt.
Remarks
Date
Method_
Vol/Wt.
Test#
5020
5025
5035
5005
5055
5065
5165
5155
5060
5075
Compound
Alpha-BHC
Beta-BHC
Delta-BHC
Aldrin
P, P-DDE
Endrin
Alpha-Chlordane
Gamma-Chlordane
P, P-DDD
Endosulfan Sulfate
Dupl
Dup2
Spike
Added
1250
2500
2500
2500
2500
2500
2500
2500
5000
5000
%Rec 1
%Rec 2
Form 10-14
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 61
A=COLOR CODE B=BOTTLE NUMBER C=DILUTION NUMBER
NAME SOLVENT
BOTTLE# COLOR CODE
COMPOUND
Parent
Sol. ID
A-B-C
Cone.
Parent
ng/ul
AH.
Vol.
ml
Fin.
Cone.
ng/ul
Fin.
Vol.
ml
1J1LU11UN Llrtlb INlllrtLo
BOTTLE# COLOR CODE
1.
2.
3.
4.
5.
COMPOUND
Parent
Sol. ID
A-B-C
Dilution #1
Date
Initials
2
Cone.
Parent
ng/ul
3
Ali.
Vol.
ml
4
5
Fin
Cone.
ng/ul
Fin
Vol.
ml
BOTTLE# COLOR CODE
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
COMPOUND
Parent
Sol. ID
A-B-C
Cone.
Parent
ng/ul
Ali.
Vol.
ml
Fin.
Cone.
ng/ul
Fin.
Vol.
ml
Dilution #
1
Date
Initials
2
3
4
5
6
7
8
9
10
Form 10-15
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 62
MQL1 GUIDELINES FOR DIFFERENT MATRICES
COMPONENT
Aldrin
Heptachlor
Kept. Epoxide
alpha-BHC
beta-BHC
gamma-BHC
delta-BHC
Endosulfan- 1
Dieldrin
pp-DDT
pp-DDE
pp-DDD
Endrin
DW
ug/1
(ppb)2
0.10 U
0.10 U
0.10 U
0.10 U
0.10 U
0.10 U
0.10 U
0.10 U
0.10 U
0.10 U
0.10 U
0.10 U
0.10 U
WATERS
(other)
ug/1
(ppb)2
0.50 U
0.50 U
0.50 U
0.50 U
0.50 U
0.50 U
0.50 U
0.50 U
0.50 U
0.50 U
0.50 U
0.50 U
0.50 U
SED
ug/kg
(ppb)3
SOU
SOU
SOU
SOU
SOU
SOU
SOU
sou
sou
sou
sou
sou
sou
WASTE
mg/kg
(ppm)4
0.20 U
0.20 U
0.20 U
0.20 U
0.20 U
0.20 U
0.20 U
0.20 U
0.20 U
0.20 U
0.20 U
0.20 U
0.20 U
FISH
mg/kg
(ppm)5
0.050 U
0.050 U
0.050 U
0.050 U
0.050 U
0.050 U
0.050 U
0.050 U
0.050 U
0.050 U
0.050 U
0.050 U
0.050 U
2 Based on an extraction of 1L and a final concentration vol. of 1.0ml.
3 Based on an extraction of approx. 25gm(dry weight) and a concentration
vol. of 4.0ml.
4 Based on an extraction of 1.0gm(wet weight) and a final concentration
vol. of 10ml.
5 Based on an extaction of 25gm(wet weight) and a final concentration vol
of 4.0ml.
DW = drinking water SED = sediments
Form 10-16
-------
Section: 10
Revision: 1
Date: December 1, 1997
Page: 63
MQL1 GUIDELINES FOR DIFFERENT MATRICES
Endosulfan -II
Endosulfan- SO4
Endrin Ketone
Methoxychlor
Tech. Chlordane
PCB
Toxaphene
0.10 U
0.10 U
0.10 U
0.25 U
0.25 U
0.50 U
5.0 U
0.50 U
0.50 U
0.50 U
1.0 U
1.0 U
2.0 U
20 U
SOU
SOU
SOU
200 U
200 U
500 U
3000 U
0.20 U
0.20 U
0.20 U
0.50 U
0.50 U
1.0 U
8.0 U
0.050 U
0.050 U
0.050 U
0.20 U
0.20 U
0.50 U
3.0 U
BOX NO.
STORAGE LOCATION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
97
98
Form 10-17
Form 10-17
-------
Section: 11
Revision: 0
Date: September 1990
Page: 1
11. INORGANIC ANALYSIS, PERFORMANCE QUALITY CONTROL AND ANALYTICAL OPERATION
11.1. Every element of environmental data acquisition, from sample
collection to final data reporting, has associated with it degrees of
error. The primary purpose of a quality assurance program is the
optimization of conditions whereby the introduction of error can be either
precluded or substantially reduced. The operating procedures and quality
control checks practiced in this laboratory and outlined in this manual
are implemented to minimize the total error associated with data
generation. No number can be affixed to total error; however, analytical
performance is measurable and thus definable. This section is limited to
a discussion of the analytical operation and procedures used in this
laboratory to measure and record analytical performance.
11.2. General
11.2.1. During the course of generating data on samples for inorganic
parameters, it is the policy of the Analytical Support Branch (ASB) to
apply the best laboratory practices, use approved methodology when
mandated by regulation, use standardized methodology, if possible,
when approved methodology is not applicable, fully document all
operations associated with the generation of data and to meet certain
quality requirements that will be designated in the following
paragraphs. It should be noted, however, that occasionally certain
matrices and samples present analytical challenges, or are not
amenable to standardized methodology. In these instances
modifications to standard protocols may have to be made to produce a
high quality analysis. When this occurs, any deviations from standard
operating procedures will be fully documented.
11.2.2. Safety precautions associated with the safe handling of toxic
chemicals, reagents, solutions and samples will be observed and
regarded as a first order responsibility of the analyst. The analyst
will take the necessary precautions to prevent exposure or harm both
to himself and his fellow workers.
11.2.3. Water used to prepare calibration standards, spike solutions,
standard reference solutions or any sample dilutions or mixtures must
meet or exceed the requirements for Type II grade water as specified
by the American Society for Testing and Materials (ASTM); Standard
Practice D 1193. This grade water is equivalent to Type II water as
specified in Standard Methods 1080. The parameter measured to verify
the quality of water is resistivity, with a requirement of 1 megohm-cm
at 25°C or better. See also section 2.2 of Handbook for Analytical
Quality Control in Water and Wastewater Laboratories (EPA 600/4-79-
019, March 1979), and any future updates of the manual. Reagent water
used for trace metals determinations must meet or exceed the
requirements for Type I grade water as specified by ASTM. The
parameter monitored to verify the quality of water is resistivity,
with a requirement of 18 megohms-cm at 25°C or better. This grade
water is equivalent to Standard Methods Type I water.
11.2.4. Reagents must be ACS reagent grade quality or better. All
reagents will be dated upon receipt, and will be properly disposed of
when the shelf life has been reached.
-------
Section 11
Revision: 1
Date: December 1, 1997
Page 2
11.3. Custody
11.3.1. The EPA Region IV Science and Ecosystem Technology Center is a
"controlled access" facility. Entry to the facility is restricted to
employees and is controlled by keycards. All visitors to the facility
must enter through the guard station at the main entrance and be
escorted by a host when in the facility. Additionally, access to the
custody room is controlled by keycard. Only employees with legitimate
reason for access to samples have keycard access to the custody room.
All samples removed from the custody room must be signed out. When a
sample is signed out, the signee is legally assuming custody of the
sample and is responsible for its integrity and accountability during
possession. Custody is relinquished only when the samples have been
returned and signed back to the custody room. Aliquots taken from the
original samples for analysis will be accounted for by entering sample
ID in the proper log books during preparation and analysis.
11.4. Metals Metals analyses are performed in support of various agency
programs. Some programs mandate methods (e.g. Drinking Water at 40CFR
Part 141 ff. and NPDES at 40 CFR Part 136), while others publish methods
strictly as guidance (e.g. RCRA except for the Characteristic Tests at
40CFR Subpart C Part 261.20 ff.) Subject to the restrictions in 11.2.1,
mandated methodology will be used for those analyses requiring them.
Guidance methods will be closely adhered to with the possibility of minor
changes which do not change the chemistry of the procedure. In any event,
all procedures will be fully documented. The following programs are
supported by laboratory analyses:
11.4.1. Drinking Water
11.4.1.1. Regulatory Authority: National Primary Drinking Water
Regulations are found at 40 CFR Part 141. National Secondary
Drinking Water Regulations are found at 40 CFR Part 143. In
general these regulations apply to Public Water Systems which are
defined as "a system for the provision to the public of piped
water for human consumption, if such system has at least fifteen
service connections or regularly serves an average of at least
twenty-five individuals at least 60 days out of the year."
Historically, this laboratory has analyzed few samples from public
water systems as the states have been delegated the authority for
monitoring public water supplies within their boundaries.
However, this laboratory does often analyze samples from
individual private potable wells. While not legally obligated to
adhere to the requirements of 40 CFR Part 141 for these samples,
this lab has chosen to follow the requirements Part 141 whenever
possible when analyzing private potable wells.
11.4.1.2. Identification of Samples: Drinking water samples from
public water systems will be logged into the data system with the
program element HOH. The requirements of 40 CFR Part 141 must be
adhered to for the analysis of these samples. Samples from
individual potable wells may be received under any program
element, the most common being RCRA or Superfund (SSF or NSF).
The samples will be identified on the sample log sheets as
"Potable Well", code PW. Requirements of 40 CFR Part 141 will be
met whenever practicable.
11.4.1.3 Preparation and Analysis of Drinking Water Samples: Any
or all of the following methods in Table 11.1 may be used by this
laboratory for the analysis of drinking water and potable well
samples. Prior to analysis samples will be digested using the
procedure in the approved method. The digestion step may be
-------
Section 11
Revision: 1
Date: December 1, 1997
Page 3
omitted on those samples with a turbidity of less than 1
nephelometric turbidity unit (NTU) and a "direct analysis" may be
performed. (Technical Notes on Drinking Water Methods, EPA 600/R-
94-173, October 1994 as referenced in 40CFR 141.23.)
-------
Section 11
Revision: 1
Date: December 1,
Page 4
1997
Table 11.1 Drinking Water Methods
ANALYTE
Antimony
Arsenic
Barium
Beryllium
Cadmium
Chromium
Lead
Mercury
Nickel
Selenium
Thallium
MCL (mg/L)
0.0061
0.0502
2.01
0.0041
0.0051
0.101
0.0153
0.0021
0.101
0.0501
0.0021
ICP4
200.7
200.7
200.7
200.7
200.7
200.7
Graphite
Furnace4
200.9
200.9
200.9
200.9
200.9
200.9
200.9
200.9
200.9
Graphite
Furnace5
3113B
3113B
3113B
3113B
3113B
3113B
3113B
3113B
3113B
ICP-MS4
200.8
200.8
200.8
200.8
200.8
200.8
200.8
200.8
200.8
200.8
200.8
CVAA4 ' 6
245.1
245.2
Footnotes:
1 40CFR 141.23
2 40CFR 141.11
3 40CFR 141.80
4 ICP method 200.7, Graphite Furnace Method 200.9, ICP-MS Method 200.8 and
Mercury CVAA Method 245.1 are in "Methods for the Determination of Metals
in Environmental Samples-Suppplement 1", EPA-600/R-94-111, May 1994.
Available from NTIS, PB 94-184942; (800) 553-6847.
5 Graphite Furnace Method 3113B is in 18th Edition of Standard Methods for
the Examination of Water and Wastewater, 1992, American Public Health
Association. Available from American Public Health Association, 1015
Fifteenth Street NW, Washington DC.
6 Mercury CVAA Method 245.2 is available from US EPA, NERL, Cincinnati, OH
45268. The identical method was formerly in "Methods for Chemical
Analysis of Water and Wastes", EPA-600/4-79-020, March 1983 which is
available from NTIS, PB84-128677; (800) 553-6847.
11.4.1.4. NPDES Monitoring: The National Pollutant Discharge
Elimination System (NPDES) is the national system for the issuance
of permits under section 402 of the Clean Water Act (CWA) of 1977
as amended. Test procedures for the analysis of pollutants are
found at 40CFR Part 136.
11.4.1.5. Identification of Samples: Samples received by this
laboratory will be logged into the data system under one of three
program elements; ICSI (Industrial Compliance Sampling
Inspection) , MCSI (Municipal Compliance Sampling Inspection) or
XCSI (Toxic Compliance Sampling Inspection).
11.4.1.6. Preparation and analysis of NPDES samples: Samples
received in support of the NPDES program will be prepared and
analyzed in accordance with the requirements at 40CFR 136. Table
11.2 lists approved test procedures for metals analyses that may
be used by this laboratory. Digestion is required prior to
analysis for all metals.
-------
Section 11
Revision: 1
Date: December 1, 1997
Page 5
Table 11.2 NPDES Methods
Analyte
Aluminum
Antimony
Arsenic
Barium
Beryllium
Boron
Cadmium
Calcium
Chromium VI
Chromium
Cobalt
Copper
Hardness
Iron
Lead
Magnesium
Manganese
Mercury
Molybdenum
Nickel
Potassium
Selenium
Silica
Silver
Sodium
Thallium
Tin
Titanium
Vanadium
Zinc
ICP
200. 71
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
200.
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
GFAA Other CVAA-HG
3113B2
3113B
3113B
3113B
3113B
3113B
3500-Cr D2
3113B
3113B
3113B
3113B
3113B
3113B
245. I1
245.2
3113B
3113B
3113B
3113B
279. 21
3113B1
283 .21
286. 21
289. 21
Footnotes:
-------
Section 11
Revision: 1
Date: December 1, 1997
Page 6
1 Methods for the Determination of Metals in Environmental Samples-
Suppplement 1, EPA-600/R-94-111, May 1994.
2 Standard Methods for the Examination of Water and Wastewater. American
Public Health Association,18th Edition,1992.
11.4.1.7. Other Waters: Monitoring well, ambient water, effluents
and other water samples are digested with nitric-hydrochloric
acids according to Method 200.2. All digests are scanned by ICP.
Where the detection/quantitation technique is specified by
program requirements, positive elements from the ICP scan will be
verified by atomic absorption to satisfy the appropriate
requirement. Mercury analyses are performed according to MCAWW1-
245.1 or 245.1-Region 4 Modification or 245.7 CVAF depending on
detection limit requirements. (245.1-Region 4 Modification
consists of an autoclave digestion instead of a water bath
digestion. The autoclave digestion of waters has proven effective
and allows for greater throughput than the water bath digestion.
All other method parameters remain the same.)
11.4.1.8. Soil and Sediment: A 50 g aliquot (approximately) is
taken from a well mixed sample and weighed in a crucible. The
sample is dried overnight at 60°C for a % moisture determination.
The dried sample is ground to fineness and a 1 g subsample is
taken for analysis. Sample digestion is conducted according to
Method 200.2 or Method 30502 for those samples containing large
amounts of organic matter and made up to 100 mLs for analysis.
11.4.1.9. Final low level data for thirty elements is generated by
ICP (Method 200.7), Graphite Furnace (Method 200.9 or 3113B) or
ICP-MS (Method 200.8, 6020, or 1638).
11.4.1.10. Mercury analysis of sediments will be conducted
according to method 245.5 - Either water bath digestion or Section
11.3 (autoclave digestion) in Methods for the Determination of
Metals in Environmental Samples, or by CVAF Region 4 method for
those samples requiring lower levels of detection.
11.4.1.11. Fish: Whole fish are initially prepared with dry ice
grinding followed by preparation by Method 200.3 (Methods for the
determination of Metals in Environmental Samples, Supplement 1:
EPA/600/R-94/111.)
11.4.1.12. Requests for analysis of individual organs or tissue
can be satisfied by using the sample in its entirety or sub-
sampling to obtain the maximum weight required for the analysis.
The tissue should be kept frozen during sub-sampling and weighing
to prevent fluid migration or drainage.
11.4.1.13. Mercury analyses on fish tissue are performed according
to Region 4 modification of Method 245.5.
11.4.1.14. Digestion of tissue for multielement analyses is con-
ducted according to Method 200.3 (nitric/peroxide) followed by ICP
detection. Detection limit requirements are satisfied by
manipulation of sample weight, final volume of digestate and in
certain instances, detection by HGAA graphite furnace.
11.4.1.15. Other Tissue: Generally, other tissues will be
prepared and analyzed the same as fish tissue with the additional
precaution during preparation to observe closely and add
additional reagents as required to thoroughly digest the sample.
-------
Section 11
Revision: 1
Date: December 1, 1997
Page 7
11.4.1.16. EP/TCLP Extracts: Waste samples for EP Toxicity
determinations will be extracted according to Method 1310A in SW-
846 and subsequent clarifications of the methodology as received
from Office of Solid Waste. The extract may be acid digested
(Method 3010A SW-846) and scanned by ICP for the usual 26
elements. If any of the drinking water parameters are above the
fail level in EP extracts, the parameter(s) will be confirmed by
the method of standard additions, Method 6010. (Figure 2-6,
Chapter Two, SW-846.) TCLP extracts will be prepared per Method
1311, optionally digested by Method 3010A and analyzed by Method
6010.
11.4.1.17. Oil and Oily Samples: Oil emulsions and oil samples
will be prepared in one of two ways on a wet weight basis. Those
oil samples which are thin enough to disperse on heating, yet not
cover the entire surface of the digestion fluid resulting in a
superheated solution will be prepared by Method 3050A. Those
samples not amenable to Method 3050A will be prepared by the
following method: The oil phase is weighed (1 g) into a small
crucible. The crucible is transferred to a muffle furnace and
brought up to 125°C for 1 hr. Increase temperature 175°C for 1
hr. Increase to 250°C for 1 hr. NOTE: Do not open furnace
during the procedure and until furnace has cooled to 100°C. The
sample is ashed overnight at 450°C maximum temperature. One mL of
concentrated nitric acid and 1 mL of concentrated hydrochloric
acid is added to the ash and warmed until ash is in solution.
This solution is diluted to volume and is ready for analysis by
ICP.
11.4.1.18. High Volume Filters: Air filters are prepared with a
digestion fluid as outlined in 40 CFR Part 50, Appendix G. The
digestion fluid is prepared by combining 167 mL of HN03 and 77 mL
of HCL and diluting to 1 Liter. The resulting digestion fluid is
2.6 M HN03 and 0.9M HC1. The Federal Register method uses an
ultrasonic extraction; however, an oscillating hot plate
extraction is also acceptable. Typically, a 1x8 inch strip of a
"high vol" filter is digested with a final volume of 100 mL, or a
1x4 inch strip is digested to 50 mL final volume. For the
preparation of "saturation" filters, typically the entire filter
is digested because of its small size.
11.4.1.19. Special Samples: Samples received for analysis which
are not amenable to the standard digestion techniques will be
prepared according to the best judgement of the analyst. These
cases will require additional documentation as to methodology,
quality control, and justification of the method used.
11.4.2. QC Requirements for Metals:
11.4.2.1. Sample Preparation
11.4.2.1.1. A blank solution will be prepared with each group
of samples to monitor for contamination of reagents, glassware
and the laboratory. Detectable blank levels up to ten percent
of sample concentration are permissable and are not an
indication of an out of control sample.
11.4.2.1.2. A spike solution, prepared from standard reference
materials (or laboratory standards that have been confirmed by
SRM) will be prepared with each group of samples. (A group is
defined as any batch of samples prepared together in the same
hood at the same time and with the same reagents). This
-------
Section 11
Revision: 1
Date: December 1, 1997
Page 8
solution verifies instrument calibration and monitors the
digestion procedure.
11.4.2.1.3. All projects will have at least one sample
duplicated and spiked. Projects with large numbers of samples
will be duplicated and spiked at the rate of ten percent.
11.4.2.2. Calibration Standards: Commercial single element or
multielement standard solutions will be used for the preparation
of instrument calibration solutions. These standards will be
dated when received and their concentration verified with standard
reference materials from NIST, commercial sources where available,
or reference samples from NERL-Cincinnati, QA Branch. All
commercial standards will undergo additional examination for trace
contamination of elements other than the specified element. Mixes
of these single element standards are prepared according to the
requirements of the instrument being used.
11.4.2.3. Instrument Calibration: All instruments will be cali-
brated with working standards diluted from commercial stock
solutions that have been verified to contain their stated
concentration. Instruments will be calibrated to cover the range
of concentrations found in the samples or the samples may be
diluted to fall within the calibration range. (The following
acceptable alternate technique is used in multi-element analyses
(ICP or ICP/MS) when an analyte exceeds the high standard: A high
level single element standard may be run to demonstrate that the
linear calibration range has not been exceeded and that no inter-
element interferences are presented by the higher level of the
analyte.) An initial calibration check solution should be run as
specified in the method. Calibration must be verified during each
set of samples at a frequency that will validate all data
generated for that set. Reference samples can also be considered
as calibration check samples.
11.4.2.4. Instrument Log Books: Will be maintained to record all
service and maintenance records.
11.4.2.5. Sample Analysis Records: Log books will be maintained
to record preparation of samples to include records of duplicates,
spikes, sample numbers, dates, analyst, etc.
11.4.2.6. Log Books: Will be maintained at each instrument to
record instrumental conditions and settings during the analysis of
samples.
11.4.2.7. Data Records: All raw data from instrumentation will be
retained for future reference in either hard copy or electronic
storage.
11.4.2.8. QC Data: Data generated from sample duplicates, sample
spikes, preparation blanks and SRM preparations will be compared
with historical data for that particular sample type and, if found
to be within acceptable limits, will be added to the QC data base.
If the data are not within acceptable limits, the samples will be
re-analyzed or will the data will be flagged. If, after a second
analysis, the data still remains outside acceptable limits, data
will be flagged and reported.
11.4.2.9. Glassware and Equipment: All glassware/teflon vessels
will be placed into a detergent soak immediately after use and
must not be allowed to dry while dirty. After thoroughly soaking,
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Section 11
Revision: 1
Date: December 1, 1997
Page 9
all detergent is removed by rinsing, followed by a 20% nitric acid
rinse and finally a thorough rinsing with DI water. Allow to
drain on its side and seal with parafilm or a glass stopper before
storage in an upright position. Pipets are rinsed immediately
after use and placed in a detergent soak until moved to an
automatic rinser with DI water. Labware used in ultra-trace
analyses may require more rigorous specialize cleaning.
Footnotes:
1 MCAWW - Methods for Chemical Analysis of Water and Wastewater.
EPA 600/4-79-020, March 1979. (Revised March 1983), and any
future updates.
2 SW846 - Test Method for Evaluating Solid Waste, EPA 1982, and
any future updates.
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Section 11
Revision: 1
Date: December 1, 1997
Page 10
11.5. General Inorganic
11.5.1. Preparation and Analysis: A large portion of the samples that
require analysis for nonmetal inorganic constituents (commonly
referred to as Nutrients/Classicals) are NPDES Projects. These
samples are analyzed according to acceptable methods listed in 40 CFR
Part 136. In addition to these methods, other methods are used as
appropriate for programs other than NPDES. The current approved
versions of all methods are used for regulatory purposes. Guidance
methods will be closely adhered to with the possibility of minor
changes which do not change the chemistry of the procedure. In any
event, all procedures will be fully documented. Table 11.3 lists
parameters routinely analyzed in this laboratory and methods of
analysis. In addition to these parameters, the lab is capable of or
is in the process of developing capability for analysis of dermal
corrosion, heat of combustion, and trace level analysis for several
parameters.
11.6. QC Requirements for General Inorganic
11.6.1. Sample Preparation
11.6.1.0.1. A blank solution will be prepared with each group
of samples to monitor for contamination of reagents, glassware
and the laboratory.
11.6.1.0.2. All projects will have at least one sample
duplicated and spiked. Projects with large numbers of samples
will be duplicated and spiked at the rate of ten percent.
11.6.1.1. Instrument Calibration: All instruments will be cali-
brated with working standards diluted from commercial stock
solutions that have been verified to contain their stated
concentration when these commercial solutions are available and
use is appropriate. Instruments will be calibrated to cover the
range of concentrations found in the samples or the samples may be
diluted to fall within the calibration range. An initial
calibration check solution should be run as specified in the
method. Calibration must be verified during each set of samples
at a frequency that will validate all data generated for that set.
Reference samples can also be considered as calibration check
samples.
11.6.1.2. Instrument Log Books: Will be maintained to record all
service and maintenance records.
11.6.1.3. Sample Analysis Records: Log books will be maintained
to record preparation of samples to include records of duplicates,
spikes, sample numbers, dates, analyst, etc.
11.6.1.4. Log Books: Will be maintained at each instrument to
record instrumental conditions and settings during the analysis of
samples.
11.6.1.5. Data Records: All raw data from instrumentation will be
retained for future reference. Where readings are read directly
from an instrument, these readings are considered raw data and are
recorded in the appropriate log book.
11.6.1.6. QC Data: Data generated from sample duplicates, sample
spikes, preparation blanks and SRM preparations will be compared
with historical data for that particular sample type and, if found
to be within acceptable limits, will be added to the QC data base.
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Section 11
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Page 11
If the data are not within acceptable limits, the samples will be
re-analyzed. If, after a second analysis, the data still remains
outside acceptable limits, data will be flagged and reported.
11.6.1.7. Reference materials: Sources outside the lab will be
used for reference materials when available. As of November 1997,
the following parameters do not have commercial sources known to
this lab: color, settlable solids, acidity, and TVSS.
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Section 11
Revision: 1
Date: December 1, 1997
Page 12
Table 11.3 Nutrients/Classicals Capabilities and Methods
Analyte
Acidity
Alkalinity
Ammonia
BOD
Chloride
Chlorine,
Residual
COD
Color, ADMI
Color, Apparent
Color, Pt Co
Conductivity
Cyanide
Fluoride
Hardness
Nitrate/Nitrite
Nitrite
Oil and Grease
% Solids or
Moisture
PH
Phenols
Phosphorus
Phosphorus ,
Ortho
Solids
Sulfates
Sulfides
Method Other than 40 CFR Part
136 and Comments
Sedmt-EPA Region 4 method: 1
similarly to aqueous samples
g sample distilled
NPDES Methods and Method 3001
Sedmt digested according to note in Std Mthds2 p. 4 -19
2.b.
Summation of Ca+Mg carbonates
Method 353. 2M- formal request
Test Procedure 11/97
Sedmt-EPA Region 4 method: 1
dilute acid
(ICP)
submitted for Alternate
g sample leached into
Method 1664- interim approval
821-B-94-0046
4/96, Document # EPA-
SW-846 Method 9040 or 9045
Sedmt-EPA Region 4 method: 0.
similarly to aqueous samples
2 g sample digested
NPDES Methods and Method 3001
Sedmt distillation3 followed by methylene blue color
development
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Section 11
Revision: 1
Date: December 1, 1997
Page 13
TKN
TOG
Turbidity
MCAWW 351.2-Cu
compound
Sedmt -Method 42
compound substituted
4, pp3-22
for Hg digestion
Footnotes:
1 Methods for the Determination of Inorganic Substances in Environmental
Samples. EPA/600/R-93/100, August 1993.
2 Standard Methods for the Examination of Water and Wastewater. American
Public Health Association, 18th Edition, 1992.
3 Chemistry Laboratory Manual "Bottom Sediments". Great Lakes Region
Committee on Analytical Methods, EPA-FRQA, December 1969.
4 Procedures for Handling and Chemical Analysis of Sediment and Water
Samples. USEPA/Corp of Engineers.
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Section: 12
Revision: 1
Date: December 1, 1997
Page: 1
12. PERFORMANCE QUALITY CONTROL DATA HANDLING
12.1. All performance quality control data (Section 10, and 11) are trans-
ferred from the data books and forms to the appropriate quality control
logs or data entry forms. Quality control logs or forms are maintained
for inorganic parameters, organics and pesticides, metals and
microbiological parameters.
12.2. The following subsections contain the techniques used to measure
analytical performance:
12.2.1. Precision Data
12.2.1.1. Organic - Precision is expressed as percent relative
standard deviation and is calculated by the formula:
% RSD = S x 100
X
Where: £3 = Standard Deviation
X = Mean
12.2.1.2. Inorganic - Precision is expressed as relative percent
difference and is calculated by the formula:
% RPD = D x 100
X
Where: D = Difference between measurements
X = Mean
12.2.2. The estimated standard deviation may be calculated by the
following equations fpr duplicate analysis:
S = + (Xx - X2) 0.89
Where: Xx and X2 = individual observations.
For replicate analysis (any number >2)
NOTE: Automatic calculators
S =
+n E X2 - (EX)2 may be used to deter-
\| n(n-l) mine S if this formula
is used.
Where: X = individual observations.
n = number of observations.
Do not use this formula for n=2.
12.3. Accuracy Data
12.3.1. Accuracy is expressed as percent recovery and calculated by
the formula:
Z - X
% Recovery = T (100!
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Section: 12
Revision: 1
Date: December 1, 1997
Page: 2
Where: X = concentration in unspiked sample.
Z = concentration in spiked sample.
T - True concentration of spike added.
12.4. Annual Analytical Performance Summary
12.4.1. At the end of each fiscal year, a summary report of the
Branch's analytical performance is prepared. Contained in this report
are: the precision data (average percent RSD or RPD, upper warning
and control limits), and accuracy data (average total percent recovery
of spiked samples, AQC reference samples, and performance audit
samples where possible). This summary will contain all parameters for
which adequate quality control data have been generated during the
year.
12.4.2. Participation in EPA Performance Evaluation Studies.
12.4.2.1. The Branch will participate in announced EPA performance
Evaluation Studies. Performance on these studies further
indicates the effectiveness of the laboratory's day-to-day quality
control procedure.
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Section 13
Revision: 0
Date: August 1990
Page 1
13. ANALYTICAL CORRECTIVE ACTIONS
13.1. Corrective action will be taken at any time during the analytical
process when deemed necessary based on analyst judgement or when quality
control data indicate a need for action. Generally, corrective action
will be triggered by such things as: poor analysis replication, poor
recovery, instrument calibration problems, blank contamination, etc. (See
previous sections for specifics).
13.2. Corrective actions will include, but not necessarily be limited to:
reanalysis, calculation checks, instrument recalibration, preparation of
new standards/blanks, re-extraction/digestion, dilution, application of
another analysis method, additional analysts training, etc. Most
frequently, these corrective actions will be initiated by the analyst at
the time of analysis. However, some corrective actions are initiated
subsequent to analysis based on evaluations performed by quality assurance
or laboratory management personnel.
13.3. All data corrective actions will be noted on the appropriate log,
chromatogram, strip chart or data report.
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Section 14
Revision: 0
Date: August 1990
Page 1
14. DATA QUALITY OBJECTIVES
14.1. During the planning phase of a project requiring laboratory support,
the data user must establish the quality of data required from the
investigation. Such statements of data quality are known as Data Quality
Objectives (DQO's). The DQO's are qualitative and quantitative statements
of the quality of data required to support specific decisions or
regulatory actions. The laboratory is responsible for producing data of
known quality and consistent with that prescribed in the DQO.
14.2. The laboratory will select analytical methods, instruments,
parameter detection limits, etc. which are capable of producing data of
the quality required by the DQO. The quality of a data set is defined in
terms of: precision, accuracy, representativeness, completeness and
comparability. The significance of each of these measures differs
according to their applicability to the laboratory and to a particular
data set. A brief explanation of the above measures are as follows:
14.2.1. Precision and accuracy. These are quantitative measures that
characterize the amount of variability and bias inherent in a given
data set. Precision refers to the level of agreement among repeated
measurements of the same characteristic. Accuracy refers to the
difference between an estimate based on the data and the true value of
the parameter being estimated (See Section 13).
14.2.2. Representativeness. Refers to the degree to which the data
collected accurately reflect the population, group or medium being
sampled.
14.2.3. Completeness. Refers to the amount of data that is
successfully collected with respect to that amount intended in the
study design.
14.2.4. Comparability. Refers to the ability to compare data from
different sources with a degree of confidence.
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Attachment 5
Battelle Quality Assurance Management Plan
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Battelle
Marine
Sciences
Laboratory
Quality Assurance
Management Plan
January 2000
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GBaneiie
. . . Putting Technology To Work
Marine Sciences Laboratory
Quality Assurance Management Plan
Introduction
The purpose of the Battelle Marine Sciences Laboratory (MSL) Quality Assurance
Management Plan is to describe the Quality Program implemented at the facility. This
plan summarizes the elements of the quality assurance program and discusses the
quality control activities routinely used for MSL work. The objective of the Quality
Program is to obtain accurate and precise data consistent with project objectives. The
MSL QA Program has evolved over time to meet client needs but its roots are from the
U.S. Environmental Protection Agency's Quality Assurance Management Staffs
requirements specified in QAMS 005/80 which has been updated to the "EPA
requirements for Quality Management Plans", EPA QA/R-2. While this plan sets forth
Quality Program requirements, project plans and work plans are used to define project-
specific customer requirements.
This QA Management Plan is divided into three volumes:
Volume 1 MSL administrative and management requirements
Volume 2 Marine and Environmental Chemistry QC and technical requirements
Volume 3 Marine Ecological Processes QC and technical requirements
Implementation of the policies and requirements specified in the MSL Quality Assurance
Management Plan and the associated MSL procedures will provide defensible and
credible data enhancing the quality of MSL products and services.
R.M. Ecker
MSL Manager
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OBaltelle
. . . Putting Technology To Work
Marine Sciences Laboratory
QUALITY ASSURANCE MANAGEMENT PLAN
VOLUME 1
May 2000
Battelle Marine Sciences Laboratory
1529 West Sequim Bay Road
Sequim, Washington 98382
(360)681-3645
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Battelle Marine Sciences Laboratory
QUALITY ASSURANCE MANAGEMENT PLAN
VOLUME 1
Concurrences and Approvals
D. Coffey Date
Quality Assurance Officer
360-681-3645
E.A. Crecelius Date
Marine and Environmental Chemistry
Technical Group Manager
360-681-3604
R.M. Thorn Date
Ecosystem Processes and Restoration
Technical Group Manager
360-681-3669
J.A. Ward Date
Ecotoxicology and Risk Assessment
Technical Group Manager
360-681-3669
R. M. Ecker
MSL Manager
360-681-3602
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Battelle Marine Sciences Laboratory
QUALITY ASSURANCE MANAGEMENT PLAN
VOLUME 1
Contents
Issue Date Rev.
1.0 INTRODUCTION 1/2000 2
1.1 QUALITY ASSURANCE MANAGEMENT PLAN
1.2 POLICY STATEMENT
1.3 OVERVIEW OF PROGRAM
1.4 SCOPE
2.0 ORGANIZATION AND PERSONNEL 1/2000 3
2.1 ORGANIZATION
2.2 RESPONSIBILITIES
2.3 PERSONNEL QUALIFICATIONS AND EXPERIENCE
2.3.1 Responsibilities
2.3.2 Training
2.3.3 Documentation
2.3.4 Improper, Unethical or illegal Actions
3.0 FACILITIES AND EQUIPMENT 5/2000 4
3.1 FACILITIES
3.2 EQUIPMENT
4.0 PROCUREMENT AND CONTROL 5/2000 4
4.1 MATERIAL PROCUREMENT AND CONTROL
4.2 SUBCONTRACTORS
5.0 PROJECT PLANNING DOCUMENTS 1/2000 1
5.1 RESPONSIBILITIES
5.2 CONTENT AND FORMAT
5.3 APPROVAL AND DISTRIBUTION
5.4 DATA QUALITY OBJECTIVES
6.0 STANDARD OPERATING PROCEDURES 1/2000 2
6.1 SCOPE AND PURPOSE
6.2 CONTENT AND FORMAT
6.3 RESPONSIBILITIES
6.4 REVIEWS AND APPROVALS
6.5 DISTRIBUTION AND CONTROL
6.6 MODIFICATION AND REVISION
7.0 LABORATORY DOCUMENTATION AND RECORDS 1/2000 1
7.1 DOCUMENTATION
7.2 RECORDS
8.0 SAMPLE CONTROL 1/2000 2
8.1 PROCEDURES
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8.2 RESPONSIBILITIES
9.0 QUALITY CONTROL 5/2000
9.1 INTERNAL QUALITY CONTROL CHECKS
9.2 APPROVALS BY OUTSIDE AGENCIES
9.2.1 Certifications
9.2.2 Performance Evaluation
10.0 DATA REDUCTION, REPORTING, AND VALIDATION 1/2000
10.1 DATA REDUCTION
10.2 REPORTS
10.3 DATA VALIDATION
10.4 MSL DATA AUDIT PROCESS
10.5 CONFIDENTIALITY
11.0 VERIFICATION ACTIVITIES 5/2000
11.1 ASSESSMENTS
11.2 DATA AUDITS
11.3 QA REPORTS TO MANAGEMENT
11.4 CORRECTIVE ACTION
12.0 QUALITY IMPROVEMENT 1/2000
12.1 TECHNICAL PERFORMANCE
12.2 ASSESSMENT ACTIVITIES
APPENDICES
A LIST OF ACRONYMS 1/2000 0
B BATTELLE MSL PERSONNEL 5/2000 4
C BATTELLE MSL STANDARD OPERATING PROCEDURES 5/2000 4
in
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Quality Assurance Management Plan Date: January, 2000
Volume 1 Page 1 of 3
1.0 INTRODUCTION
1.1 QUALITY ASSURANCE MANAGEMENT PLAN
The purpose of this Quality Assurance (QA) Management Plan (QAMP) is to describe Battelle's QA
Program as implemented within the Marine Science Laboratory (MSL). This QAMP summarizes
elements of quality assurance and the quality control (QC) activities routinely used to perform work by
collecting accurate and precise data consistent with project objectives. This QAMP has been designed to
meet the requirements of many of the MSL's clients and addresses elements of the Environmental
Protection Agency's (EPA's) Quality Assurance Management Staffs (QAM's) "EPA Requirements for
Quality Management Plans", EPA QA/R-2, the Navy QA Program and the requirements for the National
Environmental Laboratory Accreditation Program (NELAP). While this plan establishes the quality
assurance program requirements, Quality Assurance Project Plans (QAPjPs), sample analysis plans and
"kits" assembled at the time of sample receipt, are used to define any project specific quality requirements
not contained in this plan.
A copy of this QAMP is available to each staff member, who is expected to be aware of, and perform his
or her assignments in accordance with, the QA requirements stated in this document. The signature
page at the front of the QAMP indicates MSL management's review, consensus and approval.
To ensure that the QAMP remains current, it is reviewed annually and updated as needed. If major
changes are needed, the entire document is re-issued; if only minor changes are needed, only the
affected sections are updated. The document control header in the upper right hand corner of each page
signifies that the document is controlled. Upon revision of the document (or selected sections), the
effective date is updated and the revision number incremented by one. The revisions are reviewed and
approved as described below and distributed to the staff. The QAMP will be issued by the MSL Quality
Assurance Officer.
1.2 POLICY STATEMENT
The commitment of Battelle to quality assurance is reflected in the following statements from the Battelle
Pacific Northwest National Laboratory (PNNL) policies:
• We are committed to provide services and products of the highest quality consistent with the needs,
expectations, and resources of our customers.
• We are committed to continuously improving our processes, systems and capabilities so that we
can increase the technology-based value of products delivered to our customers.
In accordance with these principles, the MSL has developed a QA Program to assure that all activities
affecting the quality of data or products produced for clients are thoroughly planned and coordinated by
project teams. The policy of the MSL is to ensure that all data generated, processed, or used in
completing each task are scientifically valid, legally defensible, and of known and acceptable quality. As
part of PNNL, the MSL is committed to the corporate policy of providing quality products and services and
committed to their clients to ensure that sampling and analytical procedures are properly executed,
sample integrity is not compromised, all QC procedures are implemented and recorded, and only valid
data is reported. To attain this goal, the MSL has implemented the QA Program summarized in section
1.3.
1.3 OVERVIEW OF PROGRAM
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Volume 1 Page 2 of 3
The objective of the MSL's QA Program is to provide clients with quality products and services. A critical
element in providing quality products is the maintenance of a QA Program that provides for conducting
activities in a planned and controlled manner, thereby permitting the verification of quality performance.
The consistent delivery of products of acceptable and documented quality requires commitment and
adherence to QA and QC principles and procedures throughout the performance of each task. A
commitment to quality is an integral part of every employee's job at the MSL. In addition, the MSL
recognizes that formal functions are necessary to assure Battelle Management and it's clients that the
work performed and the technical products produced meet client needs and conform with their specific
data quality objectives and requirements. These formal functions are QA and QC. QA includes all
systems designed to assure MSL management and the client that data were collected, processed, and
interpreted in accordance with the requirements of the planning documents; that all aspects of work
performance, including data generation and analysis are adequately documented; and that all data are
accurate and fully traceable. For this system to be effective, each individual must understand his or her
role in implementing the program. The responsibilities, authorities, and accountabilities with the MSL QA
Program are defined in Section 2.0. QC functions include all activities that are designed to assess or
control precision and accuracy of measurements and data. QC functions involve performance of
procedures necessary to attain and document the prescribed standards of performance in all
measurement and data collection processes.
One of the first steps of the planning process is the development of data quality objectives (DQOs) (refer
to Section 5.4). DQOs provide the criteria needed to design a study, and once determined, become part
of the project planning documents (Section 5.0). In addition to the objectives, the project planning
documents define the methods, personnel, schedule, and deliverables associated with the project. The
project planning documents are supported by standard operating procedures (SOPs), which are detailed
documents that describe the approved methods for instrument calibration, data collection, processing,
reduction and reporting (Section 6.0). Planning also involves ensuring that staff members are fully
qualified and trained to perform their responsibilities (Section 2.0) and that facilities and equipment are
adequate and appropriate for their use (Section 3.0). Procurement of qualified subcontractors (Section
4.0) is also a key consideration during the project planning stage.
A major component of the work performed by the MSL involves the collection and analysis of samples for
chemical, biological, and physical parameters. A sample control system is essential to ensure that the
history of each sample is documented and verifiable (Section 8.0). QC activities are implemented during
the performance of the work to measure and control the quality of the product (Section 9.0). Additional
methods of quality assessment are data validation and document reviews (Section 10.0) and QA
verification activities (Section 11.0). Deficiencies noted during the assessment process are reported to
management who take the necessary remedial action to bring the system into compliance (Section 11.3).
Quality improvement processes are implemented to ensure that problems identified are solved, and do
not recur (Section 12.0).
1.4 SCOPE
Battelle MSL comprises three technical groups: Marine and Environmental Chemistry, Ecotoxicology and
Risk Assessment, and Ecosystem Processes and Restoration. These groups provide a wide range of
contract research services related to environmental programs, primarily related to the marine
environment. The QA program defined in this document applies to all projects performed by Battelle
MSL, both for external clients and other components of Battelle.
The services and products provided by Battelle MSL are used by our clients for a variety of purposes,
including defining baseline environmental conditions, assessing environmental effects, as evidence in
litigation, and as the basis for regulatory decisions. The diversity of projects demands a flexible QA
program that is cost-effective, yet meets the needs of the client and the standards of Battelle MSL. This
document describes the framework of Battelle MSL's QA Program and defines the minimum standards
that apply to all projects. This QAMP is supplemented by SOPs and project planning documents (i.e.,
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Battelle Marine Sciences Laboratory Revision: 2
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Volume 1 Page 3 of 3
QAPjPs, work plans, toxicity testing plans). MSL procedures provide detailed descriptions of QA
activities, as well as the QC requirements for routine technical procedures. Project planning documents
define the specific quality objectives for projects and describe the procedures necessary to attain those
objectives.
This QA Management Plan is divided into three volumes:
Volume 1 MSL administrative and management requirements
Volume 2 Marine and Environmental Chemistry QC and technical requirements
Volume 3 Marine Ecological Processes QC and technical requirements
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Battelle Marine Sciences Laboratory Revision: 3
Quality Assurance Management Plan Date: January, 2000
Volume 1 Page 1 of 6
2.0 ORGANIZATION AND PERSONNEL
This section describes the organization of the MSL and defines the associated responsibilities,
authorities, and accountabilities.
2.1 ORGANIZATION
QA at MSL is an interdisciplinary line management function. MSL's responsibility assignments are that 1)
quality is achieved and maintained by those who have been assigned responsibility for performing work,
and 2) quality achievement is verified by those not directly responsible for performing the work. The
organization of Battelle MSL is illustrated in Figure 2.1.
The QA Officer has the authority and organizational freedom to identify quality problems, to initiate,
recommend or provide solutions, and to verify implementation. All verification activity reports are made
available to line and project management. Line and project management are responsible for identifying
and assuring implementation of corrective action to all deficiencies.
Any MSL employee can initiate a stop work on the basis of a safety or quality concern. The immediate
supervisor shall be immediately notified of the concern and the shall initiate investigative activities or
initiate implementation of corrective actions.
2.2 RESPONSIBILITIES
Quality Assurance Officer
The QA Officer provides overall direction to, and management of, all Battelle MSL QA activities. Specific
responsibilities include
• Developing the QAMP and updating it, as needed, to reflect Battelle MSL policies and procedures
• Developing project budgets for QA activities and reviewing proposals for adequate and appropriate
QA requirements
• Assisting project managers in defining the QA/QC procedures to be used during a project
• Administering a training program related to QA policies and procedures
• Scheduling, planning, and conducting verification activities (assessments, data audits) of projects
and facilities
• Preparing written reports summarizing the results of verification activities for distribution to project
managers and MSL management
• Participating in, or coordinating, inspections and audits conducted by clients and regulatory
agencies
• Preparing periodic status reports of QA activities and verification results for MSL management
• Reviewing and approving technical procedures, project planning documents, and reports
• Preparing SOPs of QA activities
• Scheduling annual SOP review, distributing SOPs, maintaining an SOP log, and archiving historical
SOPs
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Battelle Marine Sciences Laboratory Revision: 3
Quality Assurance Management Plan Date: January, 2000
Volume 1 Page 2 of 6
• Conducting training sessions on QA functions and activities.
The MSL QA Officer is part of the Battelle Process Quality Department located in Richland, WA and
reports to the supervisor of that Department. The MSL QA Officer does not report to anyone at the
Sequim facility, thereby attaining independence.
Marine Sciences Laboratory Manager
The MSL Manager provides overall management of the MSL and has responsibility for all the laboratory's
operations.
Technical Group Leader
Technical Group Leaders are responsible for ensuring the quality of products produced within their group.
Specific responsibilities include
• Ensuring that all activities related to meeting the data quality objectives defined in the MSL QAMP
are being performed
• Providing sufficient resources, including both time and staff, to meet project and laboratory
objectives
• Ensuring that all products produced from their group are reviewed and approved according to
Battelle MSL policy before being released
• Ensuring that all projects have adequate project planning documents prior to initiation
• Promptly and appropriately correcting deficiencies noted during QA verification activities
• Ensuring that any SOPs that are required within the group are written, reviewed, and revised
accordingly
• Identifying and addressing training needs
Project Manager
The Project Manager has overall responsibility for the management of project activities. Specific
responsibilities include
• Administering and supervising all project tasks to ensure that all project objectives are met, on time,
within budget, and of appropriate quality
• Preparing project planning documents and ensuring that the plans are reviewed and approved
according to MSL policies
• Ensuring that the project objectives are communicated to project personnel and that project
personnel are trained to perform any procedures unique to the project
• Reviewing all project reports and deliverables
• Addressing project-specific deficiencies that are identified during verification activities
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Battelle Marine Sciences Laboratory Revision: 3
Quality Assurance Management Plan Date: January, 2000
Volume 1 Page 3 of 6
Laboratory Supervisor
Laboratory supervisors provide the day-to-day oversight activities of the laboratory. Specific
responsibilities include
• Organizing equipment, staff, and materials
• Providing technical direction in the performance of tasks
• Resolving day-to-day problems, including instrument operation, calibration and use concerns and
ES&H issues
• Reviewing records and data associated with the tasks under their direction for accuracy, validity
and completeness
• Communicating with the project manager and advising him/her of problems, progress and needs
Staff Member
Each staff member has the following responsibilities:
• Performing work to the specified procedures in conformance with the project planning documents,
applicable SOPs, and Battelle MSL policies, including ethical and legal responsibilities
• Identifying safety and quality concerns and informing the appropriate supervisor
• Communicating to the appropriate manager any deviation from established procedures or issues
requiring corrective action
• Defining appropriate QA requirements for purchased items and services
Contracts/Business Representative
• Providing acquisition, contracts, and related business support to the MSL that assists in meeting
the strategic goals and objectives of the MSL and its clients
• Assisting staff in ensuring that the proposal preparation process meets the goals of the MSL
• Ensuring that QA requirements are specified in procurement documentation
ES&H Representative
• Overseeing and implementing core ES&H support services (Environmental Compliance, Safety,
Health, and Training) to ensure laboratories and staff compliance with regulations
• Ensuring and assessing that proper waste handling, safety measures, and training are being
performed by and for staff in conjunction with work performed at the MSL.
Environmental and Safety Engineer and Radiation Safety Officer
• Managing laboratory water and ventilation supply and discharge systems in compliance with
environmental and health regulations and in support of lab missions
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• Managing lab radiation safety program in compliance with regulations and in support of lab
missions
2.3 PERSONNEL QUALIFICATIONS AND EXPERIENCE
The quality of MSL products depend, in part, on the competence and expertise of the staff involved. It is
MSL policy that all individuals involved in the conduct or supervision of projects (including laboratory
technicians, field personnel, toxicolegists, analysts, data-processing personnel, supervisors, project
managers, and QA staff) must have the necessary education, training, or experience to perform their
assigned tasks. This objective is achieved by hiring personnel with the appropriate qualifications and
providing continual training and opportunities for professional growth.
A summary of experience and qualifications is documented on the Qualification and Training form and
placed in the individual's training file. In addition, a list of personnel and an associated biosketch is
maintained for each employee and are shown in Appendix B of this QAMP. Biosketches are revised as
needed.
2.3.1 Responsibilities
The MSL Manager is ultimately responsible for ensuring that appropriately qualified personnel are hired,
resources for training are allocated, and that appropriate training and professional growth are provided,
and records of training are maintained. Within a group, these responsibilities rest with the Technical
Group Leader.
Each individual's supervisor is responsible for identifying specific training needs, ensuring that the
employee receives the necessary training to perform his/her assigned tasks, and assigning personnel to
project tasks in accordance with their experience and skill.
Each individual is responsible for completing required training and submitting training records and
certificates to their supervisor, for updating their biosketch as needed, and for identifying and completing
additional training that may be required, but was not assigned.
2.3.2 Training
Specific training requirements are contained in procedure, MSL-A-006, Marine Sciences Laboratory
Training. Training begins the first day of service and continues throughout a staff member's term of
employment. Introductory seminars on Battelle policies and organization, QA, ethical and legal
responsibilities, and Environment, Safety, and Health (ES&H) are presented during an orientation
program. Technical training begins prior to work being performed, through reviews of procedural
documents and demonstrations by experienced personnel. Introductory courses are augmented by
general and project-specific train ing that is conducted periodically. All personnel assigned to projects
receive training to acquire the necessary skills to perform their responsibilities. Technical training is
accomplished through a variety of approaches, including
• Direct hands-on training. Training is accomplished by reviewing procedural documents (e.g.,
SOPs, project work plans), proficiency testing, and supervision by experienced personnel. Each
MSL procedure includes the training requirements associated with that procedure, including any
proficiency tests.
• Project kickoff meetings. Kickoff meetings ensure that all project personnel are aware of the project
objectives and the methods to be used to accomplish the objectives. This also includes field safety
training at the beginning of each sampling period.
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• In-house technical seminars. These seminars, which are available to all personnel, are conducted
by MSL staff or guest speakers and generally cover current projects or related research programs.
• Continuous education through a tuition reimbursement program.
• Attendance of professional meetings and outside workshops.
ES&H training is provided to each employee who works in the laboratory or whose responsibilities expose
them to potential risk or hazard. Training includes chemical, physical, biological, radiological, and
mechanical hazards. Training is conducted and coordinated by the MSL ES&H Representative.
QA training is conducted by the QA Officer. Briefings and one-on-one training on general or project-
specific topics related to QA (e.g., sample custody, data validation, Good Laboratory Practices [GLPs])
are conducted as needed. A Battelle on-line training module titled, Quality Program Training (course
#1366) is available. The employee completes the training activity and prints a training completion form
that must be signed and submitted to the training department to obtain credit. The signed form is
evidence that the employee has read; acknowledges, and understands their personal QA responsibilities.
2.3.3 Documentation
Records of training and qualifications include the following:
• MSL training assignments
• Certificates attesting to the attendance or completion of external courses
• Resumes and biosketches
• ES&H Records
Original records of training and qualifications are maintained by the Technical Group Managers. Copies
of technical training records are forwarded to the QA Officer.
2.3.4 Improper, Unethical or illegal Actions
Training courses in ethical and legal responsibilities including the potential punishments & penalties for
violations are provided by Battelle via on-line computer training. The applicable course title and number
are Battelle Standard of Business Ethics and Conduct, course number 1062. The employee completes
the training activity and must score 80% or better. The module allows the successful employee to print a
training completion form that must be signed and submitted to the training department to obtain credit.
The signed form is evidence that the employee has read; acknowledges, and understands their personal
and legal responsibilities including potential punishments & penalties for violations; and provides the
required training documentation.
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Battelle Marine Sciences Laboratory
Quality Assurance Management Plan
iBaflelle
Putting Technology To Work
Marine Sciences Laboratory
Section: 2
Revision: 3
Date: January, 2000
Page 1 of 6
Marine Sciences Laboratory
Manager
R.M. Ecker
ES&H
D.S. Coffey
Business Administration
J. H. Slater
Quality Assurance
D.S. Coffey
Facilities and Operations
J.A.Nimmo
Marine and Environmental
Chemistry
E.A. Crecelius
Business Development
Ecotoxicology and
Risk Assessment
TBD
Ecotoxicology
J.A. Ward
Data Management
C.R. Suslick
Inorganic Laboratory
C. W. Apts
Ecosystem Processes
& Restoration
R.M. Thorn
Mercury Laboratory
B.K. Lasorsa
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3.0 FACILITIES AND EQUIPMENT
Pacific Northwest National Laboratory is a research and development laboratory operated by Battelle
Memorial Institute, Pacific Northwest Division (Battelle), a non-profit organization. Among the entities that
operate Department of Energy (DOE) National Laboratories, Battelle is the only entity that holds a Use
Permit contract with the U. S. Department of Energy in addition to its operating contract. Battelle is the
only DOE Management and Operating Contractor that actually owns a significant amount of our own land
and buildings, rather than occupying exclusively government-owned property. The method of obtaining
contract research business under the Use Permit is to prepare and submit technical or research
proposals to potential clients. Battelle MSL is part of the PNNL, operated for the U.S. DOE by Battelle
Memorial Institute under Contract DE-AC06-76RLO.
3.1 FACILITIES
Battelle MSL is located in Sequim, WA on 125 acres fronting Sequim Bay, and consists of 40,000 square
feet of laboratory and office space housed in two buildings - a beach facility containing bioassay
laboratories, and an upland facility for analytical laboratories and office space. The facilities support
approximately 40 scientists and support staff and about 15 on-site contractors and graduate research
students.
Biological Laboratories
Two bioassay laboratories provide 5,300 sq ft of space for studies requiring flowing seawater. Four
separate distribution systems supply seawater and/or freshwater to the laboratories. High quality, Class
AA seawater is obtained from Sequim Bay through an all-PVC system with two independent intakes. A
redundant system of three pumps provides a continuous supply of filtered and unfiltered seawater to
experimental tanks. An emergency diesel generator ensures continuous seawater supply and other
essential services in the event of electrical failure. Furthermore, the system is checked daily every 2 to 4
hours while experiments are in progress. A 16,000-gal reserve tank provides filtered seawater to the wet
laboratories for up to 18 hours in the event of failure of all three pumps. Seawater at ambient
temperature (9-11 °C) can be provided at a rate of 250 GPM, and up to 20 GPM of seawater can be
supplied at temperatures ranging from 0-38°C through a chiller and gas-fired heat exchange system.
Fresh water is also supplied to the laboratories from uncontaminated groundwater reservoirs.
Holding and breeding facilities fora variety offish, shellfish, and freshwater, estuarine, and marine plants
are provided in these laboratories and in outdoor tanks. All water leaving the seawater laboratory is
passed through a treatment system to ensure no impact is made on the receiving environment.
Analytical Chemistry Laboratories
Analytical laboratories in the beach facility consist of two general purpose bioassay preparation
laboratories occupying approximately 1,000 sq ft. These laboratories provide space and equipment for
conducting measurements supporting the bioassays, such as water quality parameters, pH, dissolved
oxygen, temperature, and salinity. They also provide work stations for microscopy and space for sample
storage and preservation.
Analytical laboratories in the upland facility consist of two banks of five fully-equipped chemistry
laboratories, each occupying 600 sq ft. The chemistry laboratories are equipped with state-of-the-art
instrumentation and supplies, including an array of mass spectrometers, chromatographs, analytical
balances, rotary evaporators, freeze-driers, microwave digestion systems, sonicators, freezers,
refrigerators, and drying ovens. The following are some of the specialized purposes that these
laboratories serve:
General Laboratory for Rceipt of Smples and Peparation for Analysis:
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General Organic Chemistry Laboratories for preparation of sample extracts for gas chromatography and
mass spectroscopy, and analysis for physical properties of sediment. A high-performance liquid
chromatography (HPLC) system, with variable-wavelength UV detector, fluorescence detector, auto
injector, fraction collector, integrator, and data reduction system is available for specialized sample
preparation.
Analytical Services
Gas Chromatography and Mass Spectroscopy Laboratory for conducting specialized cleanup procedures
and analyses of oil and grease, polynuclear aromatic hydrocarbons, phenols, polychlorinated biphenyls
by congener or Aroclor, pesticides, and organotin compounds. The laboratory contains three
microprocessor-controlled high-resolution gas chromatographs: two Hewlett-Packard Model 5890A, and
one Model 5890 Series 2 equipped with a mass spectrometer. Detectors available include
flame-ionization detection (FID), flame photometric detection (FPD), and electron-capture detection
(ECD). The laboratory also contains a VG Fison Model TRIO 1000 GC/LC/Mass Spectrometer.
Metals Chemistry Laboratory for preparation of samples for metals analyses and determination of basic
chemical and physical properties of samples such as pH, salinity, grain size, total volatile solids, and
percent dry weight, as well as instrumentation for counting radioisotopes used in age-dating sediments.
Inorganics Laboratory for metals analyses using a Perkin Elmer Elan 5000 Inductively Coupled Plasma
Mass Spectrometer and two atomic absorption spectrophotometers: a Perkin-Elmer Model 5000 and a
Perkin-Elmer3030 equipped with a background corrector, graphite furnace or flame capability,
autosampler, and printer and rapid-response recorder.
Specialized Mercury Analysis Laboratory for ultra-trace level (picogram/liter) analysis of mercury in water
samples, and parts per trillion analysis of total and methylmercury in water, tissue, and sediment using
analytical methods developed at Battelle MSL.
Specialized Sulfide Analysis Laboratory for trace level determination of inorganic sulfur compounds in
water and sediment using gas generation, purge and trap, and gas chromatography coupled with flame
photometric or photoionization detection.
Physical Oceanography Laboratory for gas exchange research, contains a whitecap simulator with two
large tanks, a Dantec laser-doppler velocity and particle analyzer, electronics shop, computer-controlled
data loggers, and extensive test equipment and chemical instrumentation.
Computer Facilities
Battelle MSL staff use PC, Macintosh, and UNIX-based computer systems connected via a local area
network. The systems are linked to other on- and offsite hardware composed of some 6700 workstations
and servers, minicomputers, database and file repositories, Web servers, and supercomputer facilities.
Battelle MSL has access to the numerous online databases accessible through Dialog Information
Services. Commercial databases such as BIOSIS (Biological Abstracts), Chemical Abstracts, Oceanic
Abstracts, Enviroline, and many others can all be accessed quickly by computer at MSL. Other
databases such as Aquatic Sciences and Fisheries Abstracts, National Technical Information Service, ad
ToxChem (Toxicology and Chemistry) are accessible through the University of Washington libraries.
Through such access to information, literature searches can be conducted efficiently at MSL.
Safety and Security
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The safety of MSL employees is of paramount importance. Therefore, the MSL buildings are equipped
with structural safety features (e.g., fire doors and extinguishers, emergency lighting systems), alarm
systems which serve to alert the staff in the event of emergencies (e.g., fire/smoke alarm), and
engineering controls designed to minimize exposure to potential hazards (e.g., fume hoods).
The security of the facility is an important consideration because of the type of work performed by the
MSL. Access to the MSL grounds and buildings is controlled through a card-access and lock and key
system. During business hours, all visitors must enter through the main lobby and sign in with the
receptionist. Selected areas within the facility are secured at all times and their access limited to
authorized personnel. These areas include the walk-in cold room used for sample storage, the records
storage area, the solvent shed, and the GLP data archives. Procedure, MSL-A-011, MSL /Access
Control, describes the process in detail.
Computer security is a function of the PNNL network and is administered from facilities located in
Richland, WA. Staff have individual responsibility to back up files, instruments and data bases at
regularly scheduled intervals which are described in the MSL procedure, MSL-D-004, Data Reporting,
Reduction, Back Up, and Archiving.
3.2 EQUIPMENT
The quality of MSL products is directly related to the validity of the data produced. To produce valid data,
equipment must be properly operated, maintained, and calibrated. Preventive maintenance and primary
maintenance is provided through the Battelle Facilities and Operations staff located in Sequim, but
located organizationally in Richland, WA. The MSL maintains a wide variety of equipment related to the
collection and analysis of chemical, biological, and physical oceanographic parameters. To support the
generation of data of known and acceptable quality, the following general guidelines are implemented
• The appropriate and necessary equipment, instruments, and supplies must be available in
adequate quantities to perform the proposed work. Spare parts for critical components are
maintained to minimize downtime.
• Measuring and testing equipment is properly handled and stored to maintain accuracy.
• All equipment involved in the collection and analysis of environmental data is operated, maintained,
and calibrated according to approved procedures and specified schedules.
• Equipment is serviced regularly by qualified individuals, either trained in-house personnel or
through service contracts with the manufacturer or an authorized representative. For example,
balances are cleaned and calibrated by a Battelle Preferred-Supplier, and analytical instruments
have service contracts with manufacturers such as Perkin-Elmer. Most support equipment (e.g.,
ovens, refrigerators, freezers, hoods) servicing is done internally by Battelle Facilities and
Operations staff. When problems arise that can not be corrected internally, external contractors or
manufacturer's representatives are contacted.
• Written records of all instrument maintenance, calibration, testing, and inspection are maintained.
Maintenance records contain a description of the operation or problem, the remedial action taken (if
necessary), date, and the person responsible.
• When equipment or instrument maintenance is required, equipment is monitored by facilities to
ensure correct operation. Analytical instrument operation after maintenance is monitored by the
responsible analyst by running a calibration curve and assessing results of standard reference
materials (SRMs) .
• All calibrated equipment is suitably marked to indicate calibration status.
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Written direction on equipment operation (e.g., operating manual, manufacturer's instruction, and
SOPs) are maintained with the equipment and are available to personnel using the equipment.
All balances are calibrated annually orsemi-annually by an approved metrology laboratory. All
balances are checked daily prior to use with certified weights by a designated laboratory technician.
These performance checks are documented in balance logbooks.
All cold-storage facilities are monitored daily with a calibrated or certified thermometer. Acceptable
temperature ranges for refrigerators is 4 ±2 °C and for freezers is -20 ±10 °C. The ultra-low freezer
is maintained at -68 + 5 °C.
Specific equipment lists for the Marine and Environmental Chemistry Group are contained in Volume 2.
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4.0 PROCUREMENT AND CONTROL
4.1 MATERIAL PROCUREMENT AND CONTROL
Examples of items that generally have a significant influence on the quality of MSL work, and therefore
generally need defined quality requirements are the following:
• Standards and reference materials
• Reagents, chemicals and solutions
• Animals and feed
• Computer software and hardware, and
• Some miscellaneous items such as designed equipment
Procurement activities at MSL are guided by procedure, MSL-A-012, Procurement, which should be
consulted to determine appropriate QA requirements before initiating procurement actions.
Miscellaneous Procurements
Miscellaneous procurements of items that have a significant influence on the quality of MSL work,
generally need defined quality requirements. When the purchaser does not know if quality requirements
should be specified, the rule is to request the MSL Quality Assurance Officer or representative to make
this determination and document it as a note, letter or email.
Material Receiving Inspection
When the MSL orders materials that require certification (i.e., standard or certified reference materials
(SRMs, CRMs), standards, precleaned sample containers, etc.), a request for certifications shall be made
on the purchase order. Standards and reference materials must be traceable to the National Institute of
Standards and Technology (NIST; formerly the National Bureau of Standards or NBS) or other nationally-
recognized standard (e.g., American Society for Testing Materials [ASTM]). The traceability must be
documented by a certificate or label that verifies this link. The traceability documentation must be
received and found to be acceptable by MSL staff before material use. Acceptance of these items and
certifications shall consist of verifying that the lot numbers on the certifications and the jar and/or boxes
are the same. Approval shall be indicated by a signature and date of signature on the certificate.
Pending receipt of this documentation and its acceptance, affected material must be segregated to
prevent inadvertent use. Certifications received will be maintained in the Project or Central files.
Reagent and Standard Inventory Procedures
The procurement of reagents, chemicals and solution should include requirements for shipping stocked
inventory materials with the longest period to the expiration date (i.e., the freshest material) possible, with
lot numbers specified. In some cases where extremely high purity material is requested, a request for
purity documentation may be necessary.
Procurement procedures should require that a manufacturer's recommended expiration date be provided
with every standard material. If manufacturer's expiration dates are not provided, the laboratory must
assign an appropriate expiration date, based on professional judgement and in consideration of the shelf
life for similar materials at similar concentrations. The technical basis for each such determination must
be documented in the project file by the responsible analyst, and approved by the Project Manager.
MSL follows the Pacific Northwest National Laboratory's (PNNL's) Standards-Based Management
System (SBMS) requirements for logging in reagents, chemicals and solutions into the associated
Chemical Management System (CMS). This system provides the PNNL Laboratory with policies and
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procedures regarding tracking and inventory, storage, and disposal of completed samples and analytical
wastes as well as chemical use and disposal. The CMS is used to provide an up-to-date inventory to
facilitate emergency response, monitor the location of various classes of materials and identify situations
where acceptable limits for the building/facility determined by the assigned chemical hazard group and
fire zone might be exceeded before a violation occurs. An assigned Sample Inventory Coordinator
provides bar codes for each chemical item when it is received and assigns it to a location. The item then
is tracked in the CMS until disposal. The system is also used to ensure that facility limits based on the
chemical hazard group and the assigned fire zone determination are not exceeded.
Organisms and Feed
The procurement of organisms and feed for bioassays should include requirements for chain of custody
of animals during shipping and documentation of any available feed analyses, feed storage
recommendations, and expiration dates so that feed quality can be monitored. Animal shippers should be
requested to document conditions of animals and environmental parameters (temperature) at the time of
shipping for comparison with conditions encountered at the time of receipt. In some cases, it might be
important to include QA requirements for a minimum/maximum thermometer or temperature strip in the
cooler at the time of shipping. Requirements regarding common carriers, Saturday delivery acceptability
and locations, and other details might also be specified in QA requirements documents.
Computer Software and Hardware
QA requirements for the procurement of hardware must ensure that hardware is compliant for periods
where clock or time information settings provided by the manufacturer might affect future hardware
operation. QA requirements for the procurement of software should follow some general guidelines:
• Commercial software that has been developed under the manufacturer's QA Program and fully tested
before release is preferable to other types of software developed under lesser or no QA Program
• Documents necessary to demonstrate that software was developed using a Life Cycle approach such
as User's Manuals shall be requested when software is ordered.
• Licenses that come with the software and original documentation should be requested, obtained and
protected.
• Software that requires a signed site license agreement can only be purchased by individuals with
appropriate delegations.
• Hardware/Software that exceeds $5,000 can only be purchased with appropriate management
approvals.
• Software procured as a product under a subcontract must specify detailed QA requirements for
software development and use, and provide plans for testing, verification and validation tests and
include acceptance criteria.
Solvent Storage Policies
Solvents used in the laboratory are in containers of 4 liters or less. On receipt they are logged in, bar-
coded, and tracked, as are all chemicals. No more than a working day's supply of flammable or
combustible solvents is permitted out of flammable storage in a laboratory; at the end of the day, these
materials must be returned to flammable storage. Large flammable storage cabinets, located in an area
separate from the building, are used for storage of solvents that exceed the lab's storage capacity.
Waste Disposal
Hazardous wastes at the MSL are managed in accordance with Washington State Department of
Ecology's Chapter 173-303 WAC, "Dangerous Waste Regulations." The MSL is a "less the 90-day
storage" facility and a medium-quantity generator and, as such, fulfills all the requirements outlined in the
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regulation regarding proper labeling, designating, inspections, and timely disposal of hazardous waste.
Staff who generate/handle waste are trained annually in waste management procedures.
Section 1.3 of Volumes 2 and 3 of this QAMP addresses specific requirements for sample disposal.
4.2 SUBCONTRACTORS
MSL policy for sending to work to subcontractors is that MSL routinely does not subcontract analyses that
can be performed in house. In some situations this could occur, if the capacity of the laboratories is not
adequate to meet a project deadline. MSL does contract project analyses when this approach is a
project-specific requirement. All staff are expected to clearly and completely specify appropriate
requirements for purchased goods and services consistent with project needs. This is done by developing
a statement of work that includes, number of samples, sample matrix, required procedure, applicable
holding times, quality control sample requirements and project data quality objectives, and data
deliverables. Materials, equipment, and services shall be delivered at reasonable costs, with delivery
times consistent with the specific project and business needs of the Laboratory. Costs and commitments
will be recorded in a timely and accurate manner. Battelle MSL is ultimately responsible for the quality of
work performed by its subcontractors. Therefore, procedures have been established to ensure that
subcontractors involved in environmental data collection programs are qualified to perform their
responsibilities, that project objectives, methods, and responsibilities are clearly defined and
communicated, and the work performed is monitored to assess conformance to the project specifications.
The approved supplier list maintained by the WA DOE is one source for identifying appropriate
subcontractors to provide performance evaluation samples (refer to Section 9.2). PNNL also maintains a
list of approved suppliers for analyses, and this list is used as a starting point to define subcontractors. If
the subcontractor is not on an approved list, then the subcontractor must have demonstrated or provided
proof of the necessary technical capabilities, facilities, resources, and experience to perform the specified
tasks. The contract specifies the costs, technical services, QA requirements, deliverables, and schedule
of performance. The contract must include a Statement of Work (SOW) in sufficient detail so that the
scope of work, methods, quality assurance requirements, responsibilities, deliverables, and due date are
clearly understood by the MSL and the subcontractor.
In terms of QA, each subcontractor must have a written description of its QA program, that defines the
policies, procedures, and responsibilities implemented to ensure the quality of the data or other products
provided to the MSL. More detail may be found in procedure, MSL-A-012, Procurement. In addition, it is
expected that the following standards will be met.
• If appropriate, the subcontractor must have an internal QC program. Analysis of internal QC
samples (the type and frequency to be specified in the SOW) must be performed in conjunction with
analysis of MSL samples and the results reported with the sample data.
• Written descriptions of all procedures involving environmental data collection and generation must
be available and implemented.
• Equipment used to generate data must be maintained, calibrated, and operated according to written
procedures.
• Subcontractor personnel must be properly trained and qualified.
• Adequate procedures for record management and reviewing documents and data products must be
in place and implemented.
Whenever deemed appropriate by the Project Manager and the MSL QA Officer, the MSL QA Officer
shall perform audits of subcontractors. These audits may include data audits, inspection of facilities, or
inspection of project activities.
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5.0 PROJECT PLANNING DOCUMENTS
Project planning documents (e.g., work plans, QAPjPs, toxicity testing plans, health and safety plans, field
sampling plans) are documents that describe the objectives of a project and the methods, organization,
and QA and QC activities necessary to meet the goals of the project. It is Battelle MSL policy that each
project conducted by the MSL must have a planning document that adequately describes the work to be
performed, has been approved by the Project Manager, and is in place prior to the start of work.
5.1 RESPONSIBILITIES
It is the responsibility of the Project Manager to:
• Ensure that a project work plan, QAPjP or both is prepared prior to work initiation and that it meets
the requirements of the MSL, the client, and any applicable regulations
• Approve the plan and to obtain any other necessary approvals
• Ensure that the planning documents are made available to project personnel
• Ensure that project participants are adequately trained to perform the assigned work and that the
training is documented as required.
Each staff member involved in the project is responsible for performing his/her task(s) in conformance
with the planning documents. MSL staff members are also responsible for notifying their supervisor or
the appropriate manager of any deviations to the procedures/methods specified in the planning
documents.
The QA Officer is responsible for reviewing project planning documents for conformance to relevant
regulations and MSL policies.
5.2 CONTENT AND FORMAT
A significant amount of the work performed by the MSL is conducted for the U.S. EPA. EPA requires that
all environmental data-collection activities conducted for the EPA must be covered by a QAPjP.
Therefore, all project planning documents prepared for the EPA must adhere to specific content and
format requirements, as dictated by the EPA office involved. Protocols written for studies conducted
under Food and Drug Administration (FDA) or EPA GLP standards must adhere to the specifications of
21 Code of Federal Regulations (CFR) Part 58 (FDA), 40 CFR Part 160 (EPA/ Federal Insecticide,
Fungicide, and Rodenticide Act [FIFRA]), or 40 CFR Part 792 (EPA/Toxic Substances Control Act
(TSCA), as applicable.
In the absence of client-driven requirements, the MSL has established minimum standards for project
work plans. These are, as applicable
• A descriptive title, client name, Battelle project number, and effective date
• The identities of the project manager, task leaders, and other key project personnel, including
subcontractors
• A statement of the general goals and the specific DQOs of the project
• A description of the experimental design and procedures
• A description of the QA and QC procedures that will be applied to the project tasks
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• The project schedule, including milestones and deliverables
• A description of the types of data to be recorded
• A statement of deliverable requirements
5.3 APPROVAL AND DISTRIBUTION
At a minimum, the planning documents must be approved by the Project Manager. Additional approvals
may be required by MSL policy or by the client. All planning documents shall be approved before work is
started on the project.
The project planning document is distributed, or made available to, all key personnel involved in the
project and to the QA Officer. It is expected that all work will be conducted according to the planning
documents. Modifications to approved planning document procedures should be made only with the
concurrence of the Project Manager.
5.4 DATA QUALITY OBJECTIVES (DQO)
DQOs are defined as the criteria needed to design an environmental data collection program. DQOs are
developed from a multi-step, reiterative process that involves, project management, technical staff, and
the individuals who will be using the data to make decisions. The DQO process entails
• Stating the problem to be resolved, including limitations of time and resources
• Identifying the decision that will be made using the data
• Identifying inputs to the decision, including the environmental measurements needed and the
criteria for taking action
• Specifying how the results will be summarized and used
• Specifying acceptable error rates (i.e., limits on uncertainty)
The objective of the DQO development process is to design a cost-effective program that will provide the
necessary amount and type of sufficient-quality data.
During the development of DQOs, the parameters of accuracy, precision, completeness, comparability,
representativeness, and sensitivity are commonly considered when measuring data quality. These
qualitative and quantitative parameters are described below.
Accuracy is a measure of the bias of a system or measurement. It is the closeness of agreement
between an observed value and an accepted value.
Precision is the degree of mutual agreement among individual measurements of the same property
obtained under similar conditions.
Completeness is the amount of data collected as compared to the amount that was needed to ensure
that the uncertainty or error is within acceptable limits.
Comparability is a measure of the confidence with which one data set can be compared to another.
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Representativeness is the degree to which data accurately and precisely represent a characteristic of
a population.
Sensitivity is the capability of methodology or instrumentation to discriminate among measurement
responses for quantitative difference of a parameter of interest.
Once the acceptable error rate has been defined, the program's QA requirements are developed in
response. The specific types of QC samples used to measure data quality are discussed in Section 9.0
ofthisQAMP.
Further definitions and applications of DQOs for chemical and biological analyses are contained in
Volumes 2 and 3 of this QAMP.
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6.0 STANDARD OPERATING PROCEDURES
6.1 SCOPE AND PURPOSE
Battelle MSL's policy requires that SOPs be written for all routine environmental measurement
procedures that are associated with data collection and analysis and related QA/QC activities.
Procedures that are not routine, or are unique to a project, are described in project planning documents
or in written protocols included in the project files. Subjects that are covered in SOPs include, but are not
limited to:
• Sample collection
• Sample handling, preservation, and storage
• Chain-of-custody procedures
• Sample analysis
• Bioassay toxicity testing
• Equipment use, maintenance, and calibration
• Record management
• Data reduction, processing, and validation
• QA verification activities
SOPs are documents that describe procedures that must be followed to ensure the integrity and quality of
data. SOPs serve a multi-purpose function, including to
• Reduce the introduction of errors and variables by ensuring the consistent use of appropriate
procedures
• Communicate to the necessary people (e.g., client, project personnel) how the work will be
conducted
• Increase the effectiveness of training by clearly and consistently communicating the approved
method of performing a procedure
• Provide a historical record of the work performed
• Provide a basis for data comparability
• Provide a basis for maintaining reproducible results and producing defensible data.
A list of all MSL procedures is contained in Appendix B of Volume 1 of this QAMP.
6.2 CONTENT AND FORMAT
Each SOP must be clearly written and include sufficient detail to clearly describe the operation to be
carried out so that a qualified individual can perform the procedure. However, it should be flexible
enough to accommodate expected variations while maintaining the integrity of the procedure and the
quality of the data being generated. SOPs covering equipment must include descriptions of calibration,
operation, and maintenance requirements. Procedural SOPs must contain sections on preparation,
procedures, calculations, and quality control. Equipment and procedural SOPs must also include a
discussion of the safety concerns associated with the equipment or procedure. All SOPs must state the
objective or application of the SOP topic and must stipulate the requirements for the successful
completion of training. Specific requirements for content and format are stipulated in SOP, MSL-A-003,
Guidelines for SOP Format and Control.
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6.3 RESPONSIBILITIES
Each Technical Group Leader is responsible for ensuring that the routine procedures needed within their
group are written and for providing resources for their preparation. The Technical Group Leader also is
responsible for approving all procedures produced within his/her group.
The individual preparing the SOP is responsible for ensuring that the SOP completely and accurately
describes the procedures, is based on sound scientific principles or recognized procedures, and conforms
to the MSL standards for procedure documentation as specified in MSL-A-003, Guidelines for SOP
Format and Control).
The QA Officer is responsible for
• Assigning each SOP a unique number and entering it into the SOP controlled document log
• Reviewing and approving all SOPs
• Distributing approved SOPs
• Maintaining historical files of SOPs
6.4 REVIEWS AND APPROVALS
Draft procedures must go through a formal review and approval process. At least one technical reviewer
of record is assigned. Additional technical reviewers are encouraged for new procedures. The MSL QA
Officer and the Technical Group Manager are also reviewers and provide final signature approval. Users
should be included in the review process to ensure that the procedure is accurate and able to be
implemented. Review comments for all reviewers can be submitted to the procedure file. Review
comments and any documentation of comment resolution by the technical reviewer of record (who
provides signature approval) should be submitted to the QA Officer to be maintained in the procedure file.
The SOP is reviewed, and when satisfactory, is signed and dated, at a minimum, by the following people:
• Author - who becomes the procedure subject matter expert
• Technical Reviewer - should be someone who will be able to assure that the procedure is technically
adequate, complete and correct.
• MSL Quality Assurance Officer (not required for safety procedures)
• MSL Manager for non-technical procedures or the appropriate Technical Group Manager for technical
procedures.
6.5 DISTRIBUTION AND CONTROL
Copies of all current MSL procedures are kept in the QA Office and are available to all MSL staff upon
request. In addition, MSL Procedure Manuals, which contain copies of all current MSL Procedures are
issued to managers and professional-level staff and are located in areas that are accessible to all staff
requiring their use. All procedures used at the MSL will be controlled by the QA Officer. Original SOPs,
both current and historical versions, are maintained by the QA Officer.
6.6 MODIFICATION AND REVISION
Changes to SOPs must be controlled to ensure documentation and traceability to the modification. SOP
modifications fall into three categories: one-time modifications, interim changes, and major changes.
One-Time Modifications
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A "one-time" modification is used when the change is for a one-time use of the procedure. This situation
is often guided by a customer request. It is not intended to result in modifications to other copies or future
uses of the procedure.
If the change is significant, then the user should document the modification and associated justification,
obtain the approval of the project manager, and proceed with the modified work activity.
If the change is not significant, then the user should document the modification and associated
justification, proceed with the modified work activity, and later have the change reviewed by the project
manager.
The modification and justification shall be documented in an appropriate place such as the data sheet,
daily log or other raw data documentation.
Interim Changes
An interim change may be made when a procedure requires a modification and formal revision is not
prudent or timely. This can be used for minor changes (minor procedural changes, typographical errors,
etc.) or changes of a more substantive nature. The user should document the interim change; and the
line or project manager who required the procedure should approve the change. The interim change
should be communicated to all users of the procedure, and the user should then initiate the review and
approval process to revise the procedure if the change is substantive or permanent.
Major Changes
Major changes (e.g., new equipment specifications, maintenance procedures, and major procedural
changes) require a revision of the procedure. Major revisions must go through the writing of a formal
review draft and receive approval consistent with the requirements specified in Section 4.3 above.,
before being implemented. All revised procedures retain their original number assignments but are
issued a new revision number.
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7.0 LABORATORY DOCUMENTATION AND RECORDS
A critical component in the generation quality products is proper record keeping and the maintenance of
the records after project completion. Documentation must be sufficiently detailed so that the data are
traceable and program data could be reconstructed based on the project records. These records must be
maintained in a secure location and must be identifiable and retrievable.
7.1 DOCUMENTATION
It is Battelle MSL policy that data generated during the course of a project must be capable of
withstanding challenges to its validity, accuracy, legibility and traceability. To meet this objective, data
are recorded in standardized formats and in accordance with prescribed procedures. All staff members
whose responsibilities include recording data must be aware of, and adhere to, the procedures during the
performance of their work. Briefly, data must be entered onto data sheets or in project notebooks directly,
promptly, and legibly. All entries must be made in reproducible ink, and must be initialed and dated by
the person making the entry. Changes or corrections to data must not obliterate the original entry, but
must be indicated with a single line through the original entry. All changes or corrections must be
accompanied by the initials of the person making the change, the date, and when not obvious, an
explanation of the change. Specific requirements for documentation are included in procedures MSL-D-
001, Recording Data on Data Sheets and Laboratory Notebooks and MSL-D-004, Data Reporting,
Reduction, Back Up, and Archiving.
7.2 RECORDS
The MSL data archive system is designed to ensure that materials are stored in an orderly manner under
secure conditions, and may be easily and promptly retrieved should the need arise. Specific details are
found in procedures MSL-D-003, Archiving of Records, data, and Retired SOPs and in MSL-D-004, Data
Reporting, Reduction, Back Up, and Archiving.
All material generated during a project conducted by the MSL must be archived upon completion of the
project. All records necessary for the interpretation and evaluation of project data, including planning
documents, raw data and other documentation, correspondence, and reports, should be retained. The
Project Manager is responsible for ensuring the project materials are collected, organized, and forwarded
to the archives at the end of the project. MSL policy is to retain electronic data files for five years, unless
otherwise specified by customer request. Hard copy data are stored indefinitely as per MSL procedure
MSL-D-003, Archiving of Records, Data, and Retired SOPs which primarily addresses GLP requirements.
Archives are controlled access (locked) storage rooms. Data are stored and retrieved by project number.
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8.0 SAM RLE CONTROL
Sample control is the formal system designed to provide sufficient information to reconstruct the history of
each sample. This system involves procedural, record keeping, and organizational components and is
critical for any environmental program that is generating data that may be used for regulatory decisions or
in support of litigation.
8.1 PROCEDURES
The MSL sample control system encompasses the following elements
• Upon collection or preparation, each sample is assigned and labeled with a unique identification
code that allows it to be tracked through analysis and reporting. Assignment of identification
numbers is on a group or project-specific basis.
• Standard forms are used to document the history of each sample, including collection, storage,
preservation, processing, and analysis.
• Samples are received, logged in, stored, and archived according to SOP MSL-A-001, Sample Log-
in Procedure.
• Samples are stored in controlled or secure areas.
• Transfer of the custody of samples (both within the MSL and to outside agencies) and the removal
of samples in and out of storage is documented in accordance with SOP MSL-A-002, Sample
Chain of Custody.
Specific sample custody requirements for the Marine Chemistry and Ocean Processes Group and the
Marine Ecological Processes Group are addressed in Volumes 2 and 3 respectively.
8.2 RESPONSIBILITIES
Sample custody responsibilities must be clearly defined and understood by all personnel involved for the
system to be effective. Samples are considered to be in a person's custody if
• The samples are in a person's actual possession
• The samples are in a person's view after being in that person's possession
• The samples were in a person's possession and then were locked or sealed to prevent tampering
• The samples are in a secure area
The sample collector is responsible for the proper collection, preservation, and labeling of samples, and
for documentation of sample history and custody in the field. The sample collector also is responsible for
packaging the samples for shipment and for arranging for transportation to the laboratory.
Responsibilities of the laboratory sample custodian include receiving and inventorying the samples,
placing them in storage, and completing the documentation associated with these procedures. The
laboratory sample custodian also is responsible for informing the Project Manager of the samples' arrival
and for promptly notifying him/her of any broken, missing, or compromised samples.
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9.0 QUALITY CONTROL
QC activities are performed by technical personnel during the conduct of the project. The purpose of
these functions is to measure the quality of the data and if necessary, adjust the measurement system so
that the specified level of quality is attained.
9.1 INTERNAL QUALITY CONTROL CHECKS
The following are common types of QC procedures implemented by the Battelle MSL Marine Chemistry
and Ocean Processes Group.
Method blanks - Method (or procedural) blanks are prepared in the laboratory using the same
reagents, solvents, glassware, and equipment as the field samples and accompany the field samples
through analysis. Method blanks serve as a means to measure contamination associated with
laboratory processing and analysis.
Matrix spikes - Matrix spike (MS) samples are field samples that are spiked in the laboratory with
target analytes and analyzed under the same condition as the field samples. Matrix spikes provide a
measure of the recovery efficiency of the analytical method and are generally analyzed in duplicate
(matrix spike/matrix spike duplicate [MSD]).
Blank spikes - Blank spikes are similar to matrix spikes but are prepared by spiking the target
analytes into a clean matrix (e.g., deionized water). Blanks spikes also are used to measure the
recovery efficiency of the analytical method, but without the interference of the matrix.
Laboratory replicates - Laboratory replicates consist of splitting a single sample or compositing and
splitting two or more samples in the laboratory, and subsequently processed and analyzed as separate
samples. Laboratory replicates serve as a measure of the error associated with the analytical process.
Standard reference materials (SRM) - SRMs are materials for which certain properties have been
certified by a recognized authority.
Reference samples - Reference samples are samples for which selected properties are known,
generally through historical analysis. Reference samples are used as a benchmark for similar
analyses.
QC samples may also be collected in the field to monitor contamination and to assess sampling error.
Common field-related QC samples include
Equipment blanks - Equipment blanks are prepared in the field using the freshly decontaminated
sampling equipment. Deionized water is poured over and through the equipment, collected in an
identical sampling container, and shipped to the laboratory for processing and analysis. Equipment
blanks measure the contamination associated with the entire sampling and analytical process.
Split samples - Split samples are obtained by compositing sample material in the field and dividing
the material into separate containers for processing and analysis. Split samples are used to assess
the total error associated with sampling and analysis. If split samples are sent to separate laboratories
for analysis, intelaboratory variation may also be obtained.
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Field replicates - Field replicates are two or more separate samples that have been collected from the
same sampling point. Field replicates also serve to measure the error associated with the entire
sampling and analytical process, including variation inherent in the sampled media.
QC checks are associated with biological toxicity testing (independent recounting of sample, reference
toxicity tests, establishment of acceptable water quality measurement ranges) and data processing
(proofing or double entry/comparison programs). The specific QC procedures, frequency of performance,
and criteria for acceptance for all environmental data collection procedures are defined in SOPs or in the
project planning documents.
The immediate monitoring of QC results allows the data collection process to be continually compared to
pre-established acceptance criteria and corrected as necessary. In addition, assessment of QC results is
a critical component of the data validation process (Section 10.0) and is used to interpret the
accompanying sample data and to judge its acceptability and usefulness with regard to the project DQOs.
QC results are reported with the project data.
Within the Marine and Environmental Chemistry and Ecotoxicology and Risk Assessment Groups, control
charts have been established for selected QC analyses (i.e., inorganic and organic analytes and
reference toxicity results).
See Volumes 2 and 3 of this QAMP for specific requirements for quality control samples, quality control
criteria and control charts.
9.2 APPROVALS BY OUTSIDE AGENCIES
MSL is accredited by the states listed below. As part of the state accreditation programs, MSL
participates in several chemistry laboratory intercomparison and certification programs that require
analysis of performance evaluation samples and also participates in inter-laboratory toxicology
comparisons whenever offered. Battelle MSL also is routinely audited by its clients.
State
Florida
New Jersey
South Carolina
Washington
Wisconsin
Accreditation Organization
Department of Environmental Protection (DEP)
Department of Environmental Protection (DEP)
Department of Health and Environmental Control (DHEC)
Department of Ecology (WA DOE)
Department of Natural Resources (DNR)
Accreditation through the Navy QA Program and NELAP are in progress. In the past, MSL has
participated in the following Performance Evaluation Studies:
EPA - Water Pollution (WP) Laboratory Performance Evaluation Study
EPA - Water Supply (WS) Laboratory Performance Evaluation Study
Mercury Intercomparison Program (MIP)
International Atomic Energy Agency (IAEA) - World Wide Intercomparison for Trace Elements
National Oceanic and Atmospheric Administration (NOAA) National Status and Trends
In many cases these programs have ended (e.g., WP, MIP), and have not been replaced by new
programs. Currently PE samples are purchased from an approved vendor on the list maintained by the
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WA DOE. MSL is currently participating in the CalFed Mercury QA Program, a study to demonstrate
comparability among laboratories. Results are expected in early 2000.
9.2.1 Certifications
Certification programs are based on the demonstration of a function quality program, the existence of
planning documents and procedures, the successful analysis of external performance samples at least
twice per year, and in some cases, periodic on-site assessments. Specifics of MSL certification is
described in MSL-A-013, Laboratory Accreditation and PE Sample Analysis. MSL maintains the following
documentation to meet these requirements:
• Quality Assurance Management Plan
• Comprehensive QA Plan (for the State of Florida)
• Procedures in the following general areas (numbers of procedures)
. Quality Assurance
. Administration
. Documentation, Records, and Reports
. Organic Chemistry
. Inorganic Chemistry
. Conventional Chemistry
. Water Quality Instrumentation
. Toxicological Testing
. Facilities,
. Safety, and
. Work Practices
MSL participates in performance studies at the required frequency as per MSL procedure, MSL-A-013,
Laboratory Accreditation and Performance Evaluation Sample Analysis. Customers are provided with the
results of recent performance studies on request.
9.2.2 Performance Evaluations
MSL analysts are degreed staff operating analytical instruments on a daily basis. The dedication of
analytical staff to the specific procedures for which they are responsible, their level of training and, daily
QC assessments of proficiency through the analysis of blank samples, sample replicates, SRMs, and
MSs combine to make the results produced by MSL highly defensible, accurate, precise, and repeatable.
MSL is a specialty laboratory, providing its customers with relatively low detection limits for environmental
samples. Daily proficiency is monitored at the bench level, at the level of data assessments performed on
sample sets by the analyst and the MSL Data Coordinator (data validation), and at the level of the MSL
QA Officer who provides data quality verification. Internal PE samples may be provided as blind or
double blind samples to the analyst by a Project Manager, the Marine and Environmental Chemistry
Manager, or the MSL QA Officer. The source for internal PE samples is generally previously analyzed,
archived PE samples. Internal PE samples provide an indication of analyst proficiency and instrument
performance and are used to return serviced equipment to full operation, or to provide an instrument
check when preventive maintenance has been performed. Blind internal PE samples are also used to
test initial method/instrument proficiency when training new staff.
External PE sample results are used at MSL as an external verification of analyst proficiency and as a
means of comparison with ones peers. An "Unacceptable" data evaluation through the PE sample
program is taken seriously and the entire system is reviewed for anomalies. If an "Unacceptable" data
evaluation is obtained, various parts of the analytical process (e.g., digestion, dilution, instrument
injection) are investigated using the archived PE sample. In addition, once the results from the previous
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study are received, then that archived sample has a known certified mean and range and can be used (if
used < 6 moths from sample receipt) as an internal PE sample or a QC verification sample. Most
available external PE samples that can be purchased are aqueous. MSL participates in programs to
analyze sediment and tissue samples (e.g., NOAA Trace Metals Intercomparison) whenever offered.
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10.0 DATA REDUCTION, REPORTING, AND VALIDATION
10.1 DATA REDUCTION
Reduction of raw data shall be accomplished using established techniques. The calculations required to
perform the reduction of data may be performed manually or with the aid of automated data processing
systems. In either case, the procedures for the testing and analysis of samples or the QAPjPs will specify
the calculations and the mode for raw data processing. If manual processing is to be used for data
validation, then the procedure or QAPjP will provide the calculation method and the units for reporting
derived values. In order to reduce the potential of errors in data transcription the manual transfer of data
will be minimized. All calculations performed manually will be checked for accuracy by someone other
than the person who performed the original calculation. Data validation checks shall be documented by
the signature and date of the reviewer. Separate documentation is acceptable, provided traceable
records are maintained. For automated data reduction methods, the accuracy of calculations will be
verified through the use of standards or test case inputs with known resultant values.
10.2 REPORTS
Technical reports are the primary product produced by the MSL. To ensure the quality of the reports, two
mechanisms are used: (1) the selection of technical staff with the appropriate mix of technical and writing
skills to produce data products and reports, and (2) a formal system of review and correction.
MSL policy requires that all deliverables prepared for clients must be submitted to an internal review
before being released to the client. The document is then reviewed as per MSL-Q-002, Quality
Assurance Audits of Reports, for technical content, conformance to QA policies and procedures, and
editorial correctness.
The purpose of the technical review is to evaluate the document for technical quality (including scientific
validity and logic), conformance to client expectations, and for agreement with MSL policies. This review
is performed by a senior technical staff member selected for familiarity with the technical discipline of the
work being reported. The QA review is conducted by the QA Officer and encompasses accuracy,
completeness, adequacy of QA issues, and conformance to applicable standards, including federal
regulation (when applicable), project planning document requirements, and MSL policies. Editorial review
addresses grammatical correctness and consistency of style and format.
The reviewer's comments are communicated in writing to the author who revises the document, if
necessary. The revised document is then sent to the Technical Group Leader or designee for final
approval prior to its release.
10.3 DATA VALIDATION
Prior to their use, data must be validated. Validation is defined as the process through which data are
accepted or rejected and consists of proofing, verifying, editing, and technical reviewing activities. At the
MSL, data validation is described in MSL-D-004, Data Reporting, Reduction, Back Up, and Archiving, and
it is considered a technical function and must occur prior to the data being audited by the QA Officer
(Section 11.2).
Data validation occurs at multiple levels as data are collected and processed:
• Individuals recording data during field or laboratory operations are responsible for reviewing their
work at the end of the day to ensure that the data are complete and accurate.
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• Analysts and instrument users are responsible for monitoring the instrument operation to ensure
that instrument has been properly calibrated.
• Laboratory Supervisors and Project Managers are responsible for reviewing analytical results and
supporting documentation to assess sample holding times and conditions, equipment calibration,
and sample integrity. As an additional measure of acceptability, the results of QC samples are
compared to the project DQOs.
• Technical staff are responsible for reviewing the data for scientific reasonableness.
• All manual entries into databases and spreadsheets are verified, either through proofing or by
double entry/comparison programs.
• All calculations performed by hand are checked for accuracy.
Data that do not meet the pre-established criteria for acceptance may be flagged, not reported, or
reported with an explanation of the limitations, at the discretion of the Project Manager.
10.4 MSL DATA AUDIT PROCESS
The MSL data audit process is primarily a data verification activity that is described in MSL-Q-005, Quality
Assurance Data Audits. However, verification of validation activities also occurs. Complete data
packages including all kit information, hard copies of instrument outputs, and summary data sheets are
provided to the MSL QA Officer or designee for review. Analytical data packages are reviewed to a
checklist. Project notebooks, because of their variability, are not reviewed to a checklist. However, the
review process is essentially the same. Data are reviewed to ensure that the data are accurate,
traceable, defensible, and complete, as compared to the planning documents and/or project
requirements. The audit procedure is a randomized check that involves comparing selected reported
values to the original data. This check can either be performed randomly or on a statistical basis. Results
of the data audit are documented either on the checklist from MSL-Q-005 or in a summary statement.
Concerns that can be corrected will be corrected before the data are released. Deviations are required to
be summarized and provided to the customer.
10.5 CONFIDENTIALITY
MSL policy does not allow the release of customer data or project-related information to anyone except
the customer unless expressly directed by the customer or an authorized representative.
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11.0 VERIFICATION ACTIVITIES
One of the policies of the MSL is to assure that the products generated, and the services performed by
the MSL meet the standards established by Battelle and its clients. The Self Assessment Program (SAP)
is the MSL's performance measurement system. The SAP
provides MSL staff and management accurate technical, business and operational performance
information that promotes early identification and resolution of problems that may impact
achievement of the MSL critical outcomes and objectives
verifies conformance to established requirements
verifies effective conduct of activities to protect the environment and the health and safety of workers
and the public
contributes to ongoing improvement in performance.
The first process of the performance measurement system is determining the MSL's critical outcomes and
performance objectives and indicators. The MSL's critical outcomes and associated performance
objectives and indicators are established by PNNL's Environmental Technology Division (ETD) and MSL
staff on an annual basis. The key performance objectives and indicators resulting from this process drive
the development of self assessment plans.
The second process of the performance measurement system is developing and implementing an
assessment plan. The MSL develops an annual assessment plan as part of ETD's self assessment
program. The assessment plan describes the assessment activities that the MSL performs to ensure that
plans and controls are in place to achieve its objectives.
The third process of the performance measurement system is the overall evaluation of the MSL's
performance and is described in section 11.1. The primary mechanism for evaluating this performance
measurement system is assessment activities. Assessment activities refer to the verification of
conformance to the MSL's SAP and include line management assessments, QA assessments, and data
audits. During a QA assessment or data audit, the agreement between data and data quality objectives
or indicators with QA policy documents (e.g., QAMP, SOPs, project planning documents) is evaluated,
deficiencies are identified, and corrective action is taken.
The final step in the performance measurement system is to implement the key improvement
opportunities that the evaluation processes identified (See Section 12). Improvement areas requiring
action are implemented as determined by the MSL Manager, Technical Group Leader and/or QA Officer.
11.1 ASSESSMENTS
As part of the MSL SAP, assessments are performed in accordance with the SBMS subject area,
Conducting and Using Results From Operational Assessments, by staff and line management to evaluate
the performance of the MSL. Assessment methods include, but are not limited to, walkthroughs,
procedure and program reviews, staff feedback, and safety, health, and environmental evaluations.
In addition, the QA Officer conducts QA assessments to assess that facilities, equipment, personnel,
methods, practices, records and quality control are in conformance to approved planning documents,
procedures, regulations, client requirements and Battelle policy. QA assessments are scheduled based
on a request from the MSL Laboratory Manager, the definition of critical phase inspections by project
managers or MSL customers, and by scheduling by the MSL QA Officer when a new procedure is
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implemented or significantly revised, when a new study type is initiated, or when data quality reviews
indicate technical systems problems. At least 25 assessments per annum are the target. External
assessments of suppliers are conducted through the Battelle Quality Process Division in Richland, WA
and are related to qualifying preferred suppliers.
QA assessments are formal or informal verification activities that are performed in accordance with
procedure MSL-Q-002, Quality Assurance Inspections ofMSL System and Study Activities and subject
area, Conducting and Using Results From Operational Assessments. The purpose of a formal QA
assessment is to determine verification with a requirement and includes formal corrective action and
follow-up. If the assessment is determined to be informal, the purpose is to determine the status and to
report the factual evidence and is not intended to be a verification activity with formal corrective action
response, follow-up, etc. Informal assessments are generally requested by MSL management to assess
the status of a particular activity.
A schedule of all QA assessments, which are not part of the MSL's self assessment plan, will be
completed by the QA Officer and, as needed, issued quarterly to the MSL Manager and the Technical
Group Leaders. This schedule will include verifications based on client needs, management requests
and routine internal verifications (i.e., checking standards logs, sample preparation forms, QC checklists,
equipment calibration and maintenance, etc.).
11.2 DATA AUDITS
MSL policy requires that all environmental measurement data produced by the Technical Groups must be
audited prior to their final release. The reported data are audited, using a process that ensures that the
data are complete, accurate, traceable, and defensible. Details of the data auditing process is
documented in SOP MSL-Q-005, Quality Assurance Data Audits.
11.3 QA REPORTS TO MANAGEMENT
Upon completion of the QA assessment activity, the QA Officer prepares a written report that specifies the
basis of the assessment activity, identifies the type of assessment activity and phase covered, and
summarizes the results of the assessment activity. The report is signed and dated by the QA Officer and
forwarded to the appropriate manager, who reviews assessment results and determines corrective action.
Each deficiency must be addressed in writing. The Project Manager (when appropriate) and the
Technical Group Leader then sign and date the report and return it to the QA Officer for verification of the
responses.
Quarterly, the QA Officer will submit to the Technical Group Leaders and the MSL Manager a summary of
the past quarters QA activities. Subjects to be covered in the quarterly QA report as addressed in MSL-
Q-008, QA Reports to MSL Management, and shall include, but not be limited to, results of assessment
activities, results of performance evaluation samples, trends of deficiencies, and other important QA-
related issues.
11.4 CORRECTIVE ACTION
Typical corrective actions for exceeding the project-specified DQOs for chemistry analyses and bioassay
and aquatic toxicology tests are summarized in Section 5 of volumes 2 and 3 of this document. This topic
is also addressed in Section 12 below. In addition, individual analytical procedures may contain
appropriate corrective actions for various routine problems. MSL procedure MSL-A-005, Deviations from
Established Requirements, addresses an approach to differentiate between acceptable deviations that
will be reported to the client and formal deviations requiring a greater level of investigation to determine
the root cause, documentation and verification of corrective action implementation and the effectiveness
of
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actions designed to prevent recurrence. Deviations may be found during routine data validation or
verification activities, during an assessment or identified by any project participant. In most cases, the
MSL QA Officer and the Project Manager have the primary responsibility for evaluating the impact of the
deviation on data quality, and defining required corrective actions. In some cases the client may also be
involved in this assessment. Deviations and deficiencies and the assigned corrective actions are
documented on a Quality Problem Report (QPR, referto Exhibit 12.1 in the following chapter). It is the
Project Manager's responsibility to ensure completion of the identified corrective action by the expected
completion date, and to request independent verification (when required).
When there has been an impact on data, the Project Manager shall assure that there is a cross reference
in the raw data that indicates there is an associated QPR (i.e., referto the QPR on each of the impacted
data sheets, in the laboratory record book, and in any other documents used to transcribe the information
or data).
Once a quarter, the MSL QA Representative shall present to MSL Management a summary of all QPRs,
any significant control limit data deficiencies, and an analysis of trends or recurring deficiencies as part of
the quarterly QA Report to Management.
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12.0 QUALITY IMPROVEMENT
Quality improvement is a critical aspect of the MSL Self Assessment Program and involves both
corrective action to identified deviations and continuous improvement processes.
The corrective action process involves determining, implementing, approving, and verifying the
appropriate remedial action. Corrective actions may be identified by technical personnel during the
course of work performance, or may be in response to assessment activities.
The continuous improvement process involves determining and prioritizing improvement areas,
implementing improvement action and documenting the disposition of each action.
12.1 DEVIATIONS
Each individual engaged in project activities should be alert to problems, deviations from approved
procedures, out-of-control events, or other issues that may require corrective action. The appropriate
response is determined by the event. SOP MSL-A-005, Deviations from Established Requirements
provides methods for addressing deviations from MSL procedures, planning documents, and client
requirements.
Briefly, deviations are identified either as observations or quality problems as follows.
Observations are defined as incidences that require action or correction but are not considered
ongoing, operational problems.
Quality Problems are defined as situations where the quality and usability of data, a process, or item
are indeterminate (i.e., no objective evidence is available to substantiate data quality or to indicate that
established procedures/requirements were met). Quality problems can be (1) repeated incidences of
an observation, (2) repeated errors due to a flaw in the data generation or validation process, or (3)
assessment issues that require a change in laboratory procedures or processes.
It is MSL policy that all issues that may impact the quality of the data must be documented. The
documentation must clearly state the event and the corrective action taken in response, and must be
approved by the appropriate management representative. Acceptance of data that exceeds pre-
established criteria also must be documented and justified.
Depending on the severity of the deviation, the MSL QA Officer and the Project Manager will determine
how the deviation will be documented (i.e., through use of a Quality Problem Report form (Exhibit 12.1)
per MSL-A-005, Deviations from Established Requirements. The MSL QA Officer and the Project
Manager will determine if there is a formal deviation when one or more control limits are exceeded in a
data set. In some cases, the customer may be involved in these discussions. Deviations from project
control limits will be identified in the narrative accompanying the data set or package or in a letter to the
customer, and the impact of the deviation addressed. The following are guidelines to resolving
deviations:
• All deviations from approved procedures, project planning documents or this QAMP will be
documented.
• Issues that affect cost, schedule, or performance of the project will be reported to the Project
Manager. The Project Manager will then be responsible for evaluating the overall impact to the
project and implementing the necessary corrective actions.
• Deficiencies identified through QA assessment activities will be brought to the attention of the
Project Manager and the Technical Group Leader. Implementation of corrective action will be the
responsibility of the Project Manager.
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• See Section 5 of Volumes 2 and 3 of this QAMP for additional information regarding corrective
action of identified deviations.
12.2 ASSESSMENT ACTIVITIES
For all assessment activities, a system of notification and verification of corrective action is in place. An
assessment report is prepared and submitted to the appropriate Manager (Project Manager or Technical
Group Leader). The Manager reviews the assessment results to determine overall impact and risk and
then determines corrective action and prioritizes the actions. The Manager assigns the corrective actions
to individuals. The Managers ensures that the corrective action is tracked to completion and as part of
completion, documentation is included that describes the justification for completion of the corrective
action. Issues that in the manager's judgement require significant corrective action should be scheduled
for verification of that corrective action at a subsequent assessment.
Issues that in the manager's judgement require process improvement instead of, or in addition to,
corrective action, are identified as such and any improvement actions are implemented and documented.
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EXHIBIT 12.1 Quality Problem Report Form
Originator: Date: QPR Number:
Project Number:
_ . _ _
Project Title:
Purchase Order Number/SOP/Work Plan:
10CFR830. 120 Related? Yes or No
Statement of the Deviation
Impact of the Deviation
Steps to Prevent Inadvertent Use of the Item or Process
Cause of Events Leading to the Problem
Planned Corrective Action for the Immediate Problem/Independent Verification Required? Yes or No
Planned Corrective Action to Prevent Recurrence/Independent Verification Required? Yes or No
Person Responsible for the Corrective Action
Last Name, First, MI
Approval of Planned Corrective Action
Cognizant Manager or Designee
Closing the Problem
Actions Completed as Planned
Name Date
Independent Verification Has Been Completed (if
required)
MSL QA Representative Date
Intermediate Distribution:
Final Distribution:
MSL QA Office
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APPENDIX A
List of Acronyms
ANWAP Arctic Nuclear Waste Assessment Project
APDC Ammonium pyrrolidinedithiocarbamate
AVS Acid Volatile Sulfide
CCV Continuing Calibration Verification
CFR Code of Federal Regulations
CHP Certified Health Physicist
CMS Chemical Management System
CoC Chain of Custody
CREM Coastal Resource and Ecosystem Administrative Management
CRM Certified Reference Material
DEP Department of Environmental Protection
DHEC Department of Health and Environmental Control
DO Dissolved Oxygen
DOE Department of Energy
DNR Department of Natural Resources
DQO Data Quality Objective
ECD Electron-capture Detector
EPA Environmental Protection Agency
ES&H Environment, Safety, and Health
EPRI Electric Power Research Institute
FDA Food and Drug Administration
FID Flame-ionization Detector
FIFRA Federal Insecticide, Fungicide, and Rodenticide Act
FPD Flame Photometric Detector
GC Gas Chromatography
GFAA Graphite Furnace Atomic Absorption
GPM Gallons Per Minute
GLP Good Laboratory Practices
HMC Hazardous Materials Coordinator
HPLC High-Performance Liquid Chromatography
HVAC Heating Ventilation and Cooling System
IAEA International Atomic Energy Agency
ICP-AES Inductively Coupled Plasma - Atomic Emissions Spectrometry
ICP-MS Inductively Coupled Plasma (Emissions) - Mass Spectrometry
ICV Initial Calibration Verification
ID Identification
MDL
Method Detection Limit
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APPENDIX A
List of Acronyms
MIP Mercury Intercomparison Program
MS Mass Spectroscopy
MSL Marine Science Laboratory
NAUI National Association of Underwater Instructors Technical Diving International
NBS National Bureau of Standards
NELAP National Environmental Laboratory Accreditation Program
NIST National Institute of Standards and Technology
NOAA National Oceanic and Atmospheric Administration
NPDES National Pollutant Discharge Elimination System
NRCC National Research Council of Canada
PAH Polycyclic Aromatic Hydrocarbon
PCB Polychlorinated Biphenyls
PNNL Pacific Northwest National Laboratory
PSEP Puget Sound Estuary Program
PVC Polyvinyl Chloride
QA Quality Assurance
QAMP Quality Assurance Management Plan
QAMS Quality Assurance Management Staff
QAPjP Quality Assurance Project Plan
QC Quality Control
QPR Quality Problem Report
REM Registered Environmental Manager
RPD Relative Percent Difference
RSD Relative Standard Deviation
RSO Radiation Safety Officer
SBMS Standards Based Management System
SEM Simultaneously Extracted Metals
SESP Surface Environmental Surveillance Project
SIC Sample Inventory Coordinator
SOP Standard Operating Procedures
SOW Statement of Work
SRM Standard Reference Material
T Temperature
TBT Tributyl Tin
TDI Technical Diving International
TSCA Toxic Substances Control Act
UV
VIS
Ultraviolet (light)
Visible (light)
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WA DOE State of Washington, Department of Ecology
WHP World Hydrographic Global Measurement Program
WIPP Waste Isolation Pilot Plant
WP Water Pollution
WS Water Supply
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APPENDIX B
BATTELLE MSL PERSONNEL
The following is a list of MSL personnel and a summary of their current position, and length of
relevant experience. Educational background and work experience are documented on the
Qualification and Training form which is a part of each person's training file.
Mr. Liam Antrim, has over 21 years experience in environmental science. He has worked
on a variety of aquatic toxicity projects, focusing on acute and chronic toxicity testing of
industrial effluents, the effects of contaminants in near-shore and urban sediments on marine
and freshwater organisms, and collection and toxicity testing of the sea-surface microlayer. He
has participated in numerous sample collection projects in Puget Sound, the Gulf Stream,
Chesapeake Bay, and southern California for federal and industrial clients. Mr. Antrim is
currently the MSL Dive Officer.
Mr. Chuck Apts has been working on trace metal research at MSL for more than 29
years, contributing to studies involving the bioavailability of trace metals in marine ecosystems
and effects of trace metals in the sea-surface microlayer. He has managed numerous projects
in the field of metal analysis, ranging from sedimentary samples from the Beaufort Sea prior to
oil-well drilling to the determination of the effects of dredging around Oakland Harbor, CA.
Through his work on these studies, Mr. Apts has gained considerable experience in field
sampling and trace metal analytical techniques using ICP/MS.
Ms. Blythe Barbo is the MSL Marketing Information Specialist. She has nearly 9 years
experience at the MSL. Some of her duties include proposal coordination and production,
marketing materials development, capability information organization, business intelligence
tracking, database research, information distribution services, media and public relations, and
market and proposal communications.
Mr. Michael Blanton specializes in the areas of water quality and ecotoxicology. Other
areas of expertise include strategic planning, experimental design, and ecological
surveys/evaluations. Mr. Blanton participated in the Columbia River Comprehensive Impact
Assessment, which modeled fate and exposure of contaminants to various trophic levels in the
ecosystem and to humans; he has also participated in environmental exposure and risk analysis
programs for the Surface Environmental Surveillance Project (SESP), Hanford, Washington. He
recently investigated the potential injury to fall Chinook salmon from exposure to chromium
releases to the Columbia River and the development of an Information Management System to
aid in ESA compliance under FIFRA for new agricultural chemical product registration. He is
currently the project manager for an Evaluation of the Environmental Effects of Synthetic -
Based Drilling Fluids on Coastal and Marine Waters. Mr. Blanton has 7 years of experience at
Battelle Richland and joined MSL in October 1999.
Ms. Susan Blanton joined MSL in October 1999. She previously supported the Pacific
Northwest National Laboratory for 6 years as a Science & Engineering Associate II in the
Ecology Group within Environmental Technology Division. Her research has focused on
diverse salmonid issues in the Columbia and Snake River Basins. She has evaluated fish
screening facilities in the Yakima River Basin, supported hydroacoustic fish passage research
efforts at Snake and Columbia River hydroelectric projects, studied the effects of gas
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supersaturated water on salmonids, contributed to preparation of environmental impact
statements, and conducted teacher workshops on numerous aspects of aquatic ecology.
Ms. Elisabeth Smolski Barrows has over 22 years experience working environmental
science encompassing project management, analytical organic and inorganic chemistry, marine
and freshwater toxicity testing, and field work. She is currently involved with the environmental
assessment of dredged material disposal options in New York. She is currently managing
projects for the U.S. Army Corps of Engineers. Ms. Barrows has been with Battelle for 15
years, with 9 of those years at MSL.
Dr. Peter Becker, is a physical oceanographer who specialized in the description,
analysis, and modeling of physical processes in freshwater distribution and transport in the
Arctic Ocean. He is currently a post-doctoral research associate at the MSL, working on the
Arctic Nuclear Waste Assessment Project (ANWAP) for the Office of Naval Research. During
his position as oceanographic consultant at the University of Washington, from 1974 to 1989,
his duties included head oceanographer on over 35 field projects.
Ms. Linda Bingler, marine chemist, has been at MSL for 9 years and serves as a project
manager and provides support for sample digestion, distillation, and extraction. She has
researched the effective removal of contaminants by thermal and hydrocyclone processing. As
part of the World Hydrographic Global Measurement Program (WHP), she managed Battelle's
portion of a 60-day cruise from Dutch Harbor to New Caledonia to collect CTD and high-
accuracy measurements of anthropogenic and natural tracers. Ms. Bingler has taken shipboard
measurements of TCO2 in seawater using the SOMMA/coulometric system and participated in
World Ocean Circulation Experiment cruises as part of the WHP global measurement program.
Ms. Bingler has also researched rare earth element nutrient complexation in seawater,
determination of formation constants for metal-nutrient complexation, and phytoplankton uptake
of rare earth elements over time.
Ms. Amy Borde has been with the MSL since 1995. Her research has focused on
wetland ecology, specifically marine habitat assessment and restoration. She has conducted
reviews of wetland ecology and policy issues for EPA, contributed to long-term studies of habitat
change in PNW estuaries, supported eelgrass restoration efforts in Puget Sound, provided GIS
support for numerous studies, and has acted as a teachers assistant for wetland ecology and
restoration classes.
Ms. Deborah Coffey is the MSL QA Officer and ES&H Representative. She has more
than 16 years of quality assurance experience supporting U.S. EPA and NQA-1 QA Programs
at the Corvallis Environmental Research Laboratory, and at Sandia National Laboratories
supporting the Waste Isolation Pilot Plant (WIPP) program. She joined Battelle in September
1999. She is responsible for overseeing all QA/QC aspects of the MSL's project performance,
such as developing QA planning documents, assessing and improving processes, ensuring that
all protocols are followed, and that data are accurately presented. She is an NQA-certified and
Lead Auditor and routinely conducts internal QA assessments to verify procedural compliance
and data acceptability. Ms. Coffey reports to the Process Quality Department of the Battelle
Quality Division and is therefore, independent of MSL.
Dr. Eric Crecelius, the Technical Group Manager of the Marine and Environmental
Chemistry Group, has over 20 years of experience in freshwater and marine geochemistry
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studies with an emphasis on concentrations, fates, and effects of trace metals. Dr. Crecelius is
internationally recognized in the field of marine pollution and trace metal chemistry. He is
frequently an invited participant or session chairman for workshops or scientific meetings that
deal with arsenic speciation, marine monitoring, and the fate of contaminants in coastal waters.
Dr. Val Cullinan, specializes in the statistical design, analysis, and interpretation of results
from multidisciplinary experimental research. Her research has addressed marine resources,
as well as agricultural systems, terrestrial and aquatic ecosystems. She specializes in
developing statistically efficient sampling designs to detect ecological change at landscape
levels of spatial heterogeneity.
Ms, Mary Ann Deuth, is a technical specialist responsible for ongoing analyses for trace
amounts of mercury in tissue, sediment, and water. She has been at the MSL for 5 years and
she is currently developing proficiency with new mercury analyzers.
Ms. Ann Skillman Drum, has 20 years experience conducting research on biological
mechanisms of marine invertebrates and fist infectious diseases and cancer, environmental
pathology and toxicology, parasitology, and aquatic animal health management, disease
diagnosis and prevention. Her areas of specialization include health management of salmon
and invertebrates, relationship of animal health to resource management, development of new
aquaculture techniques and aquatic animal drug registration studies conducting under GLP.
Mr. Richard Ecker returned to MSL in March 1999 to serve as the MSL Manager. He is
the Associate Director of (CREM) Coastal Resource and Ecosystem Administrative
Management, a joint venture of Battelle Duxbury and the MSL. He is also a Battelle Product
Line Manager for the Resource and Ecosystem Management Product Line, which is dedicated
to finding solutions to complex environmental issues. Prior to his current position as Product
Line Manager, he was the Department Manager of the Water and Land Resources Department
and Product Line in the Environmental Technology Division managing a department of over 180
staff. He also previously managed the Battelle Marine Sciences Laboratory for 6 years. Dick
started with Battelle in 1978 and has been involved in all aspects of the business; business
development and marketing, deployment of technology, technical research and line
management. Before his career with Battelle, Dick served with the Army Corps of Engineers,
San Francisco District where he directed environmental projects.
Mr. Paul Farley, is responsible for high resolution acoustic survey and precision seafloor
mapping programs. He has formal training and more than 20 years of experience in side scan
sonar operations, high resolution seismic data acquisition, interpretation and bathymetric
survey, and satellite and microwave navigation systems. He also supervises the
electronics/instrumentation shop where duties include trouble-shooting and repair of various
analog and digital instrumentation and to design and construct various equipment as needed.
Mr. Tim Fortman is a technical specialist in organic chemistry who has participated in a
variety of environmental pollution monitoring projects such as NOAA's status and trends, the
Exxon Oil Spill Herring study, and the EPA's Great Lakes assessment program. He also has
worked on all aspects of trace metal and organic contaminant analysis, and set up an
automated gel permeation chromatography system used as an advanced cleanup of organic
environmental analysis. In addition, he trains and supervises several technicians. Mr. Fortman
is the MSL Acid Neutralization Drum Custodian and has been at MSL for 14 years.
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Mr. Brian Gruendell's expertise is in biologic oceanography. His recent research has
focused on bioaccumulation and toxicity testing using amphipods and bivalve larvae, dredged
material evaluation, and field sampling efforts for private and Federal agencies. He also serves
as the MSL Hazardous Materials Coordinator (HMC).
Mr. Tom Hausmann recently joined the staff of MSL after 2 years as a Bioremediation
Research Assistant Fellow at MSL under the Associated Washington Universities program. He
is completing his thesis in Environmental Engineering and he will be providing support for
GC/MS analyses for the Marine and Environmental Chemistry Group. Mr. Hausmann is a QA
Representative who is trained to perform data reviews.
Mr. Lyle Hibler specializes in studies of contaminant transport in rivers, estuaries, the
open ocean, and groundwater. He has developed and applied numerical computer models and
processing codes, and has been involved in the statistical and uncertainty analysis associated
with numerical algorithms used by these types of models.
Dr. Michael Huesemann, is involved in bioremediation research and project
management. His areas of specialization are hazardous waste soil and groundwater
bioremediation, including field applications of composting, bioventing, and air-sparging
technologies.
Ms. Lara Johnson joined MSL in December of 1999 as a Scientist Engineer Associate
I. For the prior 7 months she has supported MSL toxicity tests of marine sediments as an intern
through the Associated Western Universities (AWU) program. During her internship she was
involved in numerous bioassay and bioaccumulation tests on sediments from various parts of
the world. Her experience is shared between technical laboratory skills, data processing, and
data analysis. Ms. Johnson is currently working closely with project managers on the same type
of testing activities.
Ms. Rhonda Karls, a laboratory supervisor in the toxicology testing laboratory, is
responsible for preparation of the laboratory for testing, maintaining water quality instruments,
ordering supplies, animal care and maintenance of test organisms, and the conduction of the
actual test.
Ms. Nancy Kohn, research scientist, has experience in conducting sediment evaluation
studies for the U.S. Army Corps of Engineers and other clients. She has participated in
laboratory bioassays and has served in a project management role with the responsibility for
planning and leading field sampling efforts and for coordinating sample preparation tasks and
laboratory testing schedules. Her recent research has concentrated on understanding the
effects of ammonia to benthic organisms, primarily amphipods, under varying environmental
conditions.
Ms. Brenda Lasorsa, senior research scientist, supervises the mercury analytical
laboratory. She has helped develop methods for total and methyl mercury analysis by cold-
vapor atomic fluorescence; sulfide analysis using gas chromatographic techniques, and an acid
volatile sulfides analysis system. Ms. Lasosa has been at the MSL for 10 years.
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Ms. Mary McGahan, a technician in the Marine and Environmental Chemistry Group, has
over 15 years of experience. Her experience includes sample log in and performing preparation
and analysis of tissue, water and soil samples.
Ms. Laurie Niewolny, research scientist, is experienced at identifying algae, zooplankton,
aquatic insects, and fish and organizing and completing field data collection of water, sediment,
and biota. She is also proficient in most laboratory procedures for standard chemical and
toxicological water and sediment quality analyses and maintains laboratory records, equipment,
chemical solutions, food supplies, water supply, and test organism cultures. Ms. Niewolny has
been at the MSL for 4 years, and within the last year supports mercury lab analyses. She is a
QA Representative who is trained to perform data reviews.
Mr. James Nimmo is the Manager for Facilities and Operations; he has over 30 years
experience in facility operations, and facility and building management. Mr. Nimmo has been at
MSL since 1967 and has served as the Project Manager and/or field engineer representative on
most MSL construction projects. He has a background in electronics, specializing in airborne
radar, navigation, and weapons systems. Mr. Nimmo was previously an electronic and
pneumatic instrument specialist for nuclear facilities. He has numerous course completion
certificates in environmental engineering, air and hydronic balancing, property conservation
(relative to fire and flood construction practices and natural disasters), pneumatic control
systems for building heating, ventilation and cooling (HVAC), steam systems, crane-hoist
rigging techniques, and safety including national SCUBA certification and boat operation.
Ms. Peg O'Neill, technical specialist, is experienced in the operation of inorganic analytical
equipment including atomic absorption and ICP/MS. She is also proficient in distillation and
acid digestion (hot plate, water bath, and microwave) sample preparation techniques.
Ms. Meg Pinza, research scientist, has a background in aquatic toxicology. She is
currently involved in field sampling and sediment evaluation studies conducted for several
district offices of the U.S. Army Corps of Engineers. She has also conducted bioassays on pulp
mill effluents to determine effluent quality and compliance with discharge permit standards, and
is currently part of the team developing biotechnology for remediation of contaminants in various
matrices.
Ms. Jeni Franklin Ross is the point of contact for shipping and receiving and in this role,
assigns bar codes for chemical solutions to implement the Chemical Management System
(CMS). She has 7 years of experience at MSL and supports travel, accounts payable, and
security through the badging process.
Mr. Jan Slater is the Manager for Business Administration. He has been at MSL for 3
years. Prior to that he supported the Pacific Northwest National Laboratory for 7 years as
Manager and Sr. Technical Team Lead in various US Department of Energy Programs including
the privatization of the Tank Waste Remediation Systems, the Tritium Target Qualification
Program, ADPE Procurement, the Global Studies Program, and the Environmental
Management Operations. Prior to coming to PNNL, he worked as Bonneville Power
Administration as a Sr. Contract and Financial Specialist.
Mr. John Southard, joined MSL in December 1999. He is part of the MSL Dive Team and
has been certified since 1993. He is an active SCUBA instructor with National Association of
Underwater Instructors (NAUI) and Technical Diving International (TDI). He is familiar with
underwater survey activities and has used lines, quadrats, and linear count methods, and has
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experience with underwater species identification. Mr. Southard is a collection diver for the
State of WA and the Arthur Feiro Marine Laboratory in Port Angeles, WA.
Ms. Karen Steinmaus has 15 years experience in remote sensing and image processing
for both environmental and national security applications. From 1983-1987, Karen worked for
the Defense Mapping Agency (currently NIMA) in NTM Image Exploitation. At the Pacific
Northwest National Laboratory, Karen has focused on the development and application of
remote sensing and geographic information system (GIS) technologies for a very wide variety of
government and commercial clients. Throughout her career, Karen has emphasized
multidisciplinary problem solving, and multisensor data fusion and integration. Karen has
contributed to, managed, and developed business for basic, applied, and technology transfer
R&D projects, resulting in a very unique opportunity to understand client needs, technology
gaps, and future trends in the areas of hyperspectral/multi-spectral image exploitation and
multisensor data fusion. Karen holds DOE, DOD and SCI clearances.
Mr. Monte Sula is a Registered Environmental Manager (REM) and a certified Health
Physicist (CHP). As the MSL environmental engineer he is in charge of Environmental Waste
Operations at MSL. He is also the MSL Radiation Safety Officer (RSO). Mr. Sula has been at
MSL for 7 years, and at the Pacific Northwest National Laboratory for the past 20 years. He is
responsible for all activities associated with liquid and airborne discharges at the MSL and for
work conducted under the laboratory's radioactive materials license.
Ms. Carolyn Suslick is the Data Coordinator for the Marine Chemistry and Ocean
Processes Group and the Sample Inventory Coordinator (SIC). She is the custodian of and
manages the chemistry data central filing system. She creates and formats data tables and
control charts from raw data, tracks data for projects, and assists Program Managers in
preparing and editing reports.
Dr. Ronald Thorn, a senior research scientist, has 21 years of professional experience as
an algologist, wetlands ecologist, toxicologist and fisheries biologist. Dr. Thorn specializes in
environmental impacts of navigation and marina dredging and dredged material disposal;
habitat construction and restoration of marine and estuarine systems; and ecology of fisheries
resources in nearshore systems. He also serves as the Technical Group Manager for the
Marine Ecological Processes Group.
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Dr. Susan Thomas, senior research scientist, is part of the biotechnology team in
remediation research that is using fungal organisms for the degradation and removal of
contaminants from natural matrices. She has worked in environment assessment and reporting
and as environmental impact statement coordinator. She also has laboratory experience in
radiation biology, olfactory/taste chemistry, and human DMA synthesis and repair.
Mr. Jeffrey Ward, senior research scientist, has over 15 years experience in
environmental studies. He provides management and technical expertise for projects involving
toxicity testing, dredged sediment evaluations, analyses of benthic community structure, and
environmental impact assessments. He has coordinated and participated in numerous field
sampling efforts, and is experienced in a variety of field sampling procedures. Mr. Ward is
currently the Technical Group manager for the Toxicology and Risk Assessment Group.
Dr. Dana Woodruff currently conducts research in benthic habitat mapping using side-
scan sonar and underwater video. Her background is in remote sensing of coastal and
estuarine waters, specializing in optical water quality modeling, in-situ spectral characterization,
and remote estimation of water clarity using satellite imagery. She received her Ph.D. in 1996
from the University of North Carolina, where she developed algorithms to predict turbidity in
Pamlico Sound, NC, using satellite imagery. Dr. Woodruff recently completed a National
Research Council Research Associateship with the National Marine Fisheries Service and has
also served as the Southeast Regional Manager for NOAA's CoastWatch Program. Her
previous marine research experience has included primary productivity studies from coastal
North Carolina to the Sargasso Sea, sewage pollution assessments of coastal sediments using
bacterial indicators, king and tanner crab feeding ecology studies in the Bering Sea, and
behavioral research on fish and crustaceans relative to oil contamination. Dr. Woodruff was at
MSL from 1976 to 1988, when she left to resume her studies. She returned in 1998, and has a
total of 13 years at MSL.
Ms. Jordana Wood has been at MSL for 1 year. She supports analyses using the ICP-
AES; GFAA; and FIAS for selenium, mercury, and arsenic. Prior to her position at MSL, she
was a Supervisor at Battelle Duxbury for ICP-AES and GFAA analyses. She has 4 years of
experience as a Supervisor at the EPA's laboratory facilities in Las Vegas, NV and 3 years
experience at ICF Kaiser for the same set of analyses.
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APPENDIX C
BATTELLE MSL STANDARD OPERATING PROCEDURES
QUALITY ASSURANCE
MSL-Q-001 Maintaining the Master Schedule Sheet
MSL-Q-002 Quality Assurance Inspections of MSL System and Study Activities
MSL-Q-003 Quality Assurance Audits of Reports
MSL-Q-004 Quality of Testing Water and Feed
MSL-Q-005 Quality Assurance Data Audits
MSL-Q-006 Procedures for Control Charting
MSL-Q-007 Procedure for Determining Method Detection Limits
MSL-Q-008 QA Reports to Management
MSL-Q-009 Method Development, Validation, and Implementation
ADMINISTRATION
MSL-A-001 Sample Log-In Procedure
MSL-A-002 Sample Chain of Custody
MSL-A-003 Guidelines for SOP Format and Control
MSL-A-004 Guidelines for Protocol Preparation and Assignment of Study Numbers
MSL-A-005 Deviations From Established Requirements
MSL-A-006 Marine Sciences Laboratory Training
MSL-A-008 Control of Reagents/Solutions, Test/Control Articles and Specimens
MSL-A-009 GLP Study Initiation Requirements
MSL-A-010 Document Control
MSL-A-011 MSL Access Control
MSL-A-012 Procurement
MSL-A-013 Laboratory Accreditation and PE Sample Analysis
MSL-A-014 Sample Container Requests
DOCUMENTATION, RECORDS, REPORTS
MSL-D-001 Recording Data on Data Sheets and Laboratory Notebooks
MSL-D-002 GLP Records Management
MSL-D-003 Archiving of Records, Data and Retired SOPs
MSL-D-004 Data Reporting, Reduction, Back Up, and Archiving
ORGANIC CHEMISTRY
MSL-O-001 Butyltin in Sediments and Tissues
MSL-O-002 Butyltin in Water
MSL-O-003 Identification and Quantification of Polynuclear Aromatic Hydrocarbons by Gas
Chromatography/Mass Spectrometry
MSL-O-004 Analysis of Polychlorinated Biphenyls and Chlorinated Pesticides by Gas
Chromatography with Electron Capture Detection
MSL-O-005 Stock and Standard Solution Preparation
MSL-O-006 HPLC Cleanup of Sediment and Tissue Extracts for Semivolatile Pollutants
MSL-O-007 Determination of Lipid Content in Tissues
MSL-O-008 Operation and Maintenance of Gas Chromatographs (GC) and Gas
Chromatograph/Mass Spectrometer (GC/MS) Systems
MSL-O-009 Extraction and Clean-up of Sediments and Tissues for Semivolatile Organics following
the Surrogate Internal Standard Method
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Battelle Marine Sciences Laboratory Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 1 Page 2 of 4
MSL-O-010 Extraction and Clean-up of Water for Semivolatile Organics following the Surrogate
Internal Standard Method
MSL-O-011 HOC Sampling Media Preparation and Handling; XAD-2 Resin and GF/F Filters
MSL-O-012 Extraction and Cleanup of Resin Cartridges for Polychlorinated Biphenyls and Trans-
Nonachlor
MSL-O-013 Extraction and Cleanup of Glass Fiber Filters for Polychlorinated Biphenyls and Trans-
Nonachlor
MSL-O-014 PCB Congener Analysis of XAD Resins and GFF Filters Using GC/ECD
MSL-O-015 Identification and Quantification of Polynuclear Aromatic Hydrocarbons by Gas
Chromatography/Mass Spectrometry Following EPA Method 8270B Quality Control
Criteria
MSL-O-016 Analysis of Polychlorinated Biphenyls and Chlorinated Pesticides by Gas
Chromatography with Electron Capture Detection Following EPA Method 8080A Quality
Control Criteria
INORGANIC CHEMISTRY
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
Spectrometry
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
MSL-
•001 APDC Extraction for Trace Metals in Water
•003 TAMU Sediment and Tissue Digestion
•004 Sediment Evaporation Digestion
•005 Hot Nitric Acid Digestion of Sediments and Tissues
•006 Mixed Acid Sediment Digestion
•007 Nitric Acid and Hydrogen Peroxide Tissue and Sediment Digestion
•011 Total Mercury in Solids by CVAF
•012 Easily Reducible Mercury in Water by CVAF
•013 Total Mercury in Aqueous Samples by CVAF
•014 Methylmercury in Aqueous Samples by CVAF
•015 Methylmercury in Tissues and Sediments by CVAF
•016 Total Mercury in Tissues and Sediment by CVAA
•019 Determination of Trace Elements in Water by Stabilized Temperature GFAA
•020 Trace Elements in Sediment and Tissues by GFAA
•021 Arsenic Speciation in Aqueous Samples
•022 Determination of Elements in Aqueous and Digestate Samples by ICP/MS
•023 Selenium Speciation in Aqueous Samples
•024 Mixed Acid Tissue Digestion
•025 Methods of Sample Preconcentration: Cobalt/APDC Co-precipitation and Borohydride
Reductive Precipitation for Trace Metals Analysis in Water
•026 Use of Laboratory Refrigerators and Freezers
•027 Determination of Metals in Aqueous and Digestate Samples by ICP/AES
•028 Navy Sample Analysis Plan
•029 Determination of Metals in Aqueous and Digestate Samples by GFAA
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Appendix C
Battelle Marine Sciences Laboratory Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 1 Page 3 of 4
CONVENTIONAL/GENERAL CHEMISTRY
MSL-C-001 Acid Volatile Sulfide (AVS) and Simultaneously Extracted Metals (SEM) in Sediments
MSL-C-002 Total Volatile Solids
MSL-C-003 Percent Dry Weight and Homogenizing Dry Sediment, Soil, and Tissue
MSL-C-004 pH in Water
MSL-C-005 Total Dissolved Solids
MSL-C-006 Grain Size
MSL-C-007 Total Suspended Solids
MSL-C-008 Total Solids
MSL-C-009 Use and Performance Checks of Balances
MSL-C-010 Calibration and Use of Pipettes
MSL-C-011 Glassware and Equipment Cleaning Procedures
MSL-C-012 Pb210 Dating Digestion and Analysis
MSL-C-013 137Cs Analyses by Gamma Counting
MSL-C-015 Preparation of Sediment Porewater for Analysis of Organic Compounds and Metals
WATER QUALITY/INSTRUMENTATION
MSL-W-001 Calibration and Use of pH Meters
MSL-W-002 Calibration and Use of Dissolved Oxygen Meters
MSL-W-003 Calibration and Use of Thermometers
MSL-W-004 Calibration and Use of Refractometers
MSL-W-005 Calibration and Use of LI-COR Light Meter, Model LI-185A
MSL-W-006 Operation of Atlas CFA-3232 Incinerator
MSL-W-007 Determination of Ammonia
MSL-W-008 Routine Water Quality Measures for Toxicity Tests
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Battelle Marine Sciences Laboratory
Quality Assurance Management Plan
Volume 1
TOXICITY/BIOLOGICAL TESTING
Appendix C
Revision: 4
Date: May, 2000
Page 4 of 4
MSL-T-001 Water and Tissue Sample Collection
MSL-T-002 Animal Receipt, Acclimation, and Holding
MSL-T-003 Test Organism Observations
MSL-T-004 Sediment Bioaccumulation Testing
MSL-T-005 Acute Sediment Toxicity Testing Using Amphipods
MSL-T-006 Solid Phase Flow-Through Bivalve and Worm Test
MSL-T-007 Suspended Particulate Phase Preparation
MSL-T-008 Suspended Particulate Phase Bivalve Larvae Test
MSL-T-009 Suspended Particulate Phase Fish Test
MSL-T-010 Suspended Particulate Phase Mysid Test
MSL-T-012 Sediment Preparation for Chemical and/or Biological Evaluation
MSL-T-013 Suspended Particulate Phase Echinoderm Larvae Test
MSL-T-020 Preparation of Sediment Porewater
MSL-T-021 Preparation of Sediment Porewater for Sulfide Analysis
MSL-T-022 Collection and Handling of Aquatic Surface Microlayer Samples
MSL-T-023 Collection and Handling of Fish Samples Using a Backpack Electroshocker
MSL-T-024 Sediment Bioassay Testing Using Mysidopsis bahia
MSL-T-025 Bivalve Larvae Test
MSL-T-026 45-Day Sediment Bioaccumulation Testing
MSL-T-027 Supplemental Feeding for Oysters and Clams
MSL-T-028 Sediment and Water Dosing for GLP Study Number SS-00-0001
MSL-T-029 Use of Hemacytometer
MSL-T-030 Collection of Sediment, Tissue, and Water Samples for Good Laboratory Practices Study
SS-00-0001
MSL-T-031 Calibration and Use of Extech Heavy Duty Light Meter
MSL-T-032 Receipt, Holding, and/or Testing of Fish
FACILITIES
MSL-F-001
MSL-F-002
MSL-F-003
Seawater and Freshwater System Maintenance
Wastewater Discharge Permit Monitoring Procedures
Beach Facility Wastewater Control Procedure
SAFETY
MSL-S-001
Safe Diving Practices
WORK PRACTICES
Biological Hazards
Handling, Storing, and Disposing of Samples
Neutralization of Waste, Acid Solutions
Exposure Control Plan
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Appendix C
Battelle Marine Sciences Laboratory Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 1 Page 1 of 4
llBaffeiie
. . . Putting Technology To Work
Marine Sciences Laboratory
QUALITY ASSURANCE MANAGEMENT PLAN
VOLUME 2
Marine and Environmental Chemistry
May 2000
Battelle Marine Sciences Laboratory
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Appendix C
Battelle Marine Sciences Laboratory Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 1 Page 2 of 4
1529 West Sequim Bay Road
Sequim, Washington 98382
(360) 681-3645
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Appendix C
Battelle Marine Sciences Laboratory Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 1 Page 3 of 4
Battelle Marine Sciences Laboratory
MARINE AND ENVIRONMENTAL CHEMISTRY
QUALITY ASSURANCE MANAGEMENT PLAN
VOLUME 2
Concurrences and Approvals
D. Coffey Date
Quality Assurance Officer
360-681-3645
E.A. Crecelius Date
Marine and Environmental Chemistry
Technical Group Manager
360-681-3604
R. M. Ecker
MSL Manager
360-681-3602
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Appendix C
Battelle Marine Sciences Laboratory Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 1 Page i of 4
Battelle Marine Sciences Laboratory
MARINE AND ENVIRONMENTAL CHEMISTRY
QUALITY ASSURANCE MANAGEMENT PLAN
VOLUME 2
Contents
Issue Date Rev.
1.0 SAMPLE CONTROL 5/2000 4
1.1 SAMPLE RECEIPT AND LOG-IN
1.2 SAMPLE TRACKING
1.3 SAMPLE ARCHIVING AND DISPOSITION
2.0 ANALYTICAL PROCEDURES 5/2000 4
3.0 EQUIPMENT MAINTENANCE AND CALIBRATION 5/2000 4
3.1 PREVENTATIVE MAINTENANCE
3.2 EQUIPMENT CALIBRATION
4.0 QUALITY CONTROL 5/2000 4
4.1 LIMITS OF DETECTION
4.2 DATA QUALITY OBJECTIVES
4.2.1 Precision
4.2.2 Accuracy
4.2.3 Representativeness
4.2.4 Comparability
4.2.5 Completeness
4.3 HOLDING TIMES AND PRESERVATION
4.4 CONTROL CHARTS
5.0 CORRECTIVE ACTION 5/2000 4
5.1 DEVIATIONS
5.2 CORRECTIVE ACTION FOR
DATA OUTSIDE OF CONTROL LIMITS
6.0 DATA REPORTING 5/2000 3
7.0 REFERENCES 5/2000 3
APPENDICES
LIST OF EQUIPMENT 5/2000
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Volume 2 Page 3 of 3
1.0 SAM RLE CONTROL
Sample handling and tracking with the Marine and Environmental Chemistry Group is covered by two
procedures: MSL-A-001, Sample Log-in Procedure and MSL-A-002, Sample Chain of Custody. The
processing of data collected from these activities discussed in procedure MSL-D-004, Data Reporting,
Reduction, Back Up, and Archiving. The following is a description of the procedure used for receipt and
tracking of samples, as well as chain of custody procedures.
1.1 SAM RLE RECEIPT AND LOG-IN
Samples or test organisms are logged in when received in the shipping area. If a Chain of Custody (CoC)
form accompanies the samples or test organisms, this form is used to document the date and time of
sample receipt and condition. If a CoC form is not shipped with samples, an MSL form will be initiated.
For test organisms, a shipping form can be signed and dated and the condition of organisms noted.
Cooler temperatures are taken and recorded on the CoC. The sample labels are compared to the CoC
and assigned an identification code plus sequential numbering of samples upon arrival. If sample
preservation is indicated by the type of analysis or customer specification, samples may be pH adjusted
or the pH of a set of subsamples measured to ensure that samples needing to be at a pH of < 2 pH units
are acidified. This is recorded on the CoC. If samples require filtration, they will be filtered and this
information recorded on the CoC form. Samples are counted and assigned an MSL project number (i.e.,
a central file number and sequential numbering of the set of samples that were received). In some cases
samples in a set may arrive on different days depending on the customer's needs and direction.
For analytical samples, an electronic spreadsheet is generated (Login Sheet) listing the customer or
sampling identification (ID) number, (sponsor code), the MSL sample ID Number (Battelle code), the
sample matrix, the parameters requested, the date of sample collection, and the initials of the person
logging in the samples (the Sample Custodian or Designee). The location of sample storage until
preparation is also noted.
The "kit" is initiated at this time and generally includes:
• kit initiation date
• assigned central file number
• client name
• project title
• data due date
• work package number (charge code)
• any holding time specifications1
• expected sample concentration level, if known (high, moderate, low)
• expected number of samples
• blank correction instructions
• matrix and summary of requested preparation activities, digestions, and analyses
• hazardous material designation
• sample disposal instructions
• project manager signature and date
• Project Workplan Sheet - page 2; specifies sample preparation instructions
• Metals - page 3; specifies matrix and analysis method(s)
• QA/Quality Control (QC) Requirement Sheet - page 4; specifies precision (number of replicates,
number of spiked replicates), and accuracy (standard reference material [SRM] type and frequency,
number of matrix spikes and concentrations levels] method detection limit [blank and blank spike
frequency] and initial calibration verification (ICV) and continuing calibration verification [CCV])
sample frequencies. Project control limits may also be specified or attached. When the customer
does not specify project control limits, MSL default limits will be used.
In the absence of customer-specified holding times, holding times defined in standard methods
(e.g., EPA 1600 series methods; U.S. Army Corps of Engineers, 1994. Inland Testing Manual. EPA-823-
B-94-002. U.S. EPA, Office of Water. Washington, D.C.) may be assigned by the MSL Project Manager.
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Quality Assurance Management Plan Date: May 2000
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• The CoC forms are appended to the last sheet of the kit.
An addendum is prepared for anything that is added to the kit. Additions might include the receipt of
another sample set to be included in the project sample set, changes to the analysis request, or deletion
of some samples to be analyzed.
The kit and any addedums are copied and distributed by the Project Manager to all analysts involved.
The original pages of the kit become part of the Chemistry Central File System.
1.2 SAM RLE TRACKING
Sample tracking while samples are in the laboratory is the responsibility of the individual Laboratory
Supervisors and the Project Manager. It is the responsibility of the Project Manager to ensure that the
samples are given the appropriate priority in the laboratory and that the proper analyses and methods are
being performed.
1.3 SAMPLE ARCHIVING AND DISPOSITION
The Project Manager is responsible for proper disposal of leftover sample material. Sample disposition
takes three forms: 1) dispose of by appropriate means depending on sample content; 2) return to client;
or 3) archive indefinitely. Unless arrangements have been made previously, the samples are generally
disposed of by Battelle MSL.
When samples are disposed of by a subcontractor laboratory:
If the subcontractor laboratory or testing facility is responsible for disposing of the samples,
the subcontractor is asked to notify the MSL Project Manager before final disposition. The
MSL Contact will notify the originator that the samples are scheduled to be destroyed, or
will define customer requirements for an extended period of storage.
After destruction of samples, the subcontractor laboratory or testing facility is asked to return
a copy of the Chain-of-Custody Form to the MSL Contact for placement in project files.
The originator may be forwarded a copy of the final Chain-of Custody documentation if
requested.
The MSL Contact records the date of receipt on the Chain-of-Custody Form in the "Received by"
section of the form space and indicates the samples were destroyed ending the chain of possession.
When samples are disposed of by the Marine Sciences Laboratory (MSL):
If the laboratory or testing facility is not responsible for disposal of the samples, MSL personnel will
obtain custody of the samples from the subcontractor laboratory or testing facility along with the
Chain-of-Custody Form.
For returned samples or samples that have never left MSL custody, the MSL Contact will notify the
originator that the samples are scheduled to be destroyed, or will define customer requirements for
an extended period of storage. If extended storage is not requested, then MSL will dispose of the
samples following the guidelines specified in the Pacific Northwest National Laboratory's (PNNL's)
Standards-Based Management System (SBMS). This system provides a framework for logging in
reagents, chemicals and solutions into the associated Chemical Management System (CMS). This
system provides the PNNL Laboratory with the policies and procedures regarding tracking and
inventory, storage and disposal of completed samples and analytical wastes, as well as chemical
use and disposal. The CMS is used to provide an up-to-date inventory to facilitate emergency
response, monitor the location of various classes of materials and identify situations where
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Battelle Marine Sciences Laboratory Section: 1
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Quality Assurance Management Plan Date: May 2000
Volume 2 Page 3 of 3
acceptable limits for the building/facility determined by the assigned chemical hazard group and fire
zone might be exceeded before a violation occurs.
After destruction of samples, MSL personnel responsible for sample destruction returns a copy of the
Chain-of-Custody Form to the MSL Contact and the Sample Disposal Log Book entry is updated.
The MSL Contact records the date of receipt on the Chain-of-Custody Form in the "Received by"
space next to the Sample Custodian's signature and indicates the samples were destroyed ending
the chain of possession.
When samples are returned to the customer for disposal:
Samples may be returned to the customer (or the sampling site) by customer
request. Samples are shipped to meet Department of Transportation
regulations. Generally, the samples are shipped in the same way that they
were initially shipped to MSL. Sample disposition should be documented in the
central file of each project. The MSL Contact shall ensure that completed
Chain-of-Custody Forms are filed in the appropriate project files. The
originator may be forwarded a copy of the final Chain-of Custody
documentation if requested.
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Battelle Marine Sciences Laboratory Section: 1
Marine Chemistry and Ocean Processes Group Revision: 4
Quality Assurance Management Plan Date: May 2000
Volume 2 Page 3 of 3
2.0 ANALYTICAL PROCEDURES
All routine analytical laboratory activities are directed and controlled by internal MSL procedures. Where
possible, U.S. Environmental Protection Agency (EPA) and consensus methods (e.g., NOAA Status and
Trends) are used where the technique is applicable to the sample matrix and the overall objective of the
analysis. Table 2.1 lists the analytes and applicable SOPs associated with metals and ancillary
measurement analysis. Table 2.2 lists the analytes and applicable SOPs associated with organic
analysis. Table 2.3 is a list of the MSL Chemistry procedures and the corresponding EPA or other
reference methods upon which the SOPs are based.
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Battelle Marine Sciences Laboratory
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Quality Assurance Management Plan
Volume 2
Analyte
METALS (1)
Aluminum
Antimony
Arsenic
Barium
Beryllium
Cadmium
Chromium
Copper
Lead
Manganese
Mercury
Methyl Mercury
Nickel
TABLE 2.1 List of Analytes
Sed/Tiss
Preparation
Method(s)
MSL-I-003/004/006/024/C-003/01 5
MSL-I-003/004/006/024/C-003/01 5
MSL-I-003/004/006/024/C-003/01 5
MSL-I-003/004/006/024/C-003/01 5
MSL-I-003/004/006/024/C-003/01 5
MSL-I-003/004/006/024/C-003/01 5
MSL-I-003/004/006/024/C-003/01 5
MSL-I-003/004/006/024/C-003/015
MSL-I-003/004/006/024/C-003/015
MSL-I-003/004/006/024/C-003/015
MSL-l-003/004/006/024/ C-003/015
MSL-l-015
MSL-I-003/004/006/024/C-003/01 5
Selenium MSL-I-003/004/006/024/025/C-003/01 5
Silver
Tin
Thallium
Vanadium
Zinc
MSL-I-003/004/006/024/C-003/01 5
MSL-I-003/004/006/024/C-003/01 5
MSL-I-003/004/006/024/C-003/01 5
MSL-I-003/004/006/024/C-003/01 5
MSL-I-003/004/006/024/C-003/01 5
Section: 1
Revision: 4
Date: May 2000
Page 3 of 3
and SOPs for Metals and Ancillary Measurements
Sed/Tiss
Analysis
Method(s)
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-016
MSL-l-015
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
MSL-l-022/020/027
Water
Preparation
Method(s)
I-025
I-025
I-025
I-025
I-025
MSL-I-001/-025
I-025
MSL-l-001/025
MSL-l-001/025
I-025
MSL-l-012/013
MSL-l-014
MSL-l-001/025
I-025
MSL-l-001
I-025
I-025
MSL-l-001
I-025
Water
Analysis
Method(s)
MSL-l-022/1-01 9/027
MSL-I-022/I-01 9/029
MSL-l-022/1-01 9/021/027/029
MSL-l-022/1-01 9/027
MSL-l-022/1-01 9/027
MSL-l-022/1-01 9/027
MSL-l-022/1-01 9/027
MSL-l-022/1-01 9/027
MSL-l-022/1-01 9/027/029
MSL-l-022/1-01 9/023/027
MSL-l-012/013
MSL-l-014
MSL-l-022/1-01 9/027
MSL-l-022/1-01 9/023//029
MSL-l-022/1-01 9/027/029
MSL-l-022/1-01 9
MSL-l-022/1-01 9/029
MSL-l-022/1-01 9/027
MSL-l-022/1-01 9/027
ANCILLARY MEASUREMENTS
Total Lipids
Grain Size
Percent Moisture
AVS
TVS
(1) List is a partial listing
- additional metals can be analyzed
MSL-O-007
MSL-C-006
MSL-C-003
MSL-C-001
MSL-C-002
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Battelle Marine Sciences Laboratory
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Quality Assurance Management Plan
Volume 2
TABLE 2.2 List of Analytes and SOPs for Organics
Sediment/Tissue
Analyte
ORGANICS
PAHs
Acenaphthene
Acenaphthylene
Anthracene
Fluorene
Naphthalene
Phenanthrene
Benzo(a)anthracene
Benzo(a)pyrene
Benzo(b)fluorene
Benzo(g,h,i)perylene
Benzo(k)fluoranthene
Chrysene
Dibenzo(a,h)anthracene
Fluoranthene
lndeno(1 ,2,3-cd)pyrene
Acenaphthylene
Phthalates
Dimethyl Phthalate
Diethyl Phthalate
Di-n-butyl Phthalate
Butyl benzyl Phthalate
Bis(2-ethylhexyl)Phthalate
Di-n-butyl Phthalate
PCB Congeners (1)
8(2,4')
18 (2,2', 5)
28(2,4,4')
44 (2,2', 3,5')
49 (2,2', 4,5')
52 (2,2', 5,5')
66 (2,3', 4,4')
87 (2,2', 3,4,5')
101 (2,2', 3,5,5')
105 (2,3,3', 4,4')
118(2,3',4,4',5)
128(2,2',3,3',4,4')
138(2,2',4,4',5,5')
153(2,2',4,4',5,5')
170(2,2',3,3',4,4',5)
180(2,2',3,4',5,5',6)
183 (2,2', 3,4,4', 5',6)
Preparation
Method(s)
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
Sediment/Tissue
Analysis
Method(s)
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003
MSL-O-003
MSL-O-003
MSL-O-003
MSL-O-003
MSL-O-003
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
Water
Preparation
Method(s)
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
Section: 1
Revision: 4
Date: May 2000
Page 3 of 3
Water
Analysis
Method(s)
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003/015
MSL-O-003
MSL-O-003
MSL-O-003
MSL-O-003
MSL-O-003
MSL-O-003
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
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Section: 1
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Page 3 of 3
TABLE 2.2 Continued
Analyte
PCB/Aroclors(2)
1242
1248
1254
1260
Organotins
Tributyltin
Dibutyltin
Monobutyltin
Pesticides
Aldrin
-Chlordane
Trans nonachlor
Dieldrin
p,p'-DDT
o,p'-DDT
p,p'-DDD
o,p'-DDD
p,p'-DDE
o,p'-DDE
Endosulfan I
Endosulfan II
Endosulfan sulfate
Heptachlor
Heptachlorepoxide
Lindane
Sediment/Tissue
Preparation
Method(s)
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-001
MSL-O-001
MSL-O-001
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
MSL-O-006/009
Sediment/Tissue
Analysis
Method(s)
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-001/016
MSL-O-001/016
MSL-O-001/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
Water
Preparation
Method(s)
MSL-O-010/012
MSL-O-010/012
MSL-O-010/012
MSL-O-010/012
MSL-O-002
MSL-O-002
MSL-O-002
MSL-O-010
MSL-O-010
MSL-O-010/012
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
MSL-O-010
Water
Analysis
Method(s)
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-004
MSL-O-002/016
MSL-O-002/016
MSL-O-002/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
MSL-O-004/016
(1) List is a partial listing - up to 100 congeners can by analyzed
(2) List is a partial listing - additional aroclors can be analyzed
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TABLE 2.3 List of Chemical Analytical Methods Proposed and
Their Similar or Equivalent Methods
MSL Procedure
Method Used as Basis for Procedure
MSL-C-001, Acid Volatile Sulfide (AVS) and
Simultaneously Extracted Metals (SEM) in
Sediments
and Aqueous Samples
MSL-C-002, Total Volatile Solids
MSL-C-003, Percent Dry Weight and
Homogenizing Dry Sediment, Soil, and Tissue
MSL-C-004, pH in Water
MSL-C-005, Total Dissolved Solids
MSL-C-006, Grain Size
MSL-C-007, Total Suspended Solids
MSL-C-008, Total Solids
MSL-C-015, Preparation of Sediment
Porewater for Analysis of Organic
Compounds and Metals
MSL-l-001, APDC Extraction for
Trace Metals in Water
MSL-l-003, TAMU Sediment and
Tissue Digestion
MSL-l-004, Sediment Evaporation Digestion
MSL-l-005, Hot Nitric Acid Digestion
of Sediment and Tissue
MSL-l-006, Mixed Acid Sediment Digestion
MSL-l-007, Nitric Acid and Hydrogen Peroxide
Tissue and Sediment Digestion
Allen et.al., 1990
Standard Methods 1995 (Method 2540 E)
EPA 1979 (Method 160.3)
EPA 1979 (Method 150.1)
Standard Methods 1995 (Method 2540 C)
Plumb, 1981
Standard Methods 1995 (Method 2540 D)
Standard Methods 1995 (Method 2540 B)
NA
EPA 1996c (Method 1640)
NOAA1993
NA
NA
Kostas, O'Conner, and Crecelius 1997
EPA 1991 (Method 200.3)
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TABLE 2.3 Continued
MSL Procedure
Method Used as Basis for Procedure
MSL-l-011, Total Mercury in Solids by CVAF
MSL-l-012, Easily Reduceable Mercury in Water
by CVAF
MSL-l-013, Total Mercury in Aqueous Samples
by CVAF
MSL-l-014, Methyl mercury in Aqueous
Samples by CVAF
MSL-l-015, Methylmercury in Tissues and
Sediments by CVAF
MSL-l-016, Total Mercury in Tissues and
Sediments by CVAA
MSL-l-020, Trace Elements in Sediments
and Tissues by GFAA
MSL-l-021, Arsenic Speciation in Aqueous
Samples
MSL-l-022, Determination of Elements in
Aqueous and Digestate Samples by ICP/MS
MSL-l-023, Selenium Speciation in Aqueous
Samples
MSL-l-025, Methods of Sample Preconcentration:
Cobalt/APDC Coprecipitation and Borohydride
Reductive Precipitation for Trace Metals
Analysis in Water
MSL-l-027, Determination of Metals in Aqueous
and Digestate Samples by ICP/AES
MSL-l-029, Determination of Trace Elements
in Water by Stabilized Temperature GFAA
MSL-O-001, Butyltins in Sediment and Tissue
MSL-O-002, Butyltins in Water
Bloom and Crecelius, 1983
Bloom and Crecelius, 1983
Bloom and Crecelius, 1983; EPA 1996b
(Method 1631)
Bloom, 1989; EPA 1998a (Method 1630)
Bloom, 1989
EPA 1991 (Methods 245.5 and 245.6)
EPA 1991 (Method 200.9)
EPA 1998b (Method 1632)
EPA 1991 (Method 200.8), EPA 1996d
(Method 1638)
EPRI 1986
Brugmann et. al., 1983
EPA 1994 (EPA 200.7); EPA 1997 (SW-846 Method
6010B)
EPA 1991 (Method 200.9)
Linger et. al., 1986
Linger et. al., 1986
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TABLE 2.3 Continued
MSLSOP
Method Used as Basis for SOP
MSL-O-003, Identification and Quantification of
Polynuclear Aromatic Hydrocarbons by GC/MS
MSL-O-004, Analysis of PCBs and Chlorinated
Pesticides by GC/ECD
MSL-O-006, HPLC Cleanup of Organic Extracts
MSL-O-007, Determination of Lipid Content
in Tissues
MSL-O-009, Extraction and Cleanup of Sediment
and Tissue for Semivolatile Organics following the
Surrogate Internal Standard Method
MSL-O-010, Extraction and Cleanup of Water
for Semivolatile Organics following the
Surrogate Internal Standard Method
MSL-O-012 Extraction and Cleanup of Resin
Cartridges for Polychlorinated Biphenyls and
Trans-Nonachlor
MSL-O-016, Analysis of PCBs and Chlorinated
Pesticides by GC/ECD Following EPA Method
8080A Quality Control Criteria
EPA 1996a (Method 8270C)
EPA 1996a (Method 8081 A)
Krahn et. al., 1988
Bligh & Dyer, 1959
NOAA1993
NOAA1993
EPA 1986
EPA 8080A
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Quality Assurance Management Plan Date: May, 2000
Volume 2 Page 1 of 11
3.0 EQUIPMENT MAINTENANCE AND CALIBRATION
3.1 PREVENTATIVE MAINTENANCE
Equipment is serviced regularly by qualified individuals, either trained in-house personnel or through
service contracts with the manufacturer or an authorized representative. Written records of all instrument
maintenance, calibration, testing, and inspection are maintained. Maintenance records contain a
description of the operation or problem, the remedial action taken (if necessary), date, the person
responsible, and where applicable, documentation of the instrument's return to analytical control. Each
major instrument listed in Appendix A has it's own logbook used to document the preventative
maintenance.
3.2 EQUIPMENT CALIBRATION
Calibration procedures are performed on each piece of analytical equipment prior to use. Requirements
for specific levels and frequency of calibration are described in the procedures specific for the equipment
and methods that are being used. These criteria are summarized in Table 3.1. Note that these are the
minimum requirements and project specific requirements may be different. All raw calibration data are
kept in the data files and are traceable to sample runs. Corrective actions when calibration criteria are
not met are described in section 5.0 of this document and in the specific procedures.
Initial Calibration Verification
After instrument calibration, an initial calibration verification (ICV) sample should be run to verify
instrument control. Normally, this check will consist of running a standard reference material (SRM) or
one of the same standards that were used for the initial calibration. For samples that are to be analyzed
for the Navy, or when requested by a client, a secondary source ICV shall be run prior to running any
samples. This ICV will be a standard from a different source than those used in the initial calibration.
Continuing Calibration Verification
Continuing calibration verification (CCV) samples shall be run at the frequency described in the SOP for
each method. Analysts will attempt to run CCVs such that they bracket the analytical range of the
samples run in the analytical batch. If CCVs do not bracket the samples, the data will be flagged.
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PID
Section: 4
Revision: 4
Date: May, 2000
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TABLE 3.1 Marine and Environmental Chemistry Calibration Procedures
Equipment
GC/ECD
GC/MS
GC/FPD
HPLC
GFAA
ICP/MS
ICP/AES
CVAA
CVAF
SOP No./Section
MSL-O-0047 Sec. 4.1.1
MSL-O-003/ Sec. 5.1.1
MSL-O-001/002/Sec. 5.1 and 6.1
MSL-O-006
MSL-l-029/Sec 5.4.2
MSL-l-022/ Sec 5.0
MSL-l-027/Sec. 5.4.2
MSL-l-016/ Sec. 4.4.1 and 5.1
MSL-l-01 2/01 3/01 4/01 5
Parameters
PCBs, chlorinated pests
PAH, phthalates
Butyltins
Semivolatile clean-up
Metals in water, sediment
and tissue
Metals in water, sediment
Metals in water, sediment
value and tissue
Total Hg in sediment and tissue
Total Hg in water and MeHg in
Description (a)
4 pt calibration
3 pt calibration
4 pt calibration
only set collection
windows
3 pt calibration
3 pt calibration
1 pt. calibration
4 pt calibration
4 pt calibration
Criteria
The RSD(b) of the RRF(C) <_30%
for each analyte
The RSD of the RRF <_30%
for each analyte
The RSD of the RRF <_30%
for each analyte
Not used for quantitation
r2> 0.995
r2> 0.995
ICV within 10% of concentration
r2> 0.995
r2> 0.995
MSL-C-001
water, sediment and tissue
Acid Volatile Sulfides
3 pt calibration
r2> 0.99
(a) Minimum number of calibration points
(b) RSD = relative standard deviation
(c) RRF = Relative Response Factor
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Battelle Marine Sciences Laboratory Section: 4
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Quality Assurance Management Plan Date: May, 2000
Volume 2 Page 1 of 11
4.0 QUALITY CONTROL
The characteristics used to define data quality are accuracy, precision, completeness, comparability,
representativeness and sensitivity (limits of detection). The definition and application of these parameters
are discussed below.
4.1 LIMITS OF DETECTION
Method detection limits (MDLs) are determined for all parameters for a number of different matrices. The
matrices generally used for MDL studies are freshwater collected from the in-house deionized water
system, filtered seawaterfrom Sequim Bay, Sequim Bay or other clean sediment, and Macoma tissue.
The method used to determine MDLs is covered in procedure MSL-Q-007, Procedure for Determining
Method Detection Limits. Briefly, MDLs are determined by spiking a minimum of 7 replicate matrices with
low levels of the analytes of interest. MDLs are calculated by multiplying the standard deviation of the
replicate results by the student t value (99th percentile) for the number of replicates analyzed. Limits of
quantitation may also be reported on request as more conservative estimates of detection limits and are
defined as 10 times the standard deviation of the replicate analyses. MDL studies should be performed
annually.
Tables 4.1 and 4.2 show representative MDLs for the majority of parameters analyzed at Battelle and for
a variety of matrices. Since MDLs change yearly and sometimes are performed specifically for individual
projects, these exact MDLs are not used to report all data, however; they give a good approximation of
the level of detection capable for the various parameters using the methods specified. Because the types
of matrices actually analyzed at Battelle vary quite significantly, the MDLs determined on representative
matrices may only be estimates of actual detection limits achievable. In addition, MDLs will change if
insufficient sample is received by the MSL, if sample matrix interference dictates higher detection limits,
or if modifications to existing methods are requested by the client.
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Section: 4
Revision: 4
Date: May, 2000
Page 1 of 11
TABLE 4.1 Typical Inorganic MDLs
SEDIMENT ( a/a drv wt.)
METALS
Aluminum
Antimony
Arsenic
Barium
Beryllium
Cadmium
Chromium
Copper
Lead
Manganese
Mercury
Methyl mercury
Nickel
Selenium
Silver
Tin
Thallium
Vanadium
Zinc
ICP/MS
1.0
0.05
0.60
0.10
0.10
0.024
0.50
0.70
0.75
0.65
NA
NA
1.2
0.25
0.02
0.05
0.02
1.0
3.3
GFAA
1.0
0.50
1.0
10
0.30
0.03
0.50
0.10
0.50
0.50
NA
NA
0.50
0.27
0.02
1.0
0.50
NA
1.0
CVAA/F
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
0.009
0.00006
NA
NA
NA
NA
NA
NA
NA
TISSUE ( a/a drv wt.)
ICP/MS
1.8
0.04
0.04
0.04
0.2
0.03
0.25
0.014
0.02
0.63
NA
NA
0.02
0.12
0.03
0.0
0.02
0.10
0.10
GFAA
2.0
0.2
0.03
2.0
0.10
0.10
0.10
0.10
0.10
0.10
NA
NA
0.10
0.40
0.05
0.50
0.20
NA
0.50
APDC/
CVAA/F
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
0.02
0.005
NA
NA
NA
NA
NA
NA
NA
WATER ( a/L)
ICP/MS
0.06
0.009
0.04
0.006
0.05
0.02
0.04
0.01
0.005
0.001
NA
NA
0.03
0.39
0.004
0.02
0.004
0.02
0.04
ICP/MS
NA
NA
0.003
NA
NA
0.003
NA
0.03
0.03
NA
NA
NA
0.06
NA
0.005
NA
NA
NA
NA
GFAA
2.0
2.9
1.0
5.0
0.20
0.05
0.10
0.50
1.0
0.50
NA
NA
1.5
0.78
0.50
2.0
1.0
NA
0.55
CVAA/F
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
0.0002
0.00004
NA
NA
NA
NA
NA
NA
NA
APDC Ammonium pyrrolidinedithiocarbamate
ICP/MS Inductively Coupled Plasma Mass Spectrometry
GFAA Graphite Furnace Atomic Absorption
CVAA/F: Cold Vapor Atomic Absorption/Fluorescence
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TABLE 4.2 Typical Organic MDLs
PARAMETER
PAHS
Naphthalene
Dimethyl Phthalate
Acenaphthylene
Acenaphthene
Diethyl Phthalate
Fluorene
Phenanthrene
Anthracene
Di-n-butyl Phthalate
Fluoranthene
Pyrene
Butyl benzyl Phthalate
Benzo(a)anthracene
Chrysene
Bis(2-ethylhexyl) Phthalate
Di-n-octyl Phthalate
Benzo(b)fluoranthene
Benzo(k)fluoranthene
Benzo(e)pyrene
Benzo(a)pyrene
Perylene
lndeno(1 ,2,3-cd)pyrene
Dibenzo(a.h)anthracene
Benzo(g,h,i)perylene
SEDIMENT
(|j,g/kg dry wt)
0.23
10.8
0.43
0.39
24.5
0.53
3.51
0.72
21.4
0.45
0.52
15.3
0.19
0.52
45.0
24.1
0.63
0.44
1.17
0.85
1.30
0.84
0.51
0.55
TISSUE
(l-ig/kg wet wt)
1.85
2.91
0.55
1.39
76.6
1.28
2.67
2.25
7.68
3.10
2.79
6.02
0.90
1.74
17.0
5.64
1.14
1.50
1.30
1.28
1.35
1.53
1.22
1.07
WATER
(ng/L)
2.8
NA
30.7
3.6
NA
8.8
15.7
17.0
NA
8.7
7.9
NA
3.2
3.4
NA
NA
14.5
14.8
19.5
7.5
2.9
11.8
13.1
11.4
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TABLE 4.2
PARAMETER
PESTICIDES
Hexachlorobenzene
a-BHC
G-BHC
Heptachlor
Aldrin
b-BHC
d-BHC
Heptachlor Epoxide
2,4'-DDE
Endosulfan 1
g-Chlordane
a-Chlordane
Trans Nonachlor
4,4'-DDE
Dieldrin
2,4'-DDD
Endrin
4,4'-DDD
Endosulfan II
4,4'-DDT
Endrin Aldehyde
Endosulfan Sulfate
Methoxychlor
Mi rex
Endrin Ketone
T-Chlordane
Toxaphene
Typical Organic MDLs
SEDIMENT
(|j,g/kg dry wt)
0.64
0.45
0.28
0.08
0.27
0.45
0.45
0.39
0.85
0.45
0.45
0.64
0.29
0.18
0.26
0.26
0.45
0.33
0.45
0.94
0.45
0.45
0.45
0.28
0.45
5.0
20
Section:
(continued)
TISSUE
(l-ig/kg wet wt)
0.13
0.18
0.13
0.19
0.13
0.18
0.18
0.13
0.26
0.18
0.18
0.10
0.15
0.19
0.52
0.25
0.18
0.26
0.18
0.15
0.18
0.18
0.18
0.20
0.18
5.0
20
4
Revision: 4
Date: May, 2000
Page 2 of 11
WATER
(ng/L)
1.18
2.00
1.23
1.02
0.76
2.00
2.00
2.14
0.74
2.00
2.00
1.93
0.57
0.84
0.36
0.98
2.00
0.28
2.00
0.50
2.00
2.00
2.00
6.29
2.00
5.0
20
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Volume 2
TABLE 4.2 Typical Organic MDLs (continued)
SEDIMENT TISSUE
PARAMETER (ng/kg dry wt) (l-ig/kg wet wt)
PCB/CONGENERS
Range 0.06 - 3.05 0.06 - 0.28
AROCLORS
1242 3.16 6.95
1248 3.16 6.95
1254 3.16 6.95
1260 3.16 6.95
BUTYLTINS
Tributyltin 0.48 0.37
Dibutyltin 0.56 1.39
Monobutyltin 1.82 1.97
4
Revision: 4
Date: May, 2000
Page 3 of 11
WATER
(ng/L)
0.17- 1.15
NA
NA
NA
NA
3.07
12.0
10.8
NA = Not Applicable
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Battelle Marine Sciences Laboratory Section: 4
Marine Chemistry and Ocean Processes Group Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 2 Page 4 of 11
4.2 DATA QUALITY OBJECTIVES
The quality control (QC) measurements that are performed during the chemical analysis of the sediments,
waters and tissues are outlined in each applicable analytical SOP. The precision and accuracy objectives
specified in the SOPs are based on standard method performance information (when available) and
historical laboratory performance but may change based on project specific criteria. When required by
the client or MSL project manager, other QC checks for accuracy, precision, comparability and
completeness shall be applied to each batch of samples. Corrective actions when data quality objectives
(DQOs) are addressed in Section 5.0.
4.2.1 Precision
Precision measures the similarity of individual measurements of the same property, usually under
prescribed similar conditions.
Within the Marine Chemistry and Ocean Processes Group, measures of analytical precision will be
determined by the analysis of laboratory replicates or matrix spike/matrix spike duplicate recoveries.
Duplicates are normally performed unless more are requested by the client. Laboratory replicates will be
prepared by homogenizing and splitting a sample in the laboratory, and carrying the subsamples through
the entire analytical process. Precision can be expressed in terms of relative percent difference (RPD) or
relative standard deviation (RSD).
For replicates where duplicates are performed, RPD will be used:
RPD = _C^C2__ x 100
where RPD = relative percent difference
C-| = larger of the two observed values
C2 = smaller of the two observed values
For replicates where triplicates or more are performed, RSD (coefficient of variation) will be used:
RSD = (s)x 100
m
where RSD = relative standard deviation
s = standard deviation of replicates
m = mean of replicates
4.2.2 Accuracy
Accuracy is a measure of the bias of a system or measurement. It is the closeness of agreement
between an observed value and an accepted value.
Within the Marine and Environmental Chemistry Group, accuracy of chemical analysis will be determined
[for each matrix of interest (sediment, tissue and seawater)] through the analysis of matrix spikes,
surrogate internal standards, method blanks and, when available, SRMs. SRMs are materials that have
been certified by a recognized authority [e.g., National Institute of Standards and Technology (MIST)] and
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Volume 2 Page 5 of 11
which are treated and analyzed as an actual sample. Matrix spikes will be performed by adding a known
quantity of target analytes into a sample and preparing and analyzing the sample the same as a regular
sample. Surrogate internal standards will be spiked into each sample for organics analyses just prior to
extraction and will be used to monitor the method performance. Method blanks will be used to measure
contamination associated with laboratory processing and analyses.
For measurements where matrix spikes are used, percent recovery will be used to assess accuracy:
%R= S-U x100
Csa
where %R = percent recovery
S = measured concentration in spiked aliquot
U = measured concentration in unspiked aliquot
Csa = actual concentration of spike added
For situations where a SRM is used, percent difference or percent recovery will be used:
PD = C1^C2 x100
~C2 "
where PD = percent difference
C-| = measured value
C2 = certified or consensus value
%R = C1 x100
C2
where %R = percent recovery
C-| = measured value
C2 = certified or consensus value
4.2.3 Representativeness
Representativeness expresses the degree to which data accurately and precisely represent a
characteristic of a population, parameter variations at a sampling point, a process condition, or an
environmental condition.
Representativeness will be addressed primarily by the proper handling and storage of samples and
analysis within the specified holding times so that the material analyzed reflects the material collected as
accurately as possible. Representativeness of data will be discussed, when appropriate, in deliverable
reports.
4.2.4 Comparability
Comparability expresses the confidence with which one data set can be compared to another.
Comparability will not be quantified, but will be addressed through the use of laboratory methods that are
based on EPA or other recognized methods. The use of standard reporting units also will facilitate
comparability with other data sets. Comparability of other data will be discussed, when appropriate, in
deliverable reports.
4.2.5 Completeness
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Battelle Marine Sciences Laboratory Section: 4
Marine Chemistry and Ocean Processes Group Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 2 Page 6 of 11
Completeness is a measure of the amount of valid data obtained from a measurement system compared
to the amount that was expected to be obtained under normal conditions.
Target completeness values are 100% for chemical sample analysis.
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Battelle Marine Sciences Laboratory
Marine Chemistry and Ocean Processes Group
Quality Assurance Management Plan
Volume 2
4.3 HOLDING TIMES AND PRESERVATION
Section: 4
Revision: 4
Date: May, 2000
Page 7 of 11
Holding times for analytical chemistry typically begin with the day of sample collection. These holding
times and requirements are listed in Table 4.3. Because MSL can not control the fate of samples prior to
receiving them, MSL calculates holding times from the time of sample receipt. However, sample
collection data are recorded and holding times can be assessed from both the date of sample collection
and the date of sample receipt, depending on customer preference.
TABLE 4.3 Sample Holding Times and Preservation
Analysis
Preservation
Holding Time
Sediment*
Metals (except Hg)
Mercury
Organic Compounds
Grain Size
Tissue*
Metals (except Hg)
Mercury
Water
Metals (except Hg)
Organic Compounds
freeze dried at room temp.
or frozen at-20°C
freeze dried at room temp.
or frozen
4 °C /-20 °C
4°C
freeze dried at room temp.
or frozen at-20 °C
freeze dried at room temp.
or frozen
Organic Compounds 4 °C / -20 °C
<2 pH with HMOs/room temp.
4°C
6 months
28 days(a)
30 daysC3) to extraction; 40 days
(to analysis after extraction)
6 months
6 months
28 days(a)
30 daysC3) to extraction; 40 days
(to analysis after extraction)
6 months (Hg 28 days)
7 days to extraction; 40 days (to
analysis after extraction)
(a) If samples are freeze dried, then samples can be held for up to 6 months.
(b) TWO references state that if sediments and tissues are held frozen (-20 °C), then holding times for
chemical analysis may be extended up to 6 months: (1) Puget Sound Estuary Program, Recommended
Guidelines for Measuring Organic Compounds in Puget Sound Sediment and Tissue Samples, EPA,
December 1989; and (2) EPA, Analytical Methods for U.S. EPA Priority Pollutants and 301 (h) Pesticides
in Estuarine and Marine Sediments, EPA, May 1986.
* After receipt at the laboratory, sediment and tissue samples for analysis of metals will be held
refrigerated (4 °C ± 2 °C) until freeze dried.
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Battelle Marine Sciences Laboratory Section: 4
Marine Chemistry and Ocean Processes Group Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 2 Page 8 of 11
4.4 CONTROL CHARTS
Control charts are used to assess quality control (QC) efforts in the laboratory by graphically presenting
the variability overtime of the various analyses performed. The control charts produced are theoretically
based on normally-distributed measurements and short-term variation. The data that are presented in a
control chart may vary with the analysis, information sought, the amount of data available, and customer
specifications. Details of the control charting process used at the MSL are covered in procedure, MSL-Q-
006, Procedures for Control Charting. A brief description of the methods used, the criteria used for
assessing out of control events, and the administration of the control charts is presented here.
4.4.1 Control Chart Methodology
The control charts produced are based on normally distributed measurements and short-term variation.
Precision is charted overtime by calculating a mean recovery for the control sample parameters and then
establishing upper and lower warning and control limits. The warning limit is defined as ±2o and the
control limits are defined as ±3o . The control samples used for organic parameters are blank spikes and
for inorganic parameters results from the analyses of a standard reference material are plotted. A
minimum of 20 points are used to set the initial control limits for each parameter.
SRMs used as inorganic control samples are generally obtained from either NIST or the National
Research Council of Canada (NRCC). All certificates of accepted values for the SRMs are kept in a
central SRM log book by inorganic laboratory supervisor. Inorganic SRMs are available for water,
sediment and tissue and separate control charts for each SRM analyzed will be maintained.
4.4.2 Criteria for Assessing Out of Control Events
The laboratory process for a particular analyte will be considered out of control whenever, as a minimum,
any one of the following conditions is demonstrated:
1. Any one point is outside of the control limits;
2. Any three consecutive points are outside of the warning limits;
3. Any eight consecutive points are on the same side of the centerline;
4. Any six consecutive points are such that each point is higher or lower than its immediate
predecessor;
5. Any obvious cyclic pattern is seen in the points.
When any one of the situations listed above occurs, it is the responsibility of the appropriate laboratory
supervisor to notify the MSL QA Officer and Project Manager so that appropriate corrective actions can
be determined and the situation documented by filling out a Quality Problem Report form and attaching a
copy to the control chart. Details regarding the procedure and information required on a Quality Problem
Report form are described in procedure MSL-A-005, Deviations from Established Requirements.
4.4.3 Administration of Control Charts
One set of control samples (e.g. one set of blank spikes for organic parameters and one SRM for
inorganic parameters) is analyzed with each batch of samples, with a batch consisting of no more than 20
samples. Control charts are produced quarterly by the data manager and distributed to the laboratory
supervisors and appropriate project managers. Project-specific requirements may have a greater
frequency, or may require that control be prepared only for control samples run with project-specific
samples. Table 4.4 lists the minimum numbers of parameters to be charted.
Note that control charts are only used for monitoring blank spikes and SRMs. Control limits for matrix
spikes, replicate analyses, blank analyses etc. are generally defined by the project guidelines. If
available, standard EPA control limits are used. Additional or alternate compounds may be charted if
necessary.
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Battelle Marine Sciences Laboratory
Marine Chemistry and Ocean Processes Group
Quality Assurance Management Plan
Volume 2
Section: 4
Revision: 4
Date: May, 2000
Page 9 of 11
TABLE 4.4 Control Chart Parameters
Matrix
QC Sample
Analyte and/or Method
Matrix
Water or Sediment/Tissue
Blank Spikes
ORGANICS
Parameter
PAHs
PCBs
PCBs
Pesticides
Butyltins
INORGANICS
Compounds
Anthracene, Benzo(a)pyrene
Aroclor 1254
2 Congeners or Total PCB
Dieldrin
Tributyltin
Matrix
Water (fresh)
Sediment (estuarine)
Tissue (shellfish)
Metals/ Method
Cd, Cu, Zn, Pb/ ICP-MS,
Cd, Cu, Zn, Pb/ ICP-MS or GFAA, Hg/CVAA
Cd, Cu, Zn, Pb/ ICP-MS or GFAA, Hg/CVAA
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Battelle Marine Sciences Laboratory Section: 5
Marine Chemistry and Ocean Processes Group Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 2 Page 1 of 1
5.0 CORRECTIVE ACTION
The need for corrective action may be identified by the technical staff during the course of their work or
through assessments or data audits. Each individual performing laboratory or data processing activities
will be responsible for notifying the appropriate supervisory personnel of any circumstance that could
affect the quality or integrity of the data.
5.1 DEVIATIONS
All deviations from approved procedures, project planning documents or this QAMP will be documented.
Depending on the severity of the deviation, the MSL QA Officer and the Project Manager will determine
how the deviation will be documented through
use of a Quality Problem Report (QPR) form (Exhibit 12.1 of Volume 1) per MSL-A-005,
Deviations from Established Requirements;
documented as part of the narrative summary provided to the customer, and
documented directly on the raw data.
The MSL QA Officer and the Project Manager will determine if there is a formal deviation when one or
more control limits are exceeded in a data set. In some cases, the customer may be involved in these
discussions. Deviations from project control limits will be identified in the narrative accompanying the
data set or package or in a letter to the customer, and the impact of the deviation addressed. The
following are guidelines to resolving deviations identified within the Marine and Environmental Chemistry
Group:
When sample integrity is compromised or questionable (e.g., mislabeling, broken or leaking
sample containers, improperly preserved samples, expiration of sample holding times), it is the
responsibility of the staff who identify the problem to bring it immediately to the attention of the
Project Manager or Technical Group Leader for resolution.
In the event of an instrument problem, it is the responsibility of the operator to attempt to correct
the problem (e.g., recalibrate the instrument). If the problem persists or cannot be identified, the
issue should be brought to the attention of the Technical Group Leader for resolution.
Corrective actions for results outside established DQOs are addressed in section 5.2.
5.2 CORRECTIVE ACTION FOR DATA OUTSIDE OF CONTROL LIMITS
It is the responsibility of the analyst to monitor QC sample results. Results outside the established criteria
in method procedures or project specific criteria will be brought to the attention of the Laboratory
Supervisor and Project Manager who will determine and document the appropriate corrective action. The
corrective actions may include, but are not limited to, review of data and calculations, flagging of suspect
data (flagging requirements are addressed in Section 6.0) or re-extraction and/or re-analysis of individual
or entire batches of samples. Documentation may take the form of flagging the QC data and/or sample
data in the report. The form of documentation is project specific, but at a minimum, the QC data that is
outside the established criteria shall be flagged. In addition, during the process of data review performed
by the MSL QA Officer or representative as per procedure, MSL-Q-005, Quality Assurance Data Audits,
the QC data of concern my be required to be addressed in the narrative to the customer accompanying
the sample data.
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Battelle Marine Sciences Laboratory Section: Appendix A
Marine Chemistry and Ocean Processes Group Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 2 Page 2 of 2
6.0 DATA REPORTING
All reported data will be validated and verified in accordance with Section 10 of Volume 1. Chemistry
data and all accompanying QC data will be reported as tables of validated data points for analysis.
Reporting limits are defined as MDLs or, when required by a client, target detection limits. When
reporting data, the following example data flags will be used where appropriate:
U Analyte not detected at or above the detection limit shown
J Analyte detected below the detection limit; concentration reported may be an estimate
B Analyte detected in sample is less than 5 times the blank value
E Analyte concentration estimated because of matrix interference in sample
X Analyte quantified outside of the calibration range of the instrument
D Analyte determined from diluted sample
In addition, all QC data that falls outside established control limits will be flagged.
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Battelle Marine Sciences Laboratory Section: Appendix A
Marine Chemistry and Ocean Processes Group Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 2 Page 2 of 2
7.0 REFERENCES
Allen, H.E., G. Fu, and B. Deng. 1990. Development of Analytical Method for the Determination of Acid
Volatile Sulfide (AVS) in Sediment. Department of Civil Engineering. University of Delaware. Newark,
Delaware. September 1990.
Bligh, E.G., and W. J. Dyer. 1959. A Rapid Method of Total Lipid Extraction and Purification. Canadian
Journal of Biochemistry and Physiology. Vol 37 No. 8. pp. 911-917.
Bloom and Crecelius. 1983. Determination of Mercury in Seawater at Sub-nanogram Per Liter Levels.
Marine Chem. 14:49-59.
Bloom and Crecelius. 1984. Determination of Silver in Seawater by Coprecipitation with Cobalt
Pyrrolidinedithiocarbamate and Zeeman Graphite Furnace Atomic Absorption Spectrometry. Anal. Chim.
Acta 156:139-145.
Bloom 1989. Determination of Picogram Levels of Methylmercury by Aqueous Phase Ethylation,
Followed by Cryogenic Gas Chromatography with Cold Vapor Atomic Fluorescence Detection. Can. J.
Fish. Aquat, Sci., Vol. 46, 1989.
Brugmann, L., L.G. Danielsson, B. Magnusson, and S. Westerlund. 1983. Intercomparison of different
methods for the determination of trace metals in seawater. Mar. Chem. 18:327-339.
Cutter, G.A. 1978. Species Determination of Selenium in Natural Waters. Anal. Chim. Acta. 98:59-66.
EPA. 1979. Revised (1983). Methods for the Chemical Analysis of Water and Wastes. EPA-600/4-79-
020. U.S. EPA, Environmental Monitoring Systems Laboratory, Cincinnati, OH.
EPA. 1986. The Determination of Polychlorinated Biphenyls - Cleaning Methods for XAD-2 Resin and
Filters, in Quality Assurance Plan - Green Bay Mass Balance Study. EPA 660/4-86-045.
EPA. 1991. Methods for the Determination of Metals in Environmental Samples. EPA-600/4-91-010.
Environmental Services Division, Monitoring Management Branch.
EPA, 1994 (revised). Methods for Chemical Analysis of Water and Wastes. EPA/600/5-94. U.S. EPA,
Cincinnati, Ohio.
EPA. 1995. Method 1637. Determination of Trace Elements in Ambient Waters by Chelation
Preconcentration with Graphite Furnace Atomic Absorption. EPA 821-R-95-030. April 1995. U.S. EPA,
Office of Water. Washington, D.C.
EPA. 1996a. Test Methods for Evaluating Solid Waste. U.S. EPA, Office of Solid Waste and Emergency
Response, Washington, D.C. (SW846)
EPA. 1996b. Method 1631. Mercury in Water by Oxidation, Purge and Trap, and Cold Vapor Atomic
Fluorescence Spectrometry. EPA 821-R-96-012. July 1996.
EPA. 1996c. Method 1640. Determination of Trace Elements in Ambient Water by On-Line Chelation
Preconcentration and Inductively Coupled Plasma-Mass Spectrometry. January 1996.
EPA. 1996d. Method 1638. Determination of Trace Elements in Ambient Water by Inductively Coupled
Plasma-Mass Spectrometry. Draft, January 1996.
EPA, 1997. Test Methods for Evaluating Solid Waste. EPA/SW-846. U.S. EPA, Office of Solid Waste
and Emergency Response. Washington, D.C.
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Battelle Marine Sciences Laboratory Section: Appendix A
Marine Chemistry and Ocean Processes Group Revision: 4
Quality Assurance Management Plan Date: May, 2000
Volume 2 Page 2 of 2
EPA. 1998a. Method 1630. Methyl Mercury in Water by Distillation, Aqueous Ethylation, Purge and
Trap, and CVAFS. Draft. March 1998.
EPA. 1998b. Method 1632. Chemical Speciation of Arsenic in Water and Tissue by Hydride Generation
Quartz Furnace Atomic Absorption. Draft, Revision 2.0, March 1998.
EPRI, 1986. Speciation of Selenium in Natural Waters and Sediments: Volume 1; Selenium Speciation.
EPRIEA-4641. Electric Power Research Institute. Norfolk, Virginia.
Kostas, D.D., O'Conner, T.P., Crecelius, E.A. 1997. Evaluation of Digestion Procedures for Determining
Silver in Mussels and Oysters. Environ. Sci. Technol. 1997, 31, 2303-2306.
Krahn et al. 1988. New HPLC Cleanup and Revised Extraction Procedures for Organic Contaminants.
NOAA Technical Memorandum NMFS F/NWC-153. 1988.
NOAA 1993. NOAA Status and Trends Technical Memorandum, NOSORCA71, July 1993.
NOAA Technical Memorandum NOS ORCA 130 "Sampling and Analytical Methods of the National Status
and Trends Program Mussel Watch Project: 1993-1996 Update". G.G Lauenstein and A.Y. Cantillo, eds.
Plumb, R.H., Jr. 1981. Procedure for Handling and Chemical Analysis of Sediment and Water Samples.
Tech. Rep. EPA/CE-81-1. Prepared by Great Lakes Laboratory, State University College at Buffalo,
Buffalo, NY, for the U.S. EPA/U.S. Army Corps of Engineers Technical Committee on Criteria for Dredged
and Fill Material. U.S. Army Corps of Engineers, Waterways Experiment Station, Vicksburg, MS.
Rafter, T.A. 1950. Sodium Peroxide Decomposition of Minerals in Platinum Vessel. Analyst 1950.
Volume 75, pp. 485-492.
Standard Methods 1995. Standard Methods for the Examination of Water and Wastewater. 19th Edition.
American Public Health Association, American Water Works Association, Water Environment Federation.
Unger, M.A., W.G. Maclntyre, J. Greaves, and R.J. Huggett. 1986. GC Determination of Butyltins in
Natural Waters by Flame Photometric Detection of Hexyl Derivatives with Mass Spectrometric
Confirmation. Chemosphere 15(4):461-470.
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Battelle Marine Sciences Laboratory
Marine Chemistry and Ocean Processes Group
Quality Assurance Management Plan
Volume 2
Section: Appendix A
Revision: 4
Date: May, 2000
Page 2 of 2
APPENDIX A
MARINE CHEMISTRY EQUIPMENT LIST
The following is a list of the major pieces of equipment in both the organic and inorganic chemistry
laboratories. This list is intended to demonstrate the types of equipment available and will be revised
when the QAMP is revised, but not each time equipment or instruments are added or deleted.
Balances
Make
Sartorius
Mettler
Fisher/Denver
Denver
Ohaus
Mettler
Sartorius
Mettler
Sartorius
Model
B3100P
AE50
XL300
XP-300
CT200
PE3600
BP3100S
AC100
LC1200S
Serial Number
40019183
M21198
09630
990131
CD03172
D56329
50806575
A89515
10606711
Location
MSL5
118
118
126
126
126
215
223
231
231
ORGANIC CHEMISTRY
EQUIPMENT
Measures
Determination of TBT,
alkanes, phosphorus
and sulfur compounds
PAHs and phthalates
Chlorinated compounds,
PCBs and pesticides
Presently idle
Sample clean up, Gel
permeation
chromatography,
explosives, and PAHs
Sample clean up, Gel
permeation
chromatography,
explosives, and PAHs
Description
Hewlett Packard 5890 Gas Chromatograph/
Flame Photometric Detector/ Flame lonization
Detector
Hewlett Packard 5890 Gas
Chromatograph/Model 5970 Quadropole Mass
Selective Detector
Varian Star 3600 CX Gas
Chromatograph/Electron Capture
Detector/Flame lonization Detector
VG Fison Model TRIO 1000 Gas
Chromatograph/Liquid Chromatograph/Mass
Spectrometer with Thermospray/Plasmaspray
Interface
High Performance Liquid Chromatograph
(HPLC) system with autosampler,
UV/Florescence Detector
High Performance Liquid Chromatograph
(HPLC) system with autosampler,
UV/Florescence Detector
Serial or ID
Number
WB73809
N821982
N830047
N828035
WD28663
N828182
Location
MSL5
223
215
223
215
223
114
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Battelle Marine Sciences Laboratory
Marine Chemistry and Ocean Processes Group
Quality Assurance Management Plan
Volume 2
Section: Appendix A
Revision: 4
Date: May, 2000
Page 2 of 2
INORGANIC
CHEMISTRY
EQUIPMENT
Measures
Metals
Mercury and
Methylmercury
Mercury and
Methylmercury
Mercury and
Methylmercury
Metals
Metals
Metals
Atomic Absorption
Spectrometers
Metals
Metals
Mercury (back up only)
Mercury (back up only)
Mercury (back up only)
Mercury
Description
Perkin-Elmer Elan 5000 inductively coupled
plasma mass spectrometer (ICP-MS)
Perkin-Elmer Elan 6100 inductively coupled
plasma mass spectrometer (ICP-MS)
Cold Vapor Atomic Fluorescence Unit - In-
house design - #1
Cold Vapor Atomic Fluorescence Unit - In-
house design - #2
Cold Vapor Atomic Fluorescence Unit - In-
house design - #3
Perkin-Elmer Optima 3000 ICP-AES
GFAA Perkin-Elmer 5100 ZL graphite furnace
Dionex4500i, Ion Chromatograph, autosampler,
conductivity detector and UV/VIS Detector
Perkin-Elmer Model 5100 Zeeman-effect
graphite furnace
Perkin-Elmer Model 5000 with Zeeman-effect
graphite furnace
Cold Vapor Atomic Absorption Units - Lab Data
Control - #1
Cold Vapor Atomic Absorption Units - Lab Data
Control - #2
Cold Vapor Atomic Absorption Units - Lab Data
Control - #3
Thermo Separation Products (TSP) 3200
Automated Mercury Analyzer
Serial or ID
Number
WD08519
PT06550
PT08031
N830368
R101823
N830377
N830371
WB67819
N830372
WB73815
WA71764
WA26316
N822042
R101553
Location
MSL5
227
126
126
126
114
114
114
222
222
126
126
126
126
GFAA Graphite Furnace Atomic Absorption
HPLC High Performance Liquid Chromatograph
ICP-MS Inductively Coupled Plasma (Emissions) - Mass Spectrometry
ICP-AES Inductively Coupled Plasma -Atomic Emissions Spectrometry
PAH Polycyclic Aromatic Hydrocarbons
PCB Polychlorinated Biphenyls
TBT Tributyl Tin
UV Ultraviolet (light)
VIS Visible (light)
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<|Baiteiie
. . . Putting Technology To Work
Marine Sciences
Laboratory
QUALITY ASSURANCE MANAGEMENT PLAN
MARINE ECOLOGICAL PROCESSES GROUP
VOLUME 3
January, 2000
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Battelle Marine Sciences Laboratory
1529 West Sequim Bay Road
Sequim, Washington 98382
(360)683-4151
Battelle Marine Sciences Laboratory
MARINE ECOLOGICAL PROCESSES GROUP
QUALITY ASSURANCE MANAGEMENT PLAN
VOLUME 3
Concurrences and Approvals
D. Coffey Date
Quality Assurance Officer
360-681-3645
R.M. Thorn Date
Ecosystem Processes and Restoration
Technical Group Manager
360-681-3669
J.A. Ward Date
Ecotoxicology and Risk Assessment
Technical Group Manager
360-681-3669
R. M. Ecker
MSL Manager
360-681-3602
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Battelle Marine Sciences Laboratory
MARINE ECOLOGICAL PROCESSES GROUP
QUALITY ASSURANCE MANAGEMENT PLAN
VOLUME 3
Contents
Issue Date Rev.
1.0 SAMPLE CONTROL 1/2000 1
1.1 SAMPLE RECEIPT AND LOG-IN
1.2 SAMPLE TRACKING
1.3 SAMPLE ARCHIVING AND DISPOSITION
2.0 BIOLOGICAL PROCEDURES 1/2000 1
3.0 EQUIPMENT MAINTENANCE AND CALIBRATION 1/2000 1
3.1 EQUIPMENT CALIBRATION
3.2 PREVENTATIVE MAINTENANCE
4.0 QUALITY CONTROL 1/2000 1
4.1 HOLDING TIMES AND PRESERVATION
4.2 WATER QUALITY MONITORING
4.3 REFERENCE TOXICANT TEST
4.4 TOXICITY TESTS
4.5 CONTROL CHARTS
5.0 CORRECTIVE ACTION 1/2000 1
5.1 DEVIATIONS
5.2 CORRECTIVE ACTION FOR DQO EXCEEDENCES
6.0 DATA REPORTING 1/2000 1
7.0 REFERENCES 1/2000 1
APPENDICES
A LIST OF EQUIPMENT 1/2000 0
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Battelle Marine Sciences Laboratory Section: 1
Marine Ecological Processes Group Revision: 1
Quality Assurance Management Plan Date: January, 2000
Volume 3 Page 1 of 1
1.0 SAM RLE CONTROL
Sample handling and tracking with the Marine and Environmental Chemistry Group is covered by two
procedures: MSL-A-001, Sample Log-in Procedure and MSL-A-002, Sample Chain of Custody. The
processing of data collected from these activities discussed in procedure MSL-D-004, Data Reporting,
Reduction, Back Up, and Archiving. The following is a description of the procedure used for receipt and
tracking of samples, as well as chain of custody procedures.
1.1 SAM RLE RECEIPT AND LOG-IN
Samples or test organisms are logged in when received in the shipping area. If a Chain of Custody (CoC)
form accompanies the samples or test organisms, this form is used to document the date and time of
sample receipt and condition. If a CoC form is not shipped with samples, an MSL form will be initiated.
For test organisms, a shipping form can be signed and dated and the condition of organisms noted.
Cooler temperatures are taken and recorded on the CoC. The sample labels are compared to the CoC
and assigned an identification code plus sequential numbering of samples upon arrival. Chain of Custody
forms (if present) are compared to sample container labels and sample containers are inspected for
sample integrity (e.g., broken seals, broken or cracked containers, spilled samples, sample temperature).
Any discrepancies are brought to the attention of the Project Manager who is responsible for contacting
the client as well as returning a signed copy of the custody form. If the samples are not immediately
prepared for testing, they are stored at approximately 4 °C until used.
See Section 4.1 for holding times for suspended sediment, sediment, effluent, and elutriate samples.
1.2 SAM RLE TRACKING
Sample tracking, while samples are in the laboratory, is the responsibility of the individual Laboratory
Supervisors and the Project Manager. It is the responsibility of the Project Manager to ensure that the
samples are given the appropriate priority in scheduling and that the proper tests and methods are being
performed.
1.3 SAMPLE ARCHIVING AND DISPOSITION
The Project Manager is responsible for proper disposal of leftover samples material. Sample disposition
takes three forms: 1) dispose of by appropriate means depending on sample content; 2) return to client;
or 3) archive indefinitely. Unless arrangements have been made previously, the samples are generally
disposed of by Battelle. If samples are to be disposed of by Battelle, the Project Manager notifies the
Health and Safety Officer who then completes a Chemical Disposal Recycle Request form in accordance
with Subject Area, Managing Nonradioactive Chemical Waste. The Health and Safety Officer then must
determine the appropriate disposition and approve the form prior to sample disposition. A copy of this
form is maintained in the appropriate project central file.
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Battelle Marine Sciences Laboratory
Marine Ecological Processes Group
Quality Assurance Management Plan
Volume 3
Section: 2
Revision: 1
Date: January, 2000
Page 1 of 3
2.0 BIOLOGICAL PROCEDURES
All routine, repetitive biological laboratory activities are directed and controlled by internal Standard
Operating Procedures (SOP). Where possible, U.S. Environmental Protection Agency (EPA) and
consensus methods are used where the technique is applicable to the testing matrix and the overall
objective of the analysis. Table 2.1 lists the more routine toxicity tests performed at the MSL along with
the corresponding methods and SOPs associated with each of those tests. Table 2.2 lists the test
organisms and type of tests that are performed at the MSL.
All toxicity tests are controlled by some type of planning document, generally in the form of a Test Plan.
Other project planning documents such as work plans are occasionally used. Table 2.3 is an example of
a test conditions table that would normally be included in a Test Plan.
TABLE 2.1 List of Biological Tests and Associated Methods and SOPs
Test
Amphipod
Echinoderm, Embryo - Larval
Echinoderm, Fertilization
Echinoderm, Sediment
Fish, Acute
Bivalve, Sediment
Bivalve, Embryo - Larval
Inland Silverside, Acute
Inland Silverside, Chronic
Microtox
Microtox, Sediment
Mysid, Acute
Mysid, Chronic
Polychaetes, Sediment
Holmesimysis
Bioaccumulation
Method
EPA 600/4-90/027F; ASTM 1367-92
EPA 600/R-95/136; ASTM E-1 563-95
EPA 600/R-95/1 36 (Method 1008.0)
PSEP 1995
EPA 600/4-90/027F
PSEP 1995
EPA 600/R-95/136 (Method 1005.0); ASTM E-
724-94
EPA 600/4-90/027F
EPA 600/4-87/028; 600/4-91/003
Microbics Corporation
PSEP 1995
EPA 600/4-90/027F
EPA 600/4-87/028; 600/4-91/003
PSEP 1995
EPA 600/R-95/136; EPA/503/8-91/001
EPA 503/8-91/001
SOP
MSL-T-005
MSL-T-013
MSL-T-01 1
MSL-T-018
NA2
MSL-T-006
MSL-T-008
MSL-T-01 7
MSL-T-01 6
NA
NA
MSL-T-01 4
MSL-T-01 5
MSL-T-006
MSL-T-01 0
MSL-T-004
2 NA Not available
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Battelle Marine Sciences Laboratory
Marine Ecological Processes Group
Quality Assurance Management Plan
Volume 3
Section: 2
Revision: 1
Date: January, 2000
Page 2 of 3
TABLE 2.2 Test Organisms Commonly Used by the MSL
Appropriate Use of
Test Organism
Scientific Name
Acropora elseyi
Ammodytes hexapterus
Amphiprion clarkii
Arbacia punctulata
Capitella capitata
Champia pan/a
Citharichthys stigmaeus
Clupea pallasi (eggs, larvae,
adults)
Crassotrea gigas
Cyprinidon vulgaris
Daphnia spp.
Dendraster excentricus
Dinophilus spp.
Holmesimysis spp.
Isochrisis spp.
Selenastrum spp.
Menidia beryllina
Mysidopsis bahia
Mytilus spp.
Onchorhynchus spp.
Oryzias latipes
Penaeus spp.
Photobacterium phosphoreum
Strongylocentrotus purpuratus
Ampelisca abdita
Corophium spinicorne
Eohaustorius estuarius
Grandidierella japonica
Hyallella azteca
Leptocheirus plumulosus
Neanthes arenoceodentata
Panopea generosa
Rhepoxynius abronius
Abarenicola pacifica
Macoma nasuta
Nephtys caecoides
Nereis virens
Common Name
Coral
Sandlance
Clownfish
Sea Urchin
Polychaete
Algae
Sanddab
Pacific Herring
Oyster
Sheepshead Minnow
Water Flea
Sand Dollar
Polychaete
Mysid
Algae
Algae
Inland Silverside
Mysid
Mussel
Salmon
Medaka
Shrimp
Microtox
Sea Urchin
Amphipod
Amphipod
Amphipod
Amphipod
Amphipod
Amphipod
Polychaete
Clam, Geoduck
Amphipod
Polychaete
Clam, Bent Nose
Polychaete
Polychaete
Test Type
Acute
Acute
Acute
Acute/Chronic
Acute/Chronic
Acute/Chronic
Acute/Chronic
Acute/Chronic
Acute/Chronic
Acute/Chronic
Acute/Chronic
Acute/Chronic
Acute/Chronic
Acute/Chronic
Acute
Acute
Acute/Chronic
Acute/Chronic
Acute/Chronic
Acute/Chronic
Acute/Chronic
Acute
Acute/Chronic
Acute/Chronic
Acute
Acute
Acute
Acute
Acute
Acute/Chronic
Acute/Chronic
Acute
Acute
Acute
Chronic
Acute/ Chronic
Acute/ Chronic
Aquatic
Phase
^
^
^
^
^
^
^
^
^
^
^
^
Solid
Phase
^
^
^
^
^
^
^
^
^
^
Bioaccu-
mulation
^
^
^
^
^
^
^
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Battelle Marine Sciences Laboratory
Marine Ecological Processes Group
Quality Assurance Management Plan
Volume 3
Section: 2
Revision: 1
Date: January, 2000
Page 3 of 3
TABLE 2.3 Example of a Test Conditions Table Established for a Test Plan
Paramet
er
Test Type
Water Quality
Temperature
Salinity
PH
Dissolved Oxygen (DO)
Photoperiod
Test Chamber
Test Solution Volume
Life Stage of Organisms
# of Organisms per
Chamber
# of Replicate Chambers
per Treatment
Feeding
Reference Toxicant
Concentration Series
Dilution Water
SPP Prep Water
Dilution Series and
Concentrations3
Test Duration
Endpoint
Conditio
ns
M. beryllina
Water-column, static
H. costata
Water-column, static
M. galloprovincialis
Water-column, static
Temperature, pH, salinity, and DO will be monitored on all replicates on Day 0 and
Termination Day and in one replicate on remaining days
20 °C ± 2 °C
30%o ± 2%o
7.30-8.30 pH units
20 °C ± 2 °C
30%o ± 2%o
7.30 -8.30 pH units
>40% saturation; aeration provided to all chambers only
if DO is <40%
16L8D
500 mL glass jar
300 mL
< 5 days
10
5
Concentrated Artemia
nauplii, fed daily
CuatO, 150,200, 300,
400 ng/L
NH3atO, 10,30,60, 90
mg/L
0.45 urn-filtered Sequim
Bay seawater
dredging site water
0%, 10%, 50%, and 100%
SPP
96 h
Survival (LC^Q)
16L8D
400 mL glass jar
200 mL
5 days
10
5
Concentrated Artemia
nauplii, fed daily
CuatO, 50, 100, 150,200
ng/L
NH3atO, 20, 40, 60, 80
mg/L
0.45 urn-filtered Sequim
Bay seawater
dredging site water
0%, 10%, 50%, and 100%
SPP
96 h
Survival (LC^Q)
15°C±2°C
30%o ± 2%o
7.30-8.30 pH units
>60% saturation
16L8D
500 mL glass jar
300 mL
4 hours
4500 to 9000 embryos per
chamber
5
None
CuatO, 1, 4, 16, 64 ng/L
NH3atO, 1,4,8, 16, 32
mg/L
0.45 urn-filtered Sequim
Bay seawater
dredging site water
0%, 10%, 50%, and 100%
SPP
48 to 72 h
Survival (LCsg) and
normal development
(EC50)
A 1% SPP dilution may be added if low-level affects are anticipated.
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Battelle Marine Sciences Laboratory
Marine Ecological Processes Group
Quality Assurance Management Plan
Volume 3
Section: 2
Revision: 1
Date: January, 2000
Page 4 of 3
Test Acceptability
90% Survival in control
90% Survival in control
90% Survival and 70%
normal development in the
controls
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Battelle Marine Sciences Laboratory Section: 3
Marine Ecological Processes Group Revision: 1
Quality Assurance Management Plan Date: January, 2000
Volume 3 Page 1 of 1
3.0 EQUIPMENT MAINTENANCE AND CALIBRATION
Instruments used for routine measurements of chemical and physical parameters, such as pH, dissolved
oxygen (DO), temperature, salinity, and ammonia, are calibrated and standardized prior to use. All
calibration and preventative maintenance data are documented.
3.1 EQUIPMENT CALIBRATION
Calibration procedures are performed on each water quality instrument prior to use. Requirements for
levels and frequency of calibration are described in procedures specific to each water quality instrument:
• MSL-W-001 Calibration and Use ofpH Meters
• MSL-W-002 Calibration and Use of Dissolved Oxygen Meters
• MSL-W-003 Calibration and Use of Thermometers
• MSL-W-004 Calibration and Use of Refractometers
• MSL-W-007Routine Water Quality Measures for Toxicity Tests, and
• MSL-W-008 Determination of Ammonia
All calibration records are kept in the data files and must be traceable to date and standards. Corrective
actions to be taken when calibration criteria are not met, are described in section 5.0 of this document
and in the specific procedures.
3.2 PREVENTATIVE MAINTENANCE
Instruments are serviced regularly by trained in-house personnel. Written records of all instrument
maintenance, calibration, testing, and inspection are maintained. Maintenance records contain a
description of the operation or problem, the remedial action taken (if necessary), date, the person
responsible, and where applicable, documentation of the instrument's return to acceptable use.
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Battelle Marine Sciences Laboratory Section: 4
Marine Ecological Processes Group Revision: 1
Quality Assurance Management Plan Date: January, 2000
Volume 3 Page 1 of 2
4.0 QUALITY CONTROL
Quality control in toxicity tests consists of establishment of criteria for water quality, test acceptability,
reference toxicant tests, replication, control treatments, etc. Each toxicity test has its own quality control
criteria that are included as part of the test design established in project planning documents. See Table
2.3 for an example of an established test conditions table.
4.1 HOLDING TIMES AND PRESERVATION
Holding times for toxicity tests typically begin the day of sample collection. Holding times and
preservation requirements are listed in Table 4.1.
TABLE 4.1 Sample Holding Times and Preservation
Matrix
Sediment
Effluent
SPP/Elutriate
Preservation
4 °C ± 2 °C/dark/airtight
4 °C ± 2 °C/dark/airtight
4 °C ± 2 °C/dark/airtight
Holding Time
2 weeks is recommended; up to 6 weeks is acceptable
36 hours from sample collection 0)
24 hours from preparation
0) Every effort must be made to initiate the test with an effluent sample on the day of arrival in the
laboratory. The holding time should not exceed 36 hours unless a variance is approved by the client.
4.2 WATER QUALITY MONITORING
Acceptable criteria for water quality (pH, DO, salinity, temperature, ammonia) measurements are
established for each test and are identified in project planning documents, such as a test conditions table.
4.3 REFERENCE TOXICANT TEST
Reference toxicant tests (positive controls), are performed to demonstrate that test organisms used are
appropriately sensitive and that the laboratory procedures and techniques are appropriate and
repeatable. A reference toxicant test is normally performed with each test, or at a minimum, once with
each batch of test organisms.
4.4 ACCEPTABILITY OF TOXICITY TESTS
Each test method contains specific test acceptability criteria for controls, reference toxicant results, test
conditions, etc. See Section 5.2 for corrective action when criteria are not met.
An individual test may be conditionally acceptable if temperature, DO, or other specified conditions fall
outside specifications, depending on the degree of the departure from the specified conditions and the
overall impact on the test. The acceptability of the test will depend on the professional judgment of the
laboratory supervisor and project manager. Any deviation from test specifications must be noted when
reporting data.
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Battelle Marine Sciences Laboratory Section: 4
Marine Ecological Processes Group Revision: 1
Quality Assurance Management Plan Date: January, 2000
Volumes Page 2 of 2
4.5 CONTROL CHARTS
Control charts are used to asses QC efforts in the laboratory by graphically presenting the variability over
time of the various analyses performed. Details of the control charting process used at the MSL are
covered in procedure MSL-Q-006, Procedures for Control Charting. A brief description of the methods
used, the criteria used for assessing out of control events, and the administration of the control charts is
presented here.
4.5.1 Control Chart Methodology
The control charts are based on normally distributed measurements and short-term variation. Precision is
charted overtime by calculating an 1050 and EC^Q for the reference toxicity tests and then establishing
upper and lower warning and control limits. The warning limit is defined as ±2a and the control limits are
defined as ±3a. A minimum of 10 points, but preferably 20, are used to set the initial control limits for
each parameter.
Reference toxicity tests are run concurrently with the majority of toxicity tests. Separate control charts are
maintained for each reference toxicant for each species.
4.5.2 Criteria for Assessing Out of Control Events
The laboratory process for a particular analyte will be considered out of control whenever, as a minimum,
any one of the following conditions is demonstrated:
1. Any one point is outside of the control limits;
2. Any three consecutive points are outside of the warning limits;
3. Any eight consecutive points are on the same side of the centerline;
4. Any six consecutive points are such that each point is higher or lower than its immediate
predecessor;
5. Any obvious cyclic pattern is seen in the points.
When any one of the situations listed above occurs, it is the responsibility of the appropriate laboratory
supervisor to notify the MSL QA Officer and Project Manager so that appropriate corrective actions can
be determined and the situation documented by filling out a Quality Problem Report form and attaching a
copy to the control chart. Details regarding the procedure and information required on a Quality Problem
Report form are described in procedure MSL-A-005, Deviations from Established Requirements.
4.5.3 Administration of Control Charts
A minimum of one reference toxicant test is run with each toxicity test or at a minimum, once with each
batch of test organisms. Therefore, control results will be tracked after no more than 20 sequential
sample analyses. It is the responsibility of Project Managers to provide data after each test to the control
chart administrator. Control charts are produced on at least a quarterly basis by the control chart
administrator, and this information is passed on to the Laboratory Supervisor and Project Managers, as
appropriate. If specific projects require it, more frequent updates and reviews of control charting will be
performed.
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Battelle Marine Sciences Laboratory Section: 5
Marine Ecological Processes Group Revision: 1
Quality Assurance Management Plan Date: January, 2000
Volume 3 Page 1 of 2
5.0 CORRECTIVE ACTION
The need for corrective action may be identified by the technical staff during the course of their work, and
through assessments or data audits. Each individual performing laboratory or data processing activities
will be responsible for notifying the appropriate supervisory personnel of any circumstance that could
affect the quality or integrity of the data.
5.1 DEVIATIONS
All deviations from approved procedures, project planning documents or this QAMP will be documented.
Depending on the severity of the deviation, the MSL QA Officer and the Project Manager will determine
how the deviation will be documented through
use of a Quality Problem Report (QPR) form (Exhibit 12.1 of Volume 1) per MSL-A-005,
Deviations from Established Requirements;
documented as part of the narrative summary provided to the customer, and
documented directly on the raw data.
The following are guidelines for resolving deviations identified within the Marine Ecological Processes
Group:
The response to technical problems in the field, such as broken equipment, weather delays, or
inability to sample specific locations, is the responsibility of Field Task Leader. This individual
determines the appropriate action, in conjunction with the Project Manager and/or client
representative.
The need for corrective action at the laboratory level, for events such as broken samples or
improper instrument calibration, will be addressed by the Laboratory Supervisor or Project
Manager.
Corrective actions for results outside established DQOs are addressed in section 5.2.
5.2 CORRECTIVE ACTION FOR DQO EXCEEDENCES
DQO deviations are defined as deviations that are outside of test specific criteria addressed in Section 2.
Out-of-compliance data may be due to deviations from test protocols or deficiencies associated with
toxicological tests. Examples of DQO deviations in toxicological tests are shown in Table 5.1. Poor
control survival, out-of-range water quality measurements, out-of-range reference toxicant results, or
mishandling of test organisms or test sediment/water may result in a decision to retest; minor episodes of
out-of-range water quality conditions, incomplete test monitoring information, or broken or misplaced test
containers may only require that data be flagged and qualified. A summary of typical test deviations and
suggested corrective actions is presented in Table 5.1.
Corrective actions relative to toxicological tests may include, but are not limited to, review of data and
calculations, flagging and/or qualification of suspect data, or possible retesting. A review that provides a
preliminary check of all "out of limit" events should be performed as soon as the data for a given
parameter or test is tabulated and verified for accuracy.
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Battelle Marine Sciences Laboratory
Marine Ecological Processes Group
Quality Assurance Management Plan
Volume 3
Section: 5
Revision: 1
Date: January, 2000
Page 2 of 2
TABLE 5.1 Summary of Test Deviations and Suggested Responses
Suggested Responses
Deviation
Lack of test array randomization
Testing was not blind
Required references or controls were not tested
Test chambers not identical
Test container(s) broken or misplaced
Test organism mortality in controls exceeds acceptable limits
Excessive test organism mortality in a single replicate of a control
Test organisms were not randomly assigned to test chambers
Test organisms were not from the same population
Test organisms were not all from the same species (or species
complex)
Test organism holding times were exceeded
Test organism sensitivity out of acceptable control chart range
Water quality parameters consistently out of range
Brief episodes of out-of-range water quality problems
Test monitoring was not documented
Test monitoring was incomplete
Sediment/testing water holding times were exceeded
Sediment/testing water storage conditions deviated from acceptable
ranges
Retesting
Required
S
S
S
S
S
S
S
S
S
S
V^(2)
Retesting May
Be Required
(1)
S
S
S
S
S
S
^(2)
0) If retest not completed, data may have to be qualified.
(2) Unless evidence is provided to show that sediment quality (geochemistry and contaminant
levels) has not been affected
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Battelle Marine Sciences Laboratory Section: 6
Marine Ecological Processes Group Revision: 1
Quality Assurance Management Plan Date: January, 2000
Volume 3 Page 1 of 1
6.0 DATA REPORTING
All reported data will be validated in accordance with Volume 1, Section 10 of this QAMP. Reduced or
summarized data from the toxicity tests will be reported to the client. The following is a list of data that is
typically reported.
description of test sediment or water; it's handling, manipulation, storage, and disposal
description of test organisms; scientific name, age, size (when applicable), life stage, source, and
their handling, culturing, and acclimation
toxicity test method used
date and time test started and terminated
percent survival for each test treatment
control treatment survival
results of water quality measurements (may be reported as mean, range of measurements, number
of times criteria limits were exceeded)
number of organisms used per test chamber
number of replicate test chambers per treatment
summary of statistical endpoints (mortality, growth, LC50, no observed effect concentration [NOEC],)
gender determinations (when appropriate)
growth (when appropriate)
reproduction (when appropriate)
summaries of biological observations
summaries of reference toxicant evaluations
summary of any problems encountered and corrective actions
description of any deviations from prescribed laboratory protocols
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Battelle Marine Sciences Laboratory
Marine Ecological Processes Group
Quality Assurance Management Plan
Volume 3
Appendix A
Revision: 1
Date: March, 2000
Page 1 of 2
7.0 REFERENCES
ASTM 1367-92
ASTM E-724-94
ASTM E-1563-95
EPA 503/8-91/001
EPA 600/4-87/028
EPA 600/4-90/027F
EPA 600/4-91/003
EPA 600/R-95/136
PSEP 1995
1992 - Standard Guide for Conducting 10-Day Static Sediment Toxicity Tests
with Marine and Estuarine Amphipods. American Society for Testing and
Materials, Philadelphia, Pennsylvania.
1994 - Conducting Static Acute Toxicity Tests Starting with Embryos of Four
Species of Saltwater Bivalve Mollusks. American Society for Testing and
Materials, Philadelphia, Pennsylvania.
1995 - Conducting Static Acute Toxicity Tests with Echinoid Embryos.
American Society for Testing and Materials, Philadelphia, Pennsylvania.
Evaluation for Dredged Material Proposed for Ocean Disposal - Testing
Manual. U.S. Environmental Protection Agency (EPA) and U.S. Army Corps
of Engineers. U.S. EPA, Office of Water, Washington D.C.
Short-Term Methods for Estimating the Chronic Toxicity of Effluents and
Receiving Waters to Marine and Estuarine Organisms. May 1988. U.S. EPA.
Office of Research and Development, Cincinnati, Ohio.
Methods for Measuring the Acute Toxicity of Effluents and Receiving Waters
to Freshwater and Marine Organisms. Fourth Edition. September 1991. U.S.
EPA. Office of Research and Development, Washington, D.C.
Short-Tern Methods for Estimating The Chronic Toxicity of Effluents and
Receiving Water to Marine and Estuarine Organisms. Second Edition. July
1994. U.S. EPA. Office of Research and Development, Washington, D.C.
Short-Term Methods for Estimating the Chronic Toxicity of Effluents and
Receiving Waters to West Coast Marine and Estuarine Organisms. August
1995. U.S. EPA. Office of Research and Development, Washington DC.
Puget Sound Estuary Program (PSEP). 1995. Recommended Guidelines for
Conducting Laboratory Bioassays on Puget Sound Sediment. Prepared for
the U.S. EPA, Region 10, Seattle, WA..
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Battelle Marine Sciences Laboratory
Marine Ecological Processes Group
Quality Assurance Management Plan
Volume 3
Appendix A
Revision: 1
Date: March, 2000
Page 1 of 2
APPENDIX A
MARINE ECOLOGICAL PROCESSES EQUIPMENT LIST
The following is a list of the major pieces of equipment in the MSL bioassay wet laboratory. This list is
intended to demonstrate the types of equipment available and will be revised when the QAMP is revised,
but not each time equipment or instruments are added or deleted.
Water Quality Measures
Ammonia
Combined Measures
DO, pH, T, salinity
Individual Measures
T
Salinitiy
DO Meter
pH Meter
Other Equipment
Light Intensity
Microscopes
Centrifuge
Orion 900A ph Meter
Orion 900A ph Meter
Various ammonia probes
YSI Meter Environmental
Monitoring System 610-DM/ Data
Logger
Sonde 600 probe
NIST-traceable thermometer
Fluke 52 K/J thermometer
Fluke 52 K/J thermometer
Fluke 52 K/J thermometer
Fluke 52 K/J thermometer
Fluke 52 K/J thermometer
Fluke 52 K/J thermometer
Fluke 52 K/J thermometer
Reichert Refractometer
YSI Model 57
YSI Model 57
Orion SA250
Orion SA250
Orion SA250
Licor 185-A
Extech Instruments Light Meter
407026
Leica Wild M3Z
Wild Heerbrugg 28003
Nikon Labophot
Bock Extractor
SN 039388
SN 039548
312188R
SN 991 10867
A-09618
4986664
4655092
480056
5000160
5425282
5305158
5025363
10212-8
10392-8
37222
15679(TBT)
7335
7428
6478
E002938
Z-050-262
28003
100476-89
9183-P
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Battelle Marine Sciences Laboratory
Marine Ecological Processes Group
Quality Assurance Management Plan
Volume 3
Appendix A
Revision: 1
Date: March, 2000
Page 1 of 2
Weight/Balances
AND FX3000
AND FX3200
ANDER120A
Mettler PE3600
Mettler P2010
Mettler AE163
Ohaus DS4
Ohaus DS4
5213125
5314791
3502726
D07416
633034
QC03126
60919
77927
0-3000 g
0-3000 g
0-100 g
0-3000 g
0-2000 g
0-150 g
0-20 g
0-20 g
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Attachment 6
SERF Comprehensive QA Plan (Analytical and Mercury Laboratories)
-------
COMPREHENSIVE QUALITY ASSURANCE PLAN
Prepared by and for:
Southeast Environmental Research Program
Florida International University
Miami, Florida
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Section 1
Date: 11/25/98
Page 1 of 1
COMPREHENSIVE QUALITY ASSURANCE PLAN
Prepared by and for:
Southeast Environmental Research Program
Florida International University
OE148
University Park
Miami, Florida 33199
(305) 348-3095
FAX: (305) 348-4096
Ronald D. Jones, Ph.D. Date
SERF Director and Professor
Doraida Diaz Date
SERF Quality Assurance Officer
Laboratory Certification Program Date
Department of Health
1- 1
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TABLE OF CONTENTS
Section Title
1.0 Title Page
2.0 Table of Contents
3.0 Statement of Policy
4.0 Organization and Responsibility
4.1 Capabilities
4.2 Key Personnel
5.0 Quality Assurance Obj ectives (Preci si on, Accuracy,
and Method Detection Limits)
6.0 Sampling Procedures
21
Section 2
Date: 11/25/98
Page 1 of 5
Date
11/25/98
11/25/98
11/25/98
11/25/98
11/25/98
11/25/98
6.1 Sampling Capabilities
6.2 Sampling Equipment and Cleaning Procedures
6.2.1 Sampling Equipment
6.2.2 Sampling Equipment Laboratory Cleaning Procedures
6.2.3 Sampling Equipment Field Cleaning Procedures
6.3 Sample Containers and Cleaning Procedures
6.3.1 Sample Containers
6.3.2 Sample Container Cleaning
6.4 Sampling Protocols
6.4.1 Surface Water Sample Collection
6.4.2 Field Measurements
6.4.3 Pore Water Sample Collection
6.4.4 Soil and Sediment Sample Collection
6.4.5 Tissue Sample Collection
6.5 Sample Documentation and Identification
6.6 Documentation
6.7 Sample Preservation, Holding Times and Sample Volume
6.8 Sample Dispatch
6.9 Reagent Storage and Waste Disposal
6.9.1 Reagent Storage
6.9.2 Waste Disposal
2- 1
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Section 2
Date: 11/25/98
Page 2 of 5
Section Title Pages Date
7.0 Sample Custody 21 11/25/98
7.1 Field Custody
7.2 Laboratory Custody
7.3 Electronic Data Records
8.0 Analytical Procedures 5 11/25/98
8.1 Laboratory Method Modifications
8.1.1 Autoanalyzer Methods
8.1.2 Total Nitrogen in Water S ampl es
8.1.3 Alkaline Phosphatase Activity
8.1.4 Total Phosphorus
8.1.5 Silica
8.1.6 Chlorophyll a
8.2 Laboratory Operations
8.2.1 Laboratory Glassware Cleaning
8.2.2 Reagent and Chemical Storage
8.2.3 Waste Disposal
9.0 Calibration Procedures and Frequency 17 11/25/98
9.1 Instrument Lists
9.2 Standard Receipt and Traceability
9.3 Standard Sources and Preparation
9.4 Instrument Calibration
9.4.1 Field Instruments
9.4.1.1 Salinity/Conductivity/Temperature
9.4.1.2 pH
9.4.1.3 Dissolved Oxygen
9.4.1.4 Turbidity Meter Calibration
9.4.1.5 Light Meter Calibration
9.4.1.6 CTD Calibration
9.4.2 Laboratory Instruments
9.4.2.1 Alpkem Rapid Flow Autoanalyzer
9.4.2.2 Total Organic Carbon Analyzer
9.4.2.3 Total Nitrogen Analyzer
9.4.2.4 Fluorometer
9.4.2.5 Carlo Elba
9.4.2.6 Balances
9.4.2.7 Pipettes
2-2
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Section
Title
Section 2
Date: 11/25/98
Page 3 of 5
Date
10.0
11.0
Preventive Maintenance
10.1 Routine Maintenance
10.2 Maintenance Documentation
10.3 Contingency Plans
Quality Control Checks and Routines to Assess
Precision Accuracy and Calculation of MDLs
11.1 Field QC Checks
11.2 Laboratory QC Checks
11.3 Routine Method Used to Assess Precision
and Accuracy
11.4 Method Detection Limits
11/25/98
11/25/98
12.0
13.0
Data Reduction, Validation, and Reporting
12.1 Data Reduction
12.2 Data Validation
12.3 Data Reporting
12.4 Data Storage
Corrective Action
11/25/98
11/25/98
14.0
15.0
Figure
No.
Performance and System Audits
14.1 Field Audits
14.2 Laboratory Audits
Quality Assurance Reports
Figure
Title
LIST OF FIGURES
Page
No.
11/25/98
11/25/98
Date
4.1 SERF Organization Chart
7.1 Centralized Sample Receipt Log-in Form
7.2 Chain-of Custody/Sample Log-in Form
11/25/98
7.3 Surface Water Field Data Sheet
7.4 Lysimeter Field Data Sheet
7.5 Soil/Sediment Field Data Sheet
11/25/98
7.6 Tissue Field Data Sheet
11/25/98
4-2
7-3
7-5
7-6
7-4
7-7
11/25/98
11/25/98
11/25/98
11/25/98
2-3
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Section 2
Date: 11/25/98
Page 4 of 5
7.7 Field Instrument Sheet 7-9 11/25/98
7.8 Sample Checklist 7-10 11/25/98
7.9 TOC-5000 Log Book 7-11 11/25/98
2-4
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Figure Figure
No. Title
7.10 RF A Nutri ent Analyzer Log B ook
7.11 RFA Total Phosphorus Log Book
7.12 RFA Silica Log Book
7.13 Antek Nitrogen Analyzer
7.14 Fluorometer
7.15 Total Phosphorus Preparation Form
7.16 Total Nitrogen Preparation Form
7.17 Refrigerator/Freezer Temperature Log
7.18 Oven Temperature Log
11/25/98
9.1 Standard and Reagent Logb ook
9.2 Balance Calibration Log
9.3 Pipette calibration Log
9.4 Daily Pipette Calibration Instructions
12.1 Final Data Report
14.1 Field Audit Checklist
14.2 Laboratory Audit Checklist
LIST OF TABLES
Table Table
No. Title
5.1 Quality Assurance Obj ectives
Field Measurements
5.2 Sample Preparation Methods
5.3 Quality Assurance Obj ectives
Laboratory Measurements
6.1 SERF Sampling Capabilities
6.2 Field Sampling Equipment
6.3 Field Equipment Checklist
6.4 Sample Containers, Sizes, Preservation
Holding Times
6.5 Field Reagent Storage
8.1 Reagent and Chemical Storage
11/25/98
9.1 Instrument List
9.2 Standard, Source, Preparation, and Storage
9.3 Field Instrument Calibration
9.4 Laboratory Instrument Calibration
10.1 Laboratory Equipment Preventive Maintenance
11/25/98
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Date: 11/25/98
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Section 2
Date: 11/25/98
Page 6 of 5
10.2 Field Equipment Preventive Maintenance 10-3 11/25/98
11.1 Quality Control Checks 11 -2
11/25/98
2-6
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Table
No.
13.1
13.2
Table
Title
Correi
Correi
Corrective Actions for the Laboratory
Correction Actions for the Field
Page
No.
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Section 2
Date: 11/25/98
Page 7 of 5
Date
11/25/98
11/25/98
APPENDICES
Appendix Appendix Title
A
B
D
Method Validation for Micromolar Concentrations
of Total Nitrogen in Natural Waters
Results of QC Check Samples for Total Phosphorus
in Soils/Tissue.
Solorzano L. and J.H. Sharp. 1980. Determination of
Total Dissolved Phosphorus and Paniculate Phosphorus
in Natural Waters. 25(4). pp. 754-758.
The Effect of Frozen Storage of Open-Ocean Seawater
Samples
An Equivalency Study on the Preservation of Total
Organic Carbon Samples With and Without Acid
No. of
Pages
18
Date
4/25/94
16
11/01/94
11/16/95
11/16/95
SERF Standard Operating Procedures
46
12/04/97
2-7
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Section 3
Date: 11/25/98
Page 1 of 1
3.0 Statement of Policy
The Southeast Environmental Research Program (SERF) is made up of university research
professors and their staff from Florida International University (FIU). FIU is one of the nine State
University System (SUS) universities and all SERF personnel are employees of the State of Florida.
The goals of SERF are to advance scientific research, the understanding of biogeochemical
processes, and to publish results in high quality refereed scientific publications. Pertinent to these
goals, is the need to collect accurate, high quality, and reproducible data, which can only be
obtained through strict internal and external quality assurance practices. SERF is committed to
follow sound quality assurance/quality control (QA/QC) practices for the purposes of producing
verifiable quality data.
The professors associated with SERF have been involved in monitoring surface water quality in
Florida Bay, Biscayne Bay, the Everglades, other areas of South Florida, and the world's oceans for
over 15 years. The data collected by SERF to date is considered to be of excellent quality, and has
been used by FDEP, South Florida Water Management District (SFWMD), the National Park
Service, Department of Interior, Department of Justice, and the EPA.
Research conducted by SERF is mainly focused on water quality nutrients (nitrogen and
phosphorus), which are important influences to South Florida's ecosystem. In support of
interpreting the nutrient data, SERF also measures other water quality and physiochemical
parameters such as salinity, temperature, turbidity and chlorophyll. Nutrients commonly measured
by SERF typically occur in surface waters of South Florida at relatively low concentrations (parts
per billion). Often the nutrients occur at concentrations below typical contract laboratory method
detection limits; however, small changes in these surface water nutrients can have a significant
effect on the ecology of South Florida. As a university research facility, SERF is committed to
obtaining the most accurate measurements as well as obtaining the lowest possible method
detection limits for these nutrients. To obtain low level detection and calibration, SERF has had to
modify and optimize analytical methods and equipment for detection of nutrients in freshwater,
brackish waters, and seawater. SERF has also had to modify equipment decontamination
procedures to ensure contamination-free sampling for low concentrations of nutrients. Many of the
analytical and sampling methods employed by SERF have been included in scientific publications.
This Comprehensive Quality Assurance Plan (CompQAP) describes the sampling and analytical
methods used by SERF personnel to ensure the integrity and accuracy of field and laboratory data
collection and analysis. The CompQAP has been prepared in accordance with the Florida
Department of Environmental Protection (FDEP) guidelines. Project-specific objectives and
sampling protocols will be described in more detail in Quality Assurance Project Plans (QAPPs).
3- 1
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Section 4
Date: 11/25/98
Page 1 of 2
4.0 Organization and Responsibility
4.1 Capabilities
The research group at SERF conducts both field sampling and laboratory analysis. SERF performs
field sampling of surface water, pore water (water in soils and sediments), soils, sediments, and
plant tissue. Analyses performed in the laboratory include inorganic nutrients, organic nutrients,
and physical parameters of surface waters, ground waters, pore waters, soils, sediments, and plant
tissue. SERF is fully capable of analyzing nutrients in fresh water, brackish water and sea water.
4.2 Key Personnel
Dr. Ronald D. Jones is the director of the Southeast Environmental Research Program (SERF) at
Florida International University (Figure 4-1). As director, Dr. Jones supervises all laboratory and
field operations and personnel. He provides a final review of all data and documents produced.
Mr. Pete Lorenzo is the chief laboratory chemist and the field operation manager. In this role, he is
responsible for the proper execution of the daily field and laboratory operations. He provides
scheduling of field and laboratory personnel, and is responsible for the collection, custody, storage,
and analysis of all samples.
Ms. Pura Rodriguez de la Vega is the SERF Data manager. She is responsible for checking all the
data produced in the lab according with QC criteria and for the preparation of the final data reports.
Ms. Doraida Diaz is the SERF QA officer. She is responsible for preparing all QAPs, and
overseeing that the field and laboratory operations are performed according to the QAPs. She is
also responsible for a final check of all data produced with respect to QC criteria, initiating and
conducting audits, and preparing QA reports.
Sample collection, analysis, and data entry is performed by technicians and graduate students at
SERF under the direction of Dr. Jones and Mr. Lorenzo. They are trained in the proper procedures
for sample collection, preservation, transportation, and analysis.
4- 1
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Section 4
Date: 11/25/98
Page 2 of 2
Figure 4.1 SERF Organization Chart
Dr Ronald D. Jones
Director
Field Operations
Laboratory Operations
Pete Lorenzo
Field Operation
Manager
Technicians:
Jeff Absten
Sean Gilhooly
Bill Gilhooly
Braxton Davis
Sean O'Brian
Steve Parthemore
Cristina Covas
Pierre Sterling
Giselle Bansee
Todd Shipman
Frank Tarn
Doraida Diaz
QA/QC Officer
Pura Rodriguez de
la Vega
Data Manager
Pete Lorenzo
Chief Lab.
Chemist
Technicians:
Jeff Absten
Sean Gilhooly
Bill Gilhooly
Braxton Davis
Sean O'Brian
Steve Parthemore
Cristina Covas
Pierre Sterling
Giselle Bansee
Todd Shipman
Frank Tarn
Elaine Kotler
4-2
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Section 5
Date: 11/25/98
Page 1 of 5
5.0 Quality Assurance Objectives (Precision, Accuracy, and
Method Detection Limits)
All sampling and analytical work is performed to obtain accurate, reproducible data using
consistent standard curves and extremely low method detection limits. The SERF laboratory is
equipped with state-of-the art analytical equipment. All students and staff are trained on proper use
of the equipment and supervised during all phases of sample collection and analysis by Dr. Jones.
In general, the people responsible for sample collection are also performing the laboratory analysis
of the samples, thereby, maintaining control of all aspects of sample collection and analysis.
Parameters routinely measured in the field are listed on Table 5.1 and include temperature,
salinity/conductivity, dissolved oxygen, pH, and turbidity. Matrices analyzed include surface
waters, pore waters, ground waters, soils, sediments and plant tissue. Laboratory precision,
accuracy, and method detection limits (MDLs) for specific parameters in each matrix are
summarized in Table 5.2. The listed precision, accuracy, and MDLs are determined using in-house,
historically generated data.
Analytical procedures performed by SERF are listed in Table 5.2. In general, SERF follows
analytical procedures described in Methods for Chemical Analyses of Water and Wastes, EPA-
600/4-79-020, Revised March 1983 and in Standard Methods for the Examination of Water and
Wastewater, 18th Edition, 1989. For solid samples SERF follows the methods described in the
Annual Book of ASTM Standards, Volume 4.08, Procedures for Handling and Chemical Analysis
of Sediments and Water Samples, May 1981, EPA/CE-81-1 and Methods of Soil Analysis, Part 2-
Chemical and Microbiological Properties, Second Edition, American Society of Agronomy, Inc.
Soil Science Society of America, Inc., 1982.
5- 1
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TABLE 5.1
Quality Assurance Objectives
Field Measurements
Section 5
Date: 11/25/98
Page 2 of 5
Method No.
EPA 170.1
SM 2520 (B)
EPA 120.1
EPA 360.1
EPA 150.1
EPA 180.1
Photosynthetically Active
Radiation (a)
Pressure Transducer,
Depth Sounder (b)
Matrix
Surface Water,
Pore Water
Surface Water,
Pore Water
Surface Water,
Pore Water
Surface Water,
Pore Water
Surface Water,
Pore Water
Surface Water,
Pore Water
Surface Water
Surface Water
Parameter
Temperature
Salinity
Conductivity
Dissolved Oxygen
pH
Turbidity
Light Attenuation Coefficient
Depth
EPA = U.S. Environmental Protection Agency. Methods for Chemical Analysis
Water and Wastes, Revised March 1983.
SM = Standard Methods for Examination of Water and Wastewater, 1989, 18th
Edition.
ASTM= Annual Book of ASTM Standards, Vol 11.01.
EPA/Corps of Engineers, Procedures for Handling and Chemical Analysis of Sediments and Water
Samples. May 1981. EPA/CE-81-1 Page 3-52.
(a) See Section 6 for method details.
(b) Pressure transducer method is used on the SEA-BIRD CTD; depth sounder method is used when
the CTD is not used.
5-2
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TABLE 5.2
Sample Preparation Methods
Section 5
Date: 11/25/98
Page 3 of 5
Sample Prep. Method
Number
ASTMD 463 8(7.4)
ASTMD 4638(9.2)
Description
Evaporation
Dry Ashing
Matrix
Water
Water, Soil,
Sediment, Tissue
Sample Prep, for
these Methods
EPA 365.1
EPA 365.1
Method References:
EPA Methods for Chemical Analysis of Water and Wastes, Revised March 1983.
Annual Book of ASTM Standards, Vol 11.01.
Solorzano L. and J.H. Sharp. 1980. Determination of Total dissolved Phosphorus and Particulate
Phosphorus in Natural Waters. Limnol. Oceanogr. 25(4), pp. 754-758. See Appendix B.
5-3
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TABLE 5.3
Quality Assurance Objectives
Laboratory Measurements
Section 5
Date: 11/25/98
Page 4 of 5
Analyte
Ammonium-N
Nitrite - N
Nitrate - N
Soluble Reactive
Phosphate
Dissolved Silica
Total
Nitrogen
Total
Phosphorus
Total Organic
Carbon,
Dissolved
Organic Carbon
Chlorophyll a
Alkaline
Phosphatase
Activity
Bulk Density
Total Nitrogen
Total Carbon
Moisture Cont./ %
Solids
Ash Free Dry
Weight
Total Phosphorus
(m)
Matrix
SW,
GW,PW
SW,
GW,PW
SW,
GW,PW
SW,
GW,PW
SW, GW, PW
SW, GW, PW
SW,
GW,PW
SW, GW, PW
SW
SW
S, SED
S, SED, T
S, SED
S, SED
S, SED, T
Analytical
Method
EPA350.1(d)
EPA 353.2 (d)
EPA 353.2 (d)
EPA365.1(d)
EPA370.1(d)
(g)
EPA 365.1(e)
EPA415.1(h)
SM 10200H (i)
CD
ASTMD4531-86
MSA 29-2.2.5(1)
EPA/CE-81-1
SID, S3, 2
ASTMD22 16-80
ASTMD2974-87
EPA365.1(e)
Precision
(RPD) (a)
<20 %
<20 %
<20 %
<20 %
<20 %
<20 %
<20 %
<20 %
<20 %
<20 %
<20 %
<20 %
<20 %
<20 %
<20 %
Cone.
Range (b)
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
Accuracy
(%R) (a)
78-128
84-107
84-107
78-110
85-123
75-108
79-125
85-118
80-120
80-120
80-120
80-120
80-120
80-120
96-118
MDL (c)
(|imol/l,
unless noted)
0.06
0.05
0.02
0.02
0.05
0.05
0.02
0.04
0.07 (i)
2.1
0.01
0.01
10.00
NA
0.01
|jmol/l.hr -1
NA
NA
NA
1.7|jrnol/kg(k)
0.97 |jrnol/kg (k)
MDL (c)
(mg/1,
unless noted)
0.0008
0.0007
0.0003
0.0003
0.0007
0.0007
0.0006
0.0012
0.002 (f)
0.03
0.0003
0.0003
0.12
0.0001
NA
0.001 g/cc (k)
10mg/kg(l)
3 % (k)
0.02 mg/kg (k)
0.03 mg/kg (k)
5-4
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Section 5
Date: 11/25/98
Page 5 of 5
TABLE 5.3 Continued
Quality Assurance Objectives
Laboratory Measurements
(a) QA targets for precision and accuracy determined from in-house, historical data.
(b) Concentration Range: L = lower 20% of linear calibration or range.
M = from 20% to 80% of linear calibration range.
H = The upper 80% of linear calibration range.
(c) Method Detection Limits (MDLs) determined by EPA procedure described in 40 CFR Part 136, Appendix B, revision 1.11.
(d) Ammonium, nitrite, nitrate, soluble reactive phosphate, and silica of water samples are determined on an ALPKEM 305
Rapid Flow Analyzer and ALPKEM 501 autosampler.
(e) Total phosphorus of water and solid samples is determined on an ALPKEM 305 Rapid Flow Analyzer and ALPKEM
501 autosampler using the automated method of EPA 365.1, with the samples prepared according to a modification of
Solorzano and Sharp (1980; see Section 8.1.4 and Appendix B), instead of persulfate digestion.
(f) Theoretical MDL for the method. The actual MDL for silica for our laboratory has not yet been determined.
(g) Total Nitrogen of water samples is determined using an ANTEK Instruments Model 7000N Total Nitrogen Analyzer.
Method validation package included as Appendix A.
(h) Total Organic Carbon of water samples is determined by high temperature catalytic combustion with a Shimadzu 5000
Total Organic Carbon Analyzer with autosampler.
(i) Chlorophyll a is determined using a modification of SM 10200H as outlined in Section 8.1.6.
(]) The analytical method for Alkaline Phosphatase Activity is currently under experimental research. This method is
described in more detail in Section 8.
(k) Values represent minimum reportable quantities.
(1) Total nitrogen and total carbon of solid samples determined using a Carlo Erba Model 1500 N/C analyzer. Minimum
reportable quantity of 0.01 % based upon a sample size between 0.5-100 mg.
(m) The results of quality control check samples are summarized in Appendix B.
SW-Surface Water; PW-Pore Water; GW-Ground Water; S-Soils; SED-Sediments; T-Tissue
Method References:
EPA Methods for Chemical Analysis of Water and Wastes, Revised March 1983.
EPA/Corps of Engineers, Procedures for Handling and Chemical Analysis of Sediments and Water Samples. May 1981. EPA/CE-81-1.
Standard Methods for the examination of Water and Wastewater, 17th edition. 1989.
Annual Book of ASTM Standards, Method D4531-86, Volume 04.08, 1989.
Methods of Soil Analysis, Part 2-Chemical and Microbiological Properties, Second Edition, 1982.
5-5
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Section 6
Date: 11/25/98
Page 1 of 21
6.0 Sampling Procedures
6.1 Sampling Capabilities
SERF performs sampling of surface water, pore water, soil and sediments, and plant tissue for
determination of the field and laboratory analytical parameters listed in Table 6.1.
6.2 Sampling Equipment and Cleaning Procedures
6.2.1 Sampling Equipment
Preceding a trip to the field, the personnel responsible for collection of the samples are required to
ensure that everything is prepared for the expedition. This entails making sure that all sample
containers are clean and properly labeled, and that all sampling and field measurement equipment
are properly cleaned, charged and functioning within acceptable limits. Table 6.2 lists the field
sampling equipment used for sampling each matrix, while Table 6.3 is an equipment checklist
prepared for the sampling team.
In general, sampling equipment used is dictated by a specific project. Surface water sampling
equipment may include plastic sample containers, syringes, filter holders, and buckets. Pore water
samples are collected from lysimeters using a peristaltic pump or a syringe equipped with tygon
tubing. Soil and sediment samples are collected using plastic core tubes or by hand. Tissue
samples are generally collected by hand and stored in plastic, sealable bags.
6.2.2 Sampling Equipment Laboratory Cleaning Procedures
All reusable field sampling and measurement equipment is subjected to precleaning in the
laboratory prior to transportation to a field site according to the following procedures:
a. Wash all surfaces thoroughly with hot, tap water. Use a brush to remove large or
stubborn particles.
b. Rinse thoroughly with analyte free water (deionized water).
c. Let air dry completely, or dry with Kimwipes.
d. Wrap equipment in plastic bags for storage and transportation.
Note, the above cleaning procedure does not include the use of soaps or acids as recommended by
DEP. The concentrations of the nutrients of interest (phosphate, ammonium and nitrate) can be
significantly affected by the use of these cleaning solutions. The cleaning procedures used by
SERF in the last ten years have produced non-detectable concentrations of the analytes listed in
Table 6.1 in equipment blanks, and historical data supporting this is available upon request.
6- 1
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Section 6
Date: 11/25/98
Page 2 of 21
TABLE 6.1
SERF Sampling Capabilities
Parameter Group
Inorganic Anions and Nutrients
Ammonium
Nitrite
Nitrate
Phosphate
Silica
Total Nitrogen
Total Phosphorus
Organics
Total Carbon
Dissolved Organic Carbon
Chlorophyll-a
Alkaline Phosphatase Activity
Field Parameters
Temperature
PH
Salinity/Conductivity
Dissolved Oxygen
Turbidity
Light Attenuation Coefficient
Other
Bulk Density
Percent Mineral Content
Ash Free Dry Weight
Sample Source
Surface Water, Pore Water
Surface Water, Pore Water,
Surface Water, Pore Water,
Soils, Sediments, Tissue
Soils, Sediments, Tissue
Surface Water, Pore Water,
Soils, Sediments, Tissue
Surface Water, Pore Water
Surface Water
Surface Water, Pore Water,
Soils, Sediments, Tissue
Surface Water, Pore Water
Surface Water
Soils, Sediments
6-2
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Section 6
Date: 11/25/98
Page 3 of 21
TABLE 6.2
Field Sampling Equipment
Equipment
Surface Water
Sampling Equipment
Syringes
Bottles
Bottles
Microcentrifuge
Tubes
Bucket
Niskin Sampler
Field Filtration
In-line Filter Holders
Filters
Construction
140 ml plastic (HDPP)
60 ml plastic (HOPE)
125 ml plastic (HOPE)
1.8 ml plastic (HOPE)
2-5 gallon plastic
(LDPE)
2.5 L PVC
2.5 cm plastic
(Gelman)
2.5 cm Whatman GF/F
glass fiber
Use
Collection
Collection
Collection
Filter storage
Collection
Collection
Filtration
Filtration
Parameter Groups
Soluble nutrients,
Suspended matter
Chlorophyll
Soluble nutrients
Total nutrients, organics
Suspended matter,
Chlorophyll
All surface parameters
All surface parameters
Soluble nutrients,
Suspended matter,
Chlorophyll
Soluble nutrients,
Suspended matter,
Chlorophyll
Restrictions,
Precautions, Notes.
None
Filtered samples only, 2 per
location
2 per location
2 per location, preserve
with acetone
None
None
Attach to end of syringe
Use filter forceps to place
into and remove from filter
holder
6-3
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Section 6
Date: 11/25/98
Page 4 of 21
TABLE 6.2 Continued.
Field Sampling Equipment
Equipment
Pore Water
Sampling
Equipment
Peristaltic Pump
In-line Filter
Syringe
Soils, Sediments
Spade, Spatula
Core Tubes
Wildco Eggshell Core
OO
Eckman Dredge
Plant Tissue
Bags
Construction
Tygon Tubing
Plastic, 2.5 cm Whatman
GF/F glass filter
120 ml plastic (HDPP)
with Tygon Tubing
Stainless Steel
Polycarbonate or PVC
Stainless Steel
Stainless Steel
Plastic
Use
Purging, Sampling
Filtration
Purging, Sampling
Sample collection,
cutting
Sample collection
Corer
Penetration
Sample collection
Parameter Groups
All parameters
Soluble nutrients
All parameters
All parameters
All parameters
All parameters
All parameters
All parameters
Restrictions,
Precautions, Notes.
Use new tubing prior to each
sampling event.
None
Use new tubing prior to each
sampling event.
None
None
None
None
None
6-4
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Section 6
Date: 11/25/98
Page 5 of 21
TABLE 6.2 Continued.
Field Sampling Equipment
Equipment
Miscellaneous
Equipment
Acetone
Disposable pipettes
Ice (wet)
Coolers
DI water
Field notebook
Pens
Labeling tape
Site charts
Construction
90%, ACS grade
Plastic (polyethylene)
Plastic
1 L plastic (LDPE)
250 ml plastic (LDPE)
squeeze bottle
Field data sheets
Instrument calibration
sheets
Field equipment
checklist
Waterproof
Waterproof
Waterproof
Use
Preservation
Dispensing
Preservation
Transportation
Equipment blanks
Rinsing
Documentation
Documentation
Documentation
Reference
Parameter Groups
Chlorophyll
Chlorophyll
Soluble nutrients
Chlorophyll
Tissue samples
All parameters
All parameters
All parameters
All parameters
All parameters
All parameters
Restrictions,
Precautions, Notes.
Store in a 25 Oml HOPE
bottle in a ziploc bag
None
Need sufficient quantity to
ensure even temperature
distribution
None
None
None
None
None
None
6-5
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TABLE 6.2 Continued.
Field Sampling Equipment
Section 6
Date: 11/25/98
Page 6 of 21
Equipment
Miscellaneous
Equipment
Field instruments
pH buffers
S/C check standard
Construction
DO meter
SCT meter
pH meter
CTD
7.00 and 10.00 pH
solutions
Gulfstream seawater
Use
Field measurements
Meter calibration
Calibration check
Parameter Groups
All parameters
All parameters
All parameters
Restrictions,
Precautions, Notes.
None
None
None
6-6
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Section 6
Date: 11/25/98
Page 7 of 21
TABLE 6.3
Field Equipment Checklist
Surface Water Sampling Equipment
1. Labeled and cleaned sample bottles (narrow-mouth plastic)
60 ml (2 per site)
125 ml (2 per site)
2. 140 ml clean plastic syringes
3. Mi crocentrifuge tub es
4. 2.5 cm in-line filter holders
5. 2.5 cm Whatman GF/F glass fiber filters
6. Filter forceps
7. 2-5 gallon plastic bucket
8. Niskin sampler
Pore Water Sampling Equipment
1. Peristaltic pump or 120 ml plastic syringes
2. Tygon tubing
3. Water level indicator
Field Measurement Equipment
1. pH meter
2. S/C/T meter
3. Dissolved oxygen meter
4. CTD
5. Light meter
6. pH Buffers (7.00 and 10.00)
7. Salinity/Conductivity check standard
8. Plastic beaker
Sample Preservation
1. 100% Acetone
2. Disposable polyethylene pipettes
3. Ice
4. Coolers
5. DI water (1L) for equipment blanks
Soil, Sediment & Sampling Equipment
1. Labeled sampling bottles
2. Spatula
3. Spade
4. Measuring rule
5. Core tubes
6-7
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Section 6
Date: 11/25/98
Page 8 of 21
TABLE 6.3 Continued
Field Equipment Checklist
Tissue Sampling Equipment
1. Labeled sample bags
Boat Supplies
1. Depth finder
2. GPS (Magellan 5000 D)
3. VHP Radio
4. PFD's (adequate for number for passengers)
5. Boat hook
6. Emergency flares
7. Charts
8. Tool box
9. Fire extinguisher
Miscellaneous Equipment
1. Clipboard with waterproof field data and calibration sheets
2. Pencils
3. Waterproof label tape and waterproof pens
4. Deionized water squeeze bottle (filled)
5. Watch
6. CompQAP (available in the field for reference)
6-8
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Section 6
Date: 11/25/98
Page 9 of 21
Two types of analyte-free water are produced in the laboratory: deionized-distilled water and
double-deionized water. In general, the deionized-distilled water is used for washing equipment
and glassware, while the double-deionized water is used as reagent water. Tap water is first
deionized using a Culligan system containing activated carbon and 2-mixed bed ion exchange beds
followed by filtering through a 0.45 |om polypropylene filter cartridge. The water is then either
distilled through a Corning Mega-Pure 11 Liter Automatic Water Still to produce the deionized-
distilled water or further deionized with a Barnsted model D8911 HN Ultrapure mixed bed
deionization cartridge to produce the double-deionized water. Both types of water have proven to
be analyte-free for the nutrients analyzed. The quality of this water is frequently checked with
laboratory method and field equipment blanks. Containers used to store analyte-free water are kept
dedicated to this use, therefore, cleaning of these containers is not necessary.
6.2.3 Sampling Equipment Field Cleaning Procedures
In the field, all field equipment used for collection of surface and pore water sampling is triple-
rinsed with sample water prior to sample collection or field measurement. New tygon tubing is
replaced on the peristaltic pump or syringe at the beginning of each pore water sampling event.
Between sampling locations, the tygon tubing is rinsed with analyte-free water. Reusable field
equipment used to collect soil and sediment equipment is cleaned between sampling locations by
rinsing with analyte-free water. If the sampling equipment is used only once in the field, and not
cleaned in the field, the equipment is tagged with the sample location and cleaned according to the
laboratory cleaning procedures described in Section 6.2.1. The probes of field instruments are
wiped if necessary to remove large particles, rinsed with DIW, and allowed to air dry for as long as
possible before using at the next station. The cleaning procedures for all field equipment used
during a sampling event are documented in the field notebook and include which equipment was
cleaned, the procedure used, and the date and initials of the person performing the procedure.
If samples containing high concentrations are suspected of being collected during an event (such as
surface waters downgradient of a landfill), then the sampling program will be performed to collect
samples from lowest suspected concentration to highest suspected concentration. Any equipment
suspected of contamination from these sampling events, will by thoroughly cleaned; any equipment
that can not be cleaned is discarded.
6-9
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TABLE 6.4
Sample Containers, Sizes, Preservations and Holding Times
Section 6
Date: 11/25/98
Page 10 of 21
Sample
Type/Parameter
Water Samples
Ammonia
Nitrite
Nitrate
Soluble Reactive Phosphate
Silica
Total Nitrogen
Total Phosphorus
Total Organic Carbon,
Dissolved Organic Carbon
Chlorophyll-a
Alkaline Phosphatase
Activity
Container/Size
Plastic, 60 ml
Plastic, 60 ml
Plastic, 60 ml
Plastic, 60 ml
Plastic, 125 ml
Plastic, 125 ml
Plastic, 125 ml
Plastic, 125 ml
Plastic, 60 ml
GF/F Glass Fiber filter, 1.8 ml
HDPE Microcentrifuge Tube
Plastic, 125 ml
Preservative
Cool, 4°C
Cool, 4°C
Cool, 4°C
Cool, 4°C
Cool, 4°C
Cool, 4°C
Cool, 4°C
Cool, 4°C
Acetone, Freeze, -15°C,
Store in the Dark
Store in the Dark
SERF Holding Time
24 hours
24 hours
24 hours
24 hours
28 days
28 days
28 days
7 days
7 days
12 hours
Maximum Allowable
Holding Time (a)
28 days (b)
28 days (b)
28 days (b)
28 days (b)
28 days
28 days
28 days
28 days
21 days
N/A (c)
6- 10
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TABLE 6.4 Continued
Sample Containers, Sizes, Preservations and Holding Times
(a) According to U.S. EPA, 1983, methods for chemical analyses of Water and Wastes.
(b) If SERF maximum holding times are exceeded for these parameters, then samples are frozen and analyzed within the maximum allowable holding time.
(c) Not Applicable.
Section 6
Date: 11/25/98
Page 11 of 21
Sample Type/Parameter
Turbidity
pH
Temperature
Salinity/
Conductivity
Dissolved Oxygen
Light Attenuation
Coefficient
Soils Sediments
All Parameters
Tissue
All Parameters
Container Size
Plastic, 125 ml
None
None
None
None
None
Plastic core tubes, plastic wide-
mouth specimen cups
Plastic Bags
Preservative
Cool, 4°C
None
None
None
None
None
Cool, 4°C, dark
Dry, grind, and store in
desiccator
Freeze, -15°C, dark
Freeze, -15°C, dark
SERP Holding Time
12 Hours
Analyze Immediately
Analyze Immediately
Analyze Immediately
Analyze Immediately
Analyze Immediately
48 hours
48 days
48 days
lYear
Maximum Allowable
Holding Time (a)
48 hours
Analyze Immediately
Analyze Immediately
28 days
Analyze Immediately
Analyze Immediately
48 hours
Indefinitely
Indefinitely
N/A (c)
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Section 6
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Page 12 of 21
6.3 Sample Containers and Cleaning Procedures
6.3.1 Sample Containers
Sample containers, preservation methods, and appropriate holding times are listed in Table 6.4.
Three types of sample containers are used for surface water nutrient sampling: 60 ml HDPE screw-
cap bottles for filtered water samples; 125 ml HDPE screw-cap bottles for unfiltered water samples;
and Whatman GF/F glass fiber filters, stored in 1.8 ml microcentrifuge polypropylene tubes with
caps for suspended matter samples. Sample containers used for pore water samples are the same as
those used for surface water samples except that chlorophyll-a is not collected. Soil and sediment
samples are collected in plastic core tubes or wide-mouth plastic specimen cups. Plant tissue
samples are stored in plastic, sealable bags.
6.3.2 Sample Container Cleaning
Similar to the field equipment cleaning protocols, no soaps or acids are used in cleaning of sample
containers, since we have found these cleaning solutions have the potential to contaminate the
sample containers for the nutrients listed in Table 6.1. All surface water and pore water sample
bottles are further cleaned in the field by triple rinsing with sample water. Each surface water
sample is collected in duplicate in the field, providing for a quality assurance check of possible
container contamination. Any sample container suspected of being contaminated is discarded. The
equipment blank results are documented with the corresponding sample set runs so it is possible to
track potential bottle contamination. The water sample bottles can be re-used after the proper
cleaning procedure during 2 years (after they were used for the first time) for sampling purposes
and after this period of time they are discarded independently from how many times they were used.
6.3.2.1 Surface Water and Pore Water Sample Containers for Filtered
Nutrient Analyses
HDPE sample bottles used for collection of filtered nutrient analyses are cleaned by the following
methods:
a. Remove all labels, and wash all surfaces thoroughly with hot, tap water. Use a brush
to remove large or stubborn particles.
b. Rinse thoroughly (at least three times) with analyte-free water.
c. Rinse once with acetone to aid in drying, and to remove organics.
d. Shake dry then cap.
e. Store sample containers in plastic bags for transportation to the field.
f In the field, triple rinse with sample water prior to sample collection.
6.3.2.2 Surface Water and Pore Water Sample Containers for Unfiltered
Nutrient Analyses
Sample bottles used for collection of non-filtered samples are cleaned following the procedures
described in Section 6.3.2.1, except they are not rinsed with acetone, and they are allowed to air dry.
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Section 6
Date: 11/25/98
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6.3.2.3 Surface Water Sample Containers for Suspended Matter (Chlorophyll
Analyses)
Both the Whatman GF/F glass fiber filters and the 1.8 ml tubes used for storage of suspended
matter sediments are obtained clean directly from the manufacturer, used once, then discarded.
6.3.2.4 Soil and Sediment Sample Containers
The polycarbonate or PVC core tubes and specimen cups used for soil and sediment collection are
washed according to the following procedures:
a. Remove all labels, and wash all surfaces thoroughly with hot, tap
water. Use a brush to remove large or stubborn particles.
b. Rinse thoroughly (at least three times) with analyte-free water.
c. Allow to air dry.
6.3.2.5 Tissue Sample Containers
The plastic bags used to store tissue samples are used once, then discarded.
6.4 Sampling Protocols
Specific sampling locations are chosen based on criteria described in the appropriate Quality
Assurance Project Plans. In general, surface water, sediment, and plant tissue samples are collected
from a boat, helicopter, airboat or by a SCUBA diver. To ensure collection of undisturbed samples,
the boat is advanced toward a sampling station from the downstream direction. Surface water
samples are collected as grab samples from the bow of the boat, away from the outboard engine.
Sediment and tissue samples are collected by SCUBA diver or by wading upgradient of the anchor,
if one is used, or upgradient of the bow if an anchor is not used. If surface water samples and
sediment and/or tissue samples are to be collected at one location, then the surface water samples
will be collected prior to the collection of sediment or tissue samples. In areas of suspected high
concentrations, such as downgradient of a landfill, samples are collected in order of suspected low
concentration to higher concentration.
6.4.1 Surface Water Sample Collection
SERF generally collects three types of surface water samples are collected: suspended matter
samples, filtered, and unfiltered, samples in that order. Each of these types of samples are collected
in duplicate by collecting from successively collected volumes. The quantity of each subsample
collected is recorded in the field notebook. Surface water samples are collected according to the
following procedures:
I. Suspended Matter Samples for Chlorophyll Analysis
a. Use clean 140 ml polypropylene syringes to collect suspended matter
samples.
6- 13
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Section 6
Date: 11/25/98
Page 14 of 21
b. Place the syringes to draw water 10 cm below the surface of the water into the
direction of water flow (if applicable).
c. Partially fill the syringe and rinse with sample water three times.
d. Completely fill the syringe.
e. Using filter forceps, put a 25 mm Whatman GF/F glass fiber filter into a 25 mm in-
line filter holder.
f. Attach the filter holder to the end of the syringe.
g. Force a known amount of sample water (50 - 200 ml) through the filter (Do not
rinse the filter first). Discard Filtrate.
h. Record the amount of water filtered in the field notebook, along with date and time
of sample collection.
i. Transfer the filter, with the filter forceps, to a 1.8 ml microcentrifuge tube.
j. Add 1.5 ml of acetone to the tube with a disposable polyethylene pipet. Acetone
extracts the chlorophyll from the cells collected on the filter.
k. Check that tube is properly labeled.
1. Place the tube immediately in the cooler on ice and in the dark.
n. Filtered surface water samples for inorganic nutrient determinations
a. Use clean 140 ml polypropylene syringes to collect filtered surface water samples.
b. Place the syringes to draw water 10 cm below the surface of the water into the
direction of water flow (if applicable).
c. Partially fill the syringe and rinse with sample water three times.
d. Completely fill the syringe.
e. Using filter forceps, put a 25 mm Whatman GF/F glass fiber filter into a 25 mm in-
line filter holder.
f. Attach the filter holder to the end of the syringe and force about 10 ml of sample
through the filter to rinse.
g. Use the remaining filtrate from syringe to rinse a 60 ml HOPE sample bottle three
times.
h. Fill syringe with sample water again (if necessary), and re-attach filter holder with
filter.
i. Fill sample bottle to neck and cap. Multiple syringe volumes may contribute to a
single sample bottle.
j. Repeat steps a through h to collect a duplicate sample.
k. Check that the sample bottles are properly labeled.
1. Record date and time of sample collection in the field notebook.
m. Place the samples in a cooler with ice.
HI. Unfiltered surface water samples for total nitrogen, phosphorus, and carbon and alkaline
phosphatase activity determinations:
a. Unfiltered surface water samples are collected directly into clean 125 ml HOPE
bottles.
b. Submerge the bottles neck first to about 10 cm below the surface of
the water.
c. Invert the bottle with neck upright and pointing into the direction of water flow (if
applicable).
6- 14
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Section 6
Date: 11/25/98
Page 15 of 21
d. Partially fill the bottle (at least 25 percent filled) cap, and shake, and pour the rinse
water downstream of the sampling location.
e. Repeat this procedure two more times for a total of three rinses.
f. Fill the bottle to the neck and cap.
g. Repeat procedures a through/to collect a duplicate sample.
h. Check that the sampl e b ottl es are properly 1 ab el ed.
i. Record date and time of sample collection in the field notebook.
j. Place the samples in a cooler in the dark. Alkaline phosphatase
activity is a microbiological parameter, therefore, these samples can
not be stored on ice. Once alkaline phosphatase activity has been
determined on the samples, the remaining sample for the inorganic
parameters are stored in a refrigerator.
When access to the surface water can not be made by boat or wading, such as from a bridge or side
of canal, then a clean plastic bucket attached to a line is used to collect the surface water sample in
bulk. This bucket is rinsed with sample water three times, with the rinse water poured downstream
of the sampling location, prior to collection of the sample. Sample bottles, syringes, and filters are
then rinsed and filled from the water collected in the bucket following the procedures described
above. If necessary, split samples are collected from consecutive sample volumes from the same
sample device.
When water samples are to be collected from depths below the water surface, a Niskin sampler is
used. The sampler is cocked open, then lowered from the boat to the appropriate depth, closed at
depth, and returned to the surface. Sample bottles, syringes, and filters are then rinsed and filled
from the water collected in the bucket following the procedures described above. For good
comparability between duplicate samples and all parameters, it is important to fill all sample bottles
for a location from one cast of the Niskin sampler. If for some reason all of the bottles cannot be
filled from one cast, as may happen if the Niskin sampler does not fill completely or that some of
the sample water is lost due to spillage, then any sample already put into bottles needs to be rinsed
and filled again with water collected from a new cast of the Niskin sampler.
6.4.2 Field Measurements
Temperature, salinity/conductivity, pH, dissolved oxygen, and light attenuation coefficient are
measured directly in the field at each sampling location using properly calibrated (Section 9)
portable electronic meters and/or a SEA-BIRD Model 19-03 CTD. These measurements are taken
contemporaneously with the sample collection to ensure direct correlation of laboratory results with
field measurements. Temperature, salinity/conductivity and dissolved oxygen are measured both at
the surface and at the bottom of the water column; pH is measured at the surface.
The water depth is determined from a depth finder on the boat and/or the pressure transducer on the
SEA-BIRD CTD. Meter probes are attached 10 cm from the bottom of the weighted line to obtain
bottom water measurements.
6.4.2.1. Temperature
6- 15
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Section 6
Date: 11/25/98
Page 16 of 21
Surface temperature is measured (in °C) by submersing the probe of the
salinity/conductivity/temperature (SCT) meter 10 cm under water. After the digital readout
stabilizes (less than 5 minutes), the temperature is recorded in the field notebook. The probe is then
lowered to 10 cm from the bottom of the water column. After the digital readout stabilizes, the
bottom temperature is recorded in the field notebook. Temperature can also be measured by the
thermistor on the SEA-BIRD CTD.
6.4.2.2. Salinity/Conductivity
Surface salinity and conductivity are measured in units of parts per thousand (ppt). Surface and
bottom salinity are measured contemporaneously with temperature. The probe of the SCT meter is
submersed 10 cm under water. After the digital readout stabilizes (less than 5 minutes), the surface
salinity is recorded in the field notebook. The probe is then lowered to 10 cm from the bottom of
the water column. After readout stabilization, the bottom salinity is recorded in the field notebook.
Salinity and conductivity can also be measured by the SEA-BIRD CTD.
6.4.2.3. pH
An automatic temperature compensation (ATC) probe on the pH meter adjusts the pH reading for
temperature differences between standards and samples. A sample of surface water is collected in a
clean, 400 ml polyethylene beaker after it is rinsed three times with sample water. The pH probe
and ATC probe are submersed in the beaker, and the pH is recorded in the field notebook.
Successive aliquots of surface water are collected until the pH of three successive aliquot agrees
within 0.02 pH units.
6.4.2.4. Dissolved Oxygen
Automatic temperature, atmospheric pressure and salinity corrections are made by the Orion model
840 Dissolved Oxygen meter. Switch the salinity compensation on, and use the Mode Key Pad to
select the Cal mode. The last salinity entered in the system is displayed. Adjust the salinity display
with the up and down arrow keys to match the previously-measured station salinity. Dissolved
oxygen (DO) concentration, in mg/1, is determined from the surface water by submersing the probe
10 cm. The probe is gently agitated to approximate a velocity of 15 cm/sec past the membrane.
After a brief equilibration time, the meter displays a stable DO reading. Once the surface DO is
recorded in the field notebook, the probe is then lowered to 10 cm from the bottom and gently
agitated to approximate a flow of 15 cm/sec past the membrane. After a stable reading is reached,
the DO of the bottom water is recorded in the field notebook. Dissolved oxygen can also be
measured by the dissolved oxygen sensor (SB23B) on the SEA-BIRD CTD.
6.4.2.5 Light Attenuation Coefficient
Light attenuation coefficient is a measurement of the attenuation of photosynthetically active
radiation (PAR) as measured by two spherical quantum light sensors (LI-COR model LI-193SA) at
different depths in the water. The two light sensors are mounted on two extensions, each 90° apart,
from a PVC pole, such that one probe is held just below the water surface, while the other is 0.5 or
1 m below (depending on water depth). The measurements are made and the ratio of light at depth
6- 16
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Section 6
Date: 11/25/98
Page 17 of 21
(lz)/ light near surface (10) is calculated by a LI-COR model LI-1000 DataLogger. After a stable
reading is reached, the ratio value and distance (z, 0.5 or 1 m) are recorded in the field notebook.
The light attenuation coefficient is then calculated as In(lz/l0)/z*-l. Light attenuation coefficient can
also be calculated by PAR measured by quantum light sensor on the SEA-BIRD CTD.
6.4.3 Pore Water Sample Collection
SERF collects pore water from either temporary or permanently placed lysimeters. Prior to
sampling, the water level and bottom of the lysimeter are measured to determine the volume of
water in the lysimeter. Using either a peristaltic pump or a syringe, the lysimeter is purged of three
volumes of standing water or pumped dry. The volume of water removed is recorded in the field
notebook. Specific conductance, temperature, and pH are monitored while purging if the lysimeter
produces sufficient volume of water. If the lysimeter does not produce enough water then it is
pumped dry and sampled immediately following recovery. Since SERF does not sample hazardous
water, the water purged from the lysimeter is allowed to drain on the ground but away from the
lysimeter. Pore water is collected in sample bottles according to the procedures for surface water
outlined in Section 6.4.1.
6.4.4 Soil and Sediment Sample Collection
SERF collects surface and subsurface soils and sediment samples according to the following
protocols.
6.4.4.1 Surface Soil Samples
Surface soil samples are collected from the upper 10 cm of an undisturbed location. Surface
detritus is removed prior to sample collection. The surface soil samples are collected with a
stainless steel trowel, spade, PVC core, polycarbonate core or by hand and placed into plastic, wide-
mouth specimen cups. The physical parameters of the soil, including color, moisture content,
presence of biota, and texture are described in the field notebook if required to satisfy the project
objectives. The sample depth, date and time of sample collection, and the amount of sample (or
subsamples) collected are also recorded in the field notebook. Roots may or may not be removed
from the soil samples depending upon the project objectives.
Soil samples are homogenized either in the field or in the laboratory, depending upon the project
objectives. If homogenized in the field, the soil sample is placed into a polypropylene mixing tray
and homogenized by slicing, mixing, and remixing of the sample. The homogenized soil sample is
then placed into a wide-mouth specimen cup and stored in a cooler in the dark for transport to the
laboratory. In the laboratory, soil samples are homogenized by mixing the entire sample in a
blender.
6.4.4.2 Subsurface Soil Samples
Subsurface soil samples are collected using either polycarbonate or PVC core tubes, pushed into the
soil or sediment by hand by twisting the tube in a circular clock-wise and then in a counterclock-
wise movement. The depth of the soil surface on the outside and on the inside of the core tube is
6- 17
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Section 6
Date: 11/25/98
Page 18 of 21
measured and recorded to determine compaction.
Once the core is extracted, plastic caps or neoprene rubber stoppers are inserted and taped to the
end of the tube to prevent slippage and spillage. The top direction of the core tube is marked on the
tube along with the sample number and the tube is stored in an upright position during transport to
the laboratory. In the laboratory, the soil or sediment is extracted from the core tube and using a
stainless steel knife, a sample for analysis is collected from the center of the tube, away from the
sides. The physical characteristics of the soil are described in the field notebook, along with the
approximate amount of sample (or subsample collected).
In general, soil sample compositing or splitting in the field is not preferred due to potential
contamination concerns; the collection of duplicate samples in the field by collecting soil from the
same sample source and homogenization of the samples in the laboratory with a blender, is
preferred. If samples are to be homogenized in the field, then the samples will be extracted from
the core tube onto a polypropylene tray and mixed with a stainless steel or Teflon spatula. The
homogenized samples are then placed into plastic, wide-mouth specimen cups and stored in a
cooler in the dark for transport to the laboratory.
6.4.4.3 Sediment Sample Collection
Sediment is collected using either polycarbonate or PVC core tubes or with an Ekman Dredge. The
sediment sample is removed from the tubes or dredge and placed in a polypropylene tray. A
stainless steel knife is used to collect a section of soil from near the center of the sample container.
These samples may be homogenized in the field by mixing with a spatula or homogenized in the
laboratory using a blender. Samples are stored in plastic wide-mouth specimen cups and stored in a
cooler in the dark for transport to the laboratory. The amount of sediment collected, all equipment
used, the method of homogenization, and the amount of sample stored are documented in the field
notebook.
6.4.5 Tissue Sample Collection
Plant tissue samples are collected by gathering the plants by hand and placed into plastic bags. The
plant samples are kept in a cooler on ice until transported to the laboratory.
6.5 Sample Documentation and Identification
All sample bottles are pre-labeled in the laboratory prior to transport to the field site. Labels of
colored tape are attached to the side of the bottle. Water-proof ink pens are used to mark the labels
with a unique sample number (Section 7). Sample containers used for the suspended matter
samples, sediment samples and tissue samples are used only once, and are marked with water-proof
ink pens directly on the outside of the sample container. The collection of all samples is recorded
in the field notebook.
6.6 Documentation
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Section 6
Date: 11/25/98
Page 19 of 21
The following is a list of the field records that are maintained:
1. Field Equipment Checklist
2. Fi el d Noteb ook with the fi el d data sheets.
3. Field Instrument calibration Sheet.
4. Chain of Custody Form.
6.7 Sample Preservation, Holding Times, and Sample Volume
Sample containers, sizes, preservatives, and maximum holding times, by parameter are included in
Table 6.4. Note, there are two columns listing sample holding times prior to analysis. SERF
recognizes that samples should be analyzed as soon as possible after sample collection and the
holding times are defined from date/time of sample collection. SERF has instituted its own
maximum holding times as goals. In almost all cases, the SERF holding times are more stringent
than those established by EPA (Table 6.4). The SERF holding times are almost always met. In the
case of filtered soluble nutrients, however, if the SERF holding times are exceeded, then the
samples are frozen and analyzed within the maximum holding time. Every effort is made to ensure
that the EPA holding times are not exceeded, but, should a sample be analyzed after the maximum
holding time, the data for that sample will be marked with a qualifier code in the data report.
In the event that filtered samples need to be frozen, then each sample bottle is examined to
determine that there is adequate space for expansion (i.e. the sample bottle can only be 3/4 full). If
needed, sample is removed from the bottle so that it is no more than 3/4 full. Prior to analysis the
sample bottles are allowed to thaw slowly (2-3 hours) to room temperature then shaken well to
ensure that all constituents are re-distributed evenly throughout the sample as they were at the time
of sample collection. Clementson and Wayte (1992) have demonstrated that freezing of water
samples results in no change in dissolved nutrient concentrations for at least 4 months (See
Appendix C). SERF has also demonstrated that freezing water samples has no effect on soluble
nutrient concentrations, including ammonia, for at least 35 days (See Appendix C).
Samples are preserved in the field, immediately following sample collection. For the most part,
sample preservation requires placing the sample in a cooler with ice, and in the dark. Suspended
matter samples collected for chlorophyll-a determination are preserved in the field by adding 1.5 ml
of acetone to the HDPE microcentrifuge tube with a disposable pipet. The chlorophyll-a samples
are then stored in a cooler in the dark on ice. Equipment blanks for chlorophyll-a determination are
preserved with the same amount of acetone and stored in the dark on ice. Any additional chemical
used to augment preservation in the field will be from the same source as the chemical used to the
preserve the sample and any additional preservative added to the samples is documented on the
field data sheet. The acetone preservative used is of ACS reagent-grade or better; obtained fresh
from the laboratory stocks on a daily basis; and transported to the field in an HDPE bottle.
SERF does not use acid preservatives for ammonia, total nitrogen, total phosphorus, and organic
carbon samples. The addition of even small amounts of acid to a sample bottle collected for
ammonia determination enhances the uptake of ammonia into the sample bottle from the
atmosphere. The concentrations of ammonia most commonly determined in the waters sampled
and analyzed by SERF are less than 0.05 ppm (3.6 |JVI). At these low concentrations, even the
smallest uptake of ammonia into a sample from the atmosphere will be detected and produce an
6- 19
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Section 6
Date: 11/25/98
Page 20 of 21
anomalous high result.
Samples collected for total phosphorus and total nitrogen are processed immediately upon receipt in
the laboratory (within 12 hours of sample collection) according to the sample handling procedures
for these methods (Appendix A and B), therefore, preservation with acid is not required. Samples
collected for total organic carbon are refrigerated, without acidification, until analysis. SERF has
demonstrated that there is no difference in TOC concentrations between samples preserved with or
without acid for at least 33 days (See Appendix D).
6.8 Sample Dispatch
For most projects, samples are stored on wet ice in coolers and delivered to the laboratory by the
field personnel on the same day of sample collection. SERF performs its own laboratory analyses;
however, if samples must be sent to an out-side laboratory they will be shipped on the same day of
sample collection to the laboratory using a common carrier and overnight delivery. These samples
will be carefully packaged with bubble wrap or styrofoam to prevent breakage. Individual or
duplicate samples will be placed in individual plastic, sealable, bags to prevent cross-contamination
if the sample bottles break. Insulated coolers will be used for sample shipment. The lids and drain
ports of the coolers will be securely sealed with shipping tape to avoid opening. The samples will
be preserved in the coolers with wet ice, if appropriate.
6.9 Reagent Storage and Waste Disposal
6.9.1 Reagent Storage
The type of reagents typically transported to the field by SERF are limited to pH buffers,
salinity/conductivity standard and acetone. The storage and transport procedures for these reagents
are listed in Table 6.5.
6.9.2 Waste Disposal
Field generated wastes are kept to a minimum since soaps, acids, and solvent compounds are not
used during equipment decontamination procedures. In addition, SERF does not perform sampling
of hazardous waste sites. The only wastes generated during sampling include calibration standards
for pH and acetone. The field calibration standards are taken back to the laboratory, neutralized
and/or diluted then flushed down the sanitary sewer. Any acetone that may be remaining on the
pipet tips is allowed to evaporate, then the pipet tips are disposed in trash receptacles.
6-20
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TABLE 6.5.
Field Reagent Storage
Chemical
pH Buffers
Salinity\conductivity
standard
Acetone
Section 6
Date: 11/25/98
Page 21 of 21
Method of Storage
Stored in original containers in the
laboratory and transferred to 60 ml HDPE
bottles in ziplock bags for transport to the
field.
Stored in their original containers in the
laboratory and transferred to 250 ml HDPE
bottles for transport to the field.
Stored in original steel container in a vented
cabinet designed for flammable storage.
Cabinet in laboratory is locked and labeled
as containing flammable substances.
Transferred to a 250 ml HDPE squeeze
bottles in ziplock bags for transport to the
field.
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Section 7
Date: 11/25/98
Page 1 of21
7.0 Sample Custody
Sample custody is the responsibility of the sampling team and of the Chief Chemist. The sampling
team is responsible for labeling, collecting, documenting in the field notebook and transporting
samples to the laboratory. The Chief Chemist is responsible for proper storage of the samples
within the laboratory, and that the samples are analyzed within their appropriate holding times.
Figure 7.1 shows the centralized receipt log form used for any incoming sample set at SERF. This
centralized receipt log form is maintained in a loose leaf notebook at the Chief Chemist office.
Samples are not discarded until the analytical results are checked and approved by the Quality
Assurance Officer. All documentation/logs are signed/initialed by appropriate personnel.
Currently, all analyses of all samples collected by our laboratory are performed by our laboratory.
However, should the need arise to send samples via courier to another laboratory for analysis, then
the SERF sample chain-of-custody form (Figure 7.2) and/or one supplied by the contract laboratory,
including all necessary information, will be used. This form will be included within the sample
cooler and protected within a plastic, sealable bag. A copy of the form will be retained by SERF in
project specific files. Upon receipt of the samples, the receiving laboratory will be requested to sign
the sample chain-of-custody form and send a copy of the signed form via mail or facsimile to
SERF. The QA officer will be in charge of ensuring that a copy of the signed chain-of-custody
form is obtained from the receiving laboratory.
SERF also often receives samples (surface water, ground water, soils, sediments, and tissue)
collected by other researchers for analysis. A completed SERF chain-of-custody form will be
required to accompany the samples and will be signed by the QA officer or SERF technician
receiving the samples. These samples will be inspected by the SERF QA officer or SERF
technician for integrity and completeness according to the chain-of-custody form. Any
discrepancies between the samples received and the chain-of-custody form and/or missing
information will be reported immediately to the researcher that collected the samples. Any samples
with visible contamination, leaks, damage, or odors will be noted on the form. A copy of the chain-
of-custody form will be kept in the project specific files. Records of shipping receipts for outgoing
and incoming samples are maintained indefinitely at SERF office. Sample personnel responsible for
sample delivery are identified in the chain of custody form as well as common carriers that might
have been used in the process.
Each sample container is labeled with a unique sample identification number as indicated below:
AAA###-###XX.
The first letters in the sample identification number (AAA) refer to the client or program name. For
example, the three letters FBY would be used to designate SERF samples collected from Florida
Bay. The first set of numbers (###) can vary from 1 to 999 and refers to the survey or batch
number. The second set of numbers (###) is the site number or bottle number. The last letters
(XX) refer to the type of sample (U=unfiltered, F=filtered, S=soil/sediments, T=tissue,
C=chlorophyll a) and the duplicate letter (A or B, not applicable for some clients' samples).
Sample numbers are recorded on sample containers, the field data sheet, and sample chain-of-
7- 1
-------
Section 7
Date: 11/25/98
Page 2 of 21
custody/log-in form. When we receive samples collected by other researchers, a SERF technician
will assign the unique code to each bottle at the time of receipt, and record it on the bottle and
chain-of-custody/log-in form. An example of a sample label is included below:
FBY77-10UA
7.1 Field Custody
Loose-leaf field notebooks are used for all field documentation. Once QA checked, the sheets are
removed from the notebooks and kept in project-specific files. All field notebook entries are made
in waterproof ink and include the following: name and number of sampling trip; date of sampling
trip; general weather and water conditions (waves and tides); name of individuals in sampling team;
location and number of sample; and time of sample collection. For the collection of surface water
samples, additional recorded information includes the water temperature (both surface and bottom),
salinity/conductivity (both surface and bottom), pH, dissolved oxygen, the volume of water filtered,
the depth of sample collection, the amount of preservative added, and a description of the water
clarity (Figure 7.3). For pore water sample collection, additional information recorded in the field
notebook includes the water level in the lysimeter, the bottom depth of the lysimeter, the volume of
water removed during purging, and the specific conductance, temperature, and pH during purging
(Figure 7.4). For soil and sediment samples, additional information recorded in the field notebook
include the depth of sample collection, physical characteristics of the soil, and method of
homogenization (Figure 7.5). For tissue samples, identifying characteristics of the plant are
included in the field notebook (Figure 7.6). Each notebook page is signed by the sampling team. If
an error is made in the field notebook, corrections are made by drawing a line through the error and
entering the correct information next to the error.
In addition to the field notebook, the field sampling team keeps a field instrument sheet (Figure
7.7). On this sheet is recorded the number of each field instrument and probe, as well as instrument
calibration check information. All sampling equipment and decontamination procedures are
recorded, along with the use of any fuel powered units (boats, generators, or pumps).
7.2 Laboratory Custody
Upon transport of the samples to the SERF laboratory at FIU, the field sampling personnel log-in
the samples on the Sample Checklist (Figure 7.8). All of the sample bottles are inspected for
integrity, proper documentation (labelling), and preservation (cooler with wet ice). Any samples
bottles found broken, leaking, not properly marked or not properly preserved are rejected from
analysis, and noted on the bottom of the Sample Checklist. Samples are stored in the appropriate
conditions, refrigerator or freezer, in a locked room, with access to the room limited to SERF
employees. Standards are stored separately from samples.
The Sample Checklist serves to track the samples collected from a sampling event through sample
analysis, data validation, and sample disposition. The Sample Checklist is stored in the project
files. These files are checked on a daily basis by the chief Chemist and the QA Officer to ensure
that samples are analyzed within their appropriate holding times. The checklist includes the date of
sample collection, initials of field sampler(s), date of receipt in the laboratory, and requested
analyses. Special
7-2
-------
Section 7
Date: 11/25/98
Page 3 of21
Figure 7.1
Centralized Sample Receipt Log-in Form
ANALYSES REQUIRED AND MAXIMUM ALLOWABLE HOLDING TIMES
DATE
REC'D
PROJECT
SAMPLE
#'S
#OF
REPLICATES
MATRIX
APA
12hrs
TURB
48hrs
CHLA
21 days
TOC
28 days
TN
28 days
TP
28 days
NUTR
28 days
SI
28 days
TSI
28 days
DOC
28 days
7-3
-------
Section 7
Date: 11/25/98
Page 4 of21
Figure 7.2
Chain-of-Custody/Sample Log-in Form
SOUTHEAST ENVIRONMENTAL RESEARCH PROGRAM
OE 148 (office)A/H 321 (lab), University Park, Miami, FL 33199, 305-348-3095
Chain of Custody Record/Sample
Page.
of
CLIENT/PROJECT NAME:
DELIVERED BY:
ACCOUNT NO.: AUTHORIZATION:
RECEIVED BY:
RECEIPT ASSESSMENT/COMMENTS:
BOTTLE
ID
SAMPLE
ID
MATRIX
FW/SW
H2SOR
ODORS ?
COLLECTION
DATE TIME
#OF
REPLICATES
DATE AND TIME:
ICE IN COOLERS?:
ANALYSES REQUIRED*
APA
CHLA
TOC
TN
TP
NUTR
SI
TSI
DOC
SAMPLE COMMENTS
: Analyses and methods APA (Alkaline Phosphatase Activity); CHLA (chlorophyll a, SM 10200H); TOC, DOC (Total and Dissolved Organic Carbon, EPA 415.1); TN (Total Nitrogen, Antek);
TP (Total Phosphorus, EPA 365.1); nutr (Soluble NO3, NO2 [EPA 353.2], NH4 [EPA 350.1], PO4 [EPA 365.1]); SI, TSI (Soluble and Total Silica, [EPA 370.1])
7-4
-------
Figure 7.3
Surface Water Field Data Sheet
Section 7
Date: 11/25/98
Page 5 of21
Sampling Event
Station
No.
Station
Name
Date
Time
Dept
h
Names
Temp
Salinity
D.O
Z(l;0.5)
Weather Conditions
Iz/Io
Volume
Filtered
Comment
7-5
-------
Figure 7.4
Lysimeter Field Data Sheet
Section 7
Date: 11/25/98
Page 6 of21
Sampling Event
Station
No.
Station
Name
Date
Time
Water
Level
Names
Total
Dept
Specific
Cond.
Temp
pH
Weather Conditions
Sample
Volume
Preservativ.
Comment
7-6
-------
Figure 7.5
Soil/Sediment Field Data Sheet
Section 7
Date: 11/25/98
Page 7 of21
Sampling Event
Station
No.
Station
Name
Date
Time
Depth
Names
Sample
Volume
Homogenization
Weather Conditions
Description
7-7
-------
Figure 7.6
Tissue Field Data Sheet
Section 7
Date: 11/25/98
Page 8 of21
Sampling Event
Date
Names
Weather Conditions
Station
No.
Station
Name
Time
Description
7-
-------
Figure 7.7
Field Instrument Sheet
Section 7
Date: 11/25/98
Page 9 of21
Sampling Event
Date
Names Comments
Instrument
Name
Instrument
Number
Probe Number
Time
Calibration Check
7-9
-------
Figure 7.8 Sample Checklist
Sample Checklist
Section 7
Date: 11/25/98
Page 10 of 21
Sampling Event:
Sampling Team
Sampling Date / Time:
Lab Receipt Date:
Sample Nos.:
Sample Matrix:
Sample Disposal Date:
Initials:
Analyses
Analysis
Date/Init
SOP/
Issue Date
Data Entry
Date/Init
QA Check
Date/ Init
Salinity
D.O.
Temp.
Alkaline Phosp.
Turbidity
TOC
Nutrients
Total P
Total N
Chlorophyll
Other Analyses:
7- 10
-------
Section *
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Pane 13 of 2
Figure 7 1 1
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Figure 7. 12
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Oaie 11/25/98
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Section "
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Seclaon '
Date: 11/25/98
Page 16 ofZ i
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-------
Figure 7.15
Total Phosphorus Preparation Form
Section 7
Date: 11/25/98
Page 17 of 21
TOTAL PHOSPHORUS-WATER
SERF TP SOP 001-98
Tray contents:
Prep (100 ^1 0.17 N MgSO4 + 5 ml sample per
vial) and put in oven
(80 °C):
(Date MgSO4 was made )
Date Time
Taken out of oven:
Init
Date Time Init
Put in muffle oven (550 °C)
Date Time Init
Taken out of muffle oven:
Date Time
Did the pellet melt? _
Init
Add acid (5 ml HC1), shake, and put in oven
(80 °C):
Acid added:
( Date acid was made: )
(L=0.06N, M=0.12N, H=0.18N; if varied put
the letter in each circle)
Date Time
Taken out of oven:
Init
Date Time
Second shake:
Init
Date Time
Analyzed:
Init
Date Time
Vials discarded:
Init
Date Time Init
Comments or problems:
7- 17
-------
Figure 7.16
Total Nitrogen Preparation Form
Section 7
Date: 11/25/98
Page 18 of 21
Tray Contents:
Prepared by:
TOTAL NITROGEN PREPARATION LOG
Date/time:
HC1 added?
10
A
B
C
D
7- 18
-------
Section 7
Date: 11/25/98
Page 19 of 21
preservation of samples is noted in the comments section of the checklist. Once the required
analyses are performed on all of the samples collected in one sample event, the Sample Checklist is
initialed and dated by the sample analyst. Sample analysis are also tracked in individual
instrumentation notebooks and include sample handler name and sample number. Figures 7.9 -
7.14 are copies of pages from instrument logbooks for the TOC-5000, RFA nutrient analyzer, RFA
total phosphorus analyzer, RFA silica analyzer, Antek total nitrogen analyzer, and fluorometer.
Preparation of water and sediment/soil samples for total phosphorus and water for total nitrogen are
recorded on sample preparation forms (Figures 7.15 and 7.16).
Ovens, refrigerators and freezers have digital temperature readouts that are monitored daily having
the temperature recorded on the log posted on each oven (Figures 7.17 and 7.18). All oven,
refrigerator, and freezer monitoring thermometers will be checked annually against a NIST-certified
thermometer and the result of these checks and any necessary corrections will be recorded on the
daily temperature logs.
The field notes, chain-of-custody/log-in form, sample checklist, and raw instrument data printouts
for each sampling event are included in individual project files and kept indefinitely. These files
are stored in a locked file cabinet. Once the laboratory data is entered into the computer data base
and checked by the QA officer, the samples containers are directed to be either cleaned or discarded
and the date is recorded in the sample Checklist form. Once the samples are discarded, the sample
checklist is dated and initialed.
7.3 Electronic Data Records
Data from field measurements and laboratory analyses are compiled and summarized in computer
spreadsheet format. We currently use Quattro Pro (Lotus 123 compatible) and Microsoft Excel.
Separate spreadsheets for each sampling event are kept, and a compilation of all data to date is
made. Spreadsheets are stored both on the hard drive of the computer, as well as onto write-
protected floppy disks. In the event of computer equipment failure, the data files on the floppy
disks are used as backup. The access to this electronic records is password protected. A hard copy
of the spreadsheets are stored in the project files indefinitely.
All deletions or corrections will be documented on a hard copy of the spreadsheet and the person
making the corrections will initial any changes.
Records of all aspects relating to changes, updates, problems and maintenance of the instrument
and database software will be maintained in the instrument logbooks.
7- 19
-------
Figure 7.17 Refrigerator/freezer temperature Log
Daily refrigerator / Freezer temperature Log
Room refrigerator
Section 7
Date: 11/25/98
Page 20 of 21
Date
Temp (UC)
Date
Temp (UC)
Date
Temp (°C)
7-20
-------
Figure 7.18 Oven temperature Log
Section 7
Date: 11/25/98
Page 21 of 21
DAILY OVEN TEMPERATURE LOG
ROOM OVEN
Date
Temp (UC)
Date
Temp (UC)
Date
Temp (°C)
7-21
-------
Section 8
Date: 11/25/98
Page 1 of 5
8.0 Analytical Procedures
Section 5 includes the parameters and their corresponding analytical method numbers
followed by SERF.
8.1 Laboratory Method Modifications
8.1.1 Autoanalyzer Methods
The methods for the inorganic nutrients (ammonium, nitrite, nitrate, and soluble reactive
phosphate) are modified to be analyzed simultaneously by wet chemical analysis using a four-
channel Alpkem RFA-300 (Rapid Flow Analyzer) Nutrient Analyzer (Alpkem Corp., Clackamas,
OR) following the procedure for each inorganic nutrient as suggested by the Alpkem Corporation.
The Alpkem methods for ammonium, nitrite, nitrate, and soluble reactive phosphate are listed in
Table 5.2. Total phosphorus of water and solid samples are also determined on the Alpkem RFA
following evaporation then dry ashing according to ASTM D-4638-86(9.2). Dissolved silica are
also determined on the Alpkem RFA using method USGS 12700-85 (a slight modification of EPA
method 370.1).
When determining concentrations of inorganic nutrients in seawater, SERF uses stock Sargasso
Seawater or Gulf Stream water as analyte-free water in preparing method blanks and calibration
standards. Prior to its use, the Sargasso Seawater or Gulf Stream water is analyzed to demonstrate
levels of analyte less than 20% of the MDL (meaning it is not detectable).
8.1.2 Total Nitrogen in Water Samples
SERF prefers not to use Total Kjeldahl Nitrogen plus nitrate and nitrite for the determination of
total nitrogen in water samples, because of the imprecision, insensitivity and tediousness of the
procedure. Instead, SERF determines Total Nitrogen using an ANTEK 7000 Elemental Analyzer.
This method was developed by Dr. Jones and ANTEK and involves injecting a small volume (5
|oL) of sample into an oxidation furnace, where all combined nitrogen is converted to Nitric Oxide
(NO). NO is then reacted with ozone to form Nitrous Oxide (NzO), which is a chemiluminescent
reaction. The light emission is detected and quantified by a photomultiplier tube. This method has
been determined to produce results comparable to the Total Kjeldahl Nitrogen plus nitrate method
with better estimates of precision and accuracy. A detailed description of this method along with a
method validation package are included in Appendix A.
8.1.3 Alkaline Phosphatase Activity
The alkaline phosphatase activity (APA) assay measures the activity of alkaline phosphatase, an
enzyme used by bacteria to mineralize phosphate from organic compounds (Hashimoto, Kitao, and
Keiichiro, 1985. Relationship between alkaline phosphatase activity and orthophosphate in the
present Tokyo Bay. Environ. Sci. Health, A20(7), 781-908). The determination of APA is currently
under research by SERF in an effort to determine if APA can be used as a biological indicator. The
assay is performed by adding a known concentration of an organic phosphate compound (3-c-
8- 1
-------
Section 8
Date: 11/25/98
Page 2 of 5
methylfluorescein phosphate (MFP)) to an unfiltered water sample. Alkaline phosphatase in the
water sample cleaves the phosphate from the MFP, leaving 3-o-methylfluorescein (MF), a highly
fluorescent compound. The concentration of MF at the end of the assay is proportional to the APA
of the sample.
APA measurements are made within 12 hours of sample collection. Duplicate 3 ml subsamples
from each sample bottle are pipetted into disposable cuvettes, and 30 |ol of MFP solution are added
to each. The MFP solution is prepared by dissolving 0.05255 g of anhydrous 3-o-methylfluorescein
phosphate in 100 mM Tris buffer, pH=8.7. The concentration of the final stock solution is 1 mM.
The fluorescence of the subsamples are immediately measured using a Gilford Fluoro IV or
Shimadzu RF-1501 Spectrofluorometer (excitation = 430 nm, emission = 507 nm) or Shimadzu
RF-Mini 150 Fluorometer (filters) and recorded. The subsamples are then incubated for 2 hours in
an incubator at 25 degrees Centigrade, and then the fluorescence of the samples is measured again
using the same excitation and emission wavelengths. The amount of MF produced in 2 hours is
quantified by comparison to a standard curve.
A stock standard solution of 3-o-methylfluorescein is diluted to make working standards that
bracket the concentration of MF in the APA assays after 2 hours. Working standards are made up
from standard stock solution and the fluorescence of the working standards is measured each day
that the analyses are performed. Standard stock solution of 3-o-methylfluorescein is prepared by
dissolving 0.0346 g of 3-o-methylfluorescein in 100 ml of methanol for a resulting concentration of
1 mM. Working standards of 0, 1, 2.5, 5 and 10 |JVI 3-o-methylfluorescein are then prepared by
diluting the standard stock solution in analyte-free water.
8.1.4 Total Phosphorus
For the determination of total phosphorus in water, soil, sediment, and tissue samples, SERF does
not use the typical ammonium persulfate digestion because of the explosive hazards and special
handling requirements associated with the use of this chemical. Instead, SERF uses the sample
preparation methods described by Solorzano and Sharp (1980. Determination of total dissolved
phosphorus andparticulate phosphorus in natural waters. Limnol. Oceanogr., 25(4), pp. 754-758;
see Appendix B). Total phosphorus is determined in water, soil, sediment, and tissue samples by
oxidizing and hydrolyzing all of the phosphorus-containing compounds in a sample to soluble
reactive phosphate, and determining the soluble reactive phosphorus concentration by the EPA
Method 365.1. For water samples, 100 ml of 0.17 N MgSCH is added to 5 ml of the water sample
in a 8 ml glass scintillation vial and evaporated to dryness in a 80°C oven (usually overnight). Once
dry, the sample is ashed at 550°C in a muffle furnace for 3.5 hours and allowed to cool overnight.
The sample is then hydrolyzed with the addition of 5 ml of hydrochloric acid. The normality of the
acid is dependent on the salinity of the sample, ranging from 0.06 N HCL for freshwater samples to
0.12 N HC1 for seawater samples. The samples are then shaken, put into an 80°C oven for 3 hours,
shaken again, then allowed to cool in the oven overnight.
Soil, sediment and tissue samples are prepared in the same manner as the water samples except they
are first dried in an 80°C oven for 2 days then ground. Approximately 25 mg of sample is put into
8-2
-------
Section 8
Date: 11/25/98
Page 3 of 5
a 20 ml glass scintillation vial with 1 ml of DIW and 200 jj] of 0.17 N MgSO4, then dried and ashed
as described for water samples, except they are hydrolyzed with 10 ml of 0.24 N HC1.
SERF has analyzed NIST standard reference material 1572 (citrus leaves) as well as replicate
samples of sawgrass according to the method described above. The results of these samples are
included in Appendix B. The concentration of phosphorus in the NIST standard is reported as 1300
|ig/gm ± 200 |ig/gm, depending upon the analytical method. SERP's analysis of the NIST standard
resulted in an accuracy range of 99% to 101% recovery. Precision ranged between 1 and 3% RSD.
8.1.5 Silica
For the determination of silica in water, SERF uses USGS method 12700-85 (a modification of the
EPA 370.1 method) using the protocol outlined by Perstorp Analytical Environmental for analysis
on an Alpkem RFA. This modification involves the addition acidified (with sulfuric acid)
ammonium molybdate and oxalic acid to the water sample, subsequent reduction with ascorbic
acid, and the spectrophotometric measurement of the resulting color development at 660 nm.
8.1.6 Chlorophyll a
A modification of the SM 10200H chlorophyll a method is used by SERF. Each sample is
collected according to the protocol given in Section 6.4.1. Saturated magnesium carbonate is not
added to each filter as preservation is not necessary since acetone is immediately added to the
filters. Extraction of the pigment is done in a microcentrifuge tube with 1.5 ml of acetone, in the
dark, at -20DC, for several days. Before analysis on a spectrofluorometer, each filter is pushed
down into the tip of the tube with a stirring rod, and centrifuged for 3 minutes. In a glass cuvette,
0.75 ml of the sample and 2.25 ml of acetone are combined and the relative fluorescence at an
excitation of 435 nm and emission of 667 nm is recorded.
8.2 Laboratory Operations
8.2.1 Laboratory Glassware Cleaning
All laboratory glassware is cleaned by rinsing with hot tap water, washing within Liquinox in hot
tap water, rinsing with hot tap water, rinsing with 10% HC1, then rinsing three times with analyte-
firee (deionized water) water. Glassware used for determination of total and dissolved organic
carbon analyses are also soaked in RBS35 (a dichromate-sulfuric acid mixture substitute) for 12
hours prior to rinsing. Once dried, all glassware is stored in one area of the laboratory in cabinets
separate from reagents and standards. Class A volumetric glassware is not baked.
8.2.2 Reagent and Chemical Storage
All reagents and chemicals used in the laboratory are listed on Table 8.1. The method of storage for
each reagent is also included on Table 8.1. Small quantities of reagents to satisfy a month or two of
8-3
-------
Section 8
Date: 11/25/98
Page 4 of 5
analyses are kept in the laboratory. Each class of chemical is kept in its own dedicated storage area.
Larger quantities of reagents are kept in a locked, outside storage area, with limited access. While
being used in the laboratory, compressed gas cylinders are secured upright with straps or chains.
New and empty compressed gas cylinders are also secured upright in an outside storage area that is
locked with limited access. As each reagent or chemical is received it is dated and initialed by the
person unpacking it. When the container is opened for the first time it is dated again and initialed
by the opener.
8.2.3 Waste Disposal
Wastes produced in the laboratory include liquid acids, bases, salt mixtures and acetone. Many of
these reagents are spent during sample prep and analysis. Any remaining waste acids and bases are
neutralized then washed down the sink to the sanitary sewer. Non hazardous salt mixtures are
diluted and washed down the sink. Small quantities of acetone is washed down the sink with large
volumes of water. Empty reagent bottles are rinsed with hot tap water and disposed in trash
receptacles. SERF never stores wastes; therefore, segregation and storage protocols are not needed.
Since all wastes are either put down the drain or in trash receptacles, no documentation of waste
disposal is needed. Bade County sewer discharge requirements and restrictions are followed.
-4
-------
TABLE 8.1
Reagent and Chemical Storage
Section 8
Date: 11/25/98
Page 5 of 5
Chemical
Laboratory Chemicals
Mineral Acids (a)
Liquid Bases (a)
Liquid Oxidizers (a)
Organic Solvents (a)
Compressed Gases
Dry Chemicals
pH Buffers
Method of storage
Stored in original glass containers in a cabinet dedicated to acid storage.
Stored in original glass containers in a cabinet dedicated to corrosive substances.
Stored in original plastic container in a dedicated cabinet.
Stored in original glass containers in a vented cabinet designed for flammable storage.
Cabinet in laboratory is locked and labeled as containing flammable substances.
Secured upright in laboratory and in outside, locked, storage area.
Stored in original containers in alphabetical order in a dry cabinet.
Stored in original containers in dedicated cabinet.
(a) Small quantities are stored in dedicated cabinets within the laboratory. Larger quantities are stored in an outside storage area that is kept locked with limited access.
-5
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Section 9
Date: 11/25/98
Page 1 of 17
9.0 Calibration Procedures and Frequency
9.1 Instrument Lists
Laboratory and field instrumentation are listed in Table 9.1.
9.2 Standard Receipt and Traceability
Primary standards traceable to NIST reference standards are purchased from reliable scientific
supply firms. The standards are received by the Chief Chemist, inspected, dated, initialed, and
stored in the appropriate storage area for that standard (desiccator, refrigerator, or freezer). Once
opened, the standards are dated and initialled again. The manufacturer's certificates for each
standard received are kept on file in a central location.
9.3 Standard Sources and Preparation
The source, preparation, and storage of standards are included on Table 9.2. Primary standards are
prepared by dissolving the source standard into analyte-free deionized water. Secondary and
working standards are prepared by diluting the primary standards in deionized water. Standard
preparation methods are detailed in the laboratory SOP. The date, concentration, chemical vendor,
lot number, and technician's initials for all standards made are recorded in the standard and reagent
preparation logbook (Figure 9.1). Once prepared, the standard bottles are dated and initialed, then
preserved according to the methods summarized in Table 9.2. Preservation method, storage
location, and expiration date are also recorded on the standard bottles. Primary standards are
produced at least quarterly, while working standards are produced daily. As no new standard or
reagent is prepared until the previous one has been either completely used or expired and
discarded, the logbook records link the preparation with every specific analysis.
9.4 Instrument Calibration
All field and laboratory instruments are calibrated, and checked for proper function prior to
analysis. Table 9.3 summarizes the calibration procedures for field instruments, while Table 9.4
summarizes calibration procedures for the laboratory instruments. Calibration procedures for all
instruments are described below.
9.4.1 Field Instruments
Field instrument calibration checks are recorded on the Field Instrument Calibration Sheet included
as Figure 7.2. These sheets are kept in project specific files.
9- 1
-------
TABLE 9.1
Instrument List
Section 9
Date: 11/25/98
Page 2 of 17
Manufacturer
Laboratory Equipment
Alpkem
ANTEK
Shimadzu
Gilford Instruments
Carlo Erba
Fisher
Hewlett Packard
Allied
Blue
HF Scientific
Model
4-channel RFA 300 Rapid Flow
Analyzer.
7000 Elemental Analyzer
TOC-5000 Total Organic Carbon
Analyzer
RF-1501 Spectrofluorometer
RF-Mini 150 Fluorometer
Fluoro IV Spectroluorometer
1 500 CHN Analyzer
Models 255G and 255D IsoTemp Ovens
Model 5890 Oven
Model 7303DA Balance
LabHeat Muffle Furnace
DRT-15CTurbidimeter
Parameters
Ammonium, Nitrate, Nitrite, Ortho-
phosphate, Total Phosphorus, Silica
Total Nitrogen
Total Organic Carbon, Dissolved Organic
Carbon
Chlorophyll, Alkaline Phosphatase
Activity
Alkaline Phosphatase Activity
Chlorophyll, Alkaline Phosphatase
Activity
Total Carbon, Total Nitrogen
Total Phosphorus
Total Carbon, Total Nitrogen
Bulk Density
All Parameters
Total Organic Carbon
Turbidity
Matrix
SW, PW, SED
SW,PW
SW,PW
SW,PW
S, SED, T
SW,PW, S, SED
S,SED
S, SED
All Matrices
S, SED
SW,PW
9-2
-------
Table 9.1 Continued
Instrument List
Section 9
Date: 11/25/98
Page 3 of 17
Manufacturer
Field Equipment
Orion
Orion
Orion
LI-COR
SEA-BIRD
Model
140 Conductivity/Salinity/
Temperature Meter
840 Oxygen Meter
SA 250 Meter and Ross
Combination Electrode
LI-1000 Datalogger
LI-193SA Quantum Light Sensors
SEACAT SEE 19-03
Conductivity/Temperature/
Depth Meter
Parameters
Salinity
Temperature
Dissolved Oxygen
pH
Photosynthetically Active
Radiation/Light Attenuation
Coefficient
Temperature Conductivity/Salinity
Dissolved Oxygen
Turbidity
Photosynthetically Active Radiation
Depth
Matrix
SW,PW
SW,PW
SW,PW
sw
sw
9-3
-------
Figure 9 I Standard and Reagent Logbook
Seenon ^
Date' ! 1/25/98
Pane 4 of 17
0
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M * I -
V/io^Sj
7fefi/^
iN^
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'i/yt
for*I I I (
SrviJ
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ftm
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9-4
-------
Section 9
Date: 11/25/98
Page 5 of 17
TABLE 9.2
Standard, Source, Preparation, and Storage.
Instrument/Parameter
Alpkem RFA Auto-
Analyzer
Ammonia
Nitrite
Nitrate
Phosphate
Total Phosphorus
Silica
Shimadzu
TOC-5000 Total
Organic Carbon Analyzer
ANTEK 7000 N Total
Nitrogen Analyzer
Total Nitrogen
Standard
Sources
Fisher
Scientific, Inc.
NIST
Fisher
Scientific, Inc.
Fisher
Scientific, Inc.
How Received
Dry, ACS Reagent Grade
powder
....Solids
Dry Soil and Plant
Standards
Dry, ACS Reagent Grade
powder
Dry, ACS Reagent Grade
powder
Source Storage
Room Temperature
Desiccator Room
Temperature
Room Temperature
Room Temperature
Preparation from source
Primary from source:
5 |omol/ml NFL|+
1 |^mol/ml NC>2
10|amol/mlNO3"
1 Nmol/mlPC>43"
5 |^mol/ml SiC>2
Mixed from primary (for
dissolved nutrients):
1.56|amol/mlNH4+
1.25|amol/mlNO3"
0.31|amol/mlPO43"
Working from mixed standard
Working from primary for NC>2
, SiC>2, and Total Phosphorus
(see attached SOPs for lab /
field nutrient analysis and for
Total Phosphorus)
Primary from source: 10,000
mgC/1
Working from primary:
0,5,10,20 mgC/1
Primary from source:
2mgN/l
Lab Stock
Storage
Room
Temperature
with
Chloroform
Room
Temperature
with
Chloroform
Not Applicable
Refrigerate
Not Applicable
Room
Temperature w/
chloroform
Preparation
Frequency
Quarterly
Quarterly or as
needed
Daily
Quarterly
Daily
Quarterly or as
needed
9-5
-------
TABLE 9.2 Continued.
Standard, Source, Preparation and Storage
Section 9
Date: 11/25/98
Page 6 of 17
Instrument/Parameter
Fluorometer Chlorophyll
Alkaline Phosphate
Activity
Carlo Erba
Total Carbon
Total Nitrogen
Turbidity
Standard
Sources
Sigma, Inc.
Fisher Scientific, Inc.
NITS
HF Scientific, Inc.
How Received
Dry, ACS Reagent Grade
powder
Dry ACS
Reagent Grade
SRM
Sealed 0.02 NTU reference
standard sent with
Instrument (calibrated in
each applicable range)
Source Storage
Dessicator
Freezer
Room Temperature
Desiccator
Room Temperature
Room Temperature
Preparation from source
Primary from source:
5 mg/1 chl a in acetone
Working from primary:
8 standards: 0-0.5 mg/1
Primary from source:
1 mmol/lMF
Working from primary:
0,1,2. 5,5, 10 nmolAMF
Used Directly
Used Directly
Not Applicable
Lab Stock
Storage
Freezer
Not
Applicable
Freezer
Not
Applicable
Desiccator
Desiccator
Not
Applicable
Preparation
Frequency
Quarterly or as
needed
Daily
Daily
Daily
Replace
annually
9-6
-------
Section 9
Date: 11/25/98
Page 7 of 17
TABLE 9.2 Continued.
Standard, Source, Preparation and Storage
Instrument/Parameter
Orion pH Meter
PH
Orion Model 840 DO meter
Analytical Balances
Pipetman and Eppendorf
Pipets
Standard
Sources
Fisher
Scientific, Inc.
Orion
Troemner
DI Water
Weight
checked
How Received
pH 4.0, 7.0 and 10.0
solutions
Calibration Sleeve with
Instrument
Stainless Steel
(Class S weights)
In-house
Source Storage
Room Temperature
Room Temperature
Room Temperature
Room Temperature
Preparation from source
Not Applicable
Not Applicable
Not Applicable
Not Applicable
Lab Stock
Storage
Not Applicable
Not Applicable
Not Applicable
Not Applicable
Preparation
Frequency
Replace on
expiration
Not Applicable
Daily,
Semiannual
Service
Calibration
Daily, factory
calibrated as
needed
9-7
-------
Section 9
Date: 11/25/98
Page 8 of 17
TABLE 9.3
Field Instrument Calibration
Instrument
Orion S/C/T Meter
Salinity/Conductivity
Temperature
Orion Dissolved Oxygen
Meter
Orion pH Meter
HF Scientific
Turbidimeter
Calibration Type
Continuing Check
Continuing Check
Initial
Continuing
Initial
Continuing
Initial
Continuing
No. of Standards
o
J
1
1
1
2
1
1
2
Type of Curve
Linear
Linear
Linear
Linear
Linear
Linear
Linear
Linear
Acceptance/
Rejection Criteria
Salinity or conductivity
within 5% of standard
value
Temperature within 0. 1
degrees of NIST
thermometer value
Slope must be within
0.7-1.2
Result within +1-5% of
Winkler titration
Reading must be with
0.05 pH units.
Reading must be within
0.05 pH units.
Reading within 0.01
NTU
Reading within 0.01
NTU
Frequency
Daily, prior to use,
every 4 hours, and end
of each use.
Daily
Daily, prior to use,
every 4 hours, and end
of each use.
Annually
Daily, prior to use.
Every 4 hours, and end
of each use.
Daily, prior to use,
every 4 hours, and end
of each use.
Quarterly
9-8
-------
Section 9
Date: 11/25/98
Page 9 of 17
TABLE 9.3
Field Instrument Calibration
Instrument
LI-COR Light Meter
SEA-BIRD CTD
Calibration Type
Continuing Check
Continuing Check
No. of Standards
0
1
1
Type of Curve
Log
Linear
Linear
Acceptance/
Rejection Criteria
Reading between
0.95-1.05 over a
non-reflective
surface in air.
Salinity or
conductivity within
5% of standard value
Temperature within
0.1 degrees of NIST
thermometer value
Frequency
Daily, prior to use,
every 4 hours, and
end of each use.
Daily, prior to use,
every 4 hours, and
end of each use.
Daily
9-9
-------
Section 9
Date: 11/25/98
Page 10 of 17
TABLE 9.4
Laboratory Instrument Calibration
Instrument/
Analysis
Alpkem Rapid
Flow Analyzer
NH4+
NO2
NO3"
PO43"
Total P
Si02
Shimadzu Total
Carbon
Analyzer
ANTEK
Elemental
Analyzer
Total Nitrogen
Gilford and
Shimadzu
Spectro-
fluorometers
Carlo Erba
Total Carbon,
Total Nitrogen
Calibration
Type
Initial + Final
Continuing
Initial
Continuing
Initial
Continuing
Initial
Continuing
Initial
Continuing
No. of
Standards
5
1 Blank
1 Intermediate
4
1 Blank
IHigh
5
1 Blank
IHigh
5
1 -Intermediate
1
IHigh
Type of
Curve
Linear
Linear
Linear
Linear
Linear
Acceptance/
Rejection
Criteria
R>995
Value of zero
90-110%ofexp.
value
R>995
90% -110% of
value
R>0.99
Value of zero
90% -110% of
value
R>995
90% -110% of
value.
90%-110%of
value.
Frequency
Daily, Prior to
use .
Every 20
samples
Every 20
samples
Daily, Prior to
use .
Every 20
samples
Every 20
samples
Annually or
upon placement
ofpyrolysis
tube
Daily, prior to
use, every 20
samples, and
end of run
Daily, prior to
use.
Every 20
samples.
Daily, prior to
use, every 20
samples, and
end of run.
9- 10
-------
Section 9
Date: 11/25/98
Page 11 of 17
9.4.1.1. Salinity/Conductivity/Temperature
The Orion model 140 Salinity/Conductivity/Temperature meter, with a 014010 4-electrode probe,
is factory calibrated and compensated for temperature. Salinity and/or conductance is checked daily
with a solution of known salinity or conductance, while temperature is checked daily against an
NIST thermometer. The S/C/T meter probe and the NIST thermometer is inserted into 25 ml of the
salinity and/or conductance standard. A conductivity and/or salinity reading within 5% of the
standard value, and a temperature within 0.1 degrees are considered acceptable. Values outside
these acceptance criteria will require the unit to be factory calibrated.
9.4.1.2. pH
The pH meter/probe is calibrated before each field day. We use an automatic temperature
compensation (ATC) probe to adjust for differences in temperature between standards and samples.
Standard pH buffers (pH 7.00, cat. no. SB108-500; and 10.00, cat. no. SB116-500) are purchased
from Fisher Scientific. The two-point calibration procedure is as follows:
1. Choose pH 0.01 mode.
2. Rinse probes (pH combination and ATC) in DIW. Blot dry. Rinse with ca. 2 ml of
pH 7.00 buffer. Immerse probes in pH 7.00 buffer.
3. Press Cal button. The meter will display ".1." and the pH value of the buffer; the
meter automatically recognizes the pH of the buffer solution. When pH stabilizes,
press Enter. The display will freeze for 3 seconds, and then display ".2.".
4. Rinse probes in DIW. Blot dry. Rinse with ca. 2 ml of pH 10.01 buffer. Immerse
probes in pH 10.00 buffer.
5. Wait for pH display to stabilize, and press Enter. Display now will say "PH" and be
ready for sample measurement.
6. Rinse probe in DIW, place probe in pH 7.00 buffer, and check that pH meter
reading is within 0.05 pH units.
The response of the pH meter is checked with the pH 7.00 buffer after 4 hours of use and at the end
of each use. If the response is outside 0.05 pH units, the two-point calibration is repeated.
In case of low pH level samples, the pH 4.00 and pH 7.00 standards will be used in the calibration
procedure.
9.4.1.3. Dissolved Oxygen
The probe of the Orion model 840 Dissolved Oxygen meter is continuously polarized when
attached to the meter; if it has been disconnected for over 1 h it requires 50 min to repolarize. No
readings or calibration should be attempted within 50 min of connecting the probe. Calibration is
preformed at the beginning of every field day. A one point calibration is done, there is no zero
current on the probe. The calibration procedure is as follows:
1. Saturate the sponge in the calibration sleeve with deionized water.
2. Switch the meter on and wait 20 min for equilibration.
9- 11
-------
Section 9
Date: 11/25/98
Page 12 of 17
3. Depress and hold the Mode Key Pad until the display cursor is at Cal.
4. Depress quickly and release the Mode Key Pad. The display will show three dashes
(—) and the slope of the electrode/membrane system. If the slope is outside the
range 0.7 -1.2, the probe must be serviced.
5. Remove the calibration sleeve. The probe can now be used to make field
determinations of dissolved oxygen concentration.
In addition, the response of the D.O. meter is checked against a Winkler titration on an annual
basis.
9.4.1.4 Turbidity Meter Calibration
A 0.02 NTU reference standard, EPA approved and shipped with the instrument, is used to
calibrate the instrument before each day's analyses. Additionally, higher turbidity standards,
prepared from a 4000 NTU stock Formazin solution, are used to check the instrument calibration
annually. The stock Formazin is purchased from HF Scientific, Inc., Ft. Meyers, FL.
Calibration is accomplished by inserting the 0.02 NTU standard cuvette into the instrument in the
proper orientation and the Reference Adjust Knob on the instrument is turned until the readout
displays 0.02. The standard cuvette must be clean and unscratched. The cuvette is wiped with lint-
free wipers and inserted so that the index line on the cuvette matches the instrument's index line.
9.4.1.5 Light Meter Calibration
The calibration of the LI-COR instrument is checked on a daily basis. The instrument is held in an
upright position in the air over a non-reflective surface such as still water, pavement, or grass (not a
white boat or concrete dock). The instrument calibration reading is recorded and should be
between 0.95 to 1.05.
9.4.1.6 CTD Calibration
Salinity/conductance is checked daily with a solution of known salinity/conductance, while
temperature is checked daily against a NIST thermometer. A conductivity reading within 5% of the
standard value, and a temperature within 0.1 degrees are considered acceptable. Values outside
these acceptance criteria will require the unit to be factory calibrated. The unit is also factory
calibrated on an annual basis.
9.4.2 Laboratory Instruments
9.4.2.1 Alpkem Rapid Flow Autoanalyzer
The autoanalyzer is calibrated daily, using a five-point calibration standards of ammonium, nitrate,
nitrite, and phosphate. Total phosphorus and silica are each analyzed separately on the
autoanalyzer, also using a five-point calibration. Standards are prepared in the matrix to be
analyzed (i.e. freshwater or seawater). The five-point calibration is checked at the beginning of
each run. A linear calibration with an R square of greater than 0.995 is considered acceptable.
9- 12
-------
Section 9
Date: 11/25/98
Page 13 of 17
Blanks are inserted after every 10 samples to monitor and correct for baseline drift. A log book is
kept to monitor the calibration curve parameters. The instrument is recalibrated if accuracy is not
within 90 and 110 percent. If continued attempts at calibration do not meet the accuracy
requirements, then the instrument is cleaned and overhauled.
9.4.2.2 Total Organic Carbon Analyzer
A four-point standard curve consisting of 0, 5, 10, and 20 mgC/1 standards is run prior to every run.
A linear calibration with an R square of greater than 0.995 is considered acceptable. A log book is
kept to monitor the instrument calibration. The instrument is recalibrated if accuracy is not within
90 and 110 percent. If continued attempts at calibration do not meet the accuracy requirements,
then the instrument is cleaned and overhauled.
9.4.2.3 Total Nitrogen Analyzer
A five-point calibration of the ANTEK Total Nitrogen Analyzer is conducted annually (see
Appendix A), or upon replacement of the pyrolysis tube. A two-point calibration is prepared daily
prior to every run using a 2.0 mgN/1 standard. Due to the nature of the Total Nitrogen Analyzer,
zero total nitrogen has a signal of 0. Intra-run drift in the calibration curve is monitored by insertion
of additional 2.0 mgN/1 standards after every 10 samples and at the end of the run.
9.4.2.4 Fluorometer
Calibration of the fluorometer for chlorophyll determination is done using solutions of known
chlorophyll content dissolved in acetone. Chlorophyll standard is made from purified chlorophyll-a
obtained from Sigma Chemical Co. The concentration of the standard solutions are measured
spectrophotometrically, and a series of chlorophyll standards are prepared that bracket the range
from 0 to 0.5 mg/1. Fluorescence of these standards is determined, and a standard curve is
generated.
A five-point standard curve of 3-o-methylfluorescein is used to calibrate the fluorometer for
alkaline phosphatase activity (APA), prior to and at then end of every run. An R square of greater
than 0.995 is considered acceptable. Values outside this range require recalibration.
9.4.2.5 Carlo Erba
The Carlo Erba is calibrated with one standard of known total carbon and total nitrogen
concentrations. The standard is run prior to every run, after every 10 samples, and at the end of a
run. An accuracy between 90 a 110 % is considered acceptable.
9.4.2.6 Balances
The balances are calibrated daily using 10 mg, 1 g, and 100 g weights and these calibration checks
are recorded in a logbook (Figure 9.2).
9.4.2.7 Pipettes
9- 13
-------
Section 9
Date: 11/25/98
Page 14 of 17
Pipettes are checked following the procedure in Figure 9.3 and the results of these checks are
recorded in a logbook (Figure 9.4). If the pipette fails to achieve a weight / volume value within the
specified range, it is recalibrated with the appropriate tools. Any needed recalibration is recorded in
the logbook.
9- 14
-------
Figure 9.2 Balance Calibration Log
Section 4>
Date: 11/25/98
Page 15 of 17
U,
7ih i
' G Q 9
J
|OO.Oo?
D.OIO?
!D5£)Of
o
/OH (.003
I.
1 1
PL
tOO-CI
ICD-DC-
J/ff/fB^f^ 1.0*75 |o».o0{ fl'0|a |.
" jT I f™"/' * /*V d. -*. • j • tl «%. ™*
^1 JL
9- IS
-------
Section ^
Date: 11/25/98
Pige Idol" II
Figure <> 3 Pipctie Calibration Log
Jif
.f/(W0 J:
Ji^r
, 010 I a^J-**^ p^
PIG 3?4 i°"
o-
ifyaso '2»f* 6
M, *J
WAJ
PL
|f-5soo
^irfr vaot^- ^ t^~
% ,looi *" ^^~
coit,i ^" P^
r v • ', J
-------
Section 9
Dale: IU2S/°B
Page 17 of 1 ?
Figure 9 4 Daily Pipette Calibration Instructions
DAILY PIPETTE CALIBRATION INSTRUCTIONS
1. Record the data, pipttt* model (ju«T P-SQMi, P-100, etc.), and
pipette ID (i.e. 321A, 316 prep, etc,I,
2. Sat the pipette on the highest setting (e.g* 20-0 pi for a
P-200^ . Always dial SJQ.WH to th* setting (dial up a little p«at the
eatting, then dial down).
3. Dispense that volya* of DIM into m tarad w*igh cup,
4* If the weight is within the acceptable rang« (••• chart below or
on th* balance), th*n record the w«igtit, put a diack th* OK eodttmn,
and initial,
5,. If the weight is QH£ within the acceptable rang*, try at least
two more tines. If the weight is still not acceptable, record the
last u*ight obtained, put an x in the OK column, initial, and faring
th* bad pipette to the QA Officer.
Accuracy rangei
4,5700 - 5.0300
P-1000 0,9920 - 1.0080
P-^QO Q»l§§4 - 0.2016
P-lOO O.OS9J - O.IOO8
V~?,Q O.Olffi - 0,0101
P-10 0.0099 - 5,0101
- 17
-------
Section 10
Date: 11/25/98
Page 1 of 3
10.0 Preventive Maintenance
10.1 Routine Maintenance
Preventive maintenance is an essential part of a properly functioning laboratory. For field
equipment, general maintenance includes cleaning, proper storage, check batteries and keeping the
instruments fully charged. In addition, all probes are checked and replaced as necessary. The
laboratory equipment receives thorough cleaning after every use. A more detailed summary of the
maintenance procedures conducted on each piece of laboratory equipment is presented in Table
10.1, while field equipment is presented in Table 10.2.
10.2 Maintenance Documentation
Log books are kept on each piece of equipment. Instrument response to calibration standards, the
number of samples run, and the hours of instrument use are recorded in each log book. In addition,
all maintenance activities for each instrument are recorded in the log book. A record of service
performed by the manufacturer or other service contractor is kept in the instrument files.
10.3 Contingency Plans
SERF maintains a stock of spare parts for all analytical instruments. Instruments which can not be
fixed by SERF personnel are sent to the manufacturer or other service contractor. If equipment
failure occurs, SERF will either operate backup equipment at its laboratory, or it has access to
backup equipment in other laboratories at FIU. In any event, sample holding time will not be
jeopardized.
10- 1
-------
TABLE 10.1 Laboratory Equipment Preventive Maintenance
Section 10
Date: 11/25/98
Page 2 of 3
Instrument
Activity
Frequency
AlpkemRFA
Clean and inspect tubing and fittings
Clean Platens
Wash manifold/flow cell
Check cadmium column
Inspect filters
Change tubing
Recondition pump rollers
Service Maintenance
Daily
Daily
Daily
Daily
Every 200 hours
Every 200 hours
Every 200 hours
Semiannually
Shimadzu TOC Analyzer
Check 1C reagent level
Check DIW level
Check gases
Replace tubing
Replace needles
Change columns
Daily
Daily
Daily
As needed
As needed
Every 2000 samples
Carlo ERBA
Check gas flow
Monitor Voltage
Reduce copper column
Repack water trap
Repack oxidation column
Daily
Daily
Every 150 samples
Every 150 samples
Every 350 samples
ANTEK 7000N Nitrogen
Analyzer
Replace autosampler septa
Replace column septa
Monitor vacuum pressure (25 inHg)
Change combustion column
Every 80 Samples
Every 40 Samples
Daily
As Needed
Fluorometer
Clean and inspect sample chamber
Daily
Analytical Balances
Clean weighing compartment
Clean interior/exterior
Check calibration
Factory service calibration
Daily
Monthly
Daily
Semiannually
Ovens, Refrigerators, and
Freezers
Check temperature
Calibrate with NIST thermometer
Daily
Annually
10-2
-------
Section 10
Date: 11/25/98
Page 3 of 3
TABLE 10.2 Field Equipment Preventive Maintenance
Instrument
Activity
Frequency
pH meter
Check batteries - recharge
Check liquid in probe
Replace probes
Rinse with analyte-free water
Daily
Daily
Every 6 to 9 months
Before and after each use
Dissolved oxygen meter
and S/C/T meter
Check batteries - recharge
Check probes
Daily
Daily
Turbidimeter
Check battery - recharge
Check light source
Check cuvettes are scratch-free
Daily
Daily
Daily
LI-COR Light Meter
Check battery - recharge
Check calibration
Factory service calibration
Daily
Daily
Annually
SEA-BIRD CTD
Check battery - recharge
Check Tygon tubing is secure and
filled with DIW
Check all probes and connections
Check calibration
Factory service calibration
Daily
Daily
Daily
Daily
Annually
10-3
-------
Section 11
Date: 11/25/98
Page 1 of 5
11.0 Quality Control Checks and Routines to Assess Precision, Accuracy and
Calculation of MDLs
SERF uses both field and laboratory QC check samples. Each of these QC check samples are
included on Table 11.1.
11.1 Field QC Checks
SERP's field quality control includes the collection of a duplicate sample for each parameter
analyzed at every sampling location. In addition, according to FDEP-QA-001/90, one equipment
blank is prepared for every 20 samples. This blank is prepared in the field prior to sampling by
pouring or rinsing using analyte-free water on each piece of precleaned field sampling equipment.
Equipment blanks for surface water samples are collected by pouring DIW into a syringe then into a
sample bottle. For analyses requiring filtration, the equipment blank is prepared by running DIW
through the filter. For pore water samples, the equipment blank is prepared by running DIW
through the peristaltic pump then into sample bottles. For soil and sediment samples, the
equipment blank is prepared by pouring DIW over the sampling equipment and into the appropriate
sample bottles. All duplicate and blank samples are placed in appropriate bottles and preserved
according to each analysis. The collection of blank samples are recorded in the field notebook. For
field equipment cleaned in the field, an additional equipment blank is prepared following the field
cleaning procedures at a frequency of one per sampling event or one every 20 samples, whichever is
greater. The time and number of all equipment blanks are recorded in the field notebook.
Field instrument checks are completed prior to each sampling event, once every four hours of
operation and at the end of the field sampling event. The results of the field QC checks are
recorded on the Field Instrument Calibration Sheet (Figure 7.2). Field equipment not functioning
properly are not used to collect data until they are brought back to the laboratory for maintenance.
Duplicate field equipment and probes are kept on hand in the laboratory if needed.
If problems arise with the Dissolved Oxygen (D.O.) meter, and D.O. is an important parameter of
the specific project, then the field sampling should be discontinued until the D.O. meter is brought
back to the laboratory for maintenance. If problems arise with the S/C/T meter, samples can be
collected in clean 125 ml bottles and brought back to the laboratory for salinity/conductivity
determination within 24 hours. Temperature can be determined in the field with the D.O. meter.
Since the D.O. meter needs to be manually adjusted for salinity, take all D.O. measurements at a
salinity of 0 ppt, and record this in the field notebook. D.O. measurements are later adjusted to the
sample salinity determined in the laboratory.
11 - 1
-------
Section 11
Date: 11/25/98
Page 2 of 5
Table 11.1
Quality Control Checks
Type
Field
Equipment Blank (non-
field cleaned equipment)
Equipment Blank (field
cleaned equipment)
Field Duplicate
Field Measurements
QC Check Standards
pH meter
Description
Fill or rinse all pre-cleaned sampling equipment
(tubing, syringes, filter holders, etc.) with analyte-
free water, fill appropriate sample containers and
preserve according to each analysis.
If equipment is cleaned on-site, then prepare
additional equipment blank sample by filling or
rinsing the field-cleaned equipment with analyte-
free water, filling the appropriate sample containers
and preserve according to each analysis.
A duplicate sample collected and analyzed for the
same parameters as the original sample.
Record the results of calibration check standards for
all field measurement equipment.
Record two or more pH readings in field notebook
until sequential values are within 0.02 pH units.
No. of Samples
per event
1 or more
1 or more
1 or more
Frequency (all parameter groups)
1 prepared on-site at the beginning of the sampling event
1 prepared on-site at the beginning of the sampling event, and
after every 20 samples or 5% whatever is greater
1 at the end of the sampling event
1 after every 20 samples or 5% whatever is greater
Every sample is collected in duplicate
Beginning of each sampling event, once every four hours, and
again at end of the sampling day.
Every sample.
TABLE 11.1 Continued.
11 -2
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Quality Control Checks
Section 11
Date: 11/25/98
Page 3 of 5
Type
Description
No. of Samples
per Event
Frequency (All parameters)
Laboratory
Method Reagent blank
Analyte-free water: DIW for freshwater samples,
and Gulf Stream for seawater samples
1 or more
samples
1 at beginning of a run, after every 20 samples, and at the end.
Replicate Samples
Re-analysis of a sample
1 or more
samples
Every sample is analyzed in replicate.
Matrix Spikes
One sample from a set (not blanks) is split in two,
and one of the duplicates is spiked with a known
concentration prior to sample preparation.
1 or more
samples
1 sample in a set or at a frequency of 5%, whichever is greater.
Continuing Calibration
Standards
One intermediate standard and one high standard.
1 or more
samples
Analyzed at the beginning of each run, and at a frequency of 5%,
thereafter.
Quality Control Check
Standards
Standards from an independent source that are
certified and traceable (i.e. NIST standards). Can
be interchanged as one of the continuing
calibration check standard.
1 or more
samples
Analyzed at the beginning of each run to check the initial
calibration of the standard curve.
Quality Control Check
Samples
Samples of known analytical concentration that are
submitted blind to the analyst. These samples are
either prepared in house or obtained from an
independent source
1 or more
samples
Analyzed in duplicate quarterly.
11 -3
-------
Section 11
Date: 11/25/98
Page 4 of 5
11.2 Laboratory QC Checks
SERP's standard laboratory QC checks includes blanks, replicates, and QC standards and QC check
samples. Method reagent blanks consisting of analyte-free water (DIW for freshwater samples, and
Sargasso Seawater or Gulf Stream water for seawater samples) are prepared exactly like a sample
and run prior to each instrument calibration, and after every 20 samples. For the autoanalyzer,
method reagent blanks are run between every sample.
As standard practice SERF collects all field samples in duplicate (see Section 11.1). In addition,
SERF analyzes all samples in replicate, thereby, producing four data points for one sample location.
This QA protocol allows for easy identification of unusual sample results, and provides a constant
check of analytical precision and accuracy.
Continuing calibration standards (CCS) consisting of one intermediate standard and one high
standard are run at the beginning of each run and at a frequency of 5% thereafter. The first CCS
should be 90-110 % of expected value and the following ones should fall in a 90-110 % range of
the original CCS.
Quality control check standards are certified standards from an independent source that are
analyzed at the beginning of a run to check the calibration of the standard curve. The % Recovery
(%R) related to the expected Quality control check standard concentration is calculated and
recorded. The control limits for the %R are +/- three standard deviations of the historical average ,
with warning limits set at +/- two standard deviation of the historical average. New limits (both
control and warning) based on historical data are calculated on a quarterly basis . These standards
may be run in the place of one of the continuing calibration standards.
Matrix spikes samples are prepared by splitting a sample from the set (not a blank) into two
duplicates and spiking one of the duplicates with a known concentration. The concentration from
the unspiked duplicate is subtracted from the spiked result and the percent recovery by comparing
the remainder to the known spike concentration. Quality control check samples are prepared in-
house or from an NIST certifying source. These samples are submitted blind to the analyst on a
quarterly basis to check instrument and user performance. If the blind QC check sample result is
not acceptable, the results will be reported in the QA report to FDEP.
11.3 Routine Method Used to Assess Precision and Accuracy
Precision and accuracy of each analytical parameter determined in the laboratory is determined on a
daily basis. Precision is defined as the agreement or closeness of two or more results. As stated
above, SERF collects all field samples in duplicate, and performs a duplicate analysis on each
sample, thereby, producing four results for one sample location. SERF determines the mean (X)
and standard deviation (SD) of these four data points and estimates precision in terms of percent
relative standard deviation (% RSD) using the following equation:
%RSD= SD * 100
X
11 -4
-------
Section 11
Date: 11/25/98
Page 5 of 5
The control limits for precision are set at +/- two standard deviations of the mean.
The Relative Percent Difference (RPD) is another parameter used to monitor the precision of our
analytical results and it is calculated for Matrix Spike duplicates and/or sample duplicates. The
acceptance criteria is usually RPD <= 20 %.
Accuracy is defined as the agreement between the analytical results and the known concentration.
Accuracy is determined by running matrix spikes (MS) and/or standard reference materials (SRM)
and is determined as percent recovery (% R) according to the following equations:
%R= Cs-Cu * 100.
MS S
Where:
Cs = concentration of spiked sample
Cu = concentration in unspiked sample
S = expected concentration of spike in sample
%R = percent recovery
% R = Sample Concentration * 100
SRM True Value
The control limits for accuracy are +/- three standard deviations of the historical percent recovery
average , with warning limits set at +/- two standard deviation.
The results obtained for each quality control check are compared to their acceptable limits for
precision and accuracy on a daily basis. New limits (both control and warning) based on historical
data are calculated on a quarterly basis .
11.4 Method Detection Limits
Method detection limits (MDLs) have been determined according to the EPA procedure described
in 40 CFR Part 136, Appendix B, revision 1.11. Specifically, seven or more replicate samples
containing an analyte at a known low concentration are analyzed according to the appropriate
analytical procedure for that analyte. A standard deviation for the replicates is determined and the
MDL is computed as 3 times the standard deviation. The practical quantitation limit (PQL) is
defined as 12 times the standard deviation. MDLs and PQLs are verified/updated once a year.
11 -5
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Section 12
Date: 11/25/98
Page 1 of4
12.0 Data Reduction, Validation and Reporting
12.1 Data Reduction
Data reduction is not necessary for field data, as field measurements are read directly from the field
instruments in their appropriate reportable units. The pH meter, SCT meter, and dissolved oxygen
meter are automatically compensated for temperature. Salinity read from the SCT meter by the field
technician and then input to the D.O. meter by the field technician, where the D.O. is automatically
corrected for both salinity and temperature. Each technician is responsible for data entry of field data
from the field notebook into Quattro Pro (Lotus 123 compatible) spreadsheets.
All data reduction is performed according to the protocols specified by the analytical methods listed in
Section 5. Laboratory data reduction is mainly completed by computers associated with the laboratory
instruments. Calculation of standard curves and sample results in comparison to the standard curves is
determined by the analytical instrument computer. Analytical runs are recorded in the instrument
computer under the project name and sampling event number. If a sample is outside of the standard
curve, the analytical instrument automatically performs the required dilution, and calculates the sample
result based on the dilution. If a sample is suspected of being far beyond the standard curve, the
laboratory analyst may perform the dilution themselves. In this case, the laboratory analyst records the
dilution in the instrument log book, as well as on the instrument printout. All instrument printouts are
identified by their project name and sampling event number. In addition, any analytical conditions
(i.e. voltage setting, wavelength, flow rate, injection volume, etc.) that deviate from those listed in the
SOP are recorded on the instrument printout and logbook in detail.
Replicate sample results are further reduced to provide one data point per sampling location. SERF
collects duplicate samples for all analyses at every sampling location. In addition, SERF completes a
duplicate or triplicate analysis of each duplicate sample, producing at least four replicate results for
each sampling location. Each of the four data points are input to a Quattro Pro or Excel spreadsheet by
the analyst and the mean and standard deviation of each sample result is calculated. Any replicate
result that is two standard deviation away from the mean (+ or -) is removed from the replicate data
set, by crossing out the value on the instrument printout, as well as from the input spreadsheet.
12.2 Data Validation
The Chief Chemist and analytical technicians are responsible for the collection, custody, storage, and
analysis of all of the samples. It is their responsibility that the samples are analyzed within the
appropriate holding times. They are also responsible for the proper maintenance of all equipment and
cleaning of laboratory glassware. They provide the first check on field and laboratory instrument
calibration, method blanks, and equipment blank results, and ensure that all method specifications
have been met. If problems arise during an analysis, such as failure of proper equipment calibration, or
unusual sample results, it is their responsibility to verbally notify the laboratory director as soon as
possible.
The QA Officer is responsible for a second check of instrument calibration (both laboratory and field
instruments) by comparing the present instrument responses to historical values. In addition, the QA
officer checks the results of method blanks, equipment blanks, and sample replicates and determines
12- 1
-------
Section 12
Date: 11/25/98
Page 2 of4
that the instrument precision and accuracy is within the QA objectives listed in Section 5. Obvious
anomalous results are subject to re-analysis.
Dr. Jones, the director, is responsible for the final review of all data and documents that are submitted
to the client (FDEP; SFWMD). Due to his extensive experience in analytical chemistry, Dr. Jones can
apply both objective and subjective techniques to data review. From his knowledge of nutrient
chemistry, Dr. Jones can interpret the data in its environmental context. In addition, through his
collection of historical data in South Florida, Dr. Jones can identify potential outliers in a data set.
12.3 Data Reporting
Once the instrument calibration and sample results have been validated, they are entered into input
data files. The laboratory technicians are responsible for providing a first check of data entry. Data
reports are prepared in Quattro Pro or Excel spreadsheets.
When using Quattro Pro, a standard input file is used for data entry of all field and raw laboratory data
(secondary standards, sample results, and sample replicates). A second spreadsheet file performs
calculations for data reduction, such as determination of replicate means and standard deviations, and
conversion of sample results into reportable units of interest (i.e. moles/1, mg/1, ppm, etc.). A third
spreadsheet file is then produced as output from the second spreadsheet and is the final data report in a
client (FDEP; SFWMD) requested format.
The Excel workbooks consist of three sheets: one for the data input, a second one where raw data is
filtered eliminating those individual values that are outside the mean +/- 2 SD acceptance range, and a
third one where the final printout steps are performed. The second sheet contains two Visual Basic
macros that perform all the calculations, unit conversions and format adjustments needed for the data
report, producing the final report printouts that are sent to the customer.
For data reports issued to the client for DEP-related work, or for reports issued directly to DEP, the
following information will be included:
a. Laboratory name, address, and phone number
b. Client name and/or site name
c. CompQAP number
d. Client or field identification number
e. S ampl e i dentifi cati on numb er
f Method number of each analysis
g. Analytical result with applicable data qualifiers
h. Date of sample preparation
i. Time of sample preparation if holding time is in hours
j. Date of sample analysis
k. Date and time of sample collection
1. Identification of all laboratories providing analytical results, including their CompQAP
number
The QA officer provides a second check of the input data, spreadsheet calculations, and output file
12-2
-------
Section 12
Date: 11/25/98
Page 3 of4
formats. Once all of the data has been validated, the QA officer will provide a written statement of
validation along with the data report. An example of a final data report form is included as Figure
12.1.
12.4 Data Storage
Data input files and final report files are stored on hard drive and write-protected floppy disks using
names that readily identify a sampling event. Files labeled by sampling event are stored in a locked
file cabinet with limited access by SERF employees only. These files contain hard copies of the file
input and output as well as all raw laboratory data sheets and field notebook sheets. Raw laboratory
output data sheets are identified with a date, analysis, analyst initials, and sampling event number.
SERF plans to maintain all records indefinitely, but will at minimum comply with the Chapter 62-160
F.A.C. requirement of 3 years.
12-3
-------
Figure 12.1
Final Data Report
Southeast Environmental Research Program
Florida International University OE 148
Miami, Florida 33199
Phone: (305) 348-3095
Section 12
Date: 11/25/98
Page 4 of4
Client Name:_
Site Name:
CompQAP #:_
Project Code:
Sample ID
Field No.
Station
Code
FQC
Code
Sampling
Date
Time
Sampling
Depth (m)
Parameter/
SOP#
Store!
Code
Method
Name
Sample Prep
Date
Time
Sample Analysis
Date
Time
PQL
MDL
Result
Unit
Remark
Other Laboratories providing analytical results:
Lab : CompQAP # :
Analyses:
Lab:
CompQAP #:
Analyses:
Lab:
CompQAP #:
Analyses:
12-4
-------
Section 13
Date: 11/25/98
Page 1 of 3
13.0 Corrective Action
Corrective action is taken whenever the quality assurance objectives have not been met. A
summary of the corrective actions for the laboratory and for the field are included in Tables 13.2
and 13.3, respectively.
The analyst, either the Chief Chemist or the technicians, are responsible for providing a first check
for compliance, and initiating corrective action procedures as described in Table 13.1. The QA
officer is responsible for a second check for compliance, and initiating corrective action as
appropriate. If problems continue, then the analyst and/or QA officer will notify the laboratory
director immediately, who may initiate further steps in solving the problem.
Any corrective action taken will be documented in the instrument log books, sample reanalysis
sheets, and/or sample checklist within the project-specific files.
FDEP recommended corrective action will be initiated as a result of systems or performance audits,
split samples, or data validation review.
13- 1
-------
Section 13
Date: 11/25/98
Page 2 of 3
TABLE 13.1
Corrective Actions for the Laboratory
QC Activity
Acceptance Criteria
Recommended Corrective
Action
Initial Instrument Blank
Instrument response 0.995
Reanalyze standards, if same
response, reoptimize instrument, if
same response, prepare new
standards, notify Dr. Jones and
QA Officer
QC Check
Continuing Calibration Standards
Historical average +/- 3 SD
90-110 % from initial calibration
Reanalyze check standard, if same
response, prepare new check
standard, if same response,
prepare new primary and
calibration standards, notify Dr.
Jones and QA Officer.
Matrix Spikes
Historical average +/- 3 SD
Reanalyze matrix spike, if same
response, prepare and run new
matrix spike, is same response,
notify Dr. Jones and QA Officer.
Replicate Sample
RPD < 20 %
Determine cause: baseline drift,
carryover, etc. Reanalyze all
samples between duplicates,
notify Dr. Jones and QA Officer.
Duplicate Sample
RPD < 20 %
Reanalyze duplicates, reanalyze
all samples between duplicates;
notify Dr. Jones and QA Officer
13-2
-------
TABLE 13.2
Corrective Actions for the Field
Section 13
Date: 11/25/98
Page 3 of 3
QC Activity
Acceptance Criteria
Recommended Corrective
Action
Initial Calibration Standards
Value within +/- 5% of expected
value
Reanalyze standards, if same
response, optimize instrument, if
same response, use new standards;
notify
Dr. Jones and QA Officer.
QC Check Standards
Value within +/- 3 standard
deviations of the historical value
Reanalyze QC check standard, if
same response, prepare new QC
check standard, if same response,
recalibrate; notify
Dr. Jones and QA Officer.
Equipment/Trip Blank
Value
-------
Section 14
Date: 11/25/98
Page 1 of 5
14.0 Performance and System Audits
Dr. Jones supervises all aspects of field and laboratory activities. He requires the laboratory and all
instrumentation to be clean and working at optimum conditions. He is knowledgeable on the inner-
workings of each instrument and checks on their performance as well as on the performance of the
laboratory personnel continually.
14.1 Field Audits
An internal system audit is conducted on an annual basis by the QA officer. During these audits,
the QA officer will review and evaluate the various components of the measurement system to
determine their proper selection and use. Specifically, the auditor will review sampling technique,
field instrument calibration, and field notebook documentation. The checklist included as Figure
14.1 will be used during the audit, and any discrepancies or deviations will be noted in the checklist
and corrected immediately. At the end of the audit, the QA officer will date and sign the checklist
stating that the audit was completed, and a copy of the checklist will be put in the project-specific
files.
14.2 Laboratory Audits
Internal laboratory system audits are conducted on a semiannual basis by the QA officer. This audit
is conducted with the use of the checklist included as Figure 14.2. In addition to these audits,
instrument performance is checked continually by the analyst with analysis of standard curves,
sample replicates, method blanks, and equipment blanks. The QA officer checks the instrument log
books on a monthly basis to check that instruments are running within their appropriate QA
objectives. Many of the analyses are performed and checked within 24 hours to seven days of
sample collection, allowing for any deficiencies to be corrected and samples re-analyzed if needed.
Documentation associated with each audit including the checklist, calculation checks of standard
curves, sample replicates, equipment blanks, spikes, and QA check samples and standards are kept
in the QA officer notebook.
Laboratory performance audits are conducted on a quarterly basis. The performance audit consists
of at least two of the following samples:
• blind samples prepared by the QA Officer
• split samples with another laboratory
• QC samples from an independent certifying source (NIST)
• blind spike samples
Currently, SERF is not involved in a regular external audit program; however, we are available to
receive on-site audits by FDEP at any time.
14- 1
-------
Figure 14.1 Field Audit Checklist
Auditor:
Section 14
Date: 11/25/98
Page 2 of 5
Field Audit Checklist
Date of Audit:
Y
Y
N
N
Sample Collection
* Sampling equipment & bottles rinsed 3 times before
samole collected.
* Samples collected near the bow of the boat away from
the engine.
* Samples collected for dissolved constituents are filtered.
* Filter is sparged with at least 30 ml of air prior to
removal from filter holder.
*Filters are placed in microcentrifuge tube and acetone is
added to the too line of the tube.
* Microcentrifuge tubes are stored in the dark in a cooler
with ice.
* Dissolved nutrient bottles kept in a cooler with ice.
* Total nutrient bottles stored in the dark in a cooler
without ice.
* The appropriate number of QC samples are collected at
the aDDrooriate times.
* Samples are collected at the correct project locations.
Field Notebook
The following are recorded in the field notebook:
* Names of the field crew
*Weather conditions
* Time of sample collection
* Time of QC sample collection
*Temperature, Salinity, D.O.
* Volume of water filtered
*Date
* Station names
Comments
Comments
14-2
-------
Figure 14.1 Field Audit Checklist (Continued)
Auditor:
Field Audit Checklist (cont.)
Date of Audit:
Section 14
Date: 11/25/98
Page 3 of 5
Y
Y
N
N
Field Instruments
* Meter number and probe number recorded on the field
instrument sheet.
* The D.O. meter is turned on at least 50 minutes prior to
first reading.
* Slope of the D.O. meter is checked with the sleave on and
the results are recorded.
* Salinity/Conductivity meter checked against Sal/Cond.
Standard with results recorded.
* Instrument calibration is checked at the beginning of the
dav. 4 hours later, and at the end of the dav.
* Spare instruments are available in the field.
* D.O. meter repair kit is available in the field.
* Temperature checked against NIST thermometer.
Other
* Main office (and NFS Dispatch) is notified before and
after samolins trio bv ohone or radio.
Comments
Comments
14-3
-------
Figure 14.2 Laboratory Audit Checklist
Laboratory Audit Checklist
Auditor: Date of Audit:
Section 14
Date: 11/25/98
Page 4 of 5
Y
Y
Y
N
N
N
Instrument Response
* Instrument notebook is up to date.
* High standard within 10 % of expected value.
* Calibration curve correlation coefficient better than
OQQ5
* Instrument blank is less than MDL.
* QC check standard within control limits.
* Matrix Spike samples within control limits.
* Replicate samples show RPD < 20%
* Duplicate samples show RPD < 20%
* Instrument maintenance up to date.
* Equipment Blank samples less than MDL.
Sample Tracking
* Sample Checklist is filled out correctly.
* Samples are kept in proper storage
* Samples are analyzed within holding times.
* Samples are not discarded until QA checked.
Labware
* Reagents are stored appropriately.
* Waste is disposed properly.
* Glassware and bottles are cleaned appropriately.
* Check the age of sample bottles.
* Standards are properly labeled and stored appropriately.
* Check dates of standards.
Comments
Comments
Comments
14-4
-------
Figure 14.2 Laboratory Audit Checklist (Continued)
Section 14
Date: 11/25/98
Page 5 of 5
Auditor:
Laboratory Audit Checklist (cont.)
Date of Audit:
Y
N
Data Management
* Project Files up to date.
* Data input up to date and correct.
* Calculations performed correctly.
* Output files in correct format.
* Data values within 2 standard deviations of historical
mean.
* Data reports up to date.
Comments
14-5
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Section 15
Date: 11/25/98
Page 1 of 1
15.0 Quality Assurance Reports
SERF will submit quality assurance reports for all Quality Assurance Project Plans at a frequency
according to Table V of Appendix D of the QA Manual. The Quality Assurance Officer is
responsible for the preparation of these reports. In general, if no audits were performed and no
significant QA/QC problems have been identified, then SERF will prepare a brief letter stating
these facts in lieu of a detailed quality assurance report.
A detailed QA report will be prepared when:
1. Activities were conducted in a manner other than those described by the CompQap
or QAPP.
2. Preservation or holding requirements were not met.
3. Quality control checks were unacceptable.
4. Precision, accuracy, or MDL objectives were not met.
5. Corrective action was taken.
6. Internal or external audits were conducted and discrepancies were noted.
According to FDEP guidelines, these QA reports will include the following:
1. Title Page including the time period of the report, the QA Project Plan Title and
Plan number, the laboratory name, address and phone number, and the preparer's
name and signature.
2. Table of contents if the report is over 10 pages long.
3. The results of performance or system audits to include, date of audit, system tested,
name of auditor, parameters analyzed, results of tests, deficiencies or failures, and
an explanation of the problem and the corrective action taken.
4. Significant QA/QC problems.
5. Corrective actions taken.
15- 1
-------
APPENDIX A
validation for Miaraolar Concentration* of Xetel tfitrog«a
in Natural Waters
Limited Us* Method Validation
'Prepared by and for:
Southeast Environmental Raaiearchi Program
Florida International University
OE 14S
University Park
Miami, Florida 331S9
(305) 348-3095
PJUC: (305)348-4096
RSnaM 0, JQIWS,
SERP Director and
Professor
/>"f
Rene* H. Price, P.O.
SBRP Qyality Assurance Officer
FDEP QJi Officer
-------
Appendix &
Revision 0
Date: 04/25/94
Page 2 of 18
1.0 scope and Application
This method covers the determination of total nitrogen in fresh and
saline surface waters. The method ia capable of measuring total
nitrogen at concentrations between 2.1 jjaol/1 (0.03 mg/l» to 2 SO
Mfflol/1 (3,500 jig/1) at an precision of 5% relative standard
deviation (%RDS) or better, and an accuracy between 91 and 1051.
The method is also applicable for analysis o£ dissolved nitrogen of.
filtered water samples.
2.0 Summary of Method
The procedure is a modification of the olaMical Duma* (1831)
method of determining nitrogen by conbuatlon technique with the
addition of cheni luminescence . The method Involves converting all
forms of nitrogen into nitric oxide (HO> upon combustion of a
sanple with oscygen at a temperature in excess of 100O"C. The HO ia
reacted with ozone (O,J to fom a matastmble form of nitrogen
diojelde (NCk"! . A« the mwtaatable form of nitrogen dloauda decays,
a quanta of light is emitted in an amount directly proportional to
the amount of nitrogen in the sample, Thm chemi luminescent
emission is detected by a photonultiplier tuba at a specific
wavelength.
R-H * 0, ~ — '"> Ho *
NO 4> Oy — ' — > MO," «• QS — — >
An WITEK Instruments, Inc. Model 7000M nitrogen toalyzer (Figure
A-l} is used to determine total nitrogen of Sjil of * preserves!
watar sample. The instrument is run according to tfaa Installation/
Operation/ Service Manual provided by AMTEK Insteuments, Inc.r
exctpt that Oseygen gas is used as a carrier gas instead of Argon to
proaota complete recovery of the nitrogen in the water samples,
Total nitrogen is determined on unfiltered samples, while total
dissolved nitrogen is determined on filtered samples. .An
autoaanpler is used to inject the samples into the analyzer.
3.i interferences
There are no known interferences with this procedure as long as all
olassware ia cleaned properly, and deionlxed water (DPI) is used to
naka the standards. The emission wavelength is completely specific
for nitrogen, therefore, there is no interference with other
compounds. In addition, the method is specific for chemically
bound nitrogen and does not detect dinitrogen (H) . Matrix
interferences are eliminated by analyzing only water samples.
Care must be taken not to contaminate samples or laboratory
glassware. Given the small si^e of the autoanalyzer vials,
-------
Appendix A
Revision 0
Data: 04/25/94
3 of 18
cleaning Is not: practical, therefore, autoanalyzar vials are
obtained clean directly from the manufacturer, used once, then
discarded. All laboratory glassware used for standard preparation
are washed with hot tap water and liquinox, rinsed with hot tap
water, rinsed with hydrochloric acid, then triple rinsed vith
analyte-free water. The Inside of all glassware, sample bottles,
autoanalyzer vials or the autoanalyzer injection needle should not
be touched since human contact can contaminate tne samples with
nitrogen.
4.0 safety Precautions
In general, this method is environmentally safe. Strong chemicals
or acids are not used, and no hazardous wastes are produced. The
use of fume hoods or protective clothing Is not required. Care is
advised during handling of the high pressure gases as well as the
pyrotech tube. All gas lines, regulators, gas filters, etc, need
to be specified for high pressure oxygen gas. In addition, the
pyrotech tube operates at combust ion temperatures of over 1000*cr
and care should be taken during maintenance to avoid serious
thermal burns.
5.0 Apparatus JUid Materials
An ANTEK Instruments, Inc. Model 7000M Nitrogen Analyzer equipped
with the following:
Autosampler
Qiemi luminescent nitrogen Detector
Gas/Liquid Inlet System
Pyro Tech, Furnace and accessories
Printer
Oxygen Supply regulated to 20 psig
Standard laboratory glassware is used for preparation of standards.
Glass vials, l.S^j:, with teflon/silicon septa crimp seals are used
for the aiatoanalyier, . ^
ft.fi Reagents
leagents are United to primary standards, secondary standards, and
hydrochloric acid (used as a preservative}. All standards are
prepared with DIW.
6.1 primary standards
Primary standards are made by dissolving 0.3612 g of anhydrous
Potassium nitrate (KNO,) In 100 ml of DIW in a volumetric flask,
This primary standard has a nitrogen concentration of 500 mg/1.
Preserve with 1 ml of chloroform and store at room temperature for
no more than one year.
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Appendix A
Revision 0
Data: 04/25/94
Page 4 Of 18
6.2 Secondary Standards
Using microliter pipeta, add the required volumes of primary
standard Into 100 »1 flasks and dilute to the »arJt with DIW to
produce the following secondary standards:
Volume of Primary Standard
added fco l^Q «1 flask
Concentration of II in
Secondarv Standard
0
100
200
400
1000
0 mg/1
0.5 ng/1
1.0 ng/1
2.0 119/1
9.0 ng/1
CO jCMOl/1)
(3S.7 jiaol/1)
(71.4 JMOl/1)
(1+2.9 Mfflol/1)
(357.1 jiaol/1)
These secondary standards are used to check instrument calibration
on an annual basis or upon replacement of the pyrolysis tub®.
i.3 Working and Continuing Calibration Standard*
A working standard of 2.0 ng/1 (described above) is prepared
identical to samples. Specifically, 1.5 ml of this standard is
placed Into a glass autoanalyrer sample vial and acidified with lo
Ml of 3 H HCl. Duplicate vials of tills standard are run in
triplicate prior to each run, after every 20 samples, and at the
and of the run to check instrument calibration.
6.4 Hydrochloric Acid
ACS reagent grade 3 Iff 1C1 is Bade by adding 125 ml of concentrated
12 If HCl into a 500 ml flask and diluting to the mark with DIW.
7.0 calibration
Low level calibration curves have been performed in triplicate for
both freshwater and soawater and yield the following results;
Low Level Calibration
flX
Cone en tra t ions
0
0.5
1.0
2.0
5.0
Instrument Counts
Freshwater
204, 193, 199
1002, 993, 974
2304, 2403, 2311
4686, 4688, 4803
10101, 10591, 10181
Instrument Counts
Seavetsr
1003, 987, 1003
2113, 1987, 2223
3034, 3081, 3003
5396, 5383, 5203
11201. 11903, 11514
-------
Appendix &
Rev la ion 0
Data: 04/25/94
Page 5 of IS
Low level linear calibration curves determined by plotting
instrument response count against standard concentration are
Illustrated on Figure A-2. Mote that the slopes of the curves for
frisnwater and seawater are similar with correlation coefficients
of greater than 0.99.
Rlgti level calibration curves prepared in triplicate for both
freshwater and seawater yield the following results:
Hiati Level Calibration
|tM
Cone «n t r a t ions
0
25
50
100
125
150
200
Inatrua*nt Count*
Freshwater
794,656,600
45808,48213,48218
99403, §3619,96219
192390, 190000, 187230
239200,248870,233380
287070,297870,291080
389000,315330,382110
Instrument Count*
Seawater
715tS82»701
47541,46822,47849
94880,97103,96847
186458, 188999,
190506
238024, 242743,
241527
293001, 290901,
292006
380841, 387848,
387095
High, level linear calibration carves are illustrated on Figure A-3
and indicate identical elopes (5.17 X IO*) for both. matrices with
correlation coefficients of 0.9999.
Liimarity of instrument response only needs to be checked on an
animal basis or whenever the pyrolysis tube is replaced. Once the
instrument calibration i« determined to be linear (regressioir
coefffficient >0.91Jf then only a one-point instrument calibration is
required on a dally basis. The ABTEK instrument i* programmed such
that m zero nitrogen concentration produces an instrument response
of sera. The one-point calibration curve is obtained with a high
working standard, usually 2.0 mgir/1 (143 jiM M). Prior to each run,
duplicate vials of this standard are run in triplicate. Hie Bean
and standard deviation of the siac results are determined. If the
precision of these results is less than 5 tESO, then a standard
curre is determined by using the mean of the high standard and
forcing the intercept through zero.
-------
Appendix A
Revision 0
Date: 04/25/94
Pago 6 of 18
8.0 Quality control
t.l Calibration Check Standards
Calibration check standards are run at the beginning ami end of
each run, with each run consisting of no more than 20 samples.
Calculate accuracy and determine It to be within 95 to 105%. If
results fall outside thin acceptable range, then all samples within
the run must be analyzed again.
•.2 Duplicate and aaplleata Analyses
Every sample is collected in duplicate and analyzed lit triplicate
to produce six results for each sample. Triplicate analysis is
recommended given the snail injection volume (5 |tl) as veil as the
possibility of injacting an air bubble Into the instrument, A Bean
and standard deviation of the six replicate results Is determined,
and any replicate result determined to be beyond 1 standard
deviation away from the mean Is discarded. A sample precision of
5 tESD Is considered acceptable. Values outside this range
results in a re-analysis of the samples.
9.0 Sample Collection, Preservation, and Eaadliag
Surface water samples are collected directly Into clean, 120 ml
plastic sample containers. Prior to sample collection, sample
containers are triple-rinsed with the sample water. Samples are
stored in the dark: until delivery to the laboratory, within 12
hours of sample collection, 1.5 ml of sample is placed into a glass
autoanalyzer sample vial and acidified with 10 pi of 3 H HC1. the
vial is sealed with a teflon/silicon lined crimp cap and, stored in
a refrigerator at 2*C until analyzed. Mien preserved by this
method, samples have a shelf life of three months without
deterioration; however, sample analysis within 28 days is
recommended.
1§. 0 Sample BJE tract ion/Preparation
Other than th« preservation procedures dmscrJJbad above, there are
no sample extraction or preparation procedures.
11.0 Sample Cleanup and Separation
There are no additional sample cleanup or separation protocol
necessary to separate the nitrogen from the sample matrix.
Combustion of the sample and its reaction with ozone Is completed
by the ANTEK Instruments, Inc. Model 7000M nitrogen Analyzer.
-------
Appendix A
Revision 0
Date: 04/25/94
Page 7 of IS
12.9 Sample Analysis
The JUfTEK Instruments, Inc. Model 7QQQW Nitrogen Analyzer is
generally operated at the following conditions:
Pyralysis Temperature 1100*C
Pyrolysis Oxygen flows 2,0 psig
Oxygen to ozone flow: 2.0 psig
System Pressure: 1.0 psig
Vaeayn: 25 in/Eg,
PUT Voltage: • 800
Gain: X50 HI
Sample volume: 5 jil
Using pipets, 2 al of sample is put into autoanalyzer vials and
capped. The first two vial* consist of the blank wat«r that is
used to rinse the Instrument. The next two vials are high
standards followed by a vial of blank water. Samples are loaded
into the following vials separated by vials containing blanks to
rinse the injection system between samples. The autoanalyzer
collects §j*l from each sample vial and injects it into the
instrument. The instrument is programmed to perform a triplicate
analysis of each sample. A calibration check standard is analyzed
at the end of every run, which does not exceed 20 samples.
13.1 Calculations
Mo special calculations are required. Instrument peak height
values ars converted directly to sample concentrations by
comparison to the standard curve. Method precision, accuracy, and
detiction limit are determined according to the equations presented
in Section 11. An eaeanple of the instrument raw data is attached
along with determination of precision,, accuracy, and method
detection limit for that run.
14 .§ Confirmation
Confirmation of tha presence of nitrogen In each sample can be
confirmed by performing Total Kjeldhal nitrogen method plus nitrate
or toy 0V persulfat* digestion.
15.1 Method Performance
This method measures total nitrogen of fresh and saline water
sanpl«s at concentrations between 2.1 pmol/1 {0.03 ag/1) to 250
pmol/1 (3,300 pg/1) at a precision of 5% relative standard
deviation (%raJJ§) or batter, and an accuracy between 35 and 1051.
There are no interferences with this method. In addition, there is
no required sample extraction procedure and sample preparation is
minimal.
-------
figur* &-1,
Appendix ...
lavision o
Date; 04/15/94
• of is
Flow Diagram Antek Nitrogen System
trogen - Ve"'
lector
Membran
— — — -« Dryer
Reaction
Chamber
Pyrotube
_ Z^T _ _ — J
Flowmeter
-------
Figur* A-a
Calibration Data (High Level)
Freshwater & Seawater
Revision 0
Data; 04/25/94
Pmqm 9 of is
ASeawater:
correlation coefficient:
r=0,9999
slope:
m =5.1787x10-4
y-intercept:
b=3,0418x10-1
•Freshwater:
correlation coefficient:
r=0.9999
slope:
y-intercept:
0 100,000
.. „„ Counts
ii e
INSTRUMENTS
-------
-1
Appendix I
Revision 0
D»t«i 04/25/94
Calibration Data (Low Level)
Freshwater & Seawater
10 of
ASeawater:
correlation coefficient;
r=0,9988
slope:
m= 4,7401
y-intercept:
•Freshwater:
correlation coefficient
r=0.iS80
elope:
m =4.8840 X10'4
y-intercept:
0 1,000 2,000 3,000 4|MO 5,000 i.OOQ 7.0M 8,000 S.OJO 10,00011,000
Counts
-------
I
Appendix A
Revision 0
Date: 04/25/94
Page 11 of 18
Table A-l-
Instrument Raw Data
High Standard
Height
32806S
126476
315434
307124
307802
I Coaf . s
sample
Me.
18
18
18
18
18
18
19
19
If
19
IS
19
20
20
20
20
20
20
21
21
21
21
21
21
22
22
22
22
22
22
Mean
316981
6.31E-06
VMfc
H.ight
68059
73595
76348
72947
53989
S6782
63046
631S1
58140
56652
69S79
101584
88086
93045
S3§43
103294
88642
143391
129645
§7297
146675
143873
124534
143131
126648
129014
124290
122970
117537
fl.D.
S961
Cone.
0.43
0.46
0.48
0,46
0.34
0.36
0.40
0.40
0.37
0-36
0.44
0.64
0.56
0.59
0.59
0.65
0.56
0.90
O.S2
0.55
0.93
0.91
0.79
0.90
0.80
o.ai
0.78
0.78
0.74
M«an
0.46
0.06
0.39
0.03
0.59
0.04
0.80
0.14
0.83
0.05
-------
Appendix &
Revision O
Date: 04/11/94
Page 12 of 18
T»ULm ft-l Continued.
Instrument Raw Data
Sanplc
Mo.
23
23
23
13
23
23
24
24
24
24
24
24
35
25
25
25
25
25
26
26
26
26
26
26
27
17
27
27
2?
27
28
18
28
28
28
28
peak Cone.
Height
113338
97275
109933
114808
85867
109311
10316S
101434
89431
98077
94929
95829
5149S
50899
48765
46430
48899
51564
5189$
54313
50917
56950
53244
S5425
3755?
36379
36302
36827
38671
126059
64364
60120
56844
62889
60725
52691
•9/1
0.72
0.61
0.69
0.72
0.54
0.69
0.65
0.64
0.56
0.62
0.60
0.60
0.32
0.32
0.31
0.29
0.31
0.33
0.33
0.34
0.32
0.36
0.34
0.35
0.24
0.23
0,23
0.23
0.24
0.80
0.41
0.38
0.36
0.40
0.38
0.33
M»mm
s.a.
0.69
0.62
0.31
0,34
0.23
0,07
0.03
0.01
0.01
0.23
0.39
0.03
-------
Appendix &
Revision 0
Data: 04/25/94
Page 13 of IS
Table 1-1 Continuad.
Lastrujient law Data
Samp la
Wo.
29
29
29
29
39
29
30
30
30
30
30
30
31
11
31
31
31
31
32
31
32
32
32
32
33
33
33
33
33
33
34
34
34
34
34
34
Male
B*igbt
97467
95358
9414S
94593
89004
96449
113388
120673
105595
§7972
113795
115067
161965
199033
171121
164179
173619
170957
142926
138120
130054
136164
131559
129145
159314
144694
168716
179937
186718
165233
150115
1599S5
153592
145461
154167
157292
Cone.
»f/l
o.ii
0.60
0.59
0.60
0.56
0.61
0,72
0.76
0.17
0.56
0.72
0.73
1,02
1.26
1.11
1.04
1.10
l.OS
0.90
0.87
0.83
0.86
0.77
0,81
1.01
0.91
1.06
1.14
1.13
1,04
0.95
1.01
0.97
0.92
0,97
0.99
H«an
8.D.
0.60
0.02
0.67
0.07
1.11
0.08
0.86
o.os
1.03
0.09
0.96
0.03
-------
Appendix A
Revision 0
Data: 04/25/94
Page 14 of 18
Tab la A-l Continued.
law Data
Continuing Calibration
Chide Standards
V*aJt Cone.
Height «g/l
130196 2.09
111059 1.96
124867 2,OS
J15S23 1.99
329304 2.08
-------
I
Appendix &
Revision 0
Data: 04/25/94
Page 15 of 18
Tibia A~2.
tuple and QC caloulationa
High atandmrd
Peak
bight
328068
326476
315434
307124
307802
Corf * of
Sample
NO.
18
18
18
18
18
18
19
19
19
19
19
19
20
20
20
20
20
20
21
21
21
21
21
21
Mean
316981
6.31E-06
P«aJc
Height
68059
73i§5
76348
72947
63046
63181
58140
56652
88086
9304S
93943
88642
143391
12964S
146675
143873
fl.D.
9961
Cone.
•g/1
0.43
0.46
0.48
0.46
0,40
0.40
0.37
0.36
0.16
0.59
0.59
0.56
0.90
0.82
0.93
0.91
Continuing Calibration
ChacJc standards
Pea*
Height
330896
311059
324867
315522
329304
Cone.
•9/1
2.09
1.96
2.05
1.99
2.08
Accuracy
104
98
102
100
104
Mean
8.D. Precision
0.46
0.02
0.39
0.02
0.58
0.02
0.88
0.05
-------
Appendix A
Revision 0
Date: 04/25/94
Page 16 of 18
TiM* A-2.
Sanpl* and QC Calculations
sample
Ho.
22
22
22
22
22
22
23
23
23
23
23
23
24
24
24
24
24
24
25
25
25
25
25
25
26
26
26
26
26
26
27
27
27
27
27
27
Peak
Haight
126648
129014
124290
122970
117537
113338
109933
114808
109311
103 168
101434
91077
94929
95829
51495
50899
48765
46430
48899
51564
51896
54313
50917
56950
53244
55425
37557
36379
36302
36827
38611
Cone.
•g/1
0.80
0*81
0.7S
0.7§
0.74
0.72
0.69
0.72
0.69
0.65
0.64
O.S2
0,60
0.60
0.32
0.32
0.31
0.29
0.31
0.33
6.33
0.34
0*32
0.36
0.34
0.35
0.24
0,23
0.23
0.23
0.34
Jtoaa
3.D. Pracision
0.80
0.03
0.71
0.02
0.64
0.02
0.31
0.01
0.34
0.01
0.23
0.01
-------
I
Appendix &
Revision 0
Data: 04/25/94
Page 17 of IS
aupl* and QC Calculations
sup 1*
No.
28
28
28
28
28
28
29
29
29
29
29
29
30
30
30
30
30
30
31
31
31
31
31
31
32
32
32
32
32
32
33
33
33
33
33
33
!•«* Cone*
Height mg/1
64364
60120
56B44
62889
60725
97467
953SS
9414S
94593
89004
96449
113388
120673
105595
113795
115067
161965
175726
164179
173689
170957
142926
138120
130854
136164
129145
159314
168716
165232
0.41
0.38
0.36
0.40
0.38
0.61
0.60
0.59
O.iO
0.56
0.61
0.72
0.76
0.67
0.72
0,73
1.02
1.11
1,04
1.10
1.08
0.90
0.87
0.83
0,86
0.81
1.01
1.06
1.04
Mean
B.D. Precision
0.39
0.60
0.71
1.06
0.86
1.03
0.02
0.02
0.03
0,04
0.04
0.03
-------
.
m
Appendix A,
Revision 0
Date; 04/25/94
Page IS of IS
Iftbla A-I.
Suple and QC calculations
Bajnpl« l**k Cone,
Me. Might •g/l M«u i.D. lr«ei«ie»
34 150819 i.SS
34 159985 1.01
34 153592 0.97
34 145461 0.92
34 154 1S7 Q.§7
34 157292 0,99 0,§6 0.03 3
P«t«atiott bimit for th« rm «*tttBia^ w tto «npl« with
lowest concentration.
FeaJt Come*
Might ag/1 lto«m ••»• «» (1*«.D.)
27 37S57 0.24
27 3«379 0-23
27 3«302 o.aa
27 36827 0,23
27 3§i7l 0.24
27 0.23 0.01 0.03
-------
Section 15
Date: 11/25/98
Page 1 of 1
15.0 Quality Assurance Reports
SERF rail submit quality assurance reports for all Quality Assurance Project Plans at a frequency
according to Table V of Appendix D of the QA Manual. The Quality Assurance Officer is responsible
for the preparation of these reports. In general, if no audits were performed and no significant QA/QC
problems have been identified, then SERF will prepare a brief letter stating these facts in lieu of a
details! quality assurance report,
A detailed QA report will be prepared when:
1. Activities were conducted in a manner other than those described by the CompQap or
QAPP
2, Preservation or holding requirements were not met.
3. Quality control checks were unacceptable,
4. Precision, accuracy., or MDL objectives were not met.
5. Corrective action was taken.
6, Internal or external audits were conducted and discrepancies were noted.
According to FDEP guidelines, these QA .reports will include the following:
1. Title Page including the time period of the report., the QA Project Plan Title and Plan
number, the laboratory name, address and phone number, and the prepared name and
signature,
2. Table of contents if the report is over 10 pages long.
3. The results of performance or system audits to include, date of audit, system tested,
name of auditor, parameters analyzed, results of tests, deficiencies or failures, and an
explanation of the problem and the corrective action taken.
4. Sigpifieant QA/QC problems,
5, Corrective actions taken.
15- I
-------
APPENDIX B
Results off QC Check Samples for
Total Phosphorus IB ffoil/Tisaua
Bol6rzano L. and J.H. Sharp. 1980. Datermination of Total
Phoaphonia and Particulata Phosphorus IB Natural
Waters. 25(4). pp. 754-758.
-------
Attached are the results of SERF'a analysis of HIST standard
r«£«rence 'Haterial 1572 (citrus leaves 1 and sawgrass leaves for
total phosphorus. Each of the sample* were prepared according to
tint preparation procedure* described in Section i and developed by
Solonano and Sharp (1980? see attached). Following the sample
prtparation, total phosphorus concentrations were determined
according to 'the OTA Method 365,1.
Eight HIST standards (CL1 - CM) wer« prepared each day and
unilyzed in replicate, while three samples of the sawgrass leaves
(Ll - L3) wera prepared each day and analysed .in replicate. The
mean values of each data set are summarized below along with the
resulting accuracy and precision estimates.
Sample Mean
Citrus Leaves
1378
139S
13S4
1381
13 63
X-138L
Sawgrass
Leaves
178O
1747
1748
17S1
1727
X-1750
Standard
Deviation
46
31
20
18
20
S.D-* 13
18
IB
37
20
10
S.D.- 19
Accuracy %R
99.7
101
100
100
99.0
98.3
99. a
99.9
100
98.7
Precision
%RSD
3
2
1
1
1
%RSD-1
1
1
2
I
1
lRSD-1
The HIST sample is certified to 1300 pf/g» t 20O pg/g»
enclosed certificate of analysis) for an accuracy range of 85% to
115% recovery. SERF'S accuracy for the HIST standard ranged from
99 to 101% recovery, is well within the HIST limits. For the
sawgra»« leaves, SERF'* accuracy ranged from 98 to 100% recovery.
Precision for both the HIST standard and the sawgrass leaves varied
between 1 and 3% RSD.
-------
Total rtiospnonts SMliMMtS RFA
Citrus Umm
Ottei Niy 22, 1999
iiwie
Sill
QJ
CL2
QJ
QL4
15
Ha
OJ
ota
u
L2
U
M§i«tk «
lOQufl ST»-30f7^l
Bed i sent Bin
Bry Ml. (FIT
0,0094 0
0.0098 0
0.0111 0
0,0913 0
d,ww o
0.0105 a
0,0100 0
0.0093 *
0.0099 0
0.0109 0
0.0109 0
4
44,11
m
wr
27.00
27, »
2?.50
29.50
U.uO
13.00
26.25
2A.Z5
.27.00
25.75
29.75
29.50
a. 75
29.00
27.75
27,73
31.30
36.50
41,75
40.25
40.75
W.7|
Baseline
STI Mfl
Cor
ftvf
27. 00
29.50
33.00
26*3
2A.3B
29.i>3
28. SB
27,73
36.^)
41.00
40.73
offset 3 0
It * M,f
P04 Cone.
(ug F/pi
1371
1437
1419
1347
1235
1373
1371
1314
_— .
1710
1711
1785
-------
Total Ptwspherus Sediaevts RFfl
Citrus Uuvn - I
Dlttl Ity 22, 19M
SdMlt
Silt
HI
CL2
QJ
QU
CL5
(LA
OL7
OJ
LI
LZ
U
» Blank :
lOOyHSW
Sequent
Dry HI.
O.(30?4
0.01 IV
0.1)100
0,0106
0.0122
0.01 10
0.3100
0,0105
0.0120
0.iX)98
«.00%
•
law
DFIT
0
0
0
0
0
0
9
0
0
0
0
0
•i 64.ee
m
mi
2B.3
29,9
B.2S
32,3
29.25
29.00
29.75
30.00
41.00
a. 75
31.J5
3?. 00
30,3
J3.ZS
11.00
31.3
45.25
43.50
3i.OO
33.73
34,73
34, 73
Bawlim
STB het^
Ccr
A*f
21,31
32.25
29.13
B.as
3B.3
31.83
30.3
31,13
M^a
**fQ
15.88
14,75
I crflsct * 0
^it » M.i
rat Gone.
(119 P/pl
1411
14w
13M
1S45
ISii—
13K
1444
1413
—
17oS
1741
1721
-------
Foul PhMMonis Smimmtn fif A
Citrus LMvtt - I
W U«fc * 0 Butlim offnt
ICftJ* STIKQffiig/l 45.00 SID (Might *
5j«>le
Sin
ai
CL2
QJ
0.4
as
cu
CLI
OJ
ii
L2
a
Seoioent
Dry lit.
O..J105
O.U096
0.00f4
'J.^101
O.OOT4
0.0914
O.MM
O.OW3
O.J119
0.0109
O.OU3
lasi
OFST
a
a
0
0
0
0
a
0
0
0
0
PK
HOT
31. M
11.00
27.29
27,50
27.79
27,73
2B.75
28.75
27.3
28.00
27.3
27.»
29.90
3§. 30
27.00
27.09
M.S0
44, 90
3I.7S
40.9)
+0.50
40, 3fc
Cdr
*fl
J:. L>O
27.38
Z7.75
2B.79
3.43
17.3
30.00
27,00
44,50
40.13
40.50
we
(U9P
1407
1399
t«7
1SI
14W
I3fl8
IS74
1313
ITS!
1794
1706
-------
iivk
Silt
0,1
DL2
03
0.4
OS
CL6
CL7
QJ
LI
11
y
fol*l rtiospfiorvts
Citrus Leaves
tata
W ilwk *
IWuH Slh2W7u5/;
• Sediment BAM
Dry it. VST
'UU
-------
; i
Total PhQfpMftH Stdiwits RFA
Citrus Leavn
OaliE Illy 23, 19B9
W Blank a
Bast
Site Dry Hfc. QF5T
HI 0.0095 0
O2 O.OW7 0
QJ 0,0©f4 0
0.4 0.0104 0
OS
a*
0.7
OJ
u
L2
L3
0.0112
O.W3
O.OM
0,0114
0.09W
0.0111
0
0
0
0
0
0
0 teiirw offset
STD htight »
BC
WT
Cor
27.25
me® ».o i34i
moo
29,«) 2?-00 1336
ZF.23
27.23 27.3 13*4
30.73
30,73 30.73 1371
21.00
28.00 28.00 1352
33.30
33.50 33.50 13B7
27.50
^.73 27.43 1377
ZB.25
2B.23 29.25 1336
42.90
42.73 42,43 1733
36. t3 1715
41.53
4i.9b 41.9ft 1733
tA»m
-------
u£
Ccriiftorft of
Standard Reference Material 15 72
Citrus Leaves
Hit Standard leferenee Material (S1MJ « intended primarily fo» use in calibrating; io«nuantutien and
the reliaMliiy of analytical method* for the determination of iMior, minor. and t«ee dcaeau in imankaJ
•Iflculiaral food product*, and similar matrices,
Ccnifieil V»lma of Ccnrtlumi Bemeat« The eerti&d v.Ju« for the co^utuent ckacnd are 5ho*n in TiMe I T>
•re burnt on raulu obtaiarf «th«- by ddiniiiw methods of known accuracy or by two ^ more imfepntfeat
rls. Non-c«iir«d valim, which ate given for in/ormafion aofy. appear in Ttfcte Z
and
then, purchaiers will be notified by NBS.
The material shoaW bt kepi
; This ««ificwion is m*m&4 5 yean tlier th* sUpeiiii date. Should il be invUwJaietl
bo«t(e and stored M tempcracurw bctw^n I&-30 *C It should no, i
«pese«l to .mcnsc SOurca of nduuion. IdetJJy, the botttc jhould be kepi tithtiy dosed in t desiccator in tHe dart al y
temperature indicated.
*«>"^ should l» sh«ken weJl before each UM. A tmrumum jampJc of 500 BI of ite dried tntteml im Itmnu
uoni for Oryini» ihoiiJd be used for any analytical dctcrminai.on to be rcUced in th* ctnifled vmiiM of this ccnificai i
Siaiaiieai contultaiioR was provided by IL Kafadar of the StamucaJ EnKinefring Ditmon.
The overill direoioa and ceerdwaiioa of the analyses leadini to tins cmificai.on were performed under tie ehairrau
thipof EL, Caraer, CbM of the J nor game Analytical Research Oivuion.
The tcchaical »nd support aipeai involved in the prepmrmion, cevtiJIenioii. and issuance of tttit Siaiidmrd Rcfcnne
Mattriai were coord maied through the Office of Standard Reftraiee Maieruh by IL
Washmp.on, D.C 20234
December 20, 1912
(Revision of Certificate
daied 2-22-821
George A, Unano, Chief
OfHa of Standard Reference Material
-------
I
Table 1. Cerrified Valuesof Comtituem Elements
Major mil Minor Conamucnti
CkHjtm,1
(Wt. Percent)
us ±ai§
Mipwritta
Phwphonji ai3 ±0.02
Pwtwwin* !.« ±0.06
iSulfur
Trace Coimnuenti
Element ___ Can tent. >tg/g Bcmcnt . Conient,1
AJurainum 92 ± 15 ^ MM^HMWI ' 23 i 2
Araena: II ± OU ^ Mucaff O.M ± 0.02
Barium 21 ±3 MoiyMeniiai • 0.17 ± 0.09
Ca4nnuin 0.03 ± QMl Nicfed 0,6 ± §J
Ourommm ttJ ± §J _ RuMdiuB* 4.84 ±
Copper l&J ± IJ Sodium 110 ±20
lodte 1.84 ± 0.03 Suwriufli* • tOO ± 2
Iron 90 ±10 OB 2f ± 2
Lead* 13.3 ± 2,4
Mtlnow Muciuli hi
-------
. j.._ Noiir-cmilled. Values far , Coa«Ftuenl EteBMtti
NOTE: The following values *re «« certified because they are not basedon iheraulu ofathcr » definmve metho.
known accuracy or two or more independent methods. These values are iododed for information only.
Major Constituent
OjBlCOC,
(Wt Percent)
Element
Ejement_ Content,' «t/n;_
Antimony { 0.04 ) Samanun
Bromine ( 8L2 > Scandium
Cerium ( 0.28 ) Selenium
Cesium ( 0.098) • TeJlurium'
Chlorine (414 > Thallium
Cobalt . ( a02 } Tia
Europium (* 0.01 ) Uranium
Lanthanum ( flLlff )
'An»iyiu:al »iuci tn bucd o* ibt ~», under ihe direetniB of A. Brynjotfuon.
-------
I
Analytical Methods Used and Afttiytat
Analytical Methods:
A. Atomic absorption spcciromeiry
i. Atomic emission specfrometry, flame
C. Atonic emission spcciromctry, inductiveiy coup Jed plaitaa
0 Ion chramatography
E Isotope dilution thermal source amm spectra ntetrjr
F, Iioiope dilution spark source mass ipectromctry
G. Xjeldahl meihod for nitrogen
H. Neutron activation
1. Photon activation
J Potarogriphy
K. Specirophoiotnetry
Analysts,
inorfaflic Analytical Research Division, National Bureau of Standards
I, I.L Barnes 14. R.M. Ltndstrom
2. tS, S»ry '3. GJ. Lutt
'J. lt,A. Irteic IB. LA. MieWm
C T.A. Suiter IT. EJ. Mauailul
1 I.R. Daurdorff II. J.R. Moody
'&, J.W. Grminlkh 1». TJ. Murphy
?. R.R. Cncnberi 20L PJ. PmKlMHi
S. 5. Hanamura 11. LJ. PoweU
». 6.F, HeaM 21 T.C RUM
JO. W.R. iCeUy 23. T.A. Ruih
IL H.M, Hiiiploii 24 P.A. Stalk
12. W.F. Koeb 25. R.L. Wawers, Jr.
U, G.M- Lamben 26. H. Zeisler
Cooperating AnaJvsts:
i. M Ihnat. Chemiitry and Biology Research Insiitute, AgncuJiure Canada. Ottawa, Canada,
1 U- Gilionnt, E. Orviru, and M. DiCawu Consigho Hazionak dclle Pacerche, Ccntroda Radioclnmtcac Analisj p(
Attivwionc prrsso I'lnitituto di Chimica GcneraJe dell* Univcrsita, Pmvia, Italy,
J. L Ko«a. A, R. Byrne, and A. f*ros*ne, lnst«in« -Josef Sidkii,** yuW^n". Yupwlavim.
4 J B. Jones, Jr., Depwimeni of Horticulture, University of Gtorpa, Albcm, Ceorjia..
1 L M, CuwyiLK Department of Sidopcai ScMri«a» Uinweraky of Piiisbu^* Pirabuf|h, Pennsylvania.
-------
nc acid to Kycirol>rie poly-
phoiphatei and th* arthophosphate ii
mnuufwd by th« motjrbdat* method. The
method gin* 100* racowny wtth refectory
phosphorus compound*, ii tuabJn on untiirut-
ad sitnpJej with up
-------
Notes
755
used potassium persulfate as the axidant
of organic phosphorus. Oxidation to or-
thophosphate is also die mechanism in
Cbtt ultraviolet irradiation method (Arm-
strong et d. 1966). All these methods.
measuring total phosphorus, also detect
initially nonreactive phasphortii com-
pounds that are not necessarily organic.
The last two methods arc used at present
in seawater analysis. We have found in-
complete yield with the UV method
when adenosine-5*-trfphosphate (ATP)
was used as m test compound and poor
precision with the persulfate method.
The UV method requires high intensity
ultraviolet lamps and heat for efficient
yield of phosphate from ATP (Armstrong
and Tibbitts 1968; Goonen and Hoos-
lerboer 1978|.
We have developed procedures suit-
able for both total dissolved phosphorus
and total particulate phosphorus. Our
separation between particulate and dis-
seised is arbitrary (set Soloraano and
Sharp 1980), The method is essentially a
hi«h temperature combustion of dried
samples (Assoc. Official Agric. Chem,
1936) that has been used for particulate
matter from freshwater (Stockner and
Armstrong 1871). The procedure for par-
ticulate phosphorus is mud i Red from that
of Stockner and Armstrong because we
foynd poor recovery of orthophosphate
without die siddition of magnesium sul-
fate. The procedure for total dissolved
phosphorus was developed from the par-
ticulate one. A somewhat similar method,
without MgSO«» was used by Levine et
a!. (1955K Since the forms of the samples
are different and different concentrations
of reagents are required, the dissolved
and particulate methods are described
separately. In both eases, reagent grade
chemicals and high quality distilled
water must be used {we used reverse os-
rno:,is/deionized water from a Mfllipore-
Mllli-RO/Mflli-Q system).
This work and that on dissolved organ-
ic nitrogen (Solorzano and Sharp 1980)
are offered us simple, accurate, and pre-
cise methods for routine use on samples
from fresh, estuarine, or oceanic waters.
The difficulties with the UV method and
the special equipment it requires justify
the method presented here.
Total tti$iolvett phosphorus
Magnesium ml/at*. 9.17 ,V — dUsidve 10 g of
MKSO« (or 21 g of MgSO, -7H.O) In 900 ml of di*.
tilled watte and add I ml at coned tftSQ*. Thii so-
lution can he slewed for months in * glass bottle.
Hydrochloric aad. 0.75 M—diluJ* 68 ml of coned
HCI to 1 liter with distilled wmtur. Tliii solution can
be stored (or moothi in a ijlass bottle.
Mixed jY«*mfr- 4hii i» th« miied twsflemi from
ihc itanrfard method (or soluble neaciiv* phoi-
pAonu (Murphy and fUley 1962) a MMJlntd by
Strickland und Pandas (1972). Am specified by
Strjcfcbnd and RUMMI. it should be w»de imme-
duleiy betoFf use and not stored lor more than
about § h.
Th« proe«du» gfrwn it far »a*J dtaiolved pkm-
phorui on lampJo with > 15*. ulinMy: for sampl«
of lower Mdifnlty, the variation JTJVCO below should
be used. Oiuoivcd urjpunc pinnphonjf ti deter*
mined 'by lubtracttn* th« amhtr at sotuble reoctiv*
phosphonu rancentratioM bom the measured total.
The simple should tw filtered to remove panic
uJate matter. W* IIM puctmtKJ CF/C Hllen («r
Wow). Moisure 10 ml of sample iolo * small Pyw*
container jmd add Oi «l trf a 17 M MgSO, Tl.e
ideal container {• • 4O* « SO-mm weigh in« bMtle
«ridi cwtside pWHrtd gl«* covw. Evaporate ih*
MHipJ* to ilrynesi in a clean oven at 95*C, this step
talees about 2-5 K. Transfer the wciehinK bottle to
m muffle fiunwc» aad W» irt. 43T-5WPC ftw t h.
After codinK. add 3 ml of 0.73 M HO and heal the
ujnpte in tun ov«i at 8ETC fcr SJ miw. Tl»e» «H t
ml of distilled wBtnr and continue hoiinp; for an
additional 10 min. The (ivapornrtoo step »ho«ld b«
don* without (he covers, the baking Ttep should be
don* with loose coven, and hydrolysis must lw
don* with covers on tightly. After Kydjolv-sis. cool
and transfer the sample to • tw t tube, add I ml of
the mixed rcntfent and aAer 10 mm read the jbsix-
tunce nt 885 nm in a I- or 10-cm cuvette.
For samples with salinity < IWU a modiflmtiofi
must b* wsrf to emur* cseiplete recovery of pho»-
ptae. AAer addlnf the 3 ml of acid, bv*t the s*m
pies without coven in a WC water bath for 10 .mo.
Then add 7 ml of distilled water and heat the IIUB-
pJei without coweo Car am additional 19 min. After
cooling ttamfer ixinples to a graduated cylinder
and Itrtnii the voliww to 10 ml. Thereafter, treat the
sample of above.
Paniculate
Sodium tmtfate, O.It M— «Uisol« 11 g »f *"»hv-
drous N%S0., in SOO ml of distlltwi water, Tlito so-
Uition can be stored fw month j 1* a «b« bottle.
, in I liter of distilled VW»*K. This solution
CBB he atond for mondui in * «!"» hottle.
Htfdrof Marie ticid, 0,3 .M— dilute 18 ml of voiwd
HCI ta I, li*tr with distilled water. Thii JoJution tan
be stored for months in a i^asJ battle.
-------
756
Nott*
Tahfe I. yield of phosphate from organic and
inornaoic ulti with (MfSOj ind without (no
MlSOJ iidditlon of iruj?i>esium mJfate and with
fhydml) and widiovt (no hydrol) finaj jcidic hy-
draf yiii ittp. All yields ai pttcenteite oTthcorctlcaJ
100 indicate* theoretical yield! (9S-LOS%>,
NB
HyrfJ
Sodium
miMKiliiuM:
Ki>n>H.ivm ph
Phaspliwyl cfdonde
ATP
DfeoclNiin pJicnylphniphate
IS
29
53
10
12
16
90
Si
66
90
too
40
SI
loo
loo
100
100
100
100
100
too
Collet* ill* (urtkiildl* nutter on a, pnttnotmd
Jiiifiii method, the evaporation itep \houJd lie
d«w wuh fiotdcs unseilad and the Iwdting mnd liy-
dntlvti* » ,>t MS nm
in a i- or Id-cm cuiwlt*,
Solutions of varying concentrations „.„ ^m. ^ ^^ mva UMm K ^ ,„„ ,es
of guanosine-5 -monophosphate, gun- from a redreulahnff swiwmter system (sa-
nosme-5 ~diphi,spho^ucmet adenosine- Unity ca, 30*^ with phosphate concen-
5 -trtphosphttte (ATP)f deoxynboniicleic traMons ranging from 0.30 to 3,70 aM and
uc-id, riboflavin phosphate, potassium dissolved organic phasphorxij eoTcenta-
glycerophosphttte, sodium glycerophos- rJons ranging from Q,0§ to OJS M
phute. glucoauunine-S-phoiphitte. phos- Because the particu/ate phoaphoros
p uienul pynivate, dbpdium phenyiphos- determintrion fdlowi iw same steps ai
phate, trjs-p.nitrophenyl phosphate, that for dissolved organic phosphoms it
detunieraitone phosphate phosphoryl Is also considered to be accurate. The
chliiridc, po(a»ium orthophosphate thoroughness aad precision of this rneth-
(immobiuicK iincl sodium orthophosphnte od have been checked by analysis of fil-
(Eti>th inonolMuicr and dibasic salts) huve ten on which varying voJuinei were col-
hi-rii ointt^ed by the dissolved urnanic lected of cultures of the marine diatoms
method at concentrations Skefetan^ms cmtatum md
The linearity (r*
of phosphate from these IS compounds
were 95-103%; this indicates that the
method is accurate. Five replicates of 6
/iM ATP were ran which gave a relative
standard error of the mean (1 SO) of 1%.
- When magnesium sulrate was omitted
from distilled water samples of phos-
phorus compounds, recovery was vari-
able. Table I shows yields of a series of
standards with and without the .vigSO,
addition .and with and without the final
hydrolysis. The MgSO« is used as an
acidic solution (after addibon to the sea-
water sample, die pff was about 3) to
minimize silicate leaching from the glass-
ware during evaporation. The acid and
hemrJng ins necessary to faydrafyze any
condensed phosphates in the final mix-
ture. The modification for freshwater and
low salinity samples is needed because
without it the acidity of the sample can
retard color development of the phos-
phomolybdale complex. We found this
problem some what evasive at first be-
cause of the variability in strength of
coned HC1 in older botries of the acid,
Seawater sails apparently butter the re-
hydrated sample sufficiently, and the par-
tial evaporation IQ the modification also
places the pH In the correct range f >0.7)
tor optimal color development
We haiw used the procedure for dis-
solved phosphorus on estuarine to ocean-
ic samples (salinity 0-36%) with ambient
phosphate concentrations ranging front
<0,OS to 3,0 jtM» and dissolved organic
phosphorus concentrations from <0.05 to
0.8 juM. We have also used it on samples
\
fntm 0.12 to 18.0 jiM phosphorus. Yields
-------
No tea
757
was similar to that found with varying
concentrations of ATP. Absorbance from
a reagent blank and from a filter blank
were 0,015 and 0.020 in 10-em path-
length cells,
Far work at sea, we have found it con-
venient to use liquid scintillation vials
for both dissolved and participate phos-
phorus samples, processing the samples
through the drying step and then storing
them capped at room temperature far lat-
er analysts on land,
As with all organic analyses, special
care including prior acid-washing is re-
quired with the glassware. The glassware
should be used only for the organic phos-
phorus determinations. The weighing
bottles should be used only for the evap-
oration. baking, and hydrolysis step! with
transfer before the mixed reagent is
added. Disposable scintillation vials can
be used throughout the procedure
(capped with foil for the baking step).
We 'thank A. C. Frake and C. B Hillier
for experimenting with the methods and
A. C. Frake, L. EL Fox, and P. A. Under-
bill for comments on the manuscript. Re-
search on the part icu late phosphorus
method was begun by L. S. at the Oun-
staJFnane Marine Laboratory (Scotland)
and was supported there by the National
Research Council of the United King-
dom.
Lucia Solorzana1
Jonathan H. Sharp*
College of Marine Studies
University of Delaware
Lewes 19958
AnMsrrwjNC, F. A.. ANO 5. TMMTTS. 196ft. Photo-
. cttemkfiJ comlniiMon of organic mutter in s*m»
water, lor nilrojten, pituiphorus ami carbon de-
terminations. J. Mar, Blot. Aiioc. U.K. 4*i M3-
152-
— • — .. P. M. WILLIAMS. AND J. D. STRICKLAND.
1966, Phtiln-uilichtfMl 285-295.
CORRCUL, O. U 1965. Pelagic phosphorm roetah-
dim in Antarctic watm. UmnoL OceaMgr.
lOi J64-J70.
J, T., AMI |, C. Kucsatm
Oetenni nation of phosphate* in natural
wane waMti after photochemical
Mm and add bydrolysi* sf organic phatphwui
compound*. Anal. Cbem. SOi TOT-TIL
A. L, AND R. J, ROBWSCW. 1953. The
determination of organic pfwphamf in iea-
water with perch toric odd oitdalion f, Mir.
Acs, 12; 31-42.
HAHVEY. W. H. 1948. The «ttnuthm of pboiphate
and of total photphoruj In smwatar. |, Mar.
Biol. Asaoc. U.K. 27, 337^159.
— . 1953, Note on the abawrption of organic
phmphorut eomp«Minds by iWtueM* etati*r>-
mm in the dark. J. Mar Biol, AJMJC, U.K. 31:
473-476,
HOUM-KAMSEH, O.. f. D. STRICILAND. AND P. M.
WiuuAtm. 1966. A deMlcdl andyiii of fiiolo^-
ically important ^ubitancei in a profile off
southern California. Limnol. OceafMfir. tli
S48MMIL
B. H., N. CoRvnn, AND D. J. KEEN.
1955. The lignlficBitce, of organic pho^phorui
detemuoatioos in ocean waters, Deep-Sea Res.
Xi 172-Lfil.
H,, J, f. Bovm, AND F. s. GMMAUH,
Molybdenum bin* reaction and deter-
mination of phiMphoru* in wotctv ctmtaioinK
ilKcon, ind BBrmanjum. AnaL diem.
McGiLL, D. A^ N. Oonwm, AI«> B, H.
1964. Otapnic pbospJioru* in th« d**p water of
the weshrm North Atlantic. Umnaj.
MENZEL, O, W.. AM» N, COR WIN. 1965. The
Mcemeni of total phcupborus in .tnwater hai«l
on the liberatkm of onjaniqajly bound fractioni
by penul£ite oxidation. LimnoJ. OceiUKKp. 10i
280-282.
^ AKD f, P. RIUEY, 1962, A nuxiifint
•untie sdutton method for ihe dotcnninatlwi of
in natural water*. AnaL Oiem. Acta
1 Present .iddrejw: liutltuta tl* Inveitdtucinnv*
yuunit'iis, Univenldad tie Cnay. A. C. H. P. SMITH, AND 8. H. Kcr>
onni. 1137, The cycle of organic phosphorus
in the Gulf of Mate*. Bid. Bull 73. 121-443
SOLdRZAJMO. L. AND J. H, SHAlV. 1980. Deler-
minnlion of total Ui»uived rMtrogen in aiitunJ
wateu. Umnol. Ocewiotpr. 2S: 751-754.
Srocxxnt. J. C.. AND F, A. AKMSTWOWC. 1971,
Prnphvton nf the EipefimentaJ Likn Airi.
northwestern Ontario. J, Fish, flci Sd. dn.
28: 21S-2S9.
STMCKLA.ND. |. O., ANO K. H, AUSTIN. I960. Q«
the iortnv Iwlancv and cycle of phunphomi irfi-
-------
TSS
served In *. ooutaJ Mid mule w»tan of tfi« M4T4 fa H. BMW fedL Smn»
" '' to* M Ci*' lf *
.
— . AMD T, R. PAHSOIW, 1§72. A practical hand- WATT, W. O,, AWO F. R ,H*f» MSI. T»«r mtdhr
took of MMtr nulyUi. ftri •d. enil. Pith, «f ft, ph^Jjonw ^|. ta m M^T. Uwillilj.
««. BdL Ciin. 181. Owtwpi Si «i-SW. «
, AND L SQUJHIAMO. 106& D»twmlMtfoil -, , .„ , „_ _ , .^^ * f
of moi»«si»ffai* kydrafynbb ^mpJiatr «id Sulwiilfai' 27 Dtcemlmr I §73 , \
jctivny m icaxtrmter, p. Accepted: 29 February 193O |
-------
APPENDIX C
An EqnivftlaBoy ftudy on tha Vmarvatien
of Nutrient Samples by Praeiing or R«frig«ration
ClMMBtioa, L.&. «u« •.•• W»yt«. lit 2. »* Bff»ct of Fro««i
•tormga of op«n-Qe»«a fl«aimt«r S*api«» om t'M» eoBeaBfer«tioa of
Phosphate and Nitrate. Water Resources Research.
26(9). pp. L171*117f.
-------
Appendix C
Revision 0
Date: 11/16/95
Page 2 of S
MTIODOCTIOH
on January 5, 1995, Florida Department of Environmental Protection
aoorowd SEKP's Comprehensive Quality Assurance Fro jeet Plan
fCo»QM»l The approval did not include the freealng of samples
forTwwnimi analysis. PDEF recommends storage of ammonium samples
at ?C in response to their comment, SHIP has completed an
emiivalancy study demonstrating no significant difference in the
ralta of ammonium following storage by freezing or refrigeration.
The results of this study are presented herein.
KETEODB
on 2 larch 1995 , two 2 -liter bottles of surface water were
r«ni isetiad from Florida Bay station 16 (Murray ley* . The bottles
Seamed according to the protocol, de^ribed in SEEP*. CompQAP.
SDeJif ieally, the bottles were rinsed three times with .ample water
p?lS to being filled. The bottles were then stored in a dark
cooler with ice and transported to SERF'S laboratory on the same
day o£ sample collection.
m the laboratory each bottle was vacuum-filtered through a Whatman
GF/F gl*« fibi filter. Prom each filtered sample, 10 €0-ml
«mile bottles were filled, for a total of 20 nilMUplM ( ( W
"billed as F for frozen, and 10 labelled a* R for refrigerated >.
Each of the sample bottles were rinsed three times with the sample
prior to Tilling. THe 10 F samples were stored in »"••*•* Jf*
thi 10 R sample* were stored in a refrigerator at 4*C until
analyzed.
Sample analysis was per formed according to EPA method ;"0.l*«
described in SffiP's CompQAF. Frozen samples were allowed to thaw
sl^lv to roo« temperature and shaken thoroughly prior to analysis,
SoS * f ro«n and Refrigerated sample were analysed over the course
of 35 days from sample collection.
RESULTS
A»oniu« concentrations varied from l.iS to 3.19 uM <****• C-l).
n^ired t-test was used to test the null hypo thesis that there is
no difference between the ammonium concentrations of th*. froaen and
d samples (that they are from th« same «««J
^results of tto paired t-test conf irmed the null
at the 0.05 probability level (t— 0.09r P-0-").
nq no difference between the amaonium concentrations of the
row and refrigerated samples. In addition, ttere was no
aimificant difference between the concentrations of the frozen md
refriaerated samples for nitrate+nitrita (t-0.il» p-O.SSJ , nitrite
™ 71 p-0.49); and soluble reactive phosphorus (trt.10. p-0-07) ,
-------
T*bl« C-l.
R*siiltB
Appenu^x
Revision 0
Date; 11/16/95
Page 3 of 9
sampl*
i
2
3
4
S
fi
7
a
9
10
i — mti
Day»
0
6
7
20
21
24
25
26
27
35
^_^— .^ ^^^
D*t«
Q3-Mar-95
OS-Mar-iS
iO-Mar-SS
23-M*r-§5
24-Mar-S5
2?-Mar-95
2i-H«r-i5
2i-«ar-95
30-M»r-95
07-Apr-95
KH4-R
(PH)
2.09
2.58
2.37
3.01
2.73
2.60
1.98
2.05
2.10
2.74
NH4-F
IPM)
2.06
2*64
2.92
2,23
3.19
2.31
2. IS
2.13
2.19
a, so
H+N-R
(MM)
1.44
1.42
1.56
1,67
1.51
1.53
1.48
1.50
1.47
1.48
M+M-F
(MM)
1.40
1.41
1.61
1*4S
1.54
1.51
1.50
1.50
1.50
1.49
N02-R
fpM)
0.25
0.25
0.34
0.32
0.25
0.30
0.37
0.26
0.27
0.24
N02-P
(PHI
0.25
0.24
0.38
0.26
0.25
0.26
0.27
0.25
0.2S
0,26
BRP-R
(MM)
0.06
0.12
0.07
0.09
0.04
O.OB
0.08
0.04
0.14
O.OS
6RP-P
(MM)
0.06
0.10
0.06
0.09
0.07
0.03
O.OS
0.03
0.09
0,06
-------
I
I.. «r» V,A ;iN«. f, pi. 11II-117/1 jt|}
••niUMl Ml t.iril 8fll.li* • - •
THE EFFECT OF FROSN STORAGE OF OPEN-OCEAN
SEA WATER SAMPLES ON THE CONCENTRATION OF
DISSOLVED PHOSPHATE AND NITRATE
A. Cimmmatt* ind S*u,i- E W*nt
CSIRO Diw«,fl rf Futeiiea, G.P.O. Boi |JH. HMnn, Taimaaia IBM. Awiralw
samples «h>ck wen itotctl at -
to . «.«,««, rf 24 m,,,,,^ fta ^^ fo, „,„„.
of ihr
nyutenii
b* r jpUintd ji
I»M * *M not dlM 10 ttw AetS Of Wife* adHMflMM..
r«ie« iMtait. mnp HIM. Hurtaa idMMpaon, nitrat* pht«ptw;c,
"NTBOUI.CTTOfl
Bw iioraic of semwaiar sampiei for nuincnt analyses
lut been a problem ihat has pVagucd re^archm Tot
more ih»n 40 yean, Hayrwey |IW|> wu tme ufihc nm
fKca,rehc« lo deal with the pcoWem. Ideally lampka
ihould be analyud immediaidy after collection; tew-
ewr» LMi 11 not alwayi possiMe, and wftea iruJyiicaJ
cquiptnmt Hills dunn| an iruenuv* (fcJd profram ar
umpte ojHeclion it froiB • vcmoic location, simple*
(HUM be norcd. Qceanopiphk viudicj urn *m
oampte of an intenim htlJ pregraw whem Kmited
pcnonnel, mfyfficknl imw 10 amiyjc lampla be-
tween sampte cnir«aioBii and weitlw condinonj may
ill mean ihai samples ha1** to IK Horrd. It is therefore
ntreeiwry to ttorc SMnpha n» as to minimue any
drama in the conccniniiooj of nuiricnu wiUi lime.
Tlw liieraiiwi OB iiorage ttdmiquei foe autmat
jwnples dcvrnba an array «f uduiiqiia. Some «rf
these techniques and the corresponding rrjulu are
w«««riTOi In Tabfa i. Samples h,ve ten «oml by
ftteam. quick frecanf widi dry ice and the *dd.tl«rar*
sunn of this uwdy wm to determine hw««" |,»n,.
Mmplti can be storol from without aff«tu»f .he
reliability of analyrical mute foe Mtme ana ph,,%
» awnm the dfccit, if any. ,«' oinia»nrr
area on chan|ct m nuinent cunftn.
MATEM US AND MCTIN)»S
Tfct
Tae
tkt «Ub*ii% 41
JJIIC Tht iB^phr WM ccritactcd in rhrre Jt'l. f»\T
bwilet MI a CID raMM and cmpM into s, 31
wtatod. mm
ID *hoin at) conrtsponteiet ihould he
niAer cdbcom
rj » Milbpore 0,4$ pm Miner thai hjj
W* MQ wlutioo, Appraiimmirii 6M»m( %H
water wai lUtcnm and divauded More ih.
nliwri aad rtUMtd (w
-------
M*» ikr
Amfcun
KMrv*. •il}itil
lipc
tnurt
M^I
-ll
a*i w**ck «ij, NO,
I; , NO,
, NO, ,
apMwt«ilui«t3nilO41*ii MiftfMtl
100.
Ham
F«un.
M) M |«IH. |lttL
Hurt
M >
Tdkr* iMl |ii
N, P
fimnn.
Clin,
Fi»lui>uaKd hiiuJ Own* IfuWfl,
M' Mmp
CltD,
Ida ail
0»rt. ^ C
NiF
CHQ,
jrJ T>|CO,i-
I!A.ICJ« -iih
L mi«J uUi]4^
4r
t .wtaii uagifa itwinl
^P WHiVMlHr %(M (JHPHF
IIH IHM * Atpl Fnwi*
IkMhiiiieMtc
HUC Jl|fcl
ui NO,
MIIIWIH
i j| jM
i* i|wct (iihmi
••Mh tKO, i» 114*4*
.-«nJli ten itt*n in
franw w imrraj
-------
'Tic citicn of fn
boUin [hithJmuir polwihyVnc wMh InA proof
wM »nd KRV tip (Kmrtctn. mrfaoi •m/volum . fljjfc
171 -'-Oinl bank* (aa for I; iwfae* irtuvoluow - I 4ft
ill »ml idftiiiUiioa mala |hi|ln)rri
•Mb polypropylene tern* cap fKarteMJj
piufc-4M cap (Ditpotaob Producu Awmlitlc lurfcc
jreaftoJumr - 1;H| Except for the 15 ml tuba, all cmn»,n-
cii had been toafcrd in 10% HO wluiion for n Icajt «| h,
ontcd 3 times «ith w»ur friMi a Miiiporc MilU RO/Mtlli-Q
lywtai and nnwd (WWE *nh tht Alumt «a*ilCT uaplc.
'Tbe lube, wm tuoally u«u « mnml from the nunufac-
i*«re wnh the Mrcrcd vjwuer iampk. Two KpNcaiti fw
««ch conntnrr for eack iterant period wet* ukot The
onniaMwa *«« WW at randnm md lr> only 7/| of ihtir
iM*l voliMie. After M cnntiMien tat ibj ennn opmmat
h*d born HIM ifcey ww* Irtan u -40TC in • Man freeier
All conuwtr* w*r« in the frtcm* tmata 1
collection After (he cruti* iht wbumph
toom UTT,peT»«uir a«r 1-J h i»d •nalyic4 for niirat* Jd
phoiphair-wnrun m Further J-4 *> *JV» 9 I&. la AT JUIM
of OM iwUkwii we tlttOIjtM for niua.c .mj
flU S ± 001 nM for ptaifkMt.
TIB rawfw wra» mbjrai to a t*»-f»ewif »n»l>ii».,rf,
wwunfit mih tm F \ot (m Knew irenrt M cUv Tie iinrjr
IIWl M leMMi ipmi IMM tqiurc ««• «e*utHi«n rrom
macr ibM ite mdnal ntcm %e^ut hetaiiv
of rMHtBdif *houl ihc re-
u •
ibc ptM»phu< niiM r*f*n i,§
« l»u iquam funcnon niitnK ruttiiiNr I Miller
10 fil • two pJuic timnkr „»„,« „, |(|e
•E5LLTS
OtSCUSKlN
Tht vmrutiioo in conocntration of nitrite jrxl phu«»
ptele In frozen oceuuc satwiicr wmpki «-iih time u
ihown « Ftp 1 uui I Brforr I he «siniical ajuJ^iih
perfcvmcd. om "rBmtwielE"* data po,m ^aj ' re.
fne« the dat* KI m OBrf cuniammat
for ii_
Phoiprt»ic ind aitraie were drirtimntd
3020 Row iM|toi0a »*mly**t with • T«awt M1J
l»lMMam«rr md . H«wlE«-P»ek*riJ TI2JA cK«i
Tl* method for miraur arulywt »n |ij«d on ihn«
by Arnlcnon {|97V| and JuJwwwn ind
20
13
Til* total mraUily in the data frwn uorage
uodici u due (a the cdrabtnaimn of xvcral fnuim
in» MM 10 «ora§e lime ar tjfpe aJone fMacOunaU
and McLauKhlin, I9«2. KronKn| and Wcnek I486)
Tfc« imal v.nabiLty (3^) » «1"*J » the vanabiln>
*i«n « fraup of rrpJkun (5.) piu% the v^nai
idmiieai wmplei aitalywd o« difl^rvni
2SO ml boilhi
SO nri bom*
TO
30 ml sdniWaitofi vtal
* I
40O
MO
IS ml lute
it
200
4m
12
600 HDD
24 months
F,. ,
rim* «ti v>i
i.
and
am.
»..*«•« i _•
-------
ISO nru o 011 It:
\
,) J •;
sominottt*
3 | *0 ml SCMII illation wul
III*., .
0(1
00
Son
i
s
400
12
IS ml luto«
24 months
Sloragr Hrm ((Uv>»
4aa
t2
600 MO
24 ntonins
ip .' Varuunn *n cancenrunon ofdithilvtd photpluutmilk itanft umc (OT botlln of different volume
mil mclase area.
r^i- ;hr \ari4hiliiv tiuc in
iyj i)|v • f, i
lime and
V.» - V - f. +• ^
Che u'lhin-rrplicaie \-irur»M> is cqtuJ lo ihe arulyti-
«.il pri-*i%nihi'tjid rcmjin ihc umc ihrnughoul the
!'pej (F-tesi (f ) • 2.66;
cn oi' Freedom (d.fj-l.50; probafcuhty
H05J The difference in concern rat ion between
w« signtfieam (F - 13,91; dX • 12.50;
^ < 0001 >. but ai ihe coneeatrmiion did not chmp
linearly with uorage nme (F-0.134; d.t. «I,J|;
/* > 0 U5>. and ihe ilora§e l>pc» rciponded simihrty
Jt each %«»m|B droe (no ii|nific»ni interaclion:
f - I *l d.f. - 3S.JO. P > 0 05), this difference mu«
be due ia the d*y to da* vanabtliiy
The v»ftabiluy due ta calibration eflccii rangri
from 0.3 to 1.2% of the twngr concentration The
o (nerved vanaWNty in cooccntfation n greater than
1,1%. thus the day to day wrubibiy is mostly
mnkrtn»b(e to factors otter than calibration uncer-
tainty The variability tn nrnpiet docs not appear to
increase with 51 or age time aj found by other workers
(MiicDoiuld awl Mclaughlin, 1912; KrcmJini and
Wenct,' I9I6*.
The overaU iJope cjdmatc from the regrnttom
of nitrauc concentration on time wu -OOO025
(SE - 0 000323). This implies * dtcreaie in niirai*
coneentraiion uf 1.2% ovet (he 729 diyt of the siudy,
Givta the lorei of vanabihty in thti dam. a dope of
-0.0006) or t drop in eoiweniniiioB of 3% should
have been observed lo detect a statistically Mgmfkam
decrraie in nitrate concentration with nor age time.
The difference in concentratioD between $tora§e
time* w(, hi^ily jtgn.ficam (f - 201.83; d.f. - 12.30:
f < 0,0011, ind this *n l»rgtly aitnbuuWe to a
ugmikaiii linear trend owr lime (f-IItIM;
d,.f, -l.ll; F. A rwn si jnificant iniennio*
{F - 1.5* d.f. - 34,»; f > 0,05) ibowett that itont*
iypa rtspoBded imniiarly over line, figure 2 show»
thai the data for all stomp types, except the 1 5 mi
tube, fetl into three distinct phases; lb« phosphate
conDefuration renamed constant for •pprontmateiy
ihe first 200 dayi and
off M
phoxp
be dei
bilun
sampii
that id
«nd st;
I ration
afier :
nine, li-
ra i ios
i ration
* possi
The
cant j
d.r - j
enii/rJv
phate c
ihennt»
to ihe i
indicate
deereasi
behaves
'arnplej
grcatesi
phiispila
because
cri. Ho«
wa* mad
-------
, ion The
Her (ham
% mostly
• n. uncer-
, ppear to
.reuion
i nuraie
ne utidy
of
igftificant
Age lime.
n storage
'. - 12.50:
[Jbie (o a
- MM 76.
the 1 5 mi
The effect of fi
itonp
lime before jppesnng 10 rarnin relatively caruum
lot I he remainder of ihc study. One of the prime aim*
of ihn uudy *n to find out how long uunpla could "
be noret frosen without cbtnfo in phosphate con-
centration. Therefore tt was important to determine
i he storage tune at which the phosphate coaccn-
trauon sinned to decrease rather than »ry and fil a
model to i he enure set of data points For liiu reason
the data points corresponding la 590, §45 and 773
davi storage lime were omitted from further analyst*
Ithcic were (he data point! that appeared to remain
conn ant at j lower concentration). To determine the
point at which the concentration began id decrease a
model comiiiing of two straight bnei, the Hut with
xcro slope. <*»» Ailed to the data (w* Rg. 2X The
estimated times. Tor cadi itonp treatment, u which.
i he phosphate concentration begin 10 decrease and
their uindard errors ore shown in Table 2, These
results indicate that in the 130 ml boitlc. 3H ml bonk
and the nomination vial, the phosphate concen-
tration remained unchanged for the firu 210 dayt of
frozen Morale and then steadily decreased at Hie
vimc rate with increasing Horace lime until levelling
off at appro*. 400 days. The exact time at whkh the
phosphite concentration slopped decreaung cannot
be deternunrd from thit uudy, Due to equipment
failure there was a period of 200 days in whkh no
samples were analysed and it wat during thii penod
that the photphale concentration stopped decreasing
jnti started to remain ai st, rclativriy constant canon*
inttcHt. The decreaie in phosphate concentration
after 1(0 dayi cannot be eipUmed at ihc preient
lime, Ho wrvcr, as the different suifacc area to volume
raoot «jf the coniainert did not :iffcci the conccn-
tranuni. w«U adsorplinfi efTecls can be (Jiwrountcd :u
a pofuble reason for the tusi of phosphate.
The jnalviu-of-varuncc also indicated a ugmrV
cani iJirTcrrnce between iioragc types (/"»4.55;
d.r, - 1.50; f <0,(JI), hut r-testi showed tlm to be
entirely due to the tube having a tower mean phos-
phate concentrauon than the other containers. Fur-
thermore a linear model (/?'=• 0 89) was the ben fit
to the data points Tor the tube (ice Fig. 2) which
indicates that the phosphate concent ration bepn
4ecreasin| immediately on Ocean§. Why the tube
behave* differently in the storage of phosphite
iamplei is uncertain. Although the lube had the
greatest surface area to volume ratio, the early la« of*
phoiphaie cannot be attributed to wall adiorption
because this effect tnu not round in the other contain-
ers However, the lube w»s the only container whkh
was made of polypropylene rather ihan high-denuiy
and «J» tu4 not been iod «
befon tha nut of th* experiment. Potublv one or
both of litoa facton are mponubk for the njnifi
tautf dJfemx found ia ttortng samples for phos-
phate amrrm m the lubej rather than the other
Kremlint tad Wenck (1986) iuggest that phos-
phite OHM be Ukco wp during the freeing and
thawing pexiodi fcy pfohFermuiig ifucro^nrgmsins
that ttlach thonselv« ifl the walli of the contunrn
However, it n not known why the mitu-^Fjrw.m-,
temtJil in a "dormant " itatc for approi 2111 Jjv^
before pffoliGntini and then later rttunt to » .U.f-
Hunt" lute. If they uuch themvclvci to the
Ll» conmoer when proliferating, ihii stwh.
contwnen of djAcrent turface area 10 volume ratim
wet* uaed. ihouM h»ve ihown wxrving phovphaic l^ni
with uimfe type.
Tli« above uatiiucat reiulu jppty only m the
oceanic teawaier lampln. but simiLar icsurti were
abiauwd for the Hunpiea from the coastal MIC. Nn
linear trend wis found between nitrate concetttration
and StOtagt time. For phosphate • significant linear
trend WH found to exist between c^ncentr jutm jnil
ttorage IMK,
Im an attempt to resolve the ht-havinur of pho\
t>h>ie im ttorrd wmptd a second expcnmcni ^a-,
initiated. Sunptes WCR collected in April I9X1) irorn
•pproximitely the same powtion (41 40'S I4« n F»
•nd depth as tho*e collected in July 1 at ihcrc
had ban no dilference between the Bflml. MI ml
bottles and the soBuMation via* m the im earx-t.
iment, only 50 ml bottle and tubes were used in ihc
second experiment. Tic bottles and lubei
vided {MO two Ktc those thai had been und
u prrrtouily dcicnbcd and those that *cre
recci*^ from ihe nwmifaeturer. The container*
Riled and stored m ihe »mc manner m the coniu
in the tint experiment and were analy led -Met I ft iti
a. n, iia im iw, ZH. 241 a*ui 1*7 **„
M M the Im experiraeiK the analyi.i*-.i.r-urami
mdkcalcd that the cooccnirauon of pho^ptutr n
ipcmded dificrattly owr lime for the -i
50ml bottJe and the acid-wuhcd iuN-
d.r*9JOc 001 < f < e.flSI, For the
tnaiys»-of.vinance showed it significant
betwe« storage time and wid washtnp i f * •< M
i.f. -§»» F .Qmt tHittlt
Tube
nmi
(i m*
.• ^nu
_ — _ —
110
110
(1 i nuW RIM he ftlltd
n
14
IJ
BIWI
000)
n i»«ii
'k !.,«,>
DtMM
-------
fc.
.,.tuJ
.. nt>l ' ,..'o .*<* >tlC -
i ~ n i <>*r-t •»'«•" .itui^t-i Thai \\ (he c
; i he tina points for
i.unitl h£i*«n these
;h. '> for ihc Urtt eipar-
i ,ii»,i UT ila>s Mr (he *x«»itd rtpcmncm. TTiis
cfkv -tw he c\pl*jncil hy ihc tltfTcrent compo*
<»i i hi.- %4-ju4icr vjcnplc1. used in the iwn
'UK urs _nii I ,,oiilJ tie iCNicd in it loiuic -.ludv
>Hi.pl«:-> mlkxitU I mm
ih ti
JIIN4 I I
r, nil* irum ihv%c %«TI§C rxpcrimcnu mdicaie
fk-c/ing «..m he -j (i-li.ihlc ;ind cffcvlivc iticans of
^ . ^v.inu ,md kiwljl sjinplcv for nuiriutll
«»•> The i-iintcnirjiian nJ" nnralc showed no
, .mi iri-nU *iih "lurcjving >Mr;i|tc nmc. I or
k pho\pti«n r ,mjl\«n. ihcfrnien ^niptci must
'«,» -A ic hi n ^ppfi»i. •*
ihi-, Hmc the phtiiphjic citnvcniniiHin will
kft..iKi; "tii'iiJth *iih intfcjMtn* i in ihinc>.iiirjiioi» wnh siorapc lime.
ll *«iuniin|£ i til IK-.V nl*
' "I nfl.JLV ll
like hi ihink
. (,'."•. "f fhv* julhi>is m
iiklt.jiTiai »»l t M\' *ii«« ii*
•mimes
A ndenon L. ( 1 1 t*J Similiiaeoiu ipiniophouwnrtnc daer-
ol n*in(€ ind miraic tof He* mjcuian
rAwi, ^CM 111. 1 23- 1 21.
A,, liana G. P., Gtiffllhi F. i. and Ximmtr
D * ||9J9t ScuonU »nd iaKr-«miuI vimbiUiy M
cHcmN.j| and biokipul picimclcrt M Slorm BJ»,
Titmuiia. 1: ptiywa. chcmuity and ih< btomau uf
component! of the Food ckiin. .4«u< /. .Wor f>ri*»«l
ffri 40. JS'11.
Gilm»ru« M. {IWT1 Ch»nga m wmrpmc phcupliiie con-
crnu»uon MJCUfTMt Junnt ie»*»»t<:r umpk Moragt
M, and Key F, 1 1 914 > Slonp of Kitwaler for
n»uirnt >n>ly»i FHkM Ifanrf, 4 1-12.
Harvey M. W. (I Mil He «tiMnnion «rfpHoiph«lr ind «cu»l
n*ntphoru> Hi vm vMdl. / M«r. AM, AIL if K 17.
.117- Ml,
Joiimon K. 5. »nd Petty R.. L I1W1 Dciermmaiio. d*
nxt niinte » «a*»icr by low iajtauM *nity«»
Ormmitr. II, l36O-U6fc.
Kanlnff F. (J976) DetttmnawM of piwffrfiwm, In
e/&*lMMr Aimiysu (Edited by Gtusho* K X,
Ill- til. Owwte. Wctnhcttn,
1C. anil Wwdl A, (I9MJ Oi te fMMife of
qianH: photphitc. nilnu *nd neaciiwc ttU*
m Atlinlic Ocnii *»itr nmpfai, Al4 etliuftnc *»i«r» *af. ftrt, 16,
91 IM.
MUkr A J. (19111 iMM— A iwbMWHW .for uncansiiaiiKii
•on liocir leait tquain filling C5IRO (AiMlr»ha| Oiv
d bait. Rep. VTI1/21.
J. W.. Hum M . Zulht J,. Muco A. and Mender T.
I19R2) A n>mp»miino« of lira uwayr mctbodi
fur (he aiiah/Ms of nurepa and plmptkonu (nctiuiu M
water , Chn^umkr Sri. H, IM-J5I.
C'l,
^pi
ihc
br
Jfll
thl
eor
wa(
«a
and
bat
Oil
hcc
>nic
it i
IV,,,
A!
•1 O
ceu.
(MM
fur t
-------
APPENDIX D
An Equivalency Study on th« Pr»a«rvation
of Total organic carbon Samplas With uid Without meid
-------
Appendix D
Revision «J
Date: ll/lfi/95
Page 2 of 4
99S Florida Department of Environmental Protection
SERP'iCo»p«LnsiVe Quality Assurance Project Plan
) The approval did not include the analysis of total
carbon (TOC) by U>A Method 415.1 without pH preservation of
£l.« SERF demonstrated through an equivalency ****.
SS preserved samples produced equivalent results. In
to their commentf SEEP has completed an equivalency study
atinqTiw significant difference in the results of TOG
with and without pH preservation. The results of this
study are presented herein.
METHODS
nn 2 March 1995, two 2-liter bottles of surface water warn
collected fro« Florida Bay Station 16 (Murray KeyJ . «»**««
Sil filled I according to the protocols described in SEW' • ConpQAF.
SSif iciUY th« bottle* were rinsed three tines with sample vater
o?ior to bing filled. The bottles *«re then stored in a dark
coiter JitSo^?i« and transported to SEBP's laboratory on the same
day of sample collection.
laboratory one of the bottles was acidified with 0.5 ml of
"
TOC and 15 labelled No Acid TOC). Each of
1^ '
analyzed.
k method 415.1 as
and non-acidified
.«*. "«« anTlyzed""^;- thVcoarse^ 33 days from sample
"Section, corresponding with EPA's recommended holding tim. for
organic carbon analyses.
RESULTS
ustd to tMt-5?eregultsy|ro]1 the acidified and non-acidified
population). The
-------
Appendix 0
Revision Q
Date: 11/16/95
page 3 of 4
between the TOC concentrations of the acidified and non-acidified
samples*
-------
Appendix D
Revision 0
Data: 11/16/95
Page 4 of 4
BmltTof Acidified and »on-Jiciaifli«t TQC
s i' if.' "Hr-i^^mmaa
Days
0
1
7
8
13
21
22
23
24
25
26
27
32
33
BS^^BBBiiliBHBiMM^^^Wi^™^^
TOC (mg/lJ
Ho Acid
8.395
6.395
7.489
7.1S6
7.541
6.271
7.559
5,130
6.626
5,616
6.885
7.348
6.385
5.513
— ____ i i ii
TOC lrag/1) 1
Acid 1
8,412 1
6.145 |
7.420 |
7.084 I
7.763
5.915
7.038
4.814
6.130
5.888
6.921 1
7.392
6.568
5,550
-------
APPENDIX E
SERP Standard Operating Procedures
-------
Standard Operating Procedures
fof Total Phosphorus Analyse
Southeast Environmental Research Program
Florida International University
Version I
September 1997
-------
Table of Contents
Section Section
^
fife,
1 0 TotaJ Phosphorus Methods
'•' Sample Preparation 2
I.l-l Sam-ptePreparation
1.1.2 Wate- Saiqjte Preparation
1.2 I0
'•Z.! AutoanafyKT Reagents
1 -2,2 Total Phosphorus Standards
J.2.3 AutoM^OTfaarun^paj
1.2.4 AutoamlyaerCiftratkHi and
1.2.5 AMoanaJj2» Statdown
1.2.6
-J Caloilaticjns
g
=0 QMJC and Corraaiw Action
0 Total Pfiosphoms Forms
-------
Total Phosphorus in Soils and Sediments
Method ID: R4 Phosphorus.Sed MI
4,
This method is used for the determination of total phosphorus in soils and sediments.
The working range is from 0,5 to 10 mg/L of prepared sample (instrument cal. range).
2- S^m|2.k,£,regi|rat[gn
2,1 A portion of the sample is dried at 105° C.
2,2 The dried sample is ground. Discard rocks.
1
3.1 Sutfuric acid solution (H,SO4): Add 25 Ml of cone, H,SO4 to DI water and dilute
to I liter.
3.2 Potassium persulfate (K,S2OS): Dissolve 4 grams K:S4Og in DI water and dilute to
1 liter,
4.1 Do not use commercial detergents for glassware used in this determination.
4.2 Weigh 0. 1 to 0.2 grams dried sample into an autoclavable phosphorus- free
container and add 5 ml, D! water.
4.3 Add 5 ml, of the sulfuric aeid solution (3.1 ) and 10 ml. of the potassium
persulfate (3.2),
4.4 Prepare a 100 ppm PO4 as P intermediate standard. A set of standards (suggested
range: 0.5 to 1 0 mg/L PO4 as P) are digested in the same manner as the samples.
4.5 Cover the container loosely with a cap or foil and autoclave for 30 minutes at
250°F(120° C)and ISpsi.
5. Analysis
5.1 After digestion, phosphorus is determined by the automated single reagent method
(Methods for the Chemical Analysis of Water and Wastes, EPA, Method 365,1 ).
5.2 The wash water is 6.2 mL H2SO4 per liter,
-------
6.
Dry weight basis;
Phos rng/kg - ug/g = .ag/mL phos \ 5 nil
gram s sa x ^ is o I ul s {d cc n 11 a 11
Sed_TP.wpd
-------
1.0 Total Phosphorus Methods
For Hie ddermuation of total phosphorus in water, soii sediment, and tissue samples, SERF does not
use the typical ammonium persuMate digestion because of the explosive hazards and special handling
requirements associated with the use of this chemical. Instead, SERF uses a irodiicanQn of the sample
preparation methods described by Solorzano and Sharp (1910, Determination of tote/ dfcxrfwa/
phasphorits andpartiatlale phosphorus in natural waters. LimnoL Qceanogr., 25(4), pp. 754-758 {see
attached). Total phosphorus is determined in water, soil, sediment, and tissue samples by oxidizing and
hydroJyzing all of the phosphorus-containing compounds in a sample to soluble reactive phosphate.
Soluble reactive phosphate then is determined by reacting phosphate with molybdenum (VI) and
antimony (III) in an acid medium to form a phc^hoantimonylmdybdenuin complex; this complex is
reduced with ascorbic acid to form a colored dye.
Anafrj/sis for soluble reactive phosphorus is performed by wet chemical analysis using a angle-channel
Alpkan RFA-5IO Nutrient Analyzer following EPA Method 365,1 and the procedure suggested by the
Alpten Corporation, modified for optimum conditions in our laboratory. SERF analyzes total
phosphorus on a separate autoanaiyzcr from that used for soluble inorganic nutrient analysis.
LI Sample Preparation
Sample preparation for total phosphorus determination is done as soon as possible. Water samples
should be prepared within 24 hours of sample collection, and are often prepared imniediatdy upon
return to the laboratory.
1.1.1 Sample Preparation Reagents
Magnesium suUjate jMgSOjXJLLZ-N' 10.475 g magnesium suMate is dissolved in 250 ml
DIW. 0.5 ml concentrated sulfurie acid is then added
0.06 N - 5 ml cone, hydrochloric acid in I L total volume DIW.
0,12 N - 10 ml cone, hydrochloric acid in I L total volume DIW
0 18 N - 15 ml cone hydrochloric acid in I L total volume DIW,
0.24 N - 20 ml cone, hydrochloric acid in I L total volume DIW.
(Use caution when making add solutions. Always add acid to water. The raking of acid in
water may generate heat.)
1,1,2 Water Sample Preparation
1. Prepare a tray with two or three 8 ml scintillation vials (without the aluminum-lined
caps) per sample bottle plus two vials for DIW method reagent Wanks, two vials for
SPEX stendards, and two vials for each matrix spike. Add 100 uJofOJTNMigSO*to
each vial using the 5.0 ml dispenser tip (I = 100 jj) and an Eppendorf pipet setting of
-------
I. Fin out a tort phosphorus preparation Jog sheet with the pJicement and contents of
the vwls on the tray. Record the date the MgSOi used was made,
2. AddS ml of sample water into each of the vials.
3. Pto ^ » M 8QGC oven and ewoaram to drynes^ Record the
log sheet
Ash thej samples at SSGQC in a muffle furnace for 3 horn and allow to cod overnight
Transfer the vials from the plastic trays to the metal trays, kc^ the vials in the exact
same order as outlined on the sample preparation tag sheet A melt pellet (metee
pout of S5TOC) should be placed in an empty vial in an empty space on one of the
trays to confirm that the furnace readied 550DC, Record the dale and time the
samples were placed in the furnace and removed fit«i tl^ &n«ce and whether or not
fe pellet melted. Qnoe coot, return the vials from the metel trays to die plastic trays,
keeping tl» vials in the exact same order as outlined on the sample preparation tog
sheet. ,
each sample wth the aM^ The normaJitv
of the acid »s dependent on the salinity of the sample according to the Mowing tabfe:
O.0-I5ppt 0.06 N
l6-3Ippt 0.12 N
39-S5ppt OJSN
56 - 80 ppt 0.24 N
Record the date and time the acid was added, the acid con«iitraiioii(s) used, and the
date
-------
same order as outlined on the sample preparation log sheet A mdt pdlet {melting
point of 550GQ should be placed in an empty viai in an empty space on one of the
trays to confirm thai the furnace reached SSOQC. Record the date and tone the
samples were placed in the furnace and removed from the furnace and whether or not
the pete meted. Once cool, return the vials from the metal trays to the plastic trays,
keeping the vials in the exact same order as outlined on the simple preparation log
sheet
Hydrolyze each sample with the addition of 10 ml of 0.24 N hydrochloric acid. Record
the date and time the acid was added and the date the acid was made on the sample
preparation log sheet.
Cap each sample tightly with potyiined caps, shake using a vortexer, and put into an
80DC oven overnight After removing from the oven, aflow to cod and shake again.
Record the dates and times the vials were taken out of the oven and shaken on the
sample preparation log sheet.
Analyze at a I 10 dilution (200 (J of sample with 1 800 pi DIW),
1.2 Analysis
1.2.1 Autoanaiyzer Reagents
Afl reagents are made with the high reagent-grade chemicals dissolved in douWe-^aornzed water.
Blank and wash water: The salinity of the blank water and the samples effect the shape of the peaks
from the autoanalyzer, therefore we match the salinity of the blank and wash 'water to the salinity of the
samples. Samples with salinities of 1 5 ppt or kss are run with nutrient-free DIW acidified with sulfuric
acid (Z.OrmYlSL), Samples with saftroties greater than 15 ppt are .run with nutrient-fiiee seawater
aadified with sulfinic acid (3.0mVI5L), The nutrient-free seawater is obtained from the Sargasso Sea
and stored in carboys fitted with ammonia traps. Blank and wash water are pumped directly from
these carboys to the autoanalyzer,
Total phosphorus analysis requires ive reagents which are mixed Just prior to the analysis to make a
working reagent.
Antimony potassium tartrate: 0 J5 g antimony potassium tartrate is dissolved in 250 ml DIW.
Ammonium., molybdate: 20 g ammonium motybdate is dissolved in 500 ml DIW. Do not
refrigerate.
SuEjiic add solution: 140 ml cone, sulfuric acid is added to 900 ml DIW.
(Use caution when making add solutions, Always add acid to water. The mixing of acid in
water may generate heat)
Ascorbic acid: 6.0 g asoorbK acid is dissolved in 200 ml acetone and 200 ml DIW
Refrigerate
-------
Sodium dbdecyl .suMate fSDSX 1 5% w/w: 15 g sodium dodeeyl sulfke is added to 85 ml
DJW.
gfg,. qxed reagent: Combine 50 mJ sulfijric acid solution, 5 ml antimony potassium
tartraie solution, 15 ml ammonium molybdate, 30 ml ascorbic acid, and 2 ml SDS,
1.2.2 Total Phosphorus Standards
The primary standard for total phosphorus is the same as chat used for soluble reactive phosphate.
simdaidJLQOQ |iM: Dissolve O.I 360 g potassium dihydrogen phosphate in
i L DIW, Add 2 ml chloroform Final concentration is the equivalent of 1,0 ^motes/ml.
SPEX aandaM. 0,SO,|iM: 1 5.5 pj of SPEX eoncsenttate (1000 ppm) in 1 L total volume DIW.
Working standards for water samples are prepared from the primary standard in DIW or Sargasso
Seawater depending upon 'the salinity of the samples, For water samples with salinities of IS ppt or
less, standards are prepared in DIW. Sargasso Seawater is used for water samples with salinities
greater than 1 5 ppt. The working standards are made to bracket the expected concentration of the
samples as shown in Table 3. A log book is kept by the total phosphorus autoanalyzer. In the log
book record the slope and correlation coefficient of the calibration curve, the 'water murk (freshwater
or seavaler), the instrument range setting, the technician's initials, and the preparation dates of the
primary phosphorus standard and five reagents.
-------
Table 1. Working standards for total phosphorus determination.
Working Standard
Low Standard Curve
SI
S2
S3
54
S5
High Standard Curve
SI
S2
S3
S4
S5
Standartl Curve for
Solid Samples
..
S2
S3
S4
JS5
Volume of Primary
Standard in 100 ml of
DIW or Seawater
10 pi
SO pi
100 ml
1 50 pi
200 pi
125 pi
250 nl
500 pi
750 pi
1000 pi
125 pi
250 pi
500 pi
750 pi
1000 pi
Phosphorus Standard
Concentration (pM)
0.10
0,50
LOO
l.SO
2.00
1.25
2.50
5.00
7,50
10.00
3-8? pg/g
7-?4 pg/g
»S,48pg%
23.22 pg/g
30.97 pg/g
-------
1.2.3 Autoanalyzer Instrument Parameters
Alpkam Rapid Flow Analyzer (RFA, AJpkem Corp., Clackamas, OR}) Model 510 with
Sampler Model 301
Ffowcdl: 5,5 mm
Filter: 660 nm
Heat bath: Omega Model CN90QGA, 45 CC
Rise time: 3 sec,
Absorbance range: 0.02 (for low standard curve) or 0.1 (for high or solid sample standard
curves) AUFS
Sample time; 35 sec.
Wash time; 65 sec.
1.2.4 Autoanalyzer Calibration and Operation
After power is turned on to all units and the tubes are reconnected to the rollers, start wash water
(DlWor sea water, depending on the samples to be analyzed) and mixed reagent flowing through
the autoanaJyzer Then flush the instrument for at least 10 minutes or until the baseline is stable,
then press autozero Load a few vials of high standard (S5) to be analyzed until 60% fl scale is
achieved The computer table is then created with the samples to be loaded. When the samples
are loaded, press
Alt-1, wait 20 seconds, then press start on the sampler.
Each run of the autoanalyzer begins with the running of a SYNC cup (SS) then a wash water
blank, A complete set of blanks and the 5 working standards described in Table I are then run.
Following the standard curve is a carryover (which is the tow standard SI), a low standard (Si),
and a check cal (S3) Additionally, a blank sample and an S4 are placed after every 10 sample
viais in an autoanalyzer run to monitor baseline and tntra-run calibration drift. At the end of the
run, at SS cup is run again,
Samples that are out-of-range of the standard curve are diluted and reanalyzed.
L15 Autoanalyzer Shutdown
The following reagents are needed:
Sodjyum jiydroxide (NaQHX I N: 40 g of sodium hydroxide is added to I L of DIW.
Hydrochloric jBadXHCJL10% vhr. 100 ml of cone, hydrochloric acid in 1 L total
volume.
Mar the last samples are analyzed, the instrument should be flushed with fresh wash water for 5
rain, 1N NaOH for 5 min, 10% HCI for 5 min, DIW for 5 min, and air for 5 min. Turn off the
power at the power strip (heat bath remains on all the time). Remove the tubes from the rollers.
-------
1.2.6 Autoanalyzer Preventahve Maintenance
All spills are immediately cleaned up. Following solid sample anafyses, NaOH and HQ ire
flushed through the tubing longer (10 min each) or are pushed through with a syringe for greater
pressure. Any worn tubing is replaced immediately,
1.3 Autoanalyzer Calculations
Mpketn SoftPae Plus version 1.07 release 1.0 software is used. Absoitance is directly
proportional to phosphorus concentration and is measured as peak height units. The peak heights
on the output have been corrected by the software for carry over and baseline. The slope,
intercept, and correlation coefficient are calculated by the software by first order regression. The
value for any given sample is then calculated by (peak height units - interceptysiope. The
intercq* will impart i false concentration to all the values (ie. on the low scale, the calaMon
will mull in Wanks with 0 peak height units having around a 0,0? ^M concentration) As the
software is not aHe to automatically correct for this, the false Wank value must then be subtracted
from d results. The earrectioii will be done in the data entry of the values.
-------
tO QA/QC and Connective Action
The standard curve should have a correlation coefficient 0 0.995 and the slope of the line should
fell within ± 2 S.D, of tlw historic mean (the allowable range is listed on the inside cover of the
logbook), A Ming slope or correlation coefficient indicate the need for either preventive
maintenance on the autoanalyzer or re-maMng of the standards.
To carry over (CO) shouJd be D 3%. The S4 continuing calibration checks should be ± 5% of the
S4 value, Equipment blanks and method reagent blanks should be D MDL (0.02 uM), QC check
standards (SPEX or citrus leaf standards) should be ± 5% of the expected value. Matrix spikes;
should be i S% of the expected value. The precision of the 2 - 4 values produced for every
sample should be Q 3%. Outliers (> 1 S.D. of the mean) ean be disemded. Any samples and runs
which do not meet these criteria may need to be reanalyzed. If a problem continues, preventative
maintenance on the autoanalyzer may be necessary.
-------
3.0 Tolil Phosphorus Forms
The ample preparation log sheets for water samples and solid (soil, sediment, and tissue) samples
ire shown in Figures I and 2. Figure 3 is a copy of a page from the instrument logbook.
-------
Fijpre 1. Sample preparation log sheet for wattr simples.
^r- scwrrsw*.* r*w*,j
* «"-• — rcn»n»i
fl..;a .
Pnp.
S «i
puc LH OWMI (Bfl-Cl;
(OiCB K<}Sa, IMH BUM t
Init.
out at
timm
Ate IA «M
Ck4t«
I •!.(.
a( «•
Old Ch* p«Ll«C -Bil? _____
Mi MM (S *l *CH, MMJM,
w( pic La
VMTLWI. put ea* i«ttor
15K5 THi Init,
TBtaM owe oC «MMI
Die* ~~" :flmm [011.
a*c« ¥!•• lilt.
D«CB tl»» Invc.
or proalwn:
-------
Figure 2. Sample preparation log sheet for solid samples.
SOP 77 ZS» v.l fan ~,
Tray
1200 jil 0.17N KqSO. - 1 at
Dili * -If mf •U^l« p«r •» V411 4IM
put US OWiHI 180'Cl:
M^SO, LUB
one of ov«n:
Puc LO anlft* owmi (5SOT|:
(nxt.
TlltMl out
fT«
Old th»
MM *crd (10 .X 0.2*11
i«d put in av«n |«O*C1;
ciue at
Bitii
'Cm or
-------
•n
f
3
M
i
B
n
g
-------
Standard Operating Procedures
for Laboratory and Field Nutrient Analysis
Southeast Environmental Research Program
Florida International University
-------
I
Table of Contents
Section Section Page
No. MiH§ No.
1.0 Introduction 2
2.0 F«W Procedures 3
2) Equipment Preparation 3
2,2 Water Sample Containers and Cleaning 4
23 Water Sample Collection 4
2.4 Soil/Sediment/Ttssue Sample Collection 6
2.5 Held Measurements 7
2.5.1 Field Measurement Corrective Actions I
2.5,2 SaliratyCowfcicdvity/Temperatuiie 8
2.53 Dissolved Oxygen 8
2.5.4 Light Measurements 9
2,5.5 pH 10
2.5.6 SEA-BIRD CTO II
3.0 Laboratory Procedures IS
3,1 DIW and Glassware Cleaning 15
3.2 Inorganic Filtered Nutrients 15
3,3 Total Phosphorus 21
3.4 Total Nitrogen 24
3.5 Total Organic Caibon 25
3.6 ChlorophyU-a 26
3.7 Alkaline Phosphatase Activity 27
3,8 TuiMdity 2S
40 QA/QC Samples 30
4. ] Equipment Blanks 30
42 Matrix Spike Samples 30
4.3 Continuing Calibration Check Samples 30
4,4 Quality Control Check Samples 30
4.5 Sample Shipping and Cham of Custody 30
4,6 Standard Receipt 31
5.0 Forms 32
6.0 References 31
-------
1.0 Introduction
This document describes SERFs standard operating procedures for the collection and analysts of
nutrient samples. The purpose of the document is to provide a cookbook of procedures and
instrument operation used on a daily baas by SHIP employees, SEEP typically collects and analyzes
bath fresh and saline surface waters for nutrient analyses. Soi/sedhnent and tissue (plant, fish) samples
are processed and analyzed on a United basis, and are also deserted in this document. Standard
operating procedures used in SERFs mercury laboratory are presented in another document.
3) QAQC samples. A detaied description of SEUPs QA/QC pfocedures for the nutrient laboratory is
presented in SEMFs CompQAP. to general, most QA/QC procedures are overseen by SERFs QA
•Officer. Section three of this document describes only QA/QC simples thai need to be processed by
the laboratory tediwciaiB on a day-to-day basis,
-------
10 Fidd Procedures
2.1 Equipment Preparation
Preceding a tnp to the field, the personnel responsible for collection of the samples are required to
ensure that everything is prepared for the expedition. This entails making sure that all sample
containers are clean and properly labelled, and that ail sampling and field measurement equipment are
properly deaned, charged and functioning within acceptable inks. Table I is an equipment checklist
prepared for the sampling team.
TABLE I
Fidd Equipment Checklist
Surface Water Sampling Equipment
1. Labeled and cleaned sample bottles (narrow-mouth plastic)
60 mL (2 per site)
125 mL (2 per site)
2, 140 mL clean plastic syringes
3, Microceritnfuge tubes
4. 2.5 cm in-line filter holders
5. 2.5cm Whatman GF/F glass fiber filters
6. Filter forceps
7. 2-5 gallon plastic bucket
8, Niskin sampler
Field Measurement Equipment
1, S/C/T nwter and probe
2. Dissolved oxygen meter and probe
3. Spare meters and probes
4, Salinity/Conductivity Check Standard,
5, Light Sensor
6. CTD
7. pH meter and buffers
8 Instrument manuals
Sample Preservation
I. Acetone {90%)
2. Disposable polyethylene bottle
3, Ice
4. Coolers
5. DI water (IL) for Equipment Blanks,
Boat Equipment Miscdtineous Equipment
1. GPS 1. Fidd data sheets
2. Radio 2, Pencils
-------
3 Portable Photic 3, Labd tape and waterproof pens
4 Life Vests 4. DIW squeeze bottle (filled)
5. Depth Finder
6. Boat hook
7, Emergency Flares
8. Charts
9 Tool Box
10 Fire Extinguisher
2.2 Water Sample Containers and Cleaning
SERF typically collects three types of water samples: 1) filtered soluble nutrient samples; 2) unaltered
total nutrient samples; and 3J cWorophyll-a samples. Clean 60 mL HDPE bottles are used for filtered
nutrient samples. These bottles are cleaned by first rinsing three times with distilled water, then rinsing
once with acetone to aid in drying and to remove organics. The bottles are shaken dry then capped.
Clean 125 mL HDPE bottles are used for total nutrient samples. These bottles are cleaned by rinsing
three antes with distilled water. Acetone is not used to dean the 125 mL bottles for totals analysis,
l.S mL nnicrocentnfuge tubes are used to store the chlorophyll samples. These are used once then
discarded Filter holders and syringes used to collected the filtered and chlorophyll samples are rinsed
wdl with distilled water. Syringes are allowed to air-dry in die dish drainer. Filter holders are placed
right side up on a plastic tray and placed in an 80°F oven overnight to dry. Once dry, Whatman GF/F
25 mm filters are placed in each holder. At the end of each field day, all field instruments and coolers
need to be wiped down with fresh water and dried before storing,
23 Water Sample Collection
Specie sampling locations are project specific. In general, surface water, sediment, and plant tissue
samples are collected from a boat, helicopter, airboat, or by a SCUBA diver. To enure collection of
undismrbed samples, the boat is advanced toward a sampling station from the downstream direction,
Surface water samples are collected as grab samples away from the outboard engine. Sediment or
tissue samples are collected by SCUBA diver or by wading toward the sampling location from the
downstream location. If surface water samples and sediment and/or tissue samples are collected at one
location, then the surface water samples are collected prior to the collection of sediment or tissue
samples, in areas of suspected high, concentrations such as downgradient of a landfill, samples are
collected ie order of suspected low concentration to higher concentration.
2J. 1 Filtered Water Samples (for soluble nutrient determinations)
a. Use dean 140 mL polypropylene syringes to collect filtered surface water samples.
b. Place the syringes to draw water 10 on below the surface of the water into the
direction of water flow {if applicable).
c. Partially 61 the syringe and rinse with sample water three tunes,
d FiM the syringe with 120 or 140 mL of water.
e. Attach a filter holder (containing a new filter) to the end of the syringe and force about
10 mL of sample through the filter to rinse.
-------
f. Use the remaning ffltraie from the syringe to rinse a 60 mi HDPE sample beetle three
rimes.
g. Fill syringe with sample water again (if necessary^ and re-attach Star hokJer with filter.
h FIJI sample bottle to bottom of neck. Multiple syringe volumes may contribute to a
single sample bottle,
i. Repeat steps
-------
sampling location, pnor to collection of the sample. Sample bottles, syringe, and filters are then rinsed
and fiJIed from the water collected in the bucket followuig the procedures described above
For water samples collected from a specific depth in the water column, a Niskin Sampler is used. A
metered line is attuned to the Niskin sampler and, while open, the sampler is lowered to the
appropriate depth. The sampler is considered to be rinsed as it is lowered through the water column.
Once at the desired depth, a weighted messenger is sent down the fine to activate the dosing of the
simpler, Water in the sampler is extracted from a sample port at the bottom of the sampler. Water
collected from one cast of the sampler must be used to rinse and 5U all sample bottles and syringes.
2.4 Soil/SedimentTissue Sample Collection
The collection of soil/sediment/tissue samples are not commonly done, but are project specific. For
collection of these samples, they are stored in a cooler with ice while in the field, and upon return to the
laboratory they are stored in a freezer.
2.41 Surface Soil Samples
Surface soil samples are collected from the upper 10 cm of an undisturbed location. Surface detritus is
removed prior to sample collecnon The surface soil samples are collected with at stainless sted trowel,
spade, PVC core, polycarbonate core or by hand and placed into plastic, wide-mouth specimen cups.
The physical parameters of the soil, including color, moisture content, presence of biota, and texture
are described in the field notebook, if required to satisfy the project objectives. The sample depth, date
and time of sample collection, and the amount of sample (or subsamples) collected are also recorded in
the field notebook. Roots may or may not be removed from the soil samples depending upon the
project objectives.
Soil samples are homogenized either in the field or in the laboratory,, depending upon the project
objectives. If homogenized in the field, the soil sample is placed into a polypropylene mixing tray and
homogenized by slicing, mixing, and remixing of the sample. The homogenized soil sample is then
placed into a wide-mouth specimen cup and stored in a cooler in the dark for transport to the
laboratory. In the laboratory, soil sample are homogenized by mixing the entire sample in a blender.
2.4.2 Subsurface Soil Samples
Subsurface soil samples are collected using father polycarbonate or PVC core tubes, pushed into the
sod or sediment by hand by twisting the tube in a circular dock-wise and then in a counterdock-wise
movement The depth of the soil surface on the outside and on the inskte of the ccwtoibeb measured
and recorded to determine compaction.
Once the core is extracted, plastic caps or neoprene rubber stoppers are inserted and taped to the end
of the tube to prevent slippage and spillage. The top direction of the core tube is marked on the tube
along with the sample number and the tube ii stored in an upright position during transport to the
laboratory. In the laboratory, the soil or sediment is extracted from the core tube and using a stainless
sted knife, a sample for analysis is collected from the center of the tube, away from the skies. The
physical characteristics of the soil are described in the field notebook, along with the approximate
-------
amount of sample (or subsample coUected),
In general, soil sample composting or splitting k the field is not preferred due to potential
contamination concerns; the collection of duplicate samples in the field by collecting soil from the same
sample source and homogerMzatoon of the samples in the laboratory with a Mender, is preferred. If
samples are to be homogenized in the field, then the samples wil] be extracted from the cote tube onto
a polypropylene tray and mixed with a stainless sted or Teflon spatula, The homogenized samples are
then placed into plastic, wide-mouth specimen cups and stored in a cooler in the dark for transport to
the laboratory
14J Sediment Sample CoOectioii
Sediment is collected using either polycartioiate or PVC core tubes or with an Ekman Dredge. The
sediment sample is removed from the tubes or dredge and placed in a polypropylene tray. A stainless
sted knife is used to collect a section of soil from near the center of the sample container. These
samples may be homogenized in the field by mixing with a spatula or homogenized in the laboratory
using a blender. Samples are stored in plastic wide-mouth specimen cups and stored in a cooler in the
dark for transport to the laboratory. The amount of sediment collected, ail eqppment used, the
method of homogenkation, and the amount of sample stored are documented in the field notebook.
2,4,4 Tissue Sample Collection
Plant tissue samples are coUected by gathering the plants by hand and placed into plastic bags. The
plant samples are kept in a cooler on ice until transported to the laboratory
15 Fidd Measurements
SERF typically measures temperature,, salinrty/conductivity, and dissolved oxygen at die surface and
bottom of the water column at each station For some projects, pH and light measurements ire
measured. All field measurements are taken contemporaneously with the sample collection to ensure'
direct correlation of laboratory results with field measurements. The water depth is determined from
either a depth finder on the boat or from a weighted, non-stretch line that is marked, in 10 cm
increments. The calibration of aD field instruments needs to be checked it the beginning of each day.
after every four hours of operation, and at die end of each day. Instrument performance at each
calibration check needs to be recorded on the field instrument calibration sheet (see attached). AH
instruments need to be fuUy charged overnight prior to their use in the fidd
A new ReM Dati Sheet has been prepared (see attached). This sheet rnust be copied onto bond-water
resistent paper and put onto t clipboard to take to die field The sheets may be filled out in pencil;
however, errors are not allowed to be erased. If an error is made, corrections must be made by
drawng a single line through the error and entering the corrected information next to the error, then
initialling-
L5.I Field Instrument Corrective Actions
-------
A primary and backup meter and probe for each field instrument are brought on every sampling event
If both the primary and backup field mstnjments fail during the trip, then the sampling event should be
discontinued until proper functioning equipment can be obtained SaJWty measurements are an
exception to this ruJe If the S/GT meter is not functioning properly, the D.O, meter can suit be used
in the following manner. Adjust the D.O. meter to a saUnity of zero Record the temperature and 0,0.
for each station on the Fidd Data Sheet, noting which stations the D.O. was measured using a salinity
of zero. Note the maJJunetiofi of the S/C/T meter on the instrument calibration sheet. Back at die
laboratory, use a functioning salinity meter and probe and record the salinity of sample remaining in the
totaJ nutrient bottle on the field instalment sheet The D.O, of each sample will then be corrected for
the appropriate salinity,
25.2 Sftiinity/Conductiviry/TempeiTiturT
Salinity and/or conductance is checked daily with a solution of known salinity or conductance, while
temperature is checked daly against an MIST thermometer. The S/OT meter probe and the NIST
thermometer is inserted into 50 - 100 mL of the salinity or conductance standard. A salinity reading
within 5% of the standard value, and a temperature within 0.1 degrees are considered acceptable. If
Sargasso Seawater is used as the salinity standard, a value of 36,1 should be obtained, but values
between 34,3 and 37.9 ppt are considered acceptable. Values outside these acceptance criteria will
requires the unit to be factory calibrated and the QA Officer or Dr. Ron Jones needs to be notified
Surface temperature and salinity/conductivity is measured by submersing die probe of the
saUn^/amducMvity/tcsnperature (SCT) meter 10 cm under water. After the digital readout stanfees
{less than 5 minutes), temperature is recorded in "C and salinity is recorded in parts per thousand (ppt).
Conductivity is recorded in units of pnthos/cm. The probe is then lowered to 10 cm from the bottom
of the water column After the digital readout stabilizes, the bottom parameters are recorded in the
field notebook. Rinse the probe with DIW between stations, and shut the insmiment off
2JL3 Dissolved Oxygen
The probe of the Orion model 840 Dissolved Oxygen meter is continuously polarized when attached to
the meter, if it has been disconnected for over 1 hr, it requires 50 rain to repolarize. No readings or
calibration should be attempted within 50 min of connecting the probe. The calibration procedure is as
follows:
1. Saturate the sponge in the calibration sleeve with detanked water and wait 50 rrun for
ecjuilibratiort
2. Switch the meter on.
3. Depress and hold the Mode Key Pad until the display cursor is at Cal.
4. Depress quickly and rdea.se the Mode Key Pad The display will show three dashes j>
-) and tine slope of the dectrode/membrane system A slope reading between 0,7 and
1.2 is considered acceptable.
If calibration can not be property obtained, take the probe out of the sleeve and look at the membrane
on the bottom Check that there are no air bubbles and that the silver ring is silver color and the gold
-------
cathode is gold in color If air bubbles are present, remove the cap at the bottom of the probe, fill the
cap wh new dectfoJyte solution and replace maJcing sure ttwc are cio air littles. If the membrane is
damaged or loose, replace the entire membrane cap. If me aJver ring aixi/or gold cathode is tarnished,
scape them carefully with a small glass fiber brush, Soak for rwo hours in cleaning solution, then for
[wo more hours in distilled water. Any time that the membrane cap is removed font the electrode, a
minimum of 50 min is required for the instrument to repolarize prior to use,
To take D.O readings in the field:
I. Remove the sleeve from the probe Be sure not to drop the sleeve in the water.
2. Submerse the probe 10 on beneath the water surface,
3. Use the Mode Key Pad to select the Cal mode,
4, Adjust the salinity display with the up and down arrow keys to match the previously-
measured station salinity.
5. Use the Mode Key Pad to select readings in mg/1.
6, Gentry stir the probe until a constant reading is obtained
7. The probe should be rinsed with DIW between each station, and the instrument can be
turned off between stations,
L5.4 Light Measurements
Light measurements are made utilizing two-4O sensors mounted on a PVC pipe and attached by cables
to a meter The distance between the sensors can be adjusted to 0.5 m or 1.0 m. The 1.0 m distance is
prderedif the depth allows CalibraOon of the instrument shoutld be as follows:
I. Plug the cables from the sensors into the meter (LI-1000). Check that 'the numbered
tags on the cables match the channels of the meter, and that the Sensor probe tf
matches the # on the meter.
2, Turn the meter on, and wait foe the display Hit the Chararf button. It should read MA
for math, if not, continue pressing the Channel button until MA is displayed, The
number following MA, ending in the letters PC, is the ratio of light at the bottom
sensor to the top sensor. Tr^ is the number thit you will be recording
3. Check the c^libniton of the instmn^
vertical position over a non-reflective surface such as still water, pavement or grass
(not a white boat bottom or concrete dock). Record the instrument calibration reading
on 'the instrument calibration check sheet
4, The calibration reading should be between 098 to 1 02 in air over a non-reflective
surface,
If the calibration is within this range, check thai the multiplier for each sensor is correct
1 Hit the CFG key once
2. Using the ENTER key scroll through the options for light-1 unti MULT- is obtained.
Enter the negative multiplier number for sensor I in water. The multiplier number
should be on the tag attached to each sensor.
3. Hit enter and scroll through the options for Ught=2 until MULT- is obtained, Enter
the multiplier number for sensor 2 in water.
-------
4 Hit the CHAN key until MA is displayed Cheek thai the catibranoit readira ts
between 0.98 and 1,02.
If ihe calibration is suM outside this range, instrument readings need to be made according to the
following procedures:
1. Ai each station, determine the depth with the sounding line, tf the depth is greater than
1 m, adjust the sensors lobe 1m apart Recoid this distance as lew the dati sheet,
2, Stand on the amny side of the boa. Be careful when advancing to a station, that
sediment is not srirred-up into the water column. If necessaiy, move the boat to a
sunny, undisturbed location,
3 Turn the instrument on. Hold the PVC pipe with the sensors in a vertical position te
ensure that the distance between the sensois is indeed Im (or &5n\ if neees&yy).
Submerge the sensors so that the top sensor is completely submerged. Be careful not
to hit the sediment bottom and stir-up mud, as this will invalidate the reading. Also
check that the bottom sensor is not covered with seagrass or algae.
4. If the instrument calibration was within the occepted range, then the ratio IA can be
read directly from the meter on the MA (math channel).
5. If the instrument b out of calibration, psadinp can not be made using the MA (math)
channel. Instead, the incidence of light needs to be recorded for each sensor
individually
6. Depress the channd button until IA appear* Record leading for the first channel on
the data sheet. Press the Channel button again until 2A appears, and record the reading
for the second channd. Minimize the time between recording the readings between the
channels,
7. Turn the instrument off between tradings,
L5J pH
An automatic temperature compensation (ATC) probe on the pH meter adjusts the pH reading for
temperature differences between stmduds and samples. The pH meter/probe is caibraied using a two-
point calibration as follows:
I, Choose pH G 01 mode
1 Rinse probes (pH combination and ATC) in DIW. Blot dry. Rinse with 2 mL of pH
7,00 bufe, temerse probes in pH 7.00 buffir,
1 Press CaJ button. The meter will display*!, "and the pH value of the buffer, the meter
automatically recognizes the pH of the buffer solution. When pH stabilizes, press
Enter, The display will freeze for 3 seconds, and then display "2,".
4 Rinse probes in DIW. Btot dry.. Rinse with 2 mL of pH 10.00 buffer. Immerse prates
in pH 10.00 buffer
5. Wait for pH display to stabilize, and press Biter. Display now wiU say "PH" and be
ready for sampk measurement
6. Rinse probe in DIW, placeprobe in pH 7.00 buffer, and cl«k that pH meter reading is
within 0.05 pH units.
-------
The response of the pH meter is checked with the pH 7 00 buffer after 4 hours of use and at the end of
each use. If the response is outside 0.05 pH units, the two^nt aiibraikKi is r^je^ed. If instrument
calibration can still not be achieved, then the instrument needs to be factory calibrated. pH is
detemuned at each station by collecting a sample of surface water in I dean, 400 mL polyethylene
beaker alia" it is rinsed three tunes with sample water. The pH probe and ATC probe are submersed in
the beaker, and the pH is recorded in the field note book. Successive aliquots of surface water are
collected until the pH of three successive aliquot agrees within 9,02 pH units.
15.6 SEA-BIRD CTD (Modd: SEACAT SBC IW)3)
Fidd measurements detemuned with the CTD include temperature, salinity, dissolved oxygen,
photosynthettc active radiation, turbidity, and depth. These measurements will be made using the
SEA-BIRD CTD in profile mode. At the beginning of every day prior to going out in the boat, set up
the CTD according to die following procedures:
I Plug the computer cable into the CTD by removing the niber waterproof cap fest (do
not lose this) and lining up the fat prong with the fitt hole.
2. Plug the other end of the computer cable into the back of the computer
3 The CTD should be turned off! Check thas.
4. Turn on the computer. After the C:\ prompt type cdteasoft. Once in the seasoft
directory type TERM 19 Any tone that you ever want the SEA-BIRD to talk to the
computer, you lave to be in the TERM 19 program.
5. Once in TERM 19, type DtS. This cA^clcs the sams of the instrument Check that the
instrument is in die PROFILE mode. K" not, then type MP. Check that the pump delay
is on 45 seconds. If not, type SP and set minimum conductivity to 2500 and pump
delay at 45 seconds. Check that the time and date are correct If not, type ST and set
the current date and time,
6. Check that the battery charge is 7.0 volts or greater. If less than 7.0 votes then the
batteries need to be changed Six D cdl batteries ate needed. Read the instrument
manual on how to change the batteries,
7. Once you are comfortable with the irismjment «tingSi and ttefe is no data in the CTD
that you want to save, press IL to initialize logging. The instrument will ask if you are
sum Initialize logging will erase aO of the stored data ia the instrument's memory, so
do not initiilzeloHpng if there is data you siffl want to retrieve. If you are sure you
want to initialize logging, type Y, then control Y.
§, Type QS for quiescence mode. This is an important step. Without this step the CTD
will not record data. If you do not want to erase the data in die €10 memory,, but just
continue saving casts, then do not do the initialize logging step, just go into the
quiescence mode.
9. Once mQS mode, quit TERM 19.
To take measurements in the field you have two options, You can allow the CTD to record data
internally, and/or you can see the real time data by taking the computer out on the boat with you. If
you don't have the computer, then be sure that the computer cable cap Is secured in place prior to
lowering the instrument in the water. Simply tuning the magnetic switch on and off will make the
-------
instrument record each cast separately. The data can then be downloaded at the end of the day. If you
have the computer on board, then cornea the long computer able to the CTD and computer and
proceed as follows:
10. At the C:\scasoft prompt type Seasave.
II, Hit Acquire Real Time Data
i 2, Check that the data is saved to the appropriate directory
13, Hit FtO to acquire real time data.
14. Fill in header information, then hit escape to quit.
] 5. The computer screen should read "Ready to turn CTD on".
To mike a cast be sure to do the following;
[ Confirm the instrument is property secured with a fine For deep stations, you may
want to have the end of the line tied to the boat Do not use the computer cable as the
support line for the CTD.
2. Remove the protective tubing from the conductivity cell, and don't lose this. Mug Ac
tubing connecting the DO probe to the conductivity ceil.
3 Turn the instrument ON by flipping the magietic switch on the skte of the uistnunent.
4 Lower the instrument to just below the surface of the water (appro*. 0.5m). Keep the
instrument there until all of tl« bubbles have escaped the instrument, This allows the
instrument to equilibrate with the water temperature as well as compensates for the 45
sec pump deity.
5. After 45 sec, lower the instrument to the bottom of the station, then retrieve. The
optimum speed of lowering is Im per second, however, the pump on the instrument
helps to compensate for differences in lowering speed.
6. Once the instrument is on the boat, turn it OFF.
7, Follow steps 10 through 15 above to set up the computer for the ne^
At the end of each day, the data must be downloaded from the instrument to the computer.
I. Rinse the entire instrument with fiesh water. Rinse the conductivity cell weU with
deioruzcd water Put fresh D1W in the conductivity eefl tubing and replace.
2. Phig the computer cable into the SEA-BIRD CTD and irtooie bade of the computer.
3, Type CPSEASQfT, then TERM19.
3. Type OS again to cheek the status of the instrument This in an important step to
establish the connection between the coinpiitaraalth«iiKiiument
4. Type DHL The SEA-BIRD wtU then begin to ro^ through each C3^ stanmg with m
5. Press the F9 Key to upload the data. Each cast will be saved separately under a
common name. Only six characters are allowed for a fie name and the program
automatically attaches two characters to the end of the name, therefore, you must limit
you file names to four characters. Each east wul be saved in sequential order such as
XXXXQO; XXXXD1, XXXXQ2, etc. For each cast, header information will be
requested such as cast number, lat, tang, notes, etc. Fill out this infiMTnation for each
cast.
-------
6. Once all of the data is uploaded, backup up tile data on i disk.
-------
3.0 Laboratory Procedures
11 Dl W and Glassware Cleaning
Two types of anaiyte-free water are produced in the laboratory: daorazed-
-------
above. The nitme concentranon before reduction is subtracted front the nitrite concentration after
reduction to give nitrate concentration. Soluble reactive phosphate is determined by reacting
phosphate with molybdenum (IV) and antimony (HI) in an acid medium to form a phosphoantmioTOl-
mdybdenum complex; this complex is reduced with ascorbic acid to form a colored dye.
32.2 Autoanalyzer Reagents
Ail reagents are made with the high reagent-grade chemicals dissolved in double-deiomzed water.
Blank and wash water: The salinity of the blank water and the samples effect the shape of the peaks
from the autoanalyzer, therefore we match the salinity of the blank and wash water to the salinity of the
samples. Samples with salinities of IS ppt or less are fun with nutrient-free DIW, Samples with
saiimites prater than 15 ppt are run with nutrient-free seawater acidified with sulfuric acid
(25%L/IOOOmL). The nutrient-free seawater is obtained torn the Sargasso Sea and stored in carboys
fitted with ammonia traps. Blank and wash water are pumped directly from these carboys to the
autoaraiyzer.
Ammonhiin reagents: Four separate reagents are required by the autoai^yaer for ammoifflurn analysk
compJexing reagent, alkaline phenol, hypochlorite and, nitroferricyanide.
Ccmptecing reagent 25g sodium citrate is dissolved in 500 mL of DIW 05 mL of 10 N
sodium hydroxide is then added.
Alkaline phenol: 5 mL of 10 N sodium hydroxide and 10 mL 20% phenol in ethanot are added
to 100 mL of DIW. Store this reagent in an amber bottle where it is stable at room
temperature for a month.
Hypochlorite. 10 mL fresh hypochlonte is added to 100 mL DIW This reagent is not stable
aril must be made daily
Nitroferricyarude: 0 25g sodium ratrofemcyanide is dissolved in 500 mL DIW. Store in an
ante" bottle where it is stable at room temperature for a month.
Nitrite reagents: Two reagents are required for nitnte analysis: sulfanilamide and N-l-
naphthylethylenediamine.
Siifanilamide: Cautiously add EOO mL cone hydrochloric acid to 700 mL of DIW. Dissolve
10 g suifanilamide. Dilute to 1 L total volume. Store the solution at room temperature or the
refrigerator.
(NED): Dissolve I g of NED in 1000 mL DIW. Store the
solution in a dark bonk in the refrigerator.
Nitrate reagents: Nitrate determination requires the reagents bed above for nitnte, plus an inidazole
buffer and cupncsulfate.
-------
• Imidazole buffer 681 g irmdazole is dissolved in I L DfW. The pH of this solution is
adjusted to 7 5 by the addjtion of hydrochloric acid, Store in a tightly sealed bottle at room
temperature
Cypric sulfate: 0.3125 g of euprie sufrate is dissolved in 125 mL DIW. This solution can be
stored indefinitely at room temperature.
Solute reactjyejhpjnjhatc.n?aienjg: This requires four reagents* three of which are mixed just prior to
the analysts to make a working reagent. The components of the mixed reagent are antimony potassium
tartraie, ammonium molybdate, and sulfuric acid. The fourth reagent is ascorbic aad
Antimony potassium tartrate: 0 75g antimony potassium tartraie is dissolved in 250 mL DIW
Ammonium molybdate: 6,667g ammonium molybdate is dissolved in 500 mL DIW. Do not
refrigerate.
SuJfunc acid solution: 140 mL cone, suJfuric acid is added to 900 mL DIW
Ascorbic acid: 6 Og ascorbic acid is dissolved in 200 mL acetone and 200 mL DIW
^ Working mixed reagent: Combine 50 mL sulfunc acid solution, 5 mL antimony potassium
P tartraie solution, and 45 mL ammonium molybdate,
3.L3 Au toanalyzer Standards
Pnmary standards are made by dissolving anhydrous salts of the anaryte of interest in D[W, and
preserving the standard solutions with chloroform. All primary standards iraist be made using grade A
flasks and stored in the glass bottles marked for these standards, Al primary standards must be made
up cm at least a quarterly bask Once made, the standard bottles need to be dated and initialed Prior
to discarding the old standards, both the new and old standards should be run on the RFA. The new
standards should be within 5% of the old values. Once this is confirmed, then the old standards can be
discarded.
A combined mixed standard is made by combining the primary standards of' nitrate, ammonium, and
phosphate in one solution. We are having a hard time maintaining the concentration of nitrite in the
mixed standard, therefore, the tittite primary standard b
a ratio of 4 mL of the mixed standard with I mL of the nitrite primary standard- This new mixed
standard is then diluted to give working standards that bracket the range of most of the samples,
Samples that are more concentrated than the highest standards are diluted.
Ammonium Primary Standard: Dissolve 0 33035 g ammonium sulfate in 1000 mL DPW Add
•t 2 mL chloroform Final concentration: S.O ujnoles/mL-
Nitrite Primary Stmdaaj- Dissolve 0,0690 g sodium nitrite in 1000 mL DIW. Add 2 mL
-------
chJorofom. final concentration: LO jirnoJes/mL
Nitrgte, .Primary Standard: Dissolve 1,020 g potassium nitrate in 1 000 mL D1W. Add 2 mL
chloroform. Final concentration: 10.0
Dissolve 0, 1360 gpotassmmdihydrogen phosphate En IQCWmL
DIW, Add 2 mL chloroform. Ftnal concentration; 1.0 nmoJ«a/mL,
Mixed Standard: Combine 25 rnL ammonium primaiy standarf, 10 mL nitrate primary
standard, 25 mL phosphate primaiy standard and 20 mL DfW.
Working Standards: Mm 4 mL of the mixed standard with I mL of the nitrite primary
standard. Then dilute this new mixed standard according to Table 2 to prodjce the wwkina
standards s
.Efficiency Standard: Mix' SO |iL of the nitrate primary standard in 100 mL of DIW,
Tafatt L Working standards for fnorganic nutrient detenmnation on the Alptern RFA 300
ajtomaJyzo-. Mixed standard volume refers to the amount of mixed standard tdded to 100 mL
num«t-ftee srawata (seawater sample) or DIW (ftrahwater samples). SRF is soluble reactive
phosphate N+N is nitrate (NO.O + nitrite (NQt>
Volume
Woiting Mixed
Working Standard Concentration (pmoles/L)
Standard
BLANK
SI
S2
S3
S4
S5
Standard
0
100
200
400
600
goo
SRP
0
0.25
0.50
LOO
1.50
2,00
NH*'
0
1.25
2.50
5,00
7.50
10.00
NQi"
0
0.20
0.40
OJO
1.20
L60
N(V
o ~~
1,00
2.00
4.00
6.00
8.00
N+N
•"**•' • ._
0
UQ
2.40
4,80
720
9.60
-------
3-2.4 Autoanaryzcr Calibration
Prior to starting a run on the autoanaiyzer, the injection needle is placed into the SS standard and allowed to
run through the instrument. The percent fldl scab of the high standard cm each channel is recorded and
compared to the previous day's run. The percent full scale should not change greater than 5% on a daily basis,
Changes greater than 5% may indicate that either the standards were not prepared correctly, or that the
instrument is in need of an overhaul.
Each run of the autoanalyzer begins with the auming of a SYNC cup then a wash water blank, A complete set
of blinks and the 5 working standards described in Table 5,2 are then run. Following the standard curve is a
carryover (which is the low standard SI), then an SI cup is run again. A check cal (S3) and an efficiency cup
follow. Additionally, a blank sample and an S4 are run every 10 analyses in an autoanalyzer run to monitor
basdne and intra-run calibration drift. At the end of the run, an S5 cup is run again. Any drift in the sensitivity
of the autoanalyzer during the run is detected by this drift check, and corrections are made to account for any
drift. A log book is kept to monitor the calibration curve parameters. Substantial changes in the curves
indicate the need for either preventative maintenance on the autoanaiyzer or re-making of the standards.
1.2*5 AutoansJyrer Prevrntalive Maintenance
After every run of the autoanalyzer, the inside of the tubing is washed with a ID min flow of detergent (Kem-
Wash), followed by a 10 min Row of 10% (v/v) hydrochloric add, followed by a 10 man flow of DIW The
system is then pumped dry, The peristaltic pump rollers are cleaned using ethanol-dipped cotton swabs. All
spills are immediately cleaned up. Any worn tubing is replaced immediately An hour meter attached to the
instrument keeps track of the use time, after every 200 hr of use, the instrument receives a thorough overhaul.
For each overhaul, ail tubing is changed, the pump rollers are reconditioned, and the filters are inspected and
changed if necessary.
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33 Total Phosphorus
For the determination of total phosphorus in water, soil, sediment, and tissue samples, SERF does not use the
typical ammonium persuJfete digestion because of the explosive hazards and special handling requirements
associated with the use of this chemical Instead, SERF uses a modilealOT
described by SoJorzano and Sharp (1980. DelennitiatioH of total dissolved phosphorus and paniculate
pboyhonts in natural waters. Umnd. Oceanogr , 25(4), pp. 754-758 (see attached). Total phosphorus is
determined in water, soil, sediment, and tissue samples by oxidizing and hydralyang all of the phosphorus-'
containing compounds in a sample to soluble reactive phosphite, and determining the soluble reactive
phosphorus concentration by the same autoanah/zer method described above. SERF has a separate
autoanalyzer used for the analysts of total phosphorus,
13. 1 Total Phosphorus Sample Preparation
Sample preparation for total phosphorus determination is done as soon as possible. Water samples should be
prepared within 24 hours of sample collection, and are often prepared immediately upon return to the
laboratory.
3J.I.1 Water Samples
I . Prepare a tray with two or three E nil scintillation vials (without the aluminum-lined caps) per
sample bottle Add 100 uj of 0 1 7 N MgSQ« to each vial using the Eppendotf ptpet setting of
I. Fill out a Total Phosphorus Preparation Log Sheet wkh the placement and contents of the
vials on the tray.
2. Add 5 mL of water sample from each total bottle into each of the vials.
3, Place tray in an 80°C oven and evaporate to dryness (usually overnight)
4. Ash the samples at 5SO°C in a muffle furnace fir 3 hours and allow to cool overnight,
5. Hydrolyze each sample with the addition of 5 rnL of hydrocWorie add. The normality of the
add is dependent on die salinity of the sample according to the following table:
HQ..cqiieeiitratic»ii
0.0- 15 ppt 0.06 N
I6-35ppt OJ2N
36- 55 ppt 0.18N
56 - 80 ppt 0.24 N
6. Cap eadiswnpietif^iUy with pofytined caps, shake using t vorto«r, and put into an 8CfC oven
overnight. After renioving fhxn the oven, altow to cool and shake again.
J J. 1.2 Soils, Sediment ami Tissue Samples
I. Dry sample in an 80°C oven for 2 days, then grind.
2. Add 25 mg of sample into 10 mL glass scintillation vial (remove aluminum lined caps).
Prepare two vials per sample, Fffl out a Total Phosphorus Preparation Log Sheet with the
-------
placement and contents of the vials on the tray
3. Add 200 pi ofO. I7N MgSOi and I mL OiW to etch sample vial. Then dry and ash the sample
as described for water samples.
4. Place tray in an SQ*C oven and evaporate to dryncss (uaaJJy overraght).
5 Ash the samples at S50°C in a muffle fiirnace fbr 3 hows and allow to cool overnight.
6 Hydrolyzeeaeh sample with the addition of 1 0 mL of 0.24 N hydrochloric add
7, Cap each vial tightly with polylined caps and put tn 8G*C oven overnight
8. Cool and shake, allow to stand overnight.
9. Analyze at a 1 : 10 dilution (200 pi of sample with 1 800 |J DIW).
»
3.3.2 Total Phosphorus Reagents
The reagents used for total phosphorus are the same as those used for soluble reactive phosphorus presented in
Section 3.2.2.
333 Total Phosphorus Standards
The primary standard for total phosphorus is the same as that used for soluble reactive phosphate.
Pjmgjgte Pnmarv Standard: Dissolve 0. 1350 g potassium dUiydrogen phosphate in 1 000 mL DIW,
Add 2 rnL chloroform Final concentration: I 0
Tntal t> Secondary Standard for water samples: Put 20 jjjL of phosphate pommy standard into 10 mL
ofDfW
Working standards for water samples are prepared from the primary standard in DIW or Sargasso Seawiter
depending upon the salinity of the samples. For water samples with salinities of 15 ppt or less, standards are
prepared in DIW. Sargasso Seawater is used for water samples with salinities greater than 15 ppt The
workng standards are made to bracket the expected concenttitioiiofthesiriifilesasshow«niTable3. A log
books kept by the total phosphorus aitoanaryar, In the log book rword the slope and eonrfairon coefficient
of th* caliiration curve, the concentration of the high standard, the number of samples run, the water matrix
(fresitwmter or seawater) and the technician's name.
-------
Tifote J. Working standards for Total Phosphorus detairunatioii.
Woriung Sundard
Low Standard Curve
SI
S2
S3
54
SS
High Slandard Curve
SI
S2
S3
S*
S5
Standard Curve for Solid
Samples
SI
S2
S3
S4
53
Volume of Primary
Sundard in 100 nil of
DlWorScawaicr
10 t*i
»)J
100 pj
150 jd
200^
125^1
250^1
500^1
750 1*|
IQOOuJ
125 (J
250 ,J
500 ^
750 pJ
lOOO^J
PJwsphoros Standard
Conccniration (|iM)
010
OSO
LOO
t.50
106
1.25
2,50
5.00
750
10.00
3-i7^&
7.74 ps/g
15M p^/g
23,22 pgfg
30.97 )Hte
3.3.4 Total Phosphorus Automnmlyrer Preventive Msutenanct
The dewing and preventive maintenance schedule for the total phosphorus autoanalyzer is tht same as
for ite filtered nutrient aytoinalyzer.
-------
3,4 Total Nitrogen
An ANTEK Instruments, Inc. Model 7000N Nitrogen Analyzer is used to determine total nitrogen of 5 uJ
of a preserved water sample. The instalment is run according to the Instalfation/Operauon/Service
Manual provided by ANTEK Instruments, Inc., except that oxygen gas is used as a carrier gas instead oi
argon to promote complete recovery of the nitrogen in the water samples.
3.4.1 Total Nitrogen Sample Preparation
Water samples for total nitrogen should be processed within 24 hours of sample collection and is often
performed immediately upon return of the samples to the laboratory. Water sample preparation for total
nitrogen includes transferring t ,5 mL of water sample from the unaltered sample bottle to a small glass
vial. The sample is acidified with 10 uJ of 3 N HCt, using an Eppendorf pipet on a setting of 1. The glass
viais are sealed with a teflon-lined crimp cap, labelled, and stored in a refrigerator at 2"C until analyzed.
3.4.2 ToiaJ Nitrogen Reagents
ACS reagent-grade 3 N HQ is made by adding 125 mL of concentrated 12 N HO into a 500 mL flask
and diluting to the mark with DlW
3.4.3 Total Nitrogen Standard
A primary standard is made by dissolving 0 3612 g anhydrous potassium nitrate in 100 mL Dl W. This
standard has a concentration of 0.5 mgN/mJL. A working standard of 2.0 mgffl is nude by adding 400 \j.l
primary standard in 100 mL D1W. Vials of the 2.0 mg/1 standard are prepared identical to samples.
Specifically, 1.5 mL of this standard is placed into a glass autoanalyzer sample vial and acidified with 10
ul of 3 N HQ, Duplicate vials of this standard are run in triplicate prior to each run, after every 20
samples, and at 'the end of the run to check instrument calibration.
A one-point calibration curve is obtained for each instrument run by beginning the run with duplicate 2.0
mgN/1 standards. Zero total nitrogen has a signal of zero. Irrtra-run drift in the calibration curve is
monitored by insertion of a blank and a 2.0 mgN/1 standard after every 20 samples and at the end of each
run.
3,4.4 Total Nitrogen Preventive Maintenance
The maintenance schedule for the ANTEK instrument includes replacing the septa on the autosaxnpler
every SO samples, and replacing the column, septa every 40 samples. On a daily basis, the vacuum
pressure needs to be monitored and should be at 25 inches of mercury. The combustion column should
be changed as needed.
-------
3.5 Total Organic Carbon
Total organic carbon samples are analyzed by hot-platinum catalyst combustion of the non-purgeable
organic carbon in the sample to COt on a Shimadzu TOC-5000 Total Organic Carbon Analyzer,
3.5,1 Total Organic Carbon Sample Preparation
Sample preparation includes pipetting 4 mL from each unfiltered sample bottle into glass sample vials.
Glass sample vials are cleaned by soaking in DIW with RBS 35 Concentrate cleaning solution and
autodaving for IS minutes. The vials are rinsed three times with DIW then pyt upside-down in a test
tube rack in the drying oven until dry (usually overnight). In order to remove inorganic carbon while in
the automatic sampler, the samples are acidified and then purged for i minutes with COi-free air prior to
analysis.
3.5.2 Total Organic Carbon Reagent!
25%FhojphoricAcid. Add 500 mL of 85% phosphoric add to 1,500 mL of DIW. This reagent is put in
the reagent bottle in the instrument
3 N HydrogMpnc Acid. ACS reagent-grade 3 N HCI is made by adding 125 mL of concentrated 12 N
HO into a 500 mL flask and diluting to the mark with DIW. This reagent is used to acidify the samples
while in the autosampler
3.5 J Total Organic Carbon Standards
A primary standard is made by dissolving 2.125 g reagent-grade potassium hydrogen phthakte in 100 mL
zero-grade DIW. The concentration of this primary standard is 10,000 tngC/L. Working standards are
prepared of concentrations 0, 5, 10,20 and 50 mgC/L by adding 0, 20,40, SO and 200 uL of the primary
standard to 40 mL aliquots of zero-grade DIW. A standard curve, is run at the beginning of every sample
run. To monitor for infra-run drift, a blank and a Ugh 10 mg/1 standard is run in the middle and end of
each tun. Each run and the instrument's performance needs to be recorded in the instrument log book.
3.5.4 Total Orgaoic Carbon Prtventative Maintenance
The TOC instrument maintenance schedule includes checking the reagent level, the DIW level, and the
gas level on a daily basis. Replace the tubing and the needles on a daily basis and change the column
every 2000 samples. A detailed schedule of replacement parts and. regeneration of catalyst is contained in
the operator's manual for the instrument- This schedule should be followed.
-------
3.6 Slica
3,7 Chlorophytl-a
An extractive fluorometric technique is used to determine chlorophyll-a concentration. Acetone extracts
of suspended material collected on filters are excited with 435 run light, and the fluorescent emission of
light at 667 run is measyied using a Fluoro IV Spectrofluoroineter (Gilford Instruments, QberliiL, Ohio).
The amount of fluorescence is directly proportional to chlorophyll concentration as determined by a.
standard curve of chlorophyll prepared in 90% acetone solution.
3.7.1 Chlorophyll Sample Preparation
Samples are brought to the laboratory on the same clay of collection and stored in the dark in a freezer at
a temperature of * 15"C Samples should be kept in the freezer for a minimum of 48 hours to allow for
complete extraction of the suspended, material from the filters to the acetone. Analysis should be
performed within 7 days of sample collection.
3.7.2 Chlorophyll Reagents
WiAoetone. In a large 1000 mL cylinder add 900 mL of acetone and 100 mL of DIW. Store in a glass
1000 mL bottle and seal with a teflon lined cap,
3.7J Chlorophyll Standards
Put the contents of I vial of I ing/L chlorophyH-a standard from Sigma Chemical Co, (St. Louis, Mo)
into 200 mL of 90% acetone. Determine the exact concentration of this high standard on the
spectrophotofneter at a wavelength of 664 run and using the equation given in Section 1.6.5, Make 5 to
7 standards from the high standard in a range from 0 - 250 ug/L, All of these standards need to be in
90% acetone. Analyze these standards on the spectrofluorometer according to the following procedures:
a. Turn on spectrofluorometer and allow to warm up for at least one hour.
b. Set excitation to 435 nm and emission to 667 nm (Hit 2 ENTER, 435 ENTER, 667
RETURN*.
c. Place an empty, glass cuvette in slot 2 and hit calibration key.
d. After calibration, set high voltage to 700 (Hk 3,2 ENTER, 700 RETURN),
e. Set the response to 4 seconds (Fit 3.5 ENTER, 4 RETURN).
f. Place 90% acetone in a clean, glass cuvette in slot 2, check to see that it reads 00. If it
doesn't, hit the AUTO ZERO button. If it is still not zero, dean the glass cuvette to be
sure it is free of fingerprints.
g. Place another dean, glass cuvette in, slot 1 and check to see that it' reads zero. If It
doesn't, hit AUTO ZERO again or dean the cuvette.
h. Suction off the 90% acetone from slot I, Rinse the cuvette with acetone and suction off.
i. Run each of calibration standards as you vtoiAd a sample. Specifically, mix 750 uJL of
-------
each standard with 2250 jjjL of 90% acetone in the cuvette in Slot i, Rinse the cuvetti
with acetone between each standard
j. Determine the slope of the calibration curve of relative fluorescence to chlorophyl
concentration. Check that the linear correlation coefficient is 10. 95.
3.7.1 Chlorophyll Sample Analysis
a. Remove samples from the freezer.
b. Push the filters down to the bottom of the centrifuge vials with a spatula,
c. Place the vials in the centrifuge and spin for I - 3 minutes.
d Place 750 pj- of the acetone extract from the first vial into the fluorometer glass cuvette in
slot 1,
e. Add 2250 |iL of 90% acetone to the cuvette and mix twice with a disposable pipet
£ Close the hood of the instrument and allow the reading to equilibrate. Hit READ PRINT
to record relative fluorescence
g. Suction off the sample from the cuvette, rinse with acetone, suction again and repeal
procedures d-gfor each sample.
3,7.5 Chlorophyll Calculations
a Determine the chlorophyll concentration in the high standard spectrophotometricaUy using
the extinction coefficient of 8767 (L*gm-E*cm-l) folio wing equation by Jeffrey and
Humphrey (1975):
Chl-a(pg/L) = (absorbance/E7.67)*
b. Determine the chlorophyll concentration using the following equation:
Chl-a (pg/L) - R.F. * slope * (15 mL/0.75 niL) / L filtered
where, ELF, is the sample relative fluorescence; slope is the dope of the standard curve;
15 mL is the amount of acetone in the microcentrifuge used for extraction, 0 75 mL is the'
amount of the acetone extract removed from the vial and placed in the cuvette; and the L
Altered is the amount of water filtered in the field (e.g. 120 or 140 ml = 0 12 or 0. 14 L).
c. Calculate the mean chlorophyll concentration at each station from duplicate samples.
3.8 Alkaline Phosph»t«e Activity
The alkaline phosphatase activity (APA) assay measures the activity of alkaline phosphalase, an enzyme
used by bacteria to mineralize phosphate from organic compounds. The assay is performed by adding a
known concentration of an organic phosphate compound (methylfluorescein phosphate, or MFP) to an
unfiltered water sample. Alkaline phosphatase in the water sample cleaves 'the phosphate from the MFP,
leaving methylfluorescein (MF), a highly fluorescent compound. The concentration of MF at the end of
the assay is proportional to the APA of the sample,
-------
3.3.1 APA Simple Preparation
APA measurements are made within 12 to 24 h of sample collection. Duplicate 3 mL subsampies from
each sample bottle are pipetted into disposable plastic cuvettes, and 30 |iL of a MFP solution are added
to each
The fluorescence of these subsamples are immediately measured using a Gilford Fhioro IV
Spectrafluorameter (excitation » 430 nm, emission - 50? nm) and recorded. Samples are placed in an
incubator at 25 CC for 2 hr Fluorescence of all the samples is then measured again using the same
excitation and emission wavelengths. The amount of MF produced in 2 h is quantified by comparison to
a standard curve.
3.S.2 APA Reagents
MethylfluonacBin Phosphate jjojutjgn: 52.55 mg of anhydrous 3-o-melhyjfkorescetn phosphate
is dissolved in 100 mL of 100 mM Tris buffer, pH = 8.7, Concentration of this stock solution is 1
mM.
Trizma Buffer Dissolve 12.8 g of Trizma crystals, pH=SJ in I L ofDfW.
3.8.3 APA Standards and Calibration
A stock standard solution of methylfluorescetn is diluted to make working standards that bracket the
concentration of MF in the APA assays after 2 hr. Working standards are made up from standard stock
solution and the fluorescence of the working standards is measured each day that analyses are performed,
Methvlfluorcscein Standard Stock Solution: Dissolve 0.0346 g methylftuorcscein in 100 mL
methanol. Concentration of this standard stock solution is 1 mM This solution is kept in 1,8 mL
centrifuge vials in the freezer One vial is thawed each day prior to use..
yVgikiiig_Standards: 0, 3, 7.5, 15 and 30 pL of standard stock solution are diluted into 3.0 mL of
Trizma buffer, to give standards of 0, 1,2,5,5 and 10 uM methylfluorescein
1.8.4 APA Sample Analysis
a. Turn the machine on to warm up, preferably an hour.
b. Set the excitation and emission wavelengths (Hit 2 ENTER, 430 ENTER, 507 RETURN),
c. Set the response time to 4 seconds (Hit 3.5 ENTER, 4 RETURN).
d. Calibrate the machine wtth an existing cuvette in slot 2. Hit calibrate
e. After calibration, set high voltage to 425 (Hit 3.2 ENTER, 425 RETURN).
f. Put in blank (Trizma buffer) and see if it reads zero. If not, zero the instrument by hitting
AUTO BLANK,
g. Analyze each standard, 'pressing READ PRINT after each to record the relative
fluorescence.
-------
h. Prepare the samples by placing 3 mL of sample into each of two disposable plastic
cuvettes. Put 30 \&» of stock MFP into etch sample cuvette and mk with a disposable
pipet.
L tnsert each sample cuvette into slot I, dose the hood, and hit READ PRINT to record th*
relative fluroescence when the number stabilizes.
j. Place the sample cuvettes into an incubator at 25 CC for 2 hr, then repeat step i,
3.9 Turbidity
Turbidity is often determined for unaltered (total) samples immediately upon return to the laboratory. An
HF Scientific Inc. model ORT-tS C turbidimeter is used. This instrument is portable and can be taken
into the field for field determinations of turbidity. Turbidity needs to be done on the samples within 24
noun of samples collection. Therefore, if the samples can not be brought back to the lab within one day
of sample collection, then the turbidimeter needs to be taken out into the field.
3.9. i Turbidity Standards and Calibration
The instrument reads directly in Nephdornetric Turbidity Units (NTUs). Calibration is done quarterly
with a 3-point calibration by diluting a 4000 NTU stock Formazm solution. The following table
summarizes the preparation of the calibration solutions.
Tible 2. Turbidity Standards
Value Pipet into a 200 mL volumetric flask
198 NTU 9,9 mL of 4000 NTU stock. Add DIW to mark,
19 8 NTU 20 mL of the 19S NTU dilution made above. Add DIW to mark.
2.0 NTU 2.0 mL of the 198 NTU dilution made abom Add DIW to mark.
||
For proper calibration of the unit, access to the trimoots on the right side of the instrument needs to be
made. See Figure 2 in the instrument manual for location of the tnmoots. Proceed with the instrument
calibration as dictated in the instrument manual.
3,9.2 Turbidity Sample Analysis
Sampie readings are made according to the following procedures:
a. Turn the instrument range knob to a scale of 20,
-------
b. Pfaee the 0.02 NTU
an the instrument.
HC Ir£^?.•** "•!* -«• «*« rfftn mu is M«L
, fer ttts ««Pte « both rte ^0 rt 200
scales. Record this reading on turbidity datt sheet
f Turbidity m done on sample water ejected In die unffltered (total) bottle,
8 Rinse
hottte well,
Record tlte sample rieading on the 200 scute
for
-------
40 QA/QC Sample,
•*-' Equipment Blanks
These arc labdfed as Cl,
•-
*2 Mitrii Spike Samples CLabelted M§)
«
4
(hat
-------
»
of all stmpJcs sent
4-6
-------
40
Forms
Sheet
Fom,
31
-------
a) Field Instrument CaJi brat ion Form
Sampling Event
Date
Names
Comments
Instrument
Number
Probe J Time CaJibratioa Check
Number
32
-------
ata She, »9lul light
Fl«ld D*t* Sh««t
D«pth
H«th«r Condi tiTnT"
D.O.
Vol
33
-------
iia
-------
Data
Project
Sample nos,
Technician
f
ndard
Reading 1
Reading 2
33
-------
Reference
Jeflrej, S,W, and G.F. Humphry. 1975. New Spectrophotmnetric Equations for
Determining Chlorophylls a, b, ci and ca in Higher Plants, Algae and natural
Phytoplankton. Bioehem Physiol. Pfianzen (BPP)t 84 167, S. 191-194,
Sofonmo L. and 1H, Sharp. 1980. Determination of Tola! dissolved Phosphorus and
Paniculate Phosphorus in Natural Waters. 25(4). pp. 754-758.
Hashimoto, S., K. Fujiwara, and Keiichlro F. 1985. Relationship Between Alkaline Phosphatase
Activity and Orthopfiosphmte in the Present Tokyo Bay. EnviroiL Sci. Health, A20(7)t 711-809.
-------
Section 1
Date: 4/20/99
Page 1 of 1
COMPREHENSIVE QUALITY ASSURANCE PLAN
Mercury Laboratory
Prepared by and for:
Southeast Environmental Research Program
Florida International University
OE148
University Park
Miami, Florida 33199
(305) 348-3095
FAX: (305) 348-4096
Ronald D. Jones, Ph.D. Date
SERF Director and Professor
Ruth B. Justiniano Date
SERF Quality Assurance Officer
Sylvia S. Labie Date
FDEP QA Officer
1 -1
-------
Section 2
Date: 4/20/99
Page 1 of 4
TABLE OF CONTENTS
No. of Revision
Section Title Pages Date
1.0 Title Page 1 12/24/97
2.0 Table of Contents 4 4/20/99
3.0 Statement of Policy 1 03/06/95
4.0 Organization and Responsibility 2 4/20/99
4.1 Capabilities
4.2 Key Personnel
5.0 Quality Assurance Objectives (Precision, Accuracy, 3 4/20/99
and Method Detection Limits)
6.0 Sampling Procedures 12 4/20/99
6.1 Sampling Capabilities
6.2 Sampling Equipment and Cleaning Procedures
6.2.1 Sampling Equipment
6.2.2 Sampling Equipment Cleaning Procedures
6.3 Sample Containers and Cleaning Procedures
6.4 Sampling Protocols
6.4.1 Surface Water Sampling
6.4.2 Surface Soil Sample Collection
6.4.3 Subsurface Soil Sample Collection
6.4.4 Sediment Sample Collection
6.4.5 Pore Water Sample Collection
6.4.6 Fish Sample Collection
6.5 Sample Documentation and Identification
6.6 Sample Preservation, Holding Times and Sample Volume
6.7 Sample Dispatch
6.8 Reagent Storage and Waste Disposal
7.0 Sample Custody 7 4/20/99
7.1 Field Custody
7.2 Laboratory Custody
7.3 Electronic Data Records
2-1
-------
Section 2
Date: 4/20/99
Page 2 of 4
Revision
Section Title Pages Date
8.0 Analytical Procedures 4 4/20/99
8.1 Laboratory Operations
8.2 Laboratory Glassware Cleaning
8.3 Reagent and Chemical Storage
8.4 Waste Disposal
9.0 Calibration Procedures and Frequency 10 4/20/99
9.1 Instrument
9.2 Standard Receipt and Traceability
9.3 Standard Sources and Preparation
9.4 Instrument Calibration
10.0 Preventive Maintenance 2 4/20/99
10.1 Routine Maintenance
10.2 Maintenance Documentation
10.3 Contingency Plans
11.0 Quality Control Checks and Routines to Assess
Precision Accuracy and Calculation of MDLs 5 4/20/99
11.1 Field QC Checks
11.2 Laboratory QC Checks
11.3 Routine Method Used to Assess Precision
and Accuracy
11.4 Method Detection Limits
12.0 Data Reduction, Validation, and Reporting 3 4/20/99
12.1 Data Reduction
12.2 Data Validation
12.3 Data Reporting
12.4 Data Storage
13.0 Corrective Action 3 4/20/99
14.0 Performance and System Audits 6 4/20/99
14.1 Field Audits
14.2 Laboratory Audits
15.0 Quality Assurance Reports 1 03/06/95
2-2
-------
Section
APPENDIX A
APPENDIX B
Title
Method Validation for Part per Trillion (ppt)
Concentrations of Total Mercury
in Water, Solid, and Tissue Samples
Related Scientific Articles
13
50
Section 2
Date: 4/20/99
Page 3 of 4
Revision
Date
04/18/96
4/20/99
APPENDIX C
SERF Mercury Lab Standard Operating
Procedures
4/20/99
APPENDIX D
APPENDIX E
Examples of Instrument Printouts for Total
and Organic Mercury Determinations
Method Validation for Organomercury Compounds
in Water, Sediment, and Tissue Samples
LIST OF FIGURES
Figure Figure
No. Title
16
Page
No.
4/20/99
11/21/97
Revision
Date
4.1 SERF Mercury Laboratory
Organization Chart
6.1 Vacuum System for the Collection of Surface
Water Samples
7.1 Sample Chain of Custody
7.2 Mercury Sample Log Checklist
11/24/97
7.3 Instrument Log Book
7.4 Standard Prep Log
8.1 Hg Lab Decontamination Log Book
12.1 Final Data Report
14.1 Mercury Laboratory Field Audit Checklist
14.2 Mercury Lab oratory Audit Checkli st
4-2
6-5
7-2
7-6
7-7
8-3
12-3
14-2
14-4
7-5
4/20/99
06/26/97
11/24/97
11/24/97
11/24/97
11/24/97
4/20/99
03/06/95
03/06/95
Table
No.
LIST OF TABLES
Table
Title
Page
No.
Revision
Date
5.1
Quality Assurance Objectives
Field Measurements
2-3
5-1
4/20/99
-------
5.2 Quality Assurance Obj ectives
Laboratory Measurements
5.3 Sample Preparation Methods
6.1 SERF Sampling Capabilities
6.2 Field Sampling Equipment
6.3 Miscellaneous Sampling Equipment
6.4 Sample Containers, Sizes, Preservations and
Holding Times
8.1 Reagent and Chemical Storage
07/10/95
9.1 Field Instrument List
9.2 Laboratory Instrument List
9.3 Standard, Source, Preparation, and Storage
9.4 Instrument Calibration
10.1 Field Equipment Preventive Maintenance
10.2 Laboratory Equipment Preventive Maintenance
11.1 Quality Control Checks
13.1 Corrective Actions for the Laboratory
13.2 Correction Actions for the Field
5-2
5-3
6-2
6-3
6-4
6-7
9-2
9-2
9-3
9-7
10-1
13-2
13-3
8-4
10-2
11-2
Section 2
Date: 4/20/99
Page 4 of 4
4/20/99
4/20/99
4/20/99
4/20/99
06/26/97
4/20/99
06/26/97
4/20/99
4/20/99
4/20/99
03/06/95
4/20/99
4/20/99
4/20/99
03/06/95
2-4
-------
Section 3
Date: 03/06/95
Page 1 of 1
3.0 Statement of Policy
The Southeast Environmental Research Program (SERF) is made up of university research
professors and their staff from Florida International University (FIU). FIU is one of the nine State
University System (SUS) universities and all SERF personnel are employees of the State of Florida.
The goals of SERF are to advance scientific research, the understanding of biogeochemical
processes, and to publish results in high quality refereed scientific publications. Pertinent to these
goals, is the need to collect accurate, high quality, and reproducible data, which can only be
obtained through strict internal and external quality assurance practices. SERF is committed to
follow sound quality assurance/quality control (QA/QC) practices for the purposes of producing
verifiable quality data.
The professors associated with SERF have been involved in monitoring surface water quality in
Florida Bay, Biscayne Bay, the Everglades, other areas of South Florida, and the world's oceans for
over 15 years. The SERF mercury laboratory is currently the EPA contract laboratory for the
Ecological Risk Assessment of Mercury Contamination in the Everglades Ecosystem (R-EMAP
Project).
This Comprehensive Quality Assurance Plan (CompQAP) describes the sampling and analytical
methods used by SERF personnel for mercury. These procedures are used to ensure the integrity
and accuracy of field and laboratory data collection and analysis. The CompQAP has been
prepared in accordance with the Florida Department of Environmental Protection (FDEP)
guidelines. Project-specific objectives and sampling protocols will be described in more detail in
Quality Assurance Project Plans (QAPPs).
3-1
-------
Section 4
Date: 4/20/99
Page 1 of 2
4.0 Organization and Responsibility
4.1 Capabilities
The mercury research group at SERF conducts both field sampling and laboratory analysis of
mercury. SERF performs field sampling of surface water, pore water (water in soils and
sediments), soils, sediments, and animal (fish) tissue. Low level mercury concentrations (parts per
trillion) in water samples (surface water, pore water, and groundwater), solid samples (soils,
sediments), and tissue samples (fish) are determined in the laboratory.
4.2 Key Personnel
Dr. Ronald D. Jones is the director of the Southeast Environmental Research Program (SERF) at
Florida International University (Figure 4-1). As director, Dr. Jones supervises all laboratory and
field operations and personnel. He provides a final review of all data and documents produced.
Mr. Pete Lorenzo is the SERF laboratory manager. In this role, he is responsible for the proper
execution of the daily field and laboratory operations. He provides scheduling of field and
laboratory personnel, and is responsible for the collection, custody, storage, and analysis of all
samples.
Ms. Pura Rodriguez de la Vega is the SERF Data manager. She is responsible for checking all the
data produced in the lab according with QC criteria and for the preparation of the final data reports.
Ms. Ruth Justiniano is the SERF QA officer. She is responsible for preparing all QAPs, and
overseeing that the field and laboratory operations are performed according to the QAPs. She is
also responsible for a final check of all data produced with respect to QC criteria, initiating and
conducting audits, and preparing QA reports.
Mr. Julio Lopez is the chief mercury chemist. In this role, he is responsible for the proper execution
of laboratory operations. He is responsible for the custody, storage, and analysis of all samples.
Additional mercury laboratory technicians include Ms. Martha Bascoy and Frances de Jesus.
4-1
-------
Section 4
Date: 4/20/99
Page 2 of 2
Figure 4.1- SERF Mercury Laboratory Organization Chart
Dr. Ronald D. Jones
SERF Director
Pete Lorenzo
SERF Lab Manager
Chief Chemist
Pura Rodriguez de la Vega
Data Manager
Technicians:
Martha Bascoy
Frances de Jesus
Ruth Justiniano
QA/QC Officer
4-2
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Section 5
Date: 4/20/99
Page 1 of 3
5.0 Quality Assurance Objectives (Precision, Accuracy, and
Method Detection Limits)
Field determined parameters include temperature, conductivity, and pH of surface water and
porewater (Table 5.1). Mercury is determined in surface waters, pore waters, ground waters, soils,
sediments, and tissue (fish) samples. Dry weight is determined on soil/sediment samples, while wet
weight is determined on fish samples. Laboratory precision, accuracy, and method detection limits
(MDLs) for these parameters (Table 5.2) are determined using in-house, historically generated data.
Sample preparation methods for analysis of total mercury and organomercury compounds are listed
in Table 5.3. Details of the sample preparation methods are given in Appendices A, B, C, and E.
TABLE 5.1
Quality Assurance Objectives
Field Measurements
Method No.
EPA 170.1
EPA 120.1
EPA 150.1
SM 2520 (B)
Matrix
Surface Water, Pore Water
Surface Water, Pore Water
Surface Water, Pore Water
Surface Water,Pore Water
Parameter
Temperature
Conductivity
PH
Salinity
EPA = U.S. Environmental Protection Agency. Methods for Chemical Analysis of Water and
Wastes, Revised March 1983.
SM= Standard Methods for Examination of Water and Wastewater, 1989, 18th
Edition.
5-1
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Section 5
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Page 2 of 3
TABLE 5.2
Quality Assurance Objectives
Laboratory Measurements
Analyte
Inorganic
Mercury
Methyl & Ethyl
Mercury
Total Mercury
Methyl & Ethyl
Mercury
Total Mercury
Dry Weight
Wet Weight
Matrix
Water
Water
Water
Soils,
Sediments
Tissue
Soils,
Sediments
Tissue
Soil,
Sediments
Tissue
Analytical
Method
(d)
(e)
(d)
(f)
(d)
(d)
ASTM
D22 16-80
ASTM
D4638
Precision
(a)
< 20 %*
< 30 %**
< 20 %*
< 30 %**
< 30 %**
< 20 %**
< 20 %**
< 20 %**
< 20 %**
Cone.
Range (b)
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
L,M,H
Accuracy
(%R) (a)
90-110
75 - 125
80 - 120
N.A.
70-130
80 - 120
70-130
N.A.
N.A.
Cone.
Range (b)
L
H
L
N.A.
M
L
L
N.A.
N.A.
MDL (c)
(PPt)
0.3
0.02
0.3
0.02 ppb
0.02 ppb
4.3 ppb
3. 2 ppb
N.A.
N.A.
*: Relative Standard Deviation.
* *: Relative Percent Difference of Duplicates.
(a) Temporary QA targets for precision and accuracy (valid until enough in-house, historical data is
available).
(b) Concentration Range of the linear calibration used to determine precision and accuracy values.
Calibration range to 1000 ppt.
L = lower 20% of linear calibration range
M = from 20% to 80% of the linear calibration range
H = the upper 80% of the linear calibration range
(c) Method Detection Limits (MDLs) determined by EPA procedure described in 40 CFR Part 136,
Appendix B, revision 1.11.
(d) Inorganic and total mercury determined using a PSA Merlin Plus Fluorescence Detector. Method
validation package included in Appendix A.
5-2
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Section 5
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Page 3 of 3
(e) Organic mercury determined by capillary gas chromatography coupled with atomic fluorescence
detection as described by Cai et al. (1996).
Y. Cai., R. Jaffe, A. Alii, and R. Jones. 1996. Determination of organomercury compounds in aqueous
samples by capillary GC - atomic fluorescence spectrometry following solid-phase extraction.. Analytica
ChimicaActa 334(251-259)
(f) Organic mercury determined by capillary gas chromatography coupled with atomic fluorescence
detection as described by Cai et al (1997).
Y. Cai, G. Tang, R. Jaffe, and R. Jones. 1997. Evaluation of some isolation methods for
organomercury determination in soil and fish samples by capillary gas chromatography-atomic
spectrometry.
TABLE 5.3
Sample Preparation Methods
Description
Bromination
Preconcentrated with sulfhydryl
cotton fiber, eluted with KBr and
CuSO4, extracted with
dichloromethane
Sodium thiosulfate clean-up,
isolation with cupric chloride,
extraction with dichloromethane
Slurried, Acidification, Autoclave
Digestion
Slurried, Autoclave Digestion
Matrix
Water
Water
Sediment/Tissue
Sediment
Tissue
Sample Prep, for these Methods
Total Mercury
Methyl & Ethyl Mercury
Methyl & Ethyl Mercury
Total Mercury
Total Mercury
Jones, R.D., M.E. Jacob son, R. Jaffe, J. West-Thomas, C. Arfstrom, and A. Alii. 1995. Method
Development and Sample Processing of Water, Soil, and Tissue for the Analysis of Total and
Organic Mercury by Cold Vapor Atomic Fluorescence Spectrometry. Water, Air and Soil
Pollution. 80:1285-1294. (See Appendix B.)
5-3
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Section 6
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Page 1 of 12
6.0 Sampling Procedures
6.1 Sampling Capabilities
SERF performs sampling of surface water, pore water, soil and sediments and animal tissue (fish)
for determination of total, inorganic, and organic mercury (Table 6.1)
6.2 Sampling Equipment and Cleaning Procedures
6.2.1 Sampling Equipment
Preceding a trip to the field, the personnel responsible for collection of the samples are required to
ensure that everything is prepared for the expedition. This entails making sure that all sample
containers are clean, properly labeled, and stored in plastic bags for transport to the field. Table 6.2
lists the field sampling equipment used for each matrix, while Table 6.3 list the miscellaneous
sampling equipment.
Surface water samples are collected using a vacuum system. Surface water typically has extremely
low levels of total mercury (less than 10 ppt), and the incorporation of sediment within the sample
bottle may lead to misleadingly elevated levels of mercury. The vacuum system illustrated in
Figure 6.1 is designed to reduce the collection of sediment and other large particles in the water
samples. A 2L Teflon sample bottle is housed within a plastic vacuum chamber. A screen holder
is attached to the end of either a 1.5 or 3 ft-long Teflon sampling pole. The screen holder is
constructed of polyethylene and polysulfone and houses 105 |om Nytex netting. A vacuum pump is
used to create a vacuum within the chamber. All tubing and fittings associated with the system are
constructed of Teflon.
Pore water samples are collected using plastic syringes equipped with Teflon tubing. Soil and
sediment samples are collected using either polyethylene specimen cups, polycarbonate core tubes,
a Wildco Eggshell Core or and Eckman Dredge. Fish are collected using a dip net. All samples are
collected with the sampler wearing at least one pair of gloves.
6.2.2 Sampling Equipment Cleaning Procedures
The vacuum system is rinsed with sample water three times prior to sample collection by placing a
2L polyethylene bottle in the system and filling. The Nytex netting is replaced prior to each sample
collection. Additional cleaning measures attempted in the field, such as detergent washes or acid
rinsing is not conducted due to potential mercury contamination from these solutions. Surface
waters contain such low levels of mercury that the potential of mercury contamination of the
samples in the field is
6-1
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Section 6
Date: 4/20/99
Page 2 of 12
TABLE 6.1
SERF Sampling Capabilities
Parameter Group
Inorganic Mercury
Methyl & Ethyl Mercury
Total Mercury
Sample Source
Surface Water, Pore Water
Surface Water, Pore Water,
Tissue
Surface Water, Pore Water,
Tissue
Soils, Sediments,
Soils, Sediments,
6-2
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Section 6
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Page 3 of 12
TABLE 6.2
Field Sampling Equipment
Equipment
Water Samples
Vacuum
Apparatus
Syringe
Soils, Sediments
Specimen Cups
Core Tubes
Wildco Eggshell
Core
Eckman Dredge
Fish Tissue
Dip Net
Construction
Housing: Plastic
Tubing: Teflon
Screen Holder:
Polyethylene with
polysulfone
Screen: 105 |JVI
Nytex netting
120 ml plastic
(HDPP) with
Teflon tubing
Polyethylene
Polycarbonate
Stainless Steel
Stainless Steel
Nylon
Use
Collection
Purging,
Collection
Sample
Collection
Sample
Collection
Corer
Sample
Collection
Sample
Collection
Parameter
Groups
Total, inorganic,
and methyl &
ethyl mercury in
Surface Water
Total, inorganic,
and methyl &
ethyl mercury in
Pore Water
Total and methyl
& ethyl mercury
Total and methyl
& ethyl mercury
Total and methyl
& ethyl mercury
Total and methyl
& ethyl mercury
Total and methyl
& ethyl mercury
Restriction,
Precautions,
Notes
Wear 2 pairs of
gloves
Use new tubing
prior to each
sampling event
Wear single pair
of gloves
Wear single pair
of gloves
Wear single pair
of gloves
Wear single pair
of gloves
Wear single pair
of gloves
6-3
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Section 6
Date: 4/20/99
Page 4 of 12
TABLE 6.3
Miscellaneous Sampling Equipment
Surface Water Sampling Equipment
1. Labeled sample bottles
2. ZiplockBags
3. Sounding Line
Pore Water Sampling Equipment
1. Water Level Indicator
2. Ph meter
3. S/C/T meter
4. pH Buffers (7.00 and 10.00)
5. Conductivity check Standard
6. Plastic Beaker
7. Labeled Sample Bottles
Soil, Sediment & Sampling Equipment
1. Labeled Sample Containers
2. Measuring Rule
Tissue Sample Collection
1. Ziplockbags
Sample Preservation and Transportation Supplies
1. Ice
2. Coolers
3. Shipping labels and forms
Sample container labels
Sealing tape
Protective Clothing
1. Vinyl Gloves (inner gloves)
2. Shoulder length polyethylene gloves (outer gloves)
Documentation Supplies
1. Notebooks/logs/field sheets
2. Pens, Markers
3. Sample container labels
4. Custody transmittal forms
Reference Materials
1. COMPQAP/SOP
2. Site map
6-4
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Section 6
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Page 5 of 12
Figure 6.1
Vacuum System for the Collection of Surface Water Samples
Vacuum
Pump
Teflon
.Sampling
Pole
Plastic
Vacuum
Container
2L Teflon
Sample
Bottle
Screen
Holder
6-5
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Section 6
Date: 4/20/99
Page 6 of 12
high. The simple rinsing of the vacuum system with sample water three times prior to sample
collection has proved acceptable in measuring parts per trillion levels of mercury in surface water
samples collected as part of the USEPA Ecological Risk Assessment of Mercury Contamination in
the Everglades Ecosystem: R-EMAP Study (USEPA 1993).
The Eckman dredge and the core tubes used in soil and sediment sample collection are subject to
precleaning in the laboratory prior to transportation to a field site. All surfaces are washed
thoroughly with hot, tap water, using a brush to remove large or stubborn particles. Liquid lab
detergents are not used due to possible contamination with mercury. The equipment is then rinsed
with acid (0.5N HC1 and 0.05N HNCb), then with "mercury-free" water. The equipment is allowed
to air dry completely, then it is wrapped in plastic bags for storage and transportation to the field.
The Eckman dredge is cleaned in the field between samples by rinsing with the water overlying the
sediment to be collected. This is appropriate since surface water has significantly lower
concentrations of mercury then the sediment. Core tubes are not reused between samples, and
therefore, do not require additional cleaning in the field. The plastic syringes and Teflon tubing
used to collect pore water samples are rinsed three times with the pore water prior to sample
collection. Following sample collection, the plastic syringes and Teflon tubing is rinsed with acid
(0.5N HC1 and 0.05N HNCb), then with "mercury-free" water. The dip net is rinsed with the
surface water at each fish sampling station.
All field cleaning procedures are documented in the field note book. Any sampling equipment used
once in the field and not cleaned in the field are tagged with the sample location and cleaned under
controlled conditions in the laboratory. All field equipment is cleaned upon return to the laboratory
by rinsing with acid (0.5N HC1 and 0.05N HNOs), then with "mercury-free" water. The equipment
is allowed to air dry completely, then it is wrapped in plastic bags for storage and transportation to
the field. Any field equipment suspected of being contaminated and can not be cleaned is
discarded.
6.3 Sample Containers and Cleaning Procedures
Sample containers, preservation methods, and appropriate holding times for each matrix are listed
in Table 6.4. New Teflon sample bottles are etched with a unique number and decontaminated with
the method outlined below. Once cleaned, one bottle from the batch is filled with mercury-free
water (DIW) and analyzed as a quality control check for batch contamination.
Teflon sample bottles are cleaned and reused indefinitely. After old samples are discarded, the
bottles are rinsed three times with mercury-free DIW and filled with 1% HC1. After filling, 1 ml of
brominating agent is added for every 50 ml and the bottle
6-6
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Section 6
Date: 4/20/99
Page 7 of 12
TABLE 6.4
Sampling Containers, Sizes, Preservations and Holding Times
Sample Type/
Parameter
Water/ Total, Inorganic and
Methyl & Ethyl Mercury
Soils, Sediments/ Total and
Methyl & Ethyl Mercury
Tissue/ Total and Methyl &
Ethyl Mercury
Container/
Size
Teflon, 2-liter
Polyethylene
Specimen cups
Plastic Bags
Preservative
10 ml HClper 2
liters of sample
Frozen
Frozen
Holding Time
28 days in a Hg-free
room
Indefinitely, but
preferably within 28
days
Indefinitely, but
preferably within 28
days
6-7
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is shaken and stored in a mercury-free clean room until used. When ready to be used, 500 |ol of
hydroxylamine hydrochloride is added to each bottle to remove all of the free bromine. The bottle
is then shaken, emptied, and the bottle and cap are rinsed three times with mercury-free water. All
sample containers are placed in new plastic bags for transport to the field.
Mercury-free water is produced by filtering tap water through a Culligan system consisting of
activated charcoal and two mixed bed ion exchange cartridges. The filtered water is piped to a
mercury-free clean room, where it is passed through a Barnstead Mega-ohm B Pure system. This
system is fitted with two filters (Thermolyne: colloid/organic-D0835, and ultrapure-D0809) in line
with a 0.22 micron pleated particle filter. Mercury levels are not detectable in this water in both our
laboratory and in an independent laboratory analysis (<0.1 ppt). The only water used in the mercury
laboratory is this mercury-free water and it is used for blank preparation and final decontamination
rinse. Documentation is maintained within the laboratory demonstrating the reliability and "purity"
of the analyte free water from analysis of method reagent blanks. Mercury-free water containers are
cleaned by rinsing with 0.5N HC1 and 0.05N HNOs, then three times with the mercury-free water
prior to filling.
6.4 Sampling Protocols
For the determination of ultra-low levels of mercury (parts per trillion) clean sampling protocols
must be employed throughout the field sampling effort. The field methods described herein were
developed for the USEPA Ecological Risk Assessment of Mercury Contamination in the
Everglades Ecosystem: R-EMAP study (USEPA, 1993). These sampling protocols are described in
SERP's internal standard operation procedures (Appendix D). A copy of the SERF S.O.P. is carried
to the field during each sampling event.
For each sampling event, one of the field crew members is designated as the "clean person". This
person is responsible for all sample handling, including sample collection, securing the sample
container in a plastic bag, and placing the sample in the cooler. All samples are collected with the
sampler wearing vinyl gloves. For collecting water samples, the sampler dons shoulder length
polyethylene gloves over the vinyl gloves. All samples are secured in a plastic bag prior to placing
in the cooler. Water samples are most susceptible to mercury contamination, therefore, they are
enclosed in two plastic bags. All samples are stored in coolers for transport to the laboratory.
These coolers are used exclusively for low level mercury samples.
Specific sampling locations are chosen based on criteria described in the appropriate Quality
Assurance Project Plans. In general, surface water, sediment, and tissue samples are collected from
a boat, helicopter, or airboat. Airboat, van, and helicopter exhaust are a potential source of
mercury. To ensure collection of undisturbed and uncontaminated samples, the boat or airboat is
advanced toward a sampling station from the downstream direction, while the helicopter is
advanced toward a station from the downwind direction. Samples are collected from the bow of the
boat away from the engine. If wading or walking is possible, samples should be collected
approximately 10 meters upgradient from the boat, airboat, or helicopter. If surface water samples
and sediment and/or tissue samples are to be collected at one location, then the sequence for
sampling is surface water, sediment, then tissue samples. In areas of suspected high concentrations,
6-8
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samples are collected in order of suspected low concentration to higher concentration.
6.4.1 Surface Water Sampling
All surface water samples, whether from an ocean, bay, canal, or marsh are collected according to
the following protocols.
1. Advance to the sampling station from the downgradient direction.
2. The "clean person" will put on a pair of vinyl gloves, then a pair of
shoulder length polyethylene gloves and handle the vacuum system
sampling pole and sampling container. Other members of the
sampling team, wearing a pair of vinyl gloves, can provide assistance
with creating and releasing the vacuum in the vacuum chamber. The
"clean person" will also don a pair of waders if necessary.
3. Place a 2-liter plastic, rinse, bottle in the vacuum chamber.
Submerge the sampling pole and screen holder beneath the surface
of the water. Create a vacuum in the chamber and fill the bottle to
rinse the screen and tubing with the sample water. Release the
vacuum and discard the rinse water in the bottle downstream of the
sampling location.
4. Remove a 24iter Teflon bottle from its protective plastic bag,
remove the cap and place the bottle within the vacuum system.
5. Submerge the sampling pole and screen holder to a depth applicable
to the project objectives, create a vacuum within the chamber, and
fill the bottle.
6. Release the vacuum in the chamber and remove the bottle.
7. Tightly cap the bottle, and place in a ziplock bag and seal it. Place
the sample in a second bag and seal it. Place the double-bagged
sample in a cooler.
Duplicate water samples are collected by placing another 24iter Teflon bottle within the vacuum
chamber immediately following collection of the first sample. Split samples for inter4aboratory
comparison are made in the "clean-room" in the laboratory, where the first sample is preserved with
acid, then split into two equal sample volumes.
6.4.2 Surface Soil Sample Collection
1. Advance to the sampling station from the downwind direction.
2. The "clean person" will put on a pair of vinyl gloves and a pair of
shoulder length polyethylene gloves and handle the sample
container.
3. Remove a 4-ounce specimen cup from its protective plastic bag.
4. Remove surface detritus prior to sample collection.
5. Using a stainless steel trowel, spade or spatula collect a grab sample of
surface soil (upper 10 cm) and place into the 4-ounce specimen cup.
6-9
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6. Place the lid on the cup, label the cup, secure in a ziplock bag and
place in a cooler.
Duplicate surface soil samples are collected following the above procedures using the same
sampling equipment used to collect the first sample. Soil samples are homogenized either in the
field or in the laboratory, depending upon the project objectives. If homogenized in the field, the
soil sample is placed into a polypropylene mixing tray and homogenized by slicing, mixing, and
remixing of the sample. The homogenized soil sample is then placed into a wide-mouth specimen
cup and stored in a cooler in the dark for transport to the laboratory. In the laboratory, soil samples
are homogenized by mixing the entire sample in a blender.
6.4.3 Subsurface Soil Sample Collection
1. Advance to the sampling station from the downwind direction.
2. The "clean person" will put on a pair of vinyl gloves and a pair of
shoulder length polyethylene gloves and handle the sample
container.
3. Remove a plastic core tube from its protective plastic bag.
4. Push the core tube into the soil by hand while rotating the tube in a
circular motion.
5. Cap the top of the core tube with either a plastic or rubber stopper,
then extract the core tube.
6. Cap the bottom end of the core tube, label the core indicating the top
direction.
7. Seal the core in a plastic bag and place in a cooler.
A duplicate subsurface soil sample is collected according to the procedure described above
immediately following the collection of the first sample. Soil samples are homogenized either in
the field or in the laboratory, depending upon the project objectives. If homogenized in the field,
the soil sample is placed into a polypropylene mixing tray and homogenized by slicing, mixing, and
remixing of the sample. The homogenized soil sample is then placed into a wide-mouth specimen
cup and stored in a cooler in the dark for transport to the laboratory. In the laboratory, soil samples
are homogenized by mixing the entire sample in a blender.
6.4.4 Sediment Sample Collection
Sediment samples are collected either with polycarbonate core tubes or with an Ekman Dredge.
The Ekman Dredge is used during sample of quiescent waters such as impoundments or lakes,
while the core tubes are used in moving waters such as rivers or streams to minimize the loss of
fine particles. Samples collected with core tubes are collected following the procedures outlined in
Section 6.4.3. Sediment samples collected with an Ekman Dredge are collected according to the
following protocols.
1. Advance to the sampling station from the downgradient direction.
2. The "clean person" will put on a pair of vinyl gloves and a pair of
6-10
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Page 11 of 12
shoulder length polyethylene gloves and handle the sample
container.
3. Other members of the sampling team can assist in securing the line
of the dredge to the boat or helicopter.
4. Slowly lower the dredge through the water column to the bottom.
5. Close the dredge to collect the sediment, then pull up the dredge.
6. The "clean person" will use a stainless steel knife or spatula to
collect a section of the sediment from the center of the dredge and
place into a clean specimen cup.
7. Cap and label the specimen cup. Place the cup in a ziplock bag and
into a cooler.
A duplicate sediment sample is collected immediately following the collection of the first sample
using the same sampling equipment used to collect the first sample. Soil samples are homogenized
either in the field or in the laboratory, depending upon the project objectives. If homogenized in the
field, the soil sample is placed into a polypropylene mixing tray and homogenized by slicing,
mixing, and remixing of the sample. The homogenized soil sample is then placed into a wide-
mouth specimen cup and stored in a cooler in the dark for transport to the laboratory. In the
laboratory, soil samples are homogenized by mixing the entire sample in a blender.
6.4.5 Pore Water Sample Collection
SERF collects pore water from either temporary or permanently placed lysimeters. Prior to
sampling, the water level and bottom of the lysimeter are measured to determine the standing
volume of water. Using either a peristaltic pump or a syringe equipped with Teflon tubing, the
lysimeter is purged of three volumes of standing water or pumped dry. The volume of water
removed is recorded in the field note book. Temperature, specific conductance and pH are
monitored while purging. If the lysimeter does not produce enough water, then it is pumped dry
and sampled immediately following recovery. Since SERF does not sample hazardous water, the
purge water is allowed to drain on the ground away from the lysimeter. Pore water is collected in 2-
liter sample bottles (Table 6.4), after the bottle is rinsed three times with sample water. Duplicate
samples are collected immediately following the collection of the first sample using the same
sampling equipment and tubing. Split samples for interlaboratory comparison are prepared in the
laboratory "clean-room" where the first sample is preserved with acid, then split into two equal
volumes.
6.4.6 Fish Sample Collection
Fish are collected from a helicopter, boat, or airboat using a dip net. The fish are identified and
placed in ziplock bags. The bags containing the fish are labeled and stored in a cooler with ice.
6.5 Sample Documentation and Identification
All sample bottles or containers are pre-labeled in the laboratory prior to transport to the field site.
Labels consisting of colored tape are attached to the side of the bottle. Water-proof ink pens are
6-11
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Section 6
Date: 4/20/99
Page 12 of 12
used to mark the labels. The collection of all samples is recorded in the field notebook.
Documentation brought into the field include:
1. Equipment checklist
2. Field Notebook
3. SERF Internal S.O.P.
4. Field equipment manuals (if appropriate)
5. Chain of custody form
6.6 Sample Preservation, Holding Times, and Sample Volume
Sample containers, sizes, preservatives, and maximum holding times, by matrix are included in
Table 6.4. Samples are preserved in the field by putting in a cooler with ice for transport to the
laboratory. These coolers are used exclusively for low level mercury samples.
In the laboratory, the 24iter bottles with water sample are preserved with 10 ml of trace metal grade
HC1 to a pH less than 2. The HC1 is added to the water bottles in a "mercury-free" room.
Hydrochloric acid is preferred over nitric acid as it results in higher recoveries of mercury (Ahmed
et al. 1987). The pH of the water sample is checked by shaking the bottle and then pouring a small
amount of the sample onto a pH test strip. The water samples are stored in the "mercury-free" room
and analyzed within 28 days.
Acid addition is completed within the mercury-free room following collection of the samples,
because addition of acid to sample bottles has resulted in a measurable uptake of mercury from the
atmosphere. This uptake is measurable if the acid is added to the sample bottle either in the
laboratory prior to sample collection or in the field following sample collection. The addition of
HC1 to the sample bottles in a mercury-free "clean room" within the same day of sample collection
results in no measurable loss or addition of mercury. This method of preservation is considered
standard protocol by EPA Region IV in Athens, GA, EPA ORD-EMSL in Cincinnati and Battell
Marine Science Laboratory in Sequim, Washington (USEPA, 1993).
The fish and sediment samples are stored in a freezer in the mercury laboratory. These samples can
remain in the freezer for an indefinite time; however, SERF prefers to process the sediment and the
fish samples within 28 days of receipt.
6.7 Sample Dispatch
Samples are stored in coolers (on wet ice for sediment and tissue samples) and delivered to the
SERF laboratory by the field personnel on the same day of sample collection. Samples to be sent to
an out-side laboratory are shipped no later then one day following sample collection using a
common carrier and overnight delivery. These samples are placed in individual plastic, sealable
bags and packaged with bubble wrap or styrofoam. Non-insulated cardboard boxes are used for
shipment of water samples, while insulated coolers with ice are used for sediment and fish samples.
6-12
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Section 6
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6.8 Reagent Storage and Waste Disposal
Field reagents are not required for mercury sampling. Acid preservative is added to the water
samples in a "mercury-free" room within the laboratory. SERF does not perform sampling of
hazardous waste sites, and there is no generation of field wastes.
6-13
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Section 7
Date: 4/20/99
Page 1 of 7
7.0 Sample Custody
Sample custody is controlled by SERF, mainly since the employees responsible for sample
collection are also the same employees responsible for sample analysis. Should the need arise to
send samples via courier to another laboratory, then the sample chain-of-custody (Figure 7.1) and/or
one supplied by the contract laboratory will be used. This form will be included within the sample
cooler and protected within a plastic, sealable bag. A copy of the form will be retained by SERF in
project specific files. Upon receipt of the samples, the receiving laboratory will be requested to sign
the sample chain-of-custody form and send a copy of the signed form via mail or facsimile to
SERF. The QA officer will be in charge of ensuring that a copy of the signed chain-of-custody
form is obtained from the receiving laboratory.
Sample bottles sent by SERF to another laboratory are sent differently according to their matrix.
Water samples are sent sealed in individual plastic bags and then in a larger plastic bags. The
samples are packaged in cardboard boxes filled with packing material (peanuts) to prevent
breakage. Fish and sediment samples are shipped in coolers with ice. The lids and drain ports of
the coolers are secured with shipping tape to avoid opening. These samples are sent overnight
delivery, and all shipping receipts are kept and maintained in a central file location. Sample
personnel responsible for sample delivery are identified in the chain of custody form as well as
common carriers that might have been used in the process.
SERF also often receives samples (surface water, ground water, soils, sediments, and tissue)
collected by other researchers for analysis. A completed SERF chain-of-custody form will be
required to accompany the samples and will be signed by the QA officer or SERF technician
receiving the samples. These samples will be inspected by the SERF QA officer or SERF
technician for integrity and completeness according to the chain-of-custody form. Any
discrepancies between the samples received and the chain-of-custody form will be reported
immediately to the researcher that collected the samples. A copy of the chain-of-custody form will
be kept in the project specific files.
All sample bottles are pre-labeled in the laboratory prior to transport to the field site. Labels
consisting of colored tape are attached to the side of the bottle. Water-proof ink pens are used to
mark the labels. Since sample containers used for the suspended matter samples, sediment samples
and tissue samples are used only once, they are marked with water-proof ink pens directly on the
outside of the sample container.
Each sample container is labeled with a unique sample identification number as indicated below:
A AA### YYMMDDB.
7-1
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Section 7
Date: 4/20/99
Page 2 of 7
FIGURE 7.1 Sample Chain-of Custody
SOUTHEAST ENVIRONMENTAL RESEARCH PROGRAM
OE 148 (office)A/H 321 (lab), University Park, Miami, FL 33199, 305-348-3095
Chain of Custody Record/Sample Log - Mercury
Page of
CLIENT/PROJECT NAME: (ACCOUNT NO.: AUTHORIZATION:
DELIVERED BY:
RECEIPT
BOTTLE
ID
RECEIVED BY:
SAMPLE
ID
MATRIX *
COLLECTION
DATE TIME
#OF
REPLICATES
PRESERVATIVE
DATE AND TIME:
ICE IN COOLERS?:
ANALYSES
THG
OHG
AFDW
BULKD
TP
TN
TOC
SAMPLE COMMENTS
' Matrix: FW = fresh wate, SI/I/ = seawater, S = soil/sediment, P = particulates, T = tissue (fish)
'*: Analyses and methodsTHG (Total mercury, see CompQAP); OHG (Organic Mercury, see CompQAP); AFDW (Ash-Free Dry Weight, ASTM D2974-87); BULKD (Bulk Density, ASTM D4531-
TP (Total Phosphorus, EPA 365.1), TOC (Total Organic Carbon, EPA 415.1); TN (Total Nitrogen, Antek);
7-2
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Section 7
Date: 4/20/99
Page 3 of 7
The first letters in the sample identification number (AAA) refer to the program name. For
example, the three letters ECS would be used to designate the EPA Canal .Sampling program. The
first set of numbers (###) can vary from 1 to 999 and refers to the sample location number. The
date of collection follows in a year, month, day format. The second letter designation (B) refers to
the type of media collected and will be a W, S, or T to represent water, soil/sediment, or tissue,
respectively. The reusable water sample containers are etched with permanent numbers. These
numbers will be identifying the sample as an additional character after the W. An example of the
sample label is included below:
ECS101950115W34
Sample numbers are recorded on sample containers, in field notebook, and sample log list.
SERF often receives samples collected by other researchers. When this is the case, SERF uses the
unique sample numbers supplied by the other researcher.
7.1 Field Custody
Loose4eaf field notebooks are used for all field documentation. Once QA checked, the sheets are
removed from the notebooks and kept in project-specific files. All field notebook entries are made
in waterproof ink. If an error is made, corrections are made by drawing a single line through the
mistake and initialed by the person making the correction, entering the corrected information next
to the error.
General field notebook entries include the following: name and number of sampling trip; date of
sampling trip; general weather and water conditions (waves and tides); name of individuals in
sampling team; sample identification number; time of sample collection; a description of the
sampling location; and latitude and longitude as determined with a GPS unit, and sample
preservation method. Additional information includes sampling equipment used, decontamination
procedures used, types of QC samples collected, the use of fuel powered units if any, and the depth
that the samples were collected. For the collection of pore water samples, additional information
recorded in the field notebook includes the date and time of purging, the equipment used, the water
level in the lysimeter, the bottom depth of the lysimeter, the volume of water removed during
purging, and the specific conductance, temperature, and pH during purging. For soil and sediment
samples, additional information recorded in the field notebook include the depth of sample
collection, physical characteristics of the soil, and method of homogenization. For tissue samples,
identifying characteristics of the fish are included.
In addition to the field notebook, the field sampling team keeps a field instrument sheet. On this
sheet is recorded the number of each field instrument and probe, as well as instrument calibration
check information.
7.2 Laboratory Custody
Upon transport of the samples to the SERF laboratory at FIU, the Chief Chemist checks that the
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Section 7
Date: 4/20/99
Page 4 of 7
number and identity of the samples matches those on the field notebook (if sampled by FIU) and on
the chain-of-custody form. The samples and coolers are checked for presence of ice, odors and/or
contamination. In addition, the integrity of the samples is checked and any bottles found broken or
leaking are noted in the field notebook and chain-of-custody form. Samples are logged-in by the
Chief Chemist on the Mercury Sample Log List (Figure 7.2). The temperature of the samples are
checked. Sample bottles found broken, leaking, or not properly preserved are rejected from
analysis, and noted on the chain-of-custody form. The Mercury Sample Log List is kept into the
corresponding sample set folder and serves to track the samples collected from a sampling event
through sample storage, analysis, data validation, and sample disposition with dates and authorized
initials.
Samples will not be rejected based on incomplete documentation. Analysis will continue, but
efforts will be made to get the missing information. If there is still missing information by the time
the results are complete, it will be noted in the data report.
Samples are stored in the appropriate conditions, "mercury-free" room or freezer, in a locked room,
with access to the room limited to SERF employees. Standards are stored separately from all
samples. Sample preparation methods are described in the Standard Operating Procedures for the
laboratory (Appendix C). Primary and secondary standards for analysis of water samples are
prepared on a daily basis. The standard concentration and resulting peak height are recorded in the
instrument log book (Figure 7.3). Preparation of all standards (primary and secondary) are recorded
on a separate log (Figure 7.4).
Sample analysis is tracked through sample preparation sheets, instrument printouts, and analytical
calculation sheets. Examples of each of these sheets for each matrix (water, sediment, tissue) are
included in Appendix D. Sample analysis is also recorded on the instrument log book (Figure 7.3).
All laboratory documentation, Sample Log Lists, chain-of-custody forms, standard prep logs,
sample prep logs, instrument printouts, and calculation sheets are kept indefinitely by the Chief
Chemist in a locked cabinet. All internal memos, phone logs, and sample receipt/log-in forms are
saved as well.
7.3 Electronic Data Records
Data from field measurements and laboratory analyses are compiled and summarized in computer
spreadsheet format (Microsoft Excel). Separate spreadsheets for each sampling day are kept, and a
compilation of all data to date is made. Spreadsheets are stored both on the hard drive of the
computer, as well as onto write-protected floppy disks. In the event of computer equipment failure,
the data files on the floppy disks are used as backup. All spreadsheet calculations are checked by
the Chief Chemist or by the QA Officer on a calculator.
The access to these electronic records is password protected. A hard copy of the spreadsheets are
stored in the project files indefinitely.
All deletions or corrections will be documented on a hard copy of the spreadsheet and the person
making the corrections will initial any changes.
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Section 7
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Records of all aspects relating to changes, updates, problems and maintenance of the instrument
and database software will be maintained in the instrument logbooks.
FIGURE 7.2. Mercury Sample Log Checklist
Sample Checklist
Date Received:
Date Collected: _
Collected From (Area):
Lab Receipt Date:
Sample Type:
Description of Sample Containers
Analyses
Required
THg
OrgHg
TP
Bulk Density
Ash Free Dry Wt
NPOC
Turbidity
Freshwater
Seawater
Technician:
Received From:
Soil Particulates
Sediments
Number of Containers:
Type of Containers:
Containers Labelled as :
Tissue (Fish)
Date Required: Date Performed: Data Discarded:
Date / Data
Entry:
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Section 7
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Page 6 of 7
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Section 7
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Page 7 of 7
FIGURE 7.3. Instrument Log Book
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Section 7
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Page 8 of 7
FIGURE 7.4. Reagent and Standard Prep Log
7-
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Section 8
Date: 4/20/99
Page 1 of 4
8.0 Analytical Procedures
SERF determines total and inorganic mercury concentrations by Cold Vapor Atomic Fluorescent
Spectrometry (CVAFS). A PS Analytical (PSA) 10.025 Millennium Merlin is used to detect total
and inorganic mercury in water samples while a PS Analytical (PSA) Merlin Plus CVAFS mercury
analysis system equipped with a PSA autosampler, a PSA vapor generator, and a mercury
fluorescence detector Model PSA 10.023 is used for determination of total and inorganic mercury
in soil and sediment samples.
The method validation for part per trillion (ppt) concentrations of inorganic and total mercury in
water, solid, and tissue samples (April, 1996) is included in Appendix A. A detection limit of 0.3
parts per trillion (ppt) Hg in water samples is obtained at a precision of better than 5% relative
standard deviation and an accuracy between 90 and 110%. Higher levels of precision and accuracy
are obtained for sediment and tissue samples due to their inherent higher mercury concentrations.
Organomercury concentrations are determined by capillary gas chromatography coupled with
atomic fluorescence detection (GC-AFS) as described by Cai et al. (1996) and Cai et al (1997).
Chromatography is performed with a Hewlett-Packard (Model 5890 Series n) gas chromatograph
coupled with an HP (Model 7673) automatic sampler. A Merlin Mercury Fluorescence Detector
System (AFS), Model 10.023, (P.S. Analytical) is used. Initial extracts of sediment and tissue
samples are subjected to sodium thiosulfate clean-up and the organomercury species are isolated as
their chloride derivatives by cupric chloride and subsequent extraction into a small volume of
dichloromehtane. For water samples, the organomercury compounds are pre-concentrated using a
sulfhydryl cotton fiber adsorbent, followed by elution with Kbr and CuSCn and extraction in
dichloromethane. Detection limits of 0.02 ppt and 0.02 ppb are obtained for water and
sediment/tissue samples, respectively. The method validation for organomercury compounds in
water, sediment, and tissue samples (November, 1997) is also included in Appendix A.
See Appendix C for a detailed description of the currently used methods in the corresponding
Standard Operating Procedures.
8.1 Laboratory Operations
Mercury contamination at levels near the method detection limit is a consistent problem as water
samples easily absorb mercury from the air and improperly cleaned glassware. To minimize
contamination, all technicians are required to wear vinyl gloves. In addition, all glassware, acids,
reagents, pipettes etc. are kept dedicated to mercury analysis and stored in a mercury-free clean
room. The clean room contains a bank of laminar flow hoods equipped with gold and charcoal
filters. The floor is covered with flypaper to trap particulates. The clean room also contains a
separate water supply, a refrigeration unit, a drying oven, and an analytical balance used exclusively
for mercury determinations. Potential contamination in the clean room is checked weekly by
monitoring acidified (1% HC1) water samples, which are stored open inside the clean room. If
significant levels of mercury are detected in these samples (>20 ppt), then the source of the mercury
contamination is located and eliminated. If necessary, the gold and charcoal filters within the flow
hoods are reconditioned.
8-1
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Section 8
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Page 2 of 4
8.2 Laboratory Glassware Cleaning
Laboratory glassware is kept to a minimum, with Teflon bottles and beakers used when possible.
All reusable laboratory glass bottles, volumetric flasks, and graduated cylinders, and teflon beakers
are dedicated to the preparation and storage of a specific reagent, and are rinsed between usage with
acid (0.5N HC1 and 0.05N HNCb), three times with DIW, and stored in the mercury-free room.
The volumetric flask used for making the primary standard is dedicated for that standard and rinsed
only with the standard. Glassware or plastic containers that have come in contact with samples,
such as ampoules and scintillation vials are used once then discarded.
New containers are decontaminated. A log book kept in the Hg-clean lab (Figure 8.1) is used to
document new containers, dates of decontamination with initials of involved personnel. Results of
quality control tests are also documented in this log book.
8.3 Reagent and Chemical Storage
Reagents and chemicals used in the mercury laboratory include acids, dry chemicals, solvents, and
compressed gases (Table 8.2). All acids and dry chemicals are stored in the mercury-free clean
room. As each reagent or chemical is received it is dated and initialed by the person unpacking it.
When the container is opened for the first time it is dated again and initialed by the opener. While
being used in the laboratory, compressed gas cylinders are secured upright with straps or chains.
8.4 Waste Disposal
Wastes produced in the laboratory include liquid acids, solvents and salt mixtures. Many of these
reagents are spent during sample prep and analysis. Any remaining waste acids or salt mixtures are
neutralized or diluted, respectively, then washed down the sink to the sanitary sewer. According to
Bade County Code of Regulations Chapter 24-1 l(d), effluents containing 0.01 mg/1 or less of
mercury may be discharged to a sanitary sewer. The source standard with a concentration of 1 mg/1
Hg, is never emptied down the sink. This standard is used completely to make the primary
standard. The primary standard has a mercury concentration of 0.1 mg/1, and is diluted 1:10 before
discharged to the sink. Secondary standards have a high concentration of 0.0005 mg/1 and do not
need to be diluted before discharged to the sink. Empty reagent bottles are rinsed with hot tap water
and disposed in trash receptacles. Waste solvents, such as dichloromethane, are stored in a clearly
marked, capped, glass container within a fume hood. When the container is full it is picked up
from the laboratory by FIU's Environmental Health and Safety Department who in turn ensure that
the solvent waste is disposed of by an licensed and approved hazardous waste disposal facility.
8-2
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Section 8
Date: 4/20/99
Page 3 of 4
FIGURE 8.1 Hg Lab Decontamination Log Book
8-3
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Section 8
Date: 4/20/99
Page 4 of 4
TABLE 8.1
Reagent and Chemical Storage
Chemical
Laboratory Chemicals
Mineral Acids
Dry Chemicals
Solvents
Compressed Gases
Method of storage
Stored in original glass containers in the mercury-free room.
Stored in original containers in
Stored in original containers in
flammable.
the mercury-free room.
a locked cabinet marked
Secured upright in laboratory.
8-4
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Section 9
Date: 4/20/99
Page 1 of 10
9.0 Calibration Procedures and Frequency
9.1 Instrument
SERF determines total and inorganic mercury concentrations by Cold Vapor Atomic Fluorescent
Spectrometry (CVAFS) and organomercury concentrations by capillary gas chromatography
coupled with atomic fluorescence detection (GC-AFS). Instrument lists for both field and
laboratory are included in Tables 9.1 and 9.2, respectively.
9.2 Standard and Reagent Receipt and Traceability
Primary standards traceable to NIST reference standards are purchased from reliable scientific
supply firms. The manufacturer's certificates for each standard received are kept on file in a central
location. The standards and reagents are received by the Chief Chemist, inspected, dated, and
initialed directly on all chemical bottles. Once opened, the standard/reagent bottles are dated and
initialed again.
Primary and secondary standards are prepared daily by diluting the source and primary standards,
respectively, with mercury-free water. Records of the standard and reagent preparation ( including
calibration, QC, and MDL standards) are kept in the reagent and standard prep log book (Figure
7.4). Once prepared, the standard/reagent solutions are dated, initialed, marked with the
concentration, and referenced to the stock solutions with the date the stocks were opened. The
expiration date and storage instructions are recorded as well on the standard/reagent bottles. As no
new standard or reagent is prepared until the previous one has been either completely used or
expired and discarded, the logbook records link the preparation with every specific analysis.
9.3 Standard Sources and Preparation
The source, preparation, and storage of standards for each sample matrix are included on Table 9.3.
Standard preparation methods are available in the laboratory SOPs (Appendix C). The calibration
secondary standard for total and inorganic mercury is prepared on a daily basis from a primary
NBS certified mercury source standard of 1000 |ig Hg/ml (Fisher Scientific) and the second source
secondary standard is prepared from a primary SPEX 1000 |ig Hg/ml solution. Due to their high
mercury concentrations, the primary and secondary standards are stored outside the mercury-free
room. The working calibration and second source standards are prepared daily from the
corresponding secondary standard solution.
The methyl and ethylmercury chloride standards are purchased from Ultra Scientific. The primary
standards are prepared from the source by dissolving appropriate amounts of the standards in
Optima grade methanol ( Fisher Scientific ). A mixed methyl & ethylmercury chloride secondary
standard is prepared in methanol from the primary solutions and stored in dark. The working,
spiking , and calibration standards are prepared consecutively by dilutions in DIW.
A detailed description of the standard preparation procedure for every matrix/analyte combination
is included in the specific SOPs in Appendix C.
9-1
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Section 9
Date: 4/20/99
Page 2 of 10
TABLE 9.1
Field Instrument List
Manufacturer
Field Equipment
Orion
Orion
Model
140 Conductivity/
Salinity/
Temperature Meter
SA 250 Meter and
Ross Combination
Electrode
Parameters
Conductivity,
Temperature
PH
Matrix
PW
PW
TABLE 9.2
Laboratory Instrument List
Manufacturer
P. S. Analytical Ltd.
P.S. Analytical Ltd.
Hewlett-Packard
Wilmont Castle Co.
Fisher Scientific
Allied
Osterizer
Model
Merlin Plus
Fluorescence
Detector (detector
PSA 10.023)
10.025 Millennium
Merlin System
Model 5890 Series H
Gas Chromatograph
Thermatic 60
Autoclave
73 8F Isotemp Oven
Model 7303DA
Balance
10 Speed Blender
Parameter
Inorganic and Total
Mercury
Inorganic and Total
Mercury
Methyl & Ethyl Mercury
Methyl & Ethyl Mercury
and Total Mercury
Dry Weight
Wet and Dry Weight
Methyl & Ethyl Mercury
and Total Mercury
Matrix
S, SED, T
SW, PW, GW
SW, PW, GS, S,
SED, T
S, SED, T
S, SED
S, SED, T
S, SED, T
9-2
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Section 9
Date: 4/20/99
Page 3 of 10
TABLE 9.3
Standard, Source, Preparation, and Storage
Instrument/
Parameter
Merlin Plus
Fluorescence
Detector
Standard
Sources
FISHER
SMI 14-100
SPEXPLHG4-
2Y
NIST Sediment
8407 and 8406
NBS Oyster
Tissue 566a
NRCC
DORM-2
How Received
lOOOppm Solution
(100ml)
lOOOppm Solution
(100ml)
SRMs
Dry Soil Standards
Dry Tissue Standard
Dry Tissue Standard
Source
Storage
Room
Temperature
outside the
Hg-free room
Room
Temperature
outside the
Hg-free room
Desiccator in
the Hg-free
room
Desiccator in
the Hg-free
room
Desiccator in
the Hg-free
room
Preparation from Source
. Secondary from source:
100 ppb
. Working from secondary:
See SOPs 002-99 and 003-
99 in Appendix C
O J?
. secondary trom source:
100 ppb
. Working (QC-check)from
secondary: See SOPs 002-
99 and 003-99 in Appendix
C.
Digested as if a solid
sample
Digested as if a tissue
sample
Digested as if a tissue
sample
Lab Stock Storage
Room Temp, outside
the Hg-free room
Room Temp inside
the Hg-free room
Not Applicable
Not Applicable
Not Applicable
Preparation
Frequency
Daily
Daily
Daily
Daily
Daily
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Section 9
Date: 4/20/99
Page 4 of 10
TABLE 9.3
Standard, Source, Preparation, and Storage
Instrument/
Parameter
10.025
Millennium
Merlin
System
HP Gas
Chromato-
graph
Standard
Sources
FISHER
SMI 14-100
SPEXPLHG4-
2Y
Ultra Scientific
How Received
1 000 ppm Solution
(100ml)
1000 ppm Solution
(100ml)
Dry methyl- and
ethylmercury
chloride crystals
Source
Storage
Room
Temperature
outside the
Hg-free room
Room
Temperature
outside the
Hg-free room
Desiccator
outside the
Hg-free room
Preparation from Source
. Secondary from source:
100 ppb
. Working from secondary:
See SOP 001-99 in
Appendix C
. Secondary from source:
100 ppb
. Working (QC-check)from
secondary: See SOP 001-99
in Appendix C
. Primary from source in
methanol
. Secondary from primary
in methanol
.Working from secondary
inDIW
Lab Stock Storage
Room Temp, outside
the Hg-free room
Room Temp, inside
the Hg-free room
Room Temp, outside
the Hg-free room
Room Temp, inside
the Hg-free room
Stored in a dark
bottle in desiccator
outside the Hg-free
room.
Stored in a dark
bottle in desiccator
outside the Hg-free
room.
Not Applicable
Preparation
Frequency
Daily
Daily
Yearly
Monthly
Weekly
9-4
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Section 9
Date: 4/20/99
Page 5 of 10
TABLE 9.3
Standard, Source, Preparation, and Storage
Instrument/
Parameter
HP Gas
Chromato-
Graph (cont.)
Orion
S/C/T Meter
Orion pH
Meter
Analytical
balances
Standard
Sources
Ultra Scientific
Canada
National
Research
Council
Orion
Fisher
Scientific, Inc.
Troemner
How Received
Dry methyl- and
ethylmercury
chloride crystals
SRM
Dry Tissue Standard
1000ml
Conductivity
Solutions (98.6,
993, and 102822
|omhos/cm) and
Salinity standard
(Gulf Stream Water,
36 ppt)
pH 4.0, 7.0 and 10.0
solutions
Stainless Steel
(class S weights)
Source
Storage
Desiccator
outside the
Hg-free room
Desiccator in
Hg-free room
Room
Temperature
Room
Temperature
Room
Temperature
Preparation from Source
. Spiking from Working in
DIW
. Calibration from Spiking
in DIW
See SOPs 004-99, 005-99,
and 006-99 in Appendix C
Digested as if tissue sample
Used Directly
Not Applicable
Not Applicable
Lab Stock
Storage
Not Applicable
Not Applicable
Not applicable
Room
Temperature
Not Applicable
Not Applicable
Preparation
Frequency
Daily
Daily
Daily
Replace on
expiration
Replace on
expiration
Daily, Semiannual
Service Calibration
9-5
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Section 9
Date: 4/20/99
Page 6 of 10
An NIST certified Tennessee River sediment (8406, 60 ppb Hg or 8407, 50 ppm Hg) is used as a
Standard Reference Material (SRM) for total mercury determination in soils and sediments .
Either an NBS certified oyster tissue (566a , 60 ppb Hg) or a NRCC (National Research Council
of Canada) certified dogfish muscle (DORM-2, 4600 ppb Hg) is used as the SRM for total
mercury analysis in fish tissue samples. Both the sediment and tissue SRMs are digested and
analyzed in the same manner as the unknown samples.
The NRCC certified dogfish muscle (DORM-2, 4600 ppb Hg) is also used as standard reference
material for organic mercury determination in fish tissue samples.
9.4 Instrument Calibration
All field and laboratory instruments are calibrated, and checked for proper function in the field prior
to analysis. Table 9.4 summarizes the calibration procedures for both field and laboratory
instruments. Calibration procedures for all instruments are described below.
9.4.1 Field Instruments
Field instrument calibration checks are recorded on the Field Instrument Calibration Sheet, which
are kept in individual project files.
9.4.1.1. Salinity/Conductivity/Temperature
The Orion model 140 Salinity/Conductivity/Temperature meter, with a 014010 4-electrode probe,
is factory calibrated and compensated for temperature. Salinity and/or conductance is checked daily
with a solution of known salinity or conductance, while temperature is checked daily against an
NIST thermometer. The S/C/T meter probe and the NIST thermometer is inserted into 25 ml of the
salinity and/or conductance standard (See Table 9.3). A conductivity and/or salinity reading within
5% of the standard value, and a temperature within 0.1 degrees are considered acceptable. Values
outside these acceptance criteria will require the unit to be factory calibrated.
9.4.1.2. pH
The pH meter/probe is calibrated before each field day. We use an automatic temperature
compensation (ATC) probe to adjust for differences in temperature between standards and samples.
Standard pH buffers ( pH 7.00, cat. no. SB108-500; and 10.00, cat. no. SB 116-500)are
purchased from Fisher Scientific. The two-point calibration procedure is as follows:
1. Choose pH 0.01 mode.
2. Rinse probes (pH combination and ATC) in DIW. Blot dry. Rinse with ca. 2 ml of
pH 7.00 buffer. Immerse probes in pH 7.00 buffer.
9-6
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TABLE 9.4
Instrument Calibration
Instrument
Orion S/C/T Meter
Conductivity-
Temperature
Orion pH Meter
PSA Merlin Plus
Mercury System
GC-AFS
Calibration
Type
Continuing
Check
Continuing
Check
Initial
Continuing
Initial
Continuing
Initial
Continuing
No. of
Standards
3
1
2
1
4
1 Blank
1 Interned.
5
1 Blank
1 Interned.
Type of
Curve
Linear
Linear
Linear
Linear
Linear
Linear
Acceptance/ Rejection
Criteria
Conductivity within 5%
of Standard Value
Temperature within 0.1
degrees of NIST
thermometer value
Reading must be with
0.05 pH units.
Reading must be within
0.05 pH units.
R2>0.995
Value of Zero
85-1 15% of initial
calibration
R2>0.995
Value of Zero
85-1 15% of initial
calibration
Frequency
Daily, prior to use,
every 4 hours, and
end of each use.
Daily
Daily, prior to use.
Every 4 hours, and
end of each use.
Daily, prior to each
run
Every 10 samples
Daily, prior to each
run
Every 10 samples
Section 9
Date: 4/20/99
Page 7 of 10
9-7
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Section 9
Date: 4/20/99
Page 8 of 10
TABLE 9.4 (cont.)
Instrument Calibration
Instrument
10.025 Millennium Merlin
System
Calibration
Type
Initial
Continuing
No. of
Standards
4
1 Blank
1 Interned.
Type of
Curve
Linear
Acceptance/ Rejection
Criteria
R2>0.995
Value of Zero
85-1 15% of initial
calibration
Frequency
Daily, prior to each
run
Every 10 samples
9-8
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Section 9
Date: 4/20/99
Page 9 of 10
3. Press Cal button. The meter will display ".1." and the pH value of the buffer; the
meter automatically recognizes the pH of the buffer solution. When pH stabilizes,
press Enter. The display will freeze for 3 seconds, and then display ".2.".
4. Rinse probes in DIW. Blot dry. Rinse with ca. 2 ml of pH 10.01 buffer. Immerse
probes in pH 10.00 buffer.
5. Wait for pH display to stabilize, and press Enter. Display now will say "PH" and be
ready for sample measurement.
6. Rinse probe in DIW, place probe in pH 7.00 buffer, and check that pH meter
reading is within 0.05 pH units.
In case of low pH level samples, the pH 4.00 and pH 7.00 standards will be used in the calibration
procedure.
The response of the pH meter is checked with the pH 7.00 buffer after 4 hours of use and at the end
of each use. If the response is outside 0.05 pH units, the two-point calibration is repeated.
9.4.2 Laboratory Instruments
The PS Analytical Merlin Plus and Millennium Merlin mercury instruments are calibrated
according to the following procedures:
1. Initial calibration is a four-point standard curve. The range of
standards reflect the expected range of sample concentrations. For
low level water samples, standards include 0, 2.5, 5 and 10 ppt.
Standards run for tissue and sediment samples usually include 0, 25,
50, and 100 ppt.
2. All standards are run in duplicate and plotted on a linear calibration
graph using the software inherent to the instrument or a specific
Microsoft Excel calculation template.
3. The linear correlation coefficient is checked by the analyst to ensure
that it is 0.995 or better. Standard curves outside the acceptable
limits are run again, and new standards are prepared if necessary.
4. A second source standard (calibration check) is analyzed at the end
of the standard curve with a concentration of 1-2 times the PQL to
monitor instrument sensitivity and accuracy.
5. A method blank and a middle level standard are analyzed in
duplicate following the standard curve and at a frequency of 5%,
thereafter. The blanks should be less than the corresponding MDL
and the middle level standard should fall within the 85-115 % of the
initial calibration range. If outside the acceptable levels, the run is
stopped, and initial calibration is begun again.
6. For solid and tissue samples analyze one QC check standard, in
duplicate, per sample set.
Multiple dilutions of the primary standard, as required to make the low calibration standard of 10
ppt, often results in error, thereby producing a standard curve that does not intercept the origin. The
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Section 9
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Page 10 of 10
sensitivity of the Merlin Plus System is such that a zero mercury concentration results in a zero
result. Therefore, once the standard curve is checked for linearity within the acceptable limits, the
curve is dropped parallel through the origin by subtracting the intercept value from all the points.
Mercury concentrations in samples are then determined by comparing sample peak heights to the
new standard curve.
The results of the standard curve generated, the resultant correlation coefficient, and results of QC
check samples for each run are kept with the analytical results in project specific files. Examples of
standard curves generated for each matrix (water, sediment, tissue) are included in Appendix D.
The GC-AFS system is calibrated for organic mercury analysis according to the following:
1. A standard curve is created at the beginning of each run by running the
following concentrations: 0.0, 0.833, 1.667, 2.500, and 3.333 pg/joL for
water samples; 0.0, 1.25, 2.50, 3.75, and 5.00 pg/joL for solid samples.
2. All standards are run in duplicate and plotted on a linear calibration graph
using the software inherent to the instrument or a specific Microsoft Excel
calculation template.
3. The linear correlation coefficient is checked by the analyst to ensure that it is
0.995 or better. Standard curves outside the acceptable limits are run again,
and new standards are prepared if necessary.
4. A blank and a middle level standard are analyzed in duplicate following the
standard curve and at a frequency of 5%, thereafter. The blanks should be
less than the corresponding MDL and the middle level standard should fall
within the 85-115 % of the initial calibration range. If outside the acceptable
levels, the run is stopped, and initial calibration is begun again.
5. All samples are run in duplicate.
6. For sediment and tissue samples two duplicate samples and one matrix spike
sample are run for every sample.
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Section 10
Date: 4/20/99
Page 1 of 2
10.0 Preventive Maintenance
10.1 Routine Maintenance
Preventive maintenance is an essential part of a properly functioning laboratory. Maintenance of
field and laboratory instruments are summarized on Tables 10.1 and 10.2. For the Merlin Plus
System, maintenance includes running DIW through the instrument for 15 minutes at the beginning
and end of each day. The gas separator is cleaned as needed.
10.2 Maintenance Documentation
A use log book is kept on each mercury instrument. Instrument response to calibration standards,
the number of samples run, and the hours of instrument use are recorded in each log book. In
addition, all maintenance activities for each instrument are recorded in the log book. A record of
service performed by the manufacturer or other service contractor is kept in the instrument files.
10.3 Contingency Plans
SERF maintains a stock of spare parts for its analytical instruments. Instruments which can not be
fixed by SERF personnel are sent to the manufacturer or other service contractor.
TABLE 10.1 Field Equipment Preventive Maintenance
Instrument
pH meter
Dissolved oxygen meter
and S/C/T meter
Activity
Check batteries - recharge
Check liquid in probe
Replace probes
Rinse with analyte-free water
Check batteries - recharge
Check probes
Frequency
Daily
Daily
Every 6 to 9 months
Before and after each use
Daily
Daily
10-1
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TABLE 10.2 Laboratory Equipment Preventive Maintenance
Section 10
Date: 4/20/99
Page 2 of 2
Instrument
Activity
Frequency
PSA Merlin Plus
Rinse with DIW for 15 minutes
Replace tubing
Replace wash water
Clean gas separator
Beginning and end of day
As needed
As needed
As needed
PSA Millennium Merlin
System
Rinse with DIW for 15 minutes
Replace tubing
Replace wash water
Clean gas separator
Beginning and end of day
As needed
As needed
As needed
GC-AFS
Replace Septum
Replace Column
Replace Pyrolyzer
Replace silanized glass wool in glass
linear
Every 100 injections
As needed
As needed
As needed
Analytical Balances
Clean weighing compartment
Clean interior/exterior
Check calibration
Factory service calibration
Daily
Monthly
Daily
Semi annually
Ovens and Refrigerators
Check temperature
Calibrate with NIST thermometer
Daily
Annually
10-2
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Section 11
Date:4/20/99
Page 1 of 5
11.0 Quality Control Checks and Routines to Assess Precision, Accuracy and
Calculation of MDLs
SERF uses both field and laboratory QC check samples. Each of these QC check samples are
included on Table 11.1.
11.1 Field QC Checks
SERP's field quality control includes the collection of one duplicate sample for every 10 field
samples collected. In addition, according to FDEP-QA-001/90, one pre-cleaned equipment blank is
prepared for every 10 samples. For sampling events involving 1 to 10 samples, one equipment
blank is prepared. This blank is prepared in the field prior to sampling by pouring or rinsing using
analyte-free water on each piece of precleaned field sampling equipment. Equipment blanks for
surface water samples are collected by running analyte-free, water through the vacuum system then
into the sample bottle. For pore water samples, the equipment blank is prepared by running DIW
through the peristaltic pump then into sample bottles. For soil and sediment samples, the
equipment blank is prepared by pouring DIW over the sampling equipment and into the appropriate
sample bottles. All duplicate and blank samples are placed in appropriate bottles with the
corresponding preservatives for each analysis. The collection of blank samples are recorded in the
field note book. For field equipment cleaned in the field, an additional equipment blank is prepared
following the field cleaning procedures at a frequency of one per sampling event or one every 10
samples, whichever is greater. The time and number of all equipment blanks are recorded in the
field note book.
Field instrument checks are completed prior to each sampling event, once every four hours of
operation and at the end of the field sampling event. The results of the field QC checks are
recorded on the Field Instrument Calibration Sheet. Field equipment not functioning properly are
not used to collect data until they are brought back to the laboratory for maintenance and
recalibration. Duplicate field equipment and probes are kept on hand in the laboratory if needed.
11.2 Laboratory QC Checks
SERP's standard laboratory QC checks includes blanks, replicates, matrix spikes and QC
standards and QC check samples. Method reagent blanks consisting of analyte-free water are
prepared exactly like a sample and run prior to each instrument calibration. As standard practice
SERF usually analyzes all samples in replicate. In the laboratory, water samples are split into
two bottles, and each bottle is analyzed three times for a total of six data points for one sample
location. One of every ten water samples has two additional bottles prepared so that two bottles
are analyzed asreplicates and two bottles are spiked to serve as matrix spikes. For total mercury
determinations, two ampoules are prepared for each sediment and fish sample, and each ampoule
is analyzed two times. For organic mercury determinations, four replicate samples are prepared
for each fish and sediment sample, with two run as replicate samples and the remaining two are
spiked to serve as matrix spikes.
11-1
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Section 10
Date: 4/20/99
Page 2 of 2
11-3
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Section 11
Date:4/20/99
Page 2 of 5
Table 11.1
Quality Control Checks
Type
Description
No. of samples
per event
Frequency (all parameter groups unless
specified)
Field
Equipment Blank
(non-field cleaned
equipment)
Fill or rinse all pre-cleaned sampling
equipment (tubing, syringes, filter holders,
etc.) with analyte-free water, fill
appropriate sample containers and preserve
according to each analysis.
1 prepared on-site at the beginning of the sampling
event
1 prepared on-site at the beginning of the sampling
event, and after every 20 samples
Equipment Blank
(field cleaned
equipment)
If equipment is cleaned on-site, then
prepare additional equipment blank sample
by filling or rinsing the field-cleaned
equipment with analyte-free water, filling
the appropriate sample containers and
preserve according to each analysis.
1 at the beginning and end of the sampling event
1 after every 20 samples or 5 % (whatever is
greater)
Field Duplicate
A duplicate sample collected and analyzed
for the same parameters as the original
sample.
1-10
1 sample is collected in duplicate
1 after every 10 samples or 5 % (whatever is
greater)
Field Measurements
QC Check Standards
pH meter
Record the results of calibration check
standards for all field measurement
equipment.
Record two or more pH readings in field
note book until sequential values are within
0.02 pH units.
1 or more
1 or more
Beginning of each sampling event, once every four
hours, and again at end of the sampling day
Every sample.
11-2
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Section 11
Date:4/20/99
Page 3 of 5
TABLE 11.1 Continued.
Quality Control Checks
Type
Description
No. of Samples
per Event
Frequency (All parameters unless specified)
Laboratory
Method Reagent Blank
Analyte-free water
1 or more
samples
1 at beginning of a run, after every 10 samples, and at
the end.
Replicate Samples
Re-analysis of a sample
1 or more
samples
Every sample is analyzed 2 to 4 times
Continuing Calibration
Standards
One standard at a level of 1 to 2X the PQL
(included in the standard curve) and one
intermediate standard
1 or more
samples
Analyzed at the beginning of each run, and at a
frequency of 5%, thereafter.
Matrix Spikes
One sample from a set (not blanks) is split
in two, and one of the duplicates is spiked
with a known concentration (3 to 5 times
higher than the original expected
concentration) prior to sample preparation.
1 or more
samples
1 sample in a set or at a frequency of 5%, whichever is
greater. Except for organic mercury in sediment and
tissue samples, 1 matrix spike is performed on every
sample.
Quality Control Check
Standards
Standards from an independent source that
are certified and traceable (i.e. NIST). Can
be interchanged as one of the continuing
calibration check standards.
1 or more
samples
Analyzed at the beginning of each run to check the
initial calibration of the standard curve.
Quality Control Check
Samples
Samples of known analytical concentration
that are submitted blind to the analyst.
These samples are either prepared in house
or obtained from an independent source.
1 or more
samples
Analyzed in duplicate quarterly.
11-3
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Section 11
Date: 4/20/99
Page 4 of 5
Matrix spikes samples are prepared by adding a known concentration approximately 2 to 5 times
the original expected concentration (e.g. 1 ppt for total mercury water samples) to the duplicate
bottles or ampoules. The concentrations from the unspiked duplicate is subtracted from the spiked
result and the percent recovery is determined by comparing the remainder to the known spike
concentration.
Continuing calibration standards (intermediate level) are run at the beginning of each run and at a
frequency of 5% thereafter. A QC check standard (a certified standard from an independent source)
is run at the beginning of a run to check the calibration curve. A quality control check standard is
typically an intermediate or high end standard.
A Standard Reference Material sample (if available) is included in every run to check the accuracy
of the analytical procedure. Quality control check samples are prepared in-house or from an NIST
or other certifying source and are submitted blind to the analyst on a quarterly basis to check
instrument and user performance. If the blind QC check sample results is not acceptable, the results
will be reported in the QA report to FDEP.
11.3 Routine Method Used to Assess Precision and Accuracy
Precision and accuracy of each analytical parameter determined in the laboratory is determined on a
daily basis. Precision is defined as the agreement or closeness of two or more results. As stated
above, SERF performs 2 to 8 replicate analyses on the same sample. For samples analyzed 3 or
more times, SERF usually determines the mean (X) and standard deviation (SD) of the replicate
analyses and estimates precision in terms of percent relative standard deviation (% RSD) using the
following equation:
%RSD= SD * 100
X
The acceptance criteria for % RSD depends on the analyte/matrix combination (See Table 5.2).
The Relative Percent Difference (RPD) is another parameter used to monitor the precision of our
analytical results and it is calculated for Matrix Spike duplicates and/or sample duplicates. The
acceptance criteria is usually RPD <= 20 - 30 % (See Table 5.2 for specific analyte/matrix targets).
Replicate results that are outside the +/-2SD range are automatically eliminated from the
calculations by the corresponding Microsoft Excel template to ensure precision and reliability of
the final results.
Accuracy is defined as the agreement between the analytical results and the known concentration.
Accuracy is determined by running matrix spikes (MS) and/or standard reference materials (SRM)
and is determined as percent recovery (% R) according to the following equations:
%R= Cs-Cu * 100
MS S
11-4
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Section 11
Date: 4/20/99
Page 5 of 5
Where:
Cs = concentration of spiked sample
Cu = concentration in unspiked sample
S = expected concentration of spike in sample
%R = percent recovery
% R = Sample Concentration * 100
SRM True Value
The control limits for accuracy are +/- three standard deviations of the historical percent recovery
average , with warning limits set at +/- two standard deviation. When no historical limits are
available SERF usually uses an acceptance limit of 75-125% of the expected value (See Table 5.2).
The results obtained for each quality control check are compared to their acceptable limits for
precision and accuracy on a daily basis. New limits (both control and warning) based on historical
data are calculated on a quarterly basis .
11.4 Method Detection Limits
Method detection limits (MDLs) have been determined according to the EPA procedure described
in 40 CFR Part 136, Appendix B, revision 1.11, except that a multiplier of 3 is used instead of the
Student's t value. Specifically, seven or more replicate samples containing an analyte at a known
low concentration are analyzed according to the appropriate analytical procedure for that analyte. A
standard deviation for the replicates is determined and the MDL is computed as 3 times the
standard deviation. The practical quantitation limit (PQL) is defined as 12 times the standard
deviation. MDLs and PQLs are routinely verified/updated on a yearly basis.
11-5
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Section 11
Date: 4/20/99
Page 1 of 5
12.0 Data Reduction, Validation and Reporting
12.1 Data Reduction
Data reduction is not necessary for field data, as field measurements are read directly from the field
instruments in their appropriate reportable units. The pH meter and SCT meter are automatically
compensated for temperature.
All data reduction (both field and laboratory) is performed according to the protocols specified by
the analytical methods listed in Section 5. Each technician is responsible for data entry of field data
from the field notebook into Microsoft Excel spreadsheets. Instrument produced peak heights are
converted to concentrations by comparison to the standard curve by the analytical instrument.
Sediment and tissue samples are corrected for dilutions and for the weight of the sample by the
analyst.
Replicate sample results are further reduced to provide one data point per sampling location. The
mean and standard deviation of each sample result is calculated using Microsoft Excel
spreadsheets. Any replicate result that is two standard deviation away from the mean (+ or -) is
removed from the replicate data set.
12.2 Data Validation
The Chief Chemist and analytical technicians are responsible for the collection, custody, storage,
and analysis of all of the samples. It is their responsibility to check for sample integrity and that the
samples are analyzed within the appropriate holding times. They are also responsible for the proper
maintenance of all equipment and cleaning of laboratory glassware. They provide the first check on
instrument calibration, method blanks, and equipment blank results, and ensure that all method
specifications have been met. If problems arise during an analysis, such as failure of proper
equipment calibration, or unusual sample results, it is their responsibility to verbally notify the
laboratory director as soon as possible.
The QA Officer is responsible for a second check of instrument calibration by comparing the
present instrument responses to historical values. The QA Officer checks all sample preparation
and instrument logs. In addition, the QA officer checks the results of method blanks, equipment
blanks, sample replicates, matrix spikes and field calibration checks and determines that the
instrument precision and accuracy is within the QA objectives listed in Section 5. Obvious
anomalous results are subject to re-analysis.
Dr. Jones, the director, is responsible for the final review of all data and documents that are
submitted to the client (EPA, DOI, NFS, FDEP, SFWMD). Due to his extensive experience in
analytical chemistry, Dr. Jones can apply both objective and subjective techniques to data review.
From his knowledge of analytical chemistry, Dr. Jones can interpret the data in its environmental
context. In addition, through his collection of historical data in South Florida, Dr. Jones can
identify potential outliers in a data set.
12-1
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Section 11
Date: 4/20/99
Page 2 of 5
12.3 Data Reporting
Once the instrument calibration and sample results have been validated, they are entered into input
data files. The laboratory technicians are responsible for entering the raw data into the spreadsheet
and providing a first check of data entry. The QA officer provides a second check of the input data,
spreadsheet calculations and output file formats. Once all of the data has been validated, the QA
officer will provide a written statement of validation along with the data report.
For data reports issued to the client for DEP related work, or for reports issued to DEP, the
following information will be included:
a. Laboratory name, address, and phone number
b. Client name and/or site name
c. CompQAP number
d. Client or field identification number
e. S ampl e i dentifi cati on numb er
f Method name and number/reference of each analysis
g. Analytical result with applicable data qualifiers
h. Date of sample preparation
i. Time of sample preparation if holding time is less than 48 hours
j. Date of sample analysis
k. Date and time of sample collection
1. Identification of all laboratories providing analytical results,
including their CompQAP number
A copy of the final data report is included as Figure 12.1.
12.4 Data Storage
Data input files and final report files are stored on hard drive and floppy disk using names that
readily identify a sampling event. Files labeled by sampling event are stored in a locked file cabinet
with limited access by SERF employees only. These files contain hard copies of the file input and
output as well as all raw laboratory data sheets and field note book sheets. Raw laboratory output
data sheets are identified with a date, analysis, analyst initials, and sampling event number.
Pursuant to Chapter 62-160 F.A.C., all records will be maintained for a minimum of 3 years.
12-2
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Section 11
Date: 4/20/99
Page 3 of 5
FIGURE 12.1
Final Data Report
Southeast Environmental Research Program
Mercury laboratory
CompQAP No.:
Client Name:
Site Name:
Florida International University
OE 148 Miami, FL 33199
(305) 348-3095
Matrix (water, sediment, fish):
Sample
ID
Bottle
#
Sampling
Date
Sampling
Time
Sampling
Depth (m)
Sample
Prep
Date/Time
Sample
Anal.
Date/Time
Parameter
Name/SOP#
Result
/units
QA
Code
Other Laboratories providing analytical results:
Lab : CompQAP # :_
Lab:
CompQAP # :
Analyses:
Analyses:
12-3
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Section 11
Date: 4/20/99
Page 4 of 5
SERF Lab Manager:
12-4
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Section 13
Date: 4/20/99
Page 1 of 3
13.0 Corrective Action
Corrective action is taken whenever the quality assurance objectives have not been met. A
summary of the corrective actions for the laboratory and for the field are included in Tables 13.1
and 13.2, respectively.
The analyst, either the Chief Chemist or the technicians, are responsible for providing a first check
for compliance, and initiating corrective action procedures as described in Table 13.1. The QA
Officer is responsible for a second check for compliance, and initiating corrective action as
appropriate. If problems continue, then the analyst and/or QA officer will notify the laboratory
director immediately, who may initiate further steps in solving the problem.
Any corrective action taken will be documented in one of the following: analyst log books,
instrument log books, or project-specific files. Samples requiring reanalysis will be noted on the
analysis sheet.
FDEP recommended corrective action will be initiated as a result of systems or performance audits,
split samples or data validation review.
13-1
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Section 13
Date: 4/20/99
Page 2 of 3
TABLE 13.1
Corrective Actions for the Laboratory
QC Activity
Acceptance Criteria
Recommended Corrective
Action
Initial Instrument Blank
Instrument response 0.995
Reanalyze standards, if same
response, reoptimize
instrument, if same response,
prepare new standards, notify
Dr. Jones and QA Officer
Matrix Spikes
See Table 5.2 and specific
SOPs in Appendix C
Reanalyze matrix spike, if
same response, prepare and
run a new matrix spike, if
same response, notify Dr.
Jones and QA Officer.
QC Check and Continuing
Calibration Standards
See Table 5.2 and specific
SOPs in Appendix C
Reanalyze check standard, if
same response, prepare new
check standard, if same
response, prepare new
primary and calibration
standards, notify Dr. Jones
and QA Officer.
Replicate Sample
See Table 5.2 and specific
SOPs in Appendix C
Determine cause: baseline
drift, carryover, etc.
Reanalyze all samples
between duplicates, notify
Dr. Jones and QA Officer.
Duplicate Sample
See Table 5.2 and specific
SOPs in Appendix C
Reanalyze duplicates,
reanalyze all samples
between duplicates; notify
Dr. Jones and QA Officer
13-2
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TABLE 13.2
Corrective Actions for the Field
Section 13
Date: 4/20/99
Page 3 of 3
QC Activity
Acceptance Criteria
Recommended Corrective
Action
Initial Calibration Standards
Value within +/- 5% of
expected value
Reanalyze standards, if same
response, optimize
instrument, if same response,
use new standards; notify
Dr. Jones and QA Officer.
QC Check Standards
Value within +/- 2 standard
deviations of the historical
value
Reanalyze QC check
standard, if same response,
prepare new QC check
standard, if same response,
recalibrate; notify
Dr. Jones and QA Officer.
Equipment/Trip Blank
Value
-------
Section 14
Date: 4/20/99
Page 1 of 6
14.0 Performance and System Audits
Dr. Jones supervises all aspects of field and laboratory activities. He requires the laboratory and all
instrumentation to be clean and working at optimum conditions. He is knowledgeable on the inner-
workings of each instrument and checks on their performance as well as on the performance of the
laboratory personnel continually.
14.1 System Audits
14.1.1 Field Audit
A field audit is conducted at least on an annual basis by the QA Officer. During these audits, the
QA Officer will review and evaluate the various components of the measurement system to
determine their proper selection and use according the specific Project Quality Assurance Plan.
Specifically, the auditor will provide a detail review of sampling technique, field instrument
calibration, field decontamination procedures, sample custody, sample preservation, and field note
book documentation. The checklist included as Figure 14.1 will be used during the field audit, any
discrepancies or deviations will be noted in the checklist and corrected immediately. At the end of
the audit, the QA officer will date and sign the checklist stating that the audit was completed, and a
copy of the checklist will be put in the project-specific files.
14.1.2 Laboratory Audit
A laboratory system audit is conducted on a weekly basis by the Chief Chemist. These audits
consist of an evaluation of all laboratory activities. The Chief Chemist inspects that the procedures
and documentation for sample log-in, sample preparation, and sample preservation are appropriate
for the methodology and Project QA plan. In addition, the Chief Chemist checks that the samples
are analyzed within their appropriate holding times, and that the instrumentation is properly
calibrated and that the appropriate type and number of QA samples are run. The checklists
included as Figure 14.2 is used during the audit. Deficiencies found during the audit are
documented on the checklist as well as in one of the following as considered appropriate for the
deficiency: sample log, instrument log, sample preparation log. A copy of the checklist is kept in
the project specific files as well as in the QA Officer's notebook.
14.2 Performance Audits
Laboratory performance audits take place continually or at least on a weekly basis. A portion of
these audits are conducted by all people in the laboratory including the analyst, Chief Chemist, and
QA Officer. Instrument performance is checked continually by the analyst with analysis of standard
curves, sample replicates, method blanks, and equipment blanks. Many of the analyses are
performed and checked within 24 hours to seven days of sample collection, allowing for any
deficiencies to be corrected and samples re-analyzed if needed. The results of these performance
audits conducted by
14-1
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Section 14
Date: 4/20/99
Page 2 of 6
Figure 14.1 Field Audit Checklist
Auditor:
Field Audit Checklist
Date of Audit:
Y
Y
Y
N
N
N
Water Sample Collection
* Sampling station advanced from downgradient
direction.
* A clean person is designated and dons two pair of
sloves.
* Other crew members don one pair of gloves.
* Vacuum system tubing is rinsed three times with
samole water orior to samole collection.
* Sample is properly labeled, double-bagged, and stored in
a cooler.
* Microcentrifuge tubes are stored in the dark in a cooler
with ice.
Soil/Sediment Sample Collection
* Sampling station advanced from downwind direction.
* A clean person is designated and dons two pair of
sloves.
* Sampling equipment clean prior to each sample
collected.
* Sample are homogenized in the field appropriately.
* Sample containers are labeled correctly, bagged, and
olaced in a cooler.
Porewater Sample Collection
* Volume of standing water in the lysimeter is determined
correctlv.
* Three volumes of standard water are purged.
* Field parameters are monitored during purging until
stable.
* Sampling equipment tubing and sample bottles are
rinsed three times orior to samole collection.
*Clean person dons two pairs of gloves.
* Sample containers are labeled correctly, bagged, and
olaced in a cooler.
Comments
Comments
Comments
14-2
-------
Figure 14.1 Field Audit Checklist (Continued)
Auditor:
Field Audit Checklist (cont.)
Date of Audit:
Section 14
Date: 4/20/99
Page 3 of 6
Y
Y
Y
N
N
N
Tissue Sample Collection
* Sample station advanced from downstream direction.
*Clean person dons two pairs of gloves.
* Fish samples are labeled correctly, bagged, and placed
in a cooler.
Field Notebook
The following are recorded in the field notebook:
* Names of the field crew
*Weather conditions
* Time of sample collection
* Time of QC sample collection
* Temperature, Salinity, conductivity, pH of purge water
* Volume of water purged.
* Sample numbers and station names.
* Field equipment cleaning procedures.
* Soil/Sediment sample homogenization procedure.
* The use of fuel powered units.
* Number of QC samples collected.
General
* Samples are collected away from engine exhaust.
* Appropriate number of QC samples are collected.
* Samples are brought to the laboratory on the same day
of samole collection.
Comments
Comments
Comments
14-3
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Section 14
Date: 4/20/99
Page 4 of 6
14-4
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Section 14
Date: 4/20/99
Page 5 of 6
Figure 14.1 Laboratory Audit Checklist
Laboratory Audit Checklist
Auditor: Date of Audit:
Y
Y
Y
N
N
N
Instrument Response
* Instrument notebook is up to date.
* High standard within 10 % of expected value.
* Calibration curve correlation coefficient better than
OQQ
-------
Section 14
Date: 4/20/99
Page 6 of 6
Figure 14.2 Laboratory Audit Checklist (Continued)
Auditor:
Laboratory Audit Checklist (cont.)
Date of Audit:
Y
N
Data Management
* Project Files up to date.
* Data input up to date and correct.
* Calculations performed correctly.
* Output files in correct format.
* Data values within 2 standard deviations of historical
mean.
* Data reports up to date.
Comments
14-6
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Section 14
Date: 4/20/99
Page 7 of 6
the analyst are on instrument log books and instrument printouts on a daily basis.
The Chief Chemist checks the instrument log books on a weekly basis to check that instruments are
running within their appropriate QA objectives. The Chief Chemist may also prepare samples and
submit them blind to the analyst to check instrument and user performance. The results of these
samples are documented in the Chief Chemist notebook.
The QA Officer will review the results of equipment blanks, matrix spike samples, blind samples,
sample replicates, and split samples from another laboratory on at least a semi-annual basis. The
QA Officer will determine if instrument accuracy and precision values are within the project QA
objectives. The results of the QA Officer's review will be documented in the QA Officer's
notebook. Any discrepancies determined between instrument performance and the QA objectives'
will be included in the QA report to FDEP.
Currently, SERF is not involved in a regular external audit program; however, we are available to
receive on-site audits by FDEP at any time.
14-7
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Section 15
Date: 03/06/95
Page 1 of 1
15.0 Quality Assurance Reports
SERF will submit quality assurance reports for all Quality Assurance Project Plans at a frequency
according to Table V of Appendix D of the FDEP QA Manual. The QA Officer is responsible for
the preparation of these reports. In general, if no audits were performed and no significant QA/QC
problems have been identified, then SERF will prepare a brief letter stating these facts in lieu of a
detailed quality assurance report.
A detailed QA report will be prepared when:
1. Activities were conducted in a manner other than those described by the CompQap
or QAPP.
2. Preservation or holding requirements were not met.
3. Quality control checks were unacceptable.
4. Precision, accuracy, or MDL objectives were not met.
5. Corrective action was taken.
6. Internal or external audits were conducted and discrepancies were noted.
According to FDEP guidelines, these QA reports will include the following:
1. Title Page including the time period of the report, the QA Project Plan Title and
Plan number, the laboratory name, address and phone number, and the preparer's
name and signature.
2. Table of contents if the report is over 10 pages long.
3. The results of performance or system audits to include, date of audit, system tested,
name of auditor, parameters analyzed, results of tests, deficiencies or failures, and
an explanation of the problem and the corrective action taken.
4. Significant QA/QC problems.
5. Corrective actions taken.
15-1
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APPENDIX A
Method Validation for Part per Trillion (ppt) Concentrations of Inorganic and Total
Mercury in Water, Solid, and Tissue Samples
Limited Use Method Validation
Prepared by and for:
Southeast Environmental Research Program
Florida International University
OE148
University Park
Miami, Florida 33199
(305) 348-3095
FAX: (305)348-4096
Ronald D. Jones, Ph.D. Date
SERF Director and Professor
Nancy A. Black Date
SERF Quality Assurance Officer
Sylvia S. Labie Date
FDEP QA Officer
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Appendix A
Date: 04/18/96
Page 2 of 13
1.0 Scope and Application
This method covers the determination of parts per trillion (ppt) levels of total and inorganic
mercury in water, soils, sediment, and tissue (fish) samples. A method detection limit of 0.3 ppt is
obtainable for water samples at a precision of less than 5% relative standard deviation (%RSD) and
an accuracy between 90 and 110%. The concentrations of mercury in sediment and tissue samples
are significantly higher than in water samples and can be determined at better precision (<5 %RSD)
and accuracy (90 to 110 %R). Linear calibrations up to 1 part per million (ppm) can be obtained
and higher concentrations can be measured with dilution.
2.0 Summary of Method
Total and inorganic mercury concentrations are determined by Cold Vapor Atomic Fluorescent
Spectrometry (CVAFS). In this method, mercury in a liquid sample is vaporized and stripped from
the remaining liquid by a carrier gas (Argon). A sheath gas (also Argon) constrains the mercury
vapor to a small stream as it passes by a light source and photomultiplier tube. The mercury
concentration is determined by atomic fluorescence.
An PS Analytical (PSA) Merlin Plus mercury analysis system equipped with an autosampler, vapor
generator, fluorescence detector and a PC-based integrator package is used to detect total and
inorganic mercury. The system is run according to the manual provided by the manufacturer,
except lower flow rates are used for the carrier and sheath gases. Low detection levels of 0.3 ppt
Hg in water samples are obtained with flow rates of 0.14 L/min and 0.125 L/min for the carrier and
sheath gases, respectively. For the higher concentrations of mercury detected in sediment and tissue
samples, flow rates of 0.35 L/min for the carrier gas and 0.2 L/min for the sheath gas are used. To
accurately regulate the gas flow for optimum conditions, SERF installed an Omega model FMA-
78P2 electronic mass flow controller in front of the PSA Merlin Plus instrument.
Water sample preparation includes digestion by a brominating procedure to breakdown all mercury
complexes. Sediment samples and tissue samples are digested with concentrated nitric acid in
sealed ampoules, and subsequently autoclaved.
An NBS standard of 1000 |ig Hg/1 is used and diluted to obtain the appropriate linear standard
curve. High standards of 10 ppt and 400 ppt are used for water/tissue and sediment samples,
respectively. NBS oyster tissue 60 ng/g (566a), NRCC dogfish muscle 4.64 jig/g (DORM-2), NIST
sediment nominal 50 jjg/g (8407), and NIST sediment 60 ng/g (8406) are used to check the
accuracy of the tissue and sediment results.
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3.0 Interferences
3.1 Matrix Interferences
There are no matrix interferences with this method. By digesting the water samples with bromine,
all mercury complexes including organomercury compounds, sulphide complexes and complexes
with organic material (e.g. fulvic acids) are broken down. Additionally, acid digesting and
autoclaving results in a complete breakdown of mercury in the sediment and tissue samples.
3.2 Environmental Interferences
Mercury contamination at levels near the method detection limit is a consistent problem as samples
easily absorb mercury from the air and improperly cleaned glassware. To minimize contamination,
all technicians are required to wear surgical vinyl gloves. In addition, all glassware, acids, reagents,
etc. are stored in a mercury-free clean room. The clean room contains a bank of laminar flow hoods
equipped with gold and charcoal filters. The floor is covered with flypaper to trap particulates.
Potential contamination in the clean room is checked weekly by monitoring acidified (1% HC1)
water samples, which are stored open inside the clean room. If significant levels of mercury is
detected in these samples (<20 ppt), then the source of the mercury contamination is identified and
eliminated. The gold and charcoal filters within the laminar flow hoods are reconditioned if
necessary.
Mercury-free DIW is produced by filtering tap water through a Culligan system consisting of
activated charcoal and two mixed bed ion exchange cartridges. This water is piped to the clean
room where is then passed through a Barnstead Mega-ohm B Pure system. This system is fitted
with two filters (Thermolyne: colloid/organic-D0835, and ultrapure-D0809) in line with a 0.22
micron pleated particle filter. Mercury levels are not detectable (<0.1 ppt) in this water by both our
laboratory and by and independent laboratory analysis. This is the only water used for all analyses.
3.3 Laboratory Glassware and Sample Bottle Cleaning
Laboratory glassware is kept to a minimum, with Teflon bottles and beakers used when possible.
All reusable glass bottles, volumetric flasks, graduated cylinders, and teflon beakers are dedicated
to the preparation and storage of a specific reagent, and are rinsed between usage with acid (0.5N
HC1 and 0.05N HNOs) and rinsed three times with DIW. One volumetric flask is kept dedicated to
making the primary standard and is rinsed only with this standard. Glassware or plastic containers
that have come in contact with samples, such as ampoules and scintillation vials are used once then
discarded.
Teflon sample bottles that have been used previously are rinsed three times with DIW and filled
with 1% HC1. After filling, 1 ml of mixed brominating agent is added for every 50 ml, and the
bottle is shaken. This mixture remains in the bottles until used. Prior to their use, 500 |ol of
hydroxylamine hydrochloride is added to remove the free bromine. The bottle and cap are then
rinsed three times with DIW. Sediment cups and 20 ml scintillation vials are non-reusable and
A-3
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Date: 04/18/96
Page 4 of 13
discarded.
4.0 Safety Precautions
Bromine vapors are toxic; therefore, prepare the brominating agent beneath a hood. Keep all
containers with the brominating agent securely capped when moved or stored. Neutralize sample
bottles with hydroxylamine hydrochloride prior to their use.
Hydroxylamine hydrochloride is a skin and eye irritant and can cause dermatitis. A face shield and
gloves must be worn when handling this material.
The exhaust fumes from the atomic fluorescence spectrophotometer are toxic and must be ducted
away. The low pressure mercury discharge lamp used for fluorescence determination emits intense
U. V. radiation. This lamp must not be viewed directly.
5.0 Apparatus and Materials
Analytical instrumentation includes an PSA Merlin Plus mercury analysis system equipped with the
following:
Autosampler Vapor Generator
Fluorescence Monitor IBM compatible computer system
In addition, an Omega model FMA-78P2 electronic mass flow controller is installed in front of the
PSA Merlin Plus instrument. All of the above equipment is stored beneath a protective hood. All
other standard laboratory equipment (Teflon beakers, glassware, pipettes, etc.) is kept within the
clean room and dedicated to mercury analysis. A mercury-dedicated refrigerator, oven, and
analytical balance are kept within the clean room. Polyethylene scintillation vials (20 ml) with
polypropylene caps are used with the autosampler. Water samples suspected of low mercury
concentration are injected into the instrument manually from 125 ml teflon bottles.
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Additional equipment needed for sediment and tissue sample preparation include:
glass bottled blender autoclave
syringe oven
plastic specimen cups balance
10 ml ampoules
6.0 Reagents
6.1 Bromination Reagents
0.1 M Potassium Bromate
Heat 8.385 g KBrO3 overnight in a glass scintillation vial (Kimble 74511) at 250° C +/- 20° C in a
furnace to remove mercury. After cooling dissolve the potassium bromate in 500 ml of DIW and
store in a borosilicate glass bottle with a Teflon cap. Prepare Weekly.
0.2 M Potassium Bromide
Heat 11.9 g KBr overnight in a glass scintillation vial at 250° C +/- 20° C to remove mercury. After
cooling dissolve the potassium bromide in 500 ml of DIW and store in a borosilicate glass bottle
with a Teflon cap. Prepare weekly.
0.05 M Potassium Bromide (KBr) - 0.1 M Potassium Bromate (KBrCh)
Mix equal volumes (100 ml) of bromate and bromide in a borosilicate glass (150 ml) bottle with a
Teflon cap. Prepare daily.
6.2 Hydroxylamine Hydrochloride
Dissolve 6 g of NH2OH-HC1 in 50 ml of DIW in a 60 ml Teflon bottle. Prepare weekly.
6.3 Stannous Chloride
Add 50 ml of 12 N HC1 to 40 g of Stannous Chloride (SnCb). Bring to 1000 ml with DIW in a
borosilicate glass bottle with a Teflon cap. Stannous chloride is purged of any traces of mercury
with argon gas continuously throughout the analysis. Prepare fresh daily.
6.4 12 N Hydrochloric Acid
Concentrated HC1 (12 N HC1) is dispensed via a pipette or poured into a graduate cylinder, either of
which has been previously acid washed and rinsed three times with DIW.
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6.5 16 N Nitric Acid
Concentrated Nitric acid (16 N) is dispensed through a pipette, which has been previously washed
and rinsed three times with DIW.
6.6 Standards
Due to its high concentration, primary stock standard is prepared and stored outside of the mercury-
free clean room. The primary stock standard is made by addition of 100 |ol of SEPEX (PLHG4-2X)
(1000 |ig/ml) to 1000 ml of DIW with 10 ml of trace metal grade HC1 in a glass, volumetric flask
with a ground glass stopper. This standard is prepared daily. Secondary standards are prepared
daily in 500 ml Teflon bottles by adding concentrated HC1 (5 ml) to 495 ml of DIW. The primary
stock is brought into the clean room and 50 jj] - 250 |ol (depending on final concentration of
10 ppt - 50 ppt) is added to the bottles containing the water-acid mixture with a pipette.
6.7 Standard Reference Material
The following standard reference materials are used to check the accuracy and precision of the
tissue and sediment digestion methods and analyses:
DORM-2 Dogfish muscle (NRCC)
556a Oyster tissue (NBS)
8406 Sediment (MIST)
8407 Sediment (MIST)
These standard reference materials are stored and dried according to the Certificate of Analysis
accompanying each standard. The standards are digested following the same procedures used for
tissue and sediment samples. They are prepared and analyzed on a daily basis.
7.0 Calibration
A linear calibration curve is run prior to each sample run. For low level water samples, standards
include 0, 2.5, 5 and 10 ppt. Standards run for tissue and sediment samples include 0, 100, 250,
and 400 ppt. All standards are run in replicate and plotted using the software inherent to the
instrument. Linear regression analysis is used to determine the best-fit calibration line with a
regression coefficient (r ) of 0.998 or better. Standard curves outside the acceptable limits are run
again, and new standards are prepared if necessary.
The sensitivity of the Merlin Plus System is such that a zero mercury concentration results in a zero
result. However, multiple dilutions of the source standard as required to produce the low standard
of 10 ppt, often results in error, thereby producing a standard curve that does not intercept the
origin. Therefore, once the standard curve is checked for linearity, a new linear calibration curve is
recalculated using the high standard and forcing the intercept through zero. Mercury concentrations
in samples are then determined by comparing sample peak heights to the new standard curve.
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8.0 Quality Control
8.1 Method Detection Limit
The method detection limit (MDL) of 0.3 ppt is determined for this method according to the EPA
procedure described in 40 CFR Part 136, Appendix B, revision 1.11, except that a value of 3 is used
in place of the Student's T value. Specifically, seven or more replicate samples containing a known,
low concentration of mercury are analyzed. The standard deviation of the replicate analyses is
determined and the MDL is computed as 3 times the standard deviation.
Table A.I
Method Detection Limit
Matrix
Spiked DIW
(DIW plus Ippt
Hg)
Sediment
Hg
Concentration
(PPt)
2.315
2.093
2.216
2.167
2.290
2.093
2.118
84.30 ppb
85.42ppb
82.44 ppb
8 1.32 ppb
84.30 ppb
82.44 ppb
82.81 ppb
Mean
2.185
83. 29 ppb
Standard
Deviation (S)
0.085
1.42 ppb
MDL = 3 x S
0.255
4.27 ppb
8.2 Precision
Precision is defined as the agreement or closeness of two or more results of the same sample, and
is determined in terms of percent relative standard deviation (% RSD) using the following
equation:
%RSD=_s_* 100,
X
where, s and X represent the standard deviation and mean, respectively, of two or more results of
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Page 8 of 13
the same sample. The analytical precision of this method is variable with more precise
measurements obtained at higher mercury concentrations.
Table A.2
Precision
Matrix
Water
Water
Water
Soil/Sediment Slurry
Tissue Slurry
Hg Concentration
0.3 - 30 ppt
5 - 500 ppt
1-1000 ppt
1 ppt - 400 ppt
1 ppt - 400 ppt
Precision
%RSD
<5%
<5%
<5%
<5%
<5%
8.3 Accuracy
Accuracy is defined as the agreement between the analytical results and the known concentration.
Accuracy is determined by running continuing calibration standards or by check standards and is
determined as percent recovery (%R) according to the following equation:
% R = Observed Standard Concentration * 100.
Known Standard Concentration
Instrument accuracy is determined on a daily basis by performing multiple analysis (5 or more
replicates) of the high standard. Percent recoveries between 90 and 110% are obtained for water
samples with a high standard of 10 ppt. For solid and tissue samples with a high standard of 400
ppt, percent recoveries between 95 and 105% are obtained.
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Table A.3
Accuracy
Matrix
Water
Water
Water
Soil/Sediment Slurry
Tissue Slurry
Hg Concentration
0.3 - 30 ppt
5 - 500 ppt
1 - 1000 ppt
5 - 400 ppt
5 - 400 ppt
Accuracy (% Recovery)
90-110
90-110
90-110
90-110
90-110
8.4 QC Checks
Calibration check samples are run in duplicate following at the beginning and after every 10
samples. For solid and tissue samples, NIST or NBS standards are run after every 20 samples.
Accuracy for each of these calibration check samples and standards must be within 90 to 110%
or the samples must be run again.
9.0 Sample Collection, Preservation, and Handling
9.1 Water Samples
Water samples are collected in Teflon bottles. Collection is done while wearing shoulder length
polyethylene gloves over a pair of vinyl gloves. Surface water samples are collected through a
105 |im nylon screen via a vacuum system to reduce the amount of sediment collected. Samples
are double bagged in zip-lock polyethylene bags and placed in a plastic ice chest/cooler used
exclusively for low level mercury samples. Samples are returned to the laboratory upon the same
day of sample collection and preserved in the mercury-free clean room with 0.5 ml of trace metal
grade HC1 per 100 ml of sample. Sample analysis within 28 days is recommended.
9.2 Sediment Samples
Sediment samples are collected in polyethylene specimen cups (Elkay non-sterile wide mouth
specimen cups with screw caps - 128 ml volume) and placed in polyethylene zip-lock bags. All
field samples are kept in a cooler used exclusively for low level mercury samples until they are
returned to the laboratory, where they are stored in a freezer. Samples can be stored indefinitely
within the freezer; however, analysis within 28 days is recommended.
9.3 Tissue Samples
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Fish are collected with a dip net and stored in plastic bags for transport to the laboratory. In the
laboratory fish are stored within the freezer indefinitely; however, analysis within 28 days is
recommended.
10.0 Sample Extraction/Preparation
10.1 Water Samples
Water samples analyzed for inorganic mercury do not require additional sample preparation prior
to analysis. For analysis of total mercury, the samples are placed in an ultraviolet cabinet for 12
hours, allowed to cool, then 2.5 ml of KBrOs/KBr solution is added to 125 ml of each water
sample. The sample is left to brominate for one hour in the Hg-free room; after which 500 |il of
hydroxylamine hydrochloride is added to the solution to inhibit further reaction. Samples are
permitted to settle for at least 10 minutes before analysis.
10.2 Soils and Sediment Samples
Preparation of soil/sediment samples is done outside the mercury-free room, due to their high
mercury concentrations. Soil/sediment samples are homogenized and slurried in a glass bottle
blender. A mixture of 120 cc of soil/sediment and 50 ml of DIW is blended for three minutes.
With a syringe, 10 ml of the slurry is collected for dry weight determination. Another 10 ml is
pipeted into a polyethylene specimen cup and diluted to 50 ml with DIW containing 5% HC1 to
neutralize any carbonate contained in the sediments. The slurry is mixed well, then 1 ml of the
slurry is transferred to a 10 ml ampoule with 2 ml of concentrated nitric acid (total volume in the
ampoule is 3 ml) and left to sit for 20 minutes. The ampoule is sealed and autoclaved for 1 hour
at 105 C. The ampoules are allowed to cool completely to room temperature, and then 0.5 ml of
the ampoule solution is put into a 20 ml polyethylene scintillation vial containing 19.5 ml of
DIW and 1% HC1 for a dilution of 1:40.
The 10 ml of slurry collected for dry weight is weighed, dried in an oven overnight at 80°C, and
weighed again. Duplicate or triplicate samples are dried and weighed until a constant weight is
obtained. This constant weight is then divided by 10 to obtain the dry weight of sediment within
the original 1 ml extracted for analysis.
10.3 Tissue Samples
Fish samples are prepared similar to soil/sediment samples, except that the initial addition of HC1
to neutralize carbonates is not performed. For small fish (Gambusia sp.), the entire fish is
weighed, placed in ampoules and digested. For large fish (bass and catfish), a stainless steel core
tube, 4 mm in diameter, is used to collect three tissue plugs from the left fillet of each fish. Care
is taken to collect muscle tissue and not scales or bones. The three plugs are combined in a 10
ml ampoule, weighed, and digested according to the procedures described above in Section 10.2.
The weight of the tissue sample that is digested and used for analysis is usually between 0.3 g
and 0.4 g.
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11.0 Sample Cleanup and Separation
Additional sample cleanup and separation are not necessary to separate the mercury from the
sample matrix. The bromination process used for the water samples results in a complete
conversion of all organic forms of mercury to mercury (II). In addition, the acidification
followed by autoclaving the sediment and tissue samples results in a complete digestion of the
sample.
12.0 Sample Analysis
The PSA Merlin Plus Fluorescence detector is operated according to the manufacturer
specifications with the following modifications:
• An Omega model FMA-7882 mass flow controller with a channel selector is
installed at the front of the instrument. This flow controller is used to more
accurately regulate the flow rates of the carrier and sheath gases (both argon)
while the flow controllers supplied with the instrument on the hydride generator
are open to full capacity. For low level mercury in water samples, the optimum
flow rates of the carrier and sheath gases are 140 cc/min and 125 cc/min,
respectively. For high level mercury, such as in sediment and tissue samples,
optimum flow rates of the carrier and sheath gases are 350 cc/min and 200 cc/min,
respectively.
• When analyzing water samples from 125 ml teflon bottles, the auto sampler is
removed and the switch box is modified to sip only from the right sampling tube.
The procedure for sample analysis includes:
1. Tighten the peristaltic pump (pumps wash water, waste water, sample and
stannous chloride).
2. Turn on the wash water to the system
3. Turn on the computer
4. Turn on the gas to the system. The argon (Zero grade) flows through two gas
purifiers (charcoal and gold) and a moisture trap before reaching the instrument.
5. Turn on the line stabilizer/conditioner.
6. Check to make sure no tubes are crimped, and that flow is smooth in all tubes
before proceeding.
7. Check gas flow at the mass flow controller.
Note: For low level Hg-concentrations the optimum level of the carrier gas has
been determined to be 140 cc/min while the sheath gas level has been optimized at
125 cc/min. At higher Hg-concentrations the carrier gas is 350 cc/min, and the
sheath gas is 200 cc/min. The membrane dryer gas flow rate is 1 L/min.
8. Allow the system to run on DIW for 15 minutes.
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9. After 15 minutes switch the instrument to SnCb.
10. Note: the sensitivity dial on the instrument is run at highest sensitivity for water
but may be lowered for running of sediment, soil and tissue samples. This method
is adequate for samples of the range we have run to date.
11. When the instrument is ready, zero the fluorescence detector and run acidified
water (0 ppt) to check baseline response of the instrument and guard against
unexplained contamination from reagent preparation. When peak height of D.I. is
0.0-0.3 the standards may be run. Initially one high standard is run to test for
consistency of standard preparation and machine function. The range of standards
will reflect the concentration of samples to analyze. Eight standards (four
concentrations, two replicates) are run for each standard curve. Standards run for
low level samples are 2.5, 5, and 10 ppt. Standards, blanks, and high level
samples (generally fish, sediments and soil) may be run in plastic scintillation
vials. Water samples for total-Hg are digested and analyzed in 125 ml teflon
bottles. Digested acidified DIW water samples are analyzed along with the
samples as reagent blanks. This number is subtracted from sample values.
12. After running the standards, two samples of the 0 ppt (acidified water) are
analyzed before running the samples. Each 125 ml water sample is analyzed at
least three times. Tissue and sediment samples are run in replicate. One run of
fifty samples plus standards takes approximately 2 hours and uses approximately
10 ml of SnCb per sample. A new standard curve is run when the SnCb is
replaced. In addition to running a full set of standards at the beginning of the
analysis for each bottle of stannous chloride, a replicate of the highest standard
and zero ppt are run after every 10 samples.
Note: When sampling from 125 ml teflon bottles, the auto sampler tray is
removed and the connections are modified to sample only from the right sampling
tube. This is done by disconnecting the right (internal) sampling tube as well as
the corresponding tube to the hydride generator and replaced with a longer teflon
tube that directly connects the sampling tube to the hydride generator.
Instrument Shutdown:
1. If you are using the results directly from the company supplied computer program,
make sure you have printed and/or saved results. This program does not reliably
transfer files to ASCII or Excel although it has functions for these tasks.
2. Replace the SnCb solution with DIW and flush the instrument for 5 minutes.
3. Turn off the wash water and disconnect tubing from DIW bottle.
4. Run the pump until no more liquid is present in the pump tubing.
5. Turn off the gas.
6. Turn off the line stabilizer and the computer.
7. Release tubing in the Hydride generator and peristaltic pump.
8. Check the waste water container and empty if necessary.
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13.0 Calculations
The calculations program supplied with the AFS does not have an adequate curve fitting function
for low level mercury concentrations. Therefore, the instrument data is transferred as an ASCII
file into an Excel spreadsheet. Sample concentration is determined using the linear calibration
curve equation:
Y = M*X + B,
where Y is the sample concentration, M is the slope of the best-fit line through the calibration
points, X is the sample peak height, and b is the intercept of the line with the Y axis. Sample
concentration is further corrected for background noise or drift, if any, by subtraction. In
addition, if the sample was diluted prior to analysis, the sample concentration is multiplied by the
dilution factor. An additional correction for dry and wet sample weight is performed for
soil/sediment and tissue samples, respectively.
The concentration of mercury per gram of soil/sediment or of tissue (Cng) is obtained from the
following equation:
CHg = (SC * D.F. * 0.003)/(W)
where SC is the sample concentration in ng/1 (ppt), D.F. represents the final dilution factor, 0.003
represents the volume of sample in each ampoule in liters, W is either the dry weight of
soil/sediment in 1 ml of solution extracted for analysis, or the wet weight of the fish digested in
the ampoule (whole fish or plug samples).
14.0 Confirmation
As yet, no other analytical method has been developed to measure sub-part per trillion
concentrations of mercury. Confirmation can only be obtained by analysis of duplicate samples
by other laboratories with similar capabilities. Laboratories currently used by SERF for
confirmation include the EPA laboratory in Athens, GA and Batelle Marine Sciences Laboratory
in Sequim, WA.
15.0 Method Performance
This method measures inorganic and total mercury in water samples at concentrations between
0.3 ppt and 1000 ppt with a precision of better than 5% RSD and an accuracy between 90 and
110%. Mercury concentrations between 5 and 500 ppt in sediment and tissue samples are easily
measured, with higher concentrations determined following dilution. Accuracy and precision of
the higher mercury concentrations in the sediment and tissue samples can be obtained at
precision and accuracy levels of better than 5% RSD and between 90 and 110%, respectively.
A-13
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APPENDIX B
Related Scientific Articles
-------
Contents
Jones, Jacobson, Jaffe, West-Thomas, Arfstrom, and Alii. 1995. Method Development and
Sample Processing of Water, Soil, and Tissue for the Analysis of Total and Organic Mercury
by Cold Vapor Atomic Fluorescence Spectrometry. Water, Air and Soil Pollution. 80: 1285-
1294.
Alii, Jaffe, and Jones. 1994. Analysis of organomercury compounds in sediments by capillary
GC with atomic fluorescence detection. Journal of High Resolution Chromatography. Vol
17, pp. 745-748.
Lee and Mowrer. 1988. Determination of methylmercury in natural waters at the sub-nanograms
per liter level by capillary gas chromatography after adsorbent preconcentration.
Cai, Jaffe, Alii, and Jones. 1996. Determination of organomercury compounds in aqueous
samples by capillary gas chromatography-atomic fluorescence spectrometry following solid-
phase extraction. Analytica ChimicaActa 334 (1996) 251-259.
Evaluation of some isolation methods for organomercury determination in soil and fish samples
by capillary gas chromatography-atomic fluorescence spectrometry. Intern. J. Environ. Anal.
Chem. Vol. 68 (3), pp. 331-345.
-------
APPENDIX C
SERP Mercury Lab Standard Operating Procedures
-------
SERF Mercury Lab Standard Operating Procedures (SOP)
SOP
Number
001-99
002-99
003-99
004-99
005-99
006-99
SOP Title
Determination of Total Mercury in Water Samples
Determination of Total Mercury in Soils and Sediments
Determination of Total Mercury in Fish Samples
Determination of Organic Mercury in Water Samples
Determination of Organic Mercury in Soil/Sediment Samples
Determination of Organic Mercury in Fish Tissue Samples
Issue Date
04/15/99
04/15/99
04/15/99
04/15/99
04/15/99
04/15/99
-------
APPENDIX D
Examples of Instrument Printouts for Total and Organic Mercury Determinations
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Appendix E
Date: 11/21/97
Page 1 of 16
APPENDIX E
Method Validation for Organomercury Compounds in Water, Sediment, and Tissue
Samples
Limited Use Method Validation
Prepared by and for:
Southeast Environmental Research Program
Florida International University
OE148
University Park
Miami, Florida 33199
(305) 348-3095
FAX: (305)348-4096
Ronald D. Jones, Ph.D. Date
SERF Director and Professor
Doraida Diaz Date
SERF Quality Assurance Officer
Sylvia S. Labie Date
FDEP QA Officer
E-l
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Appendix E
Date: 11/21/97
Page 2 of 16
1.0 Scope and Application
This method covers the determination of parts per trillion (ppt) levels of organomercury compounds
in water, soils, sediment, and tissue (fish) samples. Organomercury compounds that can be
detected by the methods described herein include methylmercury (MeHg) and ethylmercury (EtHg).
Method detection limits (MDL) of 0.02 ng/L (ppt) and 0.02 ng/g (ppb) are obtainable for both
methyl- and ethylmercury in water and sediment/tissue samples, respectively.
2.0 Summary of Method
Organomercury concentrations are determined by capillary gas chromatography coupled with
atomic fluorescence spectrometry (GC-AFS) as described by Alii et al. (1994). Initial extracts of
sediment and tissue samples are subjected to sodium thiosulfate clean-up and the organomercury
species are isolated as their bromide derivatives by acidic KBr and CuSQt and subsequent
extraction into a small volume of dichloromehtane. For water samples, the organomercury
compounds are pre-concentrated using a sulfhydryl cotton fiber adsorbent, followed by elution with
acidic KBr and CuSO4 and extraction in dichloromethane.
Chromatography is performed with a Hewlett-Packard (Model 5890 Series n) gas chromatograph
coupled with an FIP (Model 7673) automatic sampler. A Merlin Mercury Fluorescence Detector
System, Model 10.023, (P.S. Analytical) is used.
All mercury standards are purchased from Ultra Scientific. Stock standard solutions of methyl- and
ethylmercury chloride are prepared by dissolving appropriate amounts of the standards in optima
grade methanol (Fisher Scientific). These solutions are stored in dark brown bottles at <20°C and
diluted with dichloromethane.
3.0 Interferences
3.1 Matrix Interferences
For analysis of organic mercury in water samples, pH, chloride ion concentration and salinity must
be within the domain of 2-5, <0.37 M and <20 °/o, respectively. The normally occurring
concentrations of ions such as sulfate, calcium, and magnesium, as well as the presence of
dissolved organic carbon have no effect on the analysis.
Low levels of recovery are obtained for fish tissue (70%-80%) and soil and sediment samples
(70%-85%). The exact cause for the low recovery of organic mercury is unknown yet assumed to
be related to the sample matrix. Due to the low levels of recovery for these matrices, matrix spike
recoveries must be determined on every sediment and tissue sample.
3.2 Environmental Interference's
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Mercury contamination at levels near the method detection limit is a consistent problem as samples
easily absorb mercury from the air and improperly cleaned glassware. To minimize contamination
all technicians are required to wear surgical vinyl gloves. In addition, all glassware, acids, reagents,
etc. are stored in a mercury-free clean room. The clean room contains a bank of laminar flow hoods
equipped with gold and charcoal filters. The floor is covered with flypaper to trap paniculate.
Mercury-free DIW is produced by filtering tap water through a Culligan system consisting of
activated charcoal and two mixed bed ion exchange cartridges. This water is piped to the clean
room where it is then passed through a Barnstead Mega-ohm B Pure system. This system is fitted
with two filters (Thermolyne: colloid/organic-D0835, and ultrapure-D0809) in line with a 0.22
micron pleated particle filter. Organic mercury levels are not detectable (<0.02 ppt) in this water.
This is the only water used for all analyses.
3.3 Laboratory Glassware and Sample Bottle Cleaning
Laboratory glassware is kept to a minimum, with Teflon bottles and beakers used when possible.
All reusable glass bottles, volumetric flasks, graduated cylinders, and teflon beakers are dedicated
to the preparation and storage of a specific reagent, and are rinsed between usage with acid (0.5N
HC1 and 0.05N HNOs) and rinsed three times with DIW. Glassware or plastic containers that have
come in contact with samples, such as ampules and scintillation vials are used once then discarded.
Teflon sample bottles that have been used previously for the collection of water samples are rinsed
three times with DIW and filled with 1% HC1. After filling, 1 ml of mixed brominating agent is
added for every 50 ml, and the bottle is shaken. This mixture remains in the bottles until used.
Prior to their use, 500 jjj of hydroxylamine hydrochloride is added to remove the free bromine. The
bottle and cap are then rinsed three times with DIW. Sediment cups and 20 ml scintillation vials
are non-reusable and discarded.
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4.0 Safety Precautions
Bromine vapors are toxic; therefore, prepare the brominating agent beneath a hood. Keep all
containers with the brominating agent securely capped when moved or stored. Neutralize sample
bottles with hydroxylamine hydrochloride prior to their use.
Dichloromethane is a skin, eye, and respiratory irritant. A face shield and gloves must be worn
when handling this material. This material should only be handled under a fume hood.
The exhaust fumes from the atomic fluorescence spectrophotometer are toxic and must be ducted
away. The low pressure mercury discharge lamp used for fluorescence determination emits intense
U. V. radiation. This lamp must not be viewed directly.
5.0 Apparatus and Materials
A schematic diagram of the GC-AFS system used in this work is shown in Figure I and the
optimum operating conditions are summarized in Table I. A Hewlett-Packard (Model 5890 Series
n) gas chromatograph coupled with an HP (Model 7673) automatic sampler is used. A fused-silica,
bonded phase megabore column (15 m x 0.53 mm i.d., 1 |am non-polar DB-1 coating, J & W
Scientific) and the splitless injection mode is employed. The effluent from the column is led
through a pyrolyzer (P.S. Analytical Ltd., UK), positioned inside the GC oven via a piece of 65 cm
length of deactivated fused-silica (0.53 mm i.d., J & W Scientific), which is connected to the
column with a glass "press fit" union (J & W Scientific). The Hg atoms formed in the pyrolysis unit
are transferred from the outlet end of the deactivated fused-silica tubing to the fluorescence detector
(teflon transfer line, 0.5 mm i.d., Alltech Associates). The transfer line is passed through a small
hole on the top of the GC oven to a Merlin Mercury Fluorescence Detector, and the connections are
made via teflon unions.
A real time chromatographic control and data acquisition system (E-Lab, Version 4.1 OR, OMS
TECH, INC.) is interfaced with the GC and AFS detector system. Additional equipment needed
for sediment and tissue sample preparation include:
glass bottled blender oven
syringe balance
plastic specimen cups
10 ml ampules
autoclave
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Figure I. Gas Chromatographic-Atomic Fluorescence Spectrometric System. 1A: Helium, IB:
Argon, 2: Oxygen trap, 3: Mercury trap, 4: Moisture trap, 5: Automatic sampler, 6: Injector, 7:
Column, 8: Press-fit union, 9: Pyrolyzer, 10: Deactivated fused-silica 0.53mm i.d., 11: Teflon
unions, 12: Teflon transfer line 0.5mm i.d., 13: Atomic Fluorescence detector, 14: E-Lab
chromatographic control and data acquisition system, 15: Mass flow controller-Channel A make-
up, Channel B sheath gas.
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Table I. Optimized operating conditions of GC-AFS.
Gas chromatograph.
Injector temperature 250°C
Temperature program 1 min at 40 C, 60 C/min to 140 C,
3 min at 140°C, 50°C/min to 200°C,
10minat200°C.
Pyrolyzer temperature 800°C
Column flow 4.0 ml/min
Make-up flow 60 ml/min
Atomic fluorescence system
Sheath gas flow 300 ml/min
Integrate time 0.25s
Calibration range 1000 (most sensitive)
Fine gain 10 (maximum)
Recorder output voltage IV
Damping switch On
(for signal smoothing)
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6.0 Reagents
6.1 Bromination Reagents
0.1 M Potassium Bromate
Heat 8.385 g KBrCb overnight in a glass scintillation vial (Kimble 74511) at 250° C +/- 20° C in a
furnace to remove mercury. After cooling dissolve the potassium bromate in 500 ml of DIW and
store in a borosilicate glass bottle with a Teflon cap. Prepare Weekly.
0.2 M Potassium Bromide
Heat 11.9 g KBr overnight in a glass scintillation vial at 250° C +/- 20° C to remove mercury. After
cooling dissolve the potassium bromide in 500 ml of DIW and store in a borosilicate glass bottle
with a Teflon cap. Prepare weekly.
0.05 M Potassium Bromide (KBr) - 0.1 M Potassium Bromate (KBrCh)
Mix equal volumes (100 ml) of bromate and bromide in a borosilicate glass (150 ml) bottle with a
Teflon cap. Prepare daily.
6.2 Acidic Potassium Bromide
Dissolve 180 g of potassium bromide in 200 mL of DIW. Add 50 ml of trace metal grade sulfuric
acid to 100 ml of DIW. Combine the two solutions in a 1 liter flask. After the solution has cooled
to room temperature bring the flask up to 1 L with DIW. Store the solution in the mercury-free
room in a 1 liter glass bottle with a Teflon lined cap. Prepare as needed.
6.3 1.0 M Copper Sulfate, 0.5 M Copper Chloride, 0.01 M Sodium Thiosulfate
Dissolve the appropriate amounts of each of these salts in DIW. Store in separate glass 0.5 L
bottles with Teflon line caps in the mercury-free room. Prepare as needed. All solutions are
extracted with dichloromethane prior to use.
6.4 Dichloromethane
Dichloromethane is stored in its original glass container and dispensed through a pipette.
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6.4 Standards
All Hg standards are purchased from Ultra Scientific. Stock standard solutions of methyl- and
ethylmercury chloride are prepared by dissolving appropriate amounts of the standards in optima
grade methanol (Fisher Scientific). These solutions are stored in dark brown bottles, under a hood
outside the mercury-free room at <20°C.
A secondary standard is prepared on a weekly basis by diluting the primary standard by 100 in
methanol. Working standards are prepared on a daily basis by diluting the appropriate amount of
the secondary standard in a solution of 0.8 |oL DI water and 0.3 ml acidic KBr/CuSO4 (3:1), then
extracting with 100 |oL dichloromethane. A five point standard curve is produced within the linear
range of 0 to 6.67 pg Hg/|oL for water samples and of 0.0 to 6.0 pg Hg/|oL for solid samples. (Note,
that every standard and sample is injected into the GC-AFS in 5 |oL volumes.)
6.5 Gases
All gases are supplied by Liquid Carbonic Specialty Gases and are of zero grade quality. Helium
(99.995%) is used as the carrier gas (GC), passed first through an oxygen trap, then through a Hg
trap (gold-activated carbon) and a moisture trap prior to the GC. Argon (99.998%) is employed as
the make-up gas and the sheath gas for the GC-AFS system and is also passed through moisture and
Hg traps before use. Its flow is regulated by a mass flow controller (Omega) equipped with two
channels, channel A (make-up flow) and channel B (sheath gas flow, see Figure I).
6.5 Synthesis of Sulfydryl-cotton (SHC) fiber adsorbent.
This synthesis follows the procedure used by Lee and Mowrer (1989). A mixture is first prepared
by adding the following reagents in sequence to round bottom flask: 100 ml thioglycolic acid, 60 ml
acetic anhydride, 40 ml acetic acid (36%) and 0.30 ml concentrated sulfuric acid. The mixture is
allowed to cool to 45°C, then 30 g of cotton wool are added and allowed to soak thoroughly in the
mixture. The reaction bottle is placed in an oven for 3 to 4 days at 40°C, then the product is placed
in a filter-funnel with suction filtration and washed thoroughly with deionized water to remove
traces of thioglycolic acid. The SHC fiber obtained is dried at 40°C for 24 h and stored at room
temperature (20°C).
7.0 Calibration
A linear calibration curve is run prior to each sample run (See section 6.4). Linear regression
o
analysis is used to determine the best-fit calibration line with a regression coefficient (R ) of 0.995
or better. Standard curves outside the acceptable limits are run again, and new standards are
prepared if necessary.
8.0 Quality Control
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8.1 Method Detection Limit
The method detection limit (MDL) is determined for this method according to the EPA procedure
described in 40 CFRPart 136, Appendix B, revision 1.11, except that a value of 3 is used in place
of the Student's T value. Specifically, seven or more reagent blanks are analyzed and the
instrument baseline noise is determined. The standard deviation of the replicate analyses is
determined and the MDL is computed as 3 times the standard deviation.
Table A.I
Method Detection Limit
Matrix
Water
Sediment
/
Tissue
MeHg Cone. EtHg
Cone.
0.0092 ng/L 0.0090 ng/L
0.0092 ng/L 0.0090 ng/L
0.0135 ng/L 0.0132 ng/L
0.0221 ng/L 0.0216 ng/L
0.0221 ng/L 0.0216 ng/L
0.0105 ng/L 0.0102 ng/L
0.01 17 ng/L 0.01 14 ng/L
0.0141 ng/L 0.0138 ng/L
0.0234 ng/L 0.0228 ng/L
0.0092 ng/L 0.0090 ng/L
0.028 ng/g 0.005 ng/g
0.005 ng/g 0.010 ng/g
0.011 ng/g 0.008 ng/g
0.003 ng/g 0.014 ng/g
0.015 ng/g 0.005 ng/g
0.014 ng/g 0.020 ng/g
0.014 ng/g 0.015 ng/g
0.010 ng/g 0.004 ng/g
0.014 ng/g 0.010 ng/g
Mean
MeHg
0.0145 ng/L
EtHg
0.0142 ng/L
MeHg
0.013 ng/g
EtHg
0.010 ng/g
Standard
Deviation
(S)
MeHg
0.0055 ng/L
EtHg
0.0057 ng/L
MeHg
0.007 ng/g
EtHg
0.005 ng/g
MDL = 3 x
S
MeHg
0.017 ng/L
EtHg
0.017 ng/L
MeHg
0.021 ng/g
EtHg
0.015 ng/g
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8.2 Precision
Precision is defined as the agreement or closeness of two or more results of the same sample, and
is determined in terms of percent relative standard deviation (% RSD) using the following
equation:
%RSD=_s_* 100,
X
where, s and X represent the standard deviation and mean, respectively, of two or more results of
the same sample. The analytical precision of this method is variable with more precise
measurements obtained at higher mercury concentrations.
Table A.2
Precision
Matrix
Water
Sediment/Tissue
MeHg and EtHg
Precision
%RSD
<10
<10
8.3 Accuracy
Accuracy is defined as the agreement between the analytical results and the known concentration.
Accuracy is determined by running continuing calibration standards, check standards, and matrix
spike samples and is determined as percent recovery (%R) according to the following equation:
% R = Observed Standard Concentration * 100.
Known Standard Concentration
Instrument accuracy is determined on a daily basis by performing matrix spike samples. Percent
recoveries between 95 - 105% and between 80 - 120% for methyl- and ethylmercury,
respectively, in water. For solid and tissue samples recoveries of 70 - 85% and 70 - 80% are
obtained, respectively. Due to these low recoveries, matrix spike samples must be done on every
tissue and sediment sample in order to compensate for matrix effects.
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Table A.3
Accuracy
Matrix
Water
Soil/Sediment
Tissue
Accuracy (%
MeHg
95 - 105
70-85
70-80
Recovery)
EtHg
80 - 120
70-85
70-80
8.4 QC Checks
Calibration check samples are run in duplicate following the standard curve at the beginning and
after every 10 samples. Three replicate samples are prepared for each solid and tissue sample.
Two of the replicates are run as replicate samples, while one of the samples is spiked to serve as
a matrix spike. The percent recovery is determined for all solid and tissue samples, and this
recover factor is applied to each sample. A standard reference material for methylmercury in
tissue is available from the Canadian National Research Council (DORM-2 Dogfish muscle and
liver). Standard reference material for ethylmercury is not yet available.
9.0 Sample Collection, Preservation, and Handling
9.1 Water Samples
Water samples are collected in Teflon bottles. Collection is done while wearing shoulder length
polyethylene gloves over a pair of vinyl gloves. Surface water samples are collected through a
105 |im nylon screen via a vacuum system to reduce the amount of sediment collected. Samples
are double bagged in zip-lock polyethylene bags and placed in a plastic ice chest/cooler used
exclusively for mercury samples. Samples are returned to the laboratory upon the same day of
sample collection, acidified with HC1 to a pH<2, then stored in the mercury-free clean room and
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analyzed within 28 days. Immediately prior to processing for analysis the sample pH is increased
to above 3 with NaOH.
9.2 Sediment Samples
Sediment samples are collected in polyethylene specimen cups (Elkay non-sterile wide mouth
specimen cups with screw caps - 128 ml volume) and placed in polyethylene zip-lock bags. All
field samples are kept in a cooler used exclusively for low level mercury samples until they are
returned to the laboratory, where they are stored in a freezer. Samples can be stored indefinitely
within the freezer; however, analysis within 28 days is recommended.
9.3 Tissue Samples
Fish are collected with a dip net and stored in plastic bags for transport to the laboratory. In the
laboratory fish are stored within the freezer indefinitely and analyzed within 28 days.
10.0 Sample Extraction/Preparation
10.1 Water Samples
The determination of organic mercury in water samples involves an adsorbent pre-concentration
of the organomercurials onto sulfydryl-cotton fibers. The sulfydryl-cotton (SFC) fiber columns
are made of a 5 ml screening column (Fisher Scientific) containing 0.16 g of SFC fiber, packed 1
cm high. The water sample is passed through the column by vacuum. Five-mi of an acidic
potassium bromide and 1.0 M copper sulfate mixture (2:1) are then pipetted on the surface of the
adsorbent and the eluate is collected in a 6 ml glass vial. This is extracted with 0.25 ml
dichloromethane on a shaker and centrifuged as described above. The dichloromethane layer is
then transferred to a 2 ml glass sampling vial and subjected to GC analysis.
10.2 Soils, Sediment and Tissue Samples
Preparation of soil/sediment samples is done outside the mercury-free room, due to their high
mercury concentrations. Soil/sediment samples are homogenized and slurred in a glass bottle
blender. A mixture of 120 cc of soil/sediment and 50 ml of DIW is blended for three minutes.
With a syringe, 10 ml of the slurry is collected for dry weight determination.
The extraction procedure for soil/sediment and tissue samples consists of three steps. Step 1. A
1.0-5.0 g portion of the homogenized sample is placed in a 20 ml borosilicate glass scintillation
vial (Kimble, #74511). To the vial 5 ml distilled water, 3.0 ml of 1.0 M copper sulfate and 3.0
ml of acidic potassium bromide solution are added. The mixture is shaken for 1 hr at 330 rpm
(Gyrotory Shaker Model G2). Dichloromethane (5 ml) is added and the mixture is shaken for 24
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Date: 11/21/97
Page 13 of 16
h at 330 rpm and then centrifuged for 10 min at 5000 g in a Sorvall Model RC-5 refrigerated
centrifuge (Dupont). Step 2. An exactly known volume of the dichloromethane layer (3.0-4.0
ml) is transferred to a 7.0 ml borosilicate glass scintillation vial (Kimble, #0333726) and 1.0 ml
of 0.01 M sodium thiosulfate is added. The mixture is shaken for 20 min at 330 rpm and
centrifuged at high speed in a IEC clinical centrifuge. Step 3. The aqueous layer (0.8 - 0.9 ml) is
placed in a 1.5 ml microcentrifuge tube (Fisherbrand, Fisher Scientific), and 0.3 ml of acidic KBr
and CuSO4 mixture (3:1) and 0.1 ml dichloromethane are added. The contents are mixed for 1
min on a Vortex Genie mixer and centrifuged for 2 min at high speed (16,749 x g) in a Hermle
centrifuge. The dichloromethane is transferred to a 2.0 ml glass sampling vial containing a few
crystals of anhydrous sodium sulphate and subjected to GC analysis. Injections of 5.0 |oL are
used. Samples spiked with known concentrations of methyl- and ethylmercury chloride are
extracted to evaluate the recovery factor used for quantification.
The 10 ml of slurry collected for dry weight is weighed, dried in an oven overnight at 80°C, and
weighed again. Duplicate or triplicate samples are dried and weighed until a constant weight is
obtained. This constant weight is then divided by 10 to obtain the dry weight of sediment within
the original 1 ml extracted for analysis.
10.3 Tissue Samples
Fish samples are prepared similar to soil/sediment samples. For small fish (Gambusia sp.) the
entire fish is weighted and placed in the 20 ml borosilicate glass scintillation vial. For large fish
(bass and catfish), a stainless steel core tube, 4 mm in diameter, is used to collect three tissue
plugs from the left fillet of each fish. The three plugs are weighed then placed in the borosilicate
glass scintillation vial and digested as for the soil and sediment samples.
11.0 Sample Cleanup and Separation
The sample cleanup and separation procedures are described in detail above under Section 10.0
Sample Extraction/Preparation.
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12.0 Sample Analysis
The procedure for sample analysis is as follows:
1. Turn on main switch (controls computer plus AF detector).
2. Turn on conditioner (controls gas meter).
3. Screw teflon tubing that carries helium from the GC column to AF detector.
4. Turn on pyrolyzer.
5. Fill up solvent containers with CFhCh.
6. Place samples in the autosampler and write sequence of samples.
7. Press "zero" in the AF detector several times until it stabilize (it takes about an hour
or more).
8. Type "elab" at the prompt sign.
9. Select "method".
10. Select "retrieve". Hit "enter" twice.
11. Hit "escape", select "go".
12. Enter total # of samples to be run and press "enter".
13. Enter file name and press "enter".
14. Press "start" in the autosampler.
15. A curve is created at the beginning of each run by running the following
concentrations: 0.0, 0.83, 1.67, 3.33, and 6.67 pg/|oL for water samples; 0.0, 2.0, 4.0,
and 6.0 pg/joL for solid samples.
16. A blank is run following the calibration curve.
17. A low and a high standard are run to check the calibration curve.
18. A blank sample is run prior to running the actual samples.
17. High standards are run after each set of ten samples. The run ends with a high
standard followed by a blank.
18. All samples are run in duplicate.
19. For sediment and tissue samples two duplicate samples and one matrix spike sample
are run for every sample.
20. QC check standard made from a different source is used to confirm calibration.
A consistent system for determining peak responses has been established by properly selecting
threshold level of the data acquisition program ( see attached chromatograms).
13.0 Calculations
Sample concentration is determined using the linear calibration curve equation:
H = M * X + B,
where H is the sample concentration in pg/Dl, M is the slope of the best-fit line through the
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Date: 11/21/97
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calibration points, X is the sample peak height, and b is the intercept of the line with the Y axis.
Sample concentration is further corrected for background noise or drift, if any, by subtraction.
The formulas used to calculate the final organomercury results are as follows (see attached sheet):
Column A: sample No. (a, b, c, d)
B (gram): wet sample weight
C (gram): dry sample weight
C=B*R
R: sample dry/wet ratio
D (ng/g): standard concentration spiked into sample based on dry weight
D=1000/(C*1000)
E (ml): volume of CFbCh transferred at the first extraction step initially, 5 ml
of CFhCh is added to sample for extraction).
F (ml): volume of Na2S2O3 transferred at the back extraction procedure
(initially, 1.0 ml of Na2S2O3 is added to the CH2Cb extract).
G (*E+5): peak area
H (pg/Dl): concentration of organomercury in sample
I=(H* V/C)*(5.0/E* 1.0/F)* 1/1000
V(D1): volume of CH2C12 added at the final extraction
step.
5.0/E: correction factor for the first CFbCh extraction
step.
1.0/F: correction factor for the Na2S2O3 back extraction
step.
J (ng/g): average concentration of unspiked samples (a & b).
K (ng/g): standard deviation of concentration of unspiked samples.
L (%): recovery of the spiked sample
L=(I-J)/D* 100
M(%): averages of the recoveries (L).
N (ng/g): recovery corrected sample concentration.
O (ng/g): recovery corrected standard deviation.
14.0 Confirmation
As yet, no other analytical method has been developed to measure sub-part per trillion
concentrations of organic mercury compounds. Confirmation can only be obtained by analysis of
duplicate samples by other laboratories with similar capabilities. Laboratories currently used by
SERF for confirmation include the EPA laboratory in Athens, GA and Batelle Marine Sciences
Laboratory in Sequim, WA.
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15.0 Method Performance
This method measures organic mercury compounds (methylmercury) in water and sediment/tissue
samples at method detection limits of 0.02 ppt and 0.02 ppb, respectively. Following the same
procedures described herein, similar detection limits can be obtained for ethylmercury.
16.0 References
Alii, A., R. Jaffe, and R. Jones. 1994. Analysis of organomercury compounds in sediments by
capillary GC with atomic fluorescence detection. Journal of Kgh Resolution Chromatography.
17:745-748.
Lee, Y.H. and Mowrer, J. 1989. Determination of methylmercury in natural waters at the sub-
nanograms per liter level by capillary gas chromatography after adsorbent preconcentration. Anal.
Chim. Acta. 221:259-268.
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Appendix A
Revision 1
Date: 04/18/S6
Page 1 of 14
APPENDIX A
Method Validation for Pirt per Trillion (ppt) Concentrations of Inorganic and Total
Mercury In Wafer, Solid, and Tissue Samples
Limited Usi Method Validation
Prepared by and for:
Southeast Environmental Research Program
Florida International University
OE 143
University Park
Miami. Florida 33199
POSJ 341-3095
FAX; 1305) 348-4096
Ronald 0. Jones, Ph.DX/ ' Date
SERF Director and
Nancy A£r BlackDate
SERF Quality Assurance Officer
Sylvia S. Labie Date
FDEP OA Officer
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Appendix A
Revision 1
Date: 04/18/96
Page 2 of 14
1.0 Scope and Application
This method covers the determination of parts per trillion {ppt) levels of total and
inorganic mercury in water, soils, sediment, and tissue (fish) samples. A method
detection limit of 0.3 ppt is obtainable for water samples at a precision of less than
5% relative standard deviation <%RSDt and in accuracy between 80 and 110%. The
concentrations of mercury in sediment and tissue samples are significantly higher than
in water samples and can be determined at bitter precision {< 5 %RSD| and accuracy
(90 to 110 %fl). Linear calibrations up to 1 part per million (pprn) can be obtained
and higher concentrations can be measured with dilution.
2.0 Summary of Method
Total and inorganic mercury concentrations are determined by Cold Vapor Atomic
Fluorescent Spectromttry (CVAFS). In this method, mercury in a liquid sample is
vaporized and stripped from the remaining liquid by a carrier gas (Argon!. A sheath
gas (also Argon) constrains the mercury vapor to a small stream as it passes by a light
source and photomultiplier tube. The mercury concentration is determined by atomic
fluorescence.
An PS Analytical (PSA) Merlin Plus mercury analysis system equipped with an
autosamplir, vapor generator, fluorescence detector and a PC-based integrator
package is used to detect total and inorganic mercury. The system is run according
to the manual provided by the manufacturer, except lower flow rates are used for the
carrier and sheath gases. Low detection levels of 0.3 ppt Hg in water samples are
obtained with flow ratts of 0.14 Umin and 0.125 Umin for the carrier and sheath
gases, respectively. For the higher concentrations of mercury detected in sediment
and tissue samples, flow rates of 0,35 Umin for the carrier gas and 0,2 L/min for the
sheath gas are used, To accurately regulate the gas flow for optimum conditions,
SERF installed an Omega model FMA-78P2 electronic mass flow controller in front of
the PSA Merlin Plus instrument.
Water sample preparation includes digestion by a brominatlng procedure to breakdown
at! mercury complexes. Sediment samples and tissue samples are digested with
concentrated nitric acid in sealed ampules, and subsequently autoclaved.
An NBS standard of 1000 f/g Hg/l is used and diluted to obtain the appropriate linear
standard curve. High standards of 10 ppt and 400 ppt are used for water/tissue and
sediment samples, respectively. NBS oyster tissue 60 ng/g (566a), NRCC dogfish
muscle 4,64 j/g/g IOQRM-2), MIST sediment nominal 50 #g/g (8407), and NIST
sediment 60 ng/g {8406) are used to check the accuracy of the tissue and sediment
results.
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Appendix A
Revision T
Date: 04/18/96
Page 3 of 14
3.0 Interferences
3,1 Matrix Interferences
To overcome matrix interferences due to organic substances in the water samples the
samples ara left in an ultraviolet cabinet for 12 hours. By digesting the water samples
with bromine afterward, any remaining mercury complexes including organomercury
compounds, sulphide complexes and complexes with organic material (e.g. fulvic
acids} are broken down. Additionally, acid digesting and autocfaving results in a
complete breakdown of mercury in the sediment and tissue samples.
3.2 Environmental Interferences
Mercury contamination at levels near the method detection limit is a consistent
problem as samples easily absorb mercury from the air and improperly cleaned
glassware. To minimize contamination, all technicians are required to wear surgical
vinyl gloves. In addition, all glassware, acids, reagents, etc. are stored in a mercury-
free clean room. The clean room contains a bank of laminar flow hoods equipped with
gold and charcoal filters. The floor is covered with flypaper to trap particulars.
Potential contamination in the clean room is checked weekly by monitoring acidified
U % HCU water samples, which are stored open inside the clean room. If significant
levels of mercury is detected in these samples (< 20 ppth then the source of the
mercury contamination is identified and eliminated. The gold and charcoal filters
within the laminar flow hoods are reconditioned if necessary.
Mercury-free DIW is produced by filtering tap water through a twiligan system
consisting of activated charcoal and two mixed bed ion exchange cartridges. This
water is piped to the clean room where is then passed through a Barnstead Mega-ohm
B Pure system. This system is fitted with two filters (Thermolyne: colloid/organic-
DG831, and ultrapure-DQSQiJ in line with a 0.22 micron pleated particle filter.
Mercury levels are not detectable (<0,1 pptJ in this water by both our laboratory and
by and independent laboratory analysis. This is the only water used for all analyses.
3.3 Laboratory Glassware and Sample Bottle Cleaning
Laboratory glassware is kept to a minimum, with Teflon bottles and beakers used
when passible. All reusable glass bottles, volumetric flasks, graduated cylinders, and
teflon beakers are dedicated to the preparation and storage of a specific reagent, and
are rinsed between usage with acid (0.5N HCl and 0.05N HNO3) and rinsed three
times with DIW. One volumetric flask is kept dedicated to making the primary
standard and is rinsed only with this standard. Glassware or plastic containers that
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have comt in contact with samples, such as ampules and scintillation vials are used
once then discarded.
Teflon sample bottles that have been used previously are rinsed three times with DIW
and filled with 1 % HCL After filling, t ml of mixed brominating agent is added for
every iO ml and the bottle is shaken, This mixture remains in the bottles until used
Prior to their use, 500 #1 of hydrexylamine hydrochloride is added to remove the free
bromine. The bottle and cap are then rinsed three times with DIW. Sediment cups
and 20 ml scintillation vials are non-reusable and discarded,
4.0 Safety Precautions
iromine vapors are tojcic; therefore, prepare the brorniniting agent beneath a hood.
Keep all containers with the brominating agent securely capped when moved or
stored. Neutralize sample bottles with hydroxylamina hydrochloride prior to their use.
Hydroxylamina hydrochloride is a skin and eye irritant and can cause dermatitis. A
face shield and gloves must bt worn when handling thii material.
The exhaust fumes from the atomic fluorescence spectrophotometer are toxic and
must be ducted away. The low pressure mercury discharge lamp used for
fluorescence determination emits intense U.V, radiation. This lamp must not be
viewed directly.
5.0 Apparatus and Materials
Analytical instrumentation includes an PSA Merlin Plus mercury analysis system
equipped with the following:
Autosampler Vapor Generator
Fluorescence Monitor IBM compatible computer system
In addition, an Omega model FMA-78P2 electronic mass flow controller is installed in
front of the PSA Merlin Plus instrument. All of the above equipment is stored beneath
a protective hood. All other standard laboratory equipment (Teflon beakers,
glassware, pi pets, etc.) is kept within the clean room and dedicated to mercury
analysis. A mercury-dedicated refrigerator, oven, and analytical balance are kept
within the clean room, Polyethylene scintillation vials (20 ml} with polypropylene caps
are used with the autosarnpler. Water samples suspected of low mercury
concentration are injected into the instrument manually from 125 ml teflon bottles.
A-4
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Additional equipment needed for sediment and tissue sample preparation include:
glass bottled blender autoclave
syringt oven
plastic specimen cups balance
10 ml ampules
6.0 Reagents
6.1 Bro mi nation Reagents
Q..1 . M .te|assii4m=lg:rjDjma|i
Heat 8,38i g KBr03 overnight in a glass scintillation vial IKimble 74511) at 250° C
+ /- 20° C in a furnace to remove mercury. After cooling dissolve the potassium
bromate in iOO ml of QIW and store in a borosilicate glass bottle with a Teflon cap,
Prepare Weekly.
Q.2 M Potassium Bromide
Heat 1 1 .9 g KBr overnight in a glass scintillation vial at 250* C + /- 20* C to remove
mercury. After cooling dissolve the potassium bromide in 100 mi of DIW and store
in a borosilicate glass bottle with a Teflon cap. Prepare weekly,
0.05 M PQWs^umMfOS^^^^^ - 0. 1 M PpjajSSium Bromate (KBrO3l
Mix equal volumes 1100 ml) of bromate and bromide in a borosilicate glass II 50 ml!
bottle with i Teflon cap. Prepare daily,
6.2 Hydroxylimine Hydrochloride
Dissolve 6 fl of NHjQH • HC1 in SO ml of OIW in a 60 ml Teflon bottle. Prepare weekly,
6.3 Stannous Chloride
Add 50 ml of 12 N HO to 40 g of Stannous Chloride (SnCI2S. Bring to 1000 ml with
DIW in a borostlicate glass bottle with a Teflon cap. Stannous chloride is purged of
any trices of mercury with argon gas continuously throughout the analysis. Prepare
fresh daily.
6,4 1 2 N Hydrochloric Acid
Concentrated HCI (12 N HGIJ is dispensed via a pipette or poured into a graduate
cylinder, either of which has been previously acid washed and rinsed three times with
DIW.
A-R
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6.1 16 N Nitric Acid
Concentrated Nitric acid (16 N> is dispensed through a pipet, which has betn
previously washed and rinsed three times with OIW,
6,6 Standards
Dus to its high concentration, primary stock standard is prepared and stored outside
of the mercury-free clean room. The primary stock standard is made by addition of
100 * of SEPEX (PLHG4-2X) (1000 ng/mil to 1000 ml of DiW with 10 ml of trace
metal grade HCI in a glass, volumetric flask with a ground glass stopper, This
standard is prepared daily. Secondary standards are prepared daily in 500 ml Teflon
bottles by adding concentrated HCI (5 mil to 495 ml of DiW. The primary stock is
brought into the clean room and 50 jil - 250 n\ (depending on final concentration of
10 ppt - iO ppt! is added to the bottles containing the water-acid mixture with a
pipit.
6.7 Standard Reference Material
Thi following standard reference materials are used to check the accuracy and
precision of the tissue and sediment digestion methods and analyses:
DORM-2 Dogfish muscle (NRCC)
556a Oyster tissue (NBS)
8406 Sediment (NIST)
1407 Sediment (MIST)
Thate standard reference materials are stored ind dried according to the Certificate
of Analysis accompanying each standard. The standards are digested following the
same procedures used for tissue ind sediment samples. They are prepared and
analyzed on a daily basis,
7,0 Calibration
A linear calibration curve Is run prior to each sample run. For low level water samples,
standards include 0, 2.5, 5 and 10 ppt. Standards run for tissue and sediment
samples include 0, 100, 250, and 400 ppt. All standards are run in replicate and
plotted using the software inherent to the instrument. Unear regression analysis Is
used to determine the bast-fit calibration line with a regression coefficient (r2} of
0,998 or better. Standard curves outside the acceptable limits are run again, and new
standards are prepared if necessary.
A-fi
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The sensitivity of the Merlin Plus System is such that a zero mercury concentration
results in a zero result. However, multiple dilutions of the source standard as required
to product the low standard of 2,5 ppt, often results in error, thereby producing a
standard curve that does not intercept the origin. Therefore, once the standard curie
is checked for linearity, a new linear calibration curve is recalculated using the hiah
standard and forcing the intercept through zero. Mercury concentrations in samples
art then determined by comparing sample peak heights to the new standard curve,
8.0 Quality Control
8.1 Method Detection Limit
The method detection limit (IVIDU of 0.3 ppt is determined for this method according
to the EPA procedure described in 40 CFR Part 136, Appendix Bf revision 1.11,
except that a value of 3 is used in place of the Student's T value. Specifically, seven
or more replicate samples containing a known, low concentration of mercury are
analyzed. The standard deviation of the replicate analysis is determined and the MDL
is computed as 3 times the standard deviation.
Tabla A.I
Method Detection Urnft
MatrU
Spited DIW
(DIW plus IP pi
Hg)
Sediment
Hi Concantrnion
Ipptt
2,315
2,093
2.216
2.167
2.290
2.QS3
2.118
84.30 ppto
8S.42 opb
82.44 ppb
81 ,32 ppb
84.30 ppb
82.44 ppb
§2,81 ppb
Mean
2.115
83,29 ppb
Standard
Deviation (S)
0.085
1,42 ppb
MDL » 3 x S
0.2,55
4.27 ppb
8.2 Precision
Precision is defined as the agreement or closeness of two or more results of the
same sample, and is determined in terms of percent relative standard deviation i%
RSD) using"the following equation:
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RSD =_£, * 100,
X
where, s and X represent the standard deviation and mean, respectively of two or
more remits of the same sample. The analytical precision of this method is
variable with more precise measurements obtained at higher mercury
concentrations,
Tabl. A.2
PrvdiJon
Matrix
Hf Concentration
%RSO
Watar
0.3 • 30 ppt
< 5%
Water
5 - 500
< i%
Water
1 • 1000 ppt
< i%
Slurry
1 ppt« 400 ppt
< 5%
Tissue Slurrv
1 ppt - 400 ppt
< 5%
8.3 Accuracy
Accuracy is defined as the agreement bitween the analytical results and the
known concentration. Accuracy is determined by running continuing calibration
itandards or by check standards and is determined as percent recovery (%RJ
according to the following equation:
-Observed Standard Cgjnjp.entration
Known Standard Concentration
1OO.
Instrument accuracy is determined on a daily basis by performing multiple analysis
(5 or mors repiicatesl of the high standard. Percent recoveries between 90 and
110% are obtained for water samples with a high standard of 10 ppt. For solid
and tissue samples with a high standard of 400 ppt, percent recoveries between
96 and 105% are obtained.
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Tafafa A,3
8.4 QC Checks
Calibration check samples are run in duplicate following at the beginning and after
every 10 samples. For solid and tissue samples, NIST or MBS standards are run
after every 20 samples, Accuracy for each of these calibration check samples and
standards must be within 90 to 110% or the samples must be run again,
8.0 Sample Collection, Preservation, and Handling
9,1 Water Samples
Water samples are collected In Teflon bottles. Collection is done while wearing
shoulder length polyethylene gloves over a pair of vinyl gloves. Surface water
samples are collected through a 105 j/m nylon screen via a vacuum system to
reduce the amount of sediment collected. Samples are double bagged in zip-lock
polyethylene bags and placed in a plastic ice chest/cooler used exclusively for low
level mercury samples. Samples are returned to the laboratory upon the same day
of sample collection and preserved In the mercury-free clean room with 0,5 ml of
trace metal grade HCI per 100 ml of sample. Sample analysis within 28 days is
recommended.
9.2 Sediment Samples
Sediment samples are collected in polyethylene specimen cups (Elkay non-sterile
wide mouth specimen cups with screw caps - 128 ml volumel and placed in
polyethylene zip-lock bags. All field samples are kept in a cooler used exclusively
for low level mercury samples until they are returned to the laboratory, where they
are stored in a freezer. Samples can be stored indefinitely within the freezer;
however, analysis within 28 days is recommended.
A-q
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9.3 Tissue Samples
Fish are collected with a dip net and stored in plastic bags for transport to the
laboratory- In the laboratory fish are stored within the freezer indefinitely;
however, analysis within 28 days is recommended.
10.0 Sample Extraction/Preparation
10.1 Water Samples
Water samples analyzed for inorganic mercury do not require additional sample
preparation prior to analysis, For analysis of total mercury, the samples are placed
in an ultraviolet cabinet for 12 hours, allowed to cool, then 2.5 ml of KBrQ3/KBr
solution is added to 121 ml of each water sample. The sample is left to brominate
for one hour in the Hg-free room; after which 500 jri of hydroxylamine
hydrochloride is added to the solution to inhibit further reaction. Samples are
permitted to settle for at least 10 minutes before analysis.
10.2 Soils and Sediment Samples
Preparation of soil/sediment samples is done outside the mercury-free room, due to
their high mercury concentrations. Soil/sediment samples are homogenized and
slurried in a glass bottle blender, A mixture of 120 cc of soil/sediment and SO mi
of DIW is blended for three minutes. With a syringe, 10 ml of the slurry is
collected for dry weight determination. Another 10 ml is pipetted into a
polyethylene specimen cup and diluted to §0 ml with DIW containing 5% HCI to
neutralize any carbonate contained in the sediments. The slurry is mixed well, then
1 ml of the slurry is transferred to a 10 ml ampule with 2 ml of concentrated nitric
acid (total volume in the ampule is 3 ml) and left to sit for 20 minutes. The
ampule is sealed and autoclaved for 1 hour at 105®C, The ampules are allowed to
cool completely to room temperature, ind then 0.5 ml of the ampule solution is
put into a 20 mi polyethylene scintillation vial containing 19.5 ml of DIW and 1 %
HCI for a dilution of 1:40.
The 10 ml of slurry collected for dry weight is weighed, dried in an oven overnight
at 80*6, and weighed again. Duplicate or triplicate samples are dried and weighed
until a constant weight is obtained. This constant weight is then divided by 10 to
obtain the dry weight of sediment within the original 1 ml extracted for analysis.
10.3 tissue Samples
Fish samples are prepared similar to soil/sediment samples, except that the initial
addition of HO to neutralize carbonates is not performed. For small fish (Gambusia
A.in
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sp.J, the entire fish is weighed, placed in ampules and digested. For large fish
Ibass and catfish), a stainless steel core tube, 4 mrn in diameter, is used to collect
three tissue plugs from the left fillet of each fish. Care is taken to collect muscle
tissut and not scales or bones. The three plugs are combined in a 10 ml ampule,
weighed, and digested according to the procedures described above In Section
10.2. The weight of the tissue sample that is digested and used for analysis is
usually between 0.3 g and 0.4 g.
11.0 Sample Cleanup and Separation
Additional sample cleanup and separation are not necessary to separate the
mercury from the sample matrix. The bromination process used for the water
samples results in a complete conversion of all organic forms of mercury to
mercury (II), In addition, the acidification followed by autoelaving the sediment
and tissue samples results in a complete digestion of the sample.
12,0 Sample Analysis
The PSA Merlin Plus Fluorescence detector is operated according to the
manufacturer specifications with the following modifications:
* An Omega model FMA-7882 mass flow controller with a channel
selector is installed at the front of the Instrument. This flow controller
is used to more accurately regulate the flow rates of the carrier and
sheath gases {both argon) while the flow controllers supplied with the
instrument on the hydride generator are open to full capacity. For low
level mercury in water samples, the optimum flow rates of the carrier
and sheath gases are 140 cc/min and 125 cc/min, respectively. For
high level mercury* such as in sediment and tissue samples, optimum
flow rates of the carrier and sheath gases are 350 cc/min and 200
cc/min, respectively,
* When analyzing water samples from 121 ml teflon bottles, the auto
sampler is removed and the switch box is modified to sip only from
the right sampling tube.
The procedure for sample analysis includes:
1. Tighten the peristaltic pump (pumps wash water, waste water,
sample and stannous chloride).
2. Turn on the wash water to the system
3. Turn on the computer
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4, Turn on the gas to the system. The argon (Zero grade* flows through
two gas purifiers (charcoal and gold! and a moisture trap before
reaching the instrument.
5. Tyrn on the line stabilizer/conditioner.
6, Check to make sure no tubes are crimped, and that flow is smooth in
all tubes before proceeding.
7, Check gas flow at the mass flow controller.
Note; For low level Hg-coneentrations the optimum level of the carrier
gas has been determined to be 140 cc/rnin while the sheath gas level
has been optimized at 125 ee/min. At higher Hg-eoneentraliens the
carrier gas is 3SO cc/min, and the sheath gas is 200 cc/min. The
membrane dryer gas flow rate is 1 i/min.
8, Allow the system to run on DIW for 1S minutes.
9. After 1S minutes switch the instrument to SnCI*.
10. Note: tht sensitivity dial on the instrument is run at highest sensitivity
for water but may be lowered for runnfng of sediment, soil and tissue
samples. This method is adequate for samples of the range we have
run to date.
11. When the instrument is ready, zero the fluorescence detector and run
acidified water (0 ppt» to check baseline response of the instrument
and guard against unexplained contamination from reagent
preparation. When peak height of D.I. is 0.0-0.3 the standards may
be run. Initially one high standard is run to test for consistency of
standard preparation and machine function. The range of standards
will reflect the concentration of samples to analyze. Eight standards
(four concentrations, two replicates! mm run for each standard curve.
Standards run for low level samples are 2.5, i, and 10 ppt.
Standards, blanks, and high level samples (generally fish, sediments
and soil) may be tun in plastic scintillation vials. Water samples for
total-Hg are digested and analyzed in 125 ml teflon bottles. Digested
acidified DIW water samples are analyzed along with the samples as
reagent blanks. This number is subtracted from sample values.
12, After running the standards, two samples of the 0 ppt (acidified
water) are analyzed before running the samples. Each 125 ml water
sample is analyzed at least three times. Tissue and sediment samples
are run in replicate. One run of fifty samples plus standards takes
approximately 2 hours and uses approximately 10 ml of SnCla per
sample. A new standard curve is run when the SnCl2 is replaced. In
addition to running a full set of standards at the beginning of the
analysis for each bottle of stannous chloride, a replicate of the highest
standard and zero ppt are run after every 10 samples.
A-12
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APPENDIX. B
Jonas Jacofason Jaffi, Waat-ThoniiS, Arfewom, ind All. 1934. Method Davetopment
of Water, Soil, and Tissyfl hir fhfl Amifsis of Total and Organm
Soictorn^ Watir, Air and Sol.
-------
Method Development and Sample Processing of
Water, Soil, and Tissue for the Analysis of Total
and Organic Mercury by Cold Vapor Atomic
Fluorescence Spectrometry
R 0 Jones1"", M.E, Jacobson1, R. Jaffa*3, J. West-Thomas', C. Arfstram'
and A. ^IIJ1-3
1 Southeast Environmental Research Program, 3 Department of Chemistry,
3 Drinking Water Research Center, * Department of Biological Sciences.
Florida International University, University Park, Miami, Florida 33199, USA.
(*««, »» m* Watoflic.1 flirt ti«Ml ««m*»I«.
'*'' «
fl.h ih.
. A W* ««., PS JiMlyited irtomic fhM».c.r*.
with .11 •u»i«npl.r. wpc.r ^MrMor, nuonw
u«d in th. d«wnln«i»n cf «m Hg. Th.
, of th.
«b.rt. Th. araa^c Hg compound, .r. duttd **th . «n.ll
to fhdW* . oigin.rn.murv W«« ** !^ *-d
.Kifectiori
Mupl»al with Mamie fluo«ic«fK* d««ut»rt,
1. Introduction
Mercury is a widely distributed pollutant in the aiwiranment and ha* gained
consldeiable toxicological concern in recent years. In some cases, the desired
quamtatior, levels of this metal challenge the detection l.mrts of *a
instrumentation md methods In current use (Swift and Campbell, 139J,
Kamroin and Kno*. 19921. This has certainly encouraeed t^udev^ophnie"lthQ*
sensitive reliable and precise methods for the analysis of HQ. Funher, the
oroanie forms of Hg, particularly methyl mercury
-------
ECDJ iRubi « at., 1S92; Q'Reillv, 1982J with or without pre-denVatiiation of
the organic mercury compounds T!w instrumentation and sample preparation
of the existing methods strongly limit the ultimate sensitivity and efforts to
lower the deletion limits have not b«tn entirety successful (Swift and
Campbell, 1933J. In addition, the ECO is an wseleoive detector ana the
column has to be tediously conditioned with large injections of HO (HI ehlondi
to alleviate poor ehromatographie response to organomercurials (Might and
Capar, 1984; Rwbi era*. 1932; Uthi etat.t 1972; Bryan and Ungston, 1992;
Bulska et at,, 1992L These disadvantages demonstrate ths need for the
development of new methods in this field.
TTiis papir describes atomic fhiorasoinee-basetf methods for analyzinfl
total Hfl and organic Hg compounds at tow part-per-trilian levels in
environmental and biological samples. Tha atomic fluorescence f AFSI method
SBtoom, 1989; AID era/., 19941 has become increasingly important compared
to CVAAS, since tht instnimentil detection limit of this mrthod is about 1
pieogram o*r less and at least one order of magnitude better than for CVAAS
(Undqvist, 1993J. Total H§ analysis involves thrwt srages: samplt digestion,
coid vapor generation arwJ atomic fluorescence detection.
in wattr samples, the difficulty in measuring MtHg and other
orsanonweurJals lies in concentrating these compounds from solution. This
work employs a sulfydryl cotton fibre medium (Lee and Mowrar, 19891 which
effectively adsorbs and prtconcentrates trace levels of organomercurials. The
orfanic Hg compounds are elutad with acMfc potassium bromidi ind ixtracted
into dichtorarnethana and subjecttid to GC analysis with APS detection, Sotl,
sedimtnt and tissue samples are treated with acidic potassium bromide and
copper sulfati, and extracted with dichloromethane. The initial extracts an
mybiicted to sodium thiosulfati* clean-up subsuqent to capillary gas
chromatography with atomic fluortscenca detection (AID et at.t 1994S.
2. Materials and Methods
2 1 SAMPLE COLLECTION AND PREPARATION *
Surfaci water samples art coltactid in 2 L Teflon {Nalgunei bottles using a
¥acuum system- Samplis are sertuned (IDS pn Nytex rutting! to prevent the
colltetion of large particles with tin watir samples. All tubhigs and fittings
used in the sampling system art constructed of tifton CSffiP. mtirnal SOP,
1994J The aamplts are collicwd by a 'dean person' using do«bl« gloves
(short vinyl gloves undur shouldar length polyethylene gloves, QaltTechl and
a double bagging technique, All samples am placed in rip-lock polyethylinB
bags fRsher Sdentificl. then in an additional plastic sampte bag and placed in
an icschest/coolir. In the eltan room, concentrated Hydrochloric aod» (wae«
metal grade. Fisher Sci»ntific> is added to tha wattr samples for preservation.
Surface, soil and sediment samples art collected using either a stainless
steel soadi, trowei or Eekman dredge. These samples are placed into wide
mouth polyethylene specimen c«ps C1 25 ml, fisher Scientific!. Subsurface soil
or sediment samples are collected in polycarbonate core tubes. Upon arrival to
the laboratory tha samples are immediately frozen to preserve their etiemical
samples are collected using a dip net, with the sampler wearing
two pairs of gloves. The fish are placed in tip-lock sample bags, labelled, and
stored in a cooler with ice for transport to the laboratory. Rsh samples remain
frozen until ready for analysis.
2 2 SAMPLE DIGESTION FOR TOTAL MERCURY DETERMINATION
Wat& Samples. Water samples are digested in a 125 mL teflon bottle w»th 1
-------
mL HQ and 2.5 mL potassium brnmati (ICBrQ^/potassium bramWa (KBrO)
niaum overnight tS»kles. a* *. 1380! Boom and fittgerald, 19881. These
caLta am pwpared and «m*hi «" capped bottle*! in the Hg-cltan room.
Prior to analysis, BOO jA. hydnneylaraine hydraehteride is added to destroy
excess bfomint awl the samplsi thoroughly shaken.
Sof mdS^anmt Ssmpfe. Soils (such as p*at, marts and marly peati are first
homoiinizBd by adding 30 to 10 mL of deionizid water and blended for 3
minutss to a uniform eonslstsncy with a blendur (QsuriierJ. From the
homogenized slurry I mL to diluted into 45 mL of Q.6N HO to neutralize' any
eartaonatas. In a diwn spiemwi cup. Of this mixture t rnL is placed in a 10 mL
anmuto with 2 mL of eon^ntrattd nroie acid WNO,L {trace mitaJ grade, Rshtr
SciintiflcJ. Vdesmic sisto are first siavid through a *8§ mesh stainless steal
sieve. In a' 10 mL ampuln, 0.5 g of the awwd sample '& dJgestBd with 1 mL of
0 6N HO wid 2 mL HMO* Olg«st»d soil and stdimant samples sir* taft to stand
under a fum» hood for 20 mtoutiw. The amputes are subseqyf ntiy sealed and
lutodavtd for 1 h at 1i1*C. Before amlysis the digestates are dilutad witft
0.12N Ha solution in a 20 rnL polyethylent vial.
ffsft SmipMs* To quantify total Hi in small fish « 0.4 9, < 30 mm in length!
tha entire flsh i« weighid and placed in 10 mL imputes and digested using 1
mL dtionilid water tnd 2 mL eonctntrated HNQ,* After sending 20 minutes
under a furfii hood, *e ampules are sealed and autoclav«d as described above.
For thi analysis of law fish (ipprosdmately 30 em or JongerS, 3 tissue plugs
(stainless steel core tube, 4 mm m diameter] are taken from the left side (using
only muscto tissue!, and combined to obtain a repws^itative sampla
{approximately 0.4 0). TH» samples ire fhftn processid as indicated above for
aoil and sadlment, , . * «,,
Thes« digerton procedyras result in the conversion of organic forms
of HO to inorganic m«ury |Hg"*l. The digested sampte are introduced to the
cold vapor generator, at which point tin Ctl} chloride is used TO effectively
reduce Inorganic mercury (Ha**! to its elemental gaseous form (Hg»J. pr
-------
Vapor Gmwatim. in th* continuous flow vapor pm" •V""*' JJJJJ
duced to HgCOI following *• addition °* «"» <**"••
^ped AMI the solution fin th* 1» hMd si^ratorl by
Then* 01 argon flow depends on whethir the analysts is
levels of Hg determination CP-S. Analytical, 1 §S2J.
£«nfc A.W«c» I*"*** A snoath gas (also argon* « used m
th* HS vapor through a chimney past a Hint source and a I**0™**'"'*
tetart itritfit anilas to ««h «l»r. VWth a sptdfic Woh «tf Hfl tamp
£4 iCaZd«»n Ltd, IMridgri and . M «4 ^
isolation of tf)i raqyired txdtation and tmission wavalnngths is
fl towl Hi analvsli ar« erf caitifiad ACS g«da «d
eomrmrdaUv from Rihv Sdintifle. urtaai «l«'w«|1^; *
Biwn systim OOCMM! in thi HgndMn mom! produce* afl cte.on.zad
wu«d ta mattiO UP »Q«w. ^^Pl- diflemm, calibration scions
^ solution and autlity control standards. This waur isfimfitoiid jtawoh
rSlidan wttim consisting of activated charcoal and twc > mmd INd .on
««hanga cMridgw btfart bring pfptd to ita Hfl-d»an mom. 0.1 N «rt^ 0^
N KfrO and 1-7 M hydroxyiamjnt hydroehlonds solutions are made up by
dissolving th« apppropriatB amount of tha sate to dttanind v«wr. The KBrOa
^dKbVO -2 ?Whi«d ovemignt In a gla*i vial at 25Q®C to «mov«
Tin diiistino solution is made up daily by mJ*hti equal votoas
OtN ICBrO, Id 0.2N KBrO aolutton.. AB iolution. are praparad
Itad cas.
o , . .
and stored in borosilfcate botdi* with ttflon Itad caps.
rZworidng standard. are prepared daiyfmm. Hi ^ck aoUta , «100
md dllutsd to thi dtsirtd concentration. Th« stock solution is also
SkvSS a commardany avaitabte mercury standart 1 1000 ugWL
Mu-iriN. idlson, NJI. Caltoration solutions ^r^^j" *»*
and stibiHttd by adding S mL concentrawd Hd. No i^
* for quality control of Hfl In wattr near yUratrace tovds.
60n8/fl 8406!
mittrial* for quality contro o fl n w
SSjfiilUJilu. 60n8/fl 8406! ^«~ « '"J'.
Tissyi!64 ng/gj quality control standards am obaM from tf»
Institute of Standards and Tachnotoev (Gaitntnsburo, MDJ.
ORGANIC MERCURY
f *S msw Ss^pte*. A 1.0-S.O g portion of the
d^Ttl is^ed in . 20 nil ***•*+*
*745t 1 ). To th* vial I mL distillsd water, 3.0 mL of 1 .0 M copper
S TmL of acidic potassium Imridi «*£ « jriM. Tta
shaken for t hr « 330 rpin (Gwotory »*" "J*Lg;
Dichloromtthant IS mU is added and *•!•**« "• A*-"** ILSef RC S
rpm and than centrifiiflid for 10 min at SOOO x fl in a S"""*""* "^
rSL «333726» and 1.0 WL of 0.01 H«^«"""£
mixture is shaken for 20 min at 330 rpm and centrtfuged at high
aSai cemrifu^ Tne a,uMus lay^O.S mU 1. J— « «
icrocantrifyoB tubt (Rsherbrand, Rsher SclsntiflcJ, a«J 0.3 rnL d =0.5 iM
dhMli and 0,3 mL dichloromathane ^f^^^S^tSSi
to 1 rnin on a Vortex Ganie mi*« and cwtnfugid for 2 mm at higrt
MB 74i" a) to a Herrnle centrifuge. The dichloramOTnan* Is ttansf^ad
0 i Si^mSii via. contaWng a law crys^ of ***"•-»"
Slohate^nd subjaetfld to GC analysis. Injections of 5.0 *L are us«l Sampte
sp fed with knZn concemrations of m«h¥. - and tthlyimrairy chlonde are
-------
the recovery factor ""^ *»
TM .ulfrdryKofteii (SFC) fibre columns »• made ** 1
containing 0.1 g of SFC fibre padwd loosely and as
SFC columns at. connect in stries ami the water
through tf»M bv vacuum. Q«* mL of acidic pota^unt
0 J wL of 1.0 U cow* sutftti are then pipetted on tfw surface
rbaiit and «• eluatt to eo!li«nd in a 2 mL micro-Centr,fu0» tubt
SdMHId. 71* H extracted with 0.2 mL «fehtemmi*ani on a VOTOM
for 1.S min and cantrtfuged as dsscfibed above, The
thin translerrtd to a 2 mL glass lamptafl viiJ
of anhydrous sodium suifate and subjected to GC
analysis.
2 i INSTRUMENTATION AND ANALYSIS
A Ichmtte diagraiti of «• GC-AFS systtn, used in *is work . shown »
Rgure I and the optimum oparatlno conditions art summarized m Tabla ILA
Gas
atosraphtc-Atomic Huorescenct Spectrametric Systim,
"i oLvwn mp. 3: Mercury «p, 4; Moteluri trap 5,
: lr*cw, 7: Colymn, 8: Priss^fit union, 3: Pyrolyset, 10.
O-SSmm Ld. It." Ttflon unions, 12; Teflon wansftr
Atomic Ruonscence ditactor. 1 4: E^b ehnnmonphic
systim, IS: yellow controJter-ChanniJ A mate-
up, Chamtal B sheath pas.
HewJett-Pakard
58SO Series 111 gas chramatograph coupled wi* an HP
sampler is UNO. A fy.ed-sito, bonded phase
n 5 m K 0.53 mm i,d., 1 ^n non-poiar DB-1 conno. J * W
andi spiitl«« inieetio. mode i. empbwd. The effiuem from the
-------
column is led thrown a pyroivstr (PA Analytical Ltd.,
tha GC ovwi Jdi « pea* a* 65 cm length ef diaettvattd
id J & W Scientific!, which is conrwemtt to tha column with a glast prts*
fff" union P & W SewfWffieJ. Tht Hfl items fornmd in the pyratysis ynrt we
transferred from Ha outint end of tha deactivated fused-siEca tubing to the
ftuomsrainen dettctor (teflon transfer lint, 0.5 mm i.d.. AHtteh AsncMtas).
Thi trwsfsr linn is passed through a small hate on the top of th*i GC own to
a Mirfin Mtfcurv Ryorsscance Detector, and the connietions we made VM
teflon unions,
Gas chmmatograpfa*
Injector temperature 250^0
Temperaaire program 1 mm at 40«C 60eC/min to 1 40°C,
P 3 min at 1 40°C» 50°Dmin to 200°a
lOminatlOCPC,
P^olysw tempiraturt 800°C
Column flow 4-° mL/min
Make-up flow ®5 mUmin
Atomic fluorescence system
Shiath gas flow 300 mL/min
.
Calibration rang* 1 000 (most stnsmval
Rni §ain 10 (maximuml
Raeorder ouffut voltago IV
Damping switch 0°
If or signaJ smoothing)
A r«al tfanw chromatographle conrtrol and data acquisition system (E-Labr
Vtatan 4.10R, QMS TECH. INC.! Is «tirfae*J with the CSC md AFS deticw
avst«m in thb wortc tht dwtction Bmit is definid ai the amount of Hg
mmsarv to giva a peak arta equal to thres times tni standard deviition of
te«rSroia^sS'aTLppned by Liquid Carbonic Speciality Gases and anof
zero orade quality, Halium (i3,995%! is yst d as ttt» carmr gas CGQ. passed
an o^an wap, then trough a Hg trap **********
rior to die GC. Argon (3S.iS8%J to employtd ai tt»
heath gai for tht GC-AFS tyttw i«J to also payed
mu. HB traps before urn to flow is regul^d by » rwltow
cooler (Omegal enyipptd with two ehanntls, diannul A (rnaka^ ftowl and
channel B (sheath gas flow, aw Bgyre 1), ««™ j.
iwfs. Double dHonHed watir produetd bv a Barwwad B^™^^5^1
in aH so lutbna. Certifierf ACS grade potassium bromU^ «pp«r«I» sulfm
*<»} chloridt and sodium ttiimuHatt (fisher Sciwtitei «ua«d
throyghout this work, The acidic potissium bromide •***"***"'**'
dtoaoMng 1TO g in 200 mL water. Trace m0uU gr.de ememmmd sulptanc
SsO mL fisher Scientific! is added to 100 mL of watw. After eootog to
room timperttura the solutions am mixed and made yp to 1 L
Copper su^att (1.0 ML copper chloride (0.5 Ml and ssdium *
Ml solutions art prepared by dissolving appropriate amoyfitt
water. All solutions are eirtracted with dichtoromethana iprior to «""•
^nM Ai Hi standards am purchased from Ultra Sdentrfte. Stock stwdard
rf mXl. and ethylnwcwy cMorid. are ^
appropriatt amount* of the standards In optima grade
-------
ttcl. Thus! solution* am stored in dark brown bottles aid diluted with
dichlorometnane to give woridno standards of the desired concentrations whan
e (SHQ fiber sdsorf«»f. This synthesis follows the
procedure us«d by L»* and Mowrer (l9Sa|. A mixture is first preparid by
addino the foJtewiriB reagents in sequence to round bottom flaslc 100 » rat
thioojyeoie add, 60 mL acetic anhydride, 40 mL acetic acid (36%t and 0.30
mL eoncemratid suJfurie add, Tha mixture is allowed to cool to 45 C» then 30
a erf cotton wool art addid and alowneJ to soak thorouohly '« tile mixture. The
reaction bottle m placed in an own for 3 to 4 days at 4CJ°C then the product
it placed
-------
Tabla Hi. Precision, rtcnvwy and method detection Unite for
and organic Hg.
. total
Analyta
^mmiir****^^****^
Inorganic Hg
•ri^
Total Hg
•111- '"™
Total Hg
Total Hg
Organic Hg
(MeHg*.
— ...mrnii.ni-
Matrix
Water
Water
Tissue INBS
oyster tissue
1i66a 84
ng/gj
Soils,
sediments
WIST
sediment
840660
no/fll
Water
_.
Soils,
sediments,
tissue
PfBGBlOn
[%RSD)
^s
^.5
-------
.t
netM SHC fiber ba« a WQh td«tiviW tar organic mercury compounds, it
avoids th* txtreetion of mxmmms compound which causes sawra
*™ obtained using the calibration curves generated
daily Ttw (dttoridfa of n»ithv»- and frthvlmercwv ara ustd « craate the
standard deration curves txpressid in terms of p«ak aisa v*
tarid, coi««trati«i (pg HgM |i injectionl. Thi . i^tanv
of «• «3naJ to a 2 PO Hg/5 ^L standard was 1 .5%
JH-3K The linear range usid for the sineratton of
eaibration e«ve» ta 0 and
Rttantlon tfm«
of pure organic
standards on new
, EM: 1238.6 pi HB/ll
4 Da Ho/nL and the toiar correlation coefficients am typically 0.9S8 and
0 ve
chtonde
this «Iue is influenced by differences
aftect the pwtUonino °* wganic Hg compoynds. Further
wninition |%R) to ividen«d by tht lack of offoal
(for organic Hg analysis) and the «rr«nt n.ed for .
standardis).
-------
4. Conclusion
ampule digestion of inwranmumal and biological samples tor
described In ttiH ink* b I relatively « J""**1
of 9S - 105% recovery of Ho8, Oiissiton of «
« s«Hed tO mL ampule is a dim arid «
far Ha dottrmiMtion. Whan thate samples an aotodawd
tek wry taty » <•« sample. aollibl. for AFS ds
vassal dioestion foltowwd by cold vapor generation and atomic
dMKrion hw yliWtd dtwctioo limits that allow tf» quantifl^iioii of
levels of Ha hi wawr sarnplas. Th« preparatton tadiniquas and use of an
dean room Navi mad* It possibls to fidyc* signifirantfy conamHiat.oii of
^ ^ of orflanic H§ by GC, sample
bacoma adsor bad or bound to the stationary phase of thi colymn aftar vanous
Wertions, exerting i negative aftaet on thi tfficieriey of *• analysb. With a
Sck^a«ion MP. dim torftr«iCBS can be e
ramoMd, alowing efficient analysis of the oroaromerairials. In water
the omanic Hg compounds can to tffleientiy pr«eorKirittat»d OIMO
fltar which also providt a sample ctoaimp. Th* column Bfe
oSuSSt to^«r «** ** d«frUP •"•» OTd CT" bl USid FOUtinfll¥ fW
analysis of orianomercurials with no apparent to,ss »i rfficiency.
Acknowledgements
Thk study was supported by tiw National Park Strviee (Everglades National
Park* and th» United Status Eftvilronrnartal Prowction Agency throuflh
cooptfative agretment (AI 280-1 -SO 181.
Rafftrencos
F%*MIi mmf «»™«i-~* »™
n~^_ A * - l»B9 Cffi. J, Artu Aqu*t. Sa ••!.
•SZ: H £ atTilSL.U W. F.: Itti^t CM* M 501. Itl-IK.
SyaKi^Rtsrsss^-M.
c
?•
a. ^ a. •.
U7-1S6.
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Appendix C
Rwision 1
Date: 11/1997
Page 1 of 10
APPENDIX C
Standard Operating Procedures for Total and Inorganic Mercury Analysis in
Water, Sediment and Tissue
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Appendix C
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Page 2 of 10
STANDARD OPERATING PROCEDURES FOR TOTAL AND INORGANIC MERCURY
ANALYSIS IN WATER, SEDIMENT AND flSSCE
Southeast Environmental Research Program,
Florida International University
University Park
Mi ami, Florida 33199
Version 10, November 19, 1997
C Previous versions written July 27, 1993; September 13, 1993;
S€f»t«mfo@r 21, 1993; November 4, 1993; April 1, 1994; April 18,
1994; May 20, 1994; April 18, 1996; and September 15,1997.)
C-2
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Appends C
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Page 3 erf 10
MERCURY
COLLECTION AND STORAGE
Water samples are collected in Teflon (FEP) bottles. Collection of samples is done
using vinyl double gloves (Polyethylene shoulder length PPE glove, QakTeeh) bagging
technique. Samples are then placed in zip-Jock polyethylene bags, then placed in an
additional plastic sample bag in a plastic ice chest/cooler. In the laboratory 10 ml of trace
metal grade HCI is added to preserve samples. These additions are done in an Hg-ciean
room {described below). Soil samples are collected in polyethylene specimen cups (Elkay
non-sterile wide mouth specimen cups with screw caps - 128 ml volume) and placed in
pQlyetihylerte zip-lock bags, All field samples are kept in a cooler until they are returned to
the laboratory. These coolers are used eseeJusively tor low level Hg samples-
Acidified water samples may be stored in Teflon (Nalgene FEP) bottles in the Hg-
free room or refrigerator, Refrigeration at 2°C and freezing at -2Q°C are used for storage of
low tevel Hg samples. Teflon (FEP) bottles and storage of water samptes in an Hg-elean
room or refrigerator is recommended.
Water samples in Polyetiiyiene (Nalgene LDPE) bottles stored in the Bg-dean room
show high accumulation of Hg (refrigerator stored sample® show minor accumulation of Hg)
and cannot be used for storage of low level Hg samptes, The plastic leaches mercury into
the samples. This effect is facilitated by acid washing, Mercury accumulated in acid washed
bottles to approximately 70-80 ppt with accumulation in non-swashed bottJes at 15 ppt in 30
days. Samples having higher levels of mercury (sediment and tissue), storage vessel type
is not as critical,
ANALYTICAL METHODS
CLEAN ROOM
All glassware, acids, reagents, etc, are stored in the Hg-clean room. It is equipped
with a bank of laminar flow hoods, a separate water supply and gold-charcoal filter
apparatus, refrigeration unit drying oven, analytical balance, and a "flypaper" covered floor
which is changed when needed,
Contamination is checked weekly by monitoring acidified (t% HCI) replicate water
samples which are stored open in tie Hg-dean room. Date on ttiis quality contonol
monitoring is stored both as an Excel file on computer and as had ropy in a data notebook.
If significant levels of Hg are found (>20 ppt) fhe source of contamination will be located
and if necessary, gold and charcoal filters will be reconditioned.
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Appendix C
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CLEANING PROCEDURES
Teflon bottles which have been previously used for samples are rinsed three times
with DIW and filled witti 125 ml of 1 % HCI, To this, 1 ml of mixed brominating agent (see
reagent section for preparation) for every 50 ml erf acid water is added and the bottle is
shaken, This miindtyre remains in the bottles until it is used. Prior to using these bottles 500
jjl of hydrt»cylamine nydrochloride is added to remove all free bromine. The bottle, bottle
fnouiii and cap are then rinsed three times in DIW. Reusable teflon bottles (used for
standards) are not rinsed.
Reusable laboratory glassware (graduating cylinders) are rinsed three times with
DIW, The volumetric flask used for making up the primary standard, and reagent storage
bottles are not rinsed.
Sediment cups, 20 ml scintillation vials (both plastic and glass) are non-reusabJe
and discarded.
WATER SAMPLE PREPARATION FOR Hg ANALYSIS
Water samples may be analyzed for inorganic Hg and for total Hg. For inorganic Hg
analysis samples are acidified as mentioned above and are then ready for analysis,
Samples to be analyzed for total mercury are prepared using the following reagents:
REAGENTS
1) Mercury-free Water
Tap water is first filtered through a Culligan system consisting of activated charcoal
and two mixed bed ion exchange cartridges and then piped to the mercury-clean room. It is
then passed through a Bamstead Mega-ohm B Pure system. This system is fitted with two
fitters (Ttiermolvne; colloid/organic-D0835, and ultrapure-DQ8Q9) in line with A 0,22 micron
pleated particle filter. Mercury levels are not detectable by both our methods and
independent laboratory analysis {<0.1 ppt). The only water available for use in the Hg
laboratory is (his Hg-free water. All reference to DIW in Biis SOP should be assumed to be
Hg-free water as described above.
2) Bromination reagents;
0,1 M Potassium Brornate:
Heat 8.385 g KBrOa overnight in a glass scintillation vial (IQmble 74511) at 250°C ± 20°C in
a furnace to remove mercury. After cooling dissolve the potassium bromate in 500 ml of
deionized water and store in a borosilicate bottle. Prepare weekly.
0,2 M Potassium Bromide:
Heat 11.9 g KBr overnight in a glass scintillation vial at 250°C ± 20°C to remove mercury.
After cooling dissolve the potassium bromide in 500 ml of deionized water and store in a
C-4
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Appendix C
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Page 5 of 10
borostlicate bottle. Prepare weekly.
0,05 M Potassium Bromide (KBr): 0.1 M Potassium Bromate (KBrOa)
Mix equal volumes (100 mi) of bromate and bromide in a 150 ml screw cap teflon
borosilieate bottle. Prepare daily,
3) Hydroxyfamine Hydrochloric!©
Dissolve 6.0 g of NH20H.HCI in 50 ml of deiooized water in a 60 ml teflon bottle. Prepare
weekly,
4} Slannous Chloride: To 40 g of Stannous Chloride (SnCb) add 50 ml of 12 N HCI. Bring
to 2000 ml using Hg-free deionized water in a borosilieate glass bottle. Prepare daily. The
stannous chloride is made Hg-free by purging it with argon for 20 minutes before running
samples. Thereafter, the purging continues throughout fm entire analysis.
5) 12 N HCI: Concentrated HCI (12 N HCI) is poured into a graduate cylinder which has
been previously add washed and rinsed three times wifri DIW.
6) Wash water 150 ml of concentrated HCI (12N HO) is added to 15 L of DIW in a 15 L
teflon bottle (Nalgene lowboy) and shaken.
DIGESTION OF WATER SAMPLES
Samples are placed in an ultraviolet cabinet for 12 hours, allowed to cool, and tften
brominated for one tour in the Hg-ctean room, 125 ml of acidified sample (0.625 ml 12 N
HCI is added to each 125 ml sample) is brominated by adding 2.5 nil KBrOafKBr mixed
reagent {as described above, Reagents section #2} to each sample bottle. Then, 500 pi of
hydroxylamine hydroch bride is added to the solution to inhibit further reaction. Samples
are permitted to for at least 10 min before analysis.
SOILS AND SEDIMENTS (CARBONATE AND CLASTIC)
Preparation of soil and sediment samples is done outside tie Hg-dean room.
Sediment samples are homogenized and slurried using a glass bottled btender {which is
cleaned in between samples by rinsing three times with tap water), 120 mi of sediment is
slurried with 50 ml of distilled water. This mixture is then blended for 3 minutes. Using a
syringe, 10 ml of slurry are removed, placed in a polyethylene specimen cup and diluted by
adding 40 ml of 5% HCI (The HCI acts to neutralize carbonate sediments prior to digestion.
It is necessary to prevent a violent reaction when the ampule is subsequently sealed and
autoclaved). After mixing, 1 ml of this solution is transferred to a 10 ml ampule using a
1000 cc syringe (with the tip cut off). Nitric acid {2 ml cone, HNOs) is added to the ampule
which is left to stand for 20 minutes. The ampule is then sealed and autodaved for 1 hr at
105°C. Ampules must be cooled completely before further processing.
c-5
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Appendix C
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To process ampule contents, pipette 0,5 ml erf the digested solution into a 20 ml
polyethylene scintillation vial (Klmbie # 58504) containing 20 0 ml of 0.12 N HCI solution.
PLANT AND ANIMAL TISSUES
Animal and plant are treated the same as sediments. Initial dilutions of
tromogenate vary with the type of tissue. In addition tie HCI step used to neutralize
carbonates is not used for tissue analysis. For small fish {such as Gambusia), the entire
fish is weighed, placed in ampules and digested as for sediments. For targe fish (bass and
catfish), using a stainless steel core tube, three 4 mm cores (without or bones) from
the left fillet are combined and weighed. The cores are weighed in 10 ml ampules and
digested as above for sediments. The weight of tissue sample that is used for analysis is
usually between 0.3 g and 0.4 g. Tissue samples weighing more than 0.4 g tend to explode
the ampules in the autoclave.
DIGESTION OF STANDARD REFERENCE MATERIAL AND SPIKED MATERIAL
A series of method have been run both with spiked tissue, spiked sediment,
and NBS or NIST certified samples to test for digestion efficiency. NBS oyster tissue
(566a), NRCG dogfish muscle (DORM-2), NIST sediment nominal 50 ^g (8407) and 60
jjg/g (8406) were used in these tests. In addition, a sample of certified material is digested
and run with each analysis of tissue or sediment Digestion efficiency is between 98-102%
in all cases.
SAMPLE STORAGE AFTER PREPARATION
Sediment, and tissue samples may be stored in Ihe sealed ampules for an indefinite
period after they have been autoclaved.
STANDARD PREPARATION
All preparation and storage of working standards is done in a Hg-etean room.
Secondary standard is prepared and stored outside tie Hg-cJean room (because of its high
Hg concentration). The primary stock standard is made by addition of 100 pi of NBS
certified secondary Hg standard (SEPEX PLHG4-2X) (1000 \jglm\) to deionked water plus
10 ml of trace metal grade HCI, and made up to 1 L in a 1000 ml flask, This standard is
prepared daily. Working standards are made in 500 ml teflon (FEP) bottles. For each
working standard, concentrated HCI (5 ml} is added to 495 ml of deionized water When
acids and brominating agents are added, the external laboratory hood is turned on creating
a negative pressure in the area where acid addition is being done. The primary stock is
then brought into the Hg-dean room and depending on final concentration, the required
amount of primary stock is added to the bottles containing the water-acid mixture. Working
C-6
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Appendix C
Revision 1
Date; 11/19/97
Page? of 10
standards mm made up daily.
The working standard used for low level Bo-concentration (e.g. water samples) are
0, 2.5. 5 and 10 ppt. In the 500 mi acid-water mixture, 0, 12.5, 25 and 50 ^1 of the stock are
used respectively. The 5 ppt standard is used as the continuing calibration standard and
the 1 ppt is run as a low level check, All pipettes, micropipettes and pipette tips are
calibration checked before use, using an analytical balance, The temperature of the clean
room is approximate 21 °C.
Secondary standards used for tissue and sediment analysis are 0, 100, 250 and 400 ppt.
These required standards are made up in the 500 ml acid-water mixture, using 0, 0.5. 1.25
and 2.0 ml of the secondary standard respectively. The 250 ppt standard is used as the
continuing calibration standard while the 100 ppt is run as a low level check .
ANALYTICAL INSTRUMENTAL TECHNIQUE
Cold Vapor Atomic Fluorescence Spectrometry (CVAFS) is the method used for Hg
determination. The system used is a PSA Merlin Plus supplied by Qoestron corporation,
Princeton, New Jersey 08543. This system contains an autesanrtpler, vapor generator,
fluorescence monitor, and an IBM-compatible computer system as tie electronic data
interface. In the CVAFS method, SnCh is mixed with the liquid sample fed by the auto
sampler, which then enters a gas liquid fritted separator. The sample flows ttirough
peristaltic pump tubing. As mercury enters the vapor phase it is stripped and carried along
a gas stream (Argon- Zero grade) to the detector. Tha method detection limit (MDL) is
approximately 0,255 ppt (S.D X 3}, Baseline noise translates into variation of between
0 087-0,185 ppt.
Modifications to the apparatus are:
1} The pump in the hydride generator has been changed to a peristaltic pump.
2) Modification of the computer output using Excel to permit more accurate representation
of tire peak height data,
3} An Omega model FMA-7882 mass flow controller wJth a channel selector is installed at
the front of the instrument. This flow controller is used to more accurately regulate flow
of the carrier and sheath gas, while the flow controllers on the hydride generator are
open to full capacity.
Procedure for operating the instrument
1) Tighten the peristaltic pump (pumps wash water, waste water, sample, and stannous
chloride),
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Appendix C
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Page 8 erf 10
2) Turn on the wash water to the system,
3) Tun on the computer,
4) Turn on the gas to the system. The argon (Zero grade) flow© through two gas purifiers
(charcoal and gold) before reaching the instrument,
5) Turn on the line stabilizer/conditioner,
6) Check to make sure no tubes are crimpeci, and that flow is smooth in all tubes before
proceeding,
7) Check gas flow at the mass flow controller,
Note: For low level Hg-coneentrations tie optimum level of the carrier gas has been
determined to be 0,14 L/min, while the sheath gas level has been optimized at 0,125 Umin.
At higher Hg<»ncentrations the carrier gas is 0.35 Umin, and the sheath gas is 0.2 L/min,
8) Allow the system to run on DlW for 15 minutes.
9) After 15 minutes switch the instrument to SnCb.
10) Note: the sensitivity dial on the instrument is run at highest sensitivity for water but may
be lowered for running of sediment, soil and tissue samples. This method is adequate for
samptes of the range we have run to date,
11} When the instrument is ready, zero the fluorescence detector and run acidified water (0
ppt) to check baseline response of the instrument and guard against unexplained
contamination from reagent preparation. When peak height of DIW is
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Appendix C
Revision 1
Date: 11H9S7
Page 9 of 10
and b represents the contamination by water. The mercury concentration is then obtained
from the standard curve.
Ail reagent blanks are made up to a final volume of 125 ml, The slope obtained from this
curve give the concentration of mercury in the reagents. This number is subtracted from
sample values,
12) Standards, blanks, and high level samples (generally fish, sediments and soil) may be
run in plastic scintillation vials. Water samples for total-Hg are digested and analyzed in
125 ml teflon bottles. Each 125 ml water sample is analyzed at least three times. Tissue
and sediment samples are run in replicate. When using the autosampfer, fifty samples
including standards takes approximately 2-1/2 hours. Each sample uses 10 mf of SnCb per
sample. A new standard curve is run when the SnClaX In addition to running a full set of
standards at the beginning of tie analysis for each bottle of stannous chloride, a replicate
of the highest standard and zero ppt are run after every 10 samples,
Note: When sampling from 125 ml teflon bottles, the auto sampler tray is removed and the
connections are modified to sample only from the right sampling tube. This is done by
disconnecting the right (internal) sampling tube as well as the corresponding tube to the
hydride generator and replaced with a longer teflon tube tiat directly connects the sampling
tube to the hydride generator. After every 12 analyses and at the end of the run, the mid-
level and 0 ppt standards are analyzed in duplicate.
Instrument Shutdown:
1) If you are using the results directly from the company supplied computer program, make
sure you have printed and/or saved results, This program does not reliably transfer files to
ascii or Excel although it has functions for these tasks,
2) Replace the SnCb solution with DIW and flush the insttumerrt for 5 minutes.
3) Turn off the wash water,
4) Run ttie pump until no more liquid is present in the pump tubing,
5) Turn off the gas.
6} Turn off the line stabilizer and the computer.
7) Release tubing in the Hydride generator and peristaltic pump.
8} Check ttre waste water container and empty if necessary.
Computer Procedure:
1) Choose LIBRARY, press select to choose methods and to see methods stored.
2) For ANALYSIS choose "analyze", "batch". Specify batch (sample) size. The computer
will ask you whether ttre sample tray is in position and if you wish to change the sample
fray. If you respond "NO" twice, the instrument will then align the sample tray to the run you
have specified. It will then be necessary to return to the analyze menu and check batch
etc. you may then respond "YES" to the questions about tray position. This response will
C-9
-------
Appendix C
Revision 1
Date: 11/19/97
Page 10 of 10
initiate the run. The instalment will analyze 50 samples. If you have more than 50 samples
you must re-select analyze and you can choose a reference number which reflects the
actual number of sampfes you are running.
3) To run standards, "CALIBRATION" then select new curve.
DATA TRANSFER
We do not find the program supplied with the CVAFS for our needs.
Specifically, the curve fitting function is not adequate for low level samples {< 1 ppi). We
therefore after printing results from the machine, save the as an asd file and transfer it
into an spreadsheet
DATA HANDLING
For wafer samples, during each run a sample is spiked with 1 ppt mercury concentration,
The mercury concentration of the sample is then subtracted from the mercury concentration
of the spiked sample. Fish and soil samples are not spiked for total mercury analysis and
the recovery is determined by using NIST reference materials,
THE STANDARD CURVE
Currently the NIST standard available for Hg is 1000 (ig/ml. With appropriate dilutions,
standards can be made reproducible to 10 ppt using standard dilution and pipetting
procedures. The intercept location in the standard curve calculation becomes critical to
proper calculation of concentrations. We have found that the most reliable and
reproducible results are generated by running a set of standard pind then checking if the
standard regression is acceptable {linear coefficient >0,S8). f tie'regression coefficient is
acceptable and the mid-level continuing standards are ± 10% of the expected value, the
curve is dropped parallel through the origin. The peak height units for each sample are
then compared to this new curve to determine Hg concentration. This method is used for
water samples and has also been found to be comparable to traditional estimating
procedures used in sediment, soil and tissue analysis.
All data is printed as hard copy and stored on computer disks. We maintain a back-up
copy for each disk.
C-10
-------
APPENDIX D
Laboratory Documentation (Sample Prep Logs, Analytical Analysis, Standard
Curves, Sample Calculations) for Water, Sediment, and Tissue Samples
-------
1 PREPARATION Of SIDIMiNT SAMPLES FOR ORGANIC MBlCUW ANALYSIS
NBTM of project
TedYUQift:
Sample
No.
CupW!
ft)
WogWof
we*»ed.f^
Weight o* dry
9Cd. *eup
We^Mof
(toy sad,.
Rabooi
No, erf sample*
Date of Xknatysis
SOP m Date:
Bend I25ce of sal with DJ water.
Date Tme Wl
Wagh 5fnL of aiurry and % m dynng
oven a( 60' C owinigrit
Date Time Irm
Take out mm and itowte coot
Date TRM In*
Weigri dry teofawrt
Date Tim* In*
-------
Table 2. PRE-TREATMENT FOH SEDIMENT ORGAHQMERCTOlf ANALYSIS
Samples:
Technican
Number of samples:
Data:
f
2nd.
Ref
Samp. No
W.S
1st
v
2nd
Ref
Please do not forget reference stardand.
-------
SC-RESULTS FOR
GC rile nane:
CC analysis date:
ANALYSIS
Pr*treata»nt Dtta:
-------
SOUTHEAST ENVIRONMENTAL RESEARCH PROGRAM
ORGANIC MERCURY ANALYSIS
DATA INTEGRATION
Name of pro tec
Technician:
SAMPLE ID
t:
FILE NAME
!
No, of samples:
Dale of analysis
METHYL Hq
Aulo int. Manual tfil,
ETHYL Hg
uto int. Manual iru.
-------
Sample source:
Technican:
Sample numbers:
Prep. Oate:
Reference Stardands:
amount of 5Pi/uI m^td stardand added-
amount of CH2CI2 added:
-------
SOUTHEAST ENVmQNMiNTAL RiSEARCH PHQGBAM
TOTAL MEBCUHY ANALYSIS
NAME OF PROJECT:
DATE OF ANALYSIS:
TECHNICIAN:
MATRIX:
REF. *
SAMPLE ID
DILUTION
COMMENTS
-------
SOUTHEAST BJVIHONMOITAL RESEARCH PRQGfiAM
TOTAL MERCURY IN WATS
9 AND REVISION DATE.
NAME OF PROJECT:,
DATE OF PREPARATION:
DATE OF ANALYSIS,
TECHNICIAN:
REF *
A
^F
^^
^^
SAMPLE 101
BOTTLE #
DESCRIPTION
DIGESTION PROCEDURE
Split water samples into I25ml_ teflon battles
and acidify with QJ25mL 12N HCI, Then place
the samples in ihe ultraviolet caOinet for 12 h.
allow 10 cool. Ihen brominate for 1 h
REAGENTS:
Weigh out 8,3&5g at KBrQ3 and 1 V9q of KBr
Heat overnight «n a muWc furnace at 2SD'C,
Date Time Inrt.
Take out of muffle furnace and allow to cool
Date Time init.
Dissolve each reagent in 001 water and make
yp to a final volume of SOOmL. Store reagents in
borosilicaie Dottles and they last for 1 week,
Dale Time Init.
Mix equit vol. C100mi) of KBrOa and KBr reagents are
and store in a boroalicate totUe. Mate (his daiiy
Date Time Init.
Dissolve I2g Of hydroxytammme hydroctilonde
in irjQmL 001 water, ftAake this weekly
and stare in a borosilicate bottle.
Oate Time Init.
Add Z5mt of mixed reagent io each
sample and digest for t h.
Date Time Init,
After digesting for 1h add 0.5 mL hydraxylamme
hydrochlonde to each sample.
-------
SOUTHEAST EIWIRONMENTAL RE^ARCH PROGRAM
TOTAL MERCURY \H FfSH
RB/IS1QN DATE
NAME OF PROJECT:
OF PREPARATION:
:CHNIC1AN:
*MPLEID' JWT OFFiSHlSEX~
LENGTH
COMMENTS
DIGESTION PROCEDURE
Determine ite length and sex of
fisft and weigti in a 10mL glass
ampule.
Date
Time (nit.
Add 1ml_ of DDI water in 2mL
eonc, HNO3, Leave for 20 mm.
undef the fiood. Then seal.
Dale
'Time
Init,
Place in autoclave in a water-
laih for 1 Nourai 10S'C.
Datt Time Init,
Date of analysis:
Date Time Intt.
-------
SOUTHEAST ENVIRONMENTAL RESEARCH PRQGfiAM
TOTAL MERCURY IN SOIL
SOP No, AND REVISION DATE.
DATE GF PREPARATION: ,
TECHNICIAN:
SAMPLE
DESCRIPTION
CUP WT |WET WT. 1 DRY
NAME OF PROJECT
DIGESTION PROCEDURE.
Blend "125 cc of soil win 01
water Add 4SmL of O.SN HC1
to SnriL of slurry and leave for th.
Date
Time
Inrt.
Take tint of acidified sluny and
pipetle into a 10mL glass ampute
Add 2mL cone. HNQa, Leave
for 20 mirt under ihe hood.
Dale
Time
Inn
SmL of slurry antj dry m
drytng oven (80* C) overnight
Date
Time
Take out at oven
Date
Time
M,
I mi
Place in auioclave in a waterdaih
for 1 hour at 105" C.
Date
Time
I nit
-------
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Out-put
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0 . 0
IBB. 1
0.0
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0.4
144.6
2.S
2,4
2. a
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44.4
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91.3
141 .6
141.7
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0 . Oui.ipp t
0 . OuOpp t
0 , OOOpp t
>30.ppt
0 . OOOpp t
0 . 0«Xipp t
0 . OOOpp t
O.OOOppt
S5.6Sppt
O . OOOpp t
O.OOppt
O.OOppt
1 O.OOppt
1 O.OOppt
20. OOpp t
20 .TOpp t
30. OOpp t
30, OOpp t
^ 0.234ppt
5-4'lf/-i.Ai-l>7lpPt
5.3 -*• 11.054ppt
5,4"
5.3
4.1
5.6 -
4.9*
4.0
1 t.OBOppt
VL'. * . 1 . 053pp t
•- 0.793ppt
- . lM17ppt
' ' 0.97lppt
, 0.76aPpt
6. CM 1.207ppt
0,7-
0.6
0.6-J
Jr^cT^
143. 5J
" 274
2.6
1.2-1
o.oJ
0.2J
0.5-t
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1.3*
2.5
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• i"4sTr^
i ^^
f. '..v.0.052ppt
* '" 0.034ppt
0.034ppt
31 .Olppt
3O.8lppt
0.415ppt
j(yO.4T7ppt
- 'Y 'o . 16Qpp t
-C|J O.OOOppt
i O.OOOppt
t- :-"''O.014ppt
; t . O,2Olppt
.0.187ppt
": " '''O.QOOppt
: 0 . OOOpp t
O.067ppt
^ y\ O.192ppt
{**' 0.43Bppt
O.OOOppt
v 30.72ppt
,l4iw.B_.,' 30,46ppt
"~2f . a
3,4
O.5O4ppt
0.&31ppt
1 . 4-lt,t _ O.ZOlppt
0 . 9 1 > ; 0 . 094pp t
0,4-1 0 . OOOpp t
Runs
1
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O.OOppt
O.OOppt
0 . OOpp t
O.OOppt
O.OOppt
Tiine Date
21:45 10 NQV
21:49 10 Nov
21:54 10 MOV- '
22:01 10 NOV •
22;u6 lu Nov '
22: 10 tO Nov •
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22:18 IO Nov '
22:24 10 Nov <
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-------
i Run
1 HCJ
leaaj no Sta 2 Run
- HQ
Std Z Run
-cd 2- Hg
Heading Std 4 Run
Std 4 .HQ
I Psait Height^ 2.4
Z, 4- Q. Ot'po t
t Peak' Height= 2.0
~ - a o.ooppt
1 Peal; Heidht= 44 «j
*4.5 IO.OOppt
i Peak Height^ 44,4
**-* tO,OOppt
(,,.- -—••-'-J'PIJI,
"9 atd 5 Run 1 Peak Heights 91.8
iff *^L H i( _ **•*». *
Std 5 Hg
rfinq Std 6 Run
Sfcd 6 wn
91.8 20.00ppt
1 Peak Height- 9;
91.S 20.OOppt
Std 7 Ryn 1 Peak Height=
Std 7 Hg
ng std a Run
Std 8 Hg
141.6 30.OOpp t
1 Peak Heig.ht= 141.7
141,7 30.QOpp t
S
c
e
n
c
In Mater tlferlln) Fit : Least
1
2
3
l.aiB 2.435 B.431
i.aai 2.767 1.5B3
li.BB 44.54 -i.49
ID.UD 44*39 ~9.52
2B.BB 91,76 -8.32
Peak ^rea= 61.0
i 0.00 0/P 22^~2
Pesi Area= 143,5
Peak Area- 2549.5
i 0.00 U/P 22:4u
Peak Area= J54Z.S
I 0.00 0/P 22:44
Peak Area= 5265.5
I 0,00 0/P 22:49
Peak Area= 5236,0
i 0.00 Q/P 22:52
Peak Areas S1B5.S
I O.Ou Q/P 22:5d
Peak Area= 8O87.0
i O.OO 0/P 22:0'
• i.* r •
ne
a
Cane Output Fit
6. 2i.8i 91.3B -B.42
? 3B.il 141.5 8.4B1
0 se.ae 141.7 8.441
Linear Curr Coeff=B.999Z
¥ tntereept= B,4
Concentration ppt '
Printed fr^ji ToucAStone 10 Now 94
. Oupp t
iS.d
23:09
-------
-11-94
UTH FLORIDA WATES MANAGEMENT 01 VISION
STRUCTURE SAMPLING
TOTAL M6HCLWY ANALYSIS
WATER SAMPLES COLLECTED NOVEMBER 3 1934
y
30
30
30
30
30
30
SAMPLE
ID
REAGENT
SLANK
A #24
SSA #24
SSA #24
S7#43
FIELD
BLANK
S7#43
FIELD
SLANK
*
WK
X
143,5
143.1
141J
143,1
141.2
141,2
•
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0
5.4
SJ
5.4
5.3
5.6
*
4.0
4.9
0.0
0.2
1.4
1.3
0.3
0,2
0,7
Hg-CONC
{PPTJ
.14
.12
.14
.12
.18
0.84
1.03
0.00
0.04
0.30
0,27
0.06
0,04
0,1 S
Consist
StdErrc
R Squari
Mo. of 0
Degrees
X Coefflc
StdErt-e
MEAN
1,13
1.15
0.94
0.02
0.28
0,06
Regression Output
0
0218B2S
ERR
€
S
S.D.
0.01
0.03
0.09
0.02
0.01
0.2f078B
0.00062S
JO
SB
SIS1 #66
3151
P.M. Hg-CONC MEAN
(PPT)
0.9
0,4
1.0
1.4
1.0
1,6
0.19
aoe
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0,30
0.21
0.34
0,14
0.25
0.27
S.D.
O.OS
Q.CJ4
006
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1.5 0,32 0,37 O.OS
0,1
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o.as
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3.413
-------
¥ X
SQO.OOQ 166.000
500.000 157.700
500,000 164,500
Regression Output:
Constant
Sid Err of Y Est
fl Squared
No. of Observations
Degrees of Freedom
X Cooffia8ni(s)
Sid En- af Coot.
SAMPLE P.H.
I.D,
69 SJO
5.70
96 19,10
I fl. 70
1 130 11.40
" 11,30
144 „ 34. tO
33.30
111 3460
39.OO
133 71.00
70.70
103 10,70
11.10
STD 36.200
35.700
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4,625
4,625
16.225
17.825
10.525
1Q.4SS
33225
32.425
33,925
38J2S
70.125
69.625
9.825
10.25
35.325
34.825
CONG
(ppt)
1482
14,82
S5.§?
S4.74
32.32
32.02
102.03
995fl
104.18
117.08
21S.3S
214.43
30,17
31.40
108.48
106.95
DILUTION
FACTOR
20.00
2000
20.00
20.00
20.00
20.00
20.00
20,00
20.00
20.00
20.00
20.00
20.00
2000
21.000
21.000
3.071
Q.CWfl
conn.
CQNC.
296.3S1
298.351
1119.379.
1094011
643.445
640303
2G40.i79
1991.543
2083.673
234 1. §37
43Q7.076
4296,650
603.451
€28.01 §
227B.144
2245.898
0.000
13.587
ERR
3.000
2JXJO
SAMPLE
WT. GRM
3.681
3.681
0.551
0.551
1 096
1.096
2.0B2
2.0B2
.5.837
f.837
S.942
5.942
1.690
1.690
0.113
0.113
ragHg/g sed
(ppb)
0,07
0,07
0.01
0.01
0.02
0.02
0.04
0.04
0,12
Q.t2
0.12
0.12
0,03
0.03
NORMALIZED
WT, (PPB)
12.01
12.08
304,73
298.04
S8.47
87.63
147.02
143.48
S3 55
60. IB
108.73
108.26
3.56
55.74
60.268
59.415
MEAN
i2.ee
301 .39
38.05
145.25
56.86
108.50
54.65
59.84
-------
TOTAL MERCURY ANALYSIS
EPA SEDIMENT SAMPLES
CANAL SURVEY - MAY 1994 CANAL SURVEY - SEPTEMBER 1 i94
SAMPLE MEAN S.D SAMPLE MEAN SO
ID ID
iS 49.49 0.00 103 54.65 1.09
62 136.48 7.34 118 lijfi 3.31
67 28.21 3.66 " 130 aa.OS 0.42
68 S8.i4 2.83 133 100,50 0,23
69 12.GB 0.00 144 145,25 1.77
83 196.13 0.44
i§ 28.32 0.00
93 176.65 1,36
96 301.39 3,34 STD 69,1 fl 7.17
97 41.55 Z21
99 13.61 0.00
m
********* ********* ********* ********* ********* ********* **********************
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Data l/2a/«i7
-i—r"t—r
a
At:
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cs: 0.25
-------
PeaJe Report
Time 16(41:33 °at
-------
Time
Data Fila s
MBt&od Fil« s
s 16:41133
Oat* 1/28/1SS7
—r™r
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At: €
Tto; sooo
PW: 20
CS: 0.25
-------
PeaJc Report
Time 16:4is33 ®ate 1/28/1997
ta Pile; 2IJAH1S
ethod File;
Gh 1 Detactor:
NUMBER RET. TIME MffiA HEISHT IDENTIFIER CONCEHTR&T1ON
1 00:00:56 4-755E+05 2.228E+04
2 OOs02:13 4.067E*Qi 2.22SE+05
3 00:03:20 1.665E+06 9.162E-I-04
4 00:05:11 1.27824-05 1.227EHH14
S 00:05:38 4.S31E+04 1.600E+O4
6 00:OfS24 1.637E+05 S.975E+03
-------
Tina : 16 Ml; 33
Data File : 28JSS16
Method File :
Data i/aa/lii?
at: i
Th: 4000 FWs 20
€3; 0.25
-------
16:41:33
ta File: 2SJAH16
file:
Peat Report
Date
1/2S/1§§7
Ch l Detector:
NOMBEB
1
2
3
4
S
6
7
8
§
10
11
RET. TIME
AREA
HEIGHT
IDEHTIF1ER
00:00:56
00:02:13
00:03:20
00:03: 59
00:05:11
00:05:38
00:06:10
00:06:35
00:08:17
00:08:43
00:09:24
4.778E+OS
4.067E-HOG
1.833E+06
3.034E-I-OS
1.142E405
3.317E-HJS
1.241E+05
2.323E+05
8.190E+Q4
1.994E+05
1.612E+OS
2.237E4-04
2.228E+OS
9.514E+04
1.384E+04
1.227E+04
2.026E+04
1.69SE+04
1.505E+04
9.030E+03
1.244E+04
1.013E404
-------
Original Research Papers
L^*»'_ t..~a, .,„
Analysis of Organomercury Compounds in Sediments by
Capillary GC with Atomic Fluorescence Detection
Azatm Alii1-21, Rirfotf Jaffa2'31, and Ronald Jones''4K
Florida Inlemalional University, University Par*;. Miami. Florida 33199. USA
Key Wordsi
Qrganamercury compounds
Capillary GC
Atomic fluorescence detection
Summary
Analysis of methyl- and ethylmereury {MM and EM) haltdes in bio
logical and environmental samples is generally performed by gas
ehrenwlography with electron capture detection. Tedious sample
work-up protocols and poor chromatograptibc response (using
packed columns) tisve, however, shown the need tor the develop-
ment of new methods in this field.
This paper reports a sensitive method, free from these deficiencies.
lot the determination of methyl- and ethylmercury. The organomer-
cury compounds {MM and EM) are first released from me sample
matrix, by the combined action of acidic potassium bromide and
cupric ions, and then extracted Into dlcMoromethane. The initial
extracts are subjected to ihiosullaie cleen-up and the organomer-
cury species ire isolated as thetr chloride derivatives by addition of
cupric chloride, and subsequent extraction into a small volume at
organic solvent. Capillary GC coupled with atomic fluorescence
detection provided excellent separation efficiencies for methyl- and
elhylmeregry and proved to be a very selective and sensitive tech-
nique The absolute detection limit lor both MM and EM was found
10 toe 0,2 pg.
1 Introduction
Mercury is a widely distributed environmental pollutant. Its oigantc
compounds, particularly methylmercury. are lar more toae than
elemental mercury or its inorganic salts |l,2|. Such widespread
hazaid and toxioological concern have stimulated a great, demand
for reliable, precise, and sensitive methods for the determination of
organomercury (MM and EM) compounds in water, sediments, fish,
and other biological samples.
The analytical technique most commonly used for determination of
organomercury compounds is gas chromatography using electron
capture detection (GC-ECD} |l-11[. with or without prior deiwau-
zatmn of the mercury compounds. Other techniques involve den-
vatizacjon by butyration |12,13], aqueous phase ethylation [I4-16|,
or hydridizatjon [17.181, coupled with microwave-induced plasma
{MTPJ [10,12,13,19-22[. atomic absorption [14,16,23-2?'], or atomic
fluorescence 115,28,29] detection Most of the chromatographic
methods reported have ysed packed columns 15,7.8,10,11.16] A
wide variety of stationary phases have been recommended for use
J Southeast Environmental Research Program
"' Determent a( Chemistry
* tanking Water Research Center
11 Deparunenr. ol Biological Sciences
[is organic mercury analysis, but many o! these have shown one or
more deficiencies 1 17, 1 1 -13[
(a) moderate to severe peak tailing;
(b) poor column efficiency which often leads to problems with
interferences,
(e'S pooi and often variable response to MM ana EM, and
(d) leducerf peak areas (or heights) of MM and EM from sediment
or fish extracts, despite good responses from standards prior to
ol sample extracts
[ll| investigated this undesirable behavior in detail and
proposed 'passivation' o( the packed column, pnor to analytical
measurements, by use of a concentrated solution of metemy(H)
chlonde in benzene (later replaced by toluene) [12| The passivation
procedure must, unfortunately, be repealed frequently as the bene-
fits or the conditioning gradually dimmish, and the onset of ion-nx-
chanqe and adsorption processes prevents satisfactory eluiion of
the mercury species [1,11,13] The injection of largo amounts of
mercury(ll) chloride has several other drawbacks 1 1 ]
{a) gradual and irreversible contamination ot election capture de-
tectors;
{b) rapid deterioration ol the performance of the column; and
(c) long penods during which no analysis can he performed
This report descnbes a procedure loi the analysis of organic mer-
cury which successfully addresses the above ehrornalographic
drawbacks. The method, a modification of the procedure developed
by Cappon and Smith 15], employs a non- polar capillary column lor
hjghei separation efficiency. The initial extracts are subjected to
sodium Lhiosulfate clean-up pnor to GC analysis with a highly
sensitive atomic fluorescence detector system.
2 Experimental
2,1 Simple Preparation
Sediment samples (from a freshwater marsh, Everglades National
Park, Flonda, USA) were collected in non-sterile, wide- mouth speci-
men cups (125 mL, Fishdr Scientific) and those not analyzed imme-
diately were frozen at -20 °C to preserve the samples' chemical
integnty. Each sample was homogenized with distilled water (30-
50 mL) fci 3 mui at high speed, using a blender (Qstenzer), to s
uniform consistency.
Journal ol High Resolution Chroma!CHjraphy
VOL. 17, NOViM86R 1994 745
-------
Analysis of Qn^nomercury Compounds in Sediments by Capillary GC with AFD
2,2 Procadtm
A portion (1.0-5.0 g) of the homogenized sample was placed in a
20 mL boroalicate glass sontiUanon vial (KinibJe #74511). Distilled
water (S mL)» Mowed by copper sulfate {1.0 M: 3,0 mL) and acidic
potassium bromide solution {10 mL) were added and the mixture
was shaken for 1 h at 330 rpm (Gyratory Shaioer Model G2), Dichfo-
fomethane (5 mL) was added and the mixture shaken for 12 h ai
330 rpm and then centrifuged for 10 rnin at 5000 g uj a Sorvall Model
EC-S refrigerated centrifuge (Dupont), An exactly known volume of
the didtJorornelhine layer (3.5-4.0 mL) was transferred to a 7.0 mL
borostiicaie glass scintillation vial {Fisher Scientific #0333725) and
sodium ihiosuiJate solution (0.01 M; 1,0 mL) was added.. The mixture
was shaken for 20 inin at 330 rpm and centrifuged at high speed in
a EC clinical centrifuge The aqueous layer (0.9 mL) was placed in
a 2.0 mL microcentrifuge tube (Fisherbrand, Fisher Scientific), and
••> copper chionde (0.5 M; 0.3 mL) and dichJoTometfaarie (0.3 mL) were
added. The contents were mixed for 1 min on a Vortex Geme mixer
and oentnfuged for 2 min at high speed in a Hermte centrifuge. The
dichtoromethane was transferred to a 2,0 mL glass sampling vial
containing a few crystals of anhydrous sodium sulfate and submit-
ted for GC analysis using 5,0 uL injections, Samples spiked with
known concentrations of methyl- and ettrylmercury were extracted
to evaluate the recovery facior used for quantification
2.3 Analysis and Instrumentation
A schematic diagram of the GC-AFS system used in this work ts
presented in Figure 1. Chiomarography was performed with a
Hewlett • Packard (Model 5890 Senes I) gas chromatograph coupled
with an HP (Model 7673) automatic sampler and fitted with a
15 m x 0.53 mm i.d (Megabore) fused silica column coated with a
1 jim film of the non-polai bonded phase DB-l {J&W Scientific).
Splitless injection was employed: the injector temperature was
250 "C, The column oven temperature was held at 40 *C for 1 nan
after injection, programmed at 60 a/min to 140 °C, which was held
for 3 min. then programmed at 50 "tain to 200 SC which was held
for 10 mm, The column and make-up flows were 40 and 60 mL/min.
respectively,
The column eluate was led through a pyrolyzer (P S, Analytical Ltd,,
UK) posaoned inside the GC oven, via a 65 cm long deactivated
fused alica tubing (0.53 mm i,d. J&W Saenofic). which was con-
nected to the column with a glass 'press-fit" union 0&W Scientific) :
the pyrdyaer temperature was 800 *C. The mercury atoms foimed
in the pyrolysis uwt were transfened, via 0.5 mm i.d. tubing {PER
Alltech Associates), from the outlet of the deactivated fused silica
tubing to the iuoreseence detector. The transfer line was passed
through a small hole in the top of the GC oven to the detector and
the connections were made with FTFE unions.
A MerKn Mercury Fluorescence Detector System (AFS). Model
10,023, (P. 5. AnaiyacalS was used. In operation the sample was fed
to the detector as a gas which was channelled through a chimney
past a light source and a photomultiplief tube at nghi angles to each
other. The optical assembly was sheathed in a flow of argon
(300 mL/min). Efficient isolation of the required exaiaaon and
emission wavelengths was achieved by means of a specific high
intensicy mercury lamp source (Cathodeon, Cambridge. UK} and a
fixed. 254 nm filter,
The integrate time was 0.25 s, the calibration range 1000 (most
sensitive), the fine gam 10 ftnajomurn), the recorder output voltage
1 V, and the damping switch was on (for signal smoothing), A
real-time chromatographic control and data acquisition system
(E-Lab. Version 4. 1 0 R, QMS Tech) was interlaced with the GC and
AFS detector system, to this work, the detection limit was defined
as the amount of mercury giving a peak arei eoual to three Urnes
the standard deviation of the background signal.
GBB chramBtographK - atomic Uuoracanca Hpeclrorrwtrlc lyirtmni 1 A, fxr
Ihim-1B, argon; 2, azygmi **K *, mercury trap; *, maiitur* lr*p; 5, automatic
sampler;6, injudor;7.column.fl.pfMi'fll:union;9.pyrnryien 10, cl*«ctr»Hted
1X83 mm Ld, htowi s*iic«; 11, PTFE unions; 12, 0,5 mm Ml. FTFE transfer llna;
13, alamlc fluorescence detector; 14, E-Lah chromalogrvplik: control Hid data
acquisition system; 15, mass flow controller Channel A miM*-up, Channel &
sheath gin.
AM gases were supplied by Lio^iid Carbonic Speciality Gases and
were of zeio grade quality. The camer gas was helium (9&.S95 %),
purified by passage through, first, an oxygen trap, then a mercury
trap (gold-activated carbon} and a moisture trap. Argon (99.9S8 %),
employed as mate-up gas and sheath gas for the AFS, was also
passed through both a moisture trap and a mercury trap before use ,
Its flow was regulated by a mass flow controUet (Omega) equipped
with two channels, channel A (make-up flow) and channel 8 (sheath
gas flow, Figure 1), The mercury trap was used as a means of
avoiding deterioration of the detector's signal-to-noise ratio as a
result of possible contamination of the camer and sheath gases.
2.5 Reagents
Distilled, deionized water produced by a Bamstead B-Pure system
was used in all solutions. Certiied ACS grade potassium bromide,
copperd) sutfate, copper© chtonde, aid sodium ttoosulfate (Fisher
Scientific) were used throughout this work. The addle potassium
bromide solution was prepared by dissohring iSOgrn 200 mL water,
Trace metal grade concentrated sulfunc acid (50 mL, Fish« Scien-
tific) was added to 100 mL of water. After cooling to room tempera-
ture the solutions were mixied and made up to 1 L with water.
Copper sulfate {1,0 M), copper chloride (0.5 M), and sodium thiosul-
fate (0,01 M) solutions were pepared by dissolving appropriate
amounts of the salts in water. All solutions were extracted with
dJchloromethane prior to use.
2J Standards
All mercury standards were purchased from Ultra Scientific. Stock
standard solutions of dumethylmercury, methyl-, and ethylmercury
chionde (DMM, MMC, and EMC) were prepared by dissolving
appropriate amounts of the standards in optima grade methane-!
(Fisher Scientific). These solutions were stored in dark brown bot-
tles at -10 °C and diluted with dJcftloromethane to give working
746
VOL. 17, NOVEMBER
Journal of Hiuh Rfisolulion
-------
m Sadim«nts By Capiltaiy GC wrth AFD
stanciaids of the desired concentrations when required. Under such
condition, these stock solutions were stable lor several months.
3 Results and Discussion
3.1 Chromaiography of Organomnreury Compounds
In the analysis of organomercury compounds, the denvatizanon
techniques mvolred can he ome-consumuig and the denvatized
products may not necessarily reflect the actual concentration of the
vanous organic mercury speaes native to the simple, fa the aque-
ous phase ethylation technique, both inorganic mercury {Hg2*} and
EM are derivatiaed to diMhylmercury and thus the quantification of
inorganic mercury and EM inherent in the sample can become
difficult. Another disadvantage is the use of the BCD far detection.
Evidence for the partial on-column decomposition of MMC has
been reported (1,11[. This would result in the loss of the electron-
capturing moiety which would render the ECD an unsuitable de-
tEctoi. In addition, mercuric chloride conditioning of the GG column
is associated with severe drawbacks f 1] and this 'passivation' tech-
nique is a major limitation of the analytical method. As evidenced
by these disadvantages, there is need for more straightforward
methods in the analysis of organomercuiy compounds.
The objectives of this work were to develop a method for the direct
solvent extraction of oiganornercury compounds from sediments
{with diehloromethane} foOowed by GC analysts, This, Iwwever,
resulted in irreversible GC column problems if no further sample
clean - up steps were pert armed, A typical chramatogram of tile pure
mixed mercury standards (DMM, MMC. and EtAQ is shown in
Figure 2A. Ctearly. the chromatogram is indicative of excellent
chromaiogiaphic behavior.
The flisc injection of a sediment extract (I, e, from sediment acidified
with acidic potassium bromide and extracted with dichlo-
romethane after addition of copper sutfate}, also resulted in excel-
lent chromajjographie behavior for MM and EM present in the
sample, A consecutive injection of the same sampte extract re-
sulted, however, in no detector signal for these compounds and
ehroinatograms obtained from the sediment samples showed, fur-
thermore, broad bands eluttng at elevated column temperatures
(2QQ-25G *G), indicative of the eluQon of high molecular waghl polar
compounds,
tMti
MM
B
EN
fl la a ^
Retention timm
Figure?
(*) Chromalogram of pure organic ffutfcury standards on new column: OMM,
2.CH pg Hf; MMC, 3.79 ps Wf; BlIC. 2,50 pg Hg. (B) Chroma togram of s*
Mfflpte alter irilosullate clean up (MM, 194S.7 pg Hg/g; EM, 1236.6 pg I
Interesnngiy, after such column detenoration, injection of the three
standard compounds PMM, MMC. and EMC) showed that the
non-polar compound, DMM, chromatographed without noQeeaCte
interferences, whereas MMC and EMC were not detected. Column
bate-out and removal of a short length of as inlet end did not
improve its efficiency. Once a new column (same stationary phase,
DB-1} had been installed, however, with the glass liner, deactivated
fused silica, and transfer fine unchanged, excellent separation effi-
ciency was agam obtained for the organic mercury standards, This
clearly indicates that the poor chromatogiaphjc response pre-
viously observed was associated with column detenoratwn and not
with the injection or detectoi ends of the GC-AFB system. It seems
likely that there is strong interaction of the polar organomerciuy
compounds with high molecular weight compounds {possibly con-
taining sulfur) which have interacted with the stationary phase As
will be shown below, these interferences could be removed from
the sample matrix by use of a thiosuKate ctean-up step.
Sodium thiosuOfaie has a high complexmg affinity for organic mer-
cury !5rS,33] and can provide rapd dean-up of the initial extracts.
Figure 21 shows a typical chromatogiafn from a sediment extract
subjected to sodium thiosulJate dean-up, Note that both MM and
EM were efficieniiy separated. DMM cannot be adequately ana-
lyzed by methods relying on low pH eMiaction/preseivation. since
strongly acidic conditions convert DMM to MM. This explains the
absence of DMM to Figure 2B; it is unrelated to the thiosulfate
ctean-up proceduie, With this sampte pretreatment, the column
was used routinely for several months with no apparent loss m
efficiency. The cdumn.efflciency and detection lirrute for dimethyl-
mercury, methyl-, and ethylmerciny species under the optimized
GC-AFS conditions are shown in Table I
Table 1
Comparison at column emciencics and detection limits for DMM,
MMC, and EMC determined by GC-AFS.
Analyte
DMM
MMC
EMC
^]±SD
[min|
3.38 ±0,0
6J2±O.Q4
7.32 ±0.03
W^
[min|
0.13
0.25
0.23
nfti*
InT'l
271
200
391
D.I*
[pal
0.3
0.2
0.2
" Retention turn
M Piak width at hall msHmum height.
a NumtK* ol Oieoretiral platts pet unit length, a = 5.S4EH W *W,^
111 Datecttnn torot
Using the ttriosulate ctean-up pro«dure. no roercunc chlonde
conditioning is necessary and thus the limitations imposed by this
process are avoided. In addition, the employment of mercury fluo-
rescence detection overcomes the inefficient detection of meicury.
characteristic of the ECD, which results from partial on-column
decomposition of methylmencury chtonde. With this analytical
method the organic meicury species {commonly MM and EM)
present in a sample can be acoaately determined and quantiried
This is a major advantage ovw the ethylation technique where the
quanttfcattan of EM becomes difficult.
3.2 Quantification and Analysis
Quantitative data were obtained using calibration curves (peak area
against concentration of organomeratry chloride in piccgrams of
mercury (pg Hg) per 5 jii injection} generated daily using standard
solutions of methyl- and ethylmeicury chlorides. The relative stand-
D) High
VOL. 17. NOVEMBER 1994 747
-------
Analysis of Orqanomercury Compounds in Sediments by Capillary GC wiih AFD
aid dananon erf the signal for a 3.16 pg Hg/5 pL standard was 1.5 %
lor peak area measurements (fi = 3), The calibraDtsi curves gener-
ated were linear between at least 0 and 4 pg Hg/5 uL. AB sediment
samples analyzed in this.study fell within this linear range. Linear
conetoeffl eoeffiaente (/l] for the calbratian curves were 0.938 and
O.S99 for MMC and EMC lespecavely.
Quality control was established by determination of percentage
recoveries for each sample using surrogates as described below. A
recovery factor ffl} which vaned between 45 and 65 % for methyl-
mercujy and SO and 80 % for ethylmercuiy was used in the calcu-
lations to compensate for losses erf the analvtes during sample
preparation. R was determined for each sample by analyzing an
eqmvalent imount of the same sample spUffid with a known amount
of methyl- and erhylmercury and determining the fraction of each
compound recovered. It is necessary to determine an I? value for
each sample since this is influenced by differences in sample ma-
trices which affect the partitioning of organornercuiy compounds
[18,32.34|.
4 Conclusion
This ehrorriatographtc tecnmgue for the analysis of oiganomercuiy
compounds involves no prederivatizanon of the analytes. aid or-
ganic mercury species present in the. samples can be accurately
determined, In addition, the absolute detection tats ware 0,3 pg
foi dimeihyimercury and 0.2 pg for methyl* and ethylmereury; these
figures are ca four times belter than those obtained with existing
methods, Direct analysis, /.a without sample clean-up, of dJchb-
romethane extracts of sediment samples from Everglades National
Park confirmed previous reports 11.7,11] of severe deterioration of
the GC column; this resulted in complete loss of efficiency for
organic mercury chJondes after only a few injections, Use of the
thiosuHate back-extraction step described above, however, suc-
cessfully removed matrix interferences, enabling routine analysis of
organomercury compounds with no detectable loss of column effi-
ciency.
Acknowledgement
This wortt was supported by trie United Slats Enwironmintal Protection
Agency and Everglades National Park through coopeiativeagreement CA-
5280-1-9016,
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[131 S. Bulsla, H. Saaetiarg. O.C Baxw, W ftecu D. Elk/wen, and 1*.
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1 171 M MfcpiMi. F AM F£. flnnetonan. and 0 J, Oton. Ewwor, So, Technai. 2B
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323.
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|22] ft iansBjii C. MeuSeinan, M. Leemalseis, mid W
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1291 W. Stan and W RGgefaW, Anal. Chim Acta 10« (1988) 151
|301 D, Grpsen and M Maatop. Water Au, and Soil Pollui 98 U9S II 507.
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-------
Anafyoca CMnnre jieto. 22i {1989 > 253-268
T Bern** Pubtkhtn B.V., AmOteaiMm — Print**
238
DETERMINATION OF METHYLMEHCURY IN NATURAL
WATEKS AT THE SUB-NANQGRAMS PER LITRE LEVEL BY
CAPILLARY GAS CHROMATOGRAPHY AFTER ADSORBENT
PRECONCINTRATION *"a vrujriw
Y.H. LEE* and J. MQWRER
i R*«ivedl 23rd November 1988 )
SUMMARY
w*.
torn Witer „,
^^-t
it fto. iiuwpfflie Bleiearr,|j.4^J mJ
with d«*wn-«pta«« dw^tfcn, Tta d.tatiott limit for
nf I IB . 44 w«ter urnpk. Four .uriaw
^.mtntnltm tetmii th, tw
mid to twl th.
•
m di&mii nnftn mtw unpla tanged fen 0.68 to §.« ng L-
In m»nt y*wa, elevated mercury levels, meraiiy being present wainly as
inethylnwniiiy (MeHg), have been observed in &th in remote oligotropiiic
Jakea Inenaaed acidification of the lake water combined with high faiunie con-
tent have been shown to inmasa the MeHg content tether in fiah, woplank-
ton and algae (1-8J.
Thentore, there bm been a rekindling of Interest in mercury, to ntabluh
why these fiah hmvt elevated Hf concentrationa and to understand how Hg
species are tranBported/transformed in the biogeochenikml eyclt. To be able
to study th« dyninik behivioiur of MeHg in the biogeochemical cycle, the abil-
«y to measure it in natural wtter at the nf 1" l and sub-nf |- " level ia crociaL
I he difficulty in metsurtof MeHf in natural waten in remote anas Uea in
concentrating it from golutton. Most previous aaalytical methods involvt many
M^IS, suffer from poor extraction efficiencies and require targe sample volumes,
Most of the previous procedures hive generally used a seltetiv* pweoncen-
ratton treatment followed by m adequately sensitive analytical techniipw (9-
»» J . Extraction with an organic solvent ^benzene or toluene) is the moat pop-
0
-------
260
ular preconcentration method. However, because the partition coefficient
MeHg between benzene and water is low, (ca, 5-10 [9 f), this method ia
adequate for concentrations <0,S ng I"*1, Several kinds of ion
lating resins for concentrating MeHg from nat'iral water have also
ported. Their main functional group is the sulphur donor atom, which._
the bonding of heavy raetal ions. Owing to their low capacities, relatively
amounts of resin are required, and because of their strong bonding to Mu
large volumes of strong eluents such as a strong acid or a chelating agent {
ourea) are commonly used, often followed by a further concentration using
extraction method. In addition, pretreatment of the resin before use is gei
ally required [9,16,18], thereby prolonging the time for sample analysis.
The aulphydryl cotton fibre {SCF) adsorbent, produced by introducing
aulphydryl functional group into natural cotton fibres, is very effective for
centrating trace amounts of MeHg [14,20,21 J. Previous work [li.,22]
onatrated that the use of a small amount of SCF adsorbent for concentra
MeHg followed by gas chromatography with electron-capture detection (_
ECD) permits the measurement of sub-ng 1*"l levels of MeHg in natural watei
Recently, by the application of capillary GC together with a modified col
concentration treatment with SCF adsorbent, significant improvements <
made in the sensitivity of the method. For mimic-rich water samples a
stage preconeentrmtion procedure consisting of batch concentration as the fi
and column concentration as the second stage baa also been developed
evaluated. These two concentration procedures are compared with respect
the detection limit and interferences in this paper,
EXPERIMENTAL
Methylmereury is preconcentrated from water on to a SCF adsorbent, tb
the adsorbed MeHg is eluted using a small volume of 2 M HCl and thus aepa-J
rated from inorganic mercury. Benzene is used to extract methyImercury chic
ride (MeHgCl) from the eluate and the MeHgCl in the benzene extract ii
determined by GC-ECD.
Handling of the water swnpfe
Sample collection and handling were done carefully to avoid contaminate
AH glassware used was manufactured of borosilicate or Pyrex glass. New glasa-l
ware was treated with aqua regia. Sample bottles, glass separating funnels and!
PTFE and siSicone-rubber tolling were leached in 2-4% HCl for at least 24 b-f
Screw-capped sample vials with PTFE-coated septa (2 and 3.5 ml), used fo
benzene extraction, were treated with 10% HCl and thoroughly rinsed and!
leached for several days in deiomzed water, and before use were rinsed with]
ethanol and acetone and dried at 1§0°C, The fresh water sample (1-4 U
stored in a cold (6e C), dark room after sampling, and analysis was carried oat]
-------
•$ soon as possible (within 1
I*? 3*%
mU. dum,
Reagents and satuiions
Stock solutions of MeHeCl
(2 If) HC!
wa.
Synthesis of SCP adsorbent
The SCP adsorbent was ayntiiesi^j _j
P
D- "
*«- . •• — P^-n^t™
-------
262
Pif, 1. Sefamtie diagram tit the column concentration apparatus.
*?
<— SAMPLE
tritnvoiR
i l
SCF G«J8E —>
10xl« en
H*SmTie fflllHR
COATCH HITH PTFE
<— StF
CM
Fig. 2. Schematic dapmm of tiw batch concentration apoamtu*,
umn. The eluate w^ collected In a 3.5-ml aci«w-capped sample vial with a
PWE-coated septum and shaken vigorously with 0,6 ml of benzine for
The benzene extinct was then analysed % GC-ECD.
Two-stage concentration (butch-column procedure)
About 2-4 1 of the sample (MeHg concentration >0,OS ng l~l) were tram-
hired Into & Pjrox-glas* vunL After pH adjustment, two pieces of SCF gaui*
weie fi3ted on a cylindrical glass frame and then placed in the middle of the
glass vessel. Thi water was steed for 1.5 h uainf a magnetic stirrer coatwi
withFITE (Pig, 2).
Fot desorptian of MeHgf the two pieces of SCF gauze were removed from
the glass frame, rinswd with defonized water to wash off my adsorbed humk
substances and packed into a small funnel. After squeezing water fe»m the
adsorbent with a glass rod, 9 ml of 2 M HC1 were used to elute MeHgr then the
adsorbent was rinsed with ca. 30 ml of deioniased water. The eiuate and the
-------
solution obtain«f aft* •
Pk^ppedwiih-aiw,'
-» usea to de**..*: •«:-*—»jr coiunjn *mj _ 0 ua *V*efoctm»i
««"i?iS^f'^eS^?*i^i23S3j"'«w
^"•fifiS l&Tfi'PUl An d£* II ^'CJ&ft i*I fTj« T^-* ^^Jr *^J E^jjft ^fJTtl'l F^tt •
™=« aa tOiJows-ir,L ^_ "'•'••ii.iCi IUVMPBIJ_ «» .^.Z^^^"J«'yCDliif*i^ L-
^J-m fito tfStaS!y(^5^jj^^^^op^'^^
§^S5^S^^
•—^--*>asSaS^ar
^^*^1
-------
284
times of benzene and eiuate, respectively. The extraction efficiency |£)
tained from this eiperiiaent when l/Hjo/Vb=3 was a65±0.02 U=25).
setting £=0,65 in the equation
the partition coefficient (K=MeHgCyMeHiClKj® ) was 5.6, which is
close to the value of 6 obtained by Fujlta and Iwashima [9 } for a solution
containing L7 M HCI and 30% NaCl.
for
GC analysis , , -•
GC analyses were performed at the highest available detector sensitivity!
detector (attenuation X1). Temperature programming was impossible owing!
to disturbances to the baseline at this low attenuation. Because the highest j
sensitivity of the detector is used, impurities in the solvents and reagents used]
Mid/or those introduced during sample preparation can easily mask the]
MeHgCl peak. Previously* a packed column had been used (11 ], However, thsj
separation from the solvent pe«k and nearby mterferinf peaks was very poor;]
Baseline separation from the solvent peak and improved separation fern in- •
terferinf petki w«s obtained by using a wide-bore capUtoy column (see li-J
perimental and fig. 3a^b>, The sensitivity was also improved 1
MeHgCl la eatily decomposed when exposed to active sites on glass and metah
surfaces at etevmted temperature*. Therefore, the injection Uner was ^anued
twice using 10% diehtorodimetbylsilnne in toluene Dewmposition of MeHfCI i
Tim*
Fit 3
of bmwne atnrt ift*r
r'M*Hg,
: ( A) 3 4 of staiid«fdb«ii*MM «ihrtiwi. LSnf ml-*MeH|C1
Ins* GM ««&« «»ter wiitainuig 0-lS
-------
265
.02 (n«25). In-
6, which is very
PI for a solution
ector sensitivity
mpoasible owing
luse the highest
id reagents used
sastly mask the
L]. However, the
3 waa veiy poor.
aration from in-
;o]unm (tee Ei-
metal
itioii of MeHgCl
even observed on the capillary column. The column could be regenerated
by successive rinses with hexane, toluene and methanoi.
The chromatographic separation is shown in fig. 3. The interfering peaks
on either side of MeHgCl wett suspected to be derived from the HC1 used as
elueni 5n the preconcentration steps. Attempts were mtde to remove these
interfering compounds from the HCl, and the best results were obtained by
extracting freshly prepared 2 M HO several times with benzene.
Each sample analysis respited about 30 tnin to elute ail the peaks that could
interfere with a subsequent injection. The ECD response to MeHfCl was linear
over the range required for these analyses ( 1.5-20 pg) and the correlation coef-
ficient of the linear regression for the calibration graph waa generally better
than 0.990. The detection limit waa ca. 0.5-LO pg.
ARafym of artificial and field umter
In order to measure and contra! the quality of the analytical results with the
methods developed in this study, MeHg waa determined in artificial water sam-
ples, blanks and field water samples spiked with known concentrations of
MeHg.
To evaluate the two-stage preconcentration method and to compare it with
the column method, several experiments were done to assess the recovery of
methylmercury in artificial waters using both methods. The concentration
ranges chosen corresponded to those found in fresh water samples. The results
in Table 1 show that MeHg wan quantitatively adsorbed on the absorbent using
the column concentration method. The recovery of the spiked MeHg varied
from 31 to 108% with a standard deviation of 9.3% and a mean value of 95.8%.
The interval estimate of the mean, value was ±8,3% (95% confidence level).
The recovery of spiked MeHg from the two-stage method varied from 4S to
75% and increased with increasing MeHg concentration. Figure 4 shows that
TABLE 1
Recovery of «pjiad mtthylmMrurr in artificial water
BMthod
Volum* (1)
Mtthylmaneury
concratrmtion
R«covtry(%l
( Mean ± 3-D.)
Column
0,1-4
4
r containing 0.15 Of
0.1-30
0,05
0.1
0.2
OJ
0.4
01
(tt-21
,(rt«2)
71.0±5v6 (n=2)
-------
266
Fig. 4 Linear reftwmion between rtcovrry of gpilced M*Hg sod M*Hf concentration in j
mur swnptet, HM error bra correspond to standard devwtxma o/mt**u«d Me Hj concent
shcwa in I^bb 1.
the correlation coefficient, ra=sOJ35t is high. The lower recovery eoi
with that of the column method was mainly due to losses of MeHg in the bat
concentration atep.
The blank was also checked for contributions of MeHg from the reagei
and the method uaed No MeHg was detected in the blank for either method,1!
For field samples, 2-41 of water were usually used for the determination <
MeHg (> 0.05 Bg l~l). The column method was generally applied for;
with a low content of bumtc substances (dissolved organic carbon < 5 mg T^
or colour <20 tug Pt I~l). The column method was not used for hmnic-
sample waters, aa humic substances may interact on the surface of mineral^
particiea occurring in the colloidal state, resulting in partial or complete block-
age of the column, and tiiey may also produce emulsions during the extraction!
step, making it difficult to separate the small volume (0,6 ml) of benzene ex-1
tract from the aqueous phase. These two problems could be avoided by using]
the two-stage method,
Table 2 shows that the MeHg concentrations in two surface waters deter-1
mined by use of the two preconcentration methods were within 15% of the]
mean.
As a cheek on the difference among MeHg determinations ia filtered and]
linfiltered surface waters, two lake waters were examinedTabie 3 shows that]
the MeHg concentrations in the filtered and unfiltered waters were within 15%;
of the mean and the recoveries of spiked MeHg were very close to those ob-
tamed with the artificial waters {see Fig. 4).
Compared with the column concentration method, the two-stage concentra-
tion treatment had the disadvantages of a larger number of chemical steps and j
lower yields. However, the two-stage method had less problem with the for-
-------
267
T.4BLE2
"Hg concentration in wtTidU}
>w*r
the
surface
ere within
dttur- '
of the
in filtemd and
ed.Table 3 show* that
itera wen within 15*
close to those ofa-
of chemical steps and
with tbe for-
r TABLES
-------
268
Klor AB and EKA and the Battery AssodationK Thanks an* due to E Km
JT ™? E-Jf™ for a9«iflta*« with the manuscript and to Mr. Simm* Li *
Mr. Zifan Xiao for technical asssutanos with the analytical work
REFERENCES
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i
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„ ^•^™*^^Ilm^il^^'^»SctTidiiititMi9(isaiJSB.
10
11 —-,«,,
12 Y.'fttoti.AotiaiSm.Aa*, 74 (1979 MOT?
13 P.B. Goulden and H J. Anthony, Anal CUn. Arta, 120 (1980) 129,
m » ••>«»»!* .... ™™* •••'•W* %*§^>^Mli*( 'Wff % -I-WVV/ V0U |H
40
17 J,Y,
18
Chua, A*ti, US (1980)
o, Y, K«ttd« tnd Y, fflkatt, fat. J,
*'
R«riB|», TtiicaL Environ.
13 ( 1987} 1S3.
21
180,
22 Y^-^»^H-ilultbeif,Eii¥ho^Ttoi^Cbe^ildiial^
23 A, I vuftldt amd 0- LiDdqviat, Atiwn, Enviroiu IS (1982 > i§!7,
24 G.C,UaM.Q,Yu«BdQ,aWing,AmSdL
, § ( 1904) 47
-------
APPENDIX C: Data Reviews
-------
EVERGLADES ECOSYSTEM ASSESSMENT
(PHASE II REMAP)
Data Review
May 1999 Sampling
-------
Data Review, May 1999 Sampling
Foreward
The data review documents developed by the US Environmental Protection Agency (EPA) as
part of the Investigation of Mercury Contamination in the Florida Everglades Ecosystem and
Everglades Ecosystem Assessment (Phase II REMAP) Project are presented in the Data Review
May 1999 (M4) and September 1999 Sampling (M5) documents.
The Phase II data review determines whether the Data Quality Objectives (DQO) have been
satisfied as outlined in the Quality Assurance Project Plan (QAPP). The M4 and M5 Sampling
results were analyzed to determine whether they met the criteria developed during the planning
phase and whether the total error within the tolerable decision error ranges as specified in the
QAPP to support decisions.
The Data Review, May 1999 Sampling document summarizes the assessments of the critical and
non-critical parameters. Ten percent of the samples were randomly selected during the validation
process to characterize the quality of the data set. Five of the eleven critical parameters are
qualified with a "J". Parameters associated with this qualifier should be considered an estimate
for a number of quality control variances. The results for total phosphorus, total nitrogen, total
organic carbon in surface water and methylmercury and bulk density in soil should be considered
an estimate based on findings. A table summarizing the critical and non-critical parameters is
enclosed in the Data Review document along with the detailed calculations and criteria for each
selected sample and parameter.
-------
TABLE OF CONTENTS
1. Critical QA/QC Summaries
la. SERC
Ib. Battelle
2. Non-Critical QA/QC Summaries
2a. SERC
2b. Battelle
3. Critical QA/QC Review
3 a. Water-SERC
3b. Water - Battelle
3c. Soil - SERC
3d. Fish - SERC
4. Interlaboratory Comparisons
-------
CRITICAL QA/QC SUMMARIES
-------
O"s
Os
Os
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S
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a> j§
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00 PH
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M S
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LengthAVeight |
Total Mercury
c
"B
AFDW
Total Phosphorus
Methyl Mercury
Methyl Mercury
Total Mercury
O
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.
1 1
0-fc
*
s
I
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3-5
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-------
SERC
-------
EPA SESD South Florida Phase II Dry Season Sampling: May 1999
Summarized Findings for 10% of the Critical Parameters Reviewed
Total Mercury in Surface Water Analyzed By SERC
Sample ID by QC
Batch
M4-508-SWF
M4-809-SWF
M4-533-SWF
M4-538-SWF
M4-548-SWF
M4-556-SWF
M4-872-SWF
M4-501-SWF
M4-566-SWF
M4-568-SWF
M4-586-SWF
M4-576-SWF
M4-594-SWF
M4-599-SWF
a
«
% ^ ° 1
So -a S S M
*2;_ 1 ^ § -o M
| 2 5 j | £ - g .S
Ctf (U'OB §J | t I'SQM
SoSuSuu£^^
X
X
S~
2;
_
S
n
•Q
H
^
•o
S
S
X
X
Comments:
1. Samples from 61 stations were analyzed.
2. Results are an average of 3 separate runs.
3. No matrix spikes were reviewed for batches that included samples 568 and 586.
4. Potential matrix effects are indicated for samples 548 and 599 based on matrix spike recoveries.
Footnotes:
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Dry Season Sampling: May 1999
Summarized Findings for 10% of the Critical Parameters Reviewed
Total Mercury in Fish Analyzed By SERC
Sample ID by QC
Batch
M4-501-FIF
M4-508-FIF
M4-533-FIF
M4-538-FIF
M4-548-FIF
M4-556-FIF
M4-566-FIF
M4-568-FIF
M4-576-FIF
M4-586-FIF
M4-594-FIF
M4-599-FIF
M4-809-FIF
M4-872-FIF
u
S.
Matrix Spike Not Reviewed for I
Data Entry Check Not Noted
"3 _
u -S
1 J 1 J 1 1 5
|||{l|||
E I s « ^ £ 1 (2
M = " 0 (3 B H .3
NO SAMPLE
*
*
*
*
*
* V**
Si! V**
X**
NO SAMPLE
X**
X**
X**
X**
1
5
a
1
i
Comments:
1. Documentation of data entry checked was not reviewed, with the exceptions of 576, 594,
599, 809, and 872 where documentation of data entry checked was found.
2. QAPP holding times were exceeded for samples 566, 568, 576, 594, 599, 809, and 872.
Footnotes:
" * " Refer to the Standard Operating Procedures.
" ** " The fish samples were frozen prior to analysis. SERC references a study demonstrating
no significant loss of analyte for frozen samples exceeding holding times.The study can be provided by FIU upon request.
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Dry Season Sampling: May 1999
Summarized Findings for 10% of the Critical Parameters Reviewed
Total Phosphorus in Surface Water Analyzed By SERC
Sample ID by QC
Batch
M4-501-SWF
M4-508-SWF
M4-533-SWF
M4-538-SWF
M4-548-SWF
M4-556-SWF
M4-566-SWF
M4-568-SWF
M4-576-SWF
M4-586-SWF
M4-594-SWF
M4-599-SWF
M4-809-SWF
M4-872-SWF
f
M
£
1 *
I z ,
"5 ** °* .j
5 - 1 1 1
5 » w S «
3 5 i 1 £
i fr 1 5 1
* CM | (2
.B W a Z ™
•B s is >• s
J 3 ^ U 2
g o a u B
j
3 -s
-o S Q 'S
g "3 g -e ^
I ! i 1 i
Ci w « S F
* -i 'S a 1
£ 1 s 1 !
c — = "; -^
"S ™ 3 «
^f § ~ O B
o 3 £ o o
U U PH Z Z
* ** x***
x***
* ** x***
* x***
NO SAMPLE
# x***
# ## x***
# x***
# x***
# x***
# x***
# x***
# x***
# x***
"o
z
1
C5
1
s
H
X
•c
is
'-C
aj
1
X
X
X
X
X
X
X
X
X
X
X
Comments:
1. Blank results included with this batch were >3 times the MDL.
2. The blank results were significantly different (0.021 ppm vs. 0.0081 ppm) in this batch.
3. Holding times were exceeded for samples 501, 533, and 566.
4. Documentation of data entry check was not reviewed, with the exception of 501 where
documentation of data entry check was verified.
Footnotes:
" * " Refer to the Standard Operating Procedures.
" ** " Holding time goal only.
" *** " Blanks were reported above the MDL. Lab water was used as the blank water but not in the sample digestion process.
Procedures have been modified to correct this.
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Dry Season Sampling: May 1999
Summarized Findings for 10% of the Critical Parameters Reviewed
Total Nitrogen in Surface Water Analyzed By SERC
Sample ID by QC
Batch
M4-501-SWF
M4-508-SWF
M4-533-SWF
M4-538-SWF
M4-548-SWF
M4-556-SWF
M4-568-SWF
M4-576-SWF
M4-586-SWF
M4-594-SWF
M4-599-SWF
M4-566-SWF
M4-809-SWF
M4-872-SWF
^
M
Matrix Spike Not Reviewed for
Data Entry Check Not Noted
Holding Time Exceeded
X * **
X * **
* **
* **
NO SAMPLE
* **
* **
* **
* **
* **
* **
* **
* **
* **
A
« _
u -S
j« +- "£
•o a ! ! 1 | 1
1 s K = -s $ S
1 A | ? 1 1 I
^ ! i ! s f «
^ 2 ° = 'I = 1
h S t i 'i o M
U ^ O C3 £ O O
O P5 O O PH 2 2
X NA X
X X*** NA X
X*** NA
X*** NA
X*** NA
X*** NA X
X*** NA X
X*** NA X
X*** NA X
X*** NA X
X*** NA
X*** NA
X*** NA
1
^
Potential Matrix Effect (Data I
X
X
X
Comments:
1. No matrix spikes, dups/reps, or CCVs were reviewed for batches containing samples 501 and 508.
2. Documentation of data entry check was not reviewed for any samples.
3. QAPP holding time goals were exceeded for all samples analyzed.
4. Blank results for all sample batches, except the batch containing sample 501, were > 3 times the MDL a
follows: 1/1 blanks included in sample 508 batch; 1/3 blanks included in the sample 533 batch;
3/3 blanks included in the sample 568 batch and 1/3 blanks included in the sample 566 batch.
5. Correlation coefficients is not applicable is this analysis (blank and one other point curve).
6. A blank correction was used for sample 501. Sample was diluted with the lab water.
7. Potential matrix effects are indicated for samples 566, 809, and 872 based on matrix spike recoveries.
Footnotes:
" * " Refer to the Standard Operating Procedures.
" ** " Holding time goal only.
" *** " Blanks were reported above the MDL. Lab water was used as the blank water but not in the sample digestion process.
Procedures have been modified to correct this.
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Dry Season Sampling: May 1999
Summarized Findings for 10% of the Critical Parameters Reviewed
Total Organic Carbon in Surface Water Analyzed By SERC
Sample ID by QC
Batch
M4-501-SWF
M4-508-SWF
M4-533-SWF
M4-538-SWF
M4-548-SWF
M4-556-SWF
M4-566-SWF
M4-568-SWF
M4-576-SWF
M4-586-SWF
M4-594-SWF
M4-599-SWF
M4-809-SWF
M4-872-SWF
u
"8
M
1
"9
Oi
.1
1
hH
"o
Z
Oi
«
03
X
"E
1
NO
.3
1
^
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_r
u
J-
u
£>
•8
n
*
*
*
X
i
u
w ^ *
1 , a 1 ^
S 1 ^ (2 1
Q 'S A ^ 1
•— Ci ^ «*- v
^ *- « - ^
U! 0 g ° *
a Z ™ W -S
S > = li §
o U 5 o «
a u M u u
X
X
X
X
.=
•B 'S
S -, M
« 5 -
I 1 •=
« E 1
'C a .2
*S °" ^
u ^
1 "s. I
'SOB
£ o o
PH Z Z
SAMPLE
*
*
*
*
*
*
*
*
*
X
X
X
X
X
X
X
X
X
?
Z
£.
"
3
"S
S
u
S
td
X
•c
"S
g
c
1
Comments:
1. Holding times were exceeded for all samples.
2. Based on the Sept. 99 technical review of the SERC laboratory, the QA/QC check standards that were being
used were made in 1998. Standards should be prepared at least every 2 months.
3. Based on the Sept. 99 technical review of the SERC laboratory, it was noted that sample injection volumes
were slightly less than was indicated by the setting of the pipette system (~4%).
4. The laboratory comparisons that were performed did show a bias between the two laboratories. It is unknown why the
laboratory results don't compare, but each laboratory is using a different method and instrument.
Footnotes:
" * " Refer to the Standard Operating Procedures.
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Dry Season Sampling: May 1999
Summarized Findings for 10% of the Critical Parameters Reviewed
Total Phosphorus in Soil Analyzed By SERC
Sample ID by QC
Batch
M4-508-SFF
M4-533-SFF
M4-538-SFF
M4-594-SFF
M4-501-SFF
M4-548-SFF
M4-556-SFF
M4-566-SFF
M4-568-SFF
M4-576-SFF
M4-586-SFF
M4-599-SFF
M4-809-SFF
M4-872-SFF
0
«
« J
•o ,o s —
1 £ » ^ 1
C £ X _ "S "= ^ •« W
If-' j * 1 - 1 a
S | 1 « o f £ 1 * ?
* i i H ? 1 1 I ! 1
cSu g SsZ fe c S" (2
! !• £ p 55 1 1 a a e< 5
S= M = (2r^* o a a
L.^td S^i ®™ 3^
»;.fc_«2>- c |i §™QP3
^L2«oU^o«^oo
pHgnauMuupHZZ
* X
* X
* X
*
*
*
*
*
*
*
*
*
*
*
?
Z
£.
J
^
s
C5
trix Effect (D
C3
§
"3
c
1
Comments:
1. No blank results were reviewed for sample 508 batch.
2. QAPP holding time goals were exceeded for all samples analyzed.
3.1/4 dups analyzed in the sample 594 batch exceeded RPD DQOs.
4.1/9 stds analyzed in the sample 594 batch exceeded %R DQOs.
Footnotes:
" * " Holding time goal only.
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Dry Season Sampling: May 1999
Summarized Findings for 10% of the Critical Parameters Reviewed
Soil Ash-Free Dry Weight Analyzed By SERC
Sample ID by QC
Batch
M4-501-SFF
M4-508-SFF
M4-533-SFF
M4-538-SFF
M4-548-SFF
M4-556-SFF
M4-566-SFF
M4-568-SFF
M4-576-SFF
M4-586-SFF
M4-594-SFF
M4-599-SFF
M4-809-SFF
M4-872-SFF
1
M A
•s ,o "s
1 £ •s °
§ 1 3 , s
| | 2 | j i J
ii!|J*l!
i t " i i i « i
1-1-3155
s •- H ~ ^ 2 . °
Precision Criteria Not Met
No Dups/Reps Reviewed
No Blanks Reviewed in Batch
X
X
X
I
-------
EPA SESD South Florida Phase II Dry Season Sampling: May 1999
Summarized Findings for 10% of the Critical Parameters Reviewed
Soil Bulk Density Analyzed By SERC
Sample ID by QC
Batch
M4-508-SFF
M4-533-SFF
M4-538-SFF
M4-594-SFF
M4-501-SFF
M4-548-SFF
M4-556-SFF
M4-566-SFF
M4-568-SFF
M4-576-SFF
M4-586-SFF
M4-599-SFF
M4-809-SFF
M4-872-SFF
1
S f •§ <3
111, | 1
liilsill
^ *- ^ y ^2^ «
^Sow M ^ ^*H ^
I 1 ! I 1 1 5 I
l^-s^i^sS
s -c w -s z 3 . 1
i "1 -S — f* a ^ s
fiSoauSou
i
"o
03
:cision Criteri
Z
PH
•g
1
Dups/Reps Ri
o
X
X
X
X
X
X
X
X
X
X
X
X
X
X
•5
3
•d
u
£
a
i
1
1
«
o
X
«
5
&
a
ential Matrix
£
Comments:
1. All project samples for this parameter were analyzed in the same analytical batch.
2. No dups/reps were reviewed for this analytical batch.
Footnotes:
" X " Indicates this situation did occur.
-------
Battelle
-------
EPA SESD South Florida Phase II Dry Season Sampling: May 1999
Summarized Findings for 10% of the Critical Parameters Reviewed
Methylmercury in Surface Water Analyzed By Battelle Laboratory
Sample ID by QC
Batch
M4-500-SWB
M4-538-SWB
M4-556-SWB
M4-566-SWB
M4-576-SWB
M4-809-SWB
M4-901-SWB
^
B
L.
trix Spike Not Reviewed fo
i
ta Entry Check Not Noted
ding Time Exceeded
V Not Reviewed
a a b
*
*
*
*
*
3
nk Result >3 MDL
rr. Coef. Not Reviewed
nnot Reproduce Results Ca
S o a
« O O
cision Criteria Not Met
£
Dups/Reps Reviewed
o
Blanks Reviewed in Batch
o
**
**
**
**
**
* **
* **
"o
Z
S
ential Matrix Effect (Data
(S
Comments:
1. Instrument blanks were not reviewed for any samples.
2. Documentation of data entry check was not reviewed for any samples.
Footnotes:
" * " Refer to the Standard Operating Procedures.
" ** " Method blanks were reported only.
" X " Indicates this situation did occur.
-------
NON-CRITICAL QA/QC SUMMARIES
-------
SERC
-------
Non-Critical Parameters Analyzed by SERC
Review of the May, 1999 (M4) Data Set
Analysis
NH4
NO2
NO3
PO4
CH4
C02
APA
Mineral Content
Diatoms
Pigments
Chlorophyll a
Ethyl Mercury
Supporting Documentation
a
S
a
0
's1
PH
1
X
X
X
X
X
X
X
X
X
**
**
**
•g
(J,
C3
PH
a
5
X
X
X
X
X
X
X
X
X
**
**
**
Laboratory Records
a
0
8
!>
o
Calibrati
X
X
X
X
X
X
NR
NA
X
**
**
**
g
H
Q
a
,0
w
bo
'w
t
X
X
X
X
X
X
X
X
X
**
**
**
T3
N
<
S£
Paramete
X
X
X
X
X
X
X
X
X
**
**
**
13
rg
'a
CO
X
X
X
X
NR
NR
NR
NA
NR
**
**
**
T3
s
3
«
1
f
Q
X
X
X
X
X
X
X
X
NR
**
**
**
So
0
0
c
a
S
C3
s
Instrume
X
X
X
X
X
X
X
X
NR
**
**
**
bo
o
^o
S
CO
1
m
X
X
X
X
X
X
X
X
NR
**
**
**
bo
S
X
X
X
X
X
X
X
X
NR
**
**
**
$
"§
S
S
o
o
y
1
CO
X
X
X
X
NR
NR
NR
X
NR
**
**
**
•.§
§
C3
t5
1
Performc
X
X
X
NR
NR
NR
NR
NR
NR
**
**
**
Footnotes:
" * " Analyses are in the process of being analyzed.
" ** " No analyses required.
"NR" Not Reviewed
" NA " Not Applicable
" X " Indicates this situation did occur.
-------
Battelle
-------
Non-Critical Parameters Analyzed by Battelle Laboratories
Review of the May, 1999 (M4) Data Set
Analysis
Total Mercury (water)
Methylmercury (soil)
Methylmercury (floe)
Methylmercury (periphyton)
Supporting Documentation
a
PH
-^
a
o
Q'
PH
O
X
X
X
X
•§
3
PH
"§
s
a
o
o
a
1
CO
NR
NR
NR
NR
01
0
§
>
W
o
g
1
NR
NR
NR
NR
Footnotes:
"NR" Not Reviewed
" X " Indicates this situation did occur.
-------
CRITICAL QA/QC REVIEW
-------
Water - SERC
-------
Recalculated Results for 10% of the Total Phosphorus in Surface Water Sample Set
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 11/30/99, njs 12/3/99
J \ /
Checked by jtm 1/6/00
Sample
M4-508-SWF
M4-538-SWF
M4-548-SWF
M4-556-SWF
M4-566-SWF
M4-568-SWF
M4-576-SWF
M4-586-SWF
M4-594-SWF
M4-599-SWF
M4-809-SWF
M4-872-SWF
Sample
UMS
UMS
MS
MS
CCV
CCV
CCV
CCV
CCV
CCV
CCV
M537
M537D
M561
M561D
M574
M574D
M599
M599D
Digestion Blk
Digestion Blk
QC Batch
08-06-99 Channel 2
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
NO SAMPLE
Qualifier
Note
"M"
"M"
"**"
"**"
Dilution
1
1
1
1
1
1
1
1
1
1
1
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Rep
um
1.20
1.08
0.26
0.19
0.31
0.17
0.53
0.49
0.47
0.31
0.30
Rep
um
0.138422
0.133859
1.02088
1.092386
1.493456
1.48841
1.520315
1.520315
1.497409
1.513901
1.483366
0.764442
0.693524
1.877519
1.649798
0.269442
0.267805
0.466677
0.475123
0.586559
0.169684
Base Line
Factor
um
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
Base Line
Factor
um
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
Peak-
Base Line
um
1.29
1.17
0.35
0.28
0.4
0.26
0.624
0.577
0.556
0.402
0.39
Peak-
Base Line
um
0.228
0.224
1.111
1.182
1.583
1.578
1.610
1.610
1.587
1.604
1.573
0.854
0.784
1.968
1.740
0.359
0.358
0.557
0.565
0.677
0.260
MW
g
31
31
31
31
31
31
31
31
31
31
31
MW
g
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
Corrected
Peak
*MW
39.99
36.27
10.85
8.68
12.4
8.06
19.344
17.887
17.236
12.462
12.09
Corrected
Peak
*MW
7.08
6.94
34.44
36.65
49.09
48.93
49.92
49.92
49.21
49.72
48.77
26.49
24.29
60.99
53.93
11.14
11.09
17.26
17.52
20.97
8.05
Sample
Results
ppm
0.040
0.036
0.011
0.009
0.012
0.008
0.019
0.018
0.017
0.012
0.012
Sample
Results
ppm
0.00708
0.00694
0.03444
0.03665
0.04909
0.04893
0.04992
0.04992
0.04921
0.04972
0.04877
0.02649
0.02429
0.06099
0.05393
0.01114
0.01109
0.01726
0.01752
0.02097
0.00805
Detection
Limit
ppm
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
Detection
Limit*3
ppm
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
No sample was collected
SPK
CONC
(ppm)
0.0401
0.0401
0.05
0.05
0.05
0.05
0.05
0.05
0.05
R%
68.6
74.1
98.17
97.86
99.84
99.84
98.42
99.44
97.55
RPD
2.018
-6.236
8.659
12.285
0.456
-1.506
"**" Blanks were reported above the MDL. Lab water was used as the blank water but not in the sample digestion process. Procedures have been modified to correct this.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
-------
Recalculated Results for 10% of the Total Phosphorus in Surface Water Sample Set
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by njs 03-06-00
Checked by
Sample
M4-501-SWF
Sample
UMS
UMS
MS
MS
CCV
CCV
CCV
CCV
CCV
Digestion Blk
Digestion Blk Dup
11 -09-99 Channel 1
11 -09-99 Channel 1
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
"H"
Qualifier
Note
"**"
"**"
Dilution
1
Dilution
1
1
1
1
1
1
1
1
1
1
1
Rep
um
2.8344317
Rep
um
0.642113
0.611171
1.885198
1.922837
7.547741
7.94943
7.713398
7.920441
7.810336
0.467208
0.324104
Base Line
Factor
um
-0.45
Base Line
Factor
um
-0.45
-0.45
-0.45
-0.45
-0.45
-0.45
-0.45
-0.45
-0.45
-0.45
-0.45
Peak-
Base Line
um
3.284
Peak-
Base Line
um
1.092
1.061
2.335
2.373
7.998
8.399
8.163
8.370
8.260
0.917
0.774
MW
g
31
MW
g
31
31
31
31
31
31
31
31
31
31
31
Corrected
Peak
*MW
101.817383
Corrected
Peak
*MW
33.86
32.90
72.39
73.56
247.93
260.38
253.07
259.48
256.07
28.43
24.00
Sample
Results
ppm
0.102
Sample
Results
ppm
0.03386
0.03290
0.07239
0.07356
0.24793
0.26038
0.25307
0.25948
0.25607
0.02843
0.02400
Detection
Limit
ppm
0.0006
Detection
Limit*3
ppm
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
Sample was reanalyzed on 11-09-99.
SPK
CONC
(ppm)
0.0401
0.0401
0.25
0.25
0.25
0.25
0.25
R%
98.5
101.4
99.17
104.15
101.23
103.79
102.43
RPD
2.874
-1.599
Sample
M4-533-SWF
Sample
UMS
UMS
MS
MS
CCV
CCV
CCV
CCV
CCV
002b
002b-Duplicate
Digestion Blk
Digestion Blk
11 -08-99 Channel 2
11 -08-99 Channel 2
"
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
"H"
Qualifier
Note
"M" (NR)
"M" (NR)
"**"
"**"
Dilution
1
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
Rep
um
4.15
Rep
um
0.282074
0.309724
0.473718
0.581571
1.458868
1.50171
1.533685
1.541847
1.55805
1.208445
1.21742
0.586559
0.169684
Base Line
Factor
um
0
Base Line
Factor
um
0
0
0
0
0
0
0
0
0
0
0
0
0
Peak-
Base Line
um
4.150
Peak-
Base Line
um
0.282
0.310
0.474
0.582
1.459
1.502
1.534
1.542
1.558
1.208
1.217
0.587
0.170
MW
g
31
MW
g
31
31
31
31
31
31
31
31
31
31
31
31
31
Corrected
Peak
*MW
128.638282
Corrected
Peak
*MW
8.74
9.60
14.69
18.03
45.22
46.55
47.54
47.80
48.30
37.46
37.74
18.18
5.26
Sample
Results
ppm
0.129
Sample
Results
ppm
0.00874
0.00960
0.01469
0.01803
0.04522
0.04655
0.04754
0.04780
0.04830
0.03746
0.03774
0.01818
0.00526
Detection
Limit
ppm
0.0006
Detection
Limit*3
ppm
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
Sample was reanalyzed on 11-09-99.
SPK
CONC
(ppm)
R%
No spike added
No spike added
0.05
0.05
0.05
0.05
0.05
90.45
93.11
95.09
95.59
96.60
RPD
-9.344
-20.440
-0.740
"**" Blanks were reported above the MDL. Lab water was used as the blank water but not in the sample digestion process. Procedures have been modified to correct this.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 15 to 125% range.
"NR" Data was unavaliable for review.
"H" Analysis digestion performed after holding times have expired.
-------
Recalculated Results for 10% of the Total Nitrogen Sample Set
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc ll/30/99,njs 12/3/99 Checked byjtm 1/6/00
Sample
M4-501-SWF
Method Blk
CCV
QC CHECK
M4-508-SWF
Method Blk
CCV
QC CHECK
M4-533-SWF
M4-538-SWF
M4-548-SWF
M4-556-SWF
Method Blk
Method Blk
Method Blk
QC CHECK
CCV
CCV
UMS
MS
MSD
M4-568-SWF
M4-576-SWF
M4-586-SWF
M4-594-SWF
M4-599-SWF
QC-599
QC-599-DUP
Method Blk
Method Blk
Method Blk
QC CHECK
QC CHECK
CCV
UMS
MS
MSD
M4-566-SWF
M4-809-SWF
M4-872-SWF
Method Blk
Method Blk
Method Blk
QC CHECK
QC CHECK
CCV
UMS
MS
MSD
Qualifier
Note
"NR"
»**»
"NR"
No Sample
,**,
"DQO"
"DQO"
,**,
,,»»„
uttii
uttii
"M"
"M"
Dilution
1:10
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Repl
uM
172485
48612
Rep 2
uM
171475
38487
Rep 3
uM
151729
28525
Information was not Provided
684703
535115
46700
714826
695739
545591
37807
692031
704954
473656
37454
704188
Information was not Provided
532258
707980
640134
25908
79060
25672
655188
667998
694053
163178
531790
517371
562075
492921
796009
781529
712788
712788
727782
32428
38913
49809
499954
690152
709855
335909
618182
590507
337987
379303
406587
31327
35654
27287
522155
643389
631208
437051
590787
646740
571333
740035
650338
29682
50585
21609
679795
662450
680057
168819
535324
515613
544621
471658
823680
821147
700149
700149
689657
35506
28302
35709
580180
631733
633784
400566
643383
615465
369404
355621
392109
21013
33785
22116
532227
578379
603723
404652
591598
625091
577420
712903
635815
24182
43646
15354
712524
630057
681458
152700
565577
525167
540689
509015
798954
789371
706622
706622
73358
27407
41033
34505
556717
647739
625810
357801
596345
616454
336643
331947
411261
28646
24202
15431
497563
638163
590386
415914
622457
619866
Rep 4
uM
721796
635203
727782
650619
610675
Rep 5
uM
702294
639381
689657
621389
588524
Rep 6
uM
707545
674006
733358
651475
587068
Average
Replicates
uM
165230
38541
695132
518121
40654
707113
560337
720306
642096
26591
57764
20878
682502
653502
685189
161566
544230
519384
549128
491198
806214
797349
711726
706520
496932
31780
36083
40008
545617
656541
648822
364759
619303
607475
348011
355624
403319
26995
31214
21611
517315
619977
601931
419206
601614
630566
Blank
Correction
uM
46842
46842
46842
Corrected
Peak
uM
118388
-8301
648290
Slope
0.0000029
0.0000029
0.0000029
0.0000029
0.0000029
0.0000029
0.000002958
0.000002958
0.000002958
0.000002958
0.000002958
0.000002958
0.000002958
0.000002958
0.000002958
0.000002958
0.000002958
0.000002958
0.00000335
0.00000335
0.00000335
0.00000335
0.00000335
0.00000335
0.00000335
0.00000335
0.00000335
0.00000335
0.00000335
0.00000335
0.00000335
0.00000335
0.00000335
0.00000335
0.00000344
0.00000344
0.00000344
0.00000344
0.00000344
0.00000344
0.00000344
0.00000344
0.00000344
0.00000344
0.00000344
0.00000344
Average
Replicate
x Slope
0.34
-0.02
1.88
1.50
0.12
2.05
1.66
2.13
1.90
0.08
0.17
0.06
2.02
1.93
2.03
0.48
1.61
1.54
1.84
1.65
2.70
2.67
2.39
2.37
1.67
0.11
0.12
0.13
1.83
2.20
2.18
1.22
2.08
2.04
1.20
1.22
1.39
0.09
0.11
0.07
1.78
2.13
2.07
1.44
2.07
2.17
Dilution
Correction
10
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Sample
Results
ppm
3.43
-0.02
1.88
1.50
0.12
2.05
1.66
2.13
1.90
0.08
0.17
0.06
2.02
1.93
2.03
0.48
1.61
1.54
1.84
1.65
2.70
2.67
2.39
2.37
1.67
0.11
0.12
0.13
1.83
2.20
2.18
1.22
2.08
2.04
1.20
1.22
1.39
0.09
0.11
0.07
1.78
2.13
2.07
1.44
2.07
2.17
Detection
Limit
/3 times (ppm)
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
SPK
CONC
(ppm)
2
2
2
2
2
0
1
1
2
2
2
0
1
1
2
2
2
0
1
1
R%
94.00
102.63
100.9
96.65
101.3
113.2
105.8
91.5
110.1
108.8
85.4
81.4
88.9
106.6
103.5
62.7
72.7
RPD
4.672
34.831
1.928
-4.699
atrix effect based on matrix spike recovery outside of 75 to l25°-» r^
results are out of the Data Quality Objective/QAPP control limits.
"M" Analyte exhibits potential
"DQO" Precision and/or Accuracy
"NR" Data was unavailable for review.
"**" Blanks were reported above the MDL. Lab water was used as the blank water but not in the sample digestion process. Procedures have been modified to correct this.
-------
Recalculated Results for 10% of the Total Organic Carbon in Surface Water Sample Set
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 11/30/99, njs 12/3/99
Checked by jtm 1/6/00
Sample
M4-501-SWF
M4-508-SWF
M4-533-SWF
M4-538-SWF
M4-548-SWF
M4-556-SWF
M4-566-SWF
M4-568-SWF
M4-576-SWF
M4-586-SWF
M4-594-SWF
M4-599-SWF
M4-809-SWF
M4-872-SWF
Qualifier
Note
"H"
"H"
"H"
"H"
NO SAMPLE
"H"
"H"
"H"
"H"
"H"
"H"
"H"
"H"
"H"
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Result
ppm
40.02
22.54
33.56
40.72
30.59
21.29
22.21
22.73
30.78
26.91
35.08
22.47
22.56
Blank Factor
ppm
0
0
0
0
0
0
0
0
0
0
0
0
0
Sample
Results
ppm
40.02
22.54
33.56
40.72
NA
30.59
21.29
22.21
22.73
30.78
26.91
35.08
22.47
22.56
Detection
Limit
ppm
0.12
0.12
0.12
0.12
0.12
0.12
0.12
0.12
0.12
0.12
0.12
0.12
0.12
Sample
Method Blank
Method Blank
Method Blank
Method Blank
Method Blank
Method Blank
CCV10
CCV5
CCV10
CCV5
CCV10
UMS
UMS
MS
MS
537
537D
561
561D
574
574D
599
599D
894
894D
Qualifier
Note
*
*
*
*
*
*
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Result
ppm
1.05
1.116
1.231
0.993
1.083
0.893
10.82
6.077
10.67
6.149
10.74
7.865
7.789
13.95
13.96
34.63
35.52
27.81
28.83
Blank Factor
ppm
1.061
1.061
1.061
1.061
1.061
1.061
1.061
1.061
1.061
1.061
1.061
1.061
1.061
1.061
1.061
0
0
0
0
Sample
Results
ppm
-0.01
0.06
0.17
-0.07
0.02
-0.17
9.76
5.02
9.61
5.09
9.68
6.80
6.73
12.89
12.90
34.63
35.52
27.81
28.83
Detection
Limit *3
ppm
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
Spike
Cone
(ppm)
0
0
0
0
0
0
10
5
10
5
10
8
8
0
0
0
0
0
0
0
0
0
0
R%
97.59
100.32
96.09
101.76
96.79
76.06
77.14
RPD
1.123
-0.078
-2.537
-3.602
" * " Unable to verify
"H" Analysis digestion performed after holding times have expired.
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/1/99, njs 12/3/99 Checked by jtm 1/6/00
Sample
M4-508-SWF-1
M4-508-SWF-2
M4-508-SWF-3
M4-809-SWF-1
M4-809-SWF-2
M4-809-SWF-3
QA-511-SWF-1
QA-511-SWF-2
QA-511-SWF-3
QA-511-SWF-Matrix Spike
Instrament Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-11
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
QC
Batch
BK13EF1
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Reading
Peak Height
Rep 1,2,3
120.10
120.70
115.90
116.90
117.60
119.20
121.20
118.00
122.90
61.10
61.80
60.40
59.60
60.90
60.20
55.10
55.70
57.30
66.10
68.5
67.5
65.90
67.3
66.7
64.70
63.8
65
81.40
81
79.5
2.59
89.10
90.60
88.60
89.60
86.50
91.00
88.60
85.80
90.80
89.70
84.70
89.00
84.60
88.90
96.70
87.60
Method
Reagant Blank
Peak Hieght
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
4.5
Corrected
Reading
Peak Height
Rep 1,2,3
115.60
116.20
111.40
112.40
113.10
114.70
116.70
113.50
118.40
56.60
57.30
55.90
55.10
56.40
55.70
50.60
51.20
52.80
61.60
64.00
63.00
61.40
62.80
62.20
60.20
59.30
60.50
76.90
76.50
75.00
2.59
84.60
86.10
84.10
85.10
82.00
86.50
84.10
81.30
86.30
85.20
80.20
84.50
80.10
84.40
92.20
83.10
Y ratio
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
18.6
Hg
Concentration
ppt
6.39
6.43
6.16
6.22
6.26
6.34
6.45
6.28
6.55
3.13
3.17
3.09
3.05
3.12
3.08
2.80
2.83
2.92
3.41
3.54
3.48
3.40
3.47
3.44
3.33
3.28
3.35
4.25
4.23
4.15
0.14
4.68
4.76
4.65
4.71
4.54
4.78
4.65
4.50
4.77
4.71
4.44
4.67
4.43
4.67
5.10
4.60
Averaged
Result
ppt
6.33
6.27
6.34
3.13
3.08
3.02
3.40
3.20
3.41
4.21
4.67
DETECTION
LIMIT/*3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONC
(ppm)
1
1
1
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
R%
80.02
93.59
95.25
93.03
94.14
90.71
95.69
93.03
89.94
95.47
94.25
88.72
93.48
88.61
93.37
102.00
91.93
Standard
Deviation
0.14
0.07
0.13
0.04
0.04
0.14
0.07
0.04
0.08
0.06
0.20
Relative
Standard
Deviation
2.3
1.0
2.0
1.2
1.2
4.5
2.0
1.2
2.4
1.3
4.2
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/1/99, njs 12/3/99 Checked by jtm 1/6/00
Sample
M4-533-SWF-1
M4-533-SWF-2
M4-533-SWF-3
M4-538-SWF-1
M4-538-SWF-2
M4-538-SWF-3
QA-532-SWF-1
QA-532-SWF-2
QA-532-SWF-3
QA-532-SWF-Matrix Spike
Instrament Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-11
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
QC
Batch
HG12EF1
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Reading
Peak Height
Rep 1,2,3
39.10
41.90
40.30
42.70
40.20
41.30
37.20
39.20
38.20
57.30
58.10
59.80
55.80
54.30
55.10
59.30
55.70
59.80
58.20
60.4
59
60.10
58.8
62.9
60.20
59.8
60.1
77.00
76.5
78.3
3.07
72.80
73.00
72.90
74.20
68.30
70.60
78.20
72.20
72.80
69.60
77.30
75.50
80.00
76.50
76.10
74.90
Method
Reagant Blank
Peak Hieght
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
9.39
Corrected
Reading
Peak Height
Rep 1,2,3
29.71
32.51
30.91
33.31
30.81
31.91
27.81
29.81
28.81
47.91
48.71
50.41
46.41
44.91
45.71
49.91
46.31
50.41
48.81
51.01
49.61
50.71
49.41
53.51
50.81
50.41
50.71
67.61
67.11
68.91
3.07
63.41
63.61
63.51
64.81
58.91
61.21
68.81
62.81
63.41
60.21
67.91
66.11
70.61
67.11
66.71
65.51
Y ratio
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
15.7
Hg
Concentration
ppt
1.95
2.13
2.03
2.18
2.02
2.09
1.82
1.95
1.89
3.14
3.19
3.30
3.04
2.94
3.00
3.27
3.03
3.30
3.20
3.34
3.25
3.32
3.24
3.51
3.33
3.30
3.32
4.43
4.40
4.52
0.20
4.16
4.17
4.16
4.25
3.86
4.01
4.51
4.12
4.16
3.95
4.45
4.33
4.63
4.40
4.37
4.29
Averaged
Result
ppt
2.03
2.10
2.01
3.21
2.99
3.14
3.07
3.21
3.31
4.45
4.24
DETECTION
LIMIT/*3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONC
(ppm)
1
1
1
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
R%
113.51
83.10
83.37
83.23
84.94
77.21
80.22
90.18
82.32
83.10
78.91
89.00
86.64
92.54
87.95
87.43
85.86
Standard
Deviation
0.09
0.08
0.12
0.08
0.05
0.14
0.07
0.14
0.09
0.06
0.20
Relative
Standard
Deviation
4.5
3.9
5.8
2.6
1.6
4.4
2.4
4.3
2.6
1.4
4.8
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/1/99, njs 12/3/99 Checked by jtm 1/6/00
Sample
M4-548-SWF-1
M4-548-SWF-2
M4-548-SWF-3
QA-858-SWF-1
QA-858-SWF-2
QA-858-SWF-3
QA-858-SWF-Matrix Spike
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
QC
Batch
BK25EF1
"
"
"
"
"
"
"
"
HG24EFI
"
"
"
"
"
"
"
"
"
"
"
BK25EF1
"
"
"
"
"
Qualifier
Note
*
*
*
*
*
*
*
*
*
* "M"
* "M"
* "M"
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Reading
Peak Height
Rep 1,2,3
173.70
177.50
181.00
171.70
171.60
164.90
165.80
162.80
162.40
31.40
31.00
31.00
32.60
33.00
34.40
32.30
33.00
34.30
107.90
106.7
108.6
1.37
73.40
74.15
73.35
70.60
72.60
Method
Reagant Blank
Peak Hieght
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
3.57
Corrected
Reading
Peak Height
Rep 1,2,3
170.13
173.93
177.43
168.13
168.03
161.33
162.23
159.23
158.83
27.83
27.43
27.43
29.03
29.43
30.83
28.73
29.43
30.73
104.33
103.13
105.03
1.37
69.83
70.58
69.78
67.03
69.03
Y ratio
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
11.4
11.4
11.4
11.4
11.4
11.4
11.4
11.4
11.4
11.4
11.4
11.4
15.2
15.2
15.2
15.2
15.2
15.2
Hg
Concentration
ppt
11.52
11.77
12.01
11.38
11.37
10.92
10.98
10.78
10.75
2.51
2.48
2.48
2.62
2.66
2.78
2.59
2.66
2.77
9.42
9.31
9.48
0.09
4.73
4.78
4.72
4.54
4.67
Averaged
Result
ppt
11.77
11.22
11.28
2.49
2.69
2.62
9.40
4.69
DETECTION
LIMIT/*3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONC
(ppm)
5
5
5
5
5
5
5
5
R%
135.69
94.53
95.54
94.46
90.74
93.44
Standard
Deviation
0.25
0.26
0.45
0.02
0.09
0.12
0.09
0.09
Relative
Standard
Deviation
2.1
2.4
4.0
0.8
3.2
4.4
0.9
2.0
"*" A single digestion batch prepared on 5-34-99 was split into two runs. The matrix spike is reported in File HG24EFI and the sample under review is reported in File BK25EFI. The digestion batch demonstrates the digestion process was performed under certain criteria
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 70 to 130% range.
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/1/99, njs 12/3/99 Checked by jtm 1/6/00
Sample
M4-556-SWF-1
M4-556-SWF-2
M4-556-SWF-3
M4-556-SWF-Matrix Spike
M4-872-SWF-1
M4-872-SWF-2
M4-872-SWF-3
M4-501-SWF-1
M4-501-SWF-2
M4-501-SWF-3
Instrament Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-11
CCV-12
CCV-13
CCV-14
QC
Batch
HG21EF2
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Reading
Peak Height
Rep 1,2,3
51.70
53.60
55.70
53.60
55.80
54.00
53.50
52.40
50.30
143.90
150.90
145.40
39.00
41.70
38.80
35.60
36.00
34.40
36.40
38.50
37.60
300.70
292.50
290.40
293.40
290.00
297.40
296.60
296.30
296.10
2.46
106.50
106.60
109.80
111.10
105.30
105.70
108.10
103.20
110.30
106.60
103.00
106.80
107.60
102.90
Method
Reagant Blank
Peak Hieght
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
7.76
Corrected
Reading
Peak Height
Rep 1,2,3
43.94
45.84
47.94
45.84
48.04
46.24
45.74
44.64
42.54
136.14
143.14
137.64
31.24
33.94
31.04
27.84
28.24
26.64
28.64
30.74
29.84
292.94
284.74
282.64
285.64
282.24
289.64
288.84
288.54
288.34
2.46
98.74
98.84
102.04
103.34
97.54
97.94
100.34
95.44
102.54
98.84
95.24
99.04
99.84
95.14
Y ratio
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
19.8
Hg
Concentration
ppt
2.28
2.38
2.49
2.38
2.50
2.40
2.38
2.32
2.21
7.07
7.44
7.15
1.62
1.76
1.61
1.45
1.47
1.38
1.49
1.60
1.55
15.22
14.79
14.69
14.84
14.67
15.05
15.01
14.99
14.98
0.13
5.13
5.14
5.30
5.37
5.07
5.09
5.21
4.96
5.33
5.14
4.95
5.15
5.19
4.94
Averaged
Result
ppt
2.39
2.43
2.37
7.22
1.67
1.43
1.55
14.90
14.85
14.92
5.14
DETECTION
LIMIT/*3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONC
(ppm)
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
R%
96.99
102.61
102.71
106.04
107.39
101.36
101.78
104.27
99.18
106.56
102.71
98.97
102.92
103.75
98.87
Standard
Deviation
0.10
0.06
0.09
0.19
0.08
0.04
0.12
0.28
0.19
0.18
0.14
Relative
Standard
Deviation
4.4
2.5
3.9
2.7
5.0
3.0
7.4
1.9
1.3
1.2
2.6
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/1/99, njs 12/3/99 Checked by jtm 1/6/00
Sample
M4-566-SWF-1
M4-566-SWF-2
M4-566-SWF-3
M4-566-SFW-Matrix Spike
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
QC
Batch
HG20EF1
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Reading
Peak Height
Rep 1,2,3
22.60
24.90
24.40
23.00
22.80
22.50
23.80
23.20
23.70
90.90
97.40
97.80
3.35
68.60
69.40
63.60
65.00
63.60
65.00
65.80
63.20
64.80
64.40
Method
Reagant Blank
Peak Hieght
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
2.28
Corrected
Reading
Peak Height
Rep 1,2,3
20.32
22.62
22.12
20.72
20.52
20.22
21.52
20.92
21.42
88.62
95.12
95.52
3.35
66.32
67.12
61.32
62.72
61.32
62.72
63.52
60.92
62.52
62.12
Y ratio
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
11.7
Hg
Concentration
ppt
1.79
1.99
1.95
1.82
1.80
1.78
1.89
1.84
1.88
7.79
8.36
8.40
0.29
5.83
5.90
5.39
5.52
5.39
5.52
5.59
5.36
5.50
5.46
Averaged
Result
ppt
1.91
1.80
1.86
8.19
5.54
DETECTION
LIMIT/*3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONC
(ppm)
5
5
5
5
5
5
5
5
5
5
5
5
5
R%
126.50
116.63
118.04
107.84
110.30
107.84
110.30
111.71
107.14
109.95
110.90
Standard
Deviation
0.11
0.02
0.07
0.34
0.18
Relative
Standard
Deviation
5.6
1.2
3.9
4.2
3.3
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/1/99, njs 12/3/99 Checked by jtm 1/6/00
Sample
M4-568-SWF-1
M4-568-SWF-2
M4-568-SWF-3
M4-586-SWF-1
M4-586-SWF-2
M4-586-SWF-3
No Matrix Spike with Batch
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-11
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
QC
Batch
HG11EF2
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
"M" (NR), "*"
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Reading
Peak Height
Rep 1,2,3
36.4
35.9
35.7
32.7
33.2
29.9
33.2
33
33.5
182.30
182.90
183.40
186.00
185.70
185.90
184.70
180.80
184.10
3.35
79.4
79.5
81.7
78.7
76.7
79
77.3
76.7
74.4
77.1
80.3
81.6
78.7
77.2
73.6
74.7
Method
Reagant Blank
Peak Hieght
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
4.51
Corrected
Reading
Peak Height
Rep 1,2,3
31.89
31.39
31.19
28.19
28.69
25.39
28.69
28.49
28.99
177.79
178.39
178.89
181.49
181.19
181.39
180.19
176.29
179.59
3.35
74.89
74.99
77.19
74.19
72.19
74.49
72.79
72.19
69.89
72.59
75.79
77.09
74.19
72.69
69.09
70.19
Y ratio
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
15.6
Hg
Concentration
ppt
2.10
2.07
2.06
1.86
1.89
1.67
1.89
1.88
1.91
11.73
11.76
11.80
11.97
11.95
11.96
11.88
11.63
11.84
0.22
4.94
4.95
5.09
4.89
4.76
4.91
4.80
4.76
4.61
4.79
5.00
5.08
4.89
4.79
4.56
4.63
Averaged
Result
ppt
2.08
1.81
1.93
11.76
11.96
11.84
4.85
DETECTION
LIMIT/*3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONC
(ppm)
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
R%
98.78
98.91
101.81
97.85
95.22
98.25
96.01
95.22
92.18
95.74
99.97
101.68
97.85
95.88
91.13
92.58
Standard
Deviation
0.02
0.12
0.13
0.04
0.01
0.12
0.16
Relative
Standard
Deviation
1.1
6.5
6.9
0.3
0.1
1.0
3.3
" * " Analyst Error, Sample was not spiked by mistake.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 70 to 130% range.
"NR" Data we--, ruiuvnlmble for review.
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/1/99, njs 12/3/99 Checked by jtm 1/6/00
Sample
M4-576-SWF-1
M4-576-SWF-2
M4-576-SWF-3
M4-576-SWF-Matrix Spike
M4-594-SWF-1
M4-594-SWF-2
M4-594-SWF-3
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
QC
Batch
HG07EFI
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Reading
Peak Height
Rep 1,2,3
54.40
52.1
54.8
46.10
45.5
46.7
65.60
64.3
63.9
75.80
75
74.2
58.30
60.5
61.6
58.10
57.2
57.1
55.90
55.2
58
0.60
85.60
83.40
92.10
90.40
84.90
85.90
89.40
87.60
84.90
86.20
Method
Reagant Blank
Peak Hieght
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
6.78
Corrected
Reading
Peak Height
Rep 1,2,3
47.62
45.32
48.02
39.32
38.72
39.92
58.82
57.52
57.12
69.02
68.22
67.42
51.52
53.72
54.82
51.32
50.42
50.32
49.12
48.42
51.22
0.60
78.82
76.62
85.32
83.62
78.12
79.12
82.62
80.82
78.12
79.42
Y ratio
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
17.4
Hg
Concentration
ppt
2.82
2.68
2.84
2.32
2.29
2.36
3.48
3.40
3.38
4.08
4.03
3.99
3.05
3.18
3.24
3.03
2.98
2.98
2.90
2.86
3.03
0.04
4.66
4.53
5.04
4.94
4.62
4.68
4.89
4.78
4.62
4.70
Averaged
Result
ppt
4.14
3.25
2.84
4.03
3.54
3.40
3.03
4.75
DETECTION
LIMIT/*3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONC
(ppm)
1
1
1
5
5
5
5
5
5
5
5
5
5
R%
119.30
93.21
90.61
100.89
98.88
92.38
93.56
97.70
95.57
92.38
93.92
Standard
Deviation
0.09
0.04
0.48
0.05
0.10
0.03
0.12
0.16
Relative
Standard
Deviation
2.1
1.1
16.9
1.2
2.8
1.0
4.0
3.5
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/1/99, njs 12/3/99 Checked by jtm 1/6/00
Sample
M4-599-SWF-1
M4-599-SWF-2
M4-599-SWF-3
M4-599-SWF-Matrix Spike
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-11
CCV-12
CCV-13
CCV-14
QC
Batch
HG10EF1
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
"M"
"M"
"M"
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Reading
Peak Height
Rep 1,2,3
44.00
43.50
42.80
43.80
40.00
44.40
45.20
42.80
43.60
61.20
63.6
64.1
4.44
81.50
80.90
83.50
83.70
82.80
80.10
75.10
72.50
81.60
78.10
79.50
79.50
80.90
79.90
Method
Reagant Blank
Peak Hieght
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
5.28
Corrected
Reading
Peak Height
Rep 1,2,3
38.72
38.22
37.52
38.52
34.72
39.12
39.92
37.52
38.32
55.92
58.32
58.82
4.44
76.22
75.62
78.22
78.42
77.52
74.82
69.82
67.22
76.32
72.82
74.22
74.22
75.62
74.62
Y ratio
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
Hg
Concentration
ppt
2.66
2.62
2.57
2.64
2.38
2.68
2.74
2.57
2.63
3.84
4.00
4.03
0.30
5.23
5.19
5.36
5.38
5.32
5.13
4.79
4.61
5.23
4.99
5.09
5.09
5.19
5.12
Averaged
Result
ppt
4.01
3.29
2.61
3.96
5.12
DETECTION
LIMIT/*3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONC
(ppm)
1
1
1
5
5
5
5
5
5
5
5
5
5
5
5
5
5
R%
134.58
104.55
103.73
107.30
107.57
106.34
102.63
95.77
92.21
104.69
99.89
101.81
101.81
103.73
102.36
Standard
Deviation
0.04
0.16
0.08
0.11
0.21
Relative
Standard
Deviation
1.0
5.0
3.2
2.7
4.1
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 70 to 130% range.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-501-SWF Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-1 1-99/No Time
5-26-99/1130
11/09/99
X
FW=SW
5-1 1-99/No Time
8-30-99/1646
9-2-99/1623
X
FW=SW
5-1 1-99/No Time
No Digestion
06/13/99
X
FW=SW
5-1 1-99/No Time
05/20/99
05/21/99
X
FW=SW
5-1 1-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.102
ppm
EPA 365.1
Raw Data Initialed
O.OOOSppm (O.Olmnol/L 97)
Injection Vial
Injection Vial
sample aliquot
1:10
3.43
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
40.02
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
14.95
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
X
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
NR
0.718
100%
95%
0.0006-0.2 ppm
0.997
By Run Date/ID
-0.02 ppm
NR
1 RPD (NR)
95% R (NR)
94%
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
0.128 ppt
0.9988
File ID
NA
I!
**
No
Yes
No
Yes
"H"
Yes
Yes
SESD is main lab
Notes
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeHg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
M4-501-SWF Surface Water
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
InHg Lab Area
Validation Criteria
NA
"
I!
"
I!
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
X
NA
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Applied Qualifiers^
"H"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-508-SWF
Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-1 1-99/No Time
5-26-99/1130
08/06/99
X
FW=SW
5-1 1-99/No Time
5-26, 8-27-99/1220
8-30-99/0957
X
FW=SW
5-1 1-99/No Time
No Digestion
06/13/99
X
FW=SW
5-1 1-99/No Time
5-12-99/1800
05/13/99
X
FW=SW
5-1 1-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.04
ppm
EPA 365.1
Raw Data Initialed
0.0006ppm
Injection Vial
Injection Vial
sample aliquot
1
1.504
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
22.53
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
6.35
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
No
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
RecalibrationBlks Good
Sample Dups-Good
74%
CCV %R Good
0.0006-0.2 ppm
0.9958
By Run Date/ID
0.12>MDL
NR
2 RPD (NR)
65% (NR)
102.1 %R
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
0.14 ppt
0.9998
File ID
No
Yes
"**", "M"
No
Not All Info Given
"**", "M"
No
Yes
"H"
Yes
Yes
Notes
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeFlg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Station ID M4-508-SWF
Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory u
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
ses the same ID as the
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
In Hg Lab Area
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
I!**!! IIA/TII
M"
I!**!! IIA/TII
M"
"H"
X
X
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-533-SWF Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-10-99/No Time
5-26-99/1130
11/09/99
X
FW=SW
5-10-99/No Time
5-26,8-27-99/1220
8-30-99/1338
X
FW=SW
5-10-99/No Time
No Digestion
06/13/99
X
FW=SW
5-10-99/No Time
05/12/99
05/13/99
X
FW=SW
5-10-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.129
ppm
EPA 365.1
Raw Data Initialed
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
1.657
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
33.56
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
2.01
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
No
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
RecalibrationBlks Good
Sample Dups-Good
NR
CCV %R Good
0.0006-0.2 ppm
0.998
By Run Date/ID
lof3>MDL
NR
1.7 RPD
109. 5% Average
100.9 %R
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
0.2ppt
0.9998
File ID
No
Yes
"**", "M"
No
Yes
I!**!!
No
Yes
"H"
Yes
Yes
Notes
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeFlg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
M4-533-SWF Surface Water
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
uses the same ID as th
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
e Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
In Hg Lab Area
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
I!**!! IIA/TII
, "M"
"H"
X
X
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-538-SWF Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-10-99/No Time
5-26-99/1130
08/06/99
X
FW=SW
5-10-99/No Time
5-26, 8-27-99/1220
8-30-99/1338
X
FW=SW
5-10-99/No Time
No Digestion
06/13/99
X
FW=SW
5-10-99/No Time
05/12/99
05/13/99
X
FW=SW
5-10-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
aliquot
1
0.036
ppm
EPA 365.1
Raw Data Initialed
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
2.131
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
40.72
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
3.14
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
No
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
RecalibrationBlks Good
Sample Dups-Good
Reported 74% (NR)
CCV %R Good
0.0006-0.2 ppm
0.9958
By Run Date/ID
lof3>MDL
NR
1.7 RPD
109. 5% Average
100.9 %R
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
0.2ppt
0.9998
File ID
No
Yes
"**", "M"
No
Yes
I!**!!
No
Yes
"H"
Yes
Yes
Notes
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeFlg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
M4-538-SWF Surface Water
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
uses the same ID as th
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
e Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
In Hg Lab Area
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
I!**!! IIA/TII
, "M"
"H"
X
X
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-548-SWF Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-9-99/No Time
Sample Lost
Sample Lost
X
FW=SW
5-9-99/No Time
Sample Lost
Sample Lost
X
FW=SW
5-9-99/No Time
Sample Lost
Sample Lost
X
FW=SW
5-9-99/No Time
5-23-99/1800
05/25/99
X
FW=SW
5-9-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
EPA 365.1
Raw Data Initialed
0.0003ppm (O.Olumol/L 97)
ppm
Antek
Raw Data Initialed
0.03 ppm
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
11.27
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
Yes (FLD)
X
Yes
Yes
28 days
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
By Run Date/ID
By Run Date/ID
File ID
X
0.093 ppt
0.9998
File ID
Yes
Yes
"M"
Notes
Sample container or containers for total phosphorus, total nitrogen and TOC were misplaced and therefore analysis could
not be performed.
Total Hg analysis: No method blanks and no blank spike recoveries were reported.
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeHg.
MeHg results from FIU are pending.
-------
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
M4-548-SWF Surface Water
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
uses the same ID as th
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
e Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
In Hg Lab Area
"M"
NA
NA
NA
X
X
X
Notes on Printouts
X
Notes on Printouts
uM
uM
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-556-SWF Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Notes
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-8-99/No Time
5-26-99/1130
08/06/99
X
FW=SW
5-8-99/No Time
5-26, 8-27-99/1220
8-30-99/1338
X
FW=SW
5-8-99/No Time
No Digestion
06/13/99
X
FW=SW
5-8-99/No Time
05/20/99
05/21/99
X
FW=SW
5-8-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
aliquot
1
0.011
ppm
EPA 365.1
Raw Data Initialed
O.OOOSppm (O.Olmnol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
1.90
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
30.59
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
2.38
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
No
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
28 days
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
RecalibrationBlks Good
Sample Dups-Good
74%
CCV %R Good
0.0006-0.2 ppm
0.9958
By Run Date/ID
1 of3>MDL
NR
1.7 RPD
109. 5% Average
100.9 %R
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
.128ppt
0.9988
File ID
No
Yes
"**", "M"
No
Yes
I!**!!
No
Yes
"H"
Yes
Yes
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeHg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Station ID
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
M4-556-SWF Surface Water
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
InHg Lab Area
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
X
X
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Applied Qualifiers^
Data Qualifiers/Footnotes:
I!**!! IIA/TII
M"
"H"
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-566-SWF
Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-7-99/No Time
5-26-99/1130
08/06/99
X
FW=SW
5-7-99/No Time
5-26-99/1030,Date Not Noted
8-4-99/1507
X
FW=SW
5-7-99/No Time
No Digestion
06/13/99
X
FW=SW
5-7-99/No Time
05/19/99
05/20/99
X
FW=SW
5-7-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.009
ppm
EPA 365.1
Raw Data Initialed
O.OOOSppm (O.Olmnol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
1.197
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
21.29
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
1.86
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
No
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
28 days
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
RecalibrationBlks Good
Sample Dups-Good
74%
CCV %R Good
0.0006-0.2 ppm
0.9958
By Run Date/ID
lof3>MDL
NR
-3. 68 RPD
62.7, 72.7% R
88.9%, 106.6%R
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
0.295 ppt
0.996
File ID
No
Yes
"**", "M"
No
Yes
"**", "M"
No
Yes
"H"
Yes
Yes
Notes
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
For Total Nitrogen Analysis, 1 of 3 instrument blanks were above the 3 times MDL limit.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeHg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Station ID M4-566-SWF
Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
uses the same ID as the
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
InHg Lab Area
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
X
X
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Applied Qualifiers^
Data Qualifiers/Footnotes:
I!**!! IIA/TII
M"
I!**!! IIA/TII
M"
"H"
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-568-SWF Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Notes
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-7-99/No Time
5-26-99/1130
08/06/99
X
FW=SW
5-7-99/No Time
5-26-99/1030
8-4-99/1155
X
FW=SW
5-7-99/No Time
No Digestion
06/13/99
X
FW=SW
5-7-99/No Time
5-10-99/1800
05/11/99
X
FW=SW
5-7-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.012
ppm
EPA 365.1
Raw Data Initialed
O.OOOSppm (O.Olmnol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
1.842
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
22.21
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
1.93
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
No
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
28 days
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
RecalibrationBlks Good
Sample Dups-Good
74%
CCV %R Good
0.0006-0.2 ppm
0.9958
By Run Date/ID
3of3>MDL
NR
1.2 RPD
83.4%R
100.8 - 108 %R
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
0.221 ppt
0.9995
File ID
No
Yes
"**", "M"
No
Yes
I!**!!
No
Yes
"H"
Yes
Yes
"M (NR)"
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeHg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
M4-568-SWF Surface Water
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
uses the same ID as th
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
e Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
InHg Lab Area
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
X
X
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Applied Qualifiers^
Data Qualifiers/Footnotes:
I!**!! IIA/TII
M"
"H"
"M (NR)"
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-576-SWF Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Notes
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-4-99/No Time
5-26-99/1130
08/06/99
X
FW=SW
5-4-99/No Time
5-26-99/1030
8-4-99/1155
X
FW=SW
5-4-99/No Time
No Digestion
06/13/99
X
FW=SW
5-4-99/No Time
5-6-99/1800
05/07/99
X
FW=SW
5-4-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.008
ppm
EPA 365.1
Raw Data Initialed
O.OOOSppm (O.Olmnol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
1.648
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
22.73
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
2.84
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
No
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
28 days
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
RecalibrationBlks Good
Sample Dups-Good
74%
CCV %R Good
0.0006-0.2 ppm
0.9958
By Run Date/ID
3of3>MDL
NR
1.2 RPD
83.4%R
100.8 - 108 %R
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
0.03 ppt
0.9994
File ID
No
Yes
"**", "M"
No
Yes
I!**!!
No
Yes
"H"
Yes
Yes
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeHg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Station ID
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
M4-576-SWF Surface Water
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
uses the same ID as th
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
e Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
InHg Lab Area
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
X
X
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Applied Qualifiers^
Data Qualifiers/Footnotes:
I!**!! IIA/TII
M"
"H"
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-586-SWF Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Notes
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-6-99/No Time
5-26-99/1130
08/06/99
X
FW=SW
5-6-99/No Time
5-26-99/1030
8-4-99/1155
X
FW=SW
5-6-99/No Time
No Digestion
06/13/99
X
FW=SW
5-6-99/No Time
5-10-99/1800
05/11/99
X
FW=SW
5-6-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.019
ppm
EPA 365.1
Raw Data Initialed
O.OOOSppm (O.Olmnol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
2.705
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
30.78
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
11.85
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
No
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
28 days
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
RecalibrationBlks Good
Sample Dups-Good
74%
CCV %R Good
0.0006-0.2 ppm
0.9958
By Run Date/ID
3of3>MDL
NR
1.2 RPD
83.4%R
100.8 - 108 %R
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
0.221 ppt
0.9995
File ID
No
Yes
"**", "M"
No
Yes
I!**!!
No
Yes
"H"
Yes
Yes
"M (NR)"
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeHg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
M4-586-SWF Surface Water
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
uses the same ID as th
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
e Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
InHg Lab Area
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
X
X
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Applied Qualifiers^
Data Qualifiers/Footnotes:
I!**!! IIA/TII
M"
"H"
"M (NR)"
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-594-SWF Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Notes
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-5-99/No Time
5-26-99/1130
08/06/99
X
FW=SW
5-5-99/No Time
5-26-99/1030
8-4-99/1155
X
FW=SW
5-5-99/No Time
No Digestion
06/13/99
X
FW=SW
5-5-99/No Time
5-6-99/1800
05/07/99
X
FW=SW
5-5-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.018
ppm
EPA 365.1
Raw Data Initialed
O.OOOSppm (O.Olmnol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
2.675
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
26.91
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
3.02
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
No
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
28 days
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
RecalibrationBlks Good
Sample Dups-Good
74%
CCV %R Good
0.0006-0.2 ppm
0.9958
By Run Date/ID
3of3>MDL
NR
1.2 RPD
83.4%R
100.8 - 108 %R
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
0.03 ppt
0.9994
File ID
No
Yes
"**", "M"
No
Yes
I!**!!
No
Yes
"H"
Yes
Yes
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeHg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Station ID
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
M4-594-SWF Surface Water
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
uses the same ID as th
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
e Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
InHg Lab Area
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
X
X
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Applied Qualifiers^
Data Qualifiers/Footnotes:
I!**!! IIA/TII
M"
"H"
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-599-SWF Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Notes
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-6-99/No Time
5-26-99/1130
08/06/99
X
FW=SW
5-6-99/No Time
5-26-99/1030
8-4-99/1155
X
FW=SW
5-6-99/No Time
No Digestion
06/13/99
X
FW=SW
5-6-99/No Time
5-9-99/1800
05/10/99
X
FW=SW
5-6-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.017
ppm
EPA 365.1
Raw Data Initialed
O.OOOSppm (O.Olmnol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
2.388
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
35.08
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
2.64
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
No
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
28 days
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
RecalibrationBlks Good
Sample Dups-Good
74%
CCV %R Good
0.0006-0.2 ppm
0.9958
By Run Date/ID
3of3>MDL
NR
1.2 RPD
83.4%R
100.8 - 108 %R
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
0.3ppt
0.9998
File ID
No
Yes
"**", "M"
No
Yes
I!**!!
No
Yes
"H"
Yes
Yes
"M"
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeHg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
M4-599-SWF Surface Water
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
uses the same ID as th
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
e Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
InHg Lab Area
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
X
X
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Applied Qualifiers^
Data Qualifiers/Footnotes:
I!**!! IIA/TII
M"
"H"
"M"
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-809-SWF Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Notes
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-1 1-99/No Time
5-26-99/1130
08/06/99
X
FW=SW
5-1 1-99/No Time
5-26-99/1030,Date Not Noted
8-4-99/1507
X
FW=SW
5-1 1-99/No Time
No Digestion
06/13/99
X
FW=SW
5-1 1-99/No Time
05/20/99
05/21/99
X
FW=SW
5-1 1-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.012
ppm
EPA 365.1
Raw Data Initialed
O.OOOSppm (O.Olmnol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
1.223
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
22.47
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
3.02
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
No
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
28 days
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
RecalibrationBlks Good
Sample Dups-Good
74%
CCV %R Good
0.0006-0.2 ppm
0.9958
By Run Date/ID
1 of3>MDL
NR
-3. 68 RPD
62.7, 72.7% R
88.9%- 106.6%R
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
0.14 ppt
0.9998
File ID
No
Yes
"**", "M"
No
Yes
"**", "M"
No
Yes
"H"
Yes
Yes
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeHg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
M4-809-SWF Surface Water
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
uses the same ID as th
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
e Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
InHg Lab Area
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
X
X
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Applied Qualifiers^
Data Qualifiers/Footnotes:
I!**!! IIA/TII
M"
I!**!! IIA/TII
, "M"
"H"
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-872-SWF
Surface Water
Laboratory Records
Data Report (Attached)
Total P
Total N
TOC
Total Hg
MeHg
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
5-8-99/No Time
5-26-99/1130
08/06/99
X
FW=SW
5-8-99/No Time
5-26-99/1030,Date Not Noted
8-4-99/1507
X
FW=SW
5-8-99/No Time
No Digestion
06/13/99
X
FW=SW
5-8-99/No Time
05/20/99
05/21/99
X
FW=SW
5-8-99/No Time
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.012
ppm
EPA 365.1
Raw Data Initialed
O.OOOSppm (O.Olmnol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
1.387
ppm
Antek
Raw Data Initialed
0.03 ppm
NA
4ml
sample aliquot
1
22.56
ppm
EPA415.1
Raw Data Initialed
0.12 ppm
1000ml
1000ml
sample aliquot
1
1.55
ppt
EPA 1631
JL
0.3 ppt
Battelle Lab
is Main Lab
ppt
EPA 1630
JL
0.02 ppt
No
X
Yes
No
X
Past Holding Time Goal
No
X
Past HT
Yes (FLD)
X
Yes
Yes
28 days
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By Run Date/ID
**
RecalibrationBlks Good
Sample Dups-Good
Reported 74%
CCV %R Good
0.0006-0.2 ppm
0.9958
By Run Date/ID
lof3>MDL
NR
-3. 68 RPD
62.7, 72.7% R
88.9% - 106.6%R
0.03 and>
NA
By Run Date/ID
No Digestion
Good After Correction
-0.634,-0.9RPD
77% R
96-102%R
0.12 ppm and>
0.999
File ID
X
.128ppt
0.9988
File ID
No
Yes
"**", "M"
No
Yes
"**", "M"
No
Yes
"H"
Yes
Yes
Notes
For TOC analysis, only 2 of 5 duplicate samples run were recorded, due to inability to read the instrument printout.
For Total Nitrogen Analysis, 1 of 3 instrument blanks were above the 3 times MDL limit.
Total Nitrogen analysis: Reported RPD data and Matrix Spike Recoveries could not be reviewed (NR).
SESD Laboratory was switched to be the main laboratory for MeHg. FIU is responsible for 10% of the MeHg.
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
-------
Station ID M4-872-SWF
Surface Water
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
Not Noted
Date/No Time
In Hg lab Area
None
X
X
Not Noted
Date/No Time
In Hg Lab Area
I!**!! IIA/TII
M"
I!**!! IIA/TII
M"
"H"
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
" ** " The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
NA
X
X
With Raw Printout
X
X
X
X
Notes on Printouts
X
Notes on Printouts
X
X
uM
X
X
uM
X
X
ppm
SFW=SWF
X
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) | Fall 98 (68.2%R) Fail | Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
-------
Water - Battelle
-------
10 % Recalculated Results for Methylmercury in Surface Water
Analyzed by Battelle Marine Sciences Laboratory for the May 1999 Dry Season (M4)
Entered by mwb 01/07/00, njs 01/10/00
Sampling Station
ID
M4-500-SWB
M4-538-SWB
Method Blank
Instrument Blank
M4-506-SWB (QA)
M4-506-SWB (QA-DUP)
M4-508-SWB (QA)
M4-508-SWB(QAMS)
Stdl34 (QACCV)
M4-556-SWB
Method Blank
Instrument Blank
M4-553-SWB (QA)
M4-553-SWB (QA-DUP)
M4-555-SWB (QA)
M4-555-SWB (QA-MS)
Std 134 (QA-CCV)
M4-566-SWB
M4-576-SWB
Method Blank
Instrument Blank
M4-569-SWB (QA)
M4-569-SWB (QA-DUP)
M4-566-SWB (QA)
M4-566-SWB (QA-MS)
Std 135 (QA-CCV)
M4-809-SWB
Method Blank
Instrument Blank
M4-577-SWB (QA)
M4-577-SWB (QA-DUP)
M4-559-SWB (QA)
M4-559-SWB (QA-MS)
Std 135 (QA-CCV)
M4-901-SWB
Method Blank
Instrument Blank
M4-870-SWB (QA)
M4-870-SWB (QA-DUP)
M4-877-SWB (QA)
M4-877-SWB (QA-MS)
Std 135 (QA-CCV)
Battelle
MSL Code
1329-90
1329-100
BLK05 18991
1329-93
1329-93
1329-94
1329-94MS
13290519
1329-110
BLK05 18991
1329-107
1329-107
1329-109
1329-109MS
13290520
1329-120
1329-130
BLK052499
1329-123
1329-123
1329-120
1329-120MS
1329-140
BLK060499
1329-131
1329-131
1329-113
1329-1 13MS
1329-149
BLK052699
1329-145
1329-145
1329-147
1329-147MS
Data Qualifier
Note
NR
NR
NR
NR
NR
QC
Batch
13290519
11
11
"
11
"
11
"
11
13290520
11
"
11
"
11
"
11
13290525
"
"
11
"
11
"
11
"
13290604
"
11
"
11
"
11
"
13290527
"
11
"
11
"
11
"
Instrument
Peak
Height
12812
2455
221
1042
1117
1081
8490
1960
0
1085
1103
856
9617
381
1026
410
247
1174
1189
1026
9186
4475
336
2006
1881
7458
19818
3691
123
359
361
1103
8483
Distilled
Sample
Vomme(ml)
49.727
50.463
51.378
50.982
51.932
49.494
49.419
50.948
50.503
50.056
50.228
50.670
50.277
50.407
50.089
50.134
50.181
50.254
50.407
50.325
49.133
49.951
50.855
50.646
48.831
49.294
50.225
50.761
50.344
50.589
50.596
50.016
Volume
Analyzed
(ml)
49.727
50.463
51.378
50.982
51.932
49.294
49.419
50.948
50.503
50.056
50.228
50.670
50.277
50.407
50.089
50.134
50.181
50.254
50.407
50.325
49.133
49.951
50.855
50.646
48.831
49.294
50.225
50.761
50.344
50.589
50.596
50.016
Distillation
Correction
Factor
0.857
0.857
0.857
0.857
0.857
0.857
0.857
0.946
0.946
0.946
0.946
0.946
0.946
0.904
0.904
0.904
0.904
0.904
0.904
0.904
0.936
0.936
0.936
0.936
0.936
0.936
1
1
1
1
1
1
Y intercept
187
187
187
187
187
187
187
93
93
93
93
93
93
98
98
98
98
98
98
98
339
339
339
339
339
339
104
104
104
104
104
104
Slope
(factor)
54.3
54.3
54.3
54.3
54.3
54.3
54.3
56.1
56.1
56.1
56.1
56.1
56.1
52.4
52.4
52.4
52.4
52.4
52.4
52.4
83.4
83.4
83.4
83.4
83.4
83.4
46.2
46.2
46.2
46.2
46.2
46.2
Blank
Correction
Factor
0
0
0
0
0
0
0
0
0
0
0
0
0
0.0626
0.0626
0.0626
0.0626
0.0626
0.0626
0.0626
0
0
0
0
0
0
0
0
0
0
0
0
Hg
Concentration
PPt
5.46
0.966
0.0142
0.360
0.385
0.390
3.610
0.690
-0.035
0.373
0.379
0.284
3.569
0.326
0.069
0.000
0.390
0.396
0.326
3.750
1.078
-0.001
0.420
0.390
1.868
5.062
1.55
0.008
0.11
0.11
0.43
3.63
DETECTION
LIMIT
PPt
0.0233
0.0229
0.0225
0.0227
0.0223
0.0235
0.0234
0.0206
0.0208
0.0209
0.0209
0.0207
0.0209
0.0218
0.0219
0.0219
0.0219
0.0218
0.0218
0.0218
0.0216
0.0212
0.0208
0.0209
0.0197
0.0195
0.0198
0.0195
0.0197
0.0196
0.0196
0.0198
ICV/CCV
CONC
38.40
40.37
167
70.9
83.1
TRUE
CONC
38.95
38.95
161
81
82.7
%R
98.6
103.6
103.7
87.5
100.5
Amount
Spiked
(ppm)
3.35
3.29
3.29
3.35
3.31
Amount
Recovered
(ppm)
3.221
3.286
3.424
3.195
3.199
%R
96
100
104
95
97
Relative
Percent
Difference
6.56
1.46
1.44
7.38
0.296
"NR" Not Reviewed
-------
May 1999 Samples for Critical Parameters Analyzed by Battelle
With the 10% Full QA/QC Review
Total Methylmercury in Surface Water
Sampling Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
M4-500-SWB
M4-538-SWB
M4-556-SWB
M4-566-SWB
1329-90
M4-500-SWB
surface water = SW
05/1 1/99
05/18/99
05/19/99
13290519
49.727
49.727
aliquot
1
5.46
ng/L (ppt)
1631/1630
Deuth
0.0233
1329-100
M4-538-SWB
surface water = SW
05/10/99
05/18/99
05/19/99
13290519
50.463
50.463
aliquot
1
0.966
ng/L (ppt)
1631/1630
Deuth
0.0229
1329-110
M4-556-SWB
surface water = SW
05/08/99
05/19/99
05/20/99
13290520
50.948
50.948
aliquot
1
0.690
ng/L (ppt)
1631/1630
Deuth
0.0206
1329-120
M4-566-SWB
surface water = SW
05/07/99
05/24/99
05/25/99
13290525
50.407
50.407
aliquot
1
0.326
ng/L (ppt)
1631/1630
Deuth
0.0218
NR
LIMS
Yes (28 days HT)
NR
LIMS
Yes (28 days HT)
NR
LIMS
Yes (28 days HT)
NR
LIMS
Yes (28 days HT)
1329-90
13290519
0.0142
NR
6.56
96
98.6
0.0233 and >
0.99964
1329-100
13290519
0.0142
NR
6.56
96
98.6
0.0229 and >
0.99964
1329-110
13290520
-0.035
NR
1.46
100
104
0.0206 and >
0.99958
1329-120
13290525
0.0626 *
NR
1.44
104
104
0. 02 18 and >
0.99953
NR
LIMS
Yes
NR
LIMS
Yes
NR
LIMS
Yes
NR
LIMS
Yes
"*" Method blank is above the true MDL, but less than 3 times the MDL.
-------
Sampling Station ID
M4-500-SWB
M4-538-SWB
M4-556-SWB
M4-566-SWB
Narrative Description (Attached)
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
76/Waters
X
X
X
X
X
X
X
X
76/Waters
X
X
X
X
X
X
X
X
76/Waters
X
X
X
X
X
X
X
X
76/Waters
X
X
X
X
X
X
X
X
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
X
NA
X
X
X
X
NA
X
X
X
X
NA
X
X
X
X
NA
X
X
X
ng/L
X
X
ng/L
X
X
ng/L
X
X
ng/L
NR
NR
NR
NR
NR
NR
NR
NR
X= Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by Battelle
With the 10% Full QA/QC Review
Total Methylmercury in Surface Water
Sampling Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
M4-576-SWB
M4-809-SWB
M4-901-SWB
1329-130
M4-576-SWB
surface water = SW
05/04/99
05/24/99
05/25/99
13290525
50.089
50.089
aliquot
1
0.0688
ng/L (ppt)
1631/1630
Deuth
0.0219
1329-140
M4-809-SWB
surface water = SW
05/11/99
06/03/99
06/04/99
13290604
49.133
49.133
aliquot
1
1.08
ng/L (ppt)
1631/1630
Deuth
0.0216
1329-149
M4-901-SWB
surface water = SW
05/06/99
05/26/99
05/27/99
13290527
50.225
50.225
aliquot
1
1.55
ng/L (ppt)
1631/1630
Deuth
0.0198
NR
LIMS
Yes (28 days HT)
NR
LIMS
Yes (28 days HT)
NR
LIMS
Yes (28 days HT)
1329-130
13290525
0.0626 *
NR
1.44
104
104
0.0219 and >
0.99953
1329-140
13290604
-0.0008
NR
7.38
95
87.5
0.0216 and >
0.9993
1329-149
13290527
0.00799
NR
0.296
97
100.5
0.0198 and >
0.9991
NR
LIMS
Yes
NR
LIMS
Yes
NR
LIMS
Yes
"*" Method blank is above the true MDL, but less than 3 times the MDL.
-------
Sampling Station ID
M4-576-SWB
M4-809-SWB
M4-901-SWB
Narrative Description (Attached)
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
76/Waters
X
X
X
X
X
X
X
X
76/Waters
X
X
X
X
X
X
X
X
76/Waters
X
X
X
X
X
X
X
X
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
X
NA
X
X
X
X
NA
X
X
X
X
NA
X
X
X
ng/L
X
X
ng/L
X
X
ng/L
NR
NR
NR
NR
NR
NR
X = Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
Soil - SERC
-------
10 % Recalculated Results for Total Phosphorus in Soil/Sediment
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by njs 12/13/99
Checked by jtm 1/6/00
Sample
M4-548-SFF
M4-556-SFF
M4-566-SFF
M4-568-SFF
M4-576-SFF
M4-586-SFF
Sample
Citrus Leaves
Citrus Leaves
CCV
CCV
CCV
CCV
CCV
CCV
M4-551-SFF
M4-551-SFF-D
M4-560-SFF
M4-560-SFF-D
M4-570-SFF
M4-570-SFF-D
M4-581-SFF
M4-581-SFF-D
Blanks
Blanks
QA/QC
Batch
09-09-99 C-2
II
II
II
II
II
QA/QC
Batch
09-09-99 C-2
it
ii
ii
ii
ii
ii
ii
ii
ii
ii
ii
ii
ii
ii
ii
ii
ii
Qualifier
Note
Qualifier
Note
Dilution
Factor
Dilution
Factor
Weight
grams
0.0252
0.0245
0.0249
0.0254
0.0250
0.0255
Weight
grams
0.0254
0.0253
0.0251
0.0250
0.0254
0.0250
0.0250
0.0252
0.0250
0.0253
Peak Height
um
26247
6488
16474
12716
19354
4965
Peak Height
um
94650
90102
64169
67661
69660
69487
69191
69102
21188
20312
12005
10963
19409
19955
21100
18511
-681
-417
Slope
um
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
Slope
um
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
3089.1016
Sample
Results
ug/g (ppm)
337.2
85.7
214.2
162.1
250.6
63.0
Sample
Results
ug/g (ppm)
1206.3
1152.9
20.8
21.9
22.6
22.5
22.4
22.4
273.3
263.0
153.0
142.0
251.3
256.3
273.2
236.9
-0.2
-0.1
Detection
Limit
ug/g (ppm)
0.06
0.06
0.06
0.06
0.06
0.06
Detection
Limit*3
ug/g (ppm)
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
SPK
CONC
ug/g (ppm)
1300
1300
23.23
23.23
23.23
23.23
23.23
23.23
R%
92.79
88.68
89.42
94.29
97.07
96.83
96.42
96.30
RPD
4.529
3.823
7.489
-1.977
14.259
-------
10 % Recalculated Results for Total Phosphorus in Soil/Sediment
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by njs 12/13/99
Checked by jtm 1/6/00
Sample
M4-501-SFF
Sample
Citrus Leaves
Citrus Leaves
CCV
CCV
M4-507-SFF
M4-507-SFF-D
Blanks
Blanks
QA/QC
Batch
09-09-99 C-l
QA/QC
Batch
09-09-99 C-l
it
ii
ii
ii
ii
ii
ii
Qualifier
Note
Qualifier
Note
Dilution
Factor
1
Dilution
Factor
Weight
grams
0.0252
Weight
grams
0.0254
0.0253
0.0249
0.0250
Peak Height
um
11374
Peak Height
um
93700
93689
60533
62707
55239
54625
-787
-503
Slope
um
2945.1703
Slope
um
2945.1703
2945.1703
2945.1703
2945.1703
2945.1703
2945.1703
2945.1703
2945.1703
Sample
Results
ug/g (ppm)
153.3
Sample
Results
ug/g (ppm)
1252.6
1257.4
20.6
21.3
753.2
741.9
-0.3
-0.2
Detection
Limit
ug/g (ppm)
0.06
Detection
Limit*3
ug/g (Ppm)
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
SPK
CONC
ug/g (Ppm)
1300
1300
23.23
23.23
R%
96.35
96.72
88.48
91.66
RPD
-0.383
-3.528
1.519
-------
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-------
10 % Recalculated Results for Total Phosphorus in Soil/Sediment
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by njs 12/13/99
Checked by jtm 1/6/00
Sample
M4-599-SFF
M4-809-SFF
M4-872-SFF
Sample
Citrus Leaves
Citrus Leaves
CCV
CCV
CCV
CCV
CCV
CCV
M4-607-SFF
M4-607-SFF-D
M4-619-SFF
M4-619-SFF-D
M4-868-SFF
M4-868-SFF-D
Blanks
Blanks
QA/QC
Batch
10-29-99 Cl
II
II
QA/QC
Batch
10-29-99 Cl
II
II
II
II
II
II
II
II
II
II
II
II
II
II
II
Qualifier
Note
Qualifier
Note
Dilution
Factor
1
1
1
Dilution
Factor
Weight
grams
0.0256
0.0249
0.0245
Weight
grams
0.0252
0.0254
0.0254
0.0253
0.0251
0.0251
0.0248
0.0250
Peak Height
um
12575
12430
10557
Peak Height
um
78667
83527
60224
64529
63127
64203
65533
64460
4084
3798
7527
8136
27687
27915
3
-268
Slope
um
2781.3245
2781.3245
2781.3245
Slope
um
2781.3245
2781.3245
2781.3245
2781.3245
2781.3245
2781.3245
2781.3245
2781.3245
2781.3245
2781.3245
2781.3245
2781.3245
2781.3245
2781.3245
2781.3245
2781.3245
Sample
Results
ug/g (ppm)
176.6
179.5
154.9
Sample
Results
ug/g (ppm)
1122.4
1182.3
21.7
23.2
22.7
23.1
23.6
23.2
57.8
54.0
107.8
116.5
401.4
401.5
0.0
-0.1
Detection
Limit
ug/g (ppm)
0.06
0.06
0.06
Detection
Limit*3
ug/g (ppm)
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
SPK
CONC
ug/g (ppm)
1300
1300
23.23
23.23
23.23
23.23
23.23
23.23
R%
86.34
90.95
93.21
99.87
97.70
99.37
101.43
99.77
RPD
-5.203
6.863
-7.776
-0.017
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
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0
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0
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M4-576-SFF
8
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(N
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b
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0
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m
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GO
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OO
^sO
0
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t^
m
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m
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t^
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PH
PH
GO
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0
t^
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0
o
o
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0
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0
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m
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0
0
(N
O
t>
| M4-809-SFF
5
^t
c\
a\
0
NO
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^D
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O
O
^t
o
o
0
o
oo
s
(N
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0
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GO
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rn
(N
m
o
o
oo
o
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t^
m
m
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(N
0
0
fs
00
s
fe
fe
C/3
i
4
S;
<:
a
o
rn
0
-------
10 % Recalculated Results for Bulk Density in Soil/Sediment
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by njs 12/16/99
Checked by jtm 01/06/00
Sample
M4-501-SFF
M4-508-SFF
M4-533-SFF
M4-538-SFF
M4-548-SFF
M4-556-SFF
M4-566-SFF
M4-568-SFF
M4-576-SFF
M4-586-SFF
M4-594-SFF
M4-599-SFF
M4-809-SFF
M4-872-SFF
QA/QC
Batch
09-09-99 C-2
11
11
11
11
11
11
11
11
11
11
11
11
"
Qualifier
Note
*
*
*
*
*
*
*
*
*
*
*
*
*
*
CupWt
(g)
10.52172
10.52172
10.52172
10.52172
10.52172
10.52172
10.52172
10.52172
10.52172
10.52172
10.52172
10.52172
10.52172
10.52172
Sample Volume
(mL)
80
60
80
80
70
70
60
60
90
80
60
40
60
70
Cup +
Wet Sediment (g)
90.6780
85.1097
92.6565
93.0177
77.1153
91.0047
81.8973
77.0048
110.6919
100.647
98.4345
88.1801
78.9859
92.1029
Sample Wet
Weight (g)
80.1563
74.5880
82.1348
82.4960
66.5936
80.4830
71.3756
66.4831
100.1702
90.1253
87.9128
77.6584
68.4642
81.5812
Vol/Weight
Ratio
0.9981
0.8044
0.9740
0.9697
1.0512
0.8697
0.8406
0.9025
0.8985
0.8877
0.6825
0.5151
0.8764
0.8580
Dried Cup +
Dried Sed (g)
14.8775
14.2825
18.6297
26.2454
15.4151
24.4034
19.7691
16.7999
22.6543
47.0813
22.1843
17.9186
14.7799
21.6815
Bulk Density
g/mL
0.0544
0.0627
0.1013
0.1965
0.0699
0.1983
0.1541
0.1046
0.1348
0.4570
0.1944
0.1849
0.0710
0.1594
EPA Prep
Dilution
0.40
0.25
0.50
0.40
0.67
1.00
0.50
0.33
1.00
1.00
0.67
0.40
0.33
1.00
Corrected Bulk
Density g/mL
0.14
0.25
0.20
0.49
0.10
0.20
0.31
0.32
0.13
0.46
0.29
0.46
0.22
0.16
There are no duplicates/replicates reported with this parameter set.
-------
10 % Recalculated Results for Methylmercury in Soil Samples Analyzed by
Florida International University Laboratory for the May 1999 Dry Season (M4)
Entered by mwb 02/02/00 Checked By: njs 04-12-00
Sampling Station
ID
M4-501-SDF-A
M4-501-SDF-B
M4-501-SDF-C
M4-501-SDF-D
Correlation Coefficient
Blank- 1
Blank-2
ccv
M4-533-SDF-A
M4-533-SDF-B
M4-533-SDF-C
M4-533-SDF-D
Correlation Coefficient
Blank- 1
Blank-2
ccv
ccv
M4-548-SDF-A
M4-548-SDF-B
M4-548-SDF-C
M4-548-SDF-D
M4-556-SDF-A
M4-556-SDF-B
M4-556-SDF-C
M4-556-SDF-D
Correlation Coefficient
Blank- 1
Blank-2
ccv
ccv
ccv
Data Qualifier
Note
"H"
"H"
"H"
"H"
"NR"
"H"
"H"
"H"
"H", "M"
"NR"
"H"
"H"
"H"
"H"
"H"
"H"
"H"
"H", "M"
"NR"
QC
Batch
32000a
32000a
32000a
32000a
32000a
32000a
32000a
32000a
032400b
032400b
032400b
032400b
032400b
032400b
032400b
32000a
32000a
80699
80699
80699
80699
80699
80699
80699
80699
80699
80699
80699
80699
80699
80699
Wet
Sample
Weight (g)
4.650
4.046
5.910
6.463
4.602
4.753
4.697
4.246
4.475
4.095
4.073
4.088
4.190
4.153
4.467
4.718
Dry/Wet
Weight
Ratio
0.028
0.028
0.028
0.028
0.129
0.129
0.129
0.129
0.0745
0.0745
0.0745
0.0745
0.171
0.171
0.171
0.171
First
Extraction
Volume(ml)
4
4
3.8
4
4.8
3.2
4
4
3.8
4
4
4
3.6
3.6
2.2
3.0
3.4
3.0
2.9
5.0
5.0
3.3
Back
Extraction
Volume(ml)
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.8
0.8
0.8
0.8
0.8
0.8
0.8
0.8
0.8
0.8
Final
Extraction
Volume(ul)
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
Spiked
Concentration
(ng/g)
4.530
4.140
3.75
1.800
1.990
2.5
2.5
3.30
3.28
1.31
1.24
3.75
3.75
3.75
MeHg
Peak
Area
4.63
1.54
6.99
8.76
0.00
0.00
4.670
0.00
0.00
2.86
2.86
0.00
0.00
5.270
4.960
1.52
0.86
4.65
4.56
1.27
0.60
3.06
4.23
0.00
0.00
7.10
2 42
9.65
Y intercept
0.12
0.12
0.12
0.12
0.228
-0.049
-0.049
-0.049
-0.049
-0.049
-0.049
-0.072
-0.072
-0.072
-0.072
-0.072
-0.072
-0.072
-0.072
-0.072
-0.072
-0.072
-0.072
-0.072
Slope
1.730
1.730
1.730
1.730
1.296
2.360
2.360
2.360
2.360
2.360
2.360
1.821
1.821
1.821
1.821
1.821
1.821
1.821
1.821
1.821
1.821
1.821
1.821
1.821
MeHg
Concentration
(ng/g)
8.56
3.27
10.71
11.66
3.60
0.00
0.00
0.88
0.92
2.23
2.10
0.87
0.54
4.78
3.43
0.36
0.19
0.95
0.72
3.90
1.33
5.30
RPD
89.38
-8.49
0.00
-4.96
47.17
33.03
59.71
27.39
Average
MeHg Cone.
(ng/g)
5.92
11.18
0.00
0.90
0.70
4.10
0.28
0.83
Standard
Deviation
%R
121.44
96.09
47.47
89.32
84.07
103.35
43.80
103.97
35.44
141.31
Final
Result
ng/g
4.87
0
0
0.00
0
0
0.68
0.63
Data Qualifiers
"H" Analysis digestion performed after holding times have expired.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 70 to 130% range.
"NR" Not Reviewed.
-------
10 % Recalculated Results for Methylmercury in Soil Samples Analyzed by
Florida International University Laboratory for the May 1999 Dry Season (M4)
Entered by mwb 02/02/00
Sampling Station
ID
M4-566-SDF-A
M4-566-SDF-B
M4-566-SDF-C
M4-566-SDF-D
Correlation Coefficient
Blank- 1
Blank-2
ccv
ccv
M4-568-SDF-A
M4-568-SDF-B
M4-568-SDF-C
M4-568-SDF-D
Correlation Coefficient
Blank- 1
Blank-2
ccv
M4-576-SDF-A
M4-576-SDF-B
M4-576-SDF-C
M4-576-SDF-D
Correlation Coefficient
Blank- 1
Blank-2
ccv
ccv
M4-586-SFF-A
M4-586-SFF-B
M4-586-SFF-C
M4-586-SFF-D
Correlation Coefficient
Blank- 1
Blank-2
ccv
Data Qualifier
Note
"H"
"H"
"H"
"H"
"NR"
"DQO"
"DQO"
"H"
"H"
"H"
"H"
"NR"
"NR"
"H"
"H"
"H"
"H"
"NR"
"H"
"H"
"H"
"H", "M"
"NR"
QC
Batch
81299
81299
81299
81299
81299
81299
81299
81299
81299
121499
121499
121499
121499
121499
121499
121499
121499
32600
32600
32600
32600
32600
32600
32600
32600
32600
82099
82099
82099
82099
82099
82099
82099
82099
Wet
Sample
Weight (g)
5.557
5.435
5.400
5.156
4.181
3.423
5.350
4.482
4.624
4.560
4.240
6.438
4.302
4.217
4.263
5.321
Dry/Wet
Weight
Ratio
0.13
0.13
0.13
0.13
0.0727
0.0727
0.0727
0.0727
0.111
0.111
0.111
0.111
0.327
0.327
0.327
0.327
First
Extraction
Volume(ml)
3.2
3.4
3.2
3.2
4
3.8
3.6
3.0
3.0
3.0
4.0
4.0
4.0
3.6
4.0
3.2
4.0
4.0
1.6
2.4
2 2
2.0
4.0
4.0
Back
Extraction
Volume(ml)
0.8
0.8
0.8
0.8
0.8
0.8
0.8
0.8
0.8
0.8
0.8
0.8
0.6
0.6
0.6
0.6
0.6
0.6
0.8
0.8
0.8
0.8
0.8
0.8
Final
Extraction
Volume(ul)
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
Spiked
Concentration
(ng/g)
1.07
1.12
2.5
2.5
1.93
2.30
1.59
1.05
2.5
2.5
0.54
0.43
2.5
MeHg
Peak
Area
4.58
2.00
7.74
6.53
0.00
0.00
7.750
7.640
0.00
0.00
5.11
4.48
0.00
0.00
4.92
3.91
8.30
7.71
0.00
0.00
4.95
4.03
0.00
0.00
0.50
0.52
0
0
2.91
Y intercept
1.011
1.011
1.011
1.011
1.011
1.011
0.42
0.42
0.42
0.42
0.42
0.42
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
-0.436
-0.436
-0.436
-0.436
-0.436
-0.436
-0.436
Slope
1.94
1.94
1.94
1.94
1.94
1.94
2.13
2.13
2.13
2.13
2.13
2.13
1.85
1.85
1.85
1.85
1.85
1.85
1.85
1.85
1.430
1.430
1.430
1.430
1.430
1.430
1.430
MeHg
Concentration
(ng/g)
1.28
0.54
2 22
1.96
3.99
3.94
0.00
0.00
2.57
2.69
2.16
1.93
3.97
3.04
2.68
2.18
0.00
0.00
0.14
0.13
2.03
RPD
81.65
12.36
0.00
-4.54
11.04
26.67
0.00
8.71
Average
MeHg Cone.
(ng/g)
0.91
2.09
0.00
2.63
2.05
3.50
0.00
0.14
Standard
Deviation
%R
108.16
159.79
157.53
124.34
110.50
107.03
87.14
28.16
81.40
Final
Result
ng/g
0.84
0
0
0.00
0
0
1.85
0
0
0.00
0
0
Data Qualifiers
"H" Analysis digestion performed after holding times have expired.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 70 to 130% range.
"NR" Not Reviewed.
-------
10 % Recalculated Results for Methylmercury in Soil Samples Analyzed by
Florida International University Laboratory for the May 1999 Dry Season (M4)
Entered by mwb 02/02/00
Sampling Station
ID
M4-594-SFF-A
M4-594-SFF-B
M4-594-SFF-C
M4-594-SFF-D
Correlation Coefficient
Blank- 1
Blank-2
ccv
M4-599-SFF-A
M4-599-SFF-B
M4-599-SFF-C
M4-599-SFF-D
Correlation Coefficient
Blank- 1
Blank-2
ccv
ccv
M4-809-SFF-A
M4-809-SFF-B
M4-809-SFF-C
M4-809-SFF-D
Correlation Coefficient
Blank- 1
Blank-2
ccv
ccv
ccv
ccv
M4-872-SDF-A
M4-872-SDF-B
M4-872-SDF-C
M4-872-SDF-D
Correlation Coefficient
Blank- 1
Blank-2
ccv
Data Qualifier
Note
"H"
"H"
"H"
"H"
"NR"
"H"
"H"
"H"
"H"
"NR"
"H"
"H"
"H"
"H", "M"
"NR"
"H"
"H"
"H"
"H"
"NR"
"NR"
QC
Batch
121599
121599
121599
121599
121599
121599
121599
121599
32500
32500
32500
32500
32500
32500
32500
32500
32500
91099
91099
91099
91099
91099
91099
91099
91099
91099
91099
91099
032800b
032800b
032800b
032800b
032800b
032800b
032800b
032800b
Wet
Sample
Weight (g)
4.296
4.078
4.985
4.492
4.440
5.363
6.011
5.235
5.473
5.544
5.194
5.326
4.517
4.562
4.351
4.722
Dry/Wet
Weight
Ratio
0.105
0.105
0.105
0.105
0.102
0.102
0.102
0.102
0.0416
0.0416
0.0416
0.0416
0.119
0.119
0.119
0.119
First
Extraction
Volume(ml)
3.2
3.6
3.4
3.2
4.0
4.0
3.8
4
4
4
4.0
4.0
3.8
3.6
3.8
3.6
4.0
4.0
4.0
4.0
4.0
4.0
4.0
4.0
Back
Extraction
Volume(ml)
0.8
0.8
0.8
0.6
0.8
0.8
0.6
0.6
0.6
0.6
0.6
0.6
0.8
0.8
0.8
0.8
0.8
0.8
0.6
0.6
0.6
0.6
0.8
0.8
Final
Extraction
Volume(ul)
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
Spiked
Concentration
(ng/g)
1.430
1.590
3.75
1.220
1.400
2.5
2.5
3.47
3.39
3.75
3.75
3.75
3.75
1.45
1.33
MeHg
Peak
Area
2.49
3.94
7.09
4.96
0.00
0.00
5.940
2.57
7.68
9.09
0.00
0.00
5.270
7.660
0.00
0.00
1.77
1.75
6.80
6.22
7.35
5.71
0.83
1.39
7.44
7.97
0.00
0.00
Y intercept
0.39
0.39
0.39
0.39
0.39
0.39
0.39
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
-0.09
0.289
0.289
0.289
0.289
0.289
0.289
0.289
0.289
0.289
0.289
0.08
0.08
0.08
0.08
0.42
0.42
Slope
2.09
2.09
2.09
2.09
2.09
2.09
2.09
2.47
2.47
2.47
2.47
2.47
2.47
2.47
2.47
2.168
2.168
2.168
2.168
2.168
2.168
2.168
2.168
2.168
2.168
3.82
3.82
3.82
3.82
2.13
2.13
MeHg
Concentration
(ng/g)
1.03
1.53
2.38
2.62
2.84
0.79
2.11
2.87
2.13
3.10
0.00
0.00
1.24
1.27
3.14
2.87
3.39
2.63
0.17
0.28
1.57
1.55
RPD
-38.82
-9.51
-30.44
0.00
-1.76
-49.52
1.30
Average
MeHg Cone.
(ng/g)
1.28
2.50
0.79
2.49
0.00
1.25
0.22
1.56
Standard
Deviation
%R
80.89
75.79
129.76
85.34
124.05
36.56
83.64
76.51
90.41
70.23
95.92
Final
Result
ng/g
1.58
0
0
0.61
0
0
0.00
0
0
0.23
0
0
Data Qualifiers
"H" Analysis digestion performed after holding times have expired.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 70 to 130% range.
"NR" Not Reviewed.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-501-SFF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
QC Limits Met
Notes
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-1 1-99/No Time
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-11-99/NoTime
03/20/00
03/20/00
X
SD = SF = S = Soil
5-1 1-99/No Time
09/03/99
09/09/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
4.65, 4.046 g
200ul
aliquot
See Worksheets
4.87
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
153.3
ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-1 1-99/No Time
06/25/99
06/25/99
lecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.9608
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-1 1-99/No Time
NA
Not Provided
80
80
80
NA
0.0544
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes
No (Goal Only)
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
32000a
NA
yes
89.38
121.44
96.09
0.2 ng/g and>
NR
9-9-99 C-l
NA in Soils
-0.3, -0.2
<20 RPD
96%R
88 - 92%R
60 ppm and >
0.996
06/25/99
NA
NA
None Reported
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"DQO"
Yes Y
X ]
"DQO
es Yes
< X
(NR)11 "DQO (NR)"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
-------
Station ID M4-501-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
Yes
Yes
Yes
Yes
Yes
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
Yes
Yes
ng/g
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers |_
"DQO"
"DQO (NR)11
"DQO (NR)11
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
11 R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
QC Limits Met
Notes
M4-508-SFF Soil/Sediment
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-11-99/NoTime
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-1 1-99/No Time
No Analysis Performed
X
SD = SF = S = Soil
5-11-99/NoTime
09/03/99
10/01/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
No Analysis Performed
0.025 g
0.025 g
Aliquot
1
291.7
ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-1 1-99/No Time
06/25/99
06/25/99
lecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.9713
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-1 1-99/No Time
NA
Not Provided
80
80
80
NA
0.0627
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
10-1-99C-1
NA in Soils
None Reported
<20RPD
98 - 102%R
96-102 %R
60 ppm and >
0.998
06/25/99
NA
NA
None Reported
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
Yes Y
X ]
"B (NR)" "DQO
es Yes
< X
(NR)" "DQO (NR)"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
There is no analysis for MeHg.
-------
Station ID M4-508-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers I
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
"B (NR)"
"DQO (MR)"
"DQO (NR)"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-533-SFF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
QC Limits Met
Notes
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-10-99/NoTime
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-10-99/NoTime
03/24/00
03/24/00
X
SD = SF = S = Soil
5-10-99/NoTime
09/03/99
10/01/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
4.602, 4.753
200ul
aliquot
See Worksheets
0
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
231.2
Ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-10-99/NoTime
06/25/99
06/25/99
lecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.9261
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-10-99/NoTime
NA
Not Provided
80
80
80
NA
0.1013
g/mL
ASTM D453 1-86
SG/JL
0.001 g/cc
28 days
SOP
Yes
No (Goal Only)
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
032400b
NA
yes
0
47.47
89.32, 84.07
0.2 ng/g and>
0.9913
10-1-99C-1
NA in Soils
None Reported
<20 RPD
98 - 102%R
96-102 %R
60 ppm and >
0.998
06/25/99
NA
NA
<20RPD
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"M"
Yes Y
X ]
"B (NR)"
es Yes
< X
"DQO (NR)11
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
-------
Station ID M4-533-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
Yes
Yes
Yes
Yes
Yes
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
Yes
Yes
ng/g
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers |_
"B (NR)"
"DQO (MR)"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-538-SFF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analysl
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analysl
All Calculation Checked
QC Limits Met
Notes
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-10-99/NoTime
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-10-99/NoTime
No Analysis Performed
X
SD = SF = S = Soil
5-10-99/NoTime
09/03/99
10/01/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
No Analysis Performec
0.025 g
0.025 g
Aliquot
1
105.6
ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-10-99/NoTime
06/25/99
06/25/99
>ecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.48
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-10-99/NoTime
NA
Not Provided
80
80
80
NA
0.1965
g/mL
ASTM D453 1-86
SG/JL
0.001 g/cc
28 days
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
10-1-99C-1
NA in Soils
None Reported
<20 RPD
98 - 102%R
96-102 %R
60 ppm and >
0.998
06/25/99
NA
NA
<20RPD
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
Yes Y
X 3
"B (NR)"
es Yes
< X
"DQO (NR)"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
-------
Station ID M4-538-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
X
X
ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers |_
"B (NR)"
"DQO (NR)"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-548-SFF
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analysl
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analysl
All Calculation Checked
QC Limits Met
Notes
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-9-99/No Time
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-9-99/No Time
08/06/99
08/06/99
X
SD = SF = S = Soil
5-9-99/No Time
09/03/99
09/09/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
4.475g,4.095g
200ul
aliquot
See Worksheet
0.68
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
337.2
Ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-9-99/No Time
06/25/99
06/25/99
>ecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.91
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-9-99/No Time
NA
Not Provided
80
80
80
NA
0.0699
g/mL
ASTM D453 1-86
SG/JL
0.001 g/cc
28 days
SOP
Yes
No (Goal Only)
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
80699
NA
yes
47.17
103.35
103.97,35.44, 141.31
0.2 ng/g and>
0.9963
9-9-99 C-2
NA in Soils
-0.1, -0.2
<20 RPD
89 - 93%R
89 - 97%R
60 ppm and >
0.9969
06/25/99
NA
NA
<20RPD
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
11 DQO "
Yes Y
X 3
es Yes
< X
"DQO (NR)"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
-------
Station ID M4-548-SFF
M4-548-SDF
Soil/Sediment
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
Yes
Yes
Yes
Yes
Yes
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
Yes
Yes
ng/g
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers |_
"DQO"
"DQO (NR)"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-556-SFF
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
QC Limits Met
Notes
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-1 1-99/No Time
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
08/06/99
08/06/99
X
SD = SF = S = Soil
5-8-99/No Time
09/03/99
09/09/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
4.190g,4.153g
200ul
aliquot
Blending Dilution
0.63
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
85.7
ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-11-99/NoTime
06/25/99
06/25/99
lecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.4567
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-1 1-99/No Time
NA
Not Provided
80
80
80
NA
0.1983
g/mL
ASTM D453 1-86
SG/JL
0.001 g/cc
28 days
SOP
Yes
No (Goal Only)
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
80699
yes
NA
59.71
43.8
103.97,35.44, 141.31
0.2 ng/g and>
0.9963
9-9-99 C-2
NA in Soils
-0.1, -0.2
<20 RPD
89 - 93%R
89 - 97%R
60 ppm and >
0.9969
06/25/99
NA
NA
<20RPD
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"M", "DQO"
Yes Y
X ]
es Yes
< X
"DQO (NR)"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
For MeHg samples, a matrix spike is performed with every sample and is used to correct the results for loss of analyte.
-------
Station ID M4-556-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
Yes
Yes
Yes
Yes
Yes
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
Yes
Yes
ng/g
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers |_
"M", "DQO"
"DQO (NR)"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-566-SFF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analysl
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analysl
All Calculation Checked
QC Limits Met
Notes
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-7-99/No Time
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-7-99/No Time
08/12/99
08/13/99
X
SD = SF = S = Soil
5-7-99/No Time
09/03/99
09/09/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
5.557, 5.435
200 ul
aliquot
See Worksheets
0.84
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
214.2
Ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-7-99/No Time
06/25/99
06/25/99
>ecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.8627
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-7-99/No Time
NA
Not Provided
80
80
80
NA
0.1541
g/mL
ASTM D453 1-86
SG/JL
0.001 g/cc
28 days
SOP
Yes
No (Goal Only)
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
81299
NA
yes
81.65
108.16
159
0.2 ng/g and>
0.9566
9-9-99 C-2
NA in Soils
-0.1, -0.2
<20 RPD
89 - 93%R
89 - 97%R
60 ppm and >
0.9969
06/25/99
NA
NA
<20RPD
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"M", "DQO"
Yes
X
Yes
X
Yes
X
"DQO (NR)"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
For MeHg samples, a matrix spike is performed with every sample and is used to correct the results for loss of analyte.
-------
Station ID M4-566-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
Yes
Yes
Yes
Yes
Yes
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
Yes
Yes
ng/g
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers |_
"M", "DQO"
"DQO (NR)"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-568-SFF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analysl
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analysl
All Calculation Checked
QC Limits Met
Notes
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-7-99/No Time
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-7-99/No Time
12/14/99
12/14/99
X
SD = SF = S = Soil
5-7-99/No Time
09/03/99
09/09/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
4.181g,3.423g
200ul
aliquot
Blending Dilution
0
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
162.1
ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-7-99/No Time
06/25/99
06/25/99
lecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.87
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-7-99/No Time
NA
Not Provided
80
80
80
NA
0.1046
g/mL
ASTM D453 1-86
SG/JL
0.001 g/cc
28 days
SOP
Yes
No (Goal Only)
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
121499
NA
yes
0.00
124.34
NR
0.2 ng/g and >
NR
9-9-99 C-2
NA in Soils
-0.1, -0.2
<20RPD
89 - 93%R
89 - 97%R
60 ppm and >
0.9969
06/25/99
NA
NA
<20 RPD
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"DQO"
Yes
X
Yes
X
Yes
X
"DQO (NR)"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
For MeHg samples, a matrix spike is performed with every sample and is used to correct the results for loss of analyte.
-------
Station ID M4-568-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
Narrative summaries will be written following the completion on the data analysis
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory
Internal COC
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
Is the same as station ID
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
Yes
Yes
Yes
Yes
Yes
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
Yes
Yes
ng/g
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers |_
"DQO"
"DQO (NR)"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-576-SFF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
QC Limits Met
Notes
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-4-99/No Time
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-4-99/No Time
03/26/00
03/26/00
X
SD = SF = S = Soil
5-4-99/No Time
09/03/99
09/09/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
4.624
4.56
aliquot
See Worksheet
1.85
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
250.61
ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-4-99/No Time
06/25/99
06/25/99
lecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.7171
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-4-99/No Time
NA
Not Provided
80
80
80
NA
0.1348
g/mL
ASTM D453 1-86
SG/JL
0.001 g/cc
28 days
SOP
Yes
No (Goal Only)
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
32600
NA
yes
11.04
110.5
107.03,87.14
0.2 ng/g and>
NR
9-9-99 C-2
NA in Soils
-0.1, -0.2
<20 RPD
89 - 93%R
89 - 97%R
60 ppm and >
0.9969
06/25/99
NA
NA
<20RPD
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
Yes Y
X ]
es Yes
< X
"DQO (NR)"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
For MeHg samples, a matrix spike is performed with every sample and is used to correct the results for loss of analyte.
-------
Station ID M4-576-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
Narrative summaries will be written following the completion on the data analysis
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory i
Internal COC
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
Is the same as station ID
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
Yes
Yes
Yes
Yes
Yes
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
Yes
Yes
ng/g
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers |_
"DQO (NR)"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-586-SFF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
QC Limits Met
Notes
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-6-99/No Time
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-6-99/No Time
08/20/99
08/20/99
X
SD = SF = S = Soil
5-6-99/No Time
09/03/99
09/09/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
4.302g,4.217g
200ul
aliquot
Blending Dilution
0
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
63
ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-6-99/No Time
06/25/99
06/25/99
lecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.2126
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-6-99/No Time
NA
Not Provided
80
80
80
NA
0.457
g/mL
ASTM D453 1-86
SG/JL
0.001 g/cc
28 days
SOP
Yes
No (Goal Only)
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
82099
NA
yes
0
28.16
81.4
0.2 ng/g and>
0.9713
9-9-99 C-2
NA in Soils
-0.1, -0.2
<20 RPD
89 - 93%R
89 - 97%R
60 ppm and >
0.9969
06/25/99
NA
NA
>20RPD
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"M"
Yes
X
Yes
X
"DQO"
Yes
X
"DQO (NR)"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
For MeHg samples, a matrix spike is performed with every sample and is used to correct the results for loss of analyte.
-------
Station ID M4-586-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
Yes
Yes
Yes
Yes
Yes
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
Yes
Yes
ng/g
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers |_
"DQO"
"DQO (NR)"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
QC Limits Met
Notes
M4-594-SFF Soil/Sediment
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-5-99/No Time
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-5-99/No Time
12/15/99
12/15/99
X
SD = SF = S = Soil
5-5-99/No Time
09/03/99
09/09/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
4.296g,4.078g
200ul
aliquot
See Worksheet
1.58
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
330.6
ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-5-99/No Time
06/25/99
06/25/99
lecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.6824
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-5-99/No Time
NA
Not Provided
80
80
80
NA
0.1944
g/mL
ASTM D453 1-86
SG/JL
0.001 g/cc
28 days
SOP
Yes
No (Goal Only)
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
121599
NA
yes
-38.82
80.89
75.79
0.2 ng/g and >
0.9881
9-9-99 C-la
NA in Soils
-0.3, -0.4
<20RPD
95 - 96%R
62 - 100%R
60 ppm and >
0.9952
06/25/99
NA
NA
<20 RPD
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"DQO"
Yes Y
X ]
"DQO"
es Yes
< X
"DQO (NR)"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
For MeHg samples, a matrix spike is performed with every sample and is used to correct the results for loss of analyte.
-------
Station ID M4-594-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers I
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
Yes
Yes
Yes
Yes
Yes
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
Yes
Yes
ng/g
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
"DQO"
"DQO"
"DQO (NR)"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-599-SFF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
QC Limits Met
Notes
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-6-99/No Time
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-6-99/No Time
03/25/00
03/25/00
X
SD = SF = S = Soil
5-6-99/No Time
10/13/99
10/29/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
4.44, 5.363
200ul
aliquot
See Worksheet
0.61
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
176.6
ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-6-99/No Time
06/25/99
06/25/99
lecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.9124
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-6-99/No Time
NA
Not Provided
80
80
80
NA
0.1849
g/mL
ASTM D453 1-86
SG/JL
0.001 g/cc
28 days
SOP
Yes
No (Goal Only)
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
32500
NA
yes
-30.44
129.76
85.34, 124.05
0.2 ng/g and>
0.9985
10-29-99 C-l
NA in Soils
0.0, -0.1
<20 RPD
86-91%R
93- 101%R
60 ppm and >
0.9962
06/25/99
NA
NA
<20RPD
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"DQO"
Yes Y
X ]
es Yes
< X
"DQO (NR)"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
For MeHg samples, a matrix spike is performed with every sample and is used to correct the results for loss of analyte.
-------
Station ID M4-599-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
Yes
Yes
Yes
Yes
Yes
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
Yes
Yes
ng/g
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers |_
"DQO"
"DQO (NR)"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-809-SFF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
QC Limits Met
Notes
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-1 1-99/No Time
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-11-99/NoTime
09/10/99
09/10/99
X
SD = SF = S = Soil
5-1 1-99/No Time
10/13/99
10/29/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
5.473g,5.544g
200ul
aliquot
Blending Dilution
ND
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
179.5
ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-1 1-99/No Time
06/25/99
06/25/99
lecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.9644
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-1 1-99/No Time
NA
Not Provided
80
80
80
NA
0.071
g/mL
ASTM D453 1-86
SG/JL
0.001 g/cc
28 days
SOP
Yes
No (Goal Only
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
91099
NA
yes
0
36.57
good
0.2 ng/g and>
0.9957
10-29-99 C-l
NA in Soils
0.0, -0.1
<20 RPD
86-91%R
93- 101%R
60 ppm and >
0.9962
06/25/99
NA
NA
<20RPD
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"M"
Yes Y
X ]
es Yes
< X
"DQO (NR)"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
For MeHg samples, a matrix spike is performed with every sample and is used to correct the results for loss of analyte.
-------
Station ID M4-809-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
Yes
Yes
Yes
Yes
Yes
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
Yes
Yes
ng/g
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers |_
"DQO (NR)"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M4-872-SFF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range^
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analys!
All Calculation Checked
QC Limits Met
Notes
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
5-8-99/No Time
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
5-8-99/No Time
03/28/00
03/28/00
X
SD = SF = S = Soil
5-8-99/No Time
10/13/99
10/29/99
The Batch Numbers are referenced by the Sample ID range. They are s
ppm
CVAF
4.517,4.562
200ul
aliquot
See Worksheet
0.23
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
154.9
ug/g
EPA 365.1
Angel
0.06
X
SD = SF = S = Soil
5-8-99/No Time
06/25/99
06/25/99
lecific to this project.
0.025 g
0.025 g
0.025 g
NA
0.628
%
ASTM D2974-87
SG/JL
X
SD = SF = S = Soil
5-8-99/No Time
NA
Not Provided
80
80
80
NA
0.1594
g/mL
ASTM D453 1-86
SG/JL
O.OOlg/cc
28 days
SOP
Yes
No (Goal Only)
Yes
X
No (Goal Only)
Yes
X
NA
Yes
X
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
32800b
NA
yes
-49.52
95.92
NR
0.2 ng/g and>
NR
10-29-99 C-l
NA in Soils
0.0, -0.1
<20 RPD
86-91%R
93-101%R
60 ppm and >
0.9962
06/25/99
NA
NA
<20RPD
NA
NA
NA
NA
Not Provided
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"DQO (NR)11
Yes Y
X ]
es Yes
< X
"NR"
No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time. Holding time is a goal only.
Some analysis for AFDW were Re-Run based on negative numbers reported, but no QA/QC batches were re-run.
No duplicate/replicate measurements were taken with the Bulk Density analysis.
For MeHg samples, a matrix spike is performed with every sample and is used to correct the results for loss of analyte.
-------
Station ID M4-872-SFF
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
X
X
Not Noted
Date/No Time
Not Noted
Internal COC
Yes
Yes
Yes
Yes
Yes
X
X
X
X
X
X
X
NA
X
X
X
X
NA
X
X
Yes
Yes
ng/g
X
X
Ug/g
X
X
%
X
X
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers |_
"DQO"
"NR"
Data Qualifiers/Footnotes:
" J " Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
" Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
" R2 " Correlation Coefficient is out of QAPP limits.
" M " Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
" B " Analyte concentration in the associated blank was >3 times the MDL.
" H " Analysis digestion performed after holding times have expired.
" NR " Data was unavailable for review.
" DQO " Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
" X " = Attached or Verified
-------
Fish - SERC
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/01/99 Checked by njs
Sample
M4-508-FIF-1
M4-508-FIF-2
M4-508-FIF-3
M4-508-FIF-4
M4-508-FIF-5
M4-508-FIF-6
M4-508-FIF-7
M4-533-FIF-1
M4-533-FIF-2
M4-533-FIF-3
M4-533-FIF-4
M4-533-FIF-5
M4-533-FIF-6
M4-533-FIF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM2#12
DORM2#12
DORM2#14
DORM2#14
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV10-
CCV-11
CCV-1 2
QC
Batch
HO01OF1
Qualifier
Note
Instrument
Reading
Peak Height
107.9
109.4
36.5
36
39.3
39.1
83.3
83.6
47.3
46.9
45.4
45.7
32.6
32.3
93.8
93.8
85.7
84
97.6
97.1
186
185.5
116.7
116.7
127.1
127.4
173.1
174.5
2.457
1.503
1.98
1.264
0.3
36.1
36.3
33.4
33.6
81.4
82.2
80.1
80.4
80.6
80.4
78.9
80.1
81.5
81.4
79.9
79
Y Intercept
Slope
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
0.4200
Hg
Concentration
(PPt)
256.9
260.5
86.9
85.7
93.6
93.1
198.3
199.0
112.6
111.7
108.1
108.8
77.6
76.9
223.3
223.3
204.0
200.0
232.4
231.2
442.9
441.7
277.9
277.9
302.6
303.3
412.1
415.5
5.9
3.6
4.7
3.0
0.7
86.0
86.4
79.5
80.0
193.8
195.7
190.7
191.4
191.9
191.4
187.9
190.7
194.0
193.8
190.2
188.1
Vol.
added
(mL)
0.5
0.5
0.5
0.5
1
1
1
1
1
1
1
1
1
1
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
1
1
1
1
1
1
0.5
0.5
0.1
0.1
0.1
0.1
Average
Reagent
Blank (ng)
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
0.386
Corrected Hg
Concentration
(ng)
31.21
31.65
10.30
10.16
5.51
5.48
12.11
12.15
6.71
6.65
6.42
6.47
4.50
4.46
67.28
67.28
61.44
60.21
70.03
69.66
54.09
53.94
83.80
83.80
18.68
18.72
25.58
25.79
0.37
0.23
0.58
0.37
51.44
51.73
47.57
47.85
Weight
offish
(g)
0.2244
0.2244
0.1461
0.1461
0.0989
0.0989
0.0918
0.0918
0.1362
0.1362
0.0972
0.0972
0.1196
0.1196
0.3507
0.3507
0.428
0.428
0.3388
0.3388
0.2082
0.2082
0.3355
0.3355
0.1482
0.1482
0.0942
0.0942
0.0098
0.0098
0.01
0.01
Hg
Concentration
ppb
139.10
141.05
70.52
69.52
55.70
55.40
131.91
132.40
49.26
48.82
66.09
66.55
37.66
37.28
191.86
191.86
143.55
140.69
206.69
205.62
259.78
259.07
249.79
249.79
126.04
126.34
271.54
273.77
0.0007
5249.31
5278.62
4756.69
4785.40
0.1938
0.1957
0.1907
0.1914
0.1919
0.1914
0.1879
0.1907
0.1940
0.1938
0.1902
0.1881
Averaged
Result
ppb
140.08
70.02
55.55
132.15
49.04
66.32
37.47
191.86
142.12
206.15
259.42
249.79
126.19
272.65
0.30
0.48
0.0007
5263.97
4771.04
Averaged
Reported
Result (ppb)
78.66
206.88
0.386
0.0007
5017.50
0.192
Detection
Limit/*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
4600
4600
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
R%
#####
#####
#####
#####
96.90
97.86
95.36
95.71
95.95
95.71
93.93
95.36
97.02
96.90
95.12
94.05
Standard
Deviation
285.08
0.0024
Relative
Standard
Deviation
5.7
1.24
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/01/99 Checked by njs
Sample
M4-538-FIF-1
M4-538-FIF-2
M4-538-FIF-3
M4-538-FIF-4
M4-538-FIF-5
M4-538-FIF-6
M4-538-FIF-7
M4-548-FIF-1
M4-548-FIF-2
M4-548-FIF-3
M4-548-FIF-4
M4-548-FIF-5
M4-548-FIF-6
M4-548-FIF-7
Method Blank- 1
Method Blank-0.5
Instrument Blank
DORM2#3
DORM2#3
DORM2#4
DORM2#4
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-11
CCV-1 2
CCV-1 3
CCV-1 4
QC
Batch
HO02OF1
Qualifier
Note
Instrument
Reading
Peak Height
22.4
22.2
13.5
13.7
29.7
29.5
16.5
16.8
24.4
24.3
15
14.6
15
14.7
50.5
50.9
79.6
80
30.9
30.2
19.2
19.1
41.1
40.1
25.8
24.4
1
0.4
0.2
0.1
1
31.7
31.3
36.6
36.9
88
87.4
84.2
85.5
86.6
86.8
86.2
87
87.8
88.1
84.6
86.1
88.4
88.9
Y Intercept
Slope
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
0.4213
Hg
Concentration
(PPt)
53.2
52.7
32.0
32.5
70.5
70.0
39.2
39.9
57.9
57.7
35.6
34.7
35.6
34.9
119.9
120.8
188.9
189.9
73.3
71.7
45.6
45.3
97.6
95.2
61.2
57.9
2.4
0.9
0.5
0.2
2.4
75.2
74.3
86.9
87.6
208.9
207.5
199.9
202.9
205.6
206.0
204.6
206.5
208.4
209.1
200.8
204.4
209.8
211.0
Vol.
added
(mL)
1
1
0.5
0.5
0.5
0.5
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0.5
0.5
0.1
0.1
0.1
0.1
Average
Reagent
Blank (ng)
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
0.074
Corrected Hg
Concentration
(ng)
3.28
3.25
3.87
3.93
8.60
8.54
.39
.44
.57
.56
.17
.11
.17
.12
7.48
7.54
11.83
11.89
4.55
4.44
2.80
2.78
6.07
5.92
3.78
3.57
0.15
0.06
0.06
0.03
45.30
44.73
52.31
52.74
Weight
offish
(g)
0.1210
0.1210
0.1413
0.1413
0.2727
0.2727
0.098
0.098
0.1133
0.1133
0.0966
0.0966
0.1019
0.1019
0.0557
0.0557
0.0688
0.0688
0.0389
0.0389
0.0696
0.0696
0.0609
0.0609
0.0306
0.0306
0.0101
0.0101
0.0145
0.0145
Hg
Concentration
ppb
27.1
26.8
27.4
27.8
31.5
31.3
24.4
24.9
31.6
31.4
22.5
21.8
21.3
20.8
134.2
135.3
171.9
172.8
116.9
114.2
40.2
40.0
99.7
97.2
123.7
116.8
0.0024
4484.9
4428.2
3607.7
3637.3
0.2089
0.2075
0.1999
0.2029
0.2056
0.2060
0.2046
0.2065
0.2084
0.2091
0.2008
0.2044
0.2098
0.2110
Averaged
Result
ppb
26.95
27.58
31.42
24.65
31.48
22.14
21.07
134.79
172.37
115.54
40.08
98.48
120.24
0.10
0.04
0.0024
4456.58
3622.46
Averaged
Reported
Result (ppb)
26.47
113.58
0.074
0.0024
4039.520
0.206
Detection
Limit/*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
4600
4600
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
R%
97.50
96.27
78.43
79.07
#####
#####
99.93
#####
#####
#####
#####
#####
#####
#####
#####
#####
#####
#####
Standard
Deviation
589.81
0.0033
Relative
Standard
Deviation
14.6
1.62
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/01/99 Checked by njs
Sample
M4-556-FIF-1
M4-556-FIF-2
M4-556-FIF-3
M4-566-FIF-1
M4-566-FIF-2
M4-566-FIF-3
M4-566-FIF-4
M4-566-FIF-5
M4-566-FIF-6
M4-566-FIF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
SRM
DORM2#5
SRM
DORM2#6+A308
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV10-
CCV-11
CCV-1 2
CCV-1 3
CCV-1 4
CCV-1 5
CCV-1 6
CCV-1 7
CCV-1 8
QC
Batch
HO07OF1
Qualifier
Note
Instrument
Reading
Peak Height
39.2
38.4
31.9
31.5
7.1
6.6
86.3
87.3
60.8
61.2
35
34.7
64.3
64.6
91.6
90.9
47.9
47.7
58.6
59
1.9
1.3
0.8
0.7
1.2
29.2
28.8
28
27.9
77.1
77.1
74.2
74.7
78
70.2
69.7
70.4
78.2
78.5
78.4
78.1
75
74.3
79.4
78.7
77.6
78.2
Y Intercept
Slope
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
0.3958
Hg
Concentration
(PPt)
99.0
97.0
80.6
79.6
17.9
16.7
218.0
220.6
153.6
154.6
88.4
87.7
162.5
163.2
231.4
229.7
121.0
120.5
148.1
149.1
4.8
3.3
2.0
1.8
3.0
73.8
72.8
70.7
70.5
194.8
194.8
187.5
188.7
197.1
177.4
176.1
177.9
197.6
198.3
198.1
197.3
189.5
187.7
200.6
198.8
196.1
197.6
Vol.
added
(mL)
1
1
1
1
1
1
1
1
0.5
0.5
0.5
0.5
0.2
0.2
1
1
1
1
1
1
1
1
0.5
0.5
0.1
0.1
0.1
0.1
Average
Reagent
Blank (ng)
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
0.244
Corrected Hg
Concentration
(ng)
6.00
5.87
4.83
4.77
0.89
0.81
13.49
13.65
18.65
18.77
10.63
10.54
48.98
49.21
14.34
14.22
7.38
7.35
9.08
9.15
0.30
0.21
0.25
0.22
44.24
43.63
42.41
42.26
Weight
offish
(g)
0.102
0.102
0.1084
0.1084
0.0293
0.0293
0.0952
0.0952
0.2015
0.2015
0.1619
0.1619
0.3513
0.3513
0.1386
0.1386
0.0744
0.0744
0.1407
0.1407
0.0098
0.0098
0.01
0.01
Hg
Concentration
ppb
58.78
57.53
44.59
44.00
30.24
27.53
141.73
143.40
92.56
93.17
65.67
65.10
139.43
140.08
103.43
102.63
99.20
98.77
64.56
65.01
0.00303
4514.50
4452.32
4241.39
4226.16
0.1948
0.1948
0.1875
0.1887
0.1971
0.1774
0.1761
0.1779
0.1976
0.1983
0.1981
0.1973
0.1895
0.1877
0.2006
0.1988
0.1961
0.1976
Averaged
Result
ppb
58.16
44.30
28.88
142.56
92.87
65.39
139.75
103.03
98.98
64.79
0.25
0.23
0.0030
4483.41
4233.77
Averaged
Reported
Result (ppb)
43.78
101.05
0.244
0.0030
4358.59
0.192
Detection
Limit/*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
4600
4600
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
R%
98.14
96.79
92.20
91.87
97.40
97.40
93.73
94.37
98.53
88.68
88.05
88.93
98.79
99.17
99.04
98.66
94.74
93.86
#####
99.42
98.03
98.79
Standard
Deviation
146.48
0.0079
Relative
Standard
Deviation
3.4
4.13
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/01/99 Checked by njs
Sample
M4-568-FIF-1
M4-568-FIF-2
M4-568-FIF-3
M4-568-FIF-4
M4-568-FIF-5
M4-568-FIF-6
M4-568-FIF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM2#12
DORM2#12
DORM2#14
DORM2#14
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CC VI CI-
GGY- 11
CCV-1 2
CCV-1 3
CCV-1 4
QC
Batch
HO08OF1
Qualifier
Note
Instrument
Reading
Peak Height
104.83
100.55
76.78
76.78
90.09
89.86
70.13
70.6
65.85
65.37
50.87
50.87
66.56
66.32
8.2
7.9
2.5
2.9
1.2
42.3
42.9
38.3
39
87.6
88.2
84.1
83.8
84.5
85.7
85.8
85.2
77
77.2
90
90.7
83.4
82.5
Y Intercept
Slope
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
0.4207
Hg
Concentration
(PPt)
249.2
239.0
182.5
182.5
214.1
213.6
166.7
167.8
156.5
155.4
120.9
120.9
158.2
157.6
19.5
18.8
5.9
6.9
2.9
100.5
102.0
91.0
92.7
208.2
209.7
199.9
199.2
200.9
203.7
203.9
202.5
183.0
183.5
213.9
215.6
198.2
196.1
Vol.
added
(mL)
0.5
0.5
0.1
0.1
0.1
0.1
Average
Reagent
Blank (ng)
0.997
0.997
0.997
0.997
0.997
0.997
0.997
0.997
0.997
0.997
0.997
0.997
0.997
0.997
0.997
0.997
0.997
0.997
Corrected Hg
Concentration
(ng)
14.70
14.06
10.50
10.50
12.49
12.46
9.50
9.58
8.86
8.79
6.62
6.62
8.97
8.93
1.23
1.18
0.73
0.85
59.63
60.49
53.90
54.90
Weight
offish
(g)
0.141
0.141
0.0919
0.0919
0.069
0.069
0.0942
0.0942
0.0917
0.0917
0.0701
0.0701
0.0538
0.0538
0.0118
0.0118
0.0116
0.0116
Hg
Concentration
ppb
104.26
99.72
114.26
114.26
181.07
180.57
100.90
101.65
96.66
95.88
94.45
94.45
166.74
166.07
0.0029
5053.62
5126.50
4646.50
4732.99
0.2082
0.2097
0.1999
0.1992
0.2009
0.2037
0.2039
0.2025
0.1830
0.1835
0.2139
0.2156
0.1982
0.1961
Averaged
Result
ppb
101.99
114.26
180.82
101.28
96.27
94.45
166.40
1.21
0.79
0.0029
5090.06
4689.74
Averaged
Reported
Result (ppb)
122.21
0.997
0.0029
4889.90
0.201
Detection
Limit/*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
4600
4600
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
R%
#####
#####
#####
#####
#####
#####
99.95
99.60
#####
#####
#####
#####
91.51
91.75
#####
#####
99.12
98.05
Standard
Deviation
235.69
0.0096
Relative
Standard
Deviation
4.8
4.75
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by Rtc 12/01/99
Checked by njs
Sample
M4-576-FIF-1
M4-576-FIF-2
M4-576-FIF-3
M4-576-FIF-4
M4-576-FIF-5
M4-576-FIF-6
M4-576-FIF-7
M4-594-FIF-2
M4-594-FIF-3
M4-594-FIF-4
M4-594-FIF-5
M4-594-FIF-6
M4-594-FIF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM2#12
DORM2#12
DORM2#14
DORM2#14
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV10-
CCV-11
CCV-1 2
CCV-1 3
CCV-1 4
CCV-1 5
CCV-1 6
CCV-1 7
CCV-1 8
CCV-1 9
CCV-20
QC
Batch
HO12OF1
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"
Qualifier
Note
Instrument
Reading
Peak Height
63.9
65.5
147.2
147.8
94.8
89.6
145.7
148.6
71.7
70.1
133.7
136.4
115.5
111.1
151.1
150.7
114.7
108.5
127.2
128.3
89.2
87.7
81.3
81.6
144.2
144.5
0.8
0.2
0.2
0.3
1.5
38.7
38.8
40
39.6
77.6
77.6
77.2
78.8
78.3
79.7
77.2
76.4
74.7
74.2
85.9
85.6
82.5
81.6
82
81.2
83.7
83.5
79.5
79.5
Y Intercept
Slope
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
0.4396
Hg
Concentration
(PPt)
145.4
149.0
334.8
336.2
215.7
203.8
331.4
338.0
163.1
159.5
304.1
310.3
262.7
252.7
343.7
342.8
260.9
246.8
289.4
291.9
202.9
199.5
184.9
185.6
328.0
328.7
1.8
0.5
0.5
0.7
3.4
88.0
88.3
91.0
90.1
176.5
176.5
175.6
179.3
178.1
181.3
175.6
173.8
169.9
168.8
195.4
194.7
187.7
185.6
186.5
184.7
190.4
189.9
180.8
180.8
Vol.
added
(mL)
0.2
0.2
0.2
0.2
0.5
0.5
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.5
0.5
0.5
0.5
0.5
0.5
0.1
0.1
0.1
0.1
Average
Reagent
Blank (ng)
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.071
0.071
0.071
0.071
Corrected Hg
Concentration
(ng)
43.97
45.08
101.39
101.80
26.45
25.00
100.35
102.35
49.35
48.25
92.08
93.94
79.54
76.51
42.21
42.09
32.02
30.29
18.16
18.32
12.71
12.50
11.58
11.62
20.59
20.64
0.11
0.03
0.06
0.08
53.01
53.15
54.80
54.25
Weight
offish
(g)
0.3209
0.3209
0.3221
0.3221
0.1871
0.1871
0.3248
0.3248
0.2094
0.2094
0.2676
0.2676
0.3355
0.3355
0.218
0.218
0.1744
0.1744
0.0729
0.0729
0.0945
0.0945
0.0787
0.0787
0.1148
0.1148
0.0116
0.0116
0.0119
0.0119
Hg
Concentration
ppb
137.03
140.47
314.77
316.06
141.39
133.61
308.97
315.13
235.67
230.40
344.11
351.06
237.08
228.04
193.61
193.10
183.61
173.67
249.09
251.25
134.52
132.25
147.14
147.69
179.40
179.77
0.0034
4570.2
4582.0
4604.8
4558.7
0.1765
0.1765
0.1756
0.1793
0.1781
0.1813
0.1756
0.1738
0.1699
0.1688
0.1954
0.1947
0.1877
0.1856
0.1865
0.1847
0.1904
0.1899
0.1808
0.1808
Averaged
Result
ppb
138.75
315.42
137.50
312.05
233.04
347.59
232.56
193.35
178.64
250.17
133.39
147.42
179.58
0.07
0.07
0.0034
4576.07
4581.74
Averaged
Reported
Result (ppb)
245.27
180.42
0.071
0.0034
4578.91
0.182
Detection
Limit/*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
99.35
99.61
#####
99.10
88.26
88.26
87.81
89.63
89.06
90.65
87.81
86.90
84.96
84.39
97.70
97.36
93.84
92.81
93.27
92.36
95.20
94.97
90.42
90.42
Standard
Deviation
4.01
0.0076
Relative
Standard
Deviation
0.1
4.19
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/01/99 Checked by njs
Sample
M4-599-FIF-1
M4-599-FIF-2
M4-599-FIF-3
M4-599-FIF-4
M4-599-FIF-5
M4-599-FIF-6
M4-599-FIF-7
M4-809-FIF-1
M4-809-FIF-2
M4-809-FIF-3
M4-809-FIF-4
M4-809-FIF-5
M4-809-FIF-6
M4-809-FIF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM2#16
DORM2#16
DORM2#17
DORM2#17
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-11
CCV-1 2
CCV-1 3
CCV-1 4
QC
Batch
HO13OF1
Qualifier
Note
Instrument
Reading
Peak Height
97.7
97.6
143.3
142.6
143.4
150.9
122.2
124.3
140.6
141.7
104.2
104.9
123.7
123.5
47.6
46.7
38.9
39.8
79.4
80.3
46.5
45.8
44.4
44.9
43.2
43.9
116.6
116.6
13.2
12.7
6.4
6.6
0.9
37
37
40
40.3
88.1
88.6
87.7
87.2
82.2
81.7
85.9
85.5
79.3
79.9
81
81.8
81.5
81.1
Y Intercept
Slope
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
0.4347
Hg
Concentration
(PPt)
224.8
224.5
329.7
328.0
329.9
347.1
281.1
285.9
323.4
326.0
239.7
241.3
284.6
284.1
109.5
107.4
89.5
91.6
182.7
184.7
107.0
105.4
102.1
103.3
99.4
101.0
268.2
268.2
30.4
29.2
14.7
15.2
2.1
85.1
85.1
92.0
92.7
202.7
203.8
201.7
200.6
189.1
187.9
197.6
196.7
182.4
183.8
186.3
188.2
187.5
186.6
Vol.
added
(mL)
0.2
0.2
1
1
0.5
0.5
0.2
0.2
0.2
0.2
0.2
0.2
0.5
0.5
0.2
0.2
0.2
0.2
0.5
0.5
0.5
0.5
0.2
0.2
0.2
0.2
0.5
0.5
1
1
0.5
0.5
0.1
0.1
0.1
0.1
Average
Reagent
Blank (ng)
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
1.858
Corrected Hg
Concentration
(ng)
66.24
66.17
18.91
18.81
38.72
40.84
83.32
84.78
96.14
96.91
70.77
71.26
33.14
33.09
31.32
30.69
25.26
25.88
20.61
20.86
11.30
11.10
29.09
29.44
28.25
28.74
31.13
31.13
1.91
1.84
1.81
1.87
49.47
49.47
53.63
54.04
Weight
offish
(g)
0.2005
0.2005
0.1279
0.1279
0.116
0.116
0.2133
0.2133
0.3574
0.3574
0.2894
0.2894
0.119
0.119
0.2891
0.2891
0.2561
0.2561
0.1951
0.1951
0.1553
0.1553
0.2348
0.2348
0.321
0.321
0.1989
0.1989
0.0119
0.0119
0.0121
0.0121
Hg
Concentration
ppb
330.38
330.04
147.85
147.06
333.77
352.07
390.62
397.48
269.01
271.16
244.55
246.24
278.52
278.04
108.34
106.17
98.62
101.07
105.63
106.94
72.76
71.48
123.89
125.38
88.02
89.54
156.53
156.53
0.0021
4156.9
4156.9
4432.1
4466.5
0.2027
0.2038
0.2017
0.2006
0.1891
0.1879
0.1976
0.1967
0.1824
0.1838
0.1863
0.1882
0.1875
0.1866
Averaged
Result
ppb
330.21
147.45
342.92
394.05
270.08
245.39
278.28
107.25
99.84
106.28
72.12
124.64
88.78
156.53
1.88
1.84
0.0021
4156.90
4449.31
Averaged
Reported
Result (ppb)
286.91
107.92
1.858
0.0021
4303.101
0.192
Detection
Limit/*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
4600
4600
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
R%
90.37
90.37
96.35
97.10
#####
#####
#####
#####
94.55
93.97
98.80
98.34
91.21
91.90
93.17
94.09
93.74
93.28
Standard
Deviation
206.77
0.0076
Relative
Standard
Deviation
4.8
3.95
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the May 1999 Dry Season (M4)
Entered by gtc 12/01/99 Checked by njs
Sample
M4-872-FIF-1
M4-872-FIF-2
M4-872-FIF-3
M4-872-FIF-4
M4-872-FIF-5
M4-872-FIF-6
M4-872-FIF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM2#18
DORM2#18
DORM2#19
DORM2#19
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-11
CCV-1 2
CCV-1 3
CCV-1 4
QC
Batch
HO22OF1
Qualifier
Note
Instrument
Reading
Peak Height
98.8
99.6
141.2
139.8
87.9
87.9
120.2
120
46.9
46.5
73.3
72.6
98
98.8
5
4.8
2.3
2.5
1.3
32.9
32.6
39.8
39.8
91.2
91.8
90.6
90.6
89.1
89.5
89.2
90.9
88.9
89.7
89.1
89
88.7
89
Y Intercept
Slope
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
0.4589
Hg
Concentration
(PPt)
215.3
217.0
307.7
304.6
191.5
191.5
261.9
261.5
102.2
101.3
159.7
158.2
213.6
215.3
10.9
10.5
5.0
5.4
2.8
71.7
71.0
86.7
86.7
198.7
200.0
197.4
197.4
194.2
195.0
194.4
198.1
193.7
195.5
194.2
193.9
193.3
193.9
Vol.
added
(mL)
0.5
0.5
0.5
0.5
0.5
0.5
0.5
0.5
0.5
0.5
0.1
0.1
0.1
0.1
Average
Reagent
Blank (ng)
0.658
0.658
0.658
0.658
0.658
0.658
0.658
0.658
0.658
0.658
0.658
0.658
0.658
0.658
0.658
0.658
0.658
0.658
Corrected Hg
Concentration
(ng)
25.82
26.04
37.19
36.81
22.90
22.90
31.56
31.51
5.78
5.73
9.40
9.31
12.80
12.91
0.69
0.66
0.62
0.67
42.57
42.18
51.64
51.64
Weight
offish
(g)
0.131
0.131
0.2128
0.2128
0.1423
0.1423
0.1774
0.1774
0.0742
0.0742
0.0517
0.0517
0.0704
0.0704
0.0101
0.0101
0.0145
0.0145
Hg
Concentration
ppb
197.13
198.76
174.76
172.99
160.94
160.94
177.90
177.60
77.91
77.17
181.91
180.06
181.76
183.32
0.0028
4215.1
4176.1
3561.4
3561.4
0.1987
0.2000
0.1974
0.1974
0.1942
0.1950
0.1944
0.1981
0.1937
0.1955
0.1942
0.1939
0.1933
0.1939
Averaged
Result
ppb
197.95
173.87
160.94
177.75
77.54
180.99
182.54
0.67
0.64
0.0028
4195.63
3561.36
Averaged
Reported
Result (ppb)
164.51
0.658
0.0028
3878.494
0.196
Detection
Limit/*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
4600
4600
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
R%
91.63
90.79
77.42
77.42
99.37
#####
98.71
98.71
97.08
97.52
97.19
99.04
96.86
97.73
97.08
96.97
96.64
96.97
Standard
Deviation
448.50
0.0022
Relative
Standard
Deviation
11.6
1.12
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID C
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analysl
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analys
All Calculation Checked
QC Limits Met
Notes
M4-501-FIF
Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
No Samples were Collected
FS = FI = Fh = Fish
No Samples were Collected
No Samples were Collected
FS = FI = Fh = Fish
No Samples were Collected
No Samples were Collected
FS = FI = Fh = Fish
No Samples were Collected
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppb
CVAF
No Sample
3.2 ppb
mm
Measurement
No Sample
NA
g
Measurement
No Sample
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By: Date/Time
By: Date/Time
Samples were not collected and/or delivered to the SERC Laboratory.
-------
Station ID
M4-501-FIF
Fish
Total Hg
Length
Weight
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records No Chain of Custody Sample log summary only
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Not Noted
Date/No Time
Not Noted
Date/No Time
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
Notes are the raw data and the instrument data.
ppb
mm
o
&
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers | No Samples were Collected | No Samples were Collected | No Samples were Collected
X = Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M4-508-FIF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
5-1 1-99/No Time
06/03/99
07/01/99
X
FS = FI = Fh = Fish
5-11-99/NoTime
06/03/99
06/03/99
X
FS = FI = Fh = Fish
5-1 1-99/No Time
06/03/99
06/03/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
89.7 (Average of 7)
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
22-30
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
0.0989 - 0.2244
g
Measurement
MB
NA
No
X
Yes (28 day Holding Time)
No
X
No (Goal Only)
No
X
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG01GF1
0.386
0.0007
<20RPD
DORM103-115%R
93 - 98%R
3. 2 ppb and >
0.9999
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
No
X
No
X
No
X
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only, not a hard deadline.
Measurements offish length and weight were measured after holding time goals.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M4-508-FIF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers [_
X= Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M4-533-FIF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
5-11-99/NoTime
06/03/99
07/01/99
X
FS = FI = Fh = Fish
5-1 1-99/No Time
06/03/99
06/03/99
X
FS = FI = Fh = Fish
5-11-99/NoTime
06/03/99
06/03/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
200-1000
206. 9 (Average of 7)
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
21-32
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
0.0942 - 0.428
g
Measurement
MB
NA
No
X
Yes (28 day Holding Time)
No
X
No (Goal Only)
No
X
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG01GF1
0.386
0.0007
<20RPD
DORM103-115%R
93 - 98%R
3. 2 ppb and >
0.9999
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
No
X
No
X
No
X
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only, not a hard deadline.
Measurements offish length and weight were measured after holding time goals.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M4-533-FIF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers [_
X= Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
M4-538-FIF
Fish
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
5-10-99/No Time
06/03/99
07/02/99
X
FS = FI = Fh = Fish
5-10-99/No Time
06/03/99
06/03/99
X
FS = FI = Fh = Fish
5-10-99/No Time
06/03/99
06/03/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
26. 47 (Average of 7)
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
20-25
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
0.0966 - 0.2727
g
Measurement
MB
NA
No
X
Yes (28 day Holding Time)
No
X
No (Goal Only)
No
X
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG02GF1
0.074
0.0024
<20 RSD
78 - 98%R
100 - 106%R
3. 2 ppb and >
0.9991
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
No
X
No
X
No
X
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only, not a hard deadline.
Measurements offish length and weight were measured after holding time goals.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M4-538-FIF
Fish
Total Hg
Length
Weight
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers \_
X = Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
M4-548-FIF
Fish
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
5-9-99/No Time
06/04/99
07/02/99
X
FS = FI = Fh = Fish
5-9-99/No Time
06/04/99
06/04/99
X
FS = FI = Fh = Fish
5-9-99/No Time
06/04/99
06/04/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
6 Fish
6 Fish
Aliquot
1000
113.6 (Average of 6)
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
15-23
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
0.0306 - 0.0696
g
Measurement
MB
NA
No
X
Yes (28 day Holding Time)
No
X
No (Goal Only)
No
X
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG02GF1
0.074
0.0024
<20 RSD
78 - 98%R
100 - 106%R
3. 2 ppb and >
0.9991
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
No
X
No
X
No
X
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only, not a hard deadline.
Measurements offish length and weight were measured after holding time goals.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M4-548-FIF
Fish
Total Hg
Length
Weight
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers \_
X = Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
M4-556-FIF
Fish
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
5-8-99/No Time
06/04/99
07/07/99
X
FS = FI = Fh = Fish
5-8-99/No Time
06/04/99
06/04/99
X
FS = FI = Fh = Fish
5-8-99/No Time
06/04/99
06/04/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
3 Fish
3 Fish
Aliquot
1000
43. 78 (Average of 3)
ppb
CVAF
FDL/JL
3. 2 ppb
NA
3 Fish
3 Fish
NA
15-25
mm
Measurement
MB
NA
NA
3 Fish
3 Fish
NA
0.0293-0.1084
g
Measurement
MB
NA
No
X
Yes (28 day Holding Time)
No
X
No (Goal Only)
No
X
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG07GF1
0.244
0.003
<20 RSD
92 - 98%R
88 - 100%R
3. 2 ppb and >
0.9999
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
No
X
No
X
No
X
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only, not a hard deadline.
Measurements offish length and weight were measured after holding time goals.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M4-556-FIF
Fish
Total Hg
Length
Weight
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers \_
X = Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
M4-566-FIF
Fish
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
5-7-99/No Time
06/09/99
07/07/99
X
FS = FI = Fh = Fish
5-7-99/No Time
06/09/99
06/09/99
X
FS = FI = Fh = Fish
5-7-99/No Time
06/09/99
06/09/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
200-1000
10 1.1 (Average of 7)
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
22-35
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
0.0744-0.3513
g
Measurement
MB
NA
No
X
No (Goal Only)
No
X
No (Goal Only)
No
X
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG07GF1
0.244
0.003
<20 RSD
92 - 98%R
88 - 100%R
3. 2 ppb and >
0.9999
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
No
X
"H"
No
X
No
X
No descriptive narratives were provided by FIU.
Sample for total mercury was digested past holding time.
Holding time goals set for the length and weight measurements are guidelines only, not a hard deadline.
Measurements offish length and weight were measured after holding time goals.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M4-566-FIF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers \_
X = Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M4-568-FIF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
5-7-99/No Time
06/16/99
07/08/99
X
FS = FI = Fh = Fish
5-7-99/No Time
06/16/99
06/16/99
X
FS = FI = Fh = Fish
5-7-99/No Time
06/16/99
06/16/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
1000
122. 2 (Average of 7)
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
20-25
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
0.0538-0.141
g
Measurement
MB
NA
No
X
No (Goal Only)
No
X
No (Goal Only)
No
X
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG08GF1
0.997
0.0027
<20 RSD
102- 111 %R
91 - 108 %R
3. 2 ppb and >
0.999
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
No
X
"H"
No
X
No
X
No descriptive narratives were provided by FIU.
Sample for total mercury was digested past holding time.
Holding time goals set for the length and weight measurements are guidelines only, not a hard deadline.
Measurements offish length and weight were measured after holding time goals.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M4-568-FIF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers [_
X= Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
M4-576-FIF
Fish
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
5-4-99/No Time
06/18/99
07/12/99
X
FS = FI = Fh = Fish
5-4-99/No Time
06/18/99
06/18/99
X
FS = FI = Fh = Fish
5-4-99/No Time
06/18/99
06/18/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
200-500
245. 3 (Average of 7)
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
24-31
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
0.1871-0.3355
g
Measurement
MB
NA
Yes (MB)
X
No (Goal Only)
No
X
No (Goal Only)
No
X
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG12GF1
0.071
0.0034
<20 RSD
99 - 100 %R
84 - 97%R
3. 2 ppb and >
0.9998
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (MB)
X
"H"
No
X
No
X
No descriptive narratives were provided by FIU.
Sample for total mercury was digested past holding time.
Holding time goals set for the length and weight measurements are guidelines only, not a hard deadline.
Measurements offish length and weight were measured after holding time goals.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M4-576-FIF
Fish
Total Hg
Length
Weight
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers \_
X = Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M4-586-FIF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
No Samples were Collected
FS = FI = Fh = Fish
No Samples were Collected
No Samples were Collected
FS = FI = Fh = Fish
No Samples were Collected
No Samples were Collected
FS = FI = Fh = Fish
No Samples were Collected
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppb
CVAF
No Sample
3. 2 ppb
mm
Measurement
No Sample
NA
g
Measurement
No Sample
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
By: Date/Time
By: Date/Time
Samples were not collected and/or delivered to the SERC Laboratory.
-------
Station ID
M4-586-FIF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Performance (Pass/Fail)
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
Not Noted
Date/No Time
Not Noted
Date/No Time
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
Notes are the raw data and the instrument data.
ppb
mm
g
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers [_
X= Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M4-594-FIF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
5-5-99/No Time
06/23/99
07/12/99
X
FS = FI = Fh = Fish
5-5-99/No Time
06/23/99
06/23/99
X
FS = FI = Fh = Fish
5-5-99/No Time
06/23/99
06/23/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
6 Fish
6 Fish
Aliquot
200 - 1000
180.4 (Average of 6)
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
22-30
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
0.0729-0.218
g
Measurement
MB
NA
Yes (MB)
X
No (Goal Only)
No
X
No (Goal Only)
No
X
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG12GF1
0.071
0.0034
<20 RSD
99-100 %R
84 - 97%R
3. 2 ppb and >
0.9998
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (MB)
X
"H"
No
X
No
X
No descriptive narratives were provided by FIU.
Sample for total mercury was digested past holding time.
Holding time goals set for the length and weight measurements are guidelines only, not a hard deadline.
Measurements offish length and weight were measured after holding time goals.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M4-594-FIF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers [_
X= Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
M4-599-FIF
Fish
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
5-6-99/No Time
06/23/99
07/13/99
X
FS = FI = Fh = Fish
5-6-99/No Time
06/23/99
06/23/99
X
FS = FI = Fh = Fish
5-6-99/No Time
06/23/99
06/23/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
200 - 1000
286. 9 (Average of 7)
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
23-35
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
0.116-0.3574
g
Measurement
MB
NA
Yes (MB)
X
No (Goal Only)
No
X
No (Goal Only)
No
X
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG13GF1
1.858
0.0024
<20 RSD
90-97
93 - 102
3. 2 ppb and >
0.9988
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (MB)
X
"H"
No
X
No
X
No descriptive narratives were provided by FIU.
Sample for total mercury was digested past holding time.
Holding time goals set for the length and weight measurements are guidelines only, not a hard deadline.
Measurements offish length and weight were measured after holding time goals.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M4-599-FIF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers \_
X = Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M4-809-FIF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
5-11-99/NoTime
07/06/99
07/13/99
X
FS = FI = Fh = Fish
5-1 1-99/No Time
07/06/99
07/06/99
X
FS = FI = Fh = Fish
5-11-99/NoTime
07/06/99
07/06/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
200 - 500
107.9 (Average of 7)
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
Unable to read raw data
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
0.1553-0.321
g
Measurement
MB
NA
Yes (MB)
X
No (Goal Only)
No
X
No (Goal Only)
No
X
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG13GF1
1.858
0.0024
<20 RSD
90-97
93 - 102
3. 2 ppb and >
0.9988
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (MB)
X
"H"
No
X
No
X
No descriptive narratives were provided by FIU.
Sample for total mercury was digested past holding time.
Holding time goals set for the length and weight measurements are guidelines only, not a hard deadline.
Measurements offish length and weight were measured after holding time goals.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M4-809-FIF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers [_
X= Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
M4-872-FIF
Fish
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
5-8-99/No Time
07/06/99
07/22/99
X
FS = FI = Fh = Fish
5-8-99/No Time
07/06/99
07/06/99
X
FS = FI = Fh = Fish
5-8-99/No Time
07/06/99
07/06/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
164.5 (Average of 7)
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
Unable to read raw data
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
0.0517-0.2128
g
Measurement
MB
NA
No
X
No (Goal Only)
No
X
No (Goal Only)
No
X
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG22GF1
0.658
0.0028
<20 RSD
77 - 92 %R
96-100 %R
3. 2 ppb and >
0.9998
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
No
X
"H"
No
X
No
X
No descriptive narratives were provided by FIU.
Sample for total mercury was digested past holding time.
Holding time goals set for the length and weight measurements are guidelines only, not a hard deadline.
Measurements offish length and weight were measured after holding time goals.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M4-872-FIF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
X
X
Not Noted
Date/No Time
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers \_
X = Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
INTERLABORATORY COMPARISONS
-------
May 1999 Samples
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-------
May 1999 Samples
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x SERC
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-------
May 1999 Samples
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-------
May 1999 Samples
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-------
May 1999 Samples
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-------
May 1999 Samples
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-------
May 1999 Samples
500
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Lab
o SERC
x SESD
-------
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-------
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-------
EVERGLADES ECOSYSTEM ASSESSMENT
(PHASE II REMAP)
Data Review
September 1999 Sampling
-------
Data Review, September 1999 Sampling
Fore ward
The data review documents developed by the US Environmental Protection Agency (EPA) as
part of the Investigation of Mercury Contamination in the Florida Everglades Ecosystem and
Everglades Ecosystem Assessment (Phase II REMAP) Project are presented in the Data Review
May 1999 (M4) and September 1999 Sampling (M5) documents.
The Phase II data review determines whether the Data Quality Objectives (DQO) have been
satisfied as outlined in the Quality Assurance Project Plan (QAPP). The M4 and M5 Sampling
results were analyzed to determine whether they met the criteria developed during the planning
phase and whether the total error within the tolerable decision error ranges as specified in the
QAPP to support decisions.
The Data Review, September 1999 Sampling document summarizes the assessments of the
critical and non-critical parameters. Ten percent of the samples were randomly selected during
the validation process to characterize the quality of the data set. Three of the eleven critical
parameters are qualified with a "J". Parameters associated with this qualifier should be
considered an estimate for a number of quality control variances. The results for methylmercury
in surface water, methylmercury and in soil and bulk density in soil should be considered an
estimate based on findings. A table summarizing the critical and non-critical parameters is
enclosed in the Data Review document along with the detailed calculations and criteria for each
selected sample and parameter.
-------
TABLE OF CONTENTS
1. Critical QA/QC Summaries
la. SERC
Ib. Battelle
2. Non-Critical QA/QC Summaries
2a. SERC
2b. Battelle
3. Critical QA/QC Review
3 a. Water-SERC
3b. Water - Battelle
3c. Soil - SERC
3d. Fish - SERC
4. Interlaboratory Comparisons
-------
CRITICAL QA/QC SUMMARIES
-------
EPA SESD South Florida Phase II Wet Season Sampling: September 1999
Summarized Qualifiers for 10% of the Critical Parameters Reviewed
Station ID
M5-622
M5-633
M5-643
M5-653
M5-663
M5-673
M5-683
M5-693
M5-703
M5-714
M5-726
M5-738
M5-828
M5-944
M5-656
M5-661
M5-672
M5-684
M5-712
M5-823
M5-920
Qualifier
Notation
Surface Water
SERC Laboratory
Total Phosphorus
»**»
»**»
»**»
»**»
»**»
"B(NR)"
"B(NR)"
"B(NR)M
"B(NR)"
"B(NR)M
»**»
»**»
»**»
»**»
Total Nitrogen
»**»
»**»
»**»
»**»
»**»
»**»
»**»
»**»
»**»
»**»
»**»
»**»
»**»
»**»>»M"
TOG
"H"
"H"
"H"
"H"
Total Mercury
"M"
Battelle Lab
Methyl Mercury
11 M"
11 M"
"M", "DQO"
"M", "DQO"
"M"
11 M"
11 M"
"M"
"M", "DQO"
"J"
Soil/ Sediment
SERC Laboratory
Methyl Mercury
11 M"
11 M"
"DQO CNR)"
"M"
"M", "DQO"
"M", "DQO"
"M", "DQO"
"M", "DQO"
"M"
"DQO"
"DQO CNR)", "M"
"M", "DQO"
"J"
Total Phosphorus
"B CNR)"
"B CNR)"
"B (NR)"
"B (NR)"
"B (NR)"
"B (NR)"
"B (NR)"
"B (NR)"
"B (NR)"
"B (NR)"
"B (NR)"
"B (NR)"
"B (NR)"
"B (NR)"
AFDW
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
Bulk Density
"DQO (NR)"
"DQO (NR)"
"DQO CNR)"
"DQO (NR)"
"DQO (NR)"
"DQO CNR)"
"DQO CNR)"
"DQO (NR)"
"DQO (NR)"
"DQO CNR)"
"DQO CNR)"
"DQO (NR)"
"DQO (NR)"
"DQO (NR)"
"J", "***"
Fish
SERC Laboratory
Total Mercury
11 M"
Length/Weight
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Obj ective/QAPP control limits.
" *" The matrix recoveries were below QAPP QA limits. MeHg matrix spikes are run with every sample and the sample is adjusted based on matrix affects.
" **" Blanks were reported above the MDL. Lab water was used as the blank water but not in the sample digestion process.
" ***" Phase II soil/sediment samples were prepped with a high speed blender which may alter comparability with the phase I bulk density values.
Comments:
The coefficient of variance (R2) values for methyl mercury were not reviewed.
-------
SERC
-------
EPA SESD South Florida Phase II Wet Season Sampling: September 1999
Summarized Findings of the Full QA/QC Review
Total Mercury in Surface Water Analyzed By SERC
Sample ID by QC
Batch
M5-622-SWF
M5-633-SWF
M5-643-SWF
M5-653-SWF
M5-663-SWF
M5-673-SWF
M5-683-SWF
M5-693-SWF
M5-703-SWF
M5-714-SWF
M5-726-SWF
M5-738-SWF
M5-828-SWF
M5-944-SWF
a
M A
* 'S o -g
1 1 T! ill*!
S5"g ^ •- (S 5 I -3
i H i H i i i
I ! i H H i ! 1
SoSuSuu£^^
S~
2;
v
P
S
s
tJ
#
tential Matrix El
£
X
Footnotes:
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Wet Season Sampling: September 1999
Summarized Findings of the Full QA/QC Review
Total Mercury in Fish Analyzed By SERC
Sample ID by QC
Batch
M5-622-FIF
M5-633-FIF
M5-643-FIF
M5-653-FIF
M5-663-FIF
M5-673-FIF
M5-683-FIF
M5-693-FIF
M5-703-FIF
M5-714-FIF
M5-726-FIF
M5-738-FIF
M5-828-FIF
M5-944-FIF
u
"8
M
1
ot Reviewed
Z
Oi
•—
03
X
"E
1
•?
•fk Not Note
J5
u
^»
'S
S
o
1
I 1 1
x | "*
.— A
| £ s
•— Ci 3
M ° Ci
a Z 7|
S > a
^ u 5
a u M
***
***
***
***
***
***
***
***
***
***
i
" 1
1 1 1 1 1
£ a* ^ "5 *
5 | 1 (2 1
a, "2 £" ^
'S »i u C* "
= ^ g 1 ^
fc c 1 ° «
O C5 ti O O
U U PH Z Z
?
Z
^
"
3
C5
x Effect (Da
•s
'S
S
c
1
X
Footnotes:
" *** " Holding time goal only.
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Wet Season Sampling: September 1999
Summarized Findings of the Full QA/QC Review
Total Phosphorus in Surface Water Analyzed By SERC
^
«
1 „
! 1
1 !
i i
a o
5" -g
Sample ID by QC '5 a
Batch 1 |
M5-622-SWF
M5-633-SWF
M5-643-SWF
M5-653-SWF
M5-663-SWF
M5-673-SWF
M5-683-SWF
M5-693-SWF
M5-703-SWF
M5-714-SWF
M5-726-SWF
M5-738-SWF
M5-828-SWF
M5-944-SWF
„ -s
•e iJ 1
o» O >
a* ^ n &
x 1 S £
td £ f^ -w
| | 1 1
g° I (2 5
i h 1 e
o U « o
M U CQ U
***
***
***
***
***
NR
NR
NR
NR
NR
***
***
***
***
1
sc x
1 | |
| | „ M §
u -*^ S. S w
1 ! 1 1 1
^ 'S a .§ .a
t " 1 a ^
1 -i 1 1 1
g "8 O M S
« i o o "S
o £ z z £
Footnotes:
" *** " Blanks were reported above the MDL. Lab water was used as the blank water but not in the sample digestion process.
Procedures have been modified to correct this.
"NR" Data was not available for review.
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Wet Season Sampling: September 1999
Summarized Findings of the Full QA/QC Review
Total Nitrogen in Surface Water Analyzed By SERC
Sample ID by QC
Batch
M5-622-SWF
M5-633-SWF
M5-643-SWF
M5-653-SWF
M5-663-SWF
M5-673-SWF
M5-683-SWF
M5-693-SWF
M5-703-SWF
M5-714-SWF
M5-726-SWF
M5-738-SWF
M5-828-SWF
M5-944-SWF
j~
_W
ffl £
j_ U
1 1 1-1
1 2 'S 1 1 ^ 1 a
™ o -o J £ .3 « £ •=
(2 ^ £ -o Q ™ Z •- "S
*--*S£«c§a«£!£
£ ^W g«53'S^.2i
Zi™.= AoS»io,i>
jul£sz|-=|(2
IS-H^ iil^^l
*e M = ar^« o a a
aw cz^='l a a
i«2>c {• g~OM
L2«oU^o«^oo
goauMuupnZz
***
***
***
***
***
***
***
***
***
***
***
***
***
x ***
?
z
£.
D
«
"S
s
u
u
to
td
X
T
"8
13
c
0>
1
X
Comments:
1. Blanks were not reviewed in this data set.
Footnotes:
" *** " Blanks were reported above the MDL. Lab water was used as the blank water but not in the sample digestion process
Procedures have been modified to correct this.
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Wet Season Sampling: September 1999
Summarized Findings of the Full QA/QC Review
Total Organic Carbon in Surface Water Analyzed By SERC
Sample ID by QC
Batch
M5-622-SWF
M5-633-SWF
M5-643-SWF
M5-653-SWF
M5-663-SWF
M5-673-SWF
M5-683-SWF
M5-693-SWF
M5-703-SWF
M5-714-SWF
M5-726-SWF
M5-738-SWF
M5-828-SWF
M5-944-SWF
1 j
£ -a 5
11 * a
1 * ' ^ ! i
*i >- "S Q '£ ^
* * g I 1 ! S
O U X g "3
°* U a ^ ** Z £
•— ^4 ••• CC 3 (^ S"
& *• fcn * w A!
X td C Z ^ "o
'S « 5 > a fc I
,3 'S "3 U 2 a a
S O W U M U U
J=
£
•! | =
z •- "°
T. t £
'Z o£ &
S x '>
'S Q?
U (2 „
1 s. 1
.i = —
£00
PH Z Z
X
X
X
X
"o
L.
rix Effect (Data T
«
g
Potential
Comments:
1. The laboratory comparisons that were performed did show a bias between the two laboratories.
The two laboratories are using two separate but approved EPA methods and instruments for the
TOC analysis. This comparative difference may be cause by the methodology difference.
Footnotes:
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Wet Season Sampling: September 1999
Summarized Findings of the Full QA/QC Review
Total Phosphorus in Soil Analyzed By SERC
Sample ID by QC
Batch
M5-622-SDF
M5-643-SDF
M5-663-SDF
M5-633-SDF
M5-653-SDF
M5-738-SDF
M5-673-SDF
M5-683-SDF
M5-693-SDF
M5-703-SDF
M5-714-SDF
M5-726-SDF
M5-828-SDF
M5-944-SDF
x
09 g
^ ,O S
1 5 'S u
1*1, * 1
5 ^ & 5s
I H 1 i I I 1
I ! i l M i
-C ft 1« H ^ S^ 4*V
^X2M|(S5S
C.gw SZS^
"Ssl^'S^i
i;,5«oU,3o«
pH^QSUnUO
*
*
*
*
*
*
*
*
*
*
*
*
*
*
Precision Criteria Not Met
No Dups/Reps Reviewed
No Blanks Reviewed in Batch
X
X
X
X
X
X
X
X
X
X
X
X
X
X
1
X
Potential Matrix Effect (Data I
Comments:
1. No blank results were reviewed.
Footnotes:
" * " Holding time goal only.
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Wet Season Sampling: September 1999
Summarized Findings of the Full QA/QC Review
Soil Ash-Free Dry Weight Analyzed By SERC
Sample ID by QC
Batch
M5-622-SDF
M5-633-SDF
M5-643-SDF
M5-653-SDF
M5-663-SDF
M5-673-SDF
M5-683-SDF
M5-693-SDF
M5-703-SDF
M5-714-SDF
M5-726-SDF
M5-738-SDF
M5-828-SDF
M5-944-SDF
_
W
«
M
l|i
g 1 1
s I z
3 ~ S
| (S *
" ™ •*
0 ° gi
z z £
I I £
S * c
L x td
s 5 *
£ M "^
PH 2 O
i
u
•o s 2
1 ^ ! i |
S -D S 1 ^ Z
i ** ^ ^ ^ S
1 1 1 1 I 1
M J (2 u 5 §
i > 1 t I 1
O U ^ O C5 £
a u M u u PH
-=
, 1
| .S
o> -8
"5 ^
£ r
a .1
x >
a. 3
« a
¥ S
1 a
a 5
o o
Z Z
X
X
X
X
X
X
X
X
X
X
X
X
X
X
s"
0
Z
£.
aj
s
«
s
u
SB
t*J
X
"S
S
"c3
c
1
Footnotes:
" X " Indicates this situation did occur.
-------
EPA SESD South Florida Phase II Wet Season Sampling: September 1999
Summarized Findings of the Full QA/QC Review
Soil Bulk Density Analyzed By SERC
Sample ID by QC
Batch
M5-622-SDF
M5-633-SDF
M5-643-SDF
M5-653-SDF
M5-663-SDF
M5-673-SDF
M5-683-SDF
M5-693-SDF
M5-703-SDF
M5-714-SDF
M5-726-SDF
M5-738-SDF
M5-828-SDF
M5-944-SDF
_
W
«
M
l|i
g 1 1
s I z
3 ~ S
| (S *
" ™ •*
o ° 8
1 I !
! H |
S 'S a
£ M "^
PH g O
J
u
•o s 2
1 ^ ! i |
S -D S 1 ^ Z
i ** ^ ^ ^ S
1 1 I 1 1 1
H ^ « 'S 1" U
" I (2 (J 5 |
•3 > "c •• | '1
"3 u 5 o 1 £
a u M u u PH
1
—
1
£4
Q.
^
1
a
o
NR
NR
NR
NR
NR
NR
NR
NR
NR
NR
NR
NR
NR
U
1
C
"9
o>
f
.S
1
j
c
s
o
1?
0
Z
i.
Oi
s
«
S
u
SB
t*J
X
tial Matri
c
1
Footnotes:
"NR" Not Reviewed
" X " Indicates this situation did occur.
-------
Battelle
-------
EPA SESD South Florida Phase II Wet Season Sampling: September 1999
Summarized Findings of the Full QA/QC Review
Methylmercury in Surface Water Analyzed By Battelle Laboratory
Sample ID by QC
Batch
M5-622-SWB
M5-633-SWB
M5-643-SWB
M5-656-SWB
M5-661-SWB
M5-672-SWB
M5-684-SWB
M5-693-SWB
M5-703-SWB
M5-712-SWB
M5-726-SWB
M5-738-SWB
M5-823-SWB
M5-920-SWB
1
M A
* •s "I
111 1 i i ! 5
CC] a* "O n S a* ^ °^ "
H U I i i i I
! I i i J 1 1 I I 1
^ i s > 1 t ll oo
X
X
X
I
V
p
Potential Matrix Effect (Data
X
X
X
X
X
X
X
X
X
Footnotes:
" X " Indicates this situation did occur.
-------
NON-CRITICAL QA/QC SUMMARIES
-------
SERC
-------
Non-Critical Parameters Analyzed by SERC
Review of the September, 1999 (M5) Data Set
Analysis
NH4
NO2
NO3
PO4
CH4
C02
APA
Mineral Content
Diatoms
Pigments
Chlorophyll a
Ethyl Mercury
Supporting Documentation
a
S
a
0
's1
PH
1
X
X
X
X
X
X
X
X
X
**
**
**
•g
(J,
C3
PH
a
5
X
X
X
X
X
X
X
X
X
**
**
**
Laboratory Records
a
0
8
!>
o
Calibrati
X
X
X
X
X
X
NR
NA
X
**
**
**
g
H
Q
a
,0
w
bo
'w
t
X
X
X
X
X
X
X
X
X
**
**
**
T3
N
<
S£
Paramete
X
X
X
X
X
X
X
X
X
**
**
**
13
rg
'a
CO
X
X
X
X
NR
NR
NR
NA
NR
**
**
**
T3
s
3
«
1
f
Q
X
X
X
X
X
X
X
X
NR
**
**
**
So
0
0
c
a
S
C3
s
Instrume
X
X
X
X
X
X
X
X
NR
**
**
**
bo
o
^o
S
CO
1
m
X
X
X
X
X
X
X
X
NR
**
**
**
bo
S
X
X
X
X
X
X
X
X
NR
**
**
**
$
"§
S
S
o
o
y
1
CO
X
X
X
X
NR
NR
NR
X
NR
**
**
**
•.§
§
C3
t5
1
Performc
X
X
X
NR
NR
NR
NR
NR
NR
**
**
**
Footnotes:
" * " Analyses are in the process of being analyzed.
" ** " No analyses required.
"NR" Not Reviewed
" NA " Not Applicable
" X " Indicates this situation did occur.
-------
Battelle
-------
Non-Critical Parameters Analyzed by Battelle Laboratories
Review of the September, 1999 (M5) Data Set
Analysis
Total Mercury (water)
Methylmercury (soil)
Methylmercury (floe)
Methylmercury (periphyton)
Supporting Documentation
a
PH
-^
a
o
Q'
PH
O
X
X
X
X
•§
3
PH
"§
s
a
o
o
a
1
CO
NR
NR
NR
NR
01
0
§
>
W
o
g
1
NR
NR
NR
NR
Footnotes:
"NR" Not Reviewed
" X " Indicates this situation did occur.
-------
CRITICAL QA/QC REVIEW
-------
Water - SERC
-------
10 % Recalculated Results for Total Phosphorus in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-4-00
Checked by njs 4-13-00
Sample
M5-622-SWF
M5-633-SWF
M5-643-SWF
M5-653-SWF
M5-663-SWF
Sample
MS
MS
UMS
UMS
CCV
CCV
CCV
CCV
CCV
CCV
CCV
M632
M632D
M642
M642D
M652
M652D
M662
M662D
Digestion Blk
Digestion Blk
QC Batch
EPA 1027 A
EPA1027A
EPA1027A
EPA 1027 A
EPA 1027 A
QC Batch
EPA 1027 A
EPA1027A
EPA1027A
EPA 1027 A
EPA 1027 A
EPA1027A
EPA1027A
EPA 1027 A
EPA 1027 A
EPA1027A
EPA1027A
EPA 1027 A
EPA 1027 A
EPA1027A
EPA1027A
EPA 1027 A
EPA 1027 A
EPA1027A
EPA1027A
EPA 1027 A
EPA 1027 A
Qualifier
Note
Qualifier
Note
"B"
"B"
Dilution
1
1
1
1
1
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Rep
um
0.220441
0.922642
1.001121
2.309137
0.182714
Rep
um
1.732597
1.78027
0.535236
0.550322
1.444091
1.482448
1.502425
1.500608
1.528572
1.52873
1.469296
1.004262
1.016345
3.067382
2.946699
0.16731
0.191554
0.193647
0.178326
0.08028
0.073422
Base Line
Factor
um
-0.07
-0.07
-0.07
-0.07
-0.07
Base Line
Factor
um
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
Peak-
Base Line
um
0.290441
0.992642
1.071121
2.379137
0.252714
Peak-
Base Line
um
1.803
1.850
0.605
0.620
1.552
1.572
1.571
1.599
1.599
1.539
1.074
1.086
1.086
3.137
3.017
0.237
0.262
0.264
0.248
0.150
0.143
MW
g
31
31
31
31
31
MW
g
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
Corrected
Peak
'MW
9.003671
30.771902
33.204751
73.753247
7.834134
Corrected
Peak
'MW
55.88
57.36
18.76
19.23
48.13
48.75
48.69
49.56
49.56
47.72
33.30
33.68
33.68
97.26
93.52
7.36
8.11
8.17
7.70
4.66
4.45
Sample
Results
ppm
0.0090
0.031
0.033
0.074
0.0078
Sample
Results
ppm
0.05588
0.05736
0.01876
0.01923
0.04813
0.04875
0.04869
0.04956
0.04956
0.04772
0.03330
0.03368
0.03368
0.09726
0.09352
0.00736
0.00811
0.00817
0.00770
0.00466
0.00445
Detection
Limit
ppm
0.0006
0.0006
0.0006
0.0006
0.0006
Detection
Limit'3
ppm
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
SPK
CONC
(ppm)
0.04092
0.04092
0.05
0.05
0.05
0.05
0.05
0.05
0.05
R%
90.7
93.2
96.25
97.49
97.38
99.11
99.12
95.44
66.60
RPD
-2.610
-2.462
0.000
3.922
-9.720
5.985
-------
10 % Recalculated Results for Total Phosphorus in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-4-00
Checked by njs 4-13-00
Sample
M5-673-SWF
M5-683-SWF
M5-693-SWF
M5-703-SWF
M5-714-SWF
Sample
MS
MS
UMS
UMS
CCV
CCV
CCV
CCV
CCV
CCV
CCV
Digestion Blk
Digestion Blk
QC Batch
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
QC Batch
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
Qualifier
Note
Qualifier
Note
Not Reported
Not Reported
Dilution
1
1
1
1
1
Dilution
1
1
1
1
1
1
1
1
1
1
1
Rep
um
0.199175
0.115462
0.119933
0.111397
0.089338
Rep
um
1.787068
1.88099
0.591248
0.402878
1.432253
1.482066
1.43088
1.482898
1.430812
1.474779
1.441135
Base Line
Factor
um
-0.06
-0.06
-0.06
-0.06
-0.06
Base Line
Factor
um
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
Peak-
Base Line
um
0.259175
0.175462
0.179933
0.171397
0.149338
Peak-
Base Line
um
1.847
1.941
0.651
0.463
1.492
1.542
1.491
1.543
1.491
1.535
1.501
MW
g
31
31
31
31
31
MW
g
31
31
31
31
31
31
31
31
31
31
31
Corrected
Peak
'MW
8.034425
5.439322
5.577923
5.313307
4.629478
Corrected
Peak
'MW
57.26
60.17
20.19
14.35
46.26
47.80
46.22
47.83
46.22
47.58
46.54
Sample
Results
ppm
0.0080
0.0054
0.0056
0.0053
0.0046
Sample
Results
ppm
0.05726
0.06017
0.02019
0.01435
0.04626
0.04780
0.04622
0.04783
0.04622
0.04758
0.04654
Detection
Limit
ppm
0.0006
0.0006
0.0006
0.0006
0.0006
Detection
Limit'3
ppm
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
SPK
CONC
(ppm)
0.04092
0.04092
0.05
0.05
0.05
0.05
0.05
0.05
0.05
R%
90.6
112.0
92.52
95.61
92.43
95.66
92.43
95.16
93.07
RPD
-4.959
33.815
Sample
M5-726-SWF
M5-738-SWF
M5-828-SWF
M5-944-SWF
Sample
MS
MS
UMS
UMS
CCV
CCV
CCV
CCV
CCV
Digestion Blk
Digestion Blk
QC Batch
EPA1027C
EPA1027C
EPA1027C
EPA1027C
QC Batch
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
Qualifier
Note
Qualifier
Note
"B"
"B"
Dilution
1
1
1
1
Dilution
1
1
1
1
1
1
1
1
1
1
1
Rep
um
0.093085
0.092087
0.199503
0.108243
Rep
um
1.696953
1.848965
0.582121
0.504826
1.461504
1.387512
1.437132
1.462591
1.432883
0.06032
0.065028
Base Line
Factor
um
-0.07
-0.07
-0.07
-0.07
Base Line
Factor
um
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
Peak-
Base Line
um
0.163
0.162
0.270
0.178
Peak-
Base Line
um
1.767
1.919
0.652
0.575
1.532
1.458
1.507
1.533
1.503
0.130
0.135
MW
g
31
31
31
31
MW
g
31
31
31
31
31
31
31
31
31
31
31
Corrected
Peak
'MW
5.055635
5.024697
8.354593
5.525533
Corrected
Peak
*MW
54.78
59.49
20.22
17.82
47.48
45.18
46.72
47.51
46.59
4.04
4.19
Sample
Results
ppm
0.005
0.005
0.008
0.006
Sample
Results
ppm
0.05478
0.05949
0.02022
0.01782
0.04748
0.04518
0.04672
0.04751
0.04659
0.00404
0.00419
Detection
Limit
ppm
0.0006
0.0006
0.0006
0.0006
Detection
Limit'3
ppm
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
0.0018
SPK
CONC
(ppm)
0.04092
0.04092
0.05
0.05
0.05
0.05
0.05
R%
84.5
101.8
94.95
90.37
93.44
95.02
93.18
RPD
-8.248
12.600
-------
SERC Lab / EPA REMAP results
Total Phosphorus (TP) in Water by EPA Method 365.1 (modified)
: Analysis not performed
: Analysis not required
: Average of Two
Data Entered by: njs 03-22-00
Data Entry Checked by:mwb 03-28-00
Sampling Station
ID
M5-622-SWF
M5-623-SWF
M5-624-SWF
M5-625-SWF
M5-626-SWF
M5-627-SWF
M5-628-SWF
M5-630-SWF
M5-631-SWF
M5-632-SWF
M5-633-SWF
M5-634-SWF
M5-635-SWF
M5-636-SWF
M5-637-SWF
M5-638-SWF
M5-639-SWF
M5-640-SWF
M5-641-SWF
M5-642-SWF
M5-643-SWF
M5-644-SWF
M5-645-SWF
M5-646-SWF
M5-647-SWF
M5-648-SWF
M5-649-SWF
M5-650-SWF
M5-651-SWF
M5-652-SWF
M5-653-SWF
M5-654-SWF
M5-655-SWF
M5-656-SWF
M5-657-SWF
M5-658-SWF
M5-659-SWF
M5-660-SWF
M5-661-SWF
M5-662-SWF
M5-663-SWF
Matrix
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
Collection
Date
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/29/99
09/28/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/28/99
09/29/99
09/28/99
09/29/99
09/29/99
09/30/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/27/99
09/28/99
09/27/99
09/27/99
09/29/99
09/27/99
09/27/99
Time
1125
915
1018
1257
908
1050
1716
1520
1414
1010
1115
1510
1216
1405
1210
1630
1715
1116
1615
1011
910
1145
1447
1515
1102
1300
1620
1158
1410
959
1300
1145
1028
900
1751
1722
1205
1450
857
1610
1330
Digestion
Date
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
Run
Date
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
Time Elapsed
From Dig
8
8
8
8
8
8
9
10
9
9
9
9
9
9
9
9
10
9
10
9
9
8
10
10
10
10
10
10
10
10
10
10
10
10
11
10
11
11
9
11
11
Holding
Time (Days)
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
uM Instrument
Reading
0.220441
0.324684
0.173010
0.196394
0.191195
0.417754
0.221019
0.228900
0.243414
1.010300
0.922642
0.241825
0.240206
0.207492
0.284648
0.227518
1.362922
0.410096
0.398678
3.007040
1.001121
0.236817
0.924768
0.440584
0.348737
0.265804
0.222554
0.126759
0.381606
0.179430
2.309137
0.296783
2.465914
0.254429
0.432250
0.242427
0.215606
0.842130
0.186499
0.185990
0.182714
Blank
Correction
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
Corrected
uM Reading
0.290441
0.394684
0.243010
0.266394
0.261195
0.487754
0.291019
0.298900
0.313414
1.080300
0.992642
0.311825
0.310206
0.277492
0.354648
0.297518
1.432922
0.480096
0.468678
3.077040
1.071121
0.306817
0.994768
0.510584
0.418737
0.335804
0.292554
0.196759
0.451606
0.249430
2.379137
0.366783
2.535914
0.324429
0.502250
0.312427
0.285606
0.912130
0.256499
0.255990
0.252714
Phosphorus
Units (ppm, ug/g)
0.0090
0.012
0.0075
0.0083
0.0081
0.015
0.0090
0.0093
0.0097
0.033
0.031
0.0097
0.0096
0.009
0.011
0.0092
0.044
0.015
0.015
0.095
0.0332
0.0095
0.031
0.016
0.013
0.010
0.0091
0.0061
0.014
0.0077
0.074
0.011
0.079
0.0101
0.0156
0.0097
0.0089
0.028
0.0080
0.0079
0.0078
Detection
Limit (ppm)
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
QA/QC
Batch ID
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
QA Data
%R
83
83
83
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
%RPD
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
Matrix %R
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
Sample RPD
-1.2
4.01
-13.5
-3.8
Notes
Averaged Result
Averaged Result
Averaged Result
Averaged Result
-------
Sampling Station
ID
M5-664-SWF
M5-665-SWF
M5-666-SWF
M5-667-SWF
M5-668-SWF
M5-669-SWF
M5-670-SWF
M5-671-SWF
M5-672-SWF
M5-673-SWF
M5-674-SWF
M5-675-SWF
M5-676-SWF
M5-677-SWF
M5-678-SWF
M5-679-SWF
M5-680-SWF
M5-681-SWF
M5-682-SWF
M5-683-SWF
M5-684-SWF
M5-685-SWF
M5-686-SWF
M5-687-SWF
M5-688-SWF
M5-689-SWF
M5-690-SWF
M5-691-SWF
M5-692-SWF
M5-693-SWF
M5-694-SWF
M5-695-SWF
M5-696-SWF
M5-697-SWF
M5-698-SWF
M5-699-SWF
M5-700-SWF
M5-701-SWF
M5-702-SWF
M5-703-SWF
M5-704-SWF
M5-705-SWF
M5-706-SWF
M5-707-SWF
M5-708-SWF
Matrix
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
Collection
Date
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/26/99
09/27/99
09/27/99
09/26/99
09/26/99
09/28/99
09/26/99
09/26/99
09/26/99
09/27/99
09/26/99
09/26/99
09/26/99
09/26/99
09/26/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
09/26/99
09/25/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
Time
1100
1710
1655
1545
1207
1000
850
850
1100
1400
1025
1130
925
1310
1213
1335
900
1410
1615
850
1530
1434
915
1035
1527
1205
1350
1554
1200
1139
1702
1400
1510
1637
1030
1635
1750
1740
918
1655
1615
1725
1555
1500
900
Digestion
Date
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
Run
Date
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
Time Elapsed
From Dig
11
11
11
11
11
11
11
12
11
11
12
12
10
12
12
12
11
12
12
12
12
12
13
13
12
13
13
13
13
13
13
13
13
12
13
13
13
12
13
14
14
14
14
14
14
Holding
Time (Days)
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
uM Instrument
Reading
0.220172
0.142434
0.187586
0.247630
0.195497
0.172297
0.127174
0.130301
0.155700
0.199175
0.140264
0.163569
0.225253
0.195496
0.187692
0.162378
0.137051
0.118766
0.099750
0.115462
0.107606
0.127229
0.177588
0.170491
0.114608
0.100074
0.094508
0.107701
0.149260
0.119933
0.105080
0.095180
0.099830
0.141901
0.101514
0.101414
0.093274
0.108139
0.083187
0.111397
0.113856
0.130517
0.089133
0.152922
0.108196
Blank
Correction
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
Corrected
uM Reading
0.290172
0.212434
0.257586
0.317630
0.265497
0.242297
0.197174
0.200301
0.215700
0.259175
0.200264
0.223569
0.285253
0.255496
0.247692
0.222378
0.197051
0.178766
0.159750
0.175462
0.167606
0.187229
0.237588
0.230491
0.174608
0.160074
0.154508
0.167701
0.209260
0.179933
0.165080
0.155180
0.159830
0.201901
0.161514
0.161414
0.153274
0.168139
0.143187
0.171397
0.173856
0.190517
0.149133
0.212922
0.168196
Phosphorus
Units (ppm, ug/g)
0.0090
0.0066
0.0080
0.0098
0.0082
0.0075
0.0061
0.0062
0.0067
0.0080
0.0062
0.0069
0.0088
0.0079
0.0077
0.0069
0.0061
0.0055
0.0050
0.0054
0.0052
0.0058
0.0074
0.0071
0.0054
0.0050
0.0048
0.0052
0.0065
0.0056
0.0051
0.0048
0.0050
0.0063
0.0050
0.0050
0.0048
0.0052
0.0044
0.0053
0.0054
0.0059
0.0046
0.0066
0.0052
Detection
Limit (ppm)
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
QA/QC
Batch ID
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027A
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
QA Data
%R
83
83
83
83
83
83
83
83
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
%RPD
2.7
2.7
2.7
2.7
2.7
2.7
2.7
2.7
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
Matrix %R
97.1
97.1
97.1
97.1
97.1
97.1
97.1
97.1
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
107
Sample RPD
-14.1
7.84
6.4
Notes
Averaged Result
Averaged Result
Averaged Result
-------
Sampling Station
ID
M5-709-SWF
M5-710-SWF
M5-711-SWF
M5-712-SWF
M5-714-SWF
M5-715-SWF
M5-716-SWF
M5-718-SWF
M5-719-SWF
M5-720-SWF
M5-722-SWF
M5-723-SWF
M5-724-SWF
M5-725-SWF
M5-726-SWF
M5-727-SWF
M5-728-SWF
M5-729-SWF
M5-730-SWF
M5-731-SWF
M5-732-SWF
M5-733-SWF
M5-734-SWF
M5-735-SWF
M5-738-SWF
M5-740-SWF
M5-741-SWF
M5-742-SWF
M5-743-SWF
M5-744-SWF
M5-745-SWF
M5-746-SWF
M5-747-SWF
M5-823-SWF
M5-828-SWF
M5-838-SWF
M5-848-SWF
M5-859-SWF
M5-868-SWF
M5-878-SWF
M5-890-SWF
M5-908-SWF
M5-920-SWF
M5-932-SWF
M5-944-SWF
Matrix
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
Collection
Date
09/24/99
09/24/99
09/24/99
09/24/99
09/23/99
09/24/99
09/24/99
09/24/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/22/99
09/23/99
09/23/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/30/99
09/29/99
09/29/99
09/28/99
09/27/99
09/27/99
09/26/99
09/25/99
09/24/99
09/23/99
09/23/99
09/22/99
Time
1330
1430
1115
905
1715
1145
1310
1030
1715
0
1600
1500
1442
1323
1230
1216
1350
1027
1120
1725
917
910
1540
1700
1410
1245
1534
1418
1130
1224
1120
948
942
0
0
0
0
0
0
0
0
0
0
0
1224
Digestion
Date
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
12/09/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
Run
Date
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
12/21/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
10/27/99
Time Elapsed
From Dig
14
14
14
14
15
14
14
14
15
15
15
15
15
15
15
15
15
15
15
16
77
15
16
16
16
16
16
16
16
16
16
16
16
8
9
9
10
11
11
12
13
14
15
15
16
Holding
Time (Days)
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
uM Instrument
Reading
0.125360
0.092072
0.122320
0.084478
0.089338
0.072499
0.087589
0.086011
0.103145
0.088199
0.084810
0.083362
0.098319
0.088023
0.093085
0.087421
0.117803
0.095400
0.119505
0.080596
-0.019733
0.125068
0.115092
0.116421
0.092087
0.107290
0.107995
0.085193
0.062130
0.061631
0.084750
0.103167
0.131585
0.257252
0.199503
0.230777
0.282932
0.207392
0.202190
0.161276
0.101030
0.105677
0.089756
0.098859
0.108243
Blank
Correction
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.06
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.02
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
Corrected
uM Reading
0.185360
0.152072
0.182320
0.144478
0.149338
0.132499
0.147589
0.146011
0.163145
0.148199
0.144810
0.143362
0.168319
0.158023
0.163085
0.157421
0.187803
0.165400
0.189505
0.150596
0.000267
0.195068
0.185092
0.186421
0.162087
0.177290
0.177995
0.155193
0.132130
0.131631
0.154750
0.173167
0.201585
0.327252
0.269503
0.300777
0.352932
0.277392
0.272190
0.231276
0.171030
0.175677
0.159756
0.168859
0.178243
Phosphorus
Units (pprn, ug/g)
0.0057
0.0047
0.0057
0.0045
0.0046
0.0041
0.0046
0.0045
0.0051
0.0046
0.0045
0.0044
0.0052
0.0049
0.0051
0.0049
0.0058
0.0051
0.0059
0.0047
ND
0.0060
0.0057
0.0058
0.0050
0.0055
0.0055
0.0048
0.0041
0.0041
0.0048
0.0054
0.0062
0.010
0.0084
0.0093
0.011
0.0086
0.0084
0.0072
0.0053
0.0054
0.0050
0.0052
0.0055
Detection
Limit (ppm)
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
QA/QC
Batch ID
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027B
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
RR1221B
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
EPA1027C
QA Data
%R
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
86.6
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
99.3
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
83.5
%RPD
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
5.
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
4.5
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
8.6
Matrix %R
107
107
107
107
107
107
107
107
107
107
107
107
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
103.5
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
98.4
Sample RPD
8.2
4
1.5
8.3
Notes
Averaged Result
Averaged Result
Sample was RR at Later Date
Averaged Result
Averaged Result
-------
Sampling Station
ID
QA-042-PEF
QA-031-PEF
QA-009-CB1
QA-008-CB1
QA-004-CB1
QA-003-CB2
QA-002-CB1
QA-001-CB2
QA-006-CB2
QA-008-CB2
QA-003-CB1
QA-001-CB1
QA-004-CB1
QA-007-CB2
QA-006-CB1
QA-005-CB2
QA-009-CB1
QA-005-CB1
QA-007-CB1
QA-002-CB2
Matrix
QA
QA
QA
QA
QA
QA
QA
QA
QA
QA
QA
QA
QA
QA
QA
QA
QA
QA
QA
QA
Collection
Date
Time
Digestion
Date
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
Run
Date
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
11/04/99
Time Elapsed
From Dig
36441
36441
36441
36441
36441
36441
36441
36441
36441
36441
36441
36441
36441
36441
36441
36441
36441
36441
36441
36441
Holding
Time (Days)
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
uM Instrument
Reading
4.983843
0.092094
0.037971
0.006699
-0.019526
-0.032538
-0.045807
-0.041997
-0.052202
-0.051369
-0.051713
-0.049857
-0.044320
-0.022949
-0.039655
-0.050702
-0.075141
-0.064787
-0.086683
-0.098451
Blank
Correction
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
-0.05
Corrected
uM Reading
5.033843
0.142094
0.087971
0.056699
0.030474
0.017462
0.004193
0.008003
-0.002202
-0.001369
-0.001713
0.000143
0.005680
0.027051
0.010345
-0.000702
-0.025141
-0.014787
-0.036683
-0.048451
Phosphorus
Units (ppm, ug/g)
0.16
0.0044
0.0027
0.0018
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
Detection
Limit (ppm)
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
0.0006
QA/QC
Batch ID
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QAPEF-B
QA Data
%R
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
119.0
%RPD
3.8
3.8
3.8
.8
.8
.8
.8
.8
.8
.8
.8
.8
.8
.8
.8
.8
.8
.8
.8
.8
Matrix %R
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
91.5
Sample RPD
0
0
Notes
Averaged Result
Averaged Result
-------
10 % Recalculated Results for Total Nitrogen in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-4-00
Checked by
njs 4-13-00
Sample
M5-622-SWF
M5-633-SWF
M5-643-SWF
M5-646-SWF
M5-646-SWF-DUP
QC CHECK
FINAL QC CHECK
CALIBRATION(CCV)
UMS
MS
MSD
M5-653-SWF
M5-663-SWF
M5-670-SWF
M5-670-SWF-DUP
QC CHECK
FINAL QC CHECK
CALIBRATION(CCV)
UMS
MS
MSD
M5-673-SWF
M5-683-SWF
M5-693-SWF
M5-694-SWF
M5-694-SWF-DUP
QC CHECK
FINAL QC CHECK
CALIBRATION(CCV)
UMS
MS
MSD
QC
Batch
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK1 1-22-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Repl
uM
343227
511879
413455
467139
357426
560256
511349
599725
224783
427292
447712
441081
248754
132693
138862
493197
530841
488747
159247
360735
357436
124723
86567
175772
196447
211076
531665
537072
513634
154071
378548
381315
Rep 2
uM
318989
844769
343769
462189
384134
560542
689147
617711
235423
426493
441435
467484
125909
178325
184219
494798
479427
486099
157095
357060
357852
130483
111428
183734
178343
218146
499298
509934
516662
148739
373538
382807
Rep 3
uM
341182
318851
349515
411953
609733
545656
NO DATA
597817
201768
439335
445373
454801
130425
189752
190633
503545
500823
480706
153871
352655
375127
142041
157823
152063
188588
211602
501055
517494
504139
140462
385616
417639
Rep 4
uM
532575
190281
486774
129351
518542
155780
Rep 5
uM
505166
200777
481913
143166
506820
137622
Rep 6
uM
516596
195350
488754
169985
533937
140945
Average
Replicates
uM
334466
558500
368913
447094
450431
555485
550967
605084
208064
431040
444840
454455
168363
166923
171238
497180
494755
485184
152119
356817
363472
132416
118606
170523
187793
213608
510673
520633
511478
146270
379234
393920
Blank
Correction
uM
Corrected
Peak
uM
334466
558500
368913
447094
450431
555485
550967
605084
208064
431040
444840
454455
168363
166923
171238
497180
494755
485184
152119
356817
363472
132416
118606
170523
187793
213608
510673
520633
511478
146270
379234
393920
Slope
3.46767E-06
3.46767E-06
3.46767E-06
3.46767E-06
3.46767E-06
3.46767E-06
3.46767E-06
3.46767E-06
3.46767E-06
3.46767E-06
3.46767E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
Average
Replicate
x Slope
1.16
1.94
1.28
1.55
1.56
1.93
1.91
2.10
0.72
1.49
1.54
1.86
0.69
0.68
0.70
2.03
2.02
1.98
0.62
1.46
1.48
0.51
0.46
0.66
0.72
0.82
1.97
2.01
1.97
0.56
1.46
1.52
Dilution
Correction
Sample
Results
ppm
1.16
1.94
1.28
1.55
1.56
1.93
1.91
2.10
0.72
1.49
1.54
1.86
0.69
0.68
0.70
2.03
2.02
1.98
0.62
1.46
1.48
0.51
0.46
0.66
0.72
0.82
1.97
2.01
1.97
0.56
1.46
1.52
Detection
Limit
/3 times (ppm)
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
SPK
CONC
(ppm)
2
2
2
1
1
2
2
2
1
1
2
2
2
1
1
R%
96.31
95.53
104.91
77.32
82.11
101.48
100.98
99.03
83.56
86.28
98.53
100.45
98.69
89.90
95.56
RPD
-0.744
-3.151
-2.552
-1.848
-12.863
-3.799
-------
10 % Recalculated Results for Total Nitrogen in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-4-00
Checked by
njs 4-13-00
Sample
M5-703-SWF
M5-714-SWF
M5-720-SWF
M5-720-SWF-DUP
QC CHECK
FINAL QC CHECK
CALIBRATION (CCV
UMS
MS
MSD
M5-726-SWF
M5-738-SWF
M5-828-SWF
M5-823-SWF
M5-823-SWF-DUP
QC CHECK
FINAL QC CHECK
CALIBRATION (CCV
UMS
MS
MSD
M5-944-SWF
QA-PEF-042
QC CHECK
FINAL QC CHECK
CALIBRATION (CCV
UMS
MS
MSD
QC
Batch
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 11-23-99
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
Qualifier
Note
"H"
"M"
"M"
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Repl
uM
198265
146542
157942
204677
494705
538788
531113
192383
399174
470479
101698
55020
142608
479929
332540
499770
521009
500661
185143
454798
488734
75363
91241
557158
531646
466930
235981
418044
412190
Rep 2
uM
209979
149006
157993
175963
500641
515388
538721
NO DATA
NO DATA
473802
97999
53674
128039
254735
263435
501408
517753
497732
190928
476171
422468
71121
88966
541509
450310
473767
220498
422999
406787
Rep 3
uM
200283
154812
263983
192998
501261
546990
533640
166266
422194
437260
102123
58051
141499
221256
271018
508584
511477
499122
191269
460173
419473
80588
84138
516509
446252
449217
211487
403444
408984
Rep 4
uM
517572
162009
510048
190971
431370
214280
Rep 5
uM
522517
178392
506203
186138
432341
208237
Rep 6
uM
516741
NO DATA
502547
182724
420695
204126
Average
Replicates
uM
202842
150120
193306
191213
498869
526333
534491
174763
410684
460514
100607
55582
137382
318640
288998
503254
511506
499172
187862
463714
443558
75691
88115
538392
452102
463305
215768
414829
409320
Blank
Correction
uM
Corrected
Peak
uM
202842
150120
193306
191213
498869
526333
534491
174763
410684
460514
100607
55582
137382
318640
288998
503254
511506
499172
187862
463714
443558
75691
88115
538392
452102
463305
215768
414829
409320
Slope
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
Average
Replicate
x Slope
0.81
0.60
0.77
0.76
1.99
2.10
2.13
0.70
1.64
1.84
0.40
0.22
0.55
1.27
1.15
2.00
2.03
1.99
0.75
1.84
1.76
0.28
0.33
2.02
1.70
1.74
0.81
1.56
1.54
Dilution
Correction
Sample
Results
ppm
0.81
0.60
0.77
0.76
1.99
2.10
2.13
0.70
1.64
1.84
0.40
0.22
0.55
1.27
1.15
2.00
2.03
1.99
0.75
1.84
1.76
0.28
0.33
2.02
1.70
1.74
0.81
1.56
1.54
Detection
Limit
/3 times (ppm)
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
SPK
CONC
(ppm)
2
2
2
1
1
2
2
2
1
1
2
2
2
1
1
R%
99.47
104.95
106.58
94.09
113.96
100.10
101.74
99.29
109.73
101.72
101.07
84.87
86.98
74.74
72.67
RPD
1.089
-11.439
9.757
4.443
1.337
"M" Analyte ext
"B" Analyte com
"H" Analysis dig
le associated blai
led after holding
sxpired.
-------
Total Nitrogen in Surface Water by Antek 7000N Analyzer
Analyzed by Florida International University (SERC) for the M5 Sampling Event
Entered by P Meyer 3-16-00
Checked by MWB 3-17-99
Sample ID
C bration Std
M -859-SWF
M -868-SWF
M -878-SWF
M -890-SWF
M -908-SWF
M -920-SWF
M -932-SWF
M -944-SWF
QA-PEF-042
Method Elk
QC CHECK
FINAL QC CHECK
CALIBRATION (CCV)
UMS
MS
MSB
Collect! o
Date
09/27/99
09/27/99
09/26/99
09/25/99
09/24/99
09/23/99
09/23/99
09/22/99
09/30/99
n
Time
0
0
0
0
0
1224
Digestion
Date
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
Analysis
Date
02/24/00
02/24/00
02/24/00
02/24/00
02/24/00
02/24/00
02/24/00
02/24/00
02/24/99
02/24/00
02/24/00
02/24/00
02/24/00
02/24/00
02/24/00
Holding
Time
28
28
28
28
28
28
28
28
28
Time since
Digestion
11
11
12
13
14
15
15
16
Batch
ID
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
ANTEK 2-24-00
Dil tion
Rep 1
uM
525701
215269
154271
134538
144939
186405
177019
90343
75363
91241
557158
235981
418044
412190
Rep 2
uM
526548
219742
150371
120681
121187
150770
153909
93132
71121
88966
541509
220498
422999
406787
Rep 3
uM
545812
262595
132374
135089
139085
147939
135265
92001
80588
84138
516509
449217
211487
403444
408984
Rep 4
uM
214280
Rep 5
uM
208237
Rep 6
uM
204126
Average
Replicates
uM
532687
232535
145672
130103
135070
161705
155398
91825
75691
88115
#DIV/0!
538392
452102
463305
215768
414829
409320
Blank
Correction
uM
Corrected
Peak
uM
Slope
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
3.75455E-06
Sample
Results
ppm
2.0
0.87
0.55
0.49
0.51
0.61
0.58
0.34
0.28
0.33
#DIV/0!
2.0
1.70
1.74
0.81
1.56
1.54
Detection
Limit
/3 times (ppm)
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
SPK
CONC
(ppm)
2
2
2
0
1
1
R%
101.1
84.9
87.0
74.7
72.7
RPD
0.702
Notes
Sample ID
Calibration Std
M5-622-SWF
M5-623-SWF
M5-624-SWF
M5-625-SWF
M5-626-SWF
M5-627-SWF
M5-628-SWF
M5-630-SWF
M5 -631 -SWF
M5-632-SWF
M5 -63 3 -SWF
M5-634-SWF
M5 -63 5 -SWF
M5-636-SWF
M5-637-SWF
M5-638-SWF
M5-639-SWF
M5-640-SWF
M5 -641 -SWF
M5-642-SWF
M5 -643 -SWF
M5-644-SWF
M5 -645 -SWF
M5-646-SWF
M5-646-SWF-DUP
M5-647-SWF
QC CHECK
FINAL QC CHECK
CALIBRATION (CCV)
UMS
MS
MSB
Collect™
Date
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/29/99
09/28/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/28/99
09/29/99
09/28/99
09/29/99
09/29/99
09/30/99
09/28/99
09/28/99
09/28/99
09/28/99
n
Time
1125
915
018
257
908
050
716
520
414
010
115
510
216
405
210
630
715
116
615
Oil
910
145
447
515
515
102
Digestion
Date
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
Analysis
Date
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
Holding
Time
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Time since
Digestion
8
8
8
8
8
8
9
10
9
9
9
9
9
9
9
9
10
9
10
9
9
8
10
10
10
10
Batch
ID
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
ANTEK 11-22-99
Dil tion
Rep 1
uM
580137
343227
338124
378167
335255
621794
642521
265927
835842
357200
365165
511879
361473
905949
372070
253943
236881
327237
188703
310685
461827
413455
286634
707285
467139
357426
552856
560256
511349
599725
224783
427292
447712
Rep 2
uM
564196
318989
277642
279081
409948
581728
467336
206367
213832
237339
445994
844769
745377
481772
423498
259897
423609
365156
138353
302740
698305
262451
525432
462189
384134
319623
560542
689147
617711
235423
426493
441435
Rep 3
uM
606086
341182
277333
312097
364416
663964
476298
209182
223102
320197
912951
318851
442938
268626
461376
381327
400616
257248
144729
258700
525778
349515
419779
714747
411953
609733
303044
545656
NO DATA
597817
201768
439335
445373
Rep 4
uM
591585
532575
190281
Rep 5
uM
549470
505166
200777
Rep 6
uM
569066
516596
195350
Average
Replicates
uM
576757
334466
297700
323115
369873
622495
528718
227159
424259
304912
574703
558500
516596
552116
418981
298389
353702
316547
157262
290708
561970
368913
322955
649155
447094
450431
391841
555485
550967
605084
208064
431040
444840
Blank
Correction
uM
Corrected
Peak
uM
Slope
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
3. 6767E-06
Sample
Results
ppm
2.00
1.2
1.0
1.1
1.3
2.2
1.8
0.79
1.5
1.1
2.0
1.9
1.8
1.9
1.5
1.0
1.2
1.1
0.55
1.0
1.9
1.3
1.1
2.3
1.6
1.6
1.4
1.93
1.91
2.10
0.72
1.49
1.54
Detection
Limit
/3 times (ppm)
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
SPK
CONC
(ppm)
2
2
2
0
1
1
R%
96.3
95.5
104.9
77.3
82.1
RPD
0
-1.501
Notes
Averaged Result
-------
Sample ID
Calibration Std
M5-648-SWF
M5-649-SWF
M5-650-SWF
M5 -651 -SWF
M5-652-SWF
M5 -65 3 -SWF
M5-654-SWF
M5 -65 5 -SWF
M5-656-SWF
M5-657-SWF
M5-658-SWF
M5-659-SWF
M5-660-SWF
M5 -661 -SWF
M5-662-SWF
M5-663-SWF
M5-664-SWF
M5-665-SWF
M5-666-SWF
M5-667-SWF
M5-668-SWF
M5-669-SWF
M5-670-SWF
QC CHECK
FINAL QC CHECK
CALIBRATION (CCV)
UMS
MS
MSB
Sample ID
Calibration Std
M5-671-SWF
M5-672-SWF
M5 -6 73 -SWF
M5-674-SWF
M5 -6 75 -SWF
M5-676-SWF
M5-677-SWF
M5-678-SWF
M5-679-SWF
M5-680-SWF
M5 -681 -SWF
M5-682-SWF
M5-683-SWF
M5-684-SWF
M5-685-SWF
M5-686-SWF
M5-687-SWF
M5-688-SWF
M5-689-SWF
M5-690-SWF
M5 -691 -SWF
M5-692-SWF
M5-693-SWF
M5-694-SWF
M5-695-SWF
QC CHECK
FINAL QC CHECK
CALIBRATION (CCV)
UMS
MS
MSB
Collectio
Date
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/27/99
09/28/99
09/27/99
09/27/99
09/29/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
Collect™
Date
09/26/99
09/27/99
09/27/99
09/26/99
09/26/99
09/28/99
09/26/99
09/26/99
09/26/99
09/27/99
09/26/99
09/26/99
09/26/99
09/26/99
09/26/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
n
Time
1300
1620
1158
1410
959
1300
1145
1028
900
1751
1722
1205
1450
857
1610
1330
1100
1710
1655
1545
1207
1000
850
n
Time
850
1100
1400
1025
1130
925
1310
1213
1335
900
1410
1615
850
1530
1434
915
1035
1527
1205
1350
1554
1200
1139
1702
1400
Digestion
Date
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
Digestion
Date
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
Analysis
Date
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
/22/99
Analysis
Date
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
Holding
Time
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Holding
Time
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Time since
Digestion
10
10
10
10
10
10
10
10
10
11
10
11
11
9
11
11
11
11
11
11
11
11
11
Time since
Digestion
2
1
1
2
2
0
2
2
2
1
2
2
2
2
2
3
3
2
3
3
3
3
3
3
3
Batch
ID
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1/22/99
ANTEK 1-22-99
ANTEK 1-22-99
Batch
ID
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Rep 1
uM
506725
195415
190073
202719
232284
164527
441081
232309
401981
158814
257813
197929
235091
256887
245546
161244
248754
192693
166592
120440
113845
119877
170769
132693
493197
530841
488747
159247
360735
357436
Rep 1
uM
500975
159878
104355
124723
125753
152390
231671
262468
174053
171738
129009
155596
125590
86567
108359
105053
151803
196358
129513
251223
141638
117331
94457
175772
196447
179958
531665
537072
513634
154071
378548
381315
Rep 2
uM
491602
170765
228829
226317
229024
136002
467484
212404
387514
118805
259558
226304
224708
250824
166289
168397
125909
231429
175533
133857
134726
109636
200535
178325
494798
479427
486099
157095
357060
357852
Rep 2
uM
497931
145674
101760
130483
124615
159548
120766
204605
90666
174425
209021
177528
149978
111428
135766
121757
169314
157124
92050
250206
122848
85892
100500
183734
178343
187320
499298
509934
516662
148739
373538
382807
Rep 3
uM
469167
661397
177650
210854
210486
145060
454801
253030
381470
125068
318288
309284
225942
209501
183237
168970
130425
227007
163906
161569
142422
125466
198617
189752
503545
500823
480706
153871
352655
375127
Rep 3
uM
509543
155948
95662
142041
122624
133916
105473
136064
99955
130581
139227
200755
155942
157823
230429
119290
211790
191307
96958
271243
116755
97653
115030
152063
188588
196348
501055
517494
504139
140462
385616
417639
Rep 4
uM
491126
486774
129351
Rep 4
uM
607795
518542
155780
Rep 5
uM
491089
481913
143166
Rep 5
uM
492210
506820
137622
Rep 6
uM
489906
488754
169985
Rep 6
uM
501289
533937
140945
Average
Replicates
uM
489936
342526
198851
213297
223931
148530
454455
232581
390322
134229
278553
244506
228580
239071
198357
166204
168363
217043
168677
138622
130331
118326
189974
166923
497180
494755
485184
152119
356817
363472
Average
Replicates
uM
518291
153833
100592
132416
124331
148618
152637
201046
121558
158915
159086
177960
143837
118606
158185
115367
177636
181596
106174
257557
127080
100292
103329
170523
187793
187875
510673
520633
511478
146270
379234
393920
Blank
Correction
uM
Blank
Correction
uM
Corrected
Peak
uM
Corrected
Peak
uM
Slope
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
4.08217E-06
Slope
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
3.85884E-06
Sample
Results
ppm
2.00
1.40
0.81
0.87
0.91
0.61
1.86
0.95
1.59
0.55
1.14
1.00
0.93
0.98
0.81
0.68
0.69
0.89
0.69
0.57
0.53
0.48
0.78
0.69
2.03
2.02
1.98
0.62
1.46
1.48
Sample
Results
ppm
2.00
0.59
0.39
0.51
0.48
0.57
0.59
0.78
0.47
0.61
0.61
0.69
0.56
0.46
0.61
0.45
0.69
0.70
0.41
0.99
0.49
0.39
0.40
0.66
0.77
0.72
1.97
2.01
1.97
0.56
1.46
1.52
Detection
Limit
/3 times (ppm)
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
Detection
Limit
/3 times (ppm)
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
SPK
CONC
(ppm)
2
2
2
0
1
1
SPK
CONC
(ppm)
2
2
2
0
1
1
R%
101.5
101.0
99.0
83.6
86.3
R%
98.5
100.5
98.7
89.9
95.6
RPD
-2.9
-0.800
RPD
-13
-1.528
Notes
Averaged Result
Notes
Averaged Result
-------
Sample ID
Calibration Std
M5-696-SWF
M5-697-SWF
M5-698-SWF
M5-699-SWF
M5-700-SWF
M5 -701 -SWF
M5-702-SWF
M5 -703 -SWF
M5-704-SWF
M5 -705 -SWF
M5-706-SWF
M5-707-SWF
M5-708-SWF
M5-709-SWF
M5-710-SWF
M5 -711 -SWF
M5-712-SWF
M5-714-SWF
M5 -71 5 -SWF
M5-716-SWF
M5-718-SWF
M5-719-SWF
M5-720-SWF
M5-722-SWF
M5 -723 -SWF
QC CHECK
FINAL QC CHECK
CALIBRATION (CCV)
UMS
MS
MSB
Sample ID
Calibration Std
M5-724-SWF
M5 -725 -SWF
M5-726-SWF
M5-727-SWF
M5-728-SWF
M5-729-SWF
M5-730-SWF
M5 -731 -SWF
M5-732-SWF
M5 -73 3 -SWF
M5-734-SWF
M5 -73 5 -SWF
M5-738-SWF
M5-740-SWF
M5 -741 -SWF
M5-742-SWF
M5 -743 -SWF
M5-744-SWF
M5 -745 -SWF
M5-746-SWF
M5-747-SWF
M5-823-SWF
M5-828-SWF
M5-838-SWF
M5-848-SWF
QC CHECK
FINAL QC CHECK
CALIBRATION (CCV)
UMS
MS
MSB
Collectio
Date
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
09/26/99
09/25/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/23/99
09/24/99
09/24/99
09/24/99
09/23/99
09/23/99
09/23/99
09/23/99
Collect™
Date
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/22/99
09/23/99
09/23/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/30/99
09/29/99
09/29/99
09/28/99
1
Time
1510
1637
1030
1635
1750
1740
918
1655
1615
1725
1555
1500
900
1330
1430
1115
905
1715
1145
1310
1030
1715
0
1600
1500
1
Time
1442
1323
1230
1216
1350
1027
1120
1725
917
910
1540
1700
1410
1245
1534
1418
1130
1224
1120
948
942
Digestion
Date
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
Digestion
Date
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
10/08/99
Analysis
Date
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
Analysis
Date
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
/23/99
Holding
Time
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Holding
Time
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Time since
Digestion
Time since
Digestion
Batch
ID
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
Batch
ID
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
ANTEK 11/23/99
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Rep 1
uM
508879
162320
73439
84802
25672
39785
53418
04815
98265
58737
45238
59852
37108
85514
22877
99087
13147
83774
46542
90333
171736
148783
155773
157942
162255
122325
494705
538788
531113
192383
399174
470479
Rep 1
uM
499878
177693
132768
101698
91707
112597
99739
126876
129140
127159
91575
109118
84652
55020
41659
51466
84603
54352
74632
79714
84326
97048
479929
142608
165416
206276
499770
521009
500661
185143
454798
Rep 2
uM
495740
219467
219848
153753
353233
227784
295054
266464
209979
200058
174366
160606
195536
227273
92577
229275
188271
192142
149006
128849
173478
156455
194613
157993
115898
139835
500641
515388
538721
NO BATA
NO BATA
473802
Rep 2
uM
496837
204268
106827
97999
103829
125752
103736
129193
136469
88978
88923
104863
72088
53674
77333
58015
80795
57829
79046
81919
79863
108171
254735
128039
173157
221671
501408
517753
497732
190928
476171
Rep 3
uM
492412
178111
290654
167225
312623
260241
203785
235091
200283
163973
172897
146831
218820
142298
87658
232242
133577
152521
154812
147125
144394
145131
211607
263983
131858
99471
501261
46990
33640
66266
22194
37260
Rep 3
uM
495823
210066
117482
102123
141283
100674
103797
126703
108501
95881
82010
113483
82188
58051
37119
57144
74001
62004
85463
75869
76716
101574
221256
141499
173612
205263
508584
511477
499122
191269
460173
419473
Rep 4
uM
499249
517572
162009
Rep 4
uM
500894
510048
190971
Rep 5
uM
500166
522517
178392
Rep 5
uM
513553
506203
186138
Rep 6
uM
512567
516741
NO BATA
Rep 6
uM
509586
502547
182724
Average
Replicates
uM
501502
186633
227980
201927
330509
242603
317419
402123
202842
174256
164167
155763
183821
185028
101037
220201
144998
176146
150120
122102
163203
150123
187331
193306
136670
120544
498869
526333
534491
174763
410684
460514
Average
Replicates
uM
502762
197342
119026
100607
112273
113008
102424
127591
124703
104006
87503
109155
79643
55582
52037
55542
79800
58062
79714
79167
80302
102264
318640
137382
170728
211070
503254
511506
499172
187862
463714
443558
Blank
Correction
uM
Blank
Correction
uM
Corrected
Peak
uM
Corrected
Peak
uM
Slope
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
3.98802E-06
Slope
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
3.97803E-06
Sample
Results
ppm
2.00
0.74
0.91
0.81
1.32
0.97
1.27
1.60
0.81
0.69
0.65
0.62
0.73
0.74
0.40
0.88
0.58
0.70
0.60
0.49
0.65
0.60
0.75
0.77
0.55
0.48
1.99
2.10
2.13
0.70
1.64
1.84
Sample
Results
ppm
2.00
0.79
0.47
0.40
0.45
0.45
0.41
0.51
0.50
0.41
0.35
0.43
0.32
0.22
0.21
0.22
0.32
0.23
0.32
0.31
0.32
0.41
1.21
0.55
0.68
0.84
2.00
2.03
1.99
0.75
1.84
1.76
Detection
Limit
/3 times (ppm)
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
Detection
Limit
/3 times (ppm)
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
0.03/0.09
SPK
CONC
(ppm)
2
2
2
0
1
1
SPK
CONC
(ppm)
2
2
2
0
1
1
R%
99.5
105.0
106.6
94.1
114.0
R%
100.1
101.7
99.3
109.7
101.7
RPD
1.3
-4.776
RPD
9.9
1.896
Notes
Averaged Result
Notes
Averaged Result
-------
10 % Recalculated Results for Total Organic Carbon in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-5-00
Checked by njs 4-13-00
Sample
M5-622-SWF
M5-633-SWF
M5-643-SWF
M5-653-SWF
M5-663-SWF
M5-673-SWF
Sample
Method Blank
Method Blank
Method Blank
Method Blank
Method Blank
Method Blank
CCV10
CCV5
CCV10
CCV5
CCV10
UMS
UMS
MS
MS
627
627D
638
638D
648
948D
658
658D
668
668D
QC
Batch
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
QC
Batch
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
Qualifier
Note
Qualifier
Note
Dilution
1
1
1
1
1
1
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Result
ppm
36.77
21.02
24.94
34.31
19.94
18.90
Instrument
Result
ppm
2.331
2.273
2.933
2.565
2.668
2.698
13.04
8.51
13.80
8.405
13.63
10.73
10.91
19.72
19.41
40.63
41.15
22.5
22.55
26.89
26.84
26.24
26.51
17.19
17.11
Blank Factor
ppm
0
0
0
0
0
0
Blank Factor
ppm
2.578
2.578
2.578
2.578
2.578
2.578
2.578
2.578
2.578
2.578
2.578
2.578
2.578
2.578
2.578
0
0
0
0
0
0
0
0
0
0
Sample
Results
ppm
36.77
21.02
24.94
34.31
19.94
18.90
Sample
Results
ppm
-0.25
-0.31
0.36
-0.01
0.09
0.12
10.46
5.93
11.22
5.83
11.05
8.15
8.33
17.14
16.83
40.63
41.15
22.50
22.55
26.89
26.84
26.24
26.51
17.19
17.11
Detection
Limit
ppm
0.12
0.12
0.12
0.12
0.12
0.12
Detection
Limit'3
ppm
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
Spike
Cone
(ppm)
0
0
0
0
0
0
10
5
10
5
10
8
8
0
0
0
0
0
0
0
0
0
0
R%
104.62
118.64
112.22
116.54
110.52
112.38
106.25
RPD
-2.184
1.825
-1.272
-0.222
0.186
-1.024
0.466
-------
10 % Recalculated Results for Total Organic Carbon in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-5-00
Checked by njs 4-13-00
Sample
M5-683-SWF
M5-693-SWF
M5-703-SWF
M5-714-SWF
M5-726-SWF
Sample
Method Blank
Method Blank
Method Blank
Method Blank
Method Blank
Method Blank
CCV10
CCV5
CCV10
CCV5
CCV10
UMS
UMS
MS
MS
686
686D
696
696D
706
706D
718
718D
729
729D
QC
Batch
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
QC
Batch
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
Qualifier
Note
Qualifier
Note
Dilution
1
1
1
1
1
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Result
ppm
11.55
10.22
14.16
13.99
11.50
Instrument
Result
ppm
1.139
1.158
1.307
1.161
1.302
1.371
11.13
6.364
11.22
6.343
11.18
8.789
9.143
16.7
17
18.58
18.78
17.09
17.01
10.64
10.25
12.1
11.32
9.356
9.092
Blank Factor
ppm
0
0
0
0
0
Blank Factor
ppm
1.24
1.24
1.24
1.24
1.24
1.24
1.24
1.24
1.24
1.24
1.24
1.24
1.24
1.24
1.24
0
0
0
0
0
0
0
0
0
0
Sample
Results
ppm
11.55
10.22
14.16
13.99
11.50
Sample
Results
ppm
-0.10
-0.08
0.07
-0.08
0.06
0.13
9.89
5.12
9.98
5.10
9.94
7.55
7.90
15.46
15.76
18.58
18.78
17.09
17.01
10.64
10.25
12.1
11.32
9.356
9.092
Detection
Limit
ppm
0.12
0.12
0.12
0.12
0.12
Detection
Limit'3
ppm
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
Spike
Cone
(ppm)
0
0
0
0
0
0
10
5
10
5
10
8
8
0
0
0
0
0
0
0
0
0
0
R%
98.90
102.48
99.80
102.06
99.40
98.89
98.21
RPD
-4.582
-1.922
-1.071
0.469
3.734
6.661
2.862
-------
10 % Recalculated Results for Total Organic Carbon in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-5-00
Checked by njs 4-13-00
Sample
M5-738-SWF
M5-828-SWF
M5-944-SWF
Sample
Method Blank
Method Blank
Method Blank
Method Blank
Method Blank
Method Blank
CCV10
CCV5
CCV10
CCV5
CCV10
UMS
UMS
MS
MS
740
740D
838
838D
QA-042-PEF
QA-042-PEF-DUP
QA-003-CB1
QA-003-CB1-DUP
QC
Batch
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
QC
Batch
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
Qualifier
Note
Qualifier
Note
Dilution
1
1
1
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Result
ppm
6.326
18.67
7.77
Instrument
Result
ppm
1.163
1.223
1.275
1.082
1.037
0.822
11.70
6.771
11.85
6.519
11.5
8.889
9.033
18
17.9
5.777
6.133
22.06
21.88
0.82
0.838
0.883
0.881
Blank Factor
ppm
0
0
0
Blank Factor
ppm
1.1
1.1
1.1
1.1
1.1
1.1
1.1
1.1
1.1
1.1
1.1
1.1
1.1
1.1
1.1
0
0
0
0
0
0
0
0
Sample
Results
ppm
6.33
18.67
7.77
Sample
Results
ppm
0.06
0.12
0.18
-0.02
-0.06
-0.28
10.60
5.67
10.75
5.42
10.40
7.79
7.93
16.90
16.80
5.78
6.13
22.06
21.88
0.82
0.84
0.883
0.881
Detection
Limit
ppm
0.12
0.12
0.12
Detection
Limit'3
ppm
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
0.36
Spike
Cone
(ppm)
0
0
0
0
0
0
10
5
10
5
10
8
8
0
0
0
0
0
0
0
0
R%
106.00
113.42
107.50
108.38
104.00
113.89
110.84
RPD
-1.832
0.593
-5.978
0.819
-2.171
0.227
-------
SERC Lab / EPA REMAP results
Total Organic Carbon (TOC) Water Analysis by EPA Method 415.1 (modified)
Analysis not performed
Analysis not required
Average of two
Data Entered by:
Data Entry Checked by:
PMEYER 3-16-00
njs 3-17-00
Sampling Station
ID
M5-622-SWF
M5-623-SWF
M5-624-SWF
M5-625-SWF
M5-626-SWF
M5-627-SWF
M5-628-SWF
M5-631-SWF
M5-632-SWF
M5-633-SWF
M5-635-SWF
M5-637-SWF
M5-638-SWF
M5-639-SWF
M5-640-SWF
M5-641-SWF
M5-642-SWF
M5-643-SWF
M5-644-SWF
M5-646-SWF
M5-647-SWF
M5-648-SWF
M5-649-SWF
M5-650-SWF
M5-653-SWF
M5-654-SWF
M5-655-SWF
M5-656-SWF
M5-657-SWF
M5-658-SWF
M5-659-SWF
M5-660-SWF
M5-661-SWF
M5-662-SWF
M5-663-SWF
M5-664-SWF
M5-665-SWF
M5-666-SWF
M5-667-SWF
Matrix
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
Collection
Date
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/28/99
09/29/99
09/28/99
09/29/99
09/29/99
09/30/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/27/99
09/28/99
09/27/99
09/27/99
09/29/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
Time
1125
915
1018
1257
908
1050
1716
1414
1010
1115
1216
1210
1630
1715
1116
1615
1011
910
1145
1515
1102
1300
1620
1158
1300
1145
1028
900
1751
1722
1205
1450
857
1610
1330
1100
1710
1655
1545
Digestion
Date
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
Run
Date
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
Holding
Time (Days)
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Time Elapsed
From Dig
21
21
21
21
21
21
22
22
22
22
22
22
22
23
22
23
22
22
21
23
23
23
23
23
23
23
23
23
24
23
24
24
22
24
24
24
24
24
24
TOC
Units (ppm)
36.77
22.28
27.22
28.27
22.65
40.89
19.60
17.69
17.99
21.02
17.36
20.24
22.53
25.40
16.23
26.20
39.12
24.94
29.06
33.42
37.49
26.86
27.75
30.02
34.31
27.46
35.39
18.45
33.66
26.38
26.98
29.14
22.07
25.77
19.94
27.47
23.95
20.49
18.52
QA/QC
Batch ID
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
QAData
% R | %RPD | Matrix %R | Sample RPD
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
118
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
109
-1.27
0.22
0.19
-1.02
Notes
Averaged Result
Averaged Result
Averaged Result
Averaged Result
-------
M5-668-SWF
M5-669-SWF
M5-670-SWF
M5-672-SWF
M5-673-SWF
M5-674-SWF
M5-675-SWF
M5-676-SWF
M5-677-SWF
M5-678-SWF
M5-679-SWF
M5-680-SWF
M5-681-SWF
M5-683-SWF
M5-684-SWF
M5-685-SWF
M5-686-SWF
M5-687-SWF
M5-688-SWF
M5-689-SWF
M5-690-SWF
M5-691-SWF
M5-692-SWF
M5-693-SWF
M5-694-SWF
M5-695-SWF
M5-697-SWF
M5-699-SWF
M5-700-SWF
M5-701-SWF
M5-702-SWF
M5-703-SWF
M5-704-SWF
M5-705-SWF
M5-706-SWF
M5-707-SWF
M5-708-SWF
M5-709-SWF
M5-711-SWF
M5-712-SWF
M5-714-SWF
M5-715-SWF
M5-716-SWF
M5-718-SWF
M5-720-SWF
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/26/99
09/26/99
09/28/99
09/26/99
09/26/99
09/26/99
09/27/99
09/26/99
09/26/99
09/26/99
09/26/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/26/99
09/25/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/23/99
09/24/99
09/24/99
09/24/99
09/23/99
1207
1000
850
1100
1400
1025
1130
925
1310
1213
1335
900
1410
850
1530
1434
915
1035
1527
1205
1350
1554
1200
1139
1702
1400
1637
1635
1750
1740
918
1655
1615
1725
1555
1500
900
1330
1115
905
1715
1145
1310
1030
0
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
24
24
24
24
24
25
25
23
26
26
26
25
26
26
26
26
27
27
26
27
27
27
27
27
27
27
26
27
27
26
27
28
28
28
28
28
28
28
28
28
29
28
28
28
29
17.15
26.09
20.14
15.43
18.9
17.46
22.51
18.05
18.51
13.81
16.7
15.68
18.45
11.55
18.08
12.59
18.68
18.74
11.32
17.71
13.11
11.67
12.17
10.22
12.39
16.21
18.89
16.88
12.27
12.46
16.9
14.16
9.518
10.09
10.45
11
14.46
6.433
10.66
11.34
13.99
8.607
14.86
11.71
15.61
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
118
118
118
118
118
118
118
118
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
109
109
109
109
109
109
109
109
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
99
0.47
-1.07
3.73
6.66
Averaged Result
Averaged Result
Averaged Result
Averaged Result
-------
M5-722-SWF
M5-723-SWF
M5-724-SWF
M5-725-SWF
M5-726-SWF
M5-727-SWF
M5-728-SWF
M5-729-SWF
M5-730-SWF
M5-731-SWF
M5-732-SWF
M5-733-SWF
M5-734-SWF
M5-735-SWF
M5-738-SWF
M5-740-SWF
M5-741-SWF
M5-742-SWF
M5-743-SWF
M5-745-SWF
M5-746-SWF
M5-747-SWF
M5-823-SWF
M5-828-SWF
M5-838-SWF
M5-848-SWF
M5-859-SWF
M5-868-SWF
M5-878-SWF
M5-890-SWF
M5-908-SWF
M5-920-SWF
M5-932-SWF
M5-944-SWF
QA-001-CB1
QA-001-CB2
QA-002-CB1
QA-002-CB2
QA-003-CB1
QA-003-CB2
QA-004-CB1
QA-004-CB2
QA-005-CB1
QA-005-CB2
QA-006-CB1
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
WATER
WATER
WATER
WATER
WATER
WATER
WATER
WATER
WATER
WATER
WATER
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/22/99
09/23/99
09/23/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/30/99
09/29/99
09/29/99
09/28/99
09/27/99
09/27/99
09/26/99
09/25/99
09/24/99
09/23/99
09/23/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
1600
1500
1442
1323
1230
1216
1350
1027
1120
1725
917
910
1540
1700
1410
1245
1534
1418
1130
1120
948
942
1224
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/23/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/23/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
29
29
29
29
29
29
29
29
29
30
29
29
30
30
30
30
30
30
30
30
30
30
22
23
23
24
25
25
26
27
28
29
29
30
30
30
30
31
30
30
30
30
30
30
30
10.69
8.841
14.08
10.02
11.5
9.453
11
9.22
11.77
11.64
8.877
8.521
10.67
9.589
6.326
5.96
8.7
8.733
5.541
9.547
8.579
11.02
20.76
18.67
21.97
26.26
25.24
15.95
14.76
13.02
15.23
15.89
8.945
7.77
0.75
0.765
0.713
0.92
0.882
0.753
0.814
0.758
0.91
0.787
0.755
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-23-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
102
102
102
102
102
102
102
102
102
102
102
102
111
111
111
111
111
111
111
111
111
111
111
111
111
111
111
111
111
111
111
111
111
111
111
111
111
108
111
111
111
111
111
111
111
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
99
99
99
99
99
99
99
99
99
99
99
99
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
101
112
112
112
112
112
112
112
2.86
-5.97
0.82
24.60
0.23
Averaged Result
Averaged Result
Averaged Result
Averaged Result
Averaged Result
-------
QA-006-CB2
QA-007-CB1
QA-007-CB2
QA-008-CB1
QA-008-CB2
QA-009-CB1
QA-009-CB2
QA-027-PEF
QA-031-PEF
QA-032-PEF
QA-042-PEF
QA-043-PEF
QA-044-PEF
QA-630-SWF
QA-634-SWF
QA-636-SWF
QA-645-SWF
QA-651-SWF
QA-652-SWF
QA-671-SWF
QA-682-SWF
QA-696-SWF
QA-698-SWF
QA-710-SWF
QA-719-SWF
QA-744-SWF
WATER
WATER
WATER
WATER
WATER
WATER
WATER
PE
WATER
PE
WATER
PE
PE
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/21/99
10/22/99
10/21/99
10/22/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/21/99
10/22/99
10/21/99
10/22/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/21/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
10/22/99
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
30
30
30
30
30
30
30
29
30
29
30
29
29
29
29
29
29
29
29
29
30
30
30
30
30
30
0.786
0.742
0.739
0.764
0.815
0.941
0.75
46.52
0.797
12.6
0.83
6.78
2.204
21.20
29.86
38.62
42.34
30.65
21.46
19.43
14.36
17.05
10.91
14.72
13.83
7.704
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-22-99/TOC-A
10-21-99/TOC-B
10-22-99/TOC-A
10-21-99/TOC-B
10-22-99/TOC-A
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-21-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-B
10-22-99/TOC-A
111
111
111
111
111
111
111
118
111
118
111
118
118
118
118
118
118
118
118
118
102
102
102
102
102
111
1
1
1
1
1
1
1
2
1
2
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
112
112
112
112
112
112
112
109
112
109
112
109
109
109
109
109
109
109
109
109
99
99
99
99
99
112
-2.17
0.41
Averaged Result
Averaged Result
R:\wp_iiles\2110-247\report\pdi\Final DraftWppendix C\September 1999 DR\[toc.xls]TOC results
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-6-00
Checked by njs 4-13-00
Sample
M5-622-SWF-1
M5-622-SWF-2
M5-622-SWF-3
M5-622-SWF-1-S
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
QC
Batch
HG19JF1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Reading
Peak Height
Rep 1,2,3
106.3
109.9
111.7
114.6
112.7
112.3
108.4
107.9
107.9
130.4
133.0
129.8
0.65
78.3
77.9
81.5
80.4
72.2
76.9
81.1
77.9
Method
Reagant Blank
Peak Hieght
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Corrected
Reading
Peak Height
Rep 1,2,3
106.30
109.90
111.70
114.60
112.70
112.30
108.40
107.90
107.90
130.40
133.00
129.80
0.65
78.30
77.90
81.50
80.40
72.20
76.90
81.10
77.90
Y ratio
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
15.2
Hg
Concentration
ppt
7.19
7.44
7.56
7.76
7.63
7.60
7.34
7.30
7.30
8.83
9.00
8.79
0.04
5.30
5.27
5.52
5.44
4.89
5.20
5.49
5.27
Averaged
Result
ppt
7.46
8.87
5.30
DETECTION
LIMIT/* 3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONG
(ppt)
2
2
2
5
5
5
5
5
5
5
5
R%
70.65
105.99
105.45
110.33
108.84
97.74
104.10
109.78
105.45
Standard
Deviation
0.19
0.12
0.20
Relative
Standard
Deviation
2.5
1.3
3.8
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-6-00 Checked by
Sample
M5-633-SWF-1
M5-633-SWF-2
M5-633-SWF-3
M5-633-SWF-1-S
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
M5-944-SWF-1
M5-944-SWF-2
M5-944-SWF-3
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-1 0
CCV-1 1
CCV-1 2
QC
Batch
HG13IF1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
HG13IF1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
njs 4-1 3-00
Instrument
Reading
Peak Height
Rep 1,2,3
52.4
51.0
49.7
48.7
51.4
48.0
43.7
46.8
41.2
59.3
61.3
60.9
1.55
90.8
90.8
87.4
88.0
81.9
86.4
81.7
85.0
32.6
27.7
19.7
25.1
29.3
26.1
29.1
30.7
30.3
2.95
85.0
86.1
76.8
76.3
82.1
84.4
79.4
80.9
77.7
76.6
84.8
87.0
Method
Reagant Blank
Peak Hieght
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
4.01
Corrected
Reading
Peak Height
Rep 1,2,3
48.39
46.99
45.69
44.69
47.39
43.99
39.69
42.79
37.19
55.29
57.29
56.89
1.55
86.79
86.79
83.39
83.99
77.89
82.39
77.69
80.99
28.59
23.69
15.69
21.09
25.29
22.09
25.09
26.69
26.29
2.95
80.99
82.09
72.79
72.29
78.09
80.39
75.39
76.89
73.69
72.59
80.79
82.99
Y ratio
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
17.8
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
15.1
Hg
Concentration
ppt
2.80
2 72
2.64
2.58
2.74
2.54
2.29
2.47
2.15
3.20
3.31
3.29
0.09
5.02
5.02
4.82
4.85
4.50
4.76
4.49
4.68
1.95
1.61
1.44
1.72
1.51
1.71
1.82
1.79
0.20
5.52
5.59
4.96
4.93
5.32
5.48
5.14
5.24
5.02
4.95
5.50
5.65
Averaged
Result
ppt
2.55
3.26
1.69
5.27
DETECTION
LIMIT/* 3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONG
(ppm)
1
1
1
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
R%
71.67
100.33
100.33
96.40
97.09
90.04
95.24
89.81
93.62
110.36
111.86
99.19
98.51
106.41
109.54
102.73
104.77
100.41
98.91
110.09
113.09
Standard
Deviation
0.21
0.06
0.17
0.27
Relative
Standard
Deviation
8.4
1.9
9.9
5.2
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-6-00 Checked by
Sample
M5-643-SWF-1
M5-643-SWF-2
M5-643-SWF-3
M5-677-SWF-1
M5-677-SWF-2
M5-677-SWF-3
QA-677-SWF-1-S
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-1 0
CCV-1 1
CCV-1 2
QC
Batch
HG07JF1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
»
11
11
11
11
»
11
11
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
njs 4-1 3-00
Instrument
Reading
Peak Height
Rep 1,2,3
18.4
16.4
13.6
14.1
15.7
16.8
19.3
18.4
15.9
15.5
20.2
14.3
11.7
16.9
14.9
15.8
19.5
17.0
42.6
40.8
45.2
4.85
60.3
61.2
61.9
61.3
62.5
60.6
60.9
57.7
55.8
60.0
65.2
60.6
Method
Reagant Blank
Peak Hieght
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
2.78
Corrected
Reading
Peak Height
Rep 1,2,3
15.62
13.62
10.82
11.32
12.92
14.02
16.52
15.62
13.12
12.72
17.42
11.52
8.92
14.12
12.12
13.02
16.72
14.22
39.82
38.02
42.42
4.85
57.52
58.42
59.12
58.52
59.72
57.82
58.12
54.92
53.02
57.22
62.42
57.82
Y ratio
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
14.6
14.6
14.6
14.6
14.6
14.6
14.6
14.6
14.6
14.6
14.6
14.6
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
Hg
Concentration
ppt
1.34
1.17
0.93
0.97
1.11
1.20
1.42
1.34
1.12
0.90
1.23
0.81
0.63
0.99
0.85
0.92
1.18
1.00
2.81
2.68
2.99
0.42
4.93
5.01
5.07
5.02
5.12
4.96
4.98
4.71
4.55
4.91
5.35
4.96
Averaged
Result
ppt
1.18
0.95
2.82
4.96
DETECTION
LIMIT/* 3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONG
(ppm)
2
2
2
5
5
5
5
5
5
5
5
5
5
5
5
R%
93.95
98.63
100.17
101.37
100.34
102.40
99.14
99.66
94.17
90.91
98.11
107.03
99.14
Standard
Deviation
0.17
0.18
0.16
0.20
Relative
Standard
Deviation
14.2
19.4
5.5
4.0
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-6-00 Checked by
Sample
M5-653-SWF-1
M5-653-SWF-2
M5-653-SWF-3
M5-632-SWF-1
M5-632-SWF-2
M5-632-SWF-3
QA-632-SWF-1-S
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-1 0
CCV-1 1
CCV-1 2
CCV-1 3
CCV-1 4
CCV-1 5
CCV-1 6
CCV-1 7
CCV-1 8
CCV-1 9
CCV-20
CCV-21
CCV-22
QC
Batch
HG15JF1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Qualifier
Note
"M"
"M"
"M"
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
njs 4-1 3-00
Instrument
Reading
Peak Height
Rep 1,2,3
9.5
11.9
10.6
10.2
11.4
14.1
9.6
9.5
11.9
15.2
13.7
14.5
10.2
15.4
6.5
11.7
12.2
12.7
53.7
54.4
55.6
0.55
81.1
83.6
80.5
81.3
84.6
81.8
87.1
85.8
87.6
84.1
81.4
84.8
81.7
80.7
84.1
74.4
80.5
80.4
83.3
78.5
77.5
79.3
Method
Reagant Blank
Peak Hieght
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.08
Corrected
Reading
Peak Height
Rep 1,2,3
9.42
11.82
10.52
10.12
11.32
14.02
9.52
9.42
11.82
15.12
13.62
14.42
10.12
15.32
6.42
11.62
12.12
12.62
53.62
54.32
55.52
0.55
81.02
83.52
80.42
81.22
84.52
81.72
87.02
85.72
87.52
84.02
81.32
84.72
81.62
80.62
84.02
74.32
80.42
80.32
83.22
78.42
77.42
79.22
Y ratio
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
16.1
Hg
Concentration
ppt
0.60
0.76
0.67
0.65
0.72
0.61
0.60
0.76
0.97
0.87
0.92
0.65
0.98
0.74
0.77
0.81
3.43
3.47
3.55
0.04
5.18
5.34
5.14
5.19
5.40
5.22
5.56
5.48
5.59
5.37
5.20
5.41
5.22
5.15
5.37
4.75
5.14
5.13
5.32
5.01
4.95
5.06
Averaged
Result
ppt
0.67
0.84
3.48
5.24
DETECTION
LIMIT/* 3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONG
(ppm)
2
2
2
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
R%
132.17
103.54
106.74
102.78
103.80
108.02
104.44
111.21
109.55
111.85
107.38
103.93
108.27
104.31
103.03
107.38
94.98
102.78
102.65
106.36
100.22
98.94
101.24
Standard
Deviation
0.07
0.12
0.06
0.20
Relative
Standard
Deviation
9.9
13.9
1.8
3.8
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-6-00 Checked by
Sample
M5-663-SWF-1
M5-663-SWF-2
M5-663-SWF-3
M5-663-SWF-1-S
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-1 0
CCV-1 1
CCV-1 2
QC
Batch
HG30F1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
njs 4-1 3-00
Instrument
Reading
Peak Height
Rep 1,2,3
29.30
30.40
29.40
30.30
30.10
28.00
33.70
30.40
29.50
50.60
58.30
55.30
2.53
80.30
84.00
95.20
86.00
70.60
71.60
74.90
70.60
72.10
68.30
76.00
70.30
Method
Reagant Blank
Peak Hieght
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
5.29
Corrected
Reading
Peak Height
Rep 1,2,3
24.01
25.11
24.11
25.01
24.81
22.71
28.41
25.11
24.21
45.31
53.01
50.01
2.53
75.01
78.71
89.91
80.71
65.31
66.31
69.61
65.31
66.81
63.01
70.71
65.01
Y ratio
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
16.6
Hg
Concentration
ppt
1.49
1.56
1.49
1.55
1.54
1.41
1.56
1.50
2.81
3.29
3.10
0.16
4.65
4.88
5.57
5.00
4.05
4.11
4.31
4.05
4.14
3.91
4.38
4.03
Averaged
Result
ppt
1.51
3.06
4.36
DETECTION
LIMIT/* 3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONG
(ppm)
2
2
2
5
5
5
5
5
5
5
5
5
5
5
5
R%
77.65
92.98
97.56
111.45
100.04
80.95
82.19
86.28
80.95
82.81
0.00
87.65
87.10
Standard
Deviation
0.05
0.24
0.53
Relative
Standard
Deviation
3.4
7.85
12.1
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-6-00
Checked by
njs 4-13-00
Sample
M5-673-SWF-1
M5-673-SWF-2
M5-673-SWF-3
M5-683-SWF-1
M5-683-SWF-2
M5-683-SWF-3
M5-678-SWF-1
M5-678-SWF-2
M5-678-SWF-3
QA-678-SWF-1-S
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-1 0
CCV-1 1
CCV-1 2
CCV-1 3
CCV-1 4
CCV-1 5
CCV-1 6
CCV-1 7
CCV-1 8
CCV-1 9
CCV-20
QC
Batch
HG29IF1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Reading
Peak Height
Rep 1,2,3
26.5
28.6
28.5
26.1
30.6
30.8
23.6
31.6
27.4
21.60
15.80
19.00
22.80
21.00
24.40
23.60
16.90
22.80
21.4
20.9
18.7
20.7
20.0
19.9
20.4
26.1
21.7
50.7
45.4
46.0
1.36
81.9
80.1
75.8
74.2
3.75
81.9
80.1
63.1
68
62.6
61.2
66.4
64.3
71.7
69.1
71.7
71.9
70.8
70.6
70.5
73.5
66.4
65.8
72
70.4
Method
Reagant Blank
Peak Hieght
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
8.25
Corrected
Reading
Peak Height
Rep 1,2,3
18.25
20.35
20.25
17.85
22.35
22.55
15.35
23.35
19.15
13.35
7.55
10.75
14.55
12.75
16.15
15.35
8.65
14.55
13.15
12.65
10.45
12.45
11.75
11.65
12.15
17.85
13.45
42.45
37.15
37.75
1.36
73.65
71.85
67.55
65.95
3.75
73.65
71.85
54.85
59.75
54.35
52.95
58.15
56.05
63.45
60.85
63.45
63.65
62.55
62.35
62.25
65.25
58.15
57.55
63.75
62.15
Y ratio
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
17.1
17.1
17.1
17.1
17.1
17.1
17.1
17.1
17.1
17.1
17.1
17.1
17.1
17.1
17.1
17.1
17.1
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
12.8
Hg
Concentration
ppt
1.47
1.64
1.63
1.43
1.80
1.81
1.23
1.88
1.54
1.07
0.61
0.86
1.17
1.02
1.30
1.23
0.70
1.17
0.79
0.76
0.63
0.75
0.71
0.70
0.73
0.81
2.55
2.24
2.27
0.08
4.43
4.32
4.06
3.97
0.30
5.92
5.77
4.41
4.80
4.37
4.26
4.67
4.51
5.10
4.89
5.10
5.12
5.03
5.01
5.00
5.24
4.67
4.63
5.12
5.00
Averaged
Result
ppt
1.60
1.01
0.73
2.35
4.20
4.93
DETECTION
LIMIT/* 3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONG
(ppm)
2
2
2
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
R%
80.93
88.62
86.46
81.28
79.36
118.39
115.50
88.17
96.05
87.37
85.12
93.48
90.10
102.00
97.82
102.00
102.32
100.55
100.23
100.07
104.89
93.48
92.51
102.48
99.91
Standard
Deviation
0.21
0.24
0.06
0.17
0.22
0.42
Relative
Standard
Deviation
13.0
23.9
7.8
7.4
5.2
8.6
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-6-00 Checked by
Sample
M5-693-SWF-1
M5-693-SWF-2
M5-693-SWF-3
M5-703-SWF-1
M5-703-SWF-2
M5-703-SWF-3
M5-626-SWF-1
M5-626-SWF-2
M5-626-SWF-3
QA-626-SWF-1-S
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-1 0
CCV-1 1
CCV-1 2
CCV-1 3
CCV-1 4
CCV-1 5
CCV-1 6
CCV-1 7
CCV-1 8
CCV-1 9
CCV-20
CCV-21
QC
Batch
HG18JF1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
njs 4-1 3-00
Instrument
Reading
Peak Height
Rep 1,2,3
22.10
22.8
24.5
22.00
23
23.8
25.00
25.1
27.4
26.10
25.9
25.5
24.10
20.9
22.4
22.60
22.7
22.1
30.2
28.9
32.5
27.4
28.4
27.4
26.8
26.9
26.1
58.7
58.1
53.6
1.75
93.3
94.3
89.7
85.2
90.9
92
88.5
85.1
85.4
87.2
85.5
95.3
94.8
90
92.3
95.3
92.9
91.1
89.3
86.1
83.80
Method
Reagant Blank
Peak Hieght
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
1.08
Corrected
Reading
Peak Height
Rep 1,2,3
21.02
21.72
23.42
20.92
21.92
22.72
23.92
24.02
26.32
25.02
24.82
24.42
23.02
19.82
21.32
21.52
21.62
21.02
29.12
27.82
31.42
26.32
27.32
26.32
25.72
25.82
25.02
57.62
57.02
52.52
1.75
92.22
93.22
88.62
84.12
89.82
90.92
87.42
84.02
84.32
86.12
84.42
94.22
93.72
88.92
91.22
94.22
91.82
90.02
88.22
85.02
82.72
Y ratio
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
17.3
Hg
Concentration
ppt
1.25
1.29
1.39
1.24
1.30
1.35
1.42
1.43
1.57
1.49
1.48
1.45
1.37
1.18
1.27
1.28
1.29
1.25
1.73
1.65
1.57
1.62
1.57
1.53
1.54
1.49
3.43
3.39
3.12
0.10
5.48
5.54
5.27
5.00
5.34
5.41
5.20
5.00
5.01
5.12
5.02
5.60
5.57
5.29
5.42
5.60
5.46
5.35
5.25
5.06
4.92
Averaged
Result
ppt
1.36
1.34
1.59
3.31
5.28
DETECTION
LIMIT/* 3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONG
(ppm)
2
2
2
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
R%
86.34
109.68
110.87
105.40
100.05
106.83
108.14
103.97
99.93
100.29
102.43
100.41
112.06
111.47
105.76
108.49
112.06
109.21
107.07
104.93
101.12
98.38
Standard
Deviation
0.10
0.11
0.08
0.17
0.22
Relative
Standard
Deviation
7.6
8.3
5.0
5.0
4.2
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-6-00
Checked by
njs 4-13-00
Sample
M5-714-SWF-1
M5-714-SWF-2
M5-714-SWF-3
M5-735-SWF-1
M5-735-SWF-2
M5-735-SWF-3
QA-735-SWF-1-S
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-1 0
CCV-1 1
CCV-1 2
CCV-1 3
CCV-1 4
CCV-1 5
CCV-1 6
CCV-1 7
CCV-1 8
QC
Batch
HG27IF1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Reading
Peak Height
Rep 1,2,3
19.7
15.5
15.1
16.9
16.5
15.0
17.0
18.0
16.9
17.9
2.0
4.3
1.7
2.0
3.9
7.3
7.7
8.0
43.5
45.4
42.6
1.01
50.1
56.0
58.1
58.3
55.4
58.6
55.5
53.1
55.0
54.0
55.2
56.2
54.5
53.8
56.5
55.9
55.5
55.9
Method
Reagant Blank
Peak Hieght
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
Corrected
Reading
Peak Height
Rep 1,2,3
19.70
15.50
15.10
16.90
16.50
15.00
17.00
18.00
16.90
17.90
2.00
4.30
1.70
2.00
3.90
7.30
7.70
8.00
43.50
45.40
42.60
1.01
50.1
56
58.1
58.3
55.4
58.6
55.5
53.1
55
54
55.2
56.2
54.5
53.8
56.5
55.9
55.5
55.9
Y ratio
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
13.9
13.9
13.9
13.9
13.9
13.9
13.9
13.9
13.9
13.9
13.9
13.9
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
12.1
Hg
Concentration
ppt
1.67
1.32
1.28
1.44
1.40
1.28
1.45
1.53
1.44
1.32
1.63
1.80
1.61
1.63
1.77
2.02
2.05
2.07
3.22
3.36
3.15
0.09
4.26
4.76
4.94
4.96
4.71
4.98
4.72
4.51
4.68
4.59
4.69
4.78
4.63
4.57
4.80
4.75
4.72
4.75
Averaged
Result
ppt
1.42
1.77
3.24
4.71
DETECTION
LIMIT/* 3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONG
(ppm)
2
2
2
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
R%
73.89
85.19
95.23
98.80
99.14
94.21
99.65
94.38
90.30
93.53
91.83
93.87
95.57
92.68
91.49
96.08
95.06
94.38
95.06
Standard
Deviation
0.13
0.25
0.11
0.17
Relative
Standard
Deviation
8.9
14.1
3.3
3.6
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-6-00
Sample
M5-726-SWF-1
M5-726-SWF-2
M5-726-SWF-3
M5-726-SWF-1-S
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-1 0
CCV-1 1
CCV-1 2
CCV-1 3
CCV-1 4
CCV-1 5
CCV-1 6
CCV-1 7
CCV-1 8
QC
Batch
HG08JF1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Qualifier
Note
Checked by
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Instrument
Reading
Peak Height
Rep 1,2,3
10.5
11.7
9.8
13.4
8.3
10.3
11.1
5.7
8.3
33.8
35.5
35.3
0.40
62.4
62.9
60.9
59.3
58.7
60.3
55.0
60.5
59.1
60.9
60.5
56.2
61.8
60.6
60.8
58.7
69.9
63.3
njs 4-1 3-00
Method
Reagant Blank
Peak Hieght
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
2. 0
Corrected
Reading
Peak Height
Rep 1,2,3
8.30
9.50
7.60
11.20
6.10
8.10
8.90
3.50
6.10
31.60
33.30
33.10
0.40
60.2
60.7
58.7
57.1
56.5
58.1
52.8
58.3
56.9
58.7
58.3
54
59.6
58.4
58.6
56.5
67.7
61.1
Y ratio
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
12.5
Hg
Concentration
ppt
0.68
0.78
0.63
0.92
0.50
0.67
0.73
0.29
0.50
2.60
2.74
2 72
0.03
4.95
5.00
4.83
4.70
4.65
4.78
4.35
4.80
4.68
4.83
4.80
4.44
4.91
4.81
4.82
4.65
5.57
5.03
Averaged
Result
ppt
0.63
2.69
4.81
DETECTION
LIMIT/* 3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONG
(ppm)
2
2
2
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
R%
102.74
99.09
99.92
96.62
93.99
93.00
95.64
86.91
95.97
93.66
96.62
95.97
88.89
98.11
96.13
96.46
93.00
111.44
100.58
Standard
Deviation
0.18
0.08
0.26
Relative
Standard
Deviation
29.1
2.8
5.3
-------
10 % Recalculated Results for Total Mercury in Surface Water
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-6-00 Checked by
Sample
M5-738-SWF-1
M5-738-SWF-2
M5-738-SWF-3
M5-828-SWF-1
M5-828-SWF-2
M5-828-SWF-3
M5-718-SWF-1
M5-718-SWF-2
M5-718-SWF-3
QA-718-SWF-1-S
Instrument Blank
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-1 0
CCV-1 1
CCV-1 2
QC
Batch
HG05JF1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Qualifier
Note
Dilution
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
njs 4-1 3-00
Instrument
Reading
Peak Height
Rep 1,2,3
33.8
35.3
33.1
36.1
37.3
35.8
38.9
36.0
34.9
28.6
31.0
34.9
33.5
36.7
27.9
30.2
33.5
32.2
10.1
11.9
11.9
7.4
11.0
11.7
11.6
11.0
15.5
32.1
32.9
29.6
0.7
93.3
94.3
89.7
85.2
90.9
92.0
88.5
85.1
85.4
85.4
87.2
83.8
Method
Reagant Blank
Peak Hieght
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
5.32
Corrected
Reading
Peak Height
Rep 1,2,3
28.48
29.98
27.78
30.78
31.98
30.48
33.58
30.68
29.58
23.28
25.68
29.58
28.18
31.38
22.58
24.88
28.18
26.88
4.78
6.58
6.58
2.08
5.68
6.38
6.28
5.68
10.18
26.78
27.58
24.28
0.70
87.98
88.98
84.38
79.88
85.58
86.68
83.18
79.78
80.08
80.08
81.88
78.48
Y ratio
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
12.3
12.3
12.3
12.3
12.3
12.3
12.3
12.3
12.3
12.3
12.3
12.3
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
10.9
Hg
Concentration
ppt
2.69
2.83
2.62
2.91
3.02
2.88
3.17
2.90
2.79
2.20
2.42
2.79
2.66
2.96
2.13
2.35
2.66
2.54
0.40
0.55
0.55
0.17
0.48
0.53
0.53
0.48
0.85
2.24
2.31
2.03
0.07
8.30
8.40
7.96
7.54
8.08
8.18
7.85
7.53
7.56
7.56
7.73
7.41
Averaged
Result
ppt
2.87
2.52
0.50
2.19
7.84
DETECTION
LIMIT/* 3
ppt
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
0.3/0.9
SPK
CONG
(ppm)
2
2
2
5
5
5
5
5
5
5
5
5
5
5
5
R%
84.43
166.08
167.97
159.28
150.79
161.55
163.63
157.02
150.60
151.17
151.17
154.57
148.15
Standard
Deviation
0.16
0.27
0.18
0.14
0.34
Relative
Standard
Deviation
5.7
10.9
34.9
6.6
4.3
-------
SERC Mercury Lab / EPA REMAP results
Total Mercury Analysis
: Analysis not performed
: Analysis not required
: Averaged Results
Data Entered by: PMEYER : 3/14/00
Data Entry Checked by: MWB : 3/15/00
Sampling Station
ID
M5-622SWF
M5-623SWF
M5-624SWF
M5-625SWF
M5-626SWF
M5-627SWF
M5-628SWF
M5-631SWF
M5-632SWF
M5-633SWF
M5-635SWF
M5-637SWF
M5-638SWF
M5-639SWF
M5-640SWF
M5-641SWF
M5-642SWF
M5-643SWF
M5-644SWF
M5-646SWF
M5-647SWF
M5-648SWF
M5-649SWF
M5-650SWF
M5-651SWF
M5-653SWF
M5-654SWF
M5-655SWF
M5-656SWF
M5-657SWF
M5-658SWF
M5-659SWF
M5-660SWF
M5-661SWF
M5-662SWF
M5-663SWF
M5-664SWF
M5-665SWF
M5-666SWF
M5-667SWF
M5-668SWF
M5-669SWF
M5-670SWF
M5-672SWF
M5-673SWF
M5-674SWF
M5-675SWF
M5-676SWF
M5-677SWF
M5-678SWF
M5-679SWF
M5-680SWF
M5-681SWF
Matrix
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
Analysis
Method
Collection
Date
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/28/99
09/29/99
09/28/99
09/29/99
09/29/99
09/30/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/27/99
09/28/99
09/27/99
09/27/99
09/29/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/26/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/26/99
09/26/99
09/28/99
09/26/99
09/26/99
09/26/99
09/27/99
09/26/99
Time
11:25
9:15
10:18
12:57
9:08
10:50
17:16
14:14
10:10
11:15
12:16
12:10
16:30
17:15
11:16
16:15
10:11
9:10
11:45
15:15
11:02
13:00
16:20
11:58
14:10
13:00
11:45
10:28
9:00
17:51
17:22
12:05
14:50
8:57
16:10
13:30
11:00
17:10
16:55
13:10
13:07
10:00
8:50
11:00
14:00
10:25
11:30
9:25
13:10
12:13
13:35
9:00
14:10
Digestion
Date
10/18/99
10/18/99
10/14/99
10/19/99
10/15/99
10/15/99
10/01/99
10/01/99
10/15/99
10/12/99
10/14/99
10/06/99
10/01/99
10/15/99
10/15/99
10/01/99
10/07/99
10/06/99
10/18/99
10/14/99
10/06/99
10/15/99
09/29/99
10/15/99
09/29/99
10/15/99
10/15/99
10/14/99
10/15/99
10/04/99
10/01/99
10/15/99
09/29/99
10/01/99
10/15/99
09/29/99
10/06/99
09/28/99
09/29/99
10/08/99
10/06/99
10/15/99
10/12/99
09/29/99
09/28/99
10/01/99
10/15/99
10/14/99
10/06/99
09/28/99
10/06/99
09/29/99
10/14/99
Run
Date
10/19/99
10/19/99
10/14/99
10/20/99
10/18/99
10/18/99
10/04/99
10/04/99
10/15/99
10/13/99
10/14/99
10/07/99
10/04/99
10/18/99
10/15/99
10/04/99
10/08/99
10/07/99
10/19/99
10/14/99
10/07/99
10/15/99
09/30/99
10/15/99
09/30/99
10/15/99
10/18/99
10/14/99
10/18/99
10/05/99
10/04/99
10/15/99
09/30/99
10/04/99
10/18/99
09/30/99
10/07/99
09/29/99
09/30/99
10/11/99
10/07/99
10/18/99
10/13/99
10/01/99
09/29/99
10/04/99
10/15/99
10/14/99
10/07/99
09/29/99
10/07/99
10/01/99
10/14/99
Holding
Time (Days)
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
Time Elapsed
From Dig
18
18
14
19
15
15
2
2
16
13
15
7
2
17
16
3
8
7
18
16
8
17
1
17
1
17
17
16
17
7
3
18
2
2
18
2
9
1
2
12
9
18
15
2
1
5
19
16
10
2
10
2
18
Total Hg
Units (ppt)
7.45
2.16
2.59
2.66
1.59
0.88
2.80
3.06
0.84
2.55
1.63
1.16
2.26
2.8
2.03
1.04
1.53
1.18
2.84
1.4
1.28
3.89
2.45
1.61
1.14
0.66
1.27
0.98
1.4
1.29
1.99
1.31
0.53
2.52
3.56
1.47
1.58
2.16
0.68
0.64
0.97
1.66
1.64
1.60
1.61
-------
Sampling Station
ID
M5-683SWF
M5-684SWF
M5-685SWF
M5-686SWF
M5-687SWF
M5-688SWF
M5-689SWF
M5-690SWF
M5-691SWF
M5-692SWF
M5-693SWF
M5-694SWF
M5-695SWF
M5-697SWF
M5-698SWF
M5-699SWF
M5-700SWF
M5-701SWF
M5-702SWF
M5-703SWF
M5-704SWF
M5-705SWF
M5-706SWF
M5-707SWF
M5-708SWF
M5-709SWF
M5-711SWF
M5-712SWF
M5-714SWF
M5-715SWF
M5-716SWF
M5-718SWF
M5-720SWF
M5-722SWF
M5-723SWF
M5-724SWF
M5-725SWF
M5-726SWF
M5-727SWF
M5-728SWF
M5-729SWF
M5-730SWF
M5-731SWF
M5-732SWF
M5-733SWF
M5-734SWF
M5-735SWF
M5-738SWF
M5-740SWF
M5-741SWF
M5-742SWF
M5-743SWF
M5-745SWF
M5-746SWF
M5-747SWF
Matrix
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
Analysis
Method
Collection
Date
09/26/99
09/26/99
09/26/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
09/26/99
09/25/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/23/99
09/24/99
09/24/99
09/24/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/22/99
09/23/99
09/23/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
Time
8:50
15:30
14:34
9:15
10:35
15:27
12:05
13:50
15:54
12:00
11:39
17:02
14:02
16:37
10:30
16:35
17:50
17:40
9:18
16:55
16:15
17:25
15:55
15:00
9:00
13:30
11:15
9:05
17:15
11:45
13:10
10:30
16:00
16:00
15:00
14:42
13:23
12:30
12:16
13:50
10:27
11:20
17:25
9:17
9:10
15:40
14:10
12:45
15:34
14:18
11:30
11:20
9:48
9:42
Digestion
Date
09/28/99
10/07/99
10/15/99
09/27/99
09/28/99
10/06/99
10/04/99
10/07/99
10/07/99
09/28/99
10/15/99
09/27/99
09/28/99
09/27/99
09/29/99
09/28/99
09/27/99
09/28/99
09/28/99
10/15/99
10/14/99
10/08/99
10/01/99
10/04/99
10/08/99
09/27/99
10/08/99
09/27/99
09/26/99
09/27/99
09/27/99
10/04/99
09/26/99
09/26/99
10/07/99
09/26/99
10/12/99
10/07/99
10/07/99
10/04/99
10/14/99
09/26/99
10/08/99
09/26/99
10/08/99
10/07/99
09/26/99
10/04/99
10/12/99
10/08/99
09/26/99
09/26/99
10/08/99
10/08/99
09/26/99
Run
Date
09/29/99
10/08/99
10/18/99
09/28/99
09/29/99
10/07/99
10/05/99
10/08/99
10/08/99
09/29/99
10/18/99
09/28/99
09/29/99
09/28/99
10/01/99
09/29/99
09/28/99
09/29/99
09/29/99
10/18/99
10/14/99
10/11/99
10/04/99
10/05/99
10/11/99
09/28/99
10/11/99
09/28/99
09/27/99
09/28/99
09/28/99
10/05/99
09/27/99
09/27/99
10/08/99
09/27/99
10/13/99
10/08/99
10/08/99
10/05/99
10/14/99
09/27/99
10/11/99
09/27/99
10/11/99
10/08/99
09/27/99
10/05/99
10/13/99
10/11/99
09/27/99
09/27/99
10/11/99
10/11/99
09/27/99
Holding
Time (Days)
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
Time Elapsed
From Dig
2
11
19
2
3
10
9
12
12
3
20
2
3
1
4
3
2
2
3
21
20
14
7
10
14
3
14
3
3
3
3
10
3
3
14
3
19
14
14
11
21
3
16
3
15
15
4
12
20
16
4
4
16
16
4
Total Hg
Units (ppt)
1.02
1.11
1.03
1.16
1.66
0.76
0.55
1
0.89
0.91
1.36
1.62
1.59
2. .16
0.81
1.75
2.31
0.85
0.85
1.34
1.19
0.65
0.83
1.39
0.65
2.14
1
2.51
1.43
2.99
2.2
0.50
1.45
1.26
0.91
1.51
0.71
0.63
1.06
0.76
1.02
1.2
0.78
1.29
1.49
1.49
1.77
2.87
2.78
2.31
1.64
2.19
1.44
1.88
3.09
QA/QC
Batch ID
HG29IF1
HG08JF1
HG18JF1
HG28IF1
HG29IF1
HG07JF1
HG05JF1
HG08JF1
HG08JF1
HG29IF1
HG18JF1
HG28IF1
HG29IF1
HG28IF1
HG01JF1
HG29IF1
HG28IF1
HG29IF1
HG29IF1
HG18JF1
HG14JF1
BK11JF1
HG04JF1
HG05JF1
BK11JF1
HG28IF1
BK11JF1
HG28IF1
HG27IF1
HG28IF1
HG28IF1
HG05JF1
HG27IF1
HG27IF1
HG08JF1
HG27IF1
HG13JF1
HG08JF1
HG08JF1
HG05JF1
HG14JF1
HG27IF1
BK11JF1
HG27IF1
BK11JF1
HG08JF1
HG27IF1
HG05JF1
HG13JF1
BK11JF1
HG27IF1
HG27IF1
BK11JF1
BK11JF1
HG27IF1
QA Data
%R
129.83
109
104.46
98.01
129.83
0
119
109
109
129.83
104.46
98.01
129.83
98.01
101
129.83
98.01
129.83
129.83
104.46
102.58
96.31
95
119
96.31
98.01
96.31
98.01
96.31
98.01
98.01
105
96.31
96.31
109
96.31
98.65
109
109
119
102.58
96.31
96.31
96.31
96.31
109
96.31
119
98.65
96.31
96.31
96.31
96.31
96.31
96.31
%RSD
23.91
10.59
11.18
18.46
7.01
22.80
26.71
25.30
7.48
15.16
7.58
10.69
9.98
9.24
20.00
11.10
18.46
7.01
10.92
8.34
26.15
29.55
18.03
13.57
31.11
10.57
14.28
13.82
8.91
4.45
18.46
34.92
10.55
12.31
13.86
8.91
8.90
29.12
19.25
6.80
18.31
18.81
17.88
12.40
20.72
14.38
12.05
5.73
4.44
6.60
9.58
8.91
9.14
8.27
9.33
Matrix %R
Notes
-------
Sampling Station
ID
M5-823SWF
M5-828SWF
M5-838SWF
M5-848SWF
M5-859SWF
M5-868SWF
M5-878SWF
M5-890SWF
M5-908SWF
M5-920SWF
M5-932SWF
M5-944SWF
Matrix
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
Analysis
Method
Collection
Date
09/30/99
09/29/99
09/29/99
09/28/99
09/27/99
09/27/99
09/26/99
09/25/99
09/24/99
09/23/99
09/23/99
09/22/99
Time
9:15
17:16
16:30
13:00
12:05
13:07
12:13
13:50
9:00
16:00
9:17
12:24
Digestion
Date
10/19/99
10/04/99
10/15/99
09/29/99
10/15/99
09/29/99
09/27/99
10/15/99
09/27/99
10/12/99
10/12/99
10/12/99
Run
Date
10/20/99
10/05/99
10/15/99
10/01/99
10/15/99
10/01/99
09/28/99
10/15/99
09/28/99
10/13/99
10/13/99
10/13/99
Holding
Time (Days)
8
8
8
8
8
8
8
8
8
8
8
8
Time Elapsed
From Dig
19
5
16
1
18
2
1
20
3
19
19
20
Total Hg
Units (ppt)
3.06
2.53
1.86
3.81
1.43
0.79
1.96
1
1.72
1.14
0.65
1.69
QA/QC
Batch ID
HG20JF1
HG05JF1
HG15JF1
HG01JF1
HG15JF1
HG01JF1
HG28IF1
HG15JF1
HG28IF1
HG13JF1
HG13JF1
HG13JF1
QA Data
%R
0
119
100.35
101
100.35
101
98.01
100.35
98.01
98.65
98.65
98.65
%RSD
14.27
10.87
7.21
6.47
14.03
16.41
12.49
19.04
9.78
8.08
27.72
9.95
Matrix %R
Notes
QA-630-SWF
QA-634-SWF
QA-636-SWF
QA-645-SWF
QA-652-SWF
QA-671-SWF
QA-682-SWF
QA-696-SWF
QA-710-SWF
QA-719-SWF
QA-744-SWF
QA-001-CB1
QA-001-CB2
QA-002-CB1
QA-002-CB2
QA-003-CB1
QA-003-CB2
QA-004-CB1
QA-004-CB2
QA-005-CB1
QA-005-CB2
QA-006-CB1
QA-006-CB2
QA-007-CB1
QA-007-CB2
QA-008-CB1
QA-008-CB2
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
SW
10/18/99
10/18/99
10/18/99
10/19/99
10/18/99
10/19/99
10/19/99
10/19/99
10/18/99
10/18/99
10/19/99
10/05/99
10/05/99
10/05/99
10/05/99
10/05/99
10/05/99
10/05/99
10/11/99
10/11/99
10/11/99
10/11/99
10/11/99
10/11/99
10/11/99
10/11/99
10/11/99
10/19/99
10/19/99
10/19/99
10/20/99
10/19/99
10/20/99
10/20/99
10/20/99
10/19/99
10/19/99
10/20/99
10/06/99
10/06/99
10/06/99
10/06/99
10/06/99
10/06/99
10/06/99
10/12/99
10/12/99
10/12/99
10/12/99
10/12/99
10/12/99
10/12/99
10/12/99
10/12/99
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
2.09
2.08
2.32
3.42
0.8
1.54
1.32
1.5
0.7
1.16
1.58
ND
ND
ND
ND
ND
1.94
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
HG19JF1
HG19JF1
HG19JF1
HG20JF1
HG19JF1
HG20JF1
HG20JF1
HG20JF1
HG19JF1
HG19JF1
HG20JF1
HG06JF1
HG06JF1
HG06JF1
HG06JF1
HG06JF1
HG06JF1
HG06JF1
HG12JF1
HG12JF1
HG12JF1
HG12JF1
HG12JF1
HG12JF1
HG12JF1
HG12JF1
HG12JF1
97.14
97.14
97.14
90.85
97.14
90.85
90.85
90.85
97.14
97.14
90.85
105.74
105.74
105.74
105.74
105.74
105.74
105.74
97.19
97.19
97.19
97.19
97.19
97.19
97.19
97.19
97.19
1.30
1.30
1.30
4.15
1.30
4.15
4.15
4.15
1.30
1.30
4.15
7.05
7.05
7.05
7.05
7.05
7.05
7.05
3.21
3.21
3.21
3.21
3.21
3.21
3.21
3.21
3.21
70.55
70.55
70.55
94.21
70.55
94.21
94.21
94.21
70.55
70.55
94.21
119.09
119.09
119.09
119.09
119.09
119.09
119.09
111.1
111.1
111.1
111.1
111.1
111.1
111.1
111.1
111.1
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-622-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/30/99
10/08/99
10/27/99
X
FW=SW
09/30/99
10/08/99
1 1/22/99
X
FW=SW
09/30/99
10/21/99
10/21/99
X
FW=SW
09/30/99
10/18/99
10/19/99
X
FW=SW
09/30/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.009
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
1.16
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
36.77
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
7.45
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027A
NA
**
All <20 RPD
All Good
6of7CCVGood
0.0006 and > ppm
0.9966
ANTEK 11 -22-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-21-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
0.998
HG19JF1
NA
0.9975
File ID
Yes (FTN Associates)
Yes (FTN Associates)
**
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)11
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M4-622-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers |_
"B (NR)"
X= Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-633-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/29/99
10/08/99
10/27/99
X
FW=SW
09/29/99
10/08/99
1 1/22/99
X
FW=SW
09/29/99
10/21/99
10/21/99
X
FW=SW
09/29/99
10/12/99
10/18/99
X
FW=SW
09/29/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5 ml
10ml
sample aliquot
1
0.031
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
1.94
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
21.02
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
2.55
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027A
NA
**
All <20 RPD
All Good
6of7CCVGood
0.0006 and > ppm
0.9966
ANTEK 11-22-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-21-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
0.998
HG13JF1
NA
0.9994
File ID
Yes (FTN Associates)
Yes (FTN Associates)
**
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)11
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-633-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail) Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers^
"B (NR)"
X= Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-643-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/29/99
10/08/99
10/27/99
X
FW=SW
09/29/99
10/08/99
1 1/22/99
X
FW=SW
09/29/99
10/21/99
10/21/99
X
FW=SW
09/29/99
10/06/99
10/07/99
X
FW=SW
09/29/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.033
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
1.28
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
24.94
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
1.18
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027A
NA
**
All <20 RPD
All Good
6of7CCVGood
0.0006 and > ppm
0.9966
ANTEK 11-22-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-21-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
0.998
HG07JF1
NA
0.9984
File ID
Yes (FTN Associates)
Yes (FTN Associates)
**
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-643-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers |_
"B (NR)"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-653-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/28/99
10/08/99
10/27/99
X
FW=SW
09/30/99
10/08/99
1 1/22/99
X
FW=SW
09/30/99
10/21/99
10/21/99
X
FW=SW
09/30/99
10/15/99
10/15/99
X
FW=SW
09/30/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.074
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
1.86
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
34.31
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
0.66
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027A
NA
**
All <20 RPD
All Good
6of7CCVGood
0.0006 and > ppm
0.9966
ANTEK 11-22-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-21-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
0.998
HG15JF1
NA
0.9975
File ID
Yes (FTN Associates)
Yes (FTN Associates)
**
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
"M"
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-653-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers |_
"B (NR)"
"M"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-663-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/27/99
10/08/99
10/27/99
X
FW=SW
09/27/99
10/08/99
1 1/22/99
X
FW=SW
09/27/99
10/21/99
10/21/99
X
FW=SW
09/27/99
09/29/99
09/30/99
X
FW=SW
09/27/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.0078
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
0.69
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
19.94
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
1.51
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027A
NA
**
All <20 RPD
All Good
6of7CCVGood
0.0006 and > ppm
0.9966
ANTEK 11-20-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-21-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
0.998
HG30F1
NA
0.9986
File ID
Yes (FTN Associates)
Yes (FTN Associates)
**
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-663-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers |_
"B (NR)"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-673-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/27/99
10/08/99
10/27/99
X
FW=SW
09/27/99
10/08/99
1 1/23/99
X
FW=SW
09/27/99
10/21/99
10/21/99
X
FW=SW
09/27/99
09/28/99
09/29/99
X
FW=SW
09/27/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.008
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
0.51
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
18.9
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
1.6
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027B
NA
NR
<20RPD
All Good
All Good
0.0006 and > ppm
0.9964
ANTEK 11-23-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-21-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
0.998
HG29IF1
NA
0.9992
File ID
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-673-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers^ "B (NR)~
"B (NR)"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-683-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/26/99
10/08/99
10/27/99
X
FW=SW
09/26/99
10/08/99
1 1/22/99
X
FW=SW
09/26/99
10/22/99
10/22/99
X
FW=SW
09/26/99
09/28/99
09/29/99
X
FW=SW
09/26/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.0054
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
1.16
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
11.55
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
1.01
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027B
NA
NR
<20RPD
All Good
All Good
0.0006 and > ppm
0.9964
ANTEK 11-23-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-22-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
1.0000
HG29IF1
NA
0.9992
File ID
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-683-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers^ "B (NR)~
"B (NR)"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-693-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/25/99
10/08/99
10/27/99
X
FW=SW
09/25/99
10/08/99
1 1/23/99
X
FW=SW
09/25/99
10/22/99
10/22/99
X
FW=SW
09/25/99
10/15/99
10/18/99
X
FW=SW
09/25/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.0056
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
0.66
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
10.22
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
1.36
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027B
NA
NR
<20RPD
All Good
All Good
0.0006 and > ppm
0.9964
ANTEK 11-23-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-22-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
1.0000
HG18JF1
NA
0.9993
File ID
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-693-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers^ "B (NR)~
"B (NR)"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-703-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/24/99
10/08/99
10/27/99
X
FW=SW
09/24/99
10/08/99
1 1/23/99
X
FW=SW
09/24/99
10/22/99
10/22/99
X
FW=SW
09/24/99
10/15/99
10/18/99
X
FW=SW
09/24/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.0053
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
0.81
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
14.16
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
1.34
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027B
NA
NR
<20RPD
All Good
All Good
0.0006 and > ppm
0.9964
ANTEK 11-23-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-22-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
1.0000
HG18JF1
NA
0.9993
File ID
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-703-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers^ "B (NR)~
"B (NR)"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-714-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/23/99
10/08/99
10/27/99
X
FW=SW
09/23/99
10/08/99
1 1/23/99
X
FW=SW
09/23/99
10/22/99
10/22/99
X
FW=SW
09/23/99
09/26/99
09/27/99
X
FW=SW
09/23/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.0046
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
0.60
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
13.99
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
1.42
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
No
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027B
NA
NR
<20RPD
All Good
All Good
0.0006 and > ppm
0.9964
ANTEK 11-23-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-22-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
1.0000
HG27JF1
NA
0.9983
File ID
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
"H"
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-714-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers^ "B (NR)~
"B (NR)"
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-726-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/23/99
10/08/99
10/27/99
X
FW=SW
09/23/99
10/08/99
1 1/23/99
X
FW=SW
09/23/99
10/22/99
10/22/99
X
FW=SW
09/23/99
10/07/99
10/08/99
X
FW=SW
09/23/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.0051
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
0.40
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
11.5
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
0.63
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
No
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027C
NA
**
All <20 RPD
All Good
All Good
0.0006 and > ppm
0.9957
ANTEK 11-23-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-22-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
1.0000
HG08JF1
NA
0.9996
File ID
Yes (FTN Associates)
Yes (FTN Associates)
**
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
"H"
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-726-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers |_
"B (NR)"
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-738-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/22/99
10/08/99
10/27/99
X
FW=SW
09/22/99
10/08/99
1 1/23/99
X
FW=SW
09/22/99
10/22/99
10/22/99
X
FW=SW
09/22/99
10/04/99
10/05/99
X
FW=SW
09/22/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.005
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
0.22
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
6.33
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
2.87
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
No
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027C
NA
**
All <20 RPD
All Good
All Good
0.0006 and > ppm
0.9957
ANTEK 11-23-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-22-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
0.999
HG05JF1
NA
0.999
File ID
Yes (FTN Associates)
Yes (FTN Associates)
**
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
"H"
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-738-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers |_
"B (NR)"
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-828-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/28/99
10/08/99
10/27/99
X
FW=SW
09/28/99
10/08/99
1 1/23/99
X
FW=SW
09/28/99
10/22/99
10/22/99
X
FW=SW
09/28/99
10/04/99
10/05/99
X
FW=SW
09/28/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.0084
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
0.55
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
18.67
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
2.52
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027C
NA
**
All <20 RPD
All Good
All Good
0.0006 and > ppm
0.9957
ANTEK 11-23-99
NA
NR
< 20 RPD
All Good
All Good
0.03 and >
NA
10-22-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
0.999
HG05JF1
NA
0.999
File ID
Yes (FTN Associates)
Yes (FTN Associates)
**
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)"
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-828-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers |_
"B (NR)"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-944-SWF Surface Water
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
Total P
Total N
TOC
Total Hg
MeHg
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FW=SW
09/22/99
10/08/99
10/27/99
X
FW=SW
09/22/99
02/24/00
02/24/00
X
FW=SW
09/22/99
10/22/99
10/22/99
X
FW=SW
09/22/99
10/12/99
10/13/99
X
FW=SW
09/22/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
5ml
10ml
sample aliquot
1
0.0055
ppm
EPA 365.1
AS
0.0003ppm (O.Olumol/L 97)
Injection Vial
Injection Vial
sample aliquot
1
0.28
ppm
Antek
CB
0.03 ppm
NA
4ml
sample aliquot
1
7.77
ppm
EPA415.1
SB
0.12 ppm
1000 ml
1000 ml
sample aliquot
1
1.69
ppt
EPA 1631
JL
0.3 ppt
Battelle is
the Main Lab
ppt
EPA 1630
0.02 ppt
Yes (FTN Associates)
Yes (FTN Associates)
Yes
Yes (FTN Associates)
Yes (FTN Associates)
No
Yes (FTN Associates)
Yes (FTN Associates)
No
Yes (FTN Associates)
Yes (FTN Associates)
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
EPA1027C
NA
**
All <20 RPD
All Good
All Good
0.0006 and > ppm
0.9957
ANTEK 2-24-00
NA
NR
< 20 RPD
74%
All Good
0.03 and >
NA
10-22-99/TOC-B
NA
All < MDL
All <20 RPD
All Good
All Good
0.12 and >
0.999
HG13JF1
NA
0.9994
File ID
Yes (FTN Associates)
Yes (FTN Associates)
**
Yes (FTN Associates)
Yes (FTN Associates)
"B (NR)", "M", "H"
Yes (FTN Associates)
Yes (FTN Associates)
"H"
Yes (FTN Associates)
Yes (FTN Associates)
** The blanks are reported above MDL, Lab water was used as a blank but, not in the sample digestion process. Procedure has
been corrected to demonstrate samples uncontaminated.
The Battelle lab is the primary lab for MeHg in Surface water.
-------
Station ID M5-944-SWF Surface Water
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Total P
Total N
TOC
Total Hg
MeHg
The Narrative Section will be written after all of the analyses are completed
X
X
X
X
X
X
Not Noted, Refer to Laboratory and SESD SOP
X
X
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
Status Sheet/Run Tracking Log
Internal COC
X
X
X
In Hg lab Area
None
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
uM
X
Yes (FTN Associates)
ppm
X
Yes (FTN Associates)
ppt
South Florida Water Management District (SFWMD)
Spring 99 (60%R) |Fall 98 (68.2%R) Fail| Fall 98 (95%R) Pass
FDEP (9-99)
Fail
Never compared
NA
Validation Criteria
Applied Qualifiers |_
"B (NR)", "M", "H"
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
Water - Battelle
-------
10% Recalculated Results for Methylmercury in Surface Water Analyzed by
Battelle Marine Sciences Laboratory for the September 1999 Wet Season (M5)
Entered by mwb /njs 02/04/00
Checked by: njs 4-13-
Sampling Station
ID
M5-622-SWB
M5-622-SWB (QA-DUP)
M5-635-SWB
Method Blank
Instrument Blank
M5-623-SWB (QA)
M5-623-SWB (QA MS)
M5-623-SWB (QA MSB)
M5-633-SWB (QA)
M5-633-SWB (QA MS)
M5-633-SWB (QA MSB)
Borm-2 (QA-SRM)
StdlSO(QAICV)
Stdl34(QASVS)
Stdl35 (QACCV)
Stdl35 (QACCV)
Std 150 (QACCV)
M5-647-SWB
Method Blank
Instrument Blank
M5-642-SWB (QA)
M5-642-SWB (QA-BUP)
M5-643-SWB (QA)
M5-643-SWB (QA MS)
M5-643-SWB (QA MSB)
M5-656-SWB (QA)
M5-656-SWB (QA MS)
M5-656-SWB (QA MSB)
BORM-2 (SRM)
StdlSO(ICV)
Stdl34(SVS)
StdlSO(CCV)
Stdl34(SVS)
Stdl35(CCV)
StdlSO(CCV)
Stdl34(SVS)
Stdl34(SVS)
BORM-2 (SRM)
Stdl35(CCV)
StdlSO(CCV)
StdlSO(CCV)
StdlSO(CCV)
Battelle
MSL Code
1405-115
1405-115
1405-125
BLK101299
1405-116
1 405-1 16-MS
1 405-1 16-MSB
1405-124
1 405-1 24-MS
1 405-1 24-MSB
1405-135
BLK101399
1405-131
1405-1 31 -BUP
1405-132
1 405-1 32-MS
1 405-1 32-MSB
1405-142
1 405-1 42-MS
1 405-1 42-MSB
Bata Qualifier
Note
QC
Batch
101399MEB
101399MEB
101399MEB
101399MEB
Instrument
Peak
Height
12772
13196
814
304
Distilled
Sample
Volume(ml)
49.402
49.767
50.816
50.721
The Instrument Blanks were performed but, not reported
101399MEB
101399MEB
101399MEB
101399MEB
101399MEB
101399MEB
101399MEB
101399MEB
101399MEB
101399MEB
101399MEB
101399MEB
101499MEB
101499MEB
3215
13100
13576
990
9571
9881
1111
550
49.838
50.830
50.125
50.657
50.015
50.733
49.826
50.428
The Instrument Blanks were performed but, not reported
"M"
"M"
"M"
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
101499MEB
2853
3198
1505
8275
8651
990
9063
8674
50.525
50.757
50.666
50.78
49.660
49.418
49.859
50.325
Volume
Analyzed
(ml)
49.402
49.767
50.816
50.721
49.838
50.830
50.125
50.657
50.015
50.733
0.025
0.025
0.040
0.2
0.100
0.025
49.826
50.428
50.525
50.757
50.666
50.78
49.660
49.418
49.859
50.325
0.025
0.025
0.04
0.025
0.04
0.1
0.025
0.04
0.04
0.025
0.1
0.025
0.025
0.025
Distillation
Correction
Factor
0.890
0.890
0.890
0.890
0.890
0.890
0.890
0.890
0.890
0.890
0.788
0.788
0.788
0.788
0.788
0.788
0.788
0.788
0.788
0.788
Y intercept
492
492
492
492
492
492
492
492
492
492
475
475
475
475
475
475
475
475
475
475
Slope
(factor)
60.6
60.6
60.6
60.6
60.6
60.6
60.6
60.6
60.6
60.6
54
54
54
54
54
54
54
54
54
54
Blank
Correction
Factor
0
0
0
0
o
o
0
o
o
o
0
o
o
o
o
o
o
o
o
o
Hg
Concentration
ng/L
4.61
4.73
0.12
-0.07
1.01
4.60
4.84
0.18
3.37
3.43
4.21
82.5
2.74
290.0
168.5
77.9
0.30
0.03
1.11
1.26
0.48
3.61
3.87
0.245
4.05
3.83
4.11
86.9
0.000
79.8
3.43
157
88.4
1.89
0.000
4.79
173.9
89.2
81.0
94.8
BETECTION
LIMIT
ng/L
0.0226
0.0224
0.0219
0.022
0.0224
0.0219
0.0222
0.022
0.0223
0.022
0.0253
0.0250
0.0249
0.0248
0.0248
0.0248
0.0254
0.0255
0.0252
0.025
TRUE
CONG
3.43
3.48
3.49
3.44
4.47
87.3
3.12
321
161
87.3
3.44
3.51
3.5
3.44
4.47
87.3
3.12
87.3
3.12
161.2
87.3
3.12
3.12
4.47
161.2
87.3
87.3
87.3
%R
104.5
110.0
91.2
94.5
94.2
94.5
87.8
90.3
104.7
89.2
91.0
96.6
108.7
104.2
91.9
99.5
0.0
91.4
109.9
97.4
101.3
60.6
0.0
107.2
107.9
102.2
92.8
108.6
Relative
Percent
Bifference
2.66
5.10
1.93
13.07
6.94
-5.56
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
10 % Recalculated Results for Methylmercury in Surface Water Analyzed by
Battelle Marine Sciences Laboratory for the September 1999 Wet Season (M5)
Entered by mwb /njs 02/04/00
Checked by: njs 4-13-
Sampling Station
ID
M5-659-SWB
M5-669-SWB
Method Blank
Instrument Blank
M5-657-SWB (QA)
M5-657-SWB (QA-DUP)
M5-661-SWB(QA)
M5-661-SWB(QAMS)
M5-661-SWB(QAMSD)
M5-668-SWB (QA)
M5-668-SWB (QA MS)
M5-668-SWB (QA MSB)
Dorm-2 (SRM)
StdlSO(ICV)
Stdl34(SVS)
Stdl34(SVS)
StdlSO(CCV)
StdlSO(CCV)
Stdl35(CCV)
M5-674-SWB
M5-687-SWB
Method Blank
Instrument Blank
M5-684-SWB (QA)
M5-684-SWB (QA-DUP)
M5-675-SWB (QA)
M5-675-SWB (QA MS)
M5-675-SWB (QA MSB)
M5-685-SWB (QA)
M5-685-SWB (QA MS)
M5-685-SWB (QA MSB)
Borm-2 (ICV)
StdlSO(ICV)
Stdl34(SVS)
Stdl34(SVS)
StdlSO(CCV)
Stdl34(SVS)
Stdl34(SVS)
StdlSO(CCV)
StdlSO(CCV)
Battelle
MSL Code
1405-145
1405-155
BLK101499
1405-143
1 405-1 43-BUP
1405-147
1 405-1 47-MS
1405-1 47 -MSB
1405-154
1 405-1 54-MS
1 405-1 54-MSB
1405-1
1405-11
BLK092999
1405-8
1405-8-BUP
1405-2
1405-2-MS
1405-2-MSB
1405-9
1405-9-MS
1405-9-MSB
Bata Qualifier
Note
QC
Batch
101599MEB
101599MEB
101599MEB
Instrument
Peak
Height
783
989
0
Distilled
Sample
Volume(ml)
50.281
50.405
50.462
The Instrument Blanks were performed but, not reported
"M"
101599MEB
101599MEB
101599MEB
101599MEB
101599MEB
101599MEB
101599MEB
101599MEB
101599MEB
101599MEB
101599MEB
101599MEB
101599MEB
101599MEB
101599MEB
093099MEB
093099MEB
093099MEB
474
435
993
8434
7993
939
8969
7107
1551
2838
360
50.556
49.713
50.489
50.745
50.401
50.871
50.332
50.577
50.333
50.878
49.904
The Instrument Blanks were performed but, not reported
"M"
"M"
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
093099MEB
1100
1150
871
12438
12031
607
12073
11462
50.042
49.334
50.331
49.97
49.853
50.496
49.97
49.853
Volume
Analyzed
(ml)
50.281
50.405
50.462
50.556
49.713
50.489
50.745
50.401
50.871
50.332
50.577
0.025
0.025
0.040
0.040
0.025
0.025
0.050
50.333
50.878
49.904
50.042
49.334
50.331
49.97
49.853
50.496
49.97
49.853
0.025
0.050
0.100
0.040
0.050
0.040
0.100
0.050
0.05
Distillation
Correction
Factor
0.838
0.838
0.838
0.838
0.838
0.838
0.838
0.838
0.838
0.838
0.838
0.928
0.928
0.928
0.928
0.928
0.928
0.928
0.928
0.928
0.928
0.928
Y intercept
280
280
280
280
280
280
280
280
280
280
280
455
455
455
455
455
455
455
455
455
455
455
Slope
(factor)
49
49
49
49
49
49
49
49
49
49
49
69.6
69.6
69.6
69.6
69.6
69.6
69.6
69.6
69.6
69.6
69.6
Blank
Correction
Factor
0
0
0
o
o
0
o
o
o
o
o
0
o
0
0
0
0
0
0
0
0
0
Hg
Concentration
ng/L
0.24
0.34
-0.14
0.09
0.08
0.34
3.91
3.73
0.32
4.20
3.29
4.32
90.6
1.37
3.22
90.1
95.4
83.8
0.34
0.73
-0.03
0.20
0.22
0.13
3.71
3.60
0.05
3.60
3.42
4.11
173.7
5.19
1.08
170
2.36
7.92
180.8
174
BETECTION
LIMIT
ng/L
0.0235
0.0235
0.0235
0.0234
0.0238
0.0234
0.0233
0.0235
0.0233
0.0235
0.0234
0.0212
0.021
0.0214
0.0214
0.0217
0.0212
0.0214
0.0214
0.0212
0.0214
0.0214
TRUE
CONG
3.44
3.46
3.47
3.45
4.47
87.3
3.12
3.12
87.3
87.3
80.6
3.51
3.48
3.49
3.5
4.47
174.5
7.79
3.12
174.5
3.12
7.79
174.5
174.5
%R
103.8
97.8
112.1
86.1
96.6
103.8
43.9
103.2
103.2
109.3
104.0
102.1
99.6
101.8
96.3
91.9
99.5
66.6
34.6
97.4
75.6
101.7
103.6
99.7
Relative
Percent
Bifference
-20.69
-4.88
-24.48
8.89
-3.22
-5.17
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
10 % Recalculated Results for Methylmercury in Surface Water Analyzed by
Battelle Marine Sciences Laboratory for the September 1999 Wet Season (M5)
Entered by mwb /njs 02/04/00
Checked by: njs 4-13-00
Sampling Station
ID
M5-699-SWB
M5-699-SWB (QA-DUP)
Method Blank
Instrument Blank
M5-693-SWB (QA)
M5-693-SWB (QA MS)
M5-693-SWB (QA MSB)
M5-703-SWB (QA)
M5-703-SWB(QAMS)
M5-703-SWB(QAMSD)
Dorm-2 (QA CCV)
Stdl34(QACCV)
StdlSO(QACCV)
StdlSO(QACCV)
StdlSO(QACCV)
Stdl35(QACCV)
Stdl35(QACCV)
M5-709-SWB
M5-724-SWB
Method Blank
Instrument Blank
M5-720-SWB (QA)
M5-720-SWB (QA-DUP)
M5-707-SWB (QA)
M5-707-SWB(QAMS)
M5-707-SWB(QAMSD)
M5-712-SWB(QA)
M5-712-SWB(QAMS)
M5-712-SWB(QAMSD)
Dorm-2 (SRM)
StdlSO(ICV)
Stdl34(SVS)
Stdl34(SVS)
StdlSO(CCV)
StdlSO(CCV)
StdlSO(CCV)
StdlSO(CCV)
Battelle
MSL Code
1405-21
1 405-21 -DUP
BLK093099
1405-17
1405-17-MS
1405-17-MSD
1405-25
1405-25-MS
1405-25-MSD
1405-31
1405-41
BLK1 00499
1405-38
1405-38-DUP
1405-29
1405-29-MS
1405-29-MSD
1405-33
1405-33-MS
1405-33-MSD
Data Qualifier
Note
QC
Batch
100199MEB
100199MEB
100199MEB
Instrument
Peak
Height
1313
1305
0
Distilled
Sample
Volume(ml)
50.686
49.514
50.745
The Instrument Blanks were performed but, not reported
100199MEB
100199MEB
100199MEB
100199MEB
100199MEB
100199MEB
100199MEB
100199MEB
100199MEB
100199MEB
100199MEB
100199MEB
100199MEB
100599MEB
100599MEB
100599MEB
798
12026
11747
1333
12023
13908
650
646
0
50.083
49.923
50.018
49.631
50.19
50.062
49.733
49.353
50.825
The Instrument Blanks were performed but, not reported
100599MEB
100599MEB
100599MEB
100599MEB
100599MEB
100599MEB
100599MEB
100599MEB
100599MEB
100599MEB
100599MEB
100599MEB
100599MEB
100599MEB
100599MEB
100599MEB
1177
1144
759
11609
12339
597
9925
8998
49.97
50.399
49.956
49.747
49.529
49.446
50.461
50.369
Volume
Analyzed
(ml)
50.686
49.514
50.745
50.083
49.923
50.018
49.631
50.19
50.062
0.025
0.040
0.05
0.025
0.025
0.050
0.05
49.733
49.353
50.825
49.97
50.399
49.956
49.747
49.529
49.446
50.461
50.369
0.025
0.100
0.040
0.040
0.025
0.025
0.025
0.025
Distillation
Correction
Factor
0.937
0.937
0.937
0.937
0.937
0.937
0.937
0.937
0.937
0.842
0.842
0.842
0.842
0.842
0.842
0.842
0.842
0.842
0.842
0.842
Y intercept
490
490
490
490
490
490
490
490
490
332
332
332
332
332
332
332
332
332
332
332
Slope
(factor)
69.3
69.3
69.3
69.3
69.3
69.3
69.3
69.3
69.3
68.3
68.3
68.3
68.3
68.3
68.3
68.3
68.3
68.3
68.3
68.3
Blank
Correction
Factor
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Hg
Concentration
ng/L
0.25
0.25
-0.1487
0.09
3.56
3.47
0.26
3.54
4.13
4.20
2.71
165.2
88.9
102.4
85.5
85.2
0.11
0.11
-0.11
0.29
0.28
0.15
3.94
4.22
0.09
3.31
2.99
4.22
332
3.66
3.32
85.7
95.7
94.0
86.0
DETECTION
LIMIT
ng/L
0.0209
0.0214
0.0209
0.0211
0.0212
0.0212
0.0213
0.0211
0.0211
0.0237
0.0239
0.0232
0.0236
0.0234
0.0236
0.0237
0.0238
0.0238
0.0233
0.0234
TRUE
CONG
3.51
3.48
3.49
3.5
4.47
3.12
174.5
87.25
87.25
80.6
80.6
3.51
3.52
3.46
3.46
4.47
349
3.12
3.12
87.3
87.3
87.3
87.3
%R
98.7
96.9
93.9
110.5
94.0
87.0
94.7
101.9
117.4
106.1
105.7
108.1
115.5
92.8
83.8
94.4
95.1
117.3
106.4
98.2
109.6
107.7
98.5
Relative
Percent
Difference
1.36
-2.64
15.36
-4.84
6.71
-9.97
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
10 % Recalculated Results for Methylmercury in Surface Water Analyzed by
Battelle Marine Sciences Laboratory for the September 1999 Wet Season (M5)
Entered by mwb /njs 02/04/00
Checked by: njs 4-13-
Sampling Station
ID
M5-734-SWB
Method Blank
Instrument Blank
M5-726-SWB (QA)
M5-726-SWB (QA-DUP)
M5-727-SWB (QA)
M5-727-SWB(QAMS)
M5-727-SWB(QAMSD)
M5-738-SWB (QA)
M5-738-SWB(QAMS)
M5-738-SWB(QAMSD)
Dorm-2 (SRM)
StdlSO(ICV)
Stdl34(SVS)
Stdl34(SVS)
StdlSO(CCV)
StdlSO(CCV)
StdlSO(CCV)
M5-859-SWB
Method Blank
Method Blank
Instrument Blank
M5-823-SWB (QA)
M5-823-SWB (QA-DUP)
QA-636-SWB (QA)
QA-636-SWB (QA-DUP)
M5-672-SWB(QA)
M5-672-SWB (QA MS)
M5-672-SWB (QA MSD)
QA-630-SWB (QA)
QA-630-SWB (QA MS)
QA-630-SWB (QA MSD)
QA-651-SWB(QA)
QA-651-SWB(QAMS)
QA-651-SWB(QAMSD)
Dorm-2 (SRM)
StdlSO(ICV)
Stdl34(SVS)
Stdl34(SVS)
Stdl34(SVS)
StdlSO(CCV)
Stdl35(CCV)
StdlSO(CCV)
Stdl34(SVS)
StdlSO(CCV)
StdlSO(CCV)
StdlSO(CCV)
StdlSO(CCV)
Battelle
MSL Code
1405-51
BLK1 00599
1405-43
1405-43-DUP
1405-44
1405-44-MS
1405-44-MSD
1405-53
1405-53-MS
1405-53-MSD
1405-165
BLK101899-rl
BLK101899-r2
1405-161
1405-1 61 -DUP
1405-171
1405-1 71 -DUP
1405-157
1 405-1 57-MS
1405-1 57 -MSD
1405-169
1 405-1 69-MS
1 405-1 69-MSD
1405-174
1405-174-MS
1 405-1 74-MSD
Data Qualifier
Note
QC
Batch
100699MEB
100699MEB
Instrument
Peak
Height
646
130
Distilled
Sample
Volume(ml)
49.353
49.082
The Instrument Blanks were performed but, not reported
"DQO"
"DQO"
"M"
100699MEB
100699MEB
100699MEB
100699MEB
100699MEB
100699MEB
100699MEB
100699MEB
100699MEB
100699MEB
100699MEB
100699MEB
100699MEB
100699MEB
100699MEB
101999MEB
101999MEB
101999MEB
595
717
521
10222
10097
421
10582
10461
1002
0
211
49.411
49.481
50.22
50.291
50.205
50.223
49.251
49.200
50.384
50.211
49.889
The Instrument Blanks were performed but, not reported
"M"
"M"
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
101999MEB
4296
4413
3031
3069
1587
12483
13752
522
12575
12880
1448
11139
12623
50.069
50.635
50.64
50.649
50.707
50.311
49.238
50.835
50.42
49.737
50.938
50.009
49.971
Volume
Analyzed
(ml)
49.353
49.082
49.411
49.481
50.22
50.291
50.205
50.223
49.251
49.200
0.025
0.025
0.04
0.04
0.025
0.025
0.03
50.384
50.211
49.889
50.069
50.635
50.64
50.649
50.707
50.311
49.238
50.835
50.42
49.737
50.938
50.009
49.971
0.025
0.025
0.040
0.040
0.040
0.025
0.200
0.025
0.040
0.025
0.025
0.025
0.025
Distillation
Correction
Factor
0.841
0.841
0.841
0.841
0.841
0.841
0.841
0.841
0.841
0.841
0.919
0.919
0.919
0.919
0.919
0.919
0.919
0.919
0.919
0.919
0.919
0.919
0.919
0.919
0.919
0.919
Y intercept
305
305
305
305
305
305
305
305
305
305
279
79
52
79
79
52
52
79
79
79
79
79
79
352
352
352
Slope
(factor)
67.3
67.3
67.3
67.3
67.3
67.3
67.3
67.3
67.3
67.3
71.1
71.1
75.6
71.
71.
75.6
75.6
71.
71.
71.
71.
71.
71.
75.6
75.6
75.6
Blank
Correction
Factor
0
0
0
o
o
0
o
o
o
o
0
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
Hg
Concentration
ng/L
0.12
-0.06
0.10
0.15
0.08
3.48
3.45
0.04
3.69
3.65
3.76
95.40
2.32
3.70
89.80
85.30
81.70
0.22
-0.09
-0.04
1.23
1.25
0.76
0.77
0.39
3.71
4.19
0.07
3.73
3.88
0.31
3.10
3.53
4.24
88.6
2.87
2.74
1.94
103
343
88.1
0.0000
90.2
96.3
87.6
93.0
DETECTION
LIMIT
ng/L
0.0235
0.024
0.0239
0.0238
0.0235
0.0235
0.0235
0.0235
0.0239
0.024
0.0214
0.0215
0.0216
0.0216
0.0213
0.0213
0.0213
0.0213
0.0215
0.0219
0.0212
0.0214
0.0217
0.0212
0.0216
0.0216
TRUE
CONG
3.47
3.48
3.54
3.55
4.47
87.3
3.12
3.12
87.3
87.3
87.3
3.47
3.54
3.46
3.51
3.49
3.49
4.47
87.3
3.12
3.12
3.12
87
322
87.3
3.12
87.3
87.3
87.3
87.3
%R
98.2
96.8
103.0
101.6
84.1
109.3
74.4
118.6
102.9
97.7
93.6
95.6
107.1
105.8
108.4
80.1
92.4
94.9
101.5
92.0
87.8
62.2
118.0
106.5
100.9
0.0
103.3
110.3
100.3
106.5
Relative
Percent
Difference
34.62
-1.10
-1.08
1.75
1.39
12.03
3.81
12.95
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
10 % Recalculated Results for Methylmercury in Surface Water Analyzed by
Battelle Marine Sciences Laboratory for the September 1999 Wet Season (M5)
Entered by mwb /njs 02/04/00
Checked by: njs 4-13-
Sampling Station
ID
M5-878-SWB
Method Blank
Instrument Blank
QA-671-SWB(QA)
QA-671-SWB(QA-DUP)
M5-746-SWB (QA)
M5-746-SWB(QAMS)
M5-746-SWB(QAMSD)
M5-920-SWB (QA)
M5-920-.V,',; VMS)
M5-920-SWB (QA MSB)
Dorm-2 (SRM)
StdlSO(ICV)
Stdl34(SVS)
Stdl34(SVS)
StdlSO(CCV)
StdlSO(CCV)
StdlSO(CCV)
StdlSO(CCV)
StdlSO(CCV)
Battelle
MSL Code
1405-61
BLK1 00699
1405-68
1405-68-DUP
1405-59
1405-59-MS
1405-59-MSD
1405-64
1405-64-MS
1405-64-MSD
Data Qualifier
Note
QC
Batch
100799MEB
100799MEB
Instrument
Peak
Height
855
196
Distilled
Sample
Volume(ml)
50.872
50.234
The Instrument Blanks were performed but, not reported
"DQO"
"DQO"
"M"
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
100799MEB
1329
1248
485
10284
10450
1053
10807
8027
50.889
50.196
49.59
50.065
50.408
51.002
49.284
50.317
Volume
Analyzed
(ml)
50.872
50.234
50.889
50.196
49.59
50.065
50.408
51.002
49.284
50.317
0.025
0.025
0.04
0.04
0.025
0.025
0.025
0.025
0.03
Distillation
Correction
Factor
0.777
0.777
0.777
0.777
0.777
0.777
0.777
0.777
0.777
0.777
Y intercept
386
386
386
386
386
386
386
386
386
386
Slope
(factor)
67.4
67.4
67.4
67.4
67.4
67.4
67.4
67.4
67.4
67.4
Blank
Correction
Factor
0
0
0
o
o
0
o
o
o
o
Hg
Concentration
ng/L
0.18
-0.07
0.35
0.33
0.04
3.78
3.81
0.25
4.04
2.90
3.75
99.8
3.00
1.20
69.3
86.8
91.8
88.2
76.5
DETECTION
LIMIT
ng/L
0.0251
0.0254
0.0251
0.0254
0.0257
0.0255
0.0253
0.025
0.0259
0.0254
TRUE
CONG
3.49
3.46
3.54
3.47
4.47
87.3
3.12
3.12
87.3
87.3
87.3
87.3
87.3
%R
107.1
109.1
107.0
76.4
83.9
114.3
96.2
38.5
79.4
99.4
105.2
101.0
87.6
Relative
Percent
Difference
-7.61
0.98
-32.80
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by Battelle
With the 10% Full QA/QC Review
Total Methylmercury in Surface Water
Sampling Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
M5-622-SWB
M5-633-SWB
M5-643-SWB
M5-656-SWB
1405-115
M5-622-SWB
surface water = SW
09/30/99
10/12/99
10/13/99
101399MEB
49.402
49.402
aliquot
1
4.61
ng/L (ppt)
1631/1630
Niewolny
0.0226
1405-124
M5-633-SWB
surface water = SW
09/29/99
10/12/99
10/13/99
101399MEB
50.657
50.657
aliquot
1
0.18
ng/L (ppt)
1631/1630
Niewolny
0.022
1405-132
M5-643-SWB
surface water = SW
09/29/99
10/13/99
10/14/99
101499MEB
50.666
50.666
aliquot
1
0.48
ng/L (ppt)
1631/1630
Niewolny
0.0248
1405-142
M5-656-SWB
surface water = SW
09/28/99
10/13/99
10/14/99
101499MEB
49.418
49.418
aliquot
1
0.245
ng/L (ppt)
1631/1630
Niewolny
0.0255
NR
LIMS
Yes
NR
LIMS
Yes
NR
LIMS
Yes
NR
LIMS
Yes
1405-115
101399MEB
Good
NR
All Good
All Good
All Good
0.0226 and >
0.9989
1405-124
101399MEB
Good
NR
All Good
All Good
All Good
0.022 and >
0.9989
1405-132
101499MEB
Good
NR
All Good
"M"
All Good
0.0248 and >
0.9991
1405-142
101499MEB
Good
NR
All Good
"M"
All Good
0.0255 and >
0.9991
NR
LIMS
NR N
LIMS LII
"]\
R NR
VIS LIMS
A" "M"
"*" Method blank is above the true MDL, but less than 3 times the MDL.
The instrument blanks were performed but, not reported.
-------
M5-622-SWB
M5-633-SWB
M5-643-SWB
M5-656-SWB
Narrative Description (Attached)
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
15 I/Waters
X
X
X
X
X
X
X
X
15 I/Waters
X
X
X
X
X
X
X
X
15 I/Waters
X
X
X
X
X
X
X
X
15 I/Waters
X
X
X
X
X
X
X
X
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
X
NA
X
X
X
X
NA
X
X
X
X
NA
X
X
X
X
NA
X
X
X
ng/L
X
X
ng/L
X
X
ng/L
X
X
ng/L
NR
NR
NR
NR
NR
NR
NR
NR
"M"
"M"
X = Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by Battelle
With the 10% Full QA/QC Review
Total Methylmercury in Surface Water
Sampling Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
M5-661-SWB
M5-672-SWB
M5-684-SWB
M5-693-SWB
1405-147
M5-661-SWB
surface water = SW
09/29/99
10/14/99
10/15/99
101599MEB
50.489
50.489
aliquot
1
0.34
ng/L (ppt)
1631/1630
Niewolny
0.0234
1405-157
M5-672-SWB
surface water = SW
09/27/99
10/18/99
10/19/99
101999MEB
50.707
50.707
aliquot
1
0.39
ng/L (ppt)
1631/1630
Niewolny
0.0213
1405-8
M5-684-SWB
surface water = SW
09/26/99
09/29/99
09/30/99
093099MEB
50.042
50.042
aliquot
1
0.2
ng/L (ppt)
1631/1630
Niewolny
0.0214
1405-17
M5-693-SWB
surface water = SW
09/25/99
09/30/99
10/01/99
100199MEB
50.083
50.083
aliquot
1
0.09
ng/L (ppt)
1631/1630
Niewolny
0.0211
NR
LIMS
Yes
NR
LIMS
Yes
NR
LIMS
Yes
NR
LIMS
Yes
1405-147
101599MEB
Good
NR
All Good
"M"
All Good
0.0234 and >
0.9976
1405-157
101999MEB
Good
NR
All Good
"M"
All Good
0.0213 and >
0.996
1405-8
093099MEB
Good
NR
All Good
"M"
All Good
0.0214 and >
0.99952
1405-17
100199MEB
Good
NR
All Good
All Good
All Good
0. 0211 and >
0.99768
NR
LIMS
"M"
NR N
LIMS LII
"M" "J
R NR
VIS LIMS
A"
"*" Method blank is above the true MDL, but less than 3 times the MDL.
The instrument blanks were performed but, not reported.
-------
M5-661-SWB
M5-672-SWB
M5-684-SWB
M5-693-SWB
Narrative Description (Attached)
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
15 I/Waters
X
X
X
X
X
X
X
X
15 I/Waters
X
X
X
X
X
X
X
X
15 I/Waters
X
X
X
X
X
X
X
X
15 I/Waters
X
X
X
X
X
X
X
X
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
X
NA
X
X
X
X
NA
X
X
X
X
NA
X
X
X
X
NA
X
X
X
ng/L
X
X
ng/L
X
X
ng/L
X
X
ng/L
NR
NR
NR
NR
NR
NR
NR
NR
"M"
"M"
"M"
X= Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria
were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by Battelle
With the 10% Full QA/QC Review
Total Methylmercury in Surface Water
Sampling Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
M5-703-SWB
M5-712-SWB
M5-726-SWB
M5-738-SWB
1405-25
M5-703-SWB
surface water = SW
09/24/99
09/30/99
10/01/99
100199MEB
49.631
49.631
aliquot
1
0.26
ng/L (ppt)
1631/1630
Niewolny
0.0213
1405-33
M5-712-SWB
surface water = SW
09/24/99
10/18/99
10/19/99
100599MEB
49.446
49.446
aliquot
1
0.09
ng/L (ppt)
1631/1630
Niewolny
0.0238
1405-43
M5-726-SWB
surface water = SW
09/23/99
10/05/99
10/06/99
100699MEB
49.411
49.411
aliquot
1
0.1
ng/L (ppt)
1631/1630
Niewolny
0.0239
1405-142
M5-738-SWB
surface water = SW
09/22/99
10/05/99
10/06/99
100699MEB
50.223
50.223
aliquot
1
0.04
ng/L (ppt)
1631/1630
Niewolny
0.0235
NR
LIMS
Yes
NR
LIMS
Yes
NR
LIMS
Yes
NR
LIMS
Yes
1405-25
100199MEB
Good
NR
All Good
All Good
All Good
0.0213 and >
0.99768
1405-33
100599MEB
Good
NR
All Good
All Good
All Good
0.0238 and >
0.9992
1405-43
100699MEB
Good
NR
34.62
"M"
All Good
0.0239 and >
0.9978
1405-142
100699MEB
Good
NR
34.62
"M"
All Good
0.0235 and >
1.9978
NR
LIMS
NR
LIMS
NR
LIMS
"M", "DQO"
NR
LIMS
"M", "DQO"
"*" Method blank is above the true MDL, but less than 3 times the MDL.
The instrument blanks were performed but, not reported.
-------
M5-703-SWB
M5-712-SWB
M5-726-SWB
M5-738-SWB
Narrative Description (Attached)
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
15 I/Waters
X
X
X
X
X
X
X
X
15 I/Waters
X
X
X
X
X
X
X
X
15 I/Waters
X
X
X
X
X
X
X
X
15 I/Waters
X
X
X
X
X
X
X
X
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
X
NA
X
X
X
X
NA
X
X
X
X
NA
X
X
X
X
NA
X
X
X
ng/L
X
X
ng/L
X
X
ng/L
X
X
ng/L
NR
NR
NR
NR
NR
NR
NR
NR
"M", "DQO"
"M", "DQO"
X= Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria
were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by Battelle
With the 10% Full QA/QC Review
Total Methylmercury in Surface Water
Sampling Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Data Entry Checked by Another
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Data Entry Checked by Another
All Calculation Checked
QC Limits Met
Notes
M5-823-SWB
M5-920-SWB
1405-161
M5-823-SWB
surface water = SW
09/30/99
10/18/99
10/19/99
101999MEB
50.069
50.069
aliquot
1
1.25
ng/L (ppt)
1631/1630
Niewolny
0.0216
1405-68
M5-920-SWB
surface water = SW
09/23/99
10/06/99
10/07/99
100799MEB
51.002
50.002
aliquot
1
0.25
ng/L (ppt)
1631/1630
Niewolny
0.025
NR
LIMS
Yes
NR
LIMS
Yes
1405-161
101999MEB
Good
NR
All Good
"M"
All Good
0.0216 and >
0.9976
1405-68
100799MEB
Good
NR
-32.8
"M"
All Good
0.025 and >
0.9981
NR
LIMS
"M"
NR
LIMS
"M", "DQO"
*" Method blank is above the true MDL, but less than 3 times the MDL.
The instrument blanks were performed but, not reported.
-------
M5-823-SWB
M5-920-SWB
Narrative Description (Attached)
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
15 I/Waters
X
X
X
X
X
X
X
X
15 I/Waters
X
X
X
X
X
X
X
X
X
X
NR
X
X
X
NR
X
X
NR
X
X
X
NR
X
X
X
NA
X
X
X
X
NA
X
X
X
ng/L
X
X
ng/L
NR
NR
NR
NR
"M"
"M", "DQO"
X = Attached or Verified
Data Qualifiers
"J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
Soil - SERC
-------
SERC Lab / EPA REMAP results
Mineral Content and Ash Free Dry Weight
Date: 12/(K"">
Sample Type: Sediment
Data Entered by LCL 03/16/00
Data Entry Checked by: NJS 3-17-00
o Inorganic Content
% Organic Content
Sample ID
M5-622-SDF
M5-623-SDF
M5-624-SDF
M5-625-SDF
M5-626-SDF
M5-627-SDF
M5-628-SDF
M5-630-SDF
M5-631-SDF
M5-632-SDF
M5-633-SDF
M5-634-SDF
M5-635-SDF
M5-636-SDF
M5-637-SDF
M5-638-SDF
M5-639-SDF
M5-640-SDF
M5-641-SDF
M5-642-SDF
M5-643-SDF
M5-644-SDF
M5-645-SDF
M5-646-SDF
M5-647-SDF
M5-648-SDF
M5-649-SDF
M5-650-SDF
M5-651-SDF
M5-652-SDF
M5-653-SDF
M5-654-SDF
M5-655-SDF
M5-656-SDF
M5-657-SDF
M5-658-SDF
M5-659-SDF
M5-660-SDF
M5-661-SDF
M5-662-SDF
M5-663-SDF
M5-664-SDF
M5-665-SDF
M5-666-SDF
M5-667-SDF
M5-668-SDF
M5-669-SDF
M5-670-SDF
M5-671-SDF
M5-672-SDF
M5-673-SDF
M5-674-SDF
M5-675-SDF
M5-676-SDF
M5-677-SDF
Collection
Date
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/29/99
09/28/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/28/99
09/29/99
09/28/99
09/29/99
09/29/99
09/30/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/27/99
09/28/99
09/27/99
09/27/99
09/29/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/26/99
09/27/99
09/27/99
09/26/99
09/26/99
09/28/99
09/26/99
Collection
Time
1125
915
1018
1257
908
1050
1716
1520
1414
1010
1115
1510
1216
1405
1210
1630
1715
1116
1615
1011
910
1145
1447
1515
1102
1300
1620
1158
1410
959
1300
1145
1028
900
1751
1722
1205
1450
857
1610
1330
1100
1710
1655
1545
1207
1000
850
850
1100
1400
1025
1130
925
1310
Digestion
Date
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/09/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
Hold Time
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Time Since
Digestion
70
70
70
70
70
70
71
72
71
71
71
71
71
71
71
71
72
71
72
71
71
70
72
72
72
72
72
72
72
72
72
72
72
72
73
72
73
73
71
73
73
73
73
73
73
73
73
73
78
77
77
78
78
76
78
Technician
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
CB/SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
Vial
Weight
(g)
1.0034
1
0.9994
0.9969
0.9896
0.9871
0.9907
0.9974
0.9972
0.9953
0.9941
1.0032
1.0006
0.9976
0.995
0.9918
0.9997
1.0028
1.0046
1.006
0.9976
1.0065
0.9986
0.9981
1.0001
1.0013
1.0003
1.003
1.0073
1.0057
1.0026
1.0011
0.9973
0.9973
1.0034
1.0033
1.0063
1.0032
1.0034
1.005
1.0064
1.0033
1.0025
1.0046
1.0034
1.0006
0.9997
1.0051
0.9971
1.0043
1.0126
1.0143
1.0121
1.011
1.0056
Sample Weight
(g)
0.0257
0.0247
0.025
0.0251
0.0254
0.0252
0.0248
0.0261
0.0247
0.0246
0.0247
0.025
0.0259
0.0254
0.0263
0.0253
0.0255
0.0245
0.0248
0.025
0.0248
0.025
0.0251
0.0252
0.0254
0.0248
0.0251
0.0248
0.0258
0.0256
0.0252
0.0243
0.0259
0.0259
0.0254
0.0257
0.0246
0.0245
0.0251
0.0248
0.0251
0.0248
0.0252
0.0251
0.247
0.0245
0.0254
0.0251
0.0251
0.0245
0.0248
0.0255
0.0251
0.0256
0.0255
Dried Cup +
Sed (g)
1.0192
1.0013
1.0009
0.9978
0.9912
0.988
0.9922
1.0003
0.9976
1.002
0.9972
1.0065
1.0017
0.9994
1.0009
0.9978
1.004
1.0048
1.0136
1.0085
1.0091
1.0022
1.0024
1.0023
1.0027
1.0041
1.0039
1.0056
1.0194
1.0089
1.0238
1.0039
1.003
1.0051
1.0094
1.0052
1.0115
1.0145
1.0106
1.0064
1.0141
1.0133
1.0058
1.0073
1.0066
1.004
1.0026
1.0119
1.0023
1.0056
1.0293
1.0159
1.0144
1.0137
1.0083
Ashed Sed.
(g)
0.0158
0.0013
0.0015
0.0009
0.0016
0.0009
0.0015
0.0029
0.0004
0.0067
0.0031
0.0033
0.0011
0.0018
0.0059
0.0060
0.0043
0.0020
0.0090
0.0025
0.0115
-0.0043
0.0038
0.0042
0.0026
0.0028
0.0036
0.0026
0.0121
0.0032
0.0212
0.0028
0.0057
0.0078
0.0060
0.0019
0.0052
0.0113
0.0072
0.0014
0.0077
0.0100
0.0033
0.0027
0.0032
0.0034
0.0029
0.0068
0.0052
0.0013
0.0167
0.0016
0.0023
0.0027
0.0027
Mineral
Content
(Fraction)
0.6148
0.0526
0.0600
0.0359
0.0630
0.0357
0.0605
0.1111
0.0162
0.2724
0.1255
0.1320
0.0425
0.0709
0.2243
0.2372
0.1686
0.0816
0.3629
0.1000
0.4637
-0.1720
0.1514
0.1667
0.1024
0.1129
0.1434
0.1048
0.4690
0.1250
0.8413
0.1152
0.2201
0.3012
0.2362
0.0739
0.2114
0.4612
0.2869
0.0565
0.3068
0.4032
0.1310
0.1076
0.0130
0.1388
0.1142
0.2709
0.2072
0.0531
0.6734
0.0627
0.0916
0.1055
0.1059
°/o Mineral
Content
61.5
5.3
6.0
3.6
6.3
3.6
6.0
11.1
1.6
27.2
12.6
13.2
4.2
7.1
22.4
23.7
16.9
8.2
36.3
10.0
46.4
-17.2
15.1
16.7
10.2
11.3
14.3
10.5
46.9
12.5
84.1
11.5
22.0
30.1
23.6
7.4
21.1
46.1
28.7
5.6
30.7
40.3
13.1
10.8
1.3
13.9
11.4
27.1
20.7
5.3
67.3
6.3
9.2
10.5
10.6
Ash Free
Dry
Weight
0.3852
0.9474
0.9400
0.9641
0.9370
0.9643
0.9395
0.8889
0.9838
0.7276
0.8745
0.8680
0.9575
0.9291
0.7757
0.7628
0.8314
0.9184
0.6371
0.9000
0.5363
1.1720
0.8486
0.8333
0.8976
0.8871
0.8566
0.8952
0.5310
0.8750
0.1587
0.8848
0.7799
0.6988
0.7638
0.9261
0.7886
0.5388
0.7131
0.9435
0.6932
0.5968
0.8690
0.8924
0.9870
0.8612
0.8858
0.7291
0.7928
0.9469
0.3266
0.9373
0.9084
0.8945
0.8941
% Ash Free Dry
Weight Content
38.5
94.7
94.0
96.4
93.7
96.4
94.0
88.9
98.4
72.8
87.4
86.8
95.8
92.9
77.6
76.3
83.1
91.8
63.7
90.0
53.6
117.2
84.9
83.3
89.8
88.7
85.7
89.5
53.1
87.5
15.9
88.5
78.0
69.9
76.4
92.6
78.9
53.9
71.3
94.4
69.3
59.7
86.9
89.2
98.7
86.1
88.6
72.9
79.3
94.7
32.7
93.7
90.8
89.5
89.4
-------
Sample ID
M5-678-SDF
M5-679-SDF
M5-680-SDF
M5-681-SDF
M5-682-SDF
M5-683-SDF
M5-684-SDF
M5-685-SDF
M5-686-SDF
M5-687-SDF
M5-688-SDF
M5-689-SDF
M5-690-SDF
M5-691-SDF
M5-692-SDF
M5-693-SDF
M5-694-SDF
M5-695-SDF
M5-696-SDF
M5-697-SDF
M5-698-SDF
M5-699-SDF
M5-700-SDF
M5-701-SDF
M5-702-SDF
M5-703-SDF
M5-704-SDF
M5-705-SDF
M5-706-SDF
M5-707-SDF
M5-708-SDF
M5-709-SDF
M5-708D-SDF
M5-709D-SDF
M5-710-SDF
M5-711-SDF
M5-712-SDF
M5-714-SDF
M5-715-SDF
M5-716-SDF
M5-718-SDF
M5-719-SDF
M5-720-SDF
M5-722-SDF
M5-723-SDF
M5-724-SDF
M5-725-SDF
M5-726-SDF
M5-727-SDF
M5-728-SDF
M5-729-SDF
M5-730-SDF
M5-731-SDF
M5-732-SDF
M5-733-SDF
M5-734-SDF
M5-735-SDF
M5-738-SDF
M5-740-SDF
M5-741-SDF
M5-742-SDF
M5-743-SDF
M5-744-SDF
Collection
Date
09/26/99
09/26/99
09/27/99
09/26/99
09/26/99
09/26/99
09/26/99
09/26/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
09/26/99
09/25/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/23/99
09/24/99
09/24/99
09/24/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/22/99
09/23/99
09/23/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
Collection
Time
1213
1335
900
1410
1615
850
1530
1434
915
1035
1527
1205
1350
1554
1200
1139
1702
1400
1510
1637
1030
1635
1750
1740
918
1655
1615
1725
1555
1500
900
1330
900
1330
1430
1115
905
1715
1145
1310
1030
1715
0
1600
1500
1442
1323
1230
1216
1350
1027
1120
1725
917
910
1540
1700
1410
1245
1534
1418
1130
1224
Digestion
Date
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/13/99
2/14/99
2/14/99
2/14/99
2/14/99
2/14/99
2/14/99
2/14/99
2/14/99
2/14/99
2/14/99
2/14/99
2/14/99
2/14/99
2/14/99
2/15/99
2/14/99
2/14/99
2/14/99
2/14/99
2/15/99
2/14/99
2/14/99
2/15/99
Hold Time
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Time Since
Digestion
78
78
77
78
78
78
78
78
79
79
78
79
79
79
79
79
79
79
79
78
79
79
79
78
79
80
80
80
80
80
80
80
80
80
80
80
80
81
80
80
81
82
82
82
82
82
82
82
82
82
82
82
83
82
83
83
83
83
83
84
83
83
84
Technician
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
SLH/JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
Vial
Weight
(g)
1.0054
1.001
1.003
0.9994
1.006
.0062
.0088
.0074
.0068
.0087
.0116
1.013
.0104
.0141
.0156
.0204
.0213
0.9956
0.9917
0.9943
0.9993
0.9962
0.9998
.0216
.0195
.0196
.0208
.0217
.0217
.0193
.0147
.0139
.0145
.0179
.0077
.0086
.0158
.0136
.0098
.0087
.0095
.0134
.0152
.0181
.0206
.0269
.0302
.0304
.0312
.0279
.0239
.0229
0.9909
0.9889
0.9923
0.9872
0.988
1.0042
1.0026
0.9904
0.9919
0.9957
0.987
Sample Weight
(g)
0.0252
0.0248
0.0249
0.0255
0.0255
0.0248
0.0258
0.0249
0.0257
0.0246
0.0254
0.025
0.0257
0.0247
0.0247
0.0259
0.0245
0.0255
0.0257
0.0245
0.0251
0.0251
0.0251
0.0254
0.0254
0.0251
0.0246
0.0257
0.0253
0.0246
0.0253
0.0256
0.0247
0.0254
0.0253
0.0246
0.025
0.0253
0.0248
0.0246
0.0248
0.0255
0.0246
0.025
0.0255
0.0247
0.0251
0.0254
0.0246
0.0253
0.0247
0.0255
0.0256
0.0253
0.0245
0.0257
0.0252
0.025
0.0251
0.0248
0.0254
0.025
0.0252
Dried Cup +
Sed (g)
1.0073
1.0045
1.0057
1.004
1.0122
1.009
1.0137
1.0092
1.0095
1.0108
1.0131
1.0174
1.0129
1.0156
1.0177
1.0255
1.0233
1.005
0.9951
0.9977
1.0016
0.9991
1.0044
1.0251
1.0338
1.0372
1.032
1.0244
1.0386
1.0324
1.0202
1.0327
1.0212
1.0365
1.0244
1.014
1.0321
1.0275
1.0265
1.0167
1.0263
1.0284
1.0297
1.0335
1.0394
1.0323
1.0444
1.0343
1.0476
1.0439
1.0388
1.0255
1.0071
0.9968
1.0059
0.9953
1.0057
1.0171
1.019
1.0074
1.0116
1.0124
0.9941
Ashed Sed.
(g)
0.0019
0.0035
0.0027
0.0046
0.0062
0.0028
0.0049
0.0018
0.0027
0.0021
0.0015
0.0044
0.0025
0.0015
0.0021
0.0051
0.0020
0.0094
0.0034
0.0034
0.0023
0.0029
0.0046
0.0035
0.0143
0.0176
0.0112
0.0027
0.0169
0.0131
0.0055
0.0188
0.0067
0.0186
0.0167
0.0054
0.0163
0.0139
0.0167
0.0080
0.0168
0.0150
0.0145
0.0154
0.0188
0.0054
0.0142
0.0039
0.0164
0.0160
0.0149
0.0026
0.0162
0.0079
0.0136
0.0081
0.0177
0.0129
0.0164
0.0170
0.0197
0.0167
0.0071
Mineral
Content
(Fraction)
0.0754
0.1411
0.1084
0.1804
0.2431
0.1129
0.1899
0.0723
0.1051
0.0854
0.0591
0.1760
0.0973
0.0607
0.0850
0.1969
0.0816
0.3686
0.1323
0.1388
0.0916
0.1155
0.1833
0.1378
0.5630
0.7012
0.4553
0.1051
0.6680
0.5325
0.2174
0.7344
0.2713
0.7323
0.6601
0.2195
0.6520
0.5494
0.6734
0.3252
0.6774
0.5882
0.5894
0.6160
0.7373
0.2186
0.5657
0.1535
0.6667
0.6324
0.6032
0.1020
0.6328
0.3123
0.5551
0.3152
0.7024
0.5160
0.6534
0.6855
0.7756
0.6680
0.2817
% Mineral
Content
7.5
14.1
10.8
18.0
24.3
11.3
19.0
7.2
10.5
8.5
5.9
17.6
9.7
6.1
8.5
19.7
8.2
36.9
13.2
13.9
9.2
11.6
18.3
13.8
56.3
70.1
45.5
10.5
66.8
53.3
21.7
73.4
27.1
73.2
66.0
22.0
65.2
54.9
67.3
32.5
67.7
58.8
58.9
61.6
73.7
21.9
56.6
15.4
66.7
63.2
60.3
10.2
63.3
31.2
55.5
31.5
70.2
51.6
65.3
68.5
77.6
66.8
28.2
Ash Free
Dry
Weight
0.9246
0.8589
0.8916
0.8196
0.7569
0.8871
0.8101
0.9277
0.8949
0.9146
0.9409
0.8240
0.9027
0.9393
0.9150
0.8031
0.9184
0.6314
0.8677
0.8612
0.9084
0.8845
0.8167
0.8622
0.4370
0.2988
0.5447
0.8949
0.3320
0.4675
0.7826
0.2656
0.7287
0.2677
0.3399
0.7805
0.3480
0.4506
0.3266
0.6748
0.3226
0.4118
0.4106
0.3840
0.2627
0.7814
0.4343
0.8465
0.3333
0.3676
0.3968
0.8980
0.3672
0.6877
0.4449
0.6848
0.2976
0.4840
0.3466
0.3145
0.2244
0.3320
0.7183
% Ash Free Dry
Weight Content
92.5
85.9
89.2
82.0
75.7
88.7
81.0
92.8
89.5
91.5
94.1
82.4
90.3
93.9
91.5
80.3
91.8
63.1
86.8
86.1
90.8
88.4
81.7
86.2
43.7
29.9
54.5
89.5
33.2
46.7
78.3
26.6
72.9
26.8
34.0
78.0
34.8
45.1
32.7
67.5
32.3
41.2
41.1
38.4
26.3
78.1
43.4
84.6
33.3
36.8
39.7
89.8
36.7
68.8
44.5
68.5
29.8
48.4
34.7
31.5
22.4
33.2
71.8
-------
Sample ID
M5-745-SDF
M5-746-SDF
M5-747-SDF
M5-823-SDF
M5-828-SDF
M5-838-SDF
M5-848-SDF
M5-859-SDF
M5-868-SDF
M5-878-SDF
M5-890-SDF
M5-908-SDF
M5-920-SDF
M5-932-SDF
M5-944-SDF
Collection
Date
09/22/99
09/22/99
09/22/99
09/30/99
09/29/99
09/29/99
09/28/99
09/28/99
09/27/99
09/26/99
09/25/99
09/24/99
09/23/99
09/23/99
09/22/99
Collection
Time
1120
948
942
0
0
0
0
0
0
0
0
0
0
0
1224
Digestion
Date
2/15/99
2/14/99
2/14/99
2/14/99
2/15/99
2/14/99
2/14/99
2/14/99
2/14/99
2/14/99
2/15/99
2/14/99
2/14/99
2/15/99
2/14/99
Hold Time
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Time Since
Digestion
84
83
83
75
77
76
77
77
78
79
81
81
82
83
83
Technician
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
JL
Vial
Weight
(g)
0.9821
1.0016
1.0022
1.0002
0.9842
1.0004
0.9988
0.9994
1.0013
0.9835
0.9859
0.9869
0.9891
0.9881
1.0031
Sample Weight
(g)
0.025
0.0253
0.0256
0.0252
0.0254
0.0257
0.025
0.0256
0.0254
0.0253
0.0253
0.0257
0.0254
0.0255
0.0249
Dried Cup +
Sed (g)
0.9981
1.0163
1.0226
1.0023
0.9856
1.005
1.0016
1.0044
1.0038
0.9851
0.9882
0.9933
1.002
0.9955
1.0085
Ashed Sed.
(g)
0.0160
0.0147
0.0204
0.0021
0.0014
0.0046
0.0028
0.0050
0.0025
0.0016
0.0023
0.0064
0.0129
0.0074
0.0054
Mineral
Content
(Fraction)
0.6400
0.5810
0.7969
0.0833
0.0551
0.1790
0.1120
0.1953
0.0984
0.0632
0.0909
0.2490
0.5079
0.2902
0.2169
% Mineral
Content
64.0
58.1
79.7
8.3
5.5
17.9
11.2
19.5
9.8
6.3
9.1
24.9
50.8
29.0
21.7
Ash Free
Dry
Weight
0.3600
0.4190
0.2031
0.9167
0.9449
0.8210
0.8880
0.8047
0.9016
0.9368
0.9091
0.7510
0.4921
0.7098
0.7831
% Ash Free Dry
Weight Content
36.0
41.9
20.3
91.7
94.5
82.1
88.8
80.5
90.2
93.7
90.9
75.1
49.2
71.0
78.3
R:\wp_files\2110-247Veport\pdf\Final Draft\Appendix QSeptember 1999 DR\[afdw-bd.xls]AFDW SOIL
-------
10 % Recalculated Results for Methylmercury in Soil Samples Analyzed by
Florida International University Laboratory for the September 1999 Wet Season (M5)
Entered by mwb 4-11 -00
Sampling Station
ID
M5-622-SDF-A
M5-622-SDF-B
M5-622-SDF-C
M5-622-SDF-D
Blank-1
Blank-2
ccv
M5-633-SDF-A
M5-633-SDF-B
M5-633-SDF-C
M5-633-SDF-D
Blank-1
Blank-2
ccv
ccv
M5-643-SDF-A
M5-643-SDF-B
M5-643-SDF-C
M5-643-SDF-D
Blank-1
Blank-2
ccv
Data Qualifier
Note
"M"
M"
"M"
M'
QC
Batch
022100a
0221 OOa
0221 OOa
0221 OOa
0221 OOa
0221 OOa
0221 OOa
032000b
032000b
032000b
032000b
032000b
032000b
032000b
032000b
0221 OOb
0221 OOb
0221 OOb
0221 OOb
0221 OOb
0221 OOb
0221 OOb
Wet
Sample
Weight (g)
4.495
4.606
4.538
4.317
4.537
4.922
4.963
4.842
5.477
4.590
4.550
4.760
Diy/Wet
Weight
Ratio
0.021
0.021
0.021
0.021
0.123
0.123
0.123
0.123
0.250
0.250
0.250
0.250
First
Extraction
Volume(ml)
4.2
4.2
4.2
4.2
3.8
4.0
3.4
3.6
3.6
4.0
4.0
4.0
3.2
3.0
3.0
3.0
3.0
4.0
Back
Extraction
Volume(ml)
0.6
0.6
0.6
0.6
0.8
0.8
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
Final
Extraction
Volume(ul)
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
Spiked
Concentration
(ng/g)
7.87
8.27
2.50
1.23
1.26
3.75
3.75
0.66
0.63
2.50
MeHg
Peak
Area
7.70
9.92
11.05
14.34
0.00
0.00
6.880
12.76
15.07
15.76
0.00
0.00
6.590
7.740
14.80
12.96
16.67
19.58
0.00
0.00
10.04
Y intercept
0.62
0.62
0.62
0.62
0.62
0.62
0.62
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.61
0.61
0.61
0.61
0.61
0.61
0.61
Slope
2.36
2.36
2.36
2.36
2.36
2.36
2.36
2.44
2.44
2.44
2.44
2.44
2.44
2.44
2.44
3.20
3.20
3.20
3.20
3.20
3.20
3.20
MeHg
Concentration
(ng/g)
13.72
17.24
19.50
26.60
0.00
0.00
2.92
0.00
4.00
4.68
4.52
0.00
0.00
2.70
3.17
1.76
1.96
2.54
2.86
3.14
AVE
MeHg Cone.
(ng/g)
15.48
23.05
4.00
4.60
1.86
2.70
%RPD
-22.8
-30.8
NA
3.6
-10.8
-11.6
MR
73.45
113.09
116.61
NA
48.38
72.02
84.59
118.94
142.19
125.50
AVE
%R
93.27
48.38
130.56
Final
Result
ng/g
16.60
8.27
1.42
Data Qualifiers
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
10 % Recalculated Results for Methylmercury in Soil Samples Analyzed by
Florida International University Laboratory for the September 1999 Wet Season (M5)
Entered by mwb 02/02/00
Sampling Station
ID
M5-653-SDF-A
M5-653-SDF-B
M5-653-SDF-C
M5-653-SDF-D
Blank-1
Blank-2
ccv
M5-663-SDF-A
M5-663-SDF-B
M5-663-SDF-C
M5-663-SDF-D
Blank-1
Blank-2
ccv
ccv
M5-673-SDF-A
M5-673-SDF-B
M5-673-SDF-C
M5-673-SDF-D
Blank-1
Blank-2
ccv
ccv
M5-683-SDF-A
M5-683-SDF-B
M5-683-SDF-C
M5-683-SDF-D
Blank-1
Blank-2
ccv
Data Qualifier
Note
"DQO (KR)11
"M"
M"
"M"
M'
"DQO"
"M"
M'
"DQO11
QC
Batch
22800
22800
22800
22800
22800
22800
22800
022500b
022500b
022500b
022500b
022500b
022500b
022500b
022500b
0221 OOa
0221 OOa
0221 OOa
0221 OOa
0221 OOa
0221 OOa
0221 OOa
0221 OOa
30300a
30300a
30300a
30300a
30300a
30300a
30300a
Wet
Sample
Weight (g)
6.060
5.583
6.381
5.437
5.209
4.609
5.109
4.830
5.076
4.834
4.997
5.058
5.186
4.518
4.524
5.182
Diy/Wet
Weight
Ratio
0.447
0.447
0.447
0.447
0.125
0.125
0.125
0.125
0.202
0.202
0.202
0.202
0.0868
0.0868
0.0868
0.0868
First
Extraction
Volume(ml)
2.6
2.6
2.8
2 2
4.0
4.0
3.8
4.0
4.0
3.2
3.8
4.0
4.0
4.2
4.0
3.6
4.4
4.0
4.0
3.2
4.0
4.0
3.2
4.0
Back
Extraction
Volume(ml)
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
Final
Extraction
Volume(ul)
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
Spiked
Concentration
(ng/g)
0.26
0.31
1.17
1.24
2.50
2.50
0.74
0.73
2.50
2.50
1.91
1.67
2.50
MeHg
Peak
Area
2.17
9.87
6.94
0.00
0.00
6.77
5.78
8.33
6.97
0.00
0.00
8.480
7.050
6.97
6.52
8.13
7.41
0.00
0.00
6.060
6.880
1.54
0.84
7.60
7.58
0.00
0.00
9.310
Y intercept
-0.02
-0.02
-0.02
-0.02
-0.02
-0.02
0.13
0.13
0.13
0.13
0.13
0.13
0.13
0.13
0.52
0.52
0.52
0.52
0.52
0.52
0.52
0.52
0.45
0.45
0.45
0.45
0.45
0.45
0.45
Slope
5.90
5.90
5.90
5.90
5.90
5.90
3.02
3.02
3.02
3.02
3.02
3.02
3.02
3.02
1.99
1.99
1.99
1.99
1.99
1.99
1.99
1.99
2.66
2.66
2.66
2.66
2.66
2.66
2.66
MeHg
Concentration
(ng/g)
0.00
0.09
0.35
0.37
0.00
0.00
1.51
1.38
1.80
1.99
0.00
0.00
2.81
2.33
1.42
1.33
1.69
1.69
0.00
0.00
3.05
3.46
0.54
0.42
3.03
2.64
0.00
0.00
3.50
0.09
0.36
1.45
1.90
1.38
1.69
0.48
2.84
%RPD
NA
-4.9
8.7
-10.1
6.7
0.0
24.4
13.8
%R
NA
87.80
24.75
48.94
112.32
93.38
35.56
48.74
121.81
138.29
130.67
132.95
140.00
AVE
%R
87.80
36.84
42.15
131.81
Final
Result
ng'g
0.11
3.93
3.27
0.36
Data Qualifiers
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
10 % Recalculated Results for Methylmercury in Soil Samples Analyzed by
Florida International University Laboratory for the September 1999 Wet Season (M5)
Entered by mwb 4-11 -00
Sampling Station
ID
M5-693-SDF-A
M5-693-SDF-B
M5-693-SDF-C
M5-693-SDF-D
Blank-1
Blank-2
ccv
M5-703-SDF-A
M5-703-SDF-B
M5-703-SDF-C
M5-703-SDF-D
Blank-1
Blank-2
ccv
ccv
M5-714-SDF-A
M5-714-SDF-B
M5-714-SDF-C
M5-714-SDF-D
Blank-1
Blank-2
ccv
Data Qualifier
Note
"DQO"
"M"
"M"
"DQO"
"DQO"
"M"
"DQO (KR)11
"DQO (KR)11
"M"
"M"
"DQO (KR)11
QC
Batch
30300b
30300b
30300b
30300b
30300b
30300b
30300b
030700a
030700a
030700a
030700a
030700a
030700a
030700a
030700a
032300a
032300a
032300a
032300a
032300a
032300a
032300a
Wet
Sample
Weight (g)
5.279
4.996
5.201
5.347
5.368
5.250
5.548
5.521
4.908
4.629
4.865
5.835
Dry/Wet
Weight
Ratio
0.0876
0.0876
0.0876
0.0876
0.213
0.213
0.213
0.213
0.186
0.186
0.186
0.186
First
Extraction
Volume(ml)
3.2
3.0
3.2
3.2
3.2
4.0
2.0
2.0
2.0
1.6
4.0
4.0
3.4
3.4
3.4
3.4
4.0
4.0
Back
Extraction
Volume(ml)
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.8
0.8
Final
Extraction
Volume(ul)
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
Spiked
Concentration
(ng/g)
1.65
1.60
2.50
0.63
0.64
0.83
0.69
MeHg
Peak
Area
0.52
0.74
8.71
8.39
0.00
0.00
9.400
1.50
1.02
4.40
4.05
0.00
0.00
1.36
1.47
5.17
5.70
0.00
0.00
Y intercept
.39
.39
.39
.39
.39
.39
.39
0.21
0.21
0.21
0.21
0.50
0.50
-0.07
-0.07
-0.07
-0.07
-0.07
-0.07
Slope
2.59
2.59
2.59
2.59
2.59
2.59
2.59
2.66
2.66
2.66
2.66
2.44
2.44
.71
.71
.71
.71
.71
.71
MeHg
Concentration
(ng/g)
0.23
0.36
3.84
3.60
0.00
0.00
3.63
0.41
0.29
1.17
1.35
0.00
0.00
0.43
0.49
1.64
1.51
AVE
MeHg Cone.
(ng/g)
0.29
3.72
0.35
1.26
0.46
1.57
%RPD
-46.4
6.5
35.9
-14.5
-13.6
8.4
«
219.29
202.46
145.17
119.92
166.08
145.88
147.26
AVE
%R
210.87
143.00
146.57
Final
Result
ng/g
0.14
0.24
0.31
Data Qualifiers
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"MR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
10 % Recalculated Results for Methylmercury in Soil Samples Analyzed by
Florida International University Laboratory for the September 1999 Wet Season (M5)
Entered by mwb 02/02/00
Sampling Station
ID
M5-726-SDF-A
M5-726-SDF-B
M5-726-SDF-C
M5-726-SDF-D
Blank-1
Blank-2
ccv
ccv
M5-738-SDF-A
M5-738-SDF-B
M5-738-SDF-C
M5-738-SDF-D
Blank-1
Blank-2
ccv
ccv
M5-828-SDF-A
M5-828-SDF-B
M5-828-SDF-C
M5-828-SDF-D
Blank-1
Blank-2
ccv
ccv
M5-944-SDF-A
M5-944-SDF-B
M5-944-SDF-C
M5-944-SDF-D
Blank-1
Blank-2
ccv
Data Qualifier
Note
"M"
"M"
"DQO"
"DQO"
"M"
"M"
"DQO"
"M"
"M"
"DQO11
QC
Batch
30800
30800
30800
30800
30800
30800
30800
30800
022500b
022500b
022500b
022500b
022500b
022500b
022500b
022500b
040400b
040400b
040400b
040400b
040400b
040400b
040400b
040400b
31000
31000
31000
31000
31000
31000
31000
Wet
Sample
Weight (g)
5.183
4.935
5.010
4.804
5.101
5.139
5.038
5.370
5.022
5.030
4.386
4.482
5.594
5.626
Diy/Wet
Weight
Ratio
0.0819
0.0819
0.0819
0.0819
0.2806
0.2806
0.2806
0.2806
0.0453
0.0453
0.0785
0.0785
0.0785
0.0785
First
Extraction
Volume(ml)
4.2
4.0
4.2
4.2
4.0
4.0
3.6
4.2
4.2
4.2
3.8
4.0
4.0
4.0
4.0
4.0
4.0
4.0
4.0
4.0
3.2
4.0
Back
Extraction
Volume(ml)
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.6
Final
Extraction
Volume(ul)
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
Spiked
Concentration
(ng/g)
1.83
1.91
2.50
2.50
0.53
0.50
2.50
2.50
3.29
2.50
2.50
1.71
1.70
2.50
MeHg
Peak
Area
2.36
1.93
7.88
7.45
0.00
0.00
6.210
6.240
2.08
6.01
6.59
0.00
0.00
8.480
7.050
5.66
8.36
0.00
0.00
6.310
5.700
1 .88
0.40
5.69
6.85
0.00
0.00
9.310
Y intercept
0.11
0.11
0.11
0.11
0.11
0.11
0.13
0.13
0.27
0.27
0.27
0.27
0.27
0.27
0.27
0.27
0.39
0.39
0.52
0.52
0.52
0.52
0.61
0.61
0.61
0.61
0.61
0.61
0.61
Slope
2.24
2.24
2.24
2.24
2.24
2.24
3.02
3.02
2.04
2.04
2.04
2.04
2.04
2.04
2.04
2.04
2.21
2.21
1.99
1.99
1.99
1.99
1.94
1.94
1.94
1.94
1.94
1.94
1.94
MeHg
Concentration
(ng/g)
0.98
0.89
3.40
3.35
0.00
0.00
2.06
2.07
0.00
0.28
0.83
0.85
0.00
0.00
4.16
3.46
4.69
6.92
0.00
0.00
3.17
2.86
1.17
0.24
2.78
3.33
0.00
0.00
4.80
0.94
3.38
0.28
0.84
0.71
3.06
%RPD
10.3
1.4
"NA"
-2.8
131.1
-17.9
MR
132.09
129.12
82.25
82.65
"NA"
114.03
166.27
138.24
67.68
126.83
114.57
94.16
181.59
191.96
AVE
%R
130.61
114.03
137.88
Final
Result
ng'g
0.72
0.25
6.93
0.51
Data Qualifiers
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"MR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
SERC Mercury Lab / EPA REMAP results
Methyl Mercury Analysis
: Analysis not performed
: Analysis not required
: Averaged Results
Data Entered by: MWB 3-30-00
Data Entry Checked by: NJS 4-7-00
Sampling Station
ID
M5-622-SDF
M5-623-SDF
M5-624-SDF
M5-625-SDF
M5-626-SDF
M5-627-SDF
M5-628-SDF
M5-628-SDF
QA-630-SDF
M5-631-SDF
M5-632-SDF
M5-633-SDF
QA-634-SDF
M5-635-SDF
QA-636-SDF
M5-637-SDF
M5-638-SDF
M5-639-SDF
M5-640-SDF
M5-641-SDF
M5-642-SDF
M5-643-SDF
M5-644-SDF
QA-645-SDF
M5-646-SDF
M5-647-SDF
M5-648-SDF
M5-649-SDF
M5-650-SDF
QA-651-SDF
QA-652-SDF
M5-653-SDF
M5-654-SDF
M5-655-SDF
M5-656-SDF
M5-657-SDF
M5-658-SDF
M5-659-SDF
M5-660-SDF
M5-661-SDF
M5-662-SDF
M5-663-SDF
M5-664-SDF
M5-665-SDF
M5-666-SDF
M5-667-SDF
M5-668-SDF
M5-669-SDF
M5-670-SDF
QA-671-SDF
M5-672-SDF
M5-673-SDF
M5-674-SDF
M5-675-SDF
M5-676-SDF
M5-677-SDF
M5-678-SDF
M5-679-SDF
M5-680-SDF
M5-681-SDF
QA-682-SDF
M5-683-SDF
M5-684-SDF
M5-685-SDF
M5-686-SDF
M5-687-SDF
M5-688-SDF
M5-689-SDF
M5-690-SDF
M5-691-SDF
Matrix
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
Analysis
Method
Collection
Date
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/28/99
09/29/99
09/28/99
09/29/99
09/29/99
09/30/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/27/99
09/28/99
09/27/99
09/27/99
09/29/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/26/99
09/27/99
09/27/99
09/26/99
09/26/99
09/28/99
09/26/99
09/26/99
09/26/99
09/27/99
09/26/99
09/26/99
09/26/99
09/26/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
Time
1125
915
1018
1257
908
1050
1716
1716
1414
1010
1115
1216
1210
1630
1715
1116
1615
1011
910
1145
1515
1102
1300
1620
1158
1300
1145
1028
900
1751
1722
1205
1450
857
1610
1330
1100
1710
1655
1545
1207
1000
850
1100
1400
1025
1130
925
1310
1213
1335
900
1410
850
1530
1434
915
1035
1527
1205
1350
1554
Digestion
Date
02/21/00
02/21/00
02/21/00
02/21/00
02/21/00
02/21/00
02/21/00
04/04/00
02/21/00
02/21/00
03/20/00
02/21/00
02/21/00
04/04/00
02/21/00
02/21/00
02/21/00
02/21/00
02/21/00
02/21/00
02/25/00
03/20/00
02/28/00
03/20/00
02/28/00
02/28/00
02/28/00
02/29/00
02/29/00
03/20/00
02/29/00
02/29/00
02/29/00
02/29/00
02/29/00
02/29/00
02/29/00
03/02/00
03/02/00
03/02/00
03/02/00
03/02/00
04/04/00
03/02/00
03/02/00
03/02/00
03/02/00
03/02/00
03/20/00
03/03/00
03/03/00
03/03/00
03/03/00
03/24/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
Run
Date
02/21/00
02/21/00
02/21/00
02/21/00
02/21/00
02/21/00
02/21/00
04/04/00
02/21/00
02/21/00
03/20/00
02/21/00
02/21/00
04/04/00
02/21/00
02/21/00
02/21/00
02/21/00
02/21/00
02/21/00
02/25/00
03/20/00
02/28/00
03/20/00
02/28/00
02/28/00
02/28/00
02/29/00
02/29/00
03/20/00
02/29/00
02/29/00
02/29/00
02/29/00
02/29/00
02/29/00
02/29/00
03/02/00
03/02/00
03/02/00
03/02/00
03/02/00
04/04/00
03/02/00
03/02/00
03/02/00
03/02/00
03/02/00
03/20/00
03/03/00
03/03/00
03/03/00
03/03/00
03/24/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
Holding
Time (Days)
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Time Elapsed
From Dig
144
144
144
144
144
144
145
188
145
145
173
145
145
188
146
145
146
145
145
144
150
174
153
174
153
153
153
154
154
175
154
155
155
153
155
155
155
157
157
157
157
157
190
157
157
158
158
156
176
159
159
158
159
159
159
159
160
160
159
160
160
160
MeHg
Units (ng/g)
16.51
1.46
7.11
0.33
12.80
2.46
10.73
8.81
0.39
0.73
41.75
8.20
1.36
8.57
0.00
1.71
19.72
4.30
7.17
6.45
0.23
1.43
24.05
0.00
4.10
3.73
3.1
6.9
0.86
1.16
2.67
0.10
4.21
1.58
2.73
3.63
0.00
4.15
1.67
0.23
0.15
3.90
5.52
0.27
3.77
4.37
0.57
0.39
0.00
2.42
2.55
3.29
0.00
5.50
0.34
4.16
0.40
0.16
0.81
0.59
0.23
0.36
0.32
0.25
0.00
0.67
0.94
0.33
0.11
0.52
QA/QC
Batch ID
022100a
022100a
0221003
0221003
0221003
0221003
0221003
040400b
31500
0221003
0221003
032000b
31500
022100b
31500
022100b
040400b
022100b
022100b
022100b
022100b
022100b
022100b
31500
022500b
032000b
22800
032000b
22800
31500
31500
22800
22800
22900
22900
032000b
22900
22900
22900
22900
22900
22900
22900
30200
30200
30200
30200
30200
040400b
31500
30200
30200
30200
30200
30200
032000b
303003
303003
303003
303003
0324003
303003
303003
303003
303003
303003
30300b
30300b
30300b
30300b
QA Data
%R
%RPD
22.8
51.7
6.4
40.0
21.0
27.2
10.6
NA
2.4
38.5
4.4
NA
29.1
5.1
0.0
1.7
NA
2.5
12.6
7.5
NA
10.8
0.22
0.0
9.6
36.0
31
15.5
NA
28.0
0.9
NA
7.9
20.7
17.5
5.2
0.0
6.1
0.5
24.1
5.0
9.0
20.0
38.6
16.0
20.8
35.6
7.6
NA
51.6
14.8
6.5
0.0
17.1
34.6
35.7
48.9
NA
44.6
NA
NA
25.0
0.0
17.4
0.0
4.7
NA
0.0
NA
NA
Matrix %R
93.6
157.6
115.1
167.7
102.7
132.5
76.9
68.36
107.6
131.6
67.87
48.7
116.4
79.7
115.2
102.1
71.61
84.1
115.2
47.31
140.8
130.2
38.01
105.2
144.3
86.45
122.2
108.89
204.5
86.2
85
93.65
117.9
57.8
97.9
84.64
126.19
51.67
121.3
127.4
134.1
37.1
30.9
160.5
74.7
59.6
127.8
135.8
87.71
101.5
90.4
41.9
136.01
79.7
155.5
110.95
116.8
176.7
125.2
54.6
78.1
132.1
126.1
91.3
141
129.4
129.2
170.7
141
167.7
Notes
-------
M5-692-SDF
M5-693-SDF
M5-694-SDF
M5-695-SDF
QA-696-SDF
M5-697-SDF
QA-698-SDF
M5-699-SDF
M5-700-SDF
M5-701-SDF
M5-702-SDF
M5-703-SDF
M5-704-SDF
M5-705-SDF
M5-706-SDF
M5-707-SDF
M5-708-SDF
M5-709-SDF
QA-710-SDF
M5-711-SDF
M5-712-SDF
M5-714-SDF
M5-715-SDF
M5-716-SDF
M5-718-SDF
QA-719-SDF
M5-720-SDF
M5-722-SDF
M5-723-SDF
M5-724-SDF
M5-725-SDF
M5-726-SDF
M5-727-SDF
M5-728-SDF
M5-729-SDF
M5-730-SDF
M5-731-SDF
M5-732-SDF
M5-733-SDF
M5-734-SDF
M5-735-SDF
M5-738-SDF
M5-740-SDF
M5-741-SDF
M5-742-SDF
M5-743-SDF
M5-744-SDF
M5-745-SDF
M5-746-SDF
M5-747-SDF
M5-823-SDF
M5-828-SDF
M5-838-SDF
M5-848-SDF
M5-859-SDF
M5-868-SDF
M5-878-SDF
M5-890-SDF
M5-908-SDF
M5-920-SDF
M5-932-SDF
M5-944-SDF
M5-639-FCF
M5-640-FCF
M5-656-FCF
M5-666-FCF
M5-681-FCF
M5-683-FCF
M5-698-FCF
M5-699-FCF
M5-700-FCF
M5-712-FCF
M5-726-FCF
M5-729-PSF
M5-731-PSF
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
FC
FC
FC
FC
FC
FC
FC
FC
FC
FC
FC
PS
PS
09/25/99
09/25/99
09/25/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
09/26/99
09/25/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/23/99
09/24/99
09/24/99
09/24/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/22/99
09/23/99
09/23/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/30/99
09/28/99
09/29/99
09/28/99
09/27/99
09/27/99
09/26/99
09/25/99
09/24/99
09/23/99
09/23/99
09/22/99
09/28/99
09/29/99
09/28/99
09/27/99
09/26/99
09/26/99
09/25/99
09/25/99
09/24/99
09/23/99
09/23/99
09/22/99
1200
1139
1702
1400
1637
1635
1750
1740
918
1655
1615
1725
1555
1500
900
1330
1115
905
1715
1145
1310
1030
0
1600
1500
1442
1323
1230
1216
1350
1027
1120
1725
917
910
1540
1700
1410
1245
1534
1418
1130
1224
1120
948
942
0
0
0
0
0
0
0
0
0
0
1224
850
905
1230
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
03/07/00
03/07/00
03/07/00
03/07/00
03/07/00
03/07/00
03/07/00
03/20/00
03/07/00
03/07/00
03/24/00
03/07/00
03/23/00
03/23/00
03/07/00
03/23/00
03/07/00
03/24/00
03/07/00
03/07/00
03/07/00
03/07/00
03/08/00
03/08/00
03/08/00
03/08/00
03/08/00
03/08/00
03/23/00
03/08/00
03/08/00
03/08/00
03/09/00
03/09/00
03/09/00
03/09/00
03/09/00
03/09/00
03/09/00
03/09/00
03/09/00
03/09/00
02/21/00
04/04/00
02/21/00
02/21/00
02/21/00
03/10/00
03/10/00
03/10/00
03/10/00
03/10/00
03/10/00
03/10/00
03/23/00
03/23/00
03/23/00
03/23/00
03/23/00
02/25/00
03/23/00
03/23/00
03/23/00
02/25/00
02/25/00
03/30/00
03/30/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
03/03/00
03/07/00
03/07/00
03/07/00
03/07/00
03/07/00
03/07/00
03/07/00
03/20/00
03/07/00
03/07/00
03/24/00
03/07/00
03/23/00
03/23/00
03/07/00
03/23/00
03/07/00
03/24/00
03/07/00
03/07/00
03/07/00
03/07/00
03/08/00
03/08/00
03/08/00
03/08/00
03/08/00
03/08/00
03/23/00
03/08/00
03/08/00
03/08/00
03/09/00
03/09/00
03/09/00
03/09/00
03/09/00
03/09/00
03/09/00
03/09/00
03/09/00
03/09/00
02/21/00
04/04/00
02/21/00
02/21/00
02/21/00
03/10/00
03/10/00
03/10/00
03/10/00
03/10/00
03/10/00
03/10/00
03/23/00
03/23/00
03/23/00
03/23/00
03/23/00
02/25/00
03/23/00
03/23/00
03/23/00
02/25/00
02/25/00
03/30/00
03/30/00
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
160
160
160
160
159
160
164
163
164
165
165
165
165
178
165
165
165
181
182
165
181
165
166
166
166
166
167
167
167
167
167
167
183
167
167
168
169
169
169
169
169
169
169
169
169
169
144
189
145
146
147
165
166
167
168
169
169
170
177
176
177
178
179
152
36608
180
180
154
155
189
190
1.03
0.14
0.57
0.26
0.44
0.27
1.13
0.55
0.36
0.08
0.09
0.24
0.21
0.84
0.06
0.67
0.20
0.08
0.15
0.00
0.00
0.31
0.13
0.41
0.12
0.38
0.00
0.00
0.00
0.57
0.06
0.72
0.09
0.16
0.19
2.31
0.00
0.58
0.17
0.70
0.13
0.26
0.10
0.00
0.12
0.11
0.66
0.28
0.12
0.00
0.88
6.95
4.65
7.34
7.40
0.18
0.71
0.23
0.27
0.00
0.49
0.51
38.16
0.00
0.00
9.53
5.87
3.38
0.00
2.34
4.35
0.58
0.79
0.00
0.00
30300b
30300b
30300b
30300b
31500
30300b
31500
30300b
030700a
030700a
0307003
0307003
0307003
0307003
0307003
032000b
0307003
0307003
0324003
0307003
0323003
0323003
030700b
0323003
030700b
0324003
030700b
030700b
030700b
030700b
30800
30800
30800
30800
30800
30800
0323003
30800
30800
30800
30900
30900
30900
30900
30900
30900
30900
30900
30900
30900
31000
040400b
31000
31000
31000
31000
31000
31000
31000
31000
31000
31000
2300b
2300b
2300b
2300b
2300b
0225003
2300b
2300b
2300b
0225003
0225003
33000
33000
7.6
44.8
20.0
23.1
64.1
51.3
11.9
3.6
3.8
NA
25.0
34.3
19.4
7.1
NA
11.9
33.3
66.7
13.3
0.0
0.0
13.0
NA
17.2
41.7
13.5
0.0
0.0
0.0
15.4
11.8
10.6
60.0
33.3
NA
3.9
0.0
10.5
11.1
NA
0.0
NA
0.0
0.0
18.2
13.3
8.2
4.9
13.3
0.0
26.2
NA
16.1
3.4
9.8
25.0
26.5
34.4
50.0
0.0
9.4
132.4
5.2
0.0
0.0
NA
43.9
14.3
0.0
24.1
NA
37.5
24.3
NA
NA
139.96
211.01
130.5
152.6
88.2
145.04
112
150.1
145.3
154.4
168.5
145.4
142.8
151.97
164.5
98.98
165.4
147.3
101.5
47
162.2
146.7
91.95
17.2
93.7
99.15
95.02
100.1
103.4
114.3
139.4
130.9
114.4
116.2
102.3
122.5
109.8
130.2
105.1
130.2
80.3
108.8
70.5
10705
89.7
64.7
111.1
73.2
63.2
71.77
164
67.45
182.8
92.4
42.6
131.5
117.3
136.6
109.4
92.8
131.3
138.3
91.8
156.2
157.39
171.72
95.59
95
106.84
113.87
79.79
96.9
131.53
93.5
108.8
-------
M5-735-PSF
M5-740-PSF
M5-741-PSF
M5-742-PSF
M5-743-PSF
M5-744-PSF
M5-745-PSF
M5-746-PSF
M5-747-PSF
M5-747-PSF
PS
PS
PS
PS
PS
PS
PS
PS
PS
PS
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
942
03/30/00
03/30/00
03/30/00
03/30/00
03/30/00
04/04/00
04/04/00
03/30/00
02/21/00
04/04/00
03/30/00
03/30/00
03/30/00
03/30/00
03/30/00
04/04/00
04/04/00
03/30/00
02/21/00
04/04/00
28
28
28
28
28
28
28
28
28
28
190
190
190
190
190
195
195
190
152
195
0.00
0.00
0.00
0.00
0.07
0.70
0.38
0.00
0.15
0.85
33000
33000
33000
33000
33000
040400a
040400a
33000
0221003
0404003
NA
NA
NA
NA
NA
NA
NA
NA
33.3
NA
68.65
84.17
72.03
85.07
92.15
170.5
123
72.86
155.9
64.41
-------
10 % Recalculated Results for Total Phosphorus in Soil/Sediment
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by MWB 4-7-00
Checked by NJS 4-14-00
Sample
M5-622-SDF
M5-643-SDF
M5-663-SDF
Sample
Citrus Leaves
Citrus Leaves
CCV
CCV
CCV
CCV
CCV
M5-636-SDF
M5-636-SDF-D
M5-658-SDF
M5-658-SDF-D
Blanks
QA/QC
Batch
EPA1124C
"
"
QA/QC
Batch
EPA1124C
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
Qualifier
Note
"B (NR)"
Dilution
Factor
1
1
1
Dilution
Factor
1
1
1
1
1
1
1
1
1
1
1
Weight
grams
0.0251
0.0250
0.0249
Weight
grams
0.0255
0.0254
0.0248
0.0248
0.0256
0.0250
Peak Height
u in
5174
19003
9844
Peak Height
urn
74272
77618
58953
60170
61820
62375
63064
14348
13873
18825
17280
Slope
u in
2664.3945
2664.3945
2664.3945
Slope
urn
2664.3945
2664.3945
2664.3945
2664.3945
2664.3945
2664.3945
2664.3945
2664.3945
2664.3945
2664.3945
2664.3945
Sample
Results
ug/g (ppm)
77.4
285.3
148.4
Sample
Results
ug/g (ppm)
1093.2
1146.9
22.1
22.6
23.2
23.4
23.7
217.1
210.0
276.0
259.4
Detection
Limit
ug/g (ppm)
0.06
0.06
0.06
Detection
Limit*3
ug/g (ppm)
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
SPK
CONC
ug/g (ppm)
1300
1300
23.23
23.23
23.23
23.23
23.23
R%
84.09
88.22
95.25
97.21
99.88
100.78
101.89
RPD
-4.799
3.366
6.190
Sample
M5-633-SDF
M5-653-SDF
M5-738-SDF
Sample
Citrus Leaves
Citrus Leaves
CCV
CCV
CCV
CCV
M5-647-SDF
M5-647-SDF-D
M5-735-SDF
M5-735-SDF-D
Blanks
QA/QC
Batch
EPAM5-C
"
"
QA/QC
Batch
EPAM5-C
"
"
"
"
"
"
"
"
"
Qualifier
Note
Qualifier
Note
"B (NR)"
Dilution
Factor
1
1
1
Dilution
Factor
1
1
1
1
1
1
1
1
1
1
Weight
grams
0.0248
0.0248
0.0249
Weight
grams
0.0246
0.0245
0.0248
0.0248
0.0252
0.0252
Peak Height
urn
28422
8898
24785
Peak Height
urn
85425
78812
57788
63323
64574
65826
26200
25934
5318
4525
Slope
urn
2775.5208
2775.5208
2775.5208
Slope
inn
2775.5208
2775.5208
2775.5208
2775.5208
2775.5208
2775.5208
2775.5208
2775.5208
2775.5208
2775.5208
Sample
Results
ug/g (ppm)
412.9
129.3
358.6
Sample
Results
ug/g (ppm)
1251.1
1159.0
20.8
22.8
23.3
23.7
380.6
376.8
76.0
64.7
Detection
Limit
ug/g (ppm)
0.06
0.06
0.06
Detection
Limit*3
ug/g (ppm)
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
SPK
CONC
ug/g (ppm)
1300
1300
23.23
23.23
23.23
23.23
R%
96.24
89.15
89.63
98.21
100.15
102.09
RPD
7.646
-9.140
-1.920
1.020
16.113
"B" Analyte concentration in the associated blank was >3 times the MDL.
"NR" Data ivu:; unavailable for review.
-------
10 % Recalculated Results for Total Phosphorus in Soil/Sediment
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by MWB 4-7-00
Checked by NJS 4-14-00
Sample
M5-673-SDF
M5-683-SDF
Sample
Citrus Leaves
Citrus Leaves
CCV
CCV
CCV
CCV
M5-661-SDF
M5-661-SDF-D
M5-676-SDF
M5-676-SDF-D
M5-685-SDF
M5-685-SDF-D
Blanks
QA/QC
Batch
EPAM5-D
"
QA/QC
Batch
EPAM5-D
"
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
Qualifier
Note
"B (NR)"
Dilution
Factor
1
1
Dilution
Factor
1
1
1
1
1
1
1
1
1
1
1
1
Weight
grams
0.0253
0.0254
Weight
grams
0.0246
0.0245
0.0245
0.0245
0.0248
0.0248
0.0245
0.0247
Peak Height
u in
8544
20297
Peak Height
urn
88147
82242
62262
65420
66646
64271
10723
10589
17309
21182
25317
23903
Slope
u in
2845.8136
2845.8136
Slope
urn
2845.8136
2845.8136
2845.8136
2845.8136
2845.8136
2845.8136
2845.8136
2845.8136
2845.8136
2845.8136
2845.8136
2845.8136
Sample
Results
ug/g (ppm)
118.7
280.8
Sample
Results
ug/g (ppm)
1259.1
1179.6
21.9
23.0
23.4
22.6
153.8
151.9
245.3
300.1
363.1
340.1
Detection
Limit
ug/g (ppm)
0.06
0.06
Detection
Limit*3
ug/g (ppm)
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
SPK
CONC
ug/g (ppm)
1300
1300
23.23
23.23
23.23
23.23
R%
96.86
90.74
94.18
98.96
100.81
97.22
RPD
6.5
1.3
-20.1
6.6
"B" Analyte concentration in the associated blank was >3 times the MDL.
"NR" Data was unavailable for review.
-------
10 % Recalculated Results for Total Phosphorus in Soil/Sediment
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by MWB 4-10-00
Checked by NJS 4-14-00
Sample
M5-693-SDF
M5-703-SDF
M5-714-SDF
M5-726-SDF
M5-828-SDF
M5-944-SDF
Sample
Citrus Leaves
Citrus Leaves
CCV
CCV
CCV
CCV
CCV
CCV
CCV
CCV
M5-868-SDF
M5-868-SDF-D
M5-702-SDF
M5-702-SDF-D
M5-714-SDF
M5-714-SDF-D
M5-725-SDF
M5-725-SDF-D
Blanks
QA/QC
Batch
EPAM5-A
"
"
"
"
"
QA/QC
Batch
EPAM5-A
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
Qualifier
Note
"B (NR)"
Dilution
Factor
1
1
1
1
1
1
Dilution
Factor
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Weight
grams
0.0249
0.0245
0.0251
0.0245
0.0252
0.0254
Weight
grams
0.0246
0.0245
0.0246
0.0246
0.025
0.025
0.0251
0.0251
0.0248
0.0248
Peak Height
u in
12431
7407
28159
15762
12391
18729
Peak Height
urn
73703
67110
54639
58541
59855
60497
60628
57545
65184
64668
36375
37471
10068
10923
28159
26819
19440
18209
Slope
u in
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
Slope
urn
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
2680.2162
Sample
Results
ug/g (ppm)
186.3
112.8
408.6
240.0
183.5
275.1
Sample
Results
ug/g (ppm)
1117.8
1022.0
20.4
21.8
22.3
22.6
22.6
21.5
24.3
24.1
551.7
568.3
150.3
163.0
418.6
398.7
292.5
273.9
Detection
Limit
ug/g (ppm)
0.06
0.06
0.06
0.06
0.06
0.06
Detection
Limit*3
ug/g (ppm)
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
0.18
SPK
CONC
ug/g (ppm)
1300
1300
23.23
23.23
23.23
23.23
23.23
23.23
23.23
23.23
R%
85.99
78.62
87.76
94.02
96.13
97.17
97.38
92.42
104.69
103.87
RPD
8.958
-2.968
-8.146
4.875
6.539
"B" Analyte concentration in the associated blank was >3 times the MDL.
"NR" Data was unavailable for review.
-------
SERC Lab / EPA REMAP results
Total Phosphorus (TP) in Soil by EPA Method 365.1 (modified)
: Analysis not performed
: Analysis not required
: Average of Two
Data Entered by: njs 03-22-00 mwb 03-27-0
Data Entry Checked by: njs 03-28-00
Sampling Station
ID
M5-623-SDF
M5-630-SDF
M5-633-SDF
M5-634-SDF
M5-637-SDF
M5-640-SDF
M5-641-SDF
M5-644-SDF
M5-646-SDF
M5-647-SDF
M5-648-SDF
M5-649-SDF
M5-650-SDF
M5-651-SDF
M5-653-SDF
M5-655-SDF
M5-657-SDF
M5-659-SDF
M5-660-SDF
M5-661-SDF
M5-664-SDF
M5-666-SDF
M5-667-SDF
M5-668-SDF
M5-671-SDF
M5-672-SDF
M5-673-SDF
M5-674-SDF
M5-676-SDF
M5-677-SDF
M5-678-SDF
M5-679-SDF
M5-680-SDF
M5-681-SDF
M5-682-SDF
M5-683-SDF
M5-684-SDF
Matrix
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
Collection
Date
09/30/99
09/28/99
09/29/99
09/29/99
09/29/99
09/29/99
09/28/99
09/30/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/27/99
09/27/99
09/27/99
09/29/99
09/27/99
09/27/99
09/27/99
09/27/99
09/26/99
09/27/99
09/27/99
09/26/99
09/28/99
09/26/99
09/26/99
09/26/99
09/27/99
09/26/99
09/26/99
09/26/99
09/26/99
Time
915
1520
1115
1510
1210
1116
1615
1145
1515
1102
1300
1620
1158
1410
1300
1028
1751
1205
1450
857
1100
1655
1545
1207
850
1100
1400
1025
925
1310
1213
1335
900
1410
1615
850
1530
Digestion
Date
11/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
Run
Date
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
Time Elapsed
From Dig
43
45
44
44
44
44
45
43
45
45
45
45
45
45
45
45
46
46
46
44
46
46
46
46
47
46
46
47
45
47
47
47
46
47
47
47
47
Holding
Time (D:iy:;'»
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Phosphorus
Units (ppm, ug/g)
173
176
413
533
401
596
368
477
421
379
236
298
355
202
129
638
368
362
580
153
209
288
386
234
205
288
119
499
273
288
305
265
330
135
215
281
137
Detection
Limit (ppm)
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
QA/QC
Batch ID
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
QAData
%R %RPD Matrix %R Sample RPD
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
6.2
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
93.8
93.8
93.8
93.8
93.8
93.8
93.8
93.8
93.8
93.8
93.8
93.8
93.8
93.8
93.8
93.8
93.8
93.8
1.02
1.26
20.1
Notes
Averaged Result
Averaged Result
Averaged Result
-------
Sampling Station
ID
M5-685-SDF
M5-686-SDF
M5-687-SDF
M5-688-SDF
M5-689-SDF
M5-690-SDF
M5-691-SDF
M5-733-SDF
M5-734-SDF
M5-735-SDF
M5-738-SDF
M5-740-SDF
M5-741-SDF
M5-742-SDF
M5-743-SDF
M5-622-SDF
M5-624-SDF
M5-625-SDF
M5-626-SDF
M5-627-SDF
M5-628-SDF
M5-631-SDF
M5-632-SDF
M5-635-SDF
M5-636-SDF
M5-638-SDF
M5-639-SDF
M5-642-SDF
M5-643-SDF
M5-645-SDF
M5-647-SDF
M5-652-SDF
M5-654-SDF
M5-656-SDF
M5-658-SDF
M5-662-SDF
M5-663-SDF
M5-665-SDF
M5-669-SDF
M5-670-SDF
M5-708-SDF
M5-744-SDF
Matrix
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
Collection
Date
09/26/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
09/23/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/22/99
09/30/99
09/30/99
09/30/99
09/30/99
09/30/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/29/99
09/28/99
09/29/99
09/29/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/28/99
09/27/99
09/27/99
09/27/99
09/27/99
09/27/99
09/24/99
09/22/99
Time
1434
915
1035
1527
1205
1350
1554
910
1540
1700
1410
1245
1534
1418
1130
1125
1018
1257
908
1050
1716
1414
1010
1216
1405
1630
1715
1011
910
1447
1102
959
1145
900
1722
1610
1330
1710
1000
850
900
1224
Digestion
Date
11/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
1 1/12/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/18/99
11/15/99
Run
Date
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/24/99
11/19/99
Time Elapsed
From Dig
47
48
48
47
48
48
48
53
54
54
54
54
54
54
54
49
49
49
49
49
50
50
50
50
50
50
51
50
50
51
51
51
51
51
51
52
52
52
52
52
55
54
Holding
Time (D:iy:;'»
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Phosphorus
Units (ppm, ug/g)
352
436
402
268
192
177
386
162
334
70
359
120
119
78
42
77
267
179
243
417
285
226
552
271
214
741
453
372
285
409
396
430
384
298
268
291
148
263
236
150
162
162
Detection
Limit (ppm)
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
QA/QC
Batch ID
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-D
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPAM5-C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPA1124C
EPAM5-A
QAData
%R %RPD Matrix %R Sample RPD
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
115
105
6.2
6.2
6.2
6.2
6.2
6.2
6.2
7.3
7.3
7.3
7.3
7.3
7.3
7.3
7.3
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
4.6
8.4
93.8
93.8
93.8
93.8
93.8
93.8
93.8
92.7
92.7
92.7
92.7
92.7
92.7
92.7
92.7
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
86.2
82.3
6.56
16.11
3.37
6.19
Notes
Averaged Result
Averaged Result
Averaged Result
Averaged Result
-------
Sampling Station
ID
M5-745-SDF
M5-746-SDF
M5-747-SDF
M5-823-SDF
M5-828-SDF
M5-838-SDF
M5-848-SDF
M5-859-SDF
M5-868-SDF
M5-878-SDF
M5-890-SDF
M5-908-SDF
M5-920-SDF
M5-932-SDF
M5-944-SDF
M5-693-SDF
M5-694-SDF
M5-695-SDF
M5-696-SDF
M5-697-SDF
M5-698-SDF
M5-699-SDF
M5-700-SDF
M5-701-SDF
M5-702-SDF
M5-703-SDF
M5-704-SDF
M5-705-SDF
M5-706-SDF
M5-707-SDF
M5-709-SDF
M5-710-SDF
M5-711-SDF
M5-712-SDF
M5-714-SDF
M5-715-SDF
M5-716-SDF
M5-718-SDF
M5-719-SDF
M5-720-SDF
M5-722-SDF
M5-723-SDF
Matrix
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
Collection
Date
09/22/99
09/22/99
09/22/99
09/30/99
09/29/99
09/29/99
09/28/99
09/27/99
09/27/99
09/26/99
09/25/99
09/24/99
09/23/99
09/23/99
09/22/99
09/25/99
09/25/99
09/25/99
09/25/99
09/26/99
09/25/99
09/25/99
09/25/99
09/26/99
09/25/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/24/99
09/23/99
09/24/99
09/24/99
09/24/99
09/23/99
09/23/99
09/23/99
09/23/99
Time
1120
948
942
0
0
0
0
0
0
0
0
0
0
0
1224
1139
1702
1400
1510
1637
1030
1635
1750
1740
918
1655
1615
1725
1555
1500
1330
1430
1115
905
1715
1145
1310
1030
1715
0
1600
1500
Digestion
Date
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
Run
Date
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
Time Elapsed
From Dig
54
54
54
46
47
47
48
49
49
50
51
52
53
53
54
51
51
51
51
50
51
51
51
50
51
52
52
52
52
52
52
52
52
52
53
52
52
52
53
53
53
53
Holding
Time (D:iy:;'»
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
Phosphorus
Units (ppm, ug/g)
26
72
96
132
183
124
177
169
560
224
179
175
157
378
275
186
191
82
141
95
279
225
195
158
157
113
142
231
192
691
133
166
178
232
409
109
246
115
172
122
77
85
Detection
Limit (ppm)
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
QA/QC
Batch ID
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
QAData
%R %RPD Matrix %R Sample RPD
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
105
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
-2.97
-8.15
4.87
Notes
Averaged Result
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
-------
Sampling Station
ID
M5-724-SDF
M5-725-SDF
M5-726-SDF
M5-727-SDF
M5-728-SDF
M5-729-SDF
M5-730-SDF
M5-731-SDF
M5-732-SDF
Matrix
SD
SD
SD
SD
SD
SD
SD
SD
SD
Collection
Date
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/23/99
09/22/99
09/23/99
Time
1442
1323
1230
1216
1350
1027
1120
1725
917
Digestion
Date
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
11/15/99
Run
Date
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
11/19/99
Time Elapsed
From Dig
53
53
53
53
53
53
53
54
53
Holding
Time (D:iy:;'»
28
28
28
28
28
28
28
28
28
Phosphorus
Units (ppm, ug/g)
158
283
240
119
132
240
494
91
419
Detection
Limit (ppm)
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
QA/QC
Batch ID
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
EPAM5-A
QAData
%R
105
105
105
105
105
105
105
105
105
%RPD
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
8.4
Matrix %R
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
82.3
Sample RPD
6.54
Notes
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
Sample was label as SPF and Reported as SDF
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-622-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/30/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/30/99
02/21/00
02/21/00
X
SD = SF = S = Soil
09/30/99
11/18/99
11/24/99
X
SD = SF = S = Soil
09/30/99
12/09/99
12/09/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
4.495,4.606
200ul
aliquot
See Worksheets
16.6
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
77
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
38.5
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/30/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
022100a
NA
All Good
Good
All Good
Good
0.2 ng/g and>
0.9815
EPA1124C
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.9964
12/09/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"R2"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-622-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers|_
"R2"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-633-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/29/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/29/99
03/20/00
03/20/00
X
SD = SF = S = Soil
09/29/99
11/12/99
11/19/99
X
SD = SF = S = Soil
09/29/99
12/09/99
12/09/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
4.537, 4.922
200ul
aliquot
See Worksheets
8.2
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
413
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
87.4
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/29/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
032000b
NA
All Good
Good
48.70%
Good
0.2 ng/g and>
0.9808
EPAM5-C
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.9965
12/09/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"R2", "M"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-633-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers|_
"R2", "M"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-643-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/29/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/29/99
02/21/00
02/21/00
X
SD = SF = S = Soil
09/29/99
11/18/99
11/24/99
X
SD = SF = S = Soil
09/29/99
12/09/99
12/09/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
5.477, 4.590
200ul
aliquot
See Worksheets
1.4
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
285
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
53.6
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/29/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
022100b
NA
All Good
Good
130.56
Good
0.2 ng/g and>
0.9914
EPA1124C
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.9964
12/09/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"R2", "M"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-643-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers|_
"R2", "M"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-653-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/28/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/28/99
02/28/99
02/28/99
X
SD = SF = S = Soil
09/28/99
11/12/99
11/19/99
X
SD = SF = S = Soil
09/28/99
12/09/99
12/09/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
6.060, 5.583
200ul
aliquot
See Worksheets
0.1
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
129
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
15.9
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/28/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
22800
NA
All Good
Good
All Good
Not Reviewed
0.2 ng/g and>
0.9985
EPAM5-C
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.9965
12/09/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"DQO (NR)"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-653-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers|_
"DQO (NR)"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-663-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/27/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/27/99
02/29/00
02/29/00
X
SD = SF = S = Soil
09/27/99
11/18/99
11/24/99
X
SD = SF = S = Soil
09/27/99
12/09/99
12/09/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
5.209, 4.609
200ul
aliquot
See Worksheets
3.9
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
148
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
69.3
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/27/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
022500b
NA
All Good
Good
36.84%
Good
0.2 ng/g and>
0.9871
EPA1124C
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.9964
12/09/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"R2", "M"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-663-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers|_
"R2", "M"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-673-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/27/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/27/99
03/02/00
03/02/00
X
SD = SF = S = Soil
09/27/99
11/12/99
11/19/99
X
SD = SF = S = Soil
09/27/99
12/09/99
12/09/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
5.076, 4.834
200ul
aliquot
See Worksheets
3.3
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
119
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
32.7
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/27/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
022100a
NA
All Good
Good
All Good
Good
0.2 ng/g and>
0.9815
EPAM5-D
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.9973
12/09/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"R2"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-673-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers|_
"R2"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-683-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/26/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/26/99
03/03/00
03/03/00
X
SD = SF = S = Soil
09/26/99
11/12/99
11/19/99
X
SD = SF = S = Soil
09/26/99
12/13/99
12/13/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
5.186,4.518
200ul
aliquot
See Worksheets
0.36
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
77
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
88.7
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/26/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
30300a
NA
All Good
Good
131.81%
140%
0.2 ng/g and>
0.9823
EPAM5-D
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.9973
12/13/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"R2", "M", "DQO"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-683-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
Validation Criteria
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Applied Qualifiers|_
"R2", "M", "DQO"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-693-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/25/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/25/99
03/03/00
03/03/00
X
SD = SF = S = Soil
09/25/99
11/15/99
11/19/99
X
SD = SF = S = Soil
09/25/99
12/13/99
12/13/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
5.279, 4.996
200ul
aliquot
See Worksheets
0.14
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
186
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
80.3
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/25/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
30300b
NA
All Good
-46.4
210.87%
145.17%
0.2 ng/g and>
0.9397
EPAM5-A
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.995
12/13/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"R2", "DQO", "M"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-693-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
Validation Criteria
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Applied Qualifiers|_
"R2", "DQO", "M"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-703-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/24/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/24/99
03/07/00
03/07/00
X
SD = SF = S = Soil
09/24/99
11/15/99
11/19/99
X
SD = SF = S = Soil
09/24/99
12/13/99
12/13/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
5.368, 5.250
200ul
aliquot
See Worksheets
0.24
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
113
0
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
29.9
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/24/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
030700a
NA
All Good
35.9
143
Not Reported
0.2 ng/g and>
0.9925
EPAM5-A
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.995
12/13/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"R2", "M", "DQO"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-703-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
Validation Criteria
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Applied Qualifiers|_
"R2", "M", "DQO"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-714-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/23/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/23/99
03/23/00
03/23/00
X
SD = SF = S = Soil
09/23/99
11/15/99
11/19/99
X
SD = SF = S = Soil
09/23/99
12/13/99
12/13/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
4.908, 4.629
200ul
aliquot
See Worksheets
0.31
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
409
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
45.1
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/23/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
032300a
NA
All Good
Good
146.26%
Not Reported
0.2 ng/g and>
0.9935
EPAM5-A
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.995
12/13/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"R2", "M", "DQO"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-714-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
Validation Criteria
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Applied Qualifiers|_
"R2", "M", "DQO"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-726-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/23/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/23/99
03/08/00
03/08/00
X
SD = SF = S = Soil
09/23/99
11/15/99
11/19/99
X
SD = SF = S = Soil
09/23/99
12/14/99
12/14/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
5.183,4.935
200ul
aliquot
See Worksheets
0.72
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
240
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
84.6
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/23/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
30800
NA
All Good
Good
130.61%
Good
0.2 ng/g and>
0.9995
EPAM5-A
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.995
12/14/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"M"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-726-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers|_
"M"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-738-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/22/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/22/99
03/09/00
03/09/00
X
SD = SF = S = Soil
09/22/99
11/12/99
11/19/99
X
SD = SF = S = Soil
09/22/99
12/14/99
12/14/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
5.101,5.139
200ul
aliquot
See Worksheets
0.26
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
359
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
48.4
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/22/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
022500b
NA
All Good
Good
All Good
166, 114
0.2 ng/g and>
0.9871
EPAM5-C
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.9965
12/14/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"R2", "DQO"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-738-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Validation Criteria
Applied Qualifiers|_
"R2", "DQO"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-828-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/28/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/28/99
04/04/00
04/04/00
X
SD = SF = S = Soil
09/28/99
11/15/99
11/19/99
X
SD = SF = S = Soil
09/28/99
12/15/99
12/15/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
5.022
200ul
aliquot
See Worksheets
6.9
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
184
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
94.5
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/28/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
040400b
NA
All Good
Not Reported
67.68%
Good
0.2 ng/g and>
0.9942
EPAM5-A
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.995
12/15/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"R2", "M","DQO(NR)"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-828-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
Validation Criteria
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Applied Qualifiers|_
| "R2", "M","DQO(NR)" |
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
May 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID M5-944-SDF
Soil/Sediment
Laboratory Records
Data Report (Attached)
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RPD)
Matrix Spike Recoveries (75-125)
Calibration % R (high and low range)
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
SD = SF = S = Soil
09/22/99
Not Analyzed
Battelle Lab
X
SD = SF = S = Soil
09/22/99
03/10/00
03/10/00
X
SD = SF = S = Soil
09/22/99
11/15/99
11/19/99
X
SD = SF = S = Soil
09/22/99
12/14/99
12/14/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
ppm
CVAF
4.386, 4.482
200ul
aliquot
See Worksheets
0.51
ng/g
CVAF
JL
0.2 ng/g
0.025 g
0.025 g
Aliquot
1
275
ug/g
EPA 365.1
Angel
0.06
0.025 g
0.025 g
0.025 g
NA
78.3
%
ASTM D2974-87
SG/JL
0
X
SD = SF = S = Soil
09/22/99
80
80
80
No Data Reviewed
g/mL
ASTM D453 1-86
SG/JL
0.001 g/mL
28 days
SOP
Yes (FTN Associates)
No (Goal Only)
Yes (FTN Assoc rates)
Yes (FTN Assocrates)
No (Goal Only)
Yes (FTN Associates)
Yes (FTN Associates)
NA
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
31000
NA
All Good
131.1
137.88%
191.96%
0.2 ng/g and>
0.9831
EPAM5-A
NA in Soils
"NR"
<20RPD
All Good
Good
60 ppm and >
0.995
12/14/99
NA
NA
None Reported
NA
NA
NA
NA
Battelle Lab
SOP
Yes
"R2", "M", "DQO"
Yes
X
"B (NR)11
Yes
X
"DQO (NR)11
No Data Reviewed
Notes No descriptive narratives were provided by FIU.
Battelle Laboratory has been assigned to be the main laboratory for Total Hg in soils
Total Phosphorus and MEHG were digested past the holding time goals. Holding time is a goal only.
Bulk Density data was not provided for review or reporting.
-------
Station ID M5-944-SDF
Total Hg
MeHg
Total Phosphorus
AFDW
Bulk Density
Narrative Description (Attached) The Narrative Section will be written after all of the analyses are completed
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Internal COC
Hglab
Internal COC
Not Noted
Internal COC
X
X
Not Noted
X
Not Noted
Internal COC
Validation Criteria
X
X
X
X
X
X
X
X
X
X
X
X
NA
X
X
X
X
ng/g
X
X
ug/g
X
X
%
g/mL
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Applied Qualifiers|_
"R2", "M", "DQO"
"DQO (NR)11
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
Fish - SERC
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb4-13-00
Checked by
Sample
M5-622FSF-1
M5-622FSF-2
M5-622FSF-3
M5-622FSF-4
M5-622FSF-5
M5-622FSF-6
M5-622FSF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM1
DORM1
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV10-
CCV-11
CCV-12
CCV-13
CCV-14
QC
Batch
HO21JF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
Qualifier
Note
1^2=0.9989
Instrument
Reading
Peak Height
126.6
125.9
122.6
122
117.6
119
106.4
103.3
124.2
123.9
110.3
110.1
128.4
127.5
1.4
1.5
0.6
0.4
0.7
39.8
40.3
79.5
79.4
77.4
75.8
76.7
77.2
75.7
75.8
75.5
75.8
81.9
82.1
82.2
82.0
Slope
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
0.3961
Hg
Concentration
(PPt)
319.6
317.8
309.5
308.0
296.9
300.4
268.6
260.8
313.6
312.8
278.5
278.0
324.2
321.9
3.5
3.8
1.5
1.0
1.8
100.5
101.7
200.7
200.5
195.4
191.4
193.6
194.9
191.1
191.4
190.6
191.4
206.8
207.3
207.5
207.0
Vol.
added
(mL)
1
1
0.5
0.5
0.5
0.5
1
1
0.5
0.5
0.5
0.5
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.1925
0.1925
0.1925
0.1925
0.1925
0.1925
0.1925
0.1925
0.1925
0.1925
0.1925
0.1925
0.1925
0.1925
0.1925
0.1925
Corrected Hg
Concentration
(ng)
19.94
19.83
37.88
37.69
36.33
36.76
16.73
16.24
38.38
38.28
34.06
34.00
20.23
20.09
0.22
0.24
0.19
0.12
0.11
60.40
61.16
Weight
offish
fe)
0.2070
0.2070
0.2109
0.2109
0.2712
0.2712
0.1219
0.1219
0.1490
0.1490
0.1634
0.1634
0.1009
0.1009
0.0126
0.0126
Hg
Concentration
ppb
96.34
95.81
179.60
178.72
133.94
135.55
137.25
133.20
257.55
256.93
208.44
208.06
200.49
199.07
0.0018
4793.39
4853.80
0.2007
0.2005
0.1954
0.1914
0.1936
0.1949
0.1911
0.1914
0.1906
0.1914
0.2068
0.2073
0.2075
0.2070
Averaged
Result
ppb
96.08
179.16
134.75
135.23
257.24
208.25
199.78
0.23
0.16
0.0018
4823.60
Averaged
Reported
Result (ppb)
172.93
0.193
0.0018
4823.60
0.196
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
104.20
105.52
100.35
100.23
97.70
95.68
96.82
97.45
95.56
95.68
95.30
95.68
103.38
103.64
103.76
103.51
Standard
Deviation
42.72
0.0069
Relative
Standard
Deviation
0.9
3.51
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-13-00
Checked by
Sample
M5-633FSF-1
M5-633FSF-2
M5-633FSF-3
M5-633FSF-4
M5-633FSF-5
M5-633FSF-6
M5-633FSF-7
Method Blank-1
Method Blank-0. 5
Instrument Blank
DORMS
DORMS
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-17
CCV-18
CCV-19
CCV-20
CCV-2 1
CCV-22
QC
Batch
HO22JF1
11
"
"
11
11
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
Qualifier
Note
1^2=1.0000
11 M"
11 M"
Instrument
Reading
Peak Height
25.9
26.1
15.6
15.9
47.1
46.8
17.8
17.1
11.2
10.8
13.7
13.2
11.3
11.3
0.5
0.3
0.6
0.2
0.5
71.5
25.6
82.1
81.4
82
81.7
79.7
79.9
80.3
81.1
81.2
81.4
81.7
81.9
79.3
79.4
76.3
77.8
78.7
80.1
80.1
81.5
79.4
79.7
Slope
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
0.4090
Hg
Concentration
(PPt)
63.3
63.8
38.1
38.9
115.2
114.4
43.5
41.8
27.4
26.4
33.5
32.3
27.6
27.6
1.2
0.7
1.5
0.5
1.2
174.8
62.6
200.7
199.0
200.5
199.8
194.9
195.4
196.3
198.3
198.5
199.0
199.8
200.2
193.9
194.1
186.6
190.2
192.4
195.8
195.8
199.3
194.1
194.9
Vol.
added
(mL)
1
1
0.2
0.2
0.5
0.5
0.5
0.5
0.5
0.5
1
1
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.0925
0.0925
0.0925
0.0925
0.0925
0.0925
0.0925
0.0925
0.0925
0.0925
0.0925
0.0925
0.0925
0.0925
0.0925
0.0925
Corrected Hg
Concentration
(ng)
3.90
3.93
11.46
11.69
14.07
13.98
5.26
5.05
3.28
3.16
2.02
1.94
1.65
1.65
0.08
0.05
0.18
0.06
0.08
105.32
37.65
Weight
offish
0.1699
0.1699
0.2727
0.2727
0.1349
0.1349
0.1287
0.1287
0.1183
0.1183
0.0728
0.0728
0.0774
0.0774
0.0125
0.0125
Hg
Concentration
ppb
22.9
23.1
42.0
42.9
104.3
103.6
40.9
39.2
27.7
26.7
27.7
26.7
21.3
21.3
0.0012
8425.8
3012.0
0.2007
0.1990
0.2005
0.1998
0.1949
0.1954
0.1963
0.1983
0.1985
0.1990
0.1998
0.2002
0.1939
0.1941
0.1866
0.1902
0.1924
0.1958
0.1958
0.1993
0.1941
0.1949
Averaged
Result
ppb
23.03
42.45
103.98
40.06
27.18
27.19
21.29
0.06
0.12
0.0012
5718.89
Averaged
Reported
Result (ppb)
40.74
0.091
0.0012
5718.889
0.196
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
65.48
100.37
99.51
100.24
99.88
97.43
97.68
98.17
99.14
99.27
99.51
99.88
100.12
96.94
97.07
93.28
95.11
96.21
97.92
97.92
99.63
97.07
97.43
Standard
Deviation
3828.09
0.0036
Relative
Standard
Deviation
66.9
1.85
"M" Anaryte exhibits potential matrix effect based on matrix spike n
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-13-00
Checked by
Sample
M5-643FSF-1
M5-643FSF-2
M5-643FSF-3
M5-643FSF-4
M5-643FSF-5
M5-643FSF-6
M5-643FSF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 7
DORM 7
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV10-
CCV-11
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-17
CCV-18
CCV-19
CCV-20
CCV-2 1
CCV-22
CCV-23
CCV-24
QC
Batch
HO26JF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
Qualifier
Note
1^2=0.9998
Instrument
Reading
Peak Height
3.1
3.1
31.5
31.1
25.2
25
15.1
15.3
71.2
70.8
5.6
5.8
4.3
4.5
0.50
0.40
0.10
0.00
0.2
38.8
39.7
77.4
77.5
75.8
77.4
73.3
75.1
76.5
74.7
74.5
73.7
75.9
75.9
82.2
82.3
84.1
84.2
83.9
82.7
79.5
80.4
78.1
79.9
78.5
76.9
Slope
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
0.3912
Hg
Concentration
(PPt)
7.9
7.9
80.5
79.5
64.4
63.9
38.6
39.1
182.0
181.0
14.3
14.8
11.0
11.5
1.3
1.0
0.3
0.0
0.5
99.2
101.5
197.9
198.1
193.8
197.9
187.4
192.0
195.6
191.0
190.4
188.4
194.0
194.0
210.1
210.4
215.0
215.2
214.5
211.4
203.2
205.5
199.6
204.2
200.7
196.6
Vol.
added
(mL)
0.2
0.2
0.2
0.2
0.5
0.5
1
1
1
1
1
1
0.5
0.5
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.0425
0.0425
0.0425
0.0425
0.0425
0.0425
0.0425
0.0425
0.0425
0.0425
0.0425
0.0425
0.0425
0.0425
0.0425
0.0425
Corrected Hg
Concentration
(ng)
2.36
2.36
24.36
24.05
7.88
7.82
2.39
2.42
11.42
11.36
0.86
0.89
1.31
1.37
0.08
0.06
0.03
0.00
0.03
59.76
61.15
Weight
offish
fe)
0.567
0.567
0.2718
0.2718
0.1505
0.1505
0.087
0.087
0.1084
0.1084
0.0681
0.0681
0.0574
0.0574
0.0127
0.0127
Hg
Concentration
ppb
4.2
4.2
89.6
88.5
52.4
51.9
27.5
27.8
105.4
104.8
12.6
13.1
22.8
23.9
0.00051
4705.85
4815.08
0.1979
0.1981
0.1938
0.1979
0.1874
0.1920
0.1956
0.1910
0.1904
0.1884
0.1940
0.1940
0.2101
0.2104
0.2150
0.2152
0.2145
0.2114
0.2032
0.2055
0.1996
0.2042
0.2007
0.1966
Averaged
Result
ppb
4.16
89.04
52.16
27.65
105.09
12.86
23.36
0.07
0.02
0.0005
4760.46
Averaged
Reported
Result (ppb)
44.90
0.044
0.0005
4760.46
0.200
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
104.68
98.93
99.05
96.88
98.93
93.69
95.99
97.78
95.48
95.22
94.20
97.01
97.01
105.06
105.19
107.49
107.62
107.23
105.70
101.61
102.76
99.82
102.12
100.33
98.29
Standard
Deviation
77.24
0.0087
Relative
Standard
Deviation
1.6
4.36
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-653FSF-1
M5-653FSF-2
M5-653FSF-3
M5-653FSF-4
M5-653FSF-5
M5-653FSF-6
M5-653FSF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 14
DORM 14
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV10-
CCV-11
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-17
CCV-18
CCV-19
CCV-20
CCV-2 1
CCV-22
QC
Batch
HO28JF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
Qualifier
Note
1^2=0.9982
Instrument
Reading
Peak Height
3.3
2.9
5.5
5
4.1
3.9
8.9
7.6
3.4
3.2
4.6
4.4
4.4
3.7
0.3
0.3
0.7
0.6
0.7
39
38.5
74.5
75.7
73.1
73.2
76.2
75.4
75
74.9
70.9
71.2
74.4
74.2
74.4
74.4
74.1
73.7
74.1
74.1
73.8
74.6
73.4
74.1
Y Intercept
Slope
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
0.4039
Hg
Concentration
(PPt)
8.2
7.2
13.6
12.4
10.2
9.7
22.0
18.8
8.4
7.9
11.4
10.9
10.9
9.2
0.7
0.7
1.7
1.5
1.7
96.6
95.3
184.5
187.4
181.0
181.2
188.7
186.7
185.7
185.4
175.5
176.3
184.2
183.7
184.2
184.2
183.5
182.5
183.5
183.5
182.7
184.7
181.7
183.5
Vol.
added
(mL)
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.1225
0.1225
0.1225
0.1225
0.1225
0.1225
0.1225
0.1225
0.1225
0.1225
0.1225
0.1225
0.1225
0.1225
0.1225
0.1225
Corrected Hg
Concentration
(ng)
0.39
0.33
0.74
0.66
0.52
0.49
1.27
1.06
0.41
0.38
0.60
0.56
0.56
0.45
0.05
0.05
0.21
0.18
0.11
58.10
57.36
Weight
offish
fe)
0.0926
0.0926
0.1051
0.1051
0.0923
0.0923
0.1377
0.1377
0.0722
0.0722
0.0728
0.0728
0.0533
0.0533
0.011
0.011
Hg
Concentration
ppb
4.2
3.6
7.0
6.3
5.6
5.3
9.2
7.7
5.6
5.2
8.2
7.7
10.6
8.5
0.0017
5282.03
5214.17
0.1845
0.1874
0.1810
0.1812
0.1887
0.1867
0.1857
0.1854
0.1755
0.1763
0.1842
0.1837
0.1842
0.1842
0.1835
0.1825
0.1835
0.1835
0.1827
0.1847
0.1817
0.1835
Averaged
Result
ppb
3.90
6.63
5.43
8.46
5.43
7.96
9.55
0.05
0.20
0.0017
5248.10
Averaged
Reported
Result (ppb)
6.77
0.122
0.0017
5248.10
0.183
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
114.83
113.35
92.23
93.71
90.49
90.62
94.33
93.34
92.84
92.72
87.77
88.14
92.10
91.85
92.10
92.10
91.73
91.24
91.73
91.73
91.36
92.35
90.86
91.73
Standard
Deviation
47.99
0.0031
Relative
Standard
Deviation
0.9
1.67
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-663FSF-1
M5-663FSF-2
M5-663FSF-3
M5-663FSF-4
M5-663FSF-5
M5-663FSF-6
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 15
DORM 15
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-17
CCV-18
CCV-19
CCV-20
CCV-2 1
CCV-22
QC
Batch
HO28JF2
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
Qualifier
Note
1^2=0.9990
Instrument
Reading
Peak Height
171.8
172.4
127.1
133.7
88.5
89.5
86
87.7
67.4
67.2
69.8
62.5
1.2
1
2.1
1.4
0.65
38.6
37.8
89.7
91.8
82.3
88.6
88.3
89.3
80.1
88.8
90.4
89.7
77.5
86.2
87.3
86.4
77.5
86
84.7
85.6
77.7
84.2
85.6
85.5
Slope
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
0.4316
Hg
Concentration
(ppt)
398.1
399.4
294.5
309.8
205.1
207.4
199.3
203.2
156.2
155.7
161.7
144.8
2.8
2.3
4.9
3.2
1.5
89.4
87.6
207.8
212.7
190.7
205.3
204.6
206.9
185.6
205.7
209.5
207.8
179.6
199.7
202.3
200.2
179.6
199.3
196.2
198.3
180.0
195.1
198.3
198.1
Vol.
added
(mL)
1
1
1
1
1
1
1
1
1
1
0.5
0.5
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
Corrected Hg
Concentration
(ng)
24.74
24.83
18.22
19.18
12.59
12.73
12.22
12.47
9.51
9.48
19.56
17.48
0.18
0.15
0.60
0.40
0.09
53.60
52.48
Weight
offish
(g)
0.1356
0.1356
0.112
0.112
0.1073
0.1073
0.1079
0.1079
0.0964
0.0964
0.1626
0.1626
0.0109
0.0114
Hg
Concentration
ppb
182.48
183.13
162.68
171.28
117.29
118.65
113.26
115.56
98.61
98.30
120.29
107.50
0.0015
4917.1
4603.4
0.2078
0.2127
0.1907
0.2053
0.2046
0.2069
0.1856
0.2057
0.2095
0.2078
0.1796
0.1997
0.2023
0.2002
0.1796
0.1993
0.1962
0.1983
0.1800
0.1951
0.1983
0.1981
Averaged
Result
ppb
182.81
166.98
117.97
114.41
98.46
113.90
0.16
0.50
0.0015
4760.27
Averaged
Reported
Result (ppb)
132.42
0.330
0.0015
4760.27
0.198
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
106.89
100.07
103.92
106.35
95.34
102.64
102.29
103.45
92.79
102.87
104.73
103.92
89.78
99.86
101.14
100.09
89.78
99.63
98.12
99.17
90.01
97.54
99.17
99.05
Standard
Deviation
221.82
0.0098
Relative
Standard
Deviation
4.7
4.95
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-673FSF-1
M5-673FSF-2
M5-673FSF-3
M5-673FSF-4
M5-673FSF-5
M5-673FSF-6
M5-673FSF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 22
DORM 22
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
QC
Batch
HO29JF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
Qualifier
Note
1^2=0.9993
Instrument
Reading
Peak Height
139.5
141
95.7
105.5
90.7
90.8
44.5
47.3
137.5
137.4
61.7
67.7
59.2
59.5
0.9
0.7
0.6
0.6
0.15
32.7
34.9
83.4
83.7
74.9
82.8
80.8
80.4
74.2
80.7
83.2
82.4
77.8
83
82.2
82.7
77.3
83
Slope
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
0.4124
Hg
Concentration
(PPt)
338.3
341.9
232.1
255.8
219.9
220.2
107.9
114.7
333.4
333.2
149.6
164.2
143.5
144.3
2.2
1.7
1.5
1.5
0.4
79.3
84.6
202.2
203.0
181.6
200.8
195.9
195.0
179.9
195.7
201.7
199.8
188.7
201.3
199.3
200.5
187.4
201.3
Vol.
added
(mL)
0.5
0.5
0.5
0.5
1
1
0.2
0.2
1
1
0.5
0.5
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
Corrected Hg
Concentration
(ng)
41.27
41.72
28.21
31.13
13.52
13.54
32.36
34.42
20.67
20.66
18.07
19.86
8.71
8.76
0.14
0.11
0.18
0.18
0.02
47.48
50.70
Weight
offish
fe)
0.1786
0.1786
0.1504
0.1504
0.0999
0.0999
0.1894
0.1894
0.1001
0.1001
0.1476
0.1476
0.0764
0.0764
0.0126
0.0126
Hg
Concentration
ppb
231.10
233.60
187.57
207.00
135.37
135.52
170.87
181.73
206.52
206.37
122.42
134.55
114.02
114.62
0.0004
3768.3
4023.6
0.2022
0.2030
0.1816
0.2008
0.1959
0.1950
0.1799
0.1957
0.2017
0.1998
0.1887
0.2013
0.1993
0.2005
0.1874
0.2013
Averaged
Result
ppb
232.35
197.29
135.44
176.30
206.44
128.49
114.32
0.12
0.18
0.0004
3895.95
Averaged
Reported
Result (ppb)
170.09
0.151
0.0004
3895.95
0.196
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
81.92
87.47
101.12
101.48
90.81
100.39
97.96
97.48
89.96
97.84
100.87
99.90
94.33
100.63
99.66
100.27
93.72
100.63
Standard
Deviation
180.52
0.0075
Relative
Standard
Deviation
4.6
3.82
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-683FSF-1
M5-683FSF-2
M5-683FSF-3
M5-683FSF-4
M5-683FSF-5
M5-683FSF-6
M5-683FSF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 26
DORM 26
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-17
CCV-18
CCV-19
CCV-20
QC
Batch
HO01KF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
Qualifier
Note
1^2=0.9998
Instrument
Reading
Peak Height
118.1
117
96.6
96.3
86.8
87.3
110.4
109.5
42.8
41.9
65.5
66.4
105.2
105.2
0.5
0.4
0.3
0.2
0.2
37.4
37.7
89.2
88.2
86.7
89
89
88.7
88.8
88.5
87.2
88.4
82.4
89.3
86.9
87.7
88.1
87.1
85.9
86
85.7
85.7
Slope
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
0.4151
Hg
Concentration
(PPt)
284.5
281.9
232.7
232.0
209.1
210.3
266.0
263.8
103.1
100.9
157.8
160.0
253.4
253.4
1.20
0.96
0.72
0.48
0.48
90.1
90.8
214.9
212.5
208.9
214.4
214.4
213.7
213.9
213.2
210.1
213.0
198.5
215.1
209.3
211.3
212.2
209.8
206.9
207.2
206.5
206.5
Vol.
added
(mL)
0.5
0.5
0.5
0.5
0.2
0.2
0.5
0.5
0.5
0.5
1
1
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
0.3325
Corrected Hg
Concentration
(ng)
34.66
34.34
28.29
28.20
63.03
63.39
32.38
32.11
12.35
12.08
9.61
9.75
15.63
15.63
0.08
0.06
0.09
0.06
0.03
54.00
54.43
Weight
offish
fe)
0.1167
0.1167
0.1212
0.1212
0.1936
0.1936
0.1369
0.1369
0.0867
0.0867
0.0917
0.0917
0.0804
0.0804
0.0109
0.0109
Hg
Concentration
ppb
297.02
294.23
233.43
232.69
325.55
327.44
236.53
234.58
142.44
139.37
104.78
106.27
194.45
194.45
0.0005
4953.9
4993.8
0.2149
0.2125
0.2089
0.2144
0.2144
0.2137
0.2139
0.2132
0.2101
0.2130
0.1985
0.2151
0.2093
0.2113
0.2122
0.2098
0.2069
0.2072
0.2065
0.2065
Averaged
Result
ppb
295.62
233.06
326.49
235.55
140.90
105.53
194.45
0.07
0.07
0.0005
4973.85
Averaged
Reported
Result (ppb)
218.80
0.071
0.0005
4973.85
0.211
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
107.69
108.56
107.44
106.24
104.43
107.20
107.20
106.84
106.96
106.60
105.03
106.48
99.25
107.56
104.67
105.64
106.12
104.91
103.47
103.59
103.23
103.23
Standard
Deviation
28.27
0.0041
Relative
Standard
Deviation
0.6
1.94
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-693FSF-1
M5-693FSF-2
M5-693FSF-3
M5-693FSF-4
M5-693FSF-5
M5-693FSF-6
M5-693FSF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 31
DORM 31
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
QC
Batch
HO02KF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
Qualifier
Note
1^2=0.9996
Instrument
Reading
Peak Height
60.2
64.5
69.7
70
30.2
31.6
5.5
5.6
68.5
74.5
37.1
37.2
51.8
54.6
0.5
0.4
0.3
0.4
0.6
40.3
40
83.8
85.1
79.7
86
86.7
86.9
82.3
88.1
89.4
89.7
88.2
91.3
95.4
95.3
86.5
95
Slope
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
0.4174
Hg
Concentration
(PPt)
144.2
154.5
167.0
167.7
72.4
75.7
13.2
13.4
164.1
178.5
88.9
89.1
124.1
130.8
1.20
0.96
0.72
0.96
1.44
96.6
95.8
200.8
203.9
190.9
206.0
207.7
208.2
197.2
211.1
214.2
214.9
211.3
218.7
228.6
228.3
207.2
227.6
Vol.
added
(mL)
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.3325
0.3325
0.0875
0.0875
0.0875
0.0875
0.0875
0.0875
0.0875
0.0875
0.0875
0.0875
0.0875
0.0875
0.0875
0.0875
Corrected Hg
Concentration
(ng)
8.75
9.40
10.43
10.48
4.47
4.68
0.74
0.76
10.25
11.16
5.51
5.53
7.73
8.15
0.08
0.06
0.09
0.12
0.09
58.13
57.70
Weight
offish
fe)
0.0549
0.0549
0.0425
0.0425
0.0373
0.0373
0.0095
0.0095
0.0608
0.0608
0.0397
0.0397
0.0699
0.0699
0.0126
0.0126
Hg
Concentration
ppb
159.45
171.27
245.47
246.54
119.86
125.52
78.17
79.76
168.61
183.51
138.85
139.23
110.60
116.65
0.0014
4613.7
4579.3
0.2008
0.2039
0.1909
0.2060
0.2077
0.2082
0.1972
0.2111
0.2142
0.2149
0.2113
0.2187
0.2286
0.2283
0.2072
0.2276
Averaged
Result
ppb
165.36
246.01
122.69
78.97
176.06
139.04
113.62
0.07
0.10
0.0014
4596.47
Averaged
Reported
Result (ppb)
148.82
0.086
0.0014
4596.47
0.211
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
100.30
99.55
100.38
101.94
95.47
103.02
103.86
104.10
98.59
105.53
107.09
107.45
105.65
109.37
114.28
114.16
103.62
113.80
Standard
Deviation
24.32
0.0109
Relative
Standard
Deviation
0.5
5.15
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-703FSF-1
M5-703FSF-2
M5-703FSF-3
M5-703FSF-4
M5-703FSF-5
M5-703FSF-6
M5-703FSF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 29
DORM 29
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-17
CCV-18
CCV-19
CCV-20
QC
Batch
HO05KF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
Qualifier
Note
1^2=0.9991
Instrument
Reading
Peak Height
38.4
38.7
46.9
47
58.7
59.1
97.7
97.7
52.7
54.7
92.5
93.2
84.8
84.5
0.6
0.8
0.3
0.3
0.35
33.4
33.2
79.2
79.5
85
85.2
83.9
85
85.5
82.6
84.8
83
83.6
86.3
84.2
85.3
83.3
83.9
82.9
83.6
83
83.3
Slope
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
Hg
Concentration
(PPt)
97.1
97.8
118.6
118.8
148.4
149.4
247.0
247.0
133.2
138.3
233.8
235.6
214.4
213.6
1.52
2.02
0.76
0.76
0.88
84.4
83.9
200.2
201.0
214.9
215.4
212.1
214.9
216.1
208.8
214.4
209.8
211.3
218.1
212.8
215.6
210.6
212.1
209.6
211.3
209.8
210.6
Vol.
added
(mL)
0.1
0.1
0.1
0.1
0.5
0.5
0.5
0.5
0.5
0.5
1
1
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
Corrected Hg
Concentration
(ng)
58.43
58.89
71.39
71.54
18.15
18.27
30.27
30.27
16.28
16.90
14.63
14.74
13.40
13.35
0.10
0.13
0.09
0.09
0.06
50.81
50.50
Weight
offish
fe)
0.2116
0.2116
0.223
0.223
0.0806
0.0806
0.103
0.103
0.0736
0.0736
0.0796
0.0796
0.0849
0.0849
0.0109
0.0109
Hg
Concentration
ppb
276.13
278.29
320.11
320.80
225.17
226.71
293.93
293.93
221.24
229.69
183.77
185.17
157.86
157.29
0.0009
4661.3
4633.3
0.2002
0.2010
0.2149
0.2154
0.2121
0.2149
0.2161
0.2088
0.2144
0.2098
0.2113
0.2181
0.2128
0.2156
0.2106
0.2121
0.2096
0.2113
0.2098
0.2106
Averaged
Result
ppb
277.21
320.46
225.94
293.93
225.46
184.47
157.58
0.11
0.09
0.0009
4647.30
Averaged
Reported
Result (ppb)
240.72
0.102
0.0009
4647.30
0.211
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
101.33
100.72
100.10
100.48
107.43
107.68
106.04
107.43
108.06
104.40
107.18
104.90
105.66
109.07
106.42
107.81
105.28
106.04
104.78
105.66
104.90
105.28
Standard
Deviation
19.78
0.0045
Relative
Standard
Deviation
0.4
2.14
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-703FSF-1
M5-703FSF-2
M5-703FSF-3
M5-703FSF-4
M5-703FSF-5
M5-703FSF-6
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 37
DORM 37
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-17
CCV-18
CCV-19
CCV-20
CCV-2 1
CCV-22
QC
Batch
HO09KF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
Qualifier
Note
1^2=0.9999
Instrument
Reading
Peak Height
35.3
36.4
41.4
41.3
58.2
58
104.9
103.5
54.5
54
92.3
93.3
0.5
0.3
0.3
0.4
0.3
42.2
42.6
75.7
76.2
82.5
83.1
83.6
83.8
82.8
83.6
80.7
80.8
73.6
74.6
72.3
72.3
72.9
73.9
0.7
0.5
0.5
0.1
75.8
77.2
Slope
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
Hg
Concentration
(PPt)
91.8
94.7
107.7
107.4
151.4
150.8
272.8
269.2
141.7
140.4
240.1
242.7
1.30
0.78
0.78
1.04
0.78
109.8
110.8
196.9
198.2
214.6
216.1
217.4
217.9
215.3
217.4
209.9
210.1
191.4
194.0
188.0
188.0
189.6
192.2
1.8
1.3
1.3
0.3
197.1
200.8
Vol.
added
(mL)
0.1
0.1
0.1
0.1
0.5
0.5
0.5
0.5
0.5
0.5
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
Corrected Hg
Concentration
(ng)
55.27
57.00
64.84
64.68
18.53
18.46
33.47
33.02
17.34
17.18
15.03
15.20
0.08
0.05
0.10
0.13
0.05
66.09
66.72
Weight
offish
fe)
0.2116
0.2116
0.223
0.223
0.0806
0.0806
0.103
0.103
0.0736
0.0736
0.0796
0.0796
0.014
0.014
Hg
Concentration
ppb
261.20
269.35
290.75
290.04
229.88
229.08
324.92
320.58
235.66
233.48
188.86
190.92
0.0008
4720.8
4765.6
0.1969
0.1982
0.2146
0.2161
0.2174
0.2179
0.2153
0.2174
0.2099
0.2101
0.1914
0.1940
0.1880
0.1880
0.1896
0.1922
0.0018
0.0013
0.0013
0.0003
0.1971
0.2008
Averaged
Result
ppb
265.28
290.39
229.48
322.75
234.57
189.89
0.07
0.11
0.0008
4743.19
Averaged
Reported
Result (ppb)
255.39
0.089
0.0008
4743.19
0.166
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
102.63
103.60
98.44
99.09
107.28
108.06
108.71
108.97
107.67
108.71
104.94
105.07
95.71
97.01
94.02
94.02
94.80
96.10
0.91
0.65
0.65
0.13
98.57
100.39
Standard
Deviation
31.68
0.0804
Relative
Standard
Deviation
0.7
48.31
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-714FSF-1
M5-714FSF-2
M5-714FSF-3
M5-714FSF-4
M5-714FSF-5
M5-714FSF-6
M5-714FSF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 29
DORM 29
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-17
CCV-18
CCV-19
CCV-20
QC
Batch
HO05KF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
Qualifier
Note
1^2=0.9991
Instrument
Reading
Peak Height
119.5
120.4
86.9
86.7
71.6
70.1
99.9
101
121.2
120.3
119.4
118.9
111.2
110
0.6
0.8
0.3
0.3
0.35
33.4
33.2
79.2
79.5
85
85.2
83.9
85
85.5
82.6
84.8
83
83.6
86.3
84.2
85.3
83.3
83.9
82.9
83.6
83
83.3
Slope
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
0.3956
Hg
Concentration
(PPt)
302.1
304.3
219.7
219.2
181.0
177.2
252.5
255.3
306.4
304.1
301.8
300.6
281.1
278.1
1.52
2.02
0.76
0.76
0.88
84.4
83.9
200.2
201.0
214.9
215.4
212.1
214.9
216.1
208.8
214.4
209.8
211.3
218.1
212.8
215.6
210.6
212.1
209.6
211.3
209.8
210.6
Vol.
added
(mL)
0.5
0.5
0.5
0.5
0.5
0.5
0.5
0.5
0.5
0.5
1
1
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
0.1025
Corrected Hg
Concentration
(ng)
37.05
37.33
26.92
26.85
22.16
21.69
30.96
31.30
37.58
37.30
18.91
18.83
17.61
17.42
0.10
0.13
0.09
0.09
0.06
50.81
50.50
Weight
offish
fe)
0.1451
0.1451
0.1138
0.1138
0.1586
0.1586
0.1611
0.1611
0.1041
0.1041
0.0880
0.0880
0.0649
0.0649
0.0109
0.0109
Hg
Concentration
ppb
255.36
257.29
236.52
235.98
139.72
136.78
192.17
194.29
361.01
358.32
214.91
214.01
271.28
268.34
0.0009
4661.3
4633.3
0.2002
0.2010
0.2149
0.2154
0.2121
0.2149
0.2161
0.2088
0.2144
0.2098
0.2113
0.2181
0.2128
0.2156
0.2106
0.2121
0.2096
0.2113
0.2098
0.2106
Averaged
Result
ppb
256.32
236.25
138.25
193.23
359.66
214.46
269.81
0.11
0.09
0.0009
4647.30
Averaged
Reported
Result (ppb)
238.28
0.102
0.0009
4647.30
0.211
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
101.33
100.72
100.10
100.48
107.43
107.68
106.04
107.43
108.06
104.40
107.18
104.90
105.66
109.07
106.42
107.81
105.28
106.04
104.78
105.66
104.90
105.28
Standard
Deviation
19.78
0.0045
Relative
Standard
Deviation
0.4
2.14
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-714FSF-1
M5-714FSF-2
M5-714FSF-3
M5-714FSF-4
M5-714FSF-5
M5-714FSF-6
M5-714FSF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 37
DORM 37
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-2 1
CCV-22
QC
Batch
HO09KF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
Qualifier
Note
1^2=0.9999
Instrument
Reading
Peak Height
129.5
133.1
88.5
89
82.4
82
111.7
108.9
121
124.6
129.5
127.8
110.4
108
0.5
0.3
0.3
0.4
0.3
42.2
42.6
75.7
76.2
82.5
83.1
83.6
83.8
82.8
83.6
80.7
80.8
73.6
74.6
72.3
72.3
72.9
73.9
75.8
77.2
Slope
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
Hg
Concentration
(PPt)
336.8
346.2
230.2
231.5
214.3
213.3
290.5
283.2
314.7
324.1
336.8
332.4
287.1
280.9
1.30
0.78
0.78
1.04
0.78
109.8
110.8
196.9
198.2
214.6
216.1
217.4
217.9
215.3
217.4
209.9
210.1
191.4
194.0
188.0
188.0
189.6
192.2
197.1
200.8
Vol.
added
(mL)
0.5
0.5
0.5
0.5
0.5
0.5
0.5
0.5
0.5
0.5
1
1
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
Corrected Hg
Concentration
(ng)
41.34
42.49
28.22
28.38
26.27
26.14
35.64
34.75
38.62
39.77
21.13
20.85
18.00
17.61
0.08
0.05
0.10
0.13
0.05
66.09
66.72
Weight
offish
fe)
0.1451
0.1451
0.1138
0.1138
0.1586
0.1586
0.1611
0.1611
0.1041
0.1041
0.0880
0.0880
0.0649
0.0649
0.014
0.014
Hg
Concentration
ppb
284.88
292.82
247.99
249.39
165.63
164.83
221.24
215.68
370.96
382.03
240.10
236.93
277.33
271.27
0.0008
4720.8
4765.6
0.1969
0.1982
0.2146
0.2161
0.2174
0.2179
0.2153
0.2174
0.2099
0.2101
0.1914
0.1940
0.1880
0.1880
0.1896
0.1922
0.1971
0.2008
Averaged
Result
ppb
288.85
248.69
165.23
218.46
376.50
238.51
274.30
0.07
0.11
0.0008
4743.19
Averaged
Reported
Result (ppb)
258.65
0.089
0.0008
4743.19
0.203
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
102.63
103.60
98.44
99.09
107.28
108.06
108.71
108.97
107.67
108.71
104.94
105.07
95.71
97.01
94.02
94.02
94.80
96.10
98.57
100.39
Standard
Deviation
31.68
0.0115
Relative
Standard
Deviation
0.7
5.67
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-726FSF-1
M5-726FSF-2
M5-726FSF-3
M5-726FSF-4
M5-726FSF-5
M5-726FSF-6
M5-726FSF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 37
DORM 37
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-2 1
CCV-22
QC
Batch
HO09KF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
Qualifier
Note
1^2=0.9999
Instrument
Reading
Peak Height
56.8
57.4
26.3
26.4
44.1
44.3
21.3
21.1
38.5
40.7
15
14.8
22.4
22.3
0.5
0.3
0.3
0.4
0.3
42.2
42.6
75.7
76.2
82.5
83.1
83.6
83.8
82.8
83.6
80.7
80.8
73.6
74.6
72.3
72.3
72.9
73.9
75.8
77.2
Slope
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
0.3845
Hg
Concentration
(PPt)
147.7
149.3
68.4
68.7
114.7
115.2
55.4
54.9
100.1
105.9
39.0
38.5
58.3
58.0
1.30
0.78
0.78
1.04
0.78
109.8
110.8
196.9
198.2
214.6
216.1
217.4
217.9
215.3
217.4
209.9
210.1
191.4
194.0
188.0
188.0
189.6
192.2
197.1
200.8
Vol.
added
(mL)
0.2
0.2
0.2
0.2
0.2
0.2
1
1
1
1
1
1
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
0.0900
Corrected Hg
Concentration
(ng)
44.67
45.14
20.64
20.71
34.66
34.82
3.40
3.37
6.22
6.58
2.37
2.33
3.58
3.56
0.08
0.05
0.10
0.13
0.05
66.09
66.72
Weight
offish
fe)
0.2004
0.2004
0.1542
0.1542
0.1778
0.1778
0.1063
0.1063
0.0667
0.0667
0.0720
0.0720
0.1005
0.1005
0.014
0.014
Hg
Concentration
ppb
222.91
225.27
133.82
134.33
194.95
195.84
31.98
31.68
93.23
98.63
32.89
32.43
35.62
35.46
0.0008
4720.8
4765.6
0.1969
0.1982
0.2146
0.2161
0.2174
0.2179
0.2153
0.2174
0.2099
0.2101
0.1914
0.1940
0.1880
0.1880
0.1896
0.1922
0.1971
0.2008
Averaged
Result
ppb
224.09
134.08
195.39
31.83
95.93
32.66
35.54
0.07
0.11
0.0008
4743.19
Averaged
Reported
Result (ppb)
107.07
0.089
0.0008
4743.19
0.203
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
102.63
103.60
98.44
99.09
107.28
108.06
108.71
108.97
107.67
108.71
104.94
105.07
95.71
97.01
94.02
94.02
94.80
96.10
98.57
100.39
Standard
Deviation
31.68
0.0115
Relative
Standard
Deviation
0.7
5.67
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-738FSF-1
M5-738FSF-2
M5-738FSF-3
M5-738FSF-4
M5-738FSF-5
M5-738FSF-6
M5-738FSF-7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 47
DORM 47
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-17
CCV-18
QC
Batch
HO12KF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
Qualifier
Note
1^2=0.9994
Instrument
Reading
Peak Height
21.5
21.1
17.9
18.2
18.7
18.7
18.9
18.9
29.8
29.8
28
28.1
15.4
14.9
1.2
0.9
0.1
0.5
0.5
48.3
48.5
80.2
80.8
75.5
79.8
79.8
79.6
79.5
79.8
76.8
80
79.2
79.6
74.9
79.8
78.1
78
76.9
78.4
Slope
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
0.4012
Hg
Concentration
(PPt)
53.6
52.6
44.6
45.4
46.6
46.6
47.1
47.1
74.3
74.3
69.8
70.0
38.4
37.1
2.99
2.24
0.25
1.25
1.25
120.4
120.9
199.9
201.4
188.2
198.9
198.9
198.4
198.2
198.9
191.4
199.4
197.4
198.4
186.7
198.9
194.7
194.4
191.7
195.4
Vol.
added
(mL)
0.5
0.5
0.5
0.5
0.2
0.2
1
1
1
1
1
1
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.1275
0.1275
0.1275
0.1275
0.1275
0.1275
0.1275
0.1275
0.1275
0.1275
0.1275
0.1275
0.1275
0.1275
0.1275
0.1275
Corrected Hg
Concentration
(ng)
6.46
6.34
5.36
5.45
14.00
14.00
2.84
2.84
4.55
4.55
4.27
4.29
2.29
2.21
0.19
0.14
0.03
0.15
0.08
72.47
72.77
Weight
offish
fe)
0.1478
0.1478
0.1318
0.1318
0.1996
0.1996
0.0906
0.0906
0.1315
0.1315
0.0317
0.0317
0.0707
0.0707
0.0152
0.0152
Hg
Concentration
ppb
43.73
42.90
40.67
41.37
70.12
70.12
31.35
31.35
34.62
34.62
134.68
135.17
32.40
31.29
0.0012
4767.6
4787.3
0.1999
0.2014
0.1882
0.1989
0.1989
0.1984
0.1982
0.1989
0.1914
0.1994
0.1974
0.1984
0.1867
0.1989
0.1947
0.1944
0.1917
0.1954
Averaged
Result
ppb
43.32
41.02
70.12
31.35
34.62
134.93
31.85
0.16
0.09
0.0012
4777.45
Averaged
Reported
Result (ppb)
55.31
0.128
0.0012
4777.45
0.196
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
103.64
104.07
99.95
100.70
94.09
99.45
99.45
99.20
99.08
99.45
95.71
99.70
98.70
99.20
93.34
99.45
97.33
97.21
95.84
97.71
Standard
Deviation
13.98
0.0042
Relative
Standard
Deviation
0.3
2.14
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-828FSF-1
M5-828FSF-2
M5-828FSF-3
M5-828FSF-4
M5-828FSF-5
M5-828FSF-6
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 49
DORM 49
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-17
CCV-18
CCV-19
CCV-20
CCV-2 1
CCV-22
CCV-23
CCV-24
QC
Batch
HO16KF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
Qualifier
Note
1^2=1.0000
Instrument
Reading
Peak Height
83.9
84.1
24.8
24.6
54.1
53
152.9
152.9
67.8
67.7
107.9
108.6
1
0.5
0.2
0.2
0.55
49.5
49.8
85.7
86.6
85.8
86.1
84.8
84.6
82.3
85.4
87.7
88.1
86.1
90
90
90.7
86.1
89.8
90.4
90.9
86.8
90.8
89.6
89.7
89.6
89.5
Slope
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
0.4302
Hg
Concentration
(PPt)
195.0
195.5
57.6
57.2
125.8
123.2
355.4
355.4
157.6
157.4
250.8
252.4
2.32
1.16
0.46
0.46
1.28
115.1
115.8
199.2
201.3
199.4
200.1
197.1
196.7
191.3
198.5
203.9
204.8
200.1
209.2
209.2
210.8
200.1
208.7
210.1
211.3
201.8
211.1
208.3
208.5
208.3
208.0
Vol.
added
(mL)
0.5
0.5
0.1
0.1
0.1
0.1
1
1
1
1
0.5
0.5
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.0850
0.0850
0.0850
0.0850
0.0850
0.0850
0.0850
0.0850
0.0850
0.0850
0.0850
0.0850
0.0850
0.0850
Corrected Hg
Concentration
(ng)
23.90
23.96
34.68
34.40
75.75
74.20
22.31
22.31
9.84
9.83
30.77
30.97
0.15
0.07
0.06
0.06
0.08
69.30
69.72
Weight
offish
fe)
0.1472
0.1472
0.2229
0.2229
0.2527
0.2527
0.0928
0.0928
0.0316
0.0316
0.1142
0.1142
0.016
0.016
Hg
Concentration
ppb
162.39
162.77
155.57
154.31
299.74
293.64
240.37
240.37
311.51
311.05
269.40
271.15
0.0013
4331.1
4357.4
0.1992
0.2013
0.1994
0.2001
0.1971
0.1967
0.1913
0.1985
0.2039
0.2048
0.2001
0.2092
0.2092
0.2108
0.2001
0.2087
0.2101
0.2113
0.2018
0.2111
0.2083
0.2085
0.2083
0.2080
Averaged
Result
ppb
162.58
154.94
296.69
240.37
311.28
270.27
0.11
0.06
0.0013
4344.26
Averaged
Reported
Result (ppb)
239.36
0.084
0.0013
4344.26
0.204
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
94.15
94.73
99.60
100.65
99.72
100.07
98.56
98.33
95.65
99.26
101.93
102.39
100.07
104.60
104.60
105.42
100.07
104.37
105.07
105.65
100.88
105.53
104.14
104.25
104.14
104.02
Standard
Deviation
18.58
0.0056
Relative
Standard
Deviation
0.4
2.76
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
Sample
M5-944FSF-1
M5-944FSF-2
M5-944FSF-3
M5-944FSF-4
M5-944FSF-5
M5-944FSF-6
M5-944FSF7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 52
DORM 52
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-10
CCV-1 1
CCV-12
CCV-13
CCV-14
CCV-15
CCV-16
CCV-17
CCV-18
QC
Batch
HO15KF1
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
"
11
11
"
Qualifier
Note
1^2=0.9999
Instrument
Reading
Peak Height
98
96.1
38.6
39.8
77.6
77.6
66.3
70.1
36.7
36.8
30.5
32.6
23.3
23.5
2.8
2.6
0.4
0.4
0.6
41.3
40.7
83.4
84.2
79.2
82.9
83.2
82.5
82
82.3
82.3
82.7
82
82.8
81.1
81.8
78.9
80
80.1
79.7
Slope
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
Hg
Concentration
(PPt)
234.5
230.0
92.4
95.2
185.7
185.7
158.7
167.7
87.8
88.1
73.0
78.0
55.8
56.2
6.70
6.22
0.96
0.96
1.44
98.8
97.4
199.6
201.5
189.5
198.4
199.1
197.4
196.2
196.9
196.9
197.9
196.2
198.1
194.1
195.7
188.8
191.4
191.7
190.7
Vol.
added
(mL)
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.2625
0.2625
0.2625
0.2625
0.2625
0.2625
0.2625
0.2625
0.2625
0.2625
0.2625
0.2625
0.2625
0.2625
0.2625
0.2625
Corrected Hg
Concentration
(ng)
14.51
14.22
5.56
5.74
11.44
11.44
9.73
10.31
5.27
5.29
4.34
4.65
3.25
3.28
0.42
0.39
0.12
0.12
0.09
59.33
58.46
Weight
offish
fe)
0.0872
0.0872
0.0773
0.0773
0.0754
0.0754
0.0842
0.0842
0.0389
0.0389
0.0434
0.0434
0.0361
0.0361
0.0136
0.0136
Hg
Concentration
ppb
166.41
163.13
71.88
74.22
151.67
151.67
115.59
122.39
135.48
135.87
99.90
107.19
90.03
90.86
0.0014
4362.5
4298.9
0.1996
0.2015
0.1895
0.1984
0.1991
0.1974
0.1962
0.1969
0.1969
0.1979
0.1962
0.1981
0.1941
0.1957
0.1888
0.1914
0.1917
0.1907
Averaged
Result
ppb
164.77
73.05
151.67
118.99
135.67
103.54
90.45
0.41
0.12
0.0014
4330.70
Averaged
Reported
Result (ppb)
119.74
0.262
0.0014
4330.70
0.196
Detection
Limn7*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
94.84
93.45
99.78
100.74
94.76
99.19
99.55
98.71
98.11
98.47
98.47
98.95
98.11
99.07
97.03
97.87
94.40
95.72
95.84
95.36
Standard
Deviation
45.01
0.0037
Relative
Standard
Deviation
1.0
1.89
-------
10 % Recalculated Results for Total Mercury in Fish Tissue
Analyzed by Florida International University (SERC) for the September 1999 Wet Season (M5)
Entered by mwb 4-14-00
Checked by
NJS 4-14-00
Sample
M5-944FSF-1
M5-944FSF-2
M5-944FSF-3
M5-944FSF-4
M5-944FSF-5
M5-944FSF-6
M5-944FSF7
METHOD BLK-1
METHOD BLK-0.5
Instrument Blank
DORM 52
DORM 52
CCV-1
CCV-2
CCV-3
CCV-4
CCV-5
CCV-6
CCV-7
CCV-8
CCV-9
CCV-1 0
CCV-1 1
CCV-1 2
CCV-1 3
CCV-1 4
CCV-1 5
CCV-1 6
CCV-1 7
CCV-1 8
QC
Batch
HG15KF1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Qualifier
Note
1*2=0.9999
Instrument
Reading
Peak Height
98
96.1
38.6
39.8
77.6
77.6
66.3
70.1
36.7
36.8
30.5
32.6
23.3
23.5
2.8
2.6
0.4
0.4
0.6
41.3
40.7
83.4
84.2
79.2
82.9
83.2
82.5
82
82.3
82.3
82.7
82
82.8
81.1
81.8
78.9
80
80.1
79.7
Slope
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
0.4179
Hg
Concentration
(HP*)
234.5
230.0
92.4
95.2
185.7
185.7
158.7
167.7
87.8
88.1
73.0
78.0
55.8
56.2
6.70
6.22
0.96
0.96
1.44
98.8
97.4
199.6
201.5
189.5
198.4
199.1
197.4
196.2
196.9
196.9
197.9
196.2
198.1
194.1
195.7
188.8
191.4
191.7
190.7
Vol.
added
(mL)
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0.5
0.5
1
0.1
0.1
Average
Reagent
Blank (ng)
0.26 5
0.26 5
0.26 5
0.26 5
0.26 5
0.26 5
0.26 5
0.26 5
0.26 5
0.26 5
0.26 5
0.26 5
0.26 5
0.26 5
0.2625
0.2625
Corrected Hg
Concentration
(ng)
14.51
14.22
5.56
5.74
11.44
11.44
9.73
10.31
5.27
5.29
4.34
4.65
3.25
3.28
0.42
0.39
0.12
0.12
0.09
59.33
58.46
Weight
offish
(s>
0.0872
0.0872
0.0773
0.0773
0.0754
0.0754
0.0842
0.0842
0.0389
0.0389
0.0434
0.0434
0.0361
0.0361
0.0136
0.0136
Hg
Concentration
ppb
166.41
163.13
71.88
74.22
151.67
151.67
115.59
122.39
135.48
135.87
99.90
107.19
90.03
90.86
0.0014
4362.5
4298.9
0.1996
0.2015
0.1895
0.1984
0.1991
0.1974
0.1962
0.1969
0.1969
0.1979
0.1962
0.1981
0.1941
0.1957
0.1888
0.1914
0.1917
0.1907
Averaged
Result
ppb
164.77
73.05
151.67
118.99
135.67
103.54
90.45
0.41
0.12
0.0014
4330.70
Averaged
Reported
Result (ppb)
119.74
0.262
0.0014
4330.70
0.196
Detection
Limit/*3
ppb
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
3.2/9.6
SPK
CONC
(ppb)
4600
4600
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
R%
94.84
93.45
99.78
100.74
94.76
99.19
99.55
98.71
98.11
98.47
98.47
98.95
98.11
99.07
97.03
97.87
94.40
95.72
95.84
95.36
Standard
Deviation
45.01
0.0037
Relative
Standard
Deviation
1.0
1.89
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-622-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/30/99
10/25/99
10/25/99
X
FS = FI = Fh = Fish
09/30/99
10/13/99
10/13/99
X
FS = FI = Fh = Fish
09/30/99
10/13/99
10/13/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
170
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
Yes
No
NA
Yes
No
NA
Yes
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG21JF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
0.9989
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-622-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-633-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/29/99
10/26/99
10/26/99
X
FS = FI = Fh = Fish
09/29/99
10/14/99
10/14/99
X
FS = FI = Fh = Fish
09/29/99
10/14/99
10/14/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
41
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
Yes
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG22JF1
All Good
Good
<20 RSD
65.48%
All Good
3. 2 ppb and >
1
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
"M"
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-633-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
"M"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-643-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/29/99
10/27/99
10/27/99
X
FS = FI = Fh = Fish
09/29/99
10/19/99
10/19/99
X
FS = FI = Fh = Fish
09/29/99
10/19/99
10/19/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
45
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
Yes
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG26JF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
0.9998
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-643-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-653-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/28/99
10/27/99
10/27/99
X
FS = FI = Fh = Fish
09/28/99
10/21/99
10/21/99
X
FS = FI = Fh = Fish
09/28/99
10/21/99
10/21/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
8.2
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
Yes
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG28JF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
0.9982
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-653-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-663-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/27/99
11/02/99
11/02/99
X
FS = FI = Fh = Fish
09/27/99
11/22/99
11/22/99
X
FS = FI = Fh = Fish
09/27/99
11/22/99
11/22/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
130
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
No (Goal Only)
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG21JF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
0.999
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
"H"
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-663-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-673-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/27/99
11/08/99
11/08/99
X
FS = FI = Fh = Fish
09/27/99
10/25/99
10/25/99
X
FS = FI = Fh = Fish
09/27/99
10/25/99
10/25/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
170
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
No (Goal Only)
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG29JF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
0.9993
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-673-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-683-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/26/99
11/04/99
11/04/99
X
FS = FI = Fh = Fish
09/26/99
10/27/99
10/27/99
X
FS = FI = Fh = Fish
09/26/99
10/27/99
10/27/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
220
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
No (Goal Only)
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG01JF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
0.9998
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
"H"
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-683-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-693-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/25/99
10/27/99
10/27/99
X
FS = FI = Fh = Fish
09/25/99
10/27/99
10/27/99
X
FS = FI = Fh = Fish
09/25/99
10/27/99
10/27/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
150
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
No (Goal Only)
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG02KF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
0.9996
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
"H"
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-693-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-703-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/24/99
11/05/99
11/05/99
X
FS = FI = Fh = Fish
09/24/99
10/27/99
10/27/99
X
FS = FI = Fh = Fish
09/24/99
10/27/99
10/27/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
250
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
No (Goal Only)
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG05KF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
0.9991
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
"H"
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-703-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-714-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/23/99
10/25/99
10/25/99
X
FS = FI = Fh = Fish
09/23/99
11/01/99
11/01/99
X
FS = FI = Fh = Fish
09/23/99
11/01/99
11/01/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
240
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
No (Goal Only)
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG05KF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
0.9991
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
"H"
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-714-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-726-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/23/99
11/09/99
11/09/99
X
FS = FI = Fh = Fish
09/23/99
11/02/99
11/02/99
X
FS = FI = Fh = Fish
09/23/99
11/02/99
11/02/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
110
174.1
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
No (Goal Only)
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG09KF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
0.9999
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
"H"
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-726-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-738-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/22/99
11/12/99
11/12/99
X
FS = FI = Fh = Fish
09/22/99
11/04/99
11/04/99
X
FS = FI = Fh = Fish
09/22/99
11/04/99
11/04/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
57
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
No (Goal Only)
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG12KF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
0.9994
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
"H"
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-738-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-828-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/29/99
11/16/99
11/16/99
X
FS = FI = Fh = Fish
09/29/99
11/08/99
11/08/99
X
FS = FI = Fh = Fish
09/29/99
11/08/99
11/08/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
240
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
No (Goal Only)
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG16KF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
1
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
"H"
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-828-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
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September (M5) 1999 Samples for Critical Parameters Analyzed by SERC
With the 10% Full QA/QC Review
Station ID
Laboratory Records
Data Report (Attached)
Laboratory ID Code
Sampling Location ID
Sample Type
Collection Date
Digestion Date
Analysis Date
QC Batch ID
Digestion Volume
Total Volume
Sample Volume Analyzed
Dilution
Results
Measuring Unit
EPA Method
Analyst
Method Detection limit
Data Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
Holding Time Met
QC Report (Attached)
Laboratory ID Code
QC Batch ID
Method Blanks
Instrument Blanks
Duplicates (RSD)
Matrix Spike Recoveries (75-125)
Blank Spike/CCV Recoveries
Detection Range
Correlation Coefficient (>0.995)
QC Report (Verified)
Lab Data Entry Checked by Analyst
All Calculation Checked
QC Limits Met
Notes
M5-944-FSF Fish
Total Hg
Length
Weight
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
X
FS = FI = Fh = Fish
09/22/99
11/15/99
11/15/99
X
FS = FI = Fh = Fish
09/22/99
11/08/99
11/08/99
X
FS = FI = Fh = Fish
09/22/99
11/08/99
11/08/99
The Batch Numbers are referenced by the Sample ID range. They are specific to this project.
7 Fish
7 Fish
Aliquot
500-1000
120
ppb
CVAF
FDL/JL
3. 2 ppb
NA
7 Fish
7 Fish
NA
See Database
mm
Measurement
MB
NA
NA
7 Fish
7 Fish
NA
See Database
g
Measurement
MB
NA
Yes (FTN Associates)
Yes (FTN Associates)
No (Goal Only)
No
NA
No (Goal Only)
No
NA
No (Goal Only)
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
HG15KF1
All Good
Good
<20 RSD
All Good
All Good
3. 2 ppb and >
0.9999
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
By: Date/Time
NA
NA
NA
NA
NA
NA
NA
Yes (FTN Associates)
Yes (FTN Associates)
"H"
NA
NA
NA
NA
No descriptive narratives were provided by FIU.
Holding time goals set for the length and weight measurements are guidelines only.
Documentation on how the fish samples were stored (Frozen, 4 C, preserved) was not provided.
-------
Station ID
M5-944-FSF
Fish
Total Samples/Matrix
Methods/Parameters
Range of Samples analyzed
Holding Time Summary
Analytical Problems
QA/QC Acceptance Limits
Integrity of Data Quality
Deviations From SOP
Observations
Sample Management Records
Sampling Location ID
Matrix
Preservative (Acid, Temp..)
Collection Data/Time
Laboratory ID Code
Sample Handling/Storage
Log-in Procedures
Raw Data (Attached)
Sample Work Sheets
Sample Run Logs
Instrument Raw Data
Bench Sheets
Sample Preparation Logs
Raw Data (Verified)
Sample ID Transferred
All Calculation Checked
Measuring Unit
PE Results (Attached)
Organization
Performance (Pass/Fail)
Validation Criteria
Applied Qualifiers [
Total Hg
Length
Weight
The Narrative Section will be written after all of the analyses are completed
X
X
Not Noted
X
X
X
Not Noted
X
X
X
Not Noted
X
FIU/SERC Laboratory uses the same ID as the Sampling Station ID
Samples kept in the Hg laboratory area.
Internal COC
Internal COC
Internal COC
X
X
X
X
X
X
Notes are the raw data and the instrument data.
X
X
X
X
X
X
X
X
ppb
X
X
mm
X
X
g
NA
NA
NA
NA
NA
NA
"H"
X = Attached or Verified
Data Qualifiers
" J" Concentration reported should be considered an estimate. The data are acceptable for the use as determined by specific data users but certain QC criteria were not
met
"Reject" Batch QC data did not meet DQO required accuracy/precision criteria required to allow use as stated
"R2" Correlation Coefficient is out of QAPP limits.
"M" Analyte exhibits potential matrix effect based on matrix spike recovery outside of 75 to 125% range.
"B" Analyte concentration in the associated blank was >3 times the MDL.
"H" Analysis digestion performed after holding times have expired.
"NR" Data was unavailable for review.
"DQO" Precision and/or Accuracy results are out of the Data Quality Objective/QAPP control limits.
-------
INTERLABORATORY COMPARISONS
-------
September 1999 Samples
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X
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Lab
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-------
O)
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R2 = 0.895
o
0.0 0.2 0.4 0.6 0.8
Mean Water Depth (m)
-------
September 1999 Samples
3
CD
0)
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10
9
8
7
6
5
4
3
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-------
September 1999 Samples
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-------
September 1999 Samples
CD
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40
30
20
0
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September 1999 Samples
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A Battelle
-------
September 1999 Samples
JP
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0)
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300
250
200
150
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i i i
X
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0
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1 1 1
M652 M682 M719
Lab
x SERC
o SESD
-------
September 1999 Samples
400
O)
,- 300
„
.a
I 200
O
O)
x 100
0
i i i i i i i i i i
o
X
X
x o
X
I I I I I I I I I I
Lab
o SERC
x SESD
-------
September 1999 Samples
500
05 400
o
o
O
I
300
3 200
o
100
M630 M634 M636
Lab
x SERC
o SESD
-------
September 1999 Samples
_£5 tU
f 30
Q.
S. 20
"CD
0, 10
"CD
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t i i i i
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-
X
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Lab
x SERC
o cccn
-------
APPENDIX D: Data Files
The following are Microsoft Excel spreadsheet files. These files should be able to load into a variety of other spreadsheet
applications such Lotus 123, etc.You may need to specify within your application the file format (Excel *.xls).
P12join7FINAL.xls (multimedia chemistry data)
EPAM4M5.xls (diatom data)
NEWPAFIELD~JRl.xls (macrophyte presence/absence data)
ugacy45doml.xls (aerial photo interp. of dominant vegetation (areas))
CYCLE4sec.xls (aerial photo secondary vegetation)
CYCLE5sec.xls (aerial photo secondary vegetation)
CYCLE4secP.xls (aerial photo percent secondary vegetation)
CYCLE5secP.xls (aerial photo percent secondary vegetation)
JRcljsagmorphclean.xls (macrophyte morphological data)
Guts_individual_fish.xls
The following files contain several 1x1 km map files (Adobe Acrobat pdf files)
Cycle 4, Everglades Agricultural Area (maps-cycle4-eaa.pdf )
Cycle 4, Everglades National Park (maps-cycle4-enp.pdf )
Cycle 4, Water Conservation Area 1 (maps-cycle4-wcal.pdf )
Cycle 4, Water Conservation Area 2 (maps-cycle4-wca2.pdf )
Cycle 4, Water Conservation Area 3 (maps-cycle4-wca3.pdf )
Cycle 5, Everglades Agricultural Area (maps-cycle5-eaa.pdf )
Cycle 5, Everglades National Park (maps-cycle5-enp.pdf )
Cycle 5, Water Conservation Area 1 (maps-cycle5-wcal.pdf )
Cycle 5, Water Conservation Area 2 (maps-cycle5-wca2.pdf )
Cycle 5, Water Conservation Area 3 (maps-cycle5-wca3.pdf )
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