EPA/600/3-86/011a
March 1986
STREAM TRANSPORT AND AGRICULTURAL
RUNOFF OF PESTICIDES FOR EXPOSURE
ASSESSMENT: A METHODOLOGY
Part A--Text and Appendices A through F
by
A.S. Donigian, Jr., D.W. Meier, and P.P. Jowise
Anderson-Nichols & Co., Inc.
Palo Alto, CA 94303
Contract No. 68033116
Project Officer
Lee A. Mulkey
Assessment Branch
Environmental Research Laboratory
Athens, GA 30613
ENVIRONMENTAL RESEARCH LABORATORY
OFFICE OF RESEARCH AND DEVELOPMENT
U.S. ENVIRONMENTAL PROTECTION AGENCY
ATHENS, GA 30613
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DISCLAIMER
The information in this document has been funded wholly or
in part by the United States Environmental Protection Agency un-
der Contract No. 68033116 to Anderson-Nichols & Co., Inc. It has
been subject to the Agency's peer and administrative review, and
it has been approved for publication as an EPA document. Mention
of trade names or commercial products does not constitute endorse-
ment or recommendation for use.
11
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FOREWORD
As environmental controls become more costly to implement
and the penalties 'of judgment errors become more severe, environ-
mental quality management requires more efficient management tools
based on greater knowledge of the environmental phenomena to be
managed. As part of this Laboratory's research on the occurrence,
movement, transformation, impact, and control of environmental
contaminants, the 'Assessment Branch develops state-of-the-art
decision tools for environmental and human risk assessments.
As part of the Federal Insecticide, Fungicide, and Rodenti-
cide Act requirements, an exposure assessment is performed as part
of the registration process for pesticides intended for use in
the United States. This assessment seeks to estimate environmen-
tal concentrations and resulting exposures to humans and other
organisms, including those from agricultural runoff into surface
waters. This manual describes a technique for rapidly estimating
these concentrations that is 'the lates't product of more than a
decade of research conduct at this Laboratory. Although there
are some limitations and uncertainties that should be clearly
understood by the user, the methodology should provide for ac-
curate screening-level assessments for the many agricultural
pesticides submitted for registration.
Rosemarie C. Russo, Ph.D.
Director •
' " Environmental Research Laboratory
Athens, Georgia
xix
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ABSTRACT
To predict the potential environmental or human health
risk posed by agricultural pesticides, exposure assessments
require the estimation of chemical concentrations in field
runoff and in associated water bodies. In this report a
methodology is described for estimating the mean, maximum,
frequency, and duration of pesticide concentrations, and the
maximum daily pesticide runoff and its frequency for various
agricultural crops and regions across the country. The Stream
Transport and Agricultural Runoff of Pesticides for Exposure
Assessment Methodology (called STREAM for convenience of
reference) is designed for screening-level analyses to provide
the order-of-magnitude accuracy appropriate for exposure assess-
ment with minimal investment in time and resources.
The specific crops included in STREAM are corn, soybeans,
cotton, wheat, and sorghum. Two major crops are considered in
four agricultural regions—Southeast, Mississippi Delta, East-
ern Cornbelt, and Western Cornbelt. STREAM has the potential for
application to other crops and regions.
STREAM was developed by applying the Hydrological Simula-
tion Program—FORTRAN to various test watersheds in each agri-
cultural region, defining a "representative" watershed (based
on regional conditions and the test watershed), and performing
sensitivity analyses on key pesticide parameters to generate
cumulative frequency distributions of pesticide concentrations
'and loadings in each region. HSPF is a comprehensive watershed
hydrology and water quality model that was developed specifical-
ly for analyzing pesticide transport and transformation in agri-
cultural watersheds. Thus, the user of STREAM is required to
evaluate only the crops and regions of interest, the pesticide
application rate, and three pesticide parameters—Koc, organic
carbon partition coefficient; ks, soil/sediment decay rate; and
kw, solution decay rate—in order to obtain pesticide loadings
and concentrations. Included in the manual are detailed dis-
cussions of the STREAM application procedures, assumptions,
limitations, and uncertainties, and methodology development.
This report is submitted in partial fulfillment of con-
tract number 68033116 by Anderson-Nichols & Co., Inc., under
the sponsorship of the U.S. Environmental Protection Agency.
This report covers the period October 1983 to September 1985,
and work was completed as of January 1986.
IV
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CONTENTS
Page
Foreword ill
Abstract iv
Figures vii
Tables viii
Acknowledgments x
1. Introduction 1
1.1 Purpose and Scope 2
1.2 Required User Background and Tranining ..... 4
1.3 Format of the Manual "....'... 4
2. Development and Application of STREAM 6
2.1 Methodology Development and Overview 6
2.2 STREAM Application Procedures 13
2.3 Interpretation and Use of Results 27
2.4 STREAM Assumptions, Limitations, and Uncertainty. 31
3. Example Applications 36
3.1 Example No. 1: No Interpolation Required .... 36
3.2 Example No. 2: Interpolation Required for All
Parameters 38
3.3 Example No. 3: Comparison of STREAM Predictions
to HSPF Modeling of Alachlor in the Iowa River. . 40
4. Methodology Development 44
4.1 Definition and Selection of Agricultural Regions. 45
4.2 HSPF Application to Regional Watersheds 51
4.3 Development of Regional "Representative"
Watersheds 62
4.4 Pesticide Parameters and Assumptions 84
4.5 Simulation Runs and Production of Frequency
Curves 98
References 102
Appendices
A. Pesticide Concentration and Runoff Frequency
Curves for the Southeast Region A-l
B. Pesticide Concentration and Runoff Frequency
Curves for the Mississippi Delta Region B-l
v
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CONTENTS (Cont'd)
Page
Appendices .. . . .
C. Pesticide Concentration and Runoff Frequency
Curves for the Eastern Cornbelt '.' '. . . . .•". . . C-l
D. Pesticide Concentration and Runoff Frequency
Curves for the Western Cornbelt D-l
E. Pesticide Concentration and Runoff Frequency
Curves for the Central Plains Region (incomplete) E-l
F. Analysis of Time Series Data F-l
G. Little River, Georgia: Watershed Data, Segmenta-
tion, and HSPF Calibration/Verification Report . G-l
H. Yazoo River, Mississippi: Watershed Data, Seg-
mentation, and HSPF Calibration/Verification
Report H-l
I. Honey Creek, Ohio: Watershed Data, Segmentation,
and HSPF Calibration/Verification Report .... 1-1
J. Iowa River, Iowa: Watershed Data, Segmentation,
and HSPF Calibration/Verification Report .... J-l
K. Turkey Creek, Nebraska: Watershed Data and
Segmentation Report K-l
VI
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FIGURES
Page
2.1 Developmental pathways for STREAM 7
2.2 Overview of pesticide exposure assessment with STREAM 14
2.3 Explanation of figure matrices for locating pesticide
concentration frequency curves ... 19
2.4 Explanation of pesticide cumulative frequency
concentration curves 22
2.5 Explanation of pesticide cumulative frequency
loading curves . 23
2.6 Time series of toxicant concentrations with moving
average window of duration 28
4.1 Locations- of agricultural regions and HSPF applica-
tion watersheds 46
4.2 Average annual distribution of precipitation .... 47
4.3 Generalized hydrologic soil groups for United States. 48
4.4 Corn and soybean acreage in the United States .... 49
4.5 Wheat, cotton, and sorghum acreage in the United
States 50
4.6 Little River research watershed, Georgia 54
4.7 Yazoo Basin and study area location map 56
4.8 Location of Honey Creek Basin 58
4.9 Location of the Iowa River Basin 59
4.10 Location of Turkey Creek Watershed 61
4.11 Schematic of representative watershed drainage and
- reach configuration ... t ........ 77
VII
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4.12 Sample comparison of initial conditions with
year-end pesticide bed concentrations and soil
residues 99
TABLES
Page
2.1 Values of key methodology parameters for sensitivity
analysis 13
2.2 Regression equations for the estimation of Koc ... 17
2.3 Weighted Kd values for estimating suspended pesti-
cide concentrations from solution concentrations . . 30
4.1 Selected characteristics of HSPF application
watersheds 46
4.2 Key characteristics of the defined agricultural
regions 51
4.3 Land use/crop distribution for agricultural regions
and representative watersheds 65
4.4 Assumed sand/silt/clay percentages for sediment
edge-of-stream loadings 68
4.5 Assumed soil bulk densities for each agricultural
region 69
4.6 Assumed percent organic carbon for each soil layer . 70
4.7 Assumed percent organic carbon for size fractions
of suspended and bed sediments 71
4.8 Summary of meteorologic data used in representative
watershed 10-year simulations 72
4.9 Summary of power functions for STREAM character-
istics 80
4.10 Summary of computed channel characteristics for the
downstream-most reach in each region 80
4.11 Distinguishing characteristics of conservation
tillage and conventional tillage 82
4.12 Primary characteristics of "conventional"
agricultural practices assumed in this study .... 84
viii
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4.13 Annual target dates for agricultural activities ... 85
4.14 HSPF pesticide parameters and methodology
assumptions 86
4.15 Calculation of partition coefficients from Koc and
% oc for the Southeast Region • . . 88
4.16 Calculation of partition coefficients from Koc and
% oc for the Mississippi Delta Region 89
4.17 Calculation of partition coefficients from Koc and
% oc for the Eastern Cornbelt Region 90
4.18 Calculation of partition coefficients from Koc and
% oc for the Western Cornbelt Region 91
4.19 Calculation of partition coefficients from KOc and
% oc for the Central Plains Region 92
4.20 Values of key methodology parameters for sensi-
tivity nalaysis 101
IX
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ACKNOWLEDGMENTS
This work represents the product of almost 15 years of model
development, testing, and applications for analyzing pesticide
runoff and stream concentrations, sponsored by the U.S. EPA.,
Environmental Research Laboratory in Athens, Georgia.
Obviously, this manual would not have been possible without
the body of research sponsored by the EPA Athens laboratory
and the financial support for this project.
The personal involvement and technical guidance provided by
Mr. Lee A. Mulkey, the EPA Project Officer, is gratefully
acknowledged as a major ingredient in the successful
completion of this work. In addition, various members of the
Technology Development and Applications Branch of the Athens
laboratory provided technical assistance, data, and
recommendations throughout the project; their assistance is
sincerely appreciated.
A variety of organizations and individuals provided data,
information, and assistance related to the specific HSPF
applications to the test watersheds in each region. Their
contributions are acknowledged in the appropriate appendices
(G through K) on each HSPF watershed application. In
addition. Dr. Lee A. Christensen, USDA-ERS, in Athens, Georgia
provided data and review of the regional agricultural land
use/crop distribution and agricultural practices based on his
acknowledged expertise in this area.
Among the authors, Mr. Anthony Donigian was the Project
Director responsible for overall guidance, technical
direction, and preparation of the final report. Mr. Dan Meier
was Project Engineer, directing the meteorologic data
preparation, performing HSPF production runs and executing
HSPF applications to the Little River and Honey Creek
watersheds. Mr. Peter Jowise performed the HSPF applications
to the Yazoo River and Turkey Creek, and assisted in the
representative watershed development and preparation of the
frequency diagrams.
Additional Anderson-Nichols staff participated in various
aspects of the project. Mr. Douglas Beyerlein was involved
initially as Project Manager directing HSPF applications and
hydrologic calibration, and supervising meteorologic data
preparation. Mr. J. David Dean participated in hydrologic and
x
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sediment calibration, and analysis of statistical performance
tests, and pesticide parameter relationships; Mr. Dean also
prepared the initial draft of Appendix P., Analysis of Time
Series Data. Dr. Benjamin Roberts developed procedures for
estimating drainage area relationships and channel
characteristics for the representative watersheds, and Mr.
Mark Hersh assisted in developing meteorologic databases and
frequency diagrams.
Word Processing was performed by Ms. Dorothy Inahara, Ms.
Arinthia Jones and Ms. Carol McCullough, and report graphics
were prepared by Ms. Marythomas Hutchins. All four
individuals contributed to the successful completion of the
project? their efforts are acknowledged and appreciated.
XI
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SECTION 1
INTRODUCTION
As part
Fungicide,
Protection
pesticidal
assessment
in order
resulting
resulting
and other
of many
of its mandate under the Federal
and Rodenticide Act (FIFRA), the U.S.
Agency is required to register
compounds for use in the U.S.
Insecticide,
Environmental
and approve
An exposure
is performed as part of this registration process
to estimate environmental concentrations ^nd
chemical exposure to humans and other organisms
from applications for agricultural, silvicultural,
purposes. Because of the.toxicity and persistence
pesticides and their ubiquitous use in modern
agriculture, the runoff of pesticides from agricultural fields
and the resulting concentrations in surface water bodies i's a
major environmental concern. ;
A complex interaction of natural events, chemical processes,
and human intervention combine to produce pesticide
concentrations in surface waters that are high enough to /cause
concern for potential human exposure and impact on aquatic
organisms. In general, three conditions create' the
circumstances under which pesticide residues in surface /water
will occur: (1) applied pesticide persists on the land
surface or in the soil profile long enough for subsequent
transport in runoff, in subsurface flow, and on ,'eroded
sediments; (2) rainfall, infiltration and storm runoff /occurs
during the time period when pesticides reside on or ''in the
soil; and (3) the resulting pesticide runoff reaching .surface
waters persists long enough in the aquatic system to, affect
potential exposure to humans and aquatic organisms (Mulkey and
Donigian, 1984).
Thus, the ultimate fate and migration of pesticides involves
both a land/soil phase and a stream or aquatic phase. The
land/soil phase produces pesticide loadings to water bodies
and to ground water depending on the relative timing of
applications and storm events; soil and chemical
characteristics; topographic and geologic characteristics, and
agronomic and engineering practices. After application,
pesticides are subjected to numerous physical, chemical, and
biological processes that transport, transform, aiid degrade
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the compound. The partitioning of the pesticide between the
dissolved phase and the sorbed phase determines whether it
will be transported with surface runoff or infiltration to
ground water, or with eroded sediments from the land surface
to the stream. For pesticides on the land surface,
volatilization and photolysis can result in significant losses
of the compound with less available to reach surface waters
through runoff. Below the - land surface, microbial
degradation, hydrolysis, and plant uptake combine to control
the persistence of the pesticide and thus its overall
availability to reach surface water bodies through subsurface
flow paths.
Pesticide loadings from the land/soil phase enter the stream
system by either surface or subsurface pathways and then are
transported, transformed, and degraded in the stream.
Interactions with suspended and bed sediments will cause a
redistribution of the pesticide between the dissolved and
sorbed states; the dissolved pesticide will move with the
streamflow whereas the sorbed pesticide may reside in the
stream bed or move with the suspended sediments. The
pesticide included in the stream bed sediments may
subsequently desorb back into a dissolved phase and re-enter
the streamflow days, months, or years after its initial
attachment to the bed. Various transformation and degradation
processes such as volatilization, hydrolysis, photolysis,
oxidation, and microbial degradation, can occur at various
rates in both the moving water and stream bed environments.
These processes and their rates control the extent to which
the pesticide loadings impact both the magnitude and
variability of concentrations in the stream system throughout
the watershed.
1.1 PURPOSE AND SCOPE
The objective of this work was to develop a procedure or
methodology for rapidly estimating pesticide runoff and
concentrations that are likely to occur in surface waters as a
result of agricultural pesticide applications. This
information is required as part of the exposure assessments
performed by the EPA Office of Pesticide Programs when new
pesticides are submitted for registration, when new uses are
proposed for existing pesticides, and when existing pesticides
are being re-evaluated because of concern for human health or
environmental risk. The hundreds of exposure assessments to
be performed annually underscores the need for simple
procedures that can be completed rapidly (i.e. within a few
days) and not require an extended investigation with an
associated investment in time and resources. This need for
speed and simplicity is acquired, by necessity, at the expense
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of accuracy. For the screening-level assessments for which1
concentrations estimates are required, order-of-magnitude
accuracy is the generally accepted criterion for environmental
concentrations for exposure assessments (EPA, 1982).
Inclusion ot all crops and all agricultural regions was well
beyond the scope and resources available tor this study. Con-
sequently, we limited our analysis to the primary crops of corn,
soybeans, cotton, wheat, and sorghum. The specific agricultural
regions included in the methodology are listed below with the
specific crops analyzed:
Region Crops
Southeast Corn, Soybeans
Mississippi Delta Cotton, Soybeans
Eastern Cornbelt Corn, Soybeans
Western Cornbelt Corn, Soybeans
Central Plains Wheat, Sorghum (Incomplete)
The number of regions selected for analysis was primarily due
to resource limitations. The selection of specific regions
and associated crops was derived from information on the
primary production crops and regions in the U.S., and the
availability of detailed site-specific watershed meteorologic,
hydrologic, and sediment data to support model calibration and
verification, as described in Section 4. Although the STREAM
procedures are currently limited to the five regions and crops
listed above, the methodology is designed to be readily
extended to include additional regions and crops as resources
become available.
The scope of the methodology is further limited by a number of
assumptions employed in the development of the procedures.
Only non—i rr ig a ted ag r icu11 u r e is considered since irrigation
is relatively minor in most of the regions studied.
Conventional agricultural practices were defined for each
region and used in the methodology. Only a single surface
chemical application at or near the time of planting is
considered, corresponding to preplanting, planting, or
post-emergence type applications. The procedures are
restricted to organic, hydrophobic compounds due to the
methods of representing sorption and decay processes in the
HSPF model (Johanson et al., 1984) used in the regional
simulations. In spite of these limitations, the STREAM
procedures provide a flexible means of quickly estimating
pesticide loadings and concentrations for screening-revel
exposure assessments.
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1.2 REQUIRED USER BACKGROUND AND TRAINING
Normally, the development of environmental concentrations of
pesticides for an exposure assessment would require expertise
in a wide variety of disciplines/ including hydrology,
watershed modeling, sediment erosion, sediment transport, soil
science, and environmental chemistry. Unfortunately this mix
and breadth of experience is rarely available to the extent
needed in a single organization. Consequently the STREAM
procedures were specifically designed to minimize the
expertise required by the user except in the areas of
environmental chemistry and soil science. The approach of
calibrating and verifying HSPF in each region, and then
generating frequency-duration curves for selected combinations
of key pesticide characteristics precludes the need for
watershed modeling (and associated) expertise by the user.
However, a firm background in soil science and environmental
chemistry of pesticides is still required to properly evaluate
the key methodology parameters and appreciate their
variability and uncertainty.
Training in the use of the procedures described herein is
required for proper application and interpretation of
predicted pesticide loadings and concentrations. This
training must result in a full comprehension of the
assumptions, limitations, and potential uncertainty in both
the modeling techniques and the methodology development, in
addition to the specific calculational procedures of STREAM.
Although the user need not be an expert in watershed modeling,
he must appreciate the various assumptions and limitations in
the HSPF representation of pesticide transport and fate in
watershed systems to properly interpret the methodology
results in light of the specific compound being analyzed.
1.3 FORMAT OF THE MANUAL
Following this Introductory Section, Section 2 describes the
overall development of STREAM and discusses in detail the
application procedures, interpretation and use of results, and
primary assumptions, limitations, and uncertainty in the
methodology. The user should carefully study Section 2 for
proper use of STREAM. Section 3 provides completed examples
of using STREAM with step-by-step descriptions of the use of
the frequency curves and of the required calculations.
Section 4 presents the complete development of the methodology
to provide the necessary background on how the frequency
curves were developed.
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Appendices A through E include* the frequency curves for
pesticide solution and bed concentrations, and pesticide
loading for each agricultural region in the following order:
A. Southeast
B. Mississippi Delta
C. Eastern Cornbelt
D. Western Cornbelt
E. Central Plains (Incomplete)
Each of these appendices include three tables which are the
figure matrices, i.e., they show the specific figure number in
the appendix for a specific combination of key methodology
parameters. The three tables are for the pesticide solution
concentration, bed concentration, and loading figures,
respectively. These tables are followed by 150 frequency
curves: 72 solution concentration frequency curves (i.e. 36
for each crop), 72 bed concentration frequency curves, and 6
pesticide loading frequency curves.
Appendix F provides a general description of statistical
analysis of time series data to provide the user with
background on the development and interpretation of
frequency-duration , curves and various statistical
goodness-of-fit tests used in model calibration and
verification. Appendices G through K are the watershed data,
segmentation, and HSPF calibration/verification reports for
each application watershed, in the following order:
G. Little River, GA
H. Yazoo River, MS
I. Honey Creek, OH
J. Iowa River, IA
K. Turkey Creek, NB (incomplete)
Note: Appendices G through K are presented in
Part B of this manual (EPA/600/3-86/001b), which
is available from the National Technical Informa-
tion Service, 5285 Port Royal Road, Springfield
VA 22161 (telephone: 703-487-4650).
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SECTION 2
DEVELOPMENT AND APPLICATION OF STREAM
In order to promote the intelligent use of the STREAM
procedures, this section provides both an overview of the
development process and a detailed description of the
recommended application procedures. The overview is included
here so that the potential user comprehends the various steps
involved in the STREAM development before actually using the
procedures; a complete detailed discussion of the methodology
development is provided in Section 4. Each step in the
application procedure is described, followed by a discussion
on the interpretation and use of the pesticide concentration
and loading frequency curves included in Appendices A through
E. Finally, the assumptions, limitations, and uncertainty
associated with both the model and methodology procedures are
enumerated and discussed to allow a realistic appraisal of the
specific concentration and loading values obtainable with
STREAM.
2.1 METHODOLOGY DEVELOPMENT OVERVIEW
Development of the STREAM procedures involved
sequence of activities:
the following
a. Definition/selection of agricultural regions and
model application watersheds.
b. HSPF applications to regional watersheds.
c. Development of regional "representative" watersheds.
d. Sensitivity analyses on key pesticide properties.
e. Development of pesticide frequency-duration
information.
Figure 2.1 schematically shows the developmental pathway for
STREAM demonstrating the interrelationships of these
activities. Definition and selection of the specific
agricultural regions and their approximate boundaries was
governed by regional characteristics, such as climate, soils,
topography, and cropping, and the existence of potential HSPF
application sites. The criteria for selecting application
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AGRICULTURAL REGION
AND
WATERSHED SELECTION
OBSERVED PLOW
SIMULATED FLOW
HSPF TRANSPORT
CALIBRATION/VERIFICATION
REGIONAL!
CLIMATE I
CROP
DISTRIBUTION
^
t
HM«d^
F.QK..IO ^& ^
UO P. 1 1.0
Figure 2.1 Developmental pathways for STREAM.
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sites was the availability of sufficient meteorologic,
hydrologic, and sediment data to support a valid HSPF
calibration/verification for the chemical transport mechanisms
of runoff, erosion, streamflow, and sediment transport.
Although deficiencies existed primarily in the available
sediment data, watersheds with the best overall data base were
chosen and then regional information was analyzed to determine
the extent to which the individual watershed was
representative of a larger region.
Regional meteorologic, soils, topographic, and cropping
characteristics on a national basis were overlayed to define
approximate regional boundaries. These regions were then
compared to the locations of the HSPF application watersheds
and the boundaries were subsequently constricted in order not
to imply that the selected watershed was able to represent a
region larger than could be reasonably expected. Thus the
regional meteorologic, soils, and topographic characteristics
were considered constraints on the extent of area whose
hydrologic response could be reasonably represented by a
single watershed. Section 4,1 provides more detailed
information on the region boundary definition process.
Since the STREAM procedures provide screening-level analyses,
with an associated order-of-magnitude accuracy in the
pesticide concentration and loading estimates, considerable
latitude was possible in defining the region boundaries.
Although the boundaries are clearly marked on Figure 1.1, they
are approximate boundaries and, by no means, definitive. They
represent general regions within which the procedures
described herein can be used to estimate instream pesticide
concentrations and runoff loadings for screening-level
analyses.
The Hydrologic Simulation Program-FORTRAN (HSPF) (Johanson et
al., 1984) was selected to perform the model simulations on
the regional watersheds because it is the only comprehensive
model of watershed hydrology and water quality that allows the
integrated simulation of land and soil pesticide runoff
process with instream hydraulic and sediment-chemical
interactions. In this way, the impacts of regional
differences in climate, soils, topography, and cropping, that
influence pesticide runoff, are directly considered in
estimating pesticide stream concentrations likely to occur in
different agricultural regions. HSPF and the earlier models
from which it was developed have been extensively applied in a
wide variety of hydrologic and water quality studies (Barnwell
and Johanson, 1981; Barnwell and Kittle, 1984) including
pesticide runoff model testing (Lorber and Mulkey, 1981),
aquatic fate and transport model testing (Mulkey et at.,
1982), analyses of agricultural best management practices in
Iowa (Donigian et at., 1983a; 1983b; Imhoff et at., 1983) and
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as part of a pesticide exposure assessment in surface waters
(Mulkey and Donigian, 1984). Because of this prior experience
with HSPF, its continued maintenance and sponsorship by the
EPA. Center for Water Quality Modeling (Barnwell, 1984) and
existing model applications in different regions of the U.S.,
this project was specifically designed to take advantage of
the capabilities of HSPF to simulate pesticide fate and
migration in agricultural watersheds.
A key step in the development of STREAM was the definition and
evolution of the concept of a. regonal "representative"
watershed. For the purposes of this study, the definition of
a regional representative watershed can be stated as follows:
A regional representative watershed is a standarized
watershed that demonstrates hydrologic, sediment, and
water quality (primarily pesticide) behavior that is
typical or representative of watersheds throughout the
region, within the order-of-magnitude accuracy
appropriate for a screening-level analysis.
Thus, the representative watershed will not exactly duplicate
the behavior or response of all watersheds in the region, or
any one specific watershed (except by pure chance), but it
will demonstrate behavior that is typical of watersheds in the
region within the latitude provided by the order-of-magnitude
accuracy required.
The concept of regional "representative" watersheds was
developed in this study and used as the basis for the
sensitivity analyses and resulting pesticide frequency
distributions. The primary need was a sound technical basis
for stating that the frequency distributions can be reasonably
applied and used for a broader geographical region than just
the specific HSPF application watershed. In addition, since
many exposure assessments conducted as part of the pesticide
registration process will involve more than one region, some
"normalization" is needed to allow comparisons between and
among the various regions.
Thus, in place of the specific HSPF regional application
watershed, a regional representative watershed was developed
with characteristics applicable to the broader agricultural
region. In effect, we compared differences in characteristics
between the HSPF application watersheds and regional values as
a basis for transforming them into regional "representative"
watersheds. Section 4.3 discusses the assumptions and
adjustments made for the key characteristics of watershed
area, land use/crop distribution, land and soil
characteristics, meteorologic conditions, drainage
'characteristics' and agricultural practices.
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As shown in Figure 2,1, both regional characteristics and the
regional HSPP application provided the inputs for the
development of the characteristics of the regional
representative watershed. In brief, the representative
watershed in each region has the following attributes:
a. an area of 1,000 sq. km (386 sq. mi.).
b. land use/crop distribution typical of agricultural
watersheds in the region, based on the 1978 Census of
Agriculture (see Table 4.3).
c. land and soil characteristics derived from the HSPP
application watershed, unless available information
indicated an appropriate adjustment.
d. meteorologic conditions (primarily precipitation and
potential evapotr'ltnspiration) representative of the
region, developed by adjustments to the data used in
the HSPP applications.
e. drainage and channel characteristics appropriate for
a 1,000 sq. km watershed derived from regional data
and geomorphological relationships.
f. egnventiona1 cropland agricultural practices appro-
priate for the region.
Section 4.3 further elaborates on the concept and
justification for the regional representative watershed, and
describes in detail the transformation of each characteristic
discussed above.
The timing and method of agricultural chemical applications
can have a determining impact on the extent of chemical runoff
and resulting stream concentrations. In fact, for relatively
non-persistent pesticides, the first few runoff-producing
storm events following a field application usually produce the
greatest pesticide runoff and concentrations. In most
agricultural watersheds, many different farmers will be
applying chemicals at different times and at different rates.
Since it would not be feasible to model each farmer's field
individually in a complex multi-land use watershed of 1,000
sq. km, and since a single simultaneous application by all
farmers would be unrealistic (and possibly produce a
worst-case scenario for pesticide runoff from the first storm
event), procedures and assumptions for pesticide application
were developed in order to provide a realistic compromise
between the two extreme approaches described above.
The key assumptions used in this study for specifying
pesticide applications are as follows:
10
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1.
2.
3.
A unit application rate of 1.0 kg/ha to all crops.
A single surface application at or near planting time.
Multiple farmer applications and timing approximated
ky three separate applications of 0.25, 0.50, and
0.25 kg/ha, respectively within a 10-15 day planting
"window".
4.
No applications on
event.
the day of, or day after, a storm
A unit application rate of 1.0 kg/ha was used in all
simulations in order to provide the methodology user the
flexibility of estimating concentrations and loadings for any
application. All concentrations and loadings are linear
functions of the application rate. Thus, for a 5.0 kg/ha
rate, the user simply multiplies the values from the frequency
curves in Appendices A through E by 5,0 to obtain the correct
concentrations and loadings. Section 4.4.2 fully discusses
the pesticide application procedures and assumptions.
As shown in Figure 2.1, following development of the
representative watershed characteristics ^"nd pesticide
application procedures, sensitivity analyses were conducted.
To maintain simplicity in application of STREAM for
screening-level analyses, these sensitivity analyses were
limited to the following key methodology parameters:
Koc - organic carbon partition coefficient
ks - soil/sediment pesticide decay rate
kw - solution pesticide decay rate
These three parameters are used in STREAM to represent,
respectively, the sorption characteristics, the soil and
instream/bed sediment persistence, and the solution
persistence of the pesticide. All HSPF pesticide parameters
were either based on the values of these three key methodology
parameters, were derived from previous studies, or were
amenable to the use of a default value. Section 4.4.1
discusses the selection of these methodology parameters and
the assumptions used in specifying the values of the complete
set of 35 HSPF pesticide-related parameters. However, the
following key assumptions should be noted;
a. Koc was used to specify the partition coefficients for
all layers of the soil profile and the suspended and
bed sediments, based on estimated % organic carbon
values (presented in Section (4.4.1)) and the
following equation;
11
-------
Kd = Koc *OC
H¥ (2.1)
where Kd = Soil-chemical partition coefficient, ml/g
Koc = Organic carbon partition coefficient,
ml/g-organic carbon
OC = percent organic carbon
The specific Kd values resulting from this equation
and the estimated % organic carbon values for each
region are shown in Tables 4.15 through 4.19 in
Section 4.4.1.
b. The soil/sediment decay rate, ks, represents a lumped
first-order decay or attenuation process for all
pesticide loss mechanisms. The value of ks was used
to specify soil decay rates for•all soil layers and
all particle sizes (i.e. sand, silt, clay) for both
the suspended and bed sediments.
c. The solution decay rate, kw, also represents a lumped
first-order decay process for all pesticide loss
mechanisms from the solution phase at a temperature
of 20 deg. C. A- standard temperature adjustment to
this rate is performed based on estimated stream
temperatures in each region. This adjustment allows
for a two-fold change in decay rate for each 10 deg.
change in temperature.
Table 2.1 lists the specific values of the key methodology
parameters used in the sensitivity analyses. The choice of
these values is further elaborated on in Section 4.4.1.
Performance of the sensitivity analyses involved the execution
of 10-year HSPP simulation runs for the 36 combinations of the
key methodology parameters - Koc, ks, kw - shown in Table 2.1,
for each of the five representative watersheds. Since it was
necessary to simulate the results of pesticide applications to
each crop separately, this required 72 pesticide simulations
for each region resulting in a total of 3,600 pesticide
simulation years i.e., 72 simulations x 5 regions x 10 years.
The simulations were performed using a 2-hour time step, to be
consistent with the modeling of the application watersheds,
and produced a daily concentration time series by averaging
the 2-hour values during each day. Pesticide runoff was
calculated as the total daily amount in kg/ha for each day of
the 10-year simulation period. Thus, time series consisting
of about 3,652 daily values were generated for pesticide
runoff and concentrations (i.e., solution and bed) from each
simulation run.
12
-------
TABLE 2.1 VALUES OF KEY METHODOLOGY PARAMETERS FOR
SENSITIVITY ANALYSIS
Koc
(ml/g)
50
500
1500
5000
ks
(per day)
0.1
0.01
0.001
kw
(per day)
1.0
0.5
0.05
In the final step of the methodology development (shown in
Figure 2.1) the time series were analyzed using the DURANL
module of HSPP to define the exceedance frequency, or percent
of time specific°values were exceeded, for durations of 1,2,4,
and 30 days. These durations were chosen to correspond to the
standard 24-hour, 48-hour, 96-hour, and 30-day toxicity tests
normally performed to establish LC50 (i.e., concentration for
50% mortality) and MATC (i.e., maximum allowable toxicant
concentration) values for aquatic organisms. In addition to
frequency-duration statistics on the time series, DURANL also
provides the maximum and mean values.
The pesticide frequency-duration information, along with the
maximum and mean values, was then plotted in a log-log format
to place greater emphasis on the less frequent events and to
accommodate the wide variation (i.e., up to five orders of
magnitude) in pesticide concentrations and loadings.
2.2 STREAM APPLICATION PROCEDURES
Figure 2.2 provides a general overview of the various steps
involved in performing a pesticide exposure assessment with
STREAM. Intially, some event will occur or action will be
taken to indicate a need for an exposure assessment. As noted
in Section 1.1, this could occur when a new pesticide is
submitted for registration, when a new use is proposed for an
existing pesticide, or when a current compound is being
re-evaluated for any number of reasons. Based on the specific
impetus for the exposure assessment, the pesticide(s) of
interest will be identified and the next step in the
assessment will be to determine the relevant use and chemical
characteristics.
13
-------
PESTICIDE EXPOSURE ASSESSMENT REQUIRED
DETERMINE PESTICIDE USE
AND CHEMICAL CHARACTERISTICS
1
SELECT REGION(S) AND CROPCSl!
FIND CORRESPONDING APPENDICES
DETERMINE/ESTIMATE
KEY METHODOLOGY PARAMETERS
1
LOCATE APPROPRIATE FIGURED)
FROM FIGURE MATRIX
ANALYZE
SENSITIVITY
TO KEY
PARAMETERS
i
DETERMINE UNIT PESTICIDE CONCENTRATIONS/
LOADINGS FOR FREQUENCY/DURATION LEVELS NEEDED,
INTERPOLATE AS REQUIRED
i
ANALYZE
SENSITIVITY
TO KEY
PARAMETERS
ADJUST UNIT CONCENTRATIONS/LOADINGS FOR-
• ACTUAL APPLICATION RATE
• JOINT USE ON MULTIPLE CROPS
»% CROPLAND TREATED
1
EVALUATE METHODOLOGY ASSUMPTIONS AND
LIMITATIONS.AND VALIDITY OF RESULTS
COMPARE PREDICTED
CONCENTRATIONS TO
LEVELS OF INTEREST
FOR EXPOSURE/RISK
ASSESSMENT
USE LOADING RATES
AS INPUT TO OTHER
MODELS
OR ANALYSES
Figure 2.2 Overview of pesticide exposure assessment with
STREAM.
14
-------
The usage characteristics such as the crops and regions where
the pesticide is, or is to be, applied will determine whether
or not the STREAM procedures are appropriate. The specific
agricultural regions and crops included in this version of
STREAM are listed below, and the region boundaries are shown
in Figure 1.1:
Crops
Southeast Corn, Soybeans
Mississippi Delta Cotton, Soybeans
Eastern Cornbelt Corn, Soybeans
Western Cornbelt Corn, Soybeans
Central Plains Wheat, Sorghum (Incomplete)
As noted above, the region boundaries are approximate and
represent the generalized area where the STREAM procedures can
be applied for screening-level analyses. Also, the procedures
may_ be applicable to other crops with similar growth patterns,
canopy development, planting and harvesting times, etc., but
the accuracy and reliability of the procedures in such
situations is uncertain.
Additional use characteristics including application rate,
application method, potential use on multiple crops, and % of
cropland to be treated will be needed later in the assessment
to calculate estimated concentrations and loadings, and to
assess the validity of the results. The chemical
characteristics of interest are those related to estimation of
the key methodology parameters - Koc, ks, kw. These are
discussed further in subsequent steps.
Based on the pesticide use characteristics, the agricultural
regions and crops of interest can be determined and the
corresponding appendix or appendices can be located. As noted
in Section 1.3, the appendices A through E include the
pesticide frequency-duration information for the five regions
in the following orders
A. Southeast
B. Mississippi Delta
C. Eastern Cornbelt
D. Western Cornbelt
E. Central Plains (incomplete)
2.2.1 Parameter Estimation
At this stage, the major effort in the exposure assessment
begins - estimation of the key methodology parameters. For
new compounds, data and information submitted by the chemical
15
-------
manufacturer may be the only source of information on which to
base the values of Koc, ks, and kw. Specific laboratory
and/or field tests may be required in order to determine valid
parameter values, and the chemical background and expertise of
the user may be needed to estimate an appropriate value (or
range of values) from the wide range of values often observed
in such tests.
For existing pesticides, the current literature provides a
variety of sources that may be helpful, in addition to data
supplied by the manufacturer. Various parameter estimation
techniques and sources of information are available and will
be briefly mentioned here so that the user can study the
procedures, data, and associated assumptions and limitations
in the original documents. For Koc, values for a number of
pesticides have been tabulated by Rao and Davidson (1980),
Mabey et al. (1982), and Lyman et al. (1982), while Lyman has
also summarized the major regression equations for estimation
of Koc from solubility, the octanol-water partition
coefficient (i.e., Kow) or, the bioconcentration factor (i.e.,
BCP). Table 2.2 from Lyman presents these equations, along
with the number and classes of chemicals used in their
development, and associated correlation coefficients for the
equations. Many of the equations were developed specifically
for pesticides. Users should review the discussion in Chapter
4 of Lyman et al. (1982) to fully comprehend the limitations,
assumptions, and parameter ranges for these equations.
Lacking specific Koc values for the pesticide, .information
required to use the regression "equations in Table 2.2 can be
found in Rao and Davidson (1980), Mabey et al. (19"82), and the
Herbicide Handbook (Weed Science Society of America, 1983).
Also, a very complete data base of Kow values is maintained by
Dr. ' Corlan Hansch at Pomona College, Pomona, California
(714-621-8000 ext. 2225). Koc values should be used directly
whenever available; otherwise estimation of Koc from the
regression equations is appropriate when used with caution.
For ks, the soil decay rate, Nash (1980) and Rao and Davidson
(1980) tabulated rate values (in units of 'per day') for a
wide variety of pesticides, while similar data on half-life
and persistence have been reported by Menzie (1972), Stewart
et al. (1975), Wauchope (1978), and Wauchope and Leonard
(1980). Half-life (i.e., t50) and persistence (i.e., t90) are
generally defined as the time (in days) required for 50% and
90% degradation respectively, for the pesticide. Thus, the
calculation of ks from this type of data is as follows:
(2.2)
16
-------
where ks = soil decay rate, per day
t50 = time required for 50% decay, days
t90 — time required for 90% decay, days
The open literature generally will include a number of field
and/or laboratory studies for specific pesticides; users
should make use of literature searches to help uncover
compound-specific data for ks. However, Dean et al. (1984)
have noted two potential problems in direct use of literature
values. First, these rates usually have been measured under a
wide range of environmental conditions, e.g., soils,soil pH,
soil organic matter, soil moisture, soil temperature, etc.)
which can have dramatic effects on reported values. The user
should check the original references to determine if the
reported conditions are applicable to his or her specified
TABLE 2.2 REGRESSION EQUATIONS FOR THE ESTIMATION OF K
oc
EQ. No.
I
2
3d
*
5
i
7
8
j511 log S * °"'il>
in mala fraction)
*oe * -°-557 lo* s * *-*T7
In molea/L)
"•DC * °'^l> log Kow * '-377
KOC « 0.937 log K - 0.006
K * 1.00 log Kou .0.21
KOC • 0.91 log KQW * 0.02
KQc « 1.029 lag Km - 0.18
oc
K m 0.521 log K B « 0.855
DC
"oc " 0«°°67 "" - '5"5 * 0.237
"
K00 » 0,681 log BCf(f) * 1.963
KO
-------
situation. Secondly, in this methodology, the decay rate is
applied to both dissolved and adsorbed chemical. The user
should be satisfied that this condition was met in the
measurement of the decay rate or find another source of
information about degradation of the compound.
An additional caution for the STREAM user is that the value of
ks is also the decay rate of pesticide adsorbed to suspended
and bed sediments. Little if any aquatic data on pesticide
decay processes differentiate between rates for the solution
and adsorbed phases, and stream bed decay processes have been
identified as a significant research area for exposure
assessment because of the general lack of information and
understanding (EPA., 1982). Because of this lack of
sediment-associated decay rates, the use of soil decay rates
is a reasonable alternative.
For kw, the solution decay.rate, data and information provided
in Mills et al. (1982), Callahan et al. (1979), Mabey et al.
(1982) and Lyman et al. (1982) can help to identify the major
fate processes for the pesticide of interest and the
associated transformation or decay rates. Also, Lyman et al.
(1982) and Mabey et al. (1984) provide methods of estimating
process-specific rate constants based on available data. For
the STfyEAM procedures, kw should be evaluated as the sum of
the individual decay rates (in- units of 'per day1) or the
maximum if one decay mechanism is predominant, since it
represents an aggregate of all loss mechanisms.
2.2.2 Locating Frequency Curves
Once the methodology parameters have been estimated, the user
then locates the proper figure or figures in the appendix for
the selected region for the specific combination of parameter
values. Each appendix includes three tables and 150 figures
which are the pesticide frequency curves. The tables are
matrices of figure numbers developed to assist the user in
locating the needed figure(s) for any combination of parameter
values; one table each is provided for the pesticide solution
concentration curves, pesticide bed concentration curves, and
the pesticide daily loading curves.
Figure 2.3 demonstrates how the figure matrices for the
pesticide solution and bed concentrations curves are used to
determine the needed figure number(s) for parameter
combinations; the figures are located in numerical order
following the tables in each appendix. For example, in Figure
2,3, the table title indicates that the figure matrix is for
pesticide solution concentrations for both corn and soybeans
in the Southeast; a separate table is provided for bed
18
-------
SOLUTION OR
BED IDENTIFIER
FIGURES FOR CORN IN SOUTHEAST
FOR Koc = 1000,-ks= 0.05. kw = 0.3;
INTERPOLATION REQUIRED
TABLE A.I
FIGURE MATRIX FOR PESTICIDE ISQLOTIptf]COHCEHTHATION
CURVES FOR CORK AHD SOYBEANS 1H THE SOUTHEAST
Regionr SOUTHEAST
Crop: CORN
Koc ks
(al/cjra) (per flay)
52 ' 0.1
0.01
0.001
REGION AND
CROP
IDENTIFIERS
f500 0.1
-~^__ 0.01
kw (per day)
1.0
A.I
A. 4
A.7
A. 10
A. 13
0.0(11 A. 16
Il500 0.1
— ~^_ 0.01
A. 19
A. 22
0.5 fl.05
A. 2 A. 3
A. 5 A. 6
A.8 A. 9
^'-"iv",'.'r*j'.v::;;;;'.vA'S":'- -*13st'll"S'5'<""
•'..'^-•':\'-£:.:.'--;'^,'--'-'^':';';.: '•"&'*'%•%'-'''
• •.-/« V*** ! '- -;v-V. - .•*-•;• .'** *•**»*,-•
A. 17 A. l6
5000
0.1
0.01
0.00-1
A.28
A. 31
A.34
A.29
A.32
A.35
A.30
A.33
A. 36'
Region: SOUTHEAST
Crop: SOYBEANS
Koc
50
1500
5000
0.001
0.1
0.01
0.001
0.1
0.01
0.001
A.52
ktf (per day)
(per day) 1.0
0.1
0.01
0.001
_ 0.1
__ 0-01
A. 37
A. 40
A. 43
A. 46
A. 49
0.5
A, 38
A. 41
A. 44
A. 47
•»iS0-:
A.S3
A.71
0.05
A.39
A.42
A.45
A.48
A.SI
A. 54
A.57
A.60
A.63
A. 66
A.69
A.72
FIGURE A.50: SOYBEANS IN
SOUTHEAST, FOR Koc =500,
k8 = 0.01, AND kw=0.5
Figure 2.3 Explanation of figure matrices for locating
pesticide concentration frequency curves.
19
-------
concentrations in a similar format. The top half of the table
is designated as corn in the Southeast, while the bottom half
is for soybeans in the Southeast.
Thus, if the pesticide is applied to soybeans in the Southeast
and the parameter values are estimated as Koc = 500, ks =
0.01, and kw = 0.5, then Figure A.50 in Appendix A is the
needed frequency curve for pesticide solution concentrations,
as demonstrated by the lines and boxes in the bottom half of
Figure 2.3.
For the more difficult, and more likely, situation when the
estimated parameter values are not exactly equal to the values
used in our sensitivity analyses, a number of figures must be
identified so that interpolation can be performed for the
specific parameter set. The top half of Figure 2.3
demonstrates such an example for corn in the Southeast and
Koc = 1000, ks = 0.05, and kw = 0.3. Since none of the
parameters are equal to our sensitivity values, eight separate
figures are needed to perform the interpolation. If kw had
been equal to 0.5, then only four figures (i.e., A.11, A.14,
A.20, and A.23) would have been needed. A recommended
interpolation procedure is discussed in Section 2.2.3 below.
The figure matrices for the pesticide daily loading curves are
considerably less complicated than those for the concentration
curves, since only two parameters - Koc and ks - are involved
and only a daily duration is considered. The kw value has no
impact on pesticide loading to the stream, and durations other
than one day are of no real interest or value for our
purposes. Table A.3 from Appendix A is reproduced below as an
example of the loading figure matrix.
TABLE A.3 FIGURE MATRIX FOR PESTICIDE LOADING
CURVES FOR THE SOUTHEAST
Region: SOUTHEAST
Crop
Corn
Soybeans
0.1
A. 145
A. 148
ks (per day)
.01
A. 146
A. 149
.001
A. 147
A. 150
Only six figures are required since each figure includes four
curves for each of the four Koc values. Thus, for soybeans in
20
-------
the Southeast with ks = 0.01, Figure A.149 is needed. If ks —
0.05, Figures A.148 and A.149 would be needed for
interpolation.
2.2.3 Determine Unit Concentrations and Loads
Since we assumed a 1.0 kg/ha pesticide application in our
methodology, all concentrations and loads estimated from the
frequency curves in the appendices are unit values. Thus,
determining the unit concentrations and loads simply involves
proper interpretation of the frequency curves, and
interpolation or extrapolation as required by the specific
parameter values. Figures 2.4 and 2,5 provide explanations of
the legends, terms, and information included in the pesticide
concentration and loading curves, respectively, using figures
from Appendix A as examples. Along the bottom of the figures,
the figure number (keyed to the figure matrix), region, crop,
and parameter values are indicated. Both the vertical and
horizontal scales are logarithmic. The horizontal scale
ranges from 0.01 to 100. and indicates the '% of time1 that
the concentration (solution or bed) or loading is exceeded.
For the solution and bed concentration figures (Figure 2.4)
the vertical scale is in units of partsper billion (ppb) and
generally covers four to six orders of magnitude, ranging from
0.001 to 1,000. ppb. The pesticide loading curves, (Figure
2.5) have a vertical scale in units of kg/ha generally ranging
from 0.0001 to 1.0 kg/ha.
Four curves are shown within each figure. For the
concentration figures the four curves indicate the frequency
for durations of 1,2,4, and 30 day time periods, while the
curves in the loading figures are for the four different
values of Koc. In order to read a concentration or loading
value from the frequency curves the user must select an
appropriate % of time or probability/risk level for the
horizontal axis. The choice of an appropriate level is a user
or policy decision, and will depend on the type of situation
or exposure level being analyzed. If concentrations are high
enough to indicate a concern for acute toxicity to aquatic
organisms, values of 0.1 to 10.0% of time may be appropriate.
If long or continuous exposure to low concentrations (i.e.,
chronic conditions) is the primary concern, higher values in
the range of 10.0 to 100.% of time may be of interest. Also,
the available toxicity data and the durations of potential
exposure may be used to determine how often toxic conditions
will exist by using the concentration (i.e., vertical) scale
and the duration curves to locate a point on the horizontal
scale. If average long-term exposure is the primary interest,
such as in cancer risk assessments from drinking water
sources, the user simply needs to read the 'Mean Daily1
21
-------
K>
to
SOLUTION OR
BED IDENTIFIER
0.01
100.000
0.10
1.00
MAXIMUM
AND MEAN VALUES
FOR DAILY
DURATION
CURVES ONLY
10.00
0.001
0.01
0.10 LOO 10.00
Percent of Time Concentration Exceeded
100.00
Concentration, ppb
Max Datly - 25.3
Mean Dally - 0. 13
LEGEND FOR
DURATION CURVES
CURVES FOR
EACH DURATION
100.00
Koci
500
Nsi
0.1
Nwt
1.0
FIGURE NUMBER
FROM MATRIX
REGION
CROP
PARAMETER
COMBINATION
Figure 2.4 Explanation of pesticide cumulative frequency concentration curves.
-------
to
UJ
0.01
1.0000J
0.10
100. 00
Max Dally Load
(hg/ha)
Koa 50i 0.055B
Hoc SOOi 0. OG64
Koc ISOOi 0.045?
Kac SQOOi 0.0285
Q.
0. 0001
0.01
LEGEND FOR
Koc CURVES
MAXIMUM DAILY LOADS
FOR EACH Koc VALUE
CURVES FOR
EACH Koc VALUE
0.10 1.00 10.00
Percent of Tima Dally Load Exceeded
100. 00
FIGURE
FIGURE NUMBER
FROM MATRIX
REGION
CROP
SOIL DECAY
RATE
Figure 2.5
Explanation of pesticide cumulative frequency
loading curves.
-------
concentration value identified on the figure. Additional
guidance in the interpretation and use of the frequency
information is provided in Section 2.3.
Since most parameter estimates will not exactly equal the
specific values of Koc, ks, and kw used in developing the
frequency curves, interpolation or extrapolation may often be
required. A number of detailed numerical techniques, such as
the method of Lagrangian polynomials, are available in general
references and texts (see Hornbeck, 1975). However,
considering the screening-level analyses being performed with
STREAM and the accuracy with which the user can read
individual points from the frequency curves, simple linear
and/or graphical interpolation/extrapolation is probably
adequate in most circumstances. The user must decide _if
interpolation/extrapolation is required, based on the range
and variability of unit values from the curves, and what
methods are most appropriate for the specific analyses being
performed.
However, if interpolation/extrapolation is needed, we
recommend that the user observe the following step-wise,
structured approach, because of the number of calculations
that may be required;
1. Identify all frequency curves that are needed to bound
the particular parameter combination; i.e., koc/ks/kw
of interest.
2. Interpolate first for the desired values of kw using
the frequency curves associated with the neighboring
kw values.
3. Using the unit concentrations from step 2, interpolate
next for the desired values of ks; step 2 will have
provided the unit concentrations for the neighboring
ks values.
4. Using the unit concentrations from step 3 for neigh-
boring values of Koc, interpolate for the desired
value of Koc.
This procedure is best shown by example. For the parameter
combination of Koc = 1000, ks = 0.05, and kw = 0.3, step 1 is
completed in the top half of Figure 2.3 where Figures A.11,
A.12, A.14, and A.15 are shown to bound the desired values of
ks and kw, for Koc = 500, and Figures A.20, A.21, A.23, and
A.24 bound the values for Koc = 1500. If we reproduce and
expand these sections of the figure matrix, as shown below,
the step-wise interpolation is demonstrated:
24
-------
Koc
500
1000
1500
0.1
0.05
0.01
0.05
0. 1
0.05
0.01
kw
0.5 0.3
A. 11
A. 14
A. 20
A.23
x7
0.05
-A. 12
-A. 15
-A.21
•A.24
In this example, Step 2 involves reading unit values from
Figures A.11 and A.12 and then interpolating a value, shown as
xl, for kw = 0.3. Similarly, x2 is interpolated from values
obtained from figures A.14 and A.15. The' same procedures are
then used to obtain values of x4 and x5. Then in step 3, - the
value for x3 (which corresponds to Koc =500, ks = 0.05 and kw
= 0.30) is derived from interpolation between xl and x2, and
x6 (for Koc = 1500, ks = 0.05, and kw = 0.3) is derived by
interpolating between x4 and x5. Finally, in step 4, the unit
concentration x7 for our parameter set is calculated by
interpolating between x3 and x6. " -
Extrapolation can be handled in an analogous step-wise manner.
However, the user should review the interpretation guidelines
in Section 2.3 in order to determine the need for, and
uncertainties associated with extrapolation.
For the pesticide loading frequency curves, interpolation and
extrapolation are relatively simple and straight-forward
because only Koc and ks are involved and the four Koc curves
are plotted on the same figure.
2.2.4 Adjustments to Unit Concentrations and Loads
As noted above, the values obtained from the frequency
are unit values based on the following conditions:
curves
a.
b.
unit application rate of 1.0 kg/ha
applications to each crop separately'
25
-------
c. application to 100% of each cropland area (i.e., 100%
treated)
To obtain concentrations and loadings under the user-specified
conditions, adjustments to the unit values may be required.
For pesticide concentration estimates (both solution and bed)
adjustments for all three conditions can be made as follows:
C = Ul * Tl * Al + O2 * T2 '
100. 100.
A2
(2.3)
where C
Ul, U2
Al, A2
Tl, T2
predicted concentration for user
conditions, ppb
unit concentrations from frequency
curves for crops 1 and 2, ppb
application rate for crops 1 and 2,
kg/ha
% of cropland for crops (1 and 2)
receiving application
Equation 2.3 simply shows that the concentrations from each
cropland are linearly related to the application rate and
fraction of cropland treated, and that the total concentration
is the sum of the concentration contributions from each
cropland. These linear relationships have been confirmed in
sensitivity trials with HSPF (Dean et al., 1984). The
examples in Section 3 demonstrate the use of this equation.
For the unit pesticide loading values obtained from the
frequency curves, the only required adjustment is for the
application rate since the values are for a unit area of each
crop type. Thus, for an application rate of 5.0 kg/ha the
user must multiply the values from the frequency curves by 5.0
to obtain the correct loading rate.
2.2.5Evaluate Methodology Results
In the final steps of the STREAM methodology, the user must
make a critical evaluation of the validity of the results with
regard to the methodology assumptions and limitations, prior
to their use in exposure/risk assessments or as input to other
models or analyses. In this evaluation the user should
consider the need to perform sensitivity analyses on the key
methodology parameters, based on the degree of uncertainty and
potential variability of their values, to determine the impact
on the predicted concentrations and loadings. If sensitivity
analyses are indicated, the user will need to reiterate many
of the assessment steps as shown in Figure 2.2. If the
26
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sensitivity analyses indicate a large variation in the
methodology predictions resulting from uncertainty in the
parameter values, the user may need to put more effort (and
resources) into reducing parameter uncertainty. This is
especially true if the variation in results, such as predicted
concentrations, encroaches upon values where cancer risk or
aquatic impact may be significant. However, this decision
should be made in light of the methodology, assumptions,
limitations, and uncertainty discussed in Section 2.4.
2.3 INTERPRETATION AND USE OP RESULTS
The curves presented in this methodology are actually
cumulative frequency distributions although we have called
them frequency distributions for the sake of simplicity and
expediency. Strictly speaking, a frequency distribution
indicates the % of time a given value occurs y whereas a
cumulative frequency distribution indicates the % of time a
given value is exceeded. The latter is derived from the
former as the cumulative sum of the area under the frequency
curve- at any point. For our purposes, frequency and
probability can be used interchangeably i.e., the '% of time1
is also the '% chance1 of a value being exceeded.
The concept of "duration" of an event in conjunction with its
frequency also requires some explanation in terms of its use
in STREAM. All the statistical analyses were performed with
the DURANL module of HSPF on 3652 daily values generated in
the 10-year simulation runs. Thus the daily duration curves
are simply the results of the statistical analysis on the
individual daily values. .For the other durations - 2,4, and
30 day - the analysis results indicate the % of time a value
is exceeded and this occurs during an event with the
corresponding duration. Figure 2.6 schematically shows the
concept of moving a 'window' of any specific duration, tc,
though time series of concentrations as a basis for
determining how often such conditions occur. Appendix F
further discusses and clarifies these concepts of frequency,
cumulative frequency, and duration in analyses of time series
information.
With this brief background, we can provide some insight into
the proper interpretation of the frequency curves. As shown
in Figure 2.4, the concentration .frequency curves intersect
the x-axis generally in the region of 10.0 to 100.%, rise
toward the y-axis on the left but never reach the y-axis.
Also, each individual duration curve usually stops at
different points; in Figure 2.4 the 30-day duration curve ends
at 2% while the daily curve ends at 0.08%. We can calculate
the minimum value of '% of time1 for each duration by dividing
27
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e
o
o
o
Time (t)
Figure 2.6 Time series of toxicant concentrations with moving
average window of duration t .
the duration by the total number of daily values, i.e.,
These minimum values are as follows:
3652.
Pur ation, days
1
2
4
30
Minimum '% of time'
.027
.055
.110
.821
The curves will not extend to the same minimum point because
the duration represents a threshold that must be exceeded in
order to register as an event. Thus, a single 29-day event
over the 10-year period would exist 0.794% of time (i.e.,
29/3652) for the daily duration analysis but would not even
register as an event (i.e., 0%) for the 30-day duration
analysis. However, a single 30-day event would exist 0.821%
of the time for both durations.
In order to have the 30-day duration curve extend to the same
minimum point as the daily curve (i.e., .027%), we would need
to have a time "series of 11111. daily values, i.e., 30/.00027,
or 304 years of simulationl
28
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The frequency curves do not normally reach even the minimum
values noted above due to the computational procedures -in
DURANL. The program scans through the time series and
compares the daily values to pre-specif ied levels to determine
the exceedance percentages. Barring the use of an enormous
number of incremental levels (HSPF allows up to 20 levels),
these procedures (and resulting curves) will generally come
quite close to the minimum but not exactly equal it. Thus, in
Figure 2.4 the daily curve ends at 0.08% whereas the minimum
value is 0.0027%, quite acceptable for our purposes at these
low exceedance percentages.
Related to this is the maximum daily value indicated on the
frequency diagram. Since this value is the maximum 1-day
value in the 10-year time series, it occurs 0.027% of the
time. Thus, the user can locate one additional point for the
daily duration curve to extend it if necessary.
The mean da_i_ly_ value shown on the frequency figures represents
the arithmetic mean of the time series i.e., the sum of all
the daily values divided by 3652.
The user will notice occasionally a straight vertical rise in
a frequency curve? this simply indicates that no additional
events occurred between two pre-specified levels. This occurs
usually at extremely low exceedance percentages.
The 1-day, 2-day, and 4-day durations were selected to
correspond to the standard 24-hour, 48-hour and 96-hour LC50
tests performed to establish the aquatic toxicity of a
compound i.e., the concentration level at which 50% of the
test organisms die when exposed for the selected duration
period. Thus if the user has this type of information for the
pesticide, he can use the concentration value to enter the
frequency diagram and determine the '% of time1 that such
acute toxic conditions will exist.
30-day duration was selected to correspond to the standard
toxicity tests performed to establish the maximum allowable
toxicant concentration (MATC) or the no observable effects
Ijavel (NOEL) for the pesticide. These threshold values"
indicate the concentration level above which chronic toxicity
effects may be important. Thus if the user has this type of
information for the pesticide, he can determine how often
lethal, or potentially lethal, conditions may exist under the
proposed chemical and use conditions.
As noted earlier, frequency diagrams are provided in the
appendices for pesticide solution concentration, pesticide
bed concentration, and pesticide daily loading; the
concentration values are in parts per billion (ppb) and the
loading values are in kilograms per hectare (kg/ha) of
29
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cropland. The concentration values correspond to pesticide
concentrations in the last stream segment of the watershed.
Thus the solution concentrations represent the outflow from
the representative watershed, while the bed concentrations
pertain to the stream bed at the watershed outlet. Also, the
user should note that all bed concentrations are based on an
assumed 5.0 cm bed depth. The user can adjust the bed
concentrations predicted by STREAM if information is available
to indicate that a different bed depth is more appropriate.
This adjustment is simply an inverse linear function of depth:
a 1.0 cm depth would produce concentrations 5 times higher,
and a 10.0 cm depth would produce concentrations 1/2 the value
predicted by STREAM for the 5.0 cm depth. Note that this
adjustment is in addition to adjustments for application rate,
multiple crops, and % of cropland treated.
Although STREAM does not explicitly provide pesticide
concentrations on suspended sediments, the user can estimate
these values by multiplying the estimated solution
concentrations by the weighted Kd values for each region
listed in Table 2.3. These values are derived from the
instream Kd values shown in Tables 4.15 through 4.19 and
weighted by the appropriate sand, silt, and clay fractions for
edge-of-stream sediment loadings shown in Table 4.4. Because
of the relatively stable simulation of bed scour and
deposition processes experienced in our regional simulations,
the size distribution of sediment edge-of-stream loadings
essentially equals the distribution of the sediment yield from
the representative watershedsi The yield is comprised
primarily of silt and clay particles with a very minor
percentage (i.e., less than 5 to 10%) of sand.
TABLE 2.3 WEIGHTED Kd VALUES FOR ESTIMATING SUSPENDED
PESTICIDE CONCENTRATIONS FROM SOLUTION
CONCENTRATIONS
Southeast
Mississippi Delta
Eastern Cornbelt
Western Cornbelt
Central Plains
50
1.0
1.0
1. 2
2.0
Koc
500
9.2
9.6
12.0
20.5
( Incomplete )
1500
27.8
28.9
36.0
61.5
5000
92. 5
96.2
120.0
205.0
30
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For the pesticide daily loading information available from
STREAM there are no accepted standards for comparison
analogous to the LC50, MATC, and NOEL levels for concentration
information. Since the loading values represent total daily
pesticide load from a specific crop they can also be
considered as storm loads because most pesticide runoff during
a storm will likely occur during a one or two-day period, at
most. Consequently, the time when the daily load occurs is
only during or immediately after storm events when pesticide
runoff is occurring. For this reason, the user will note that
the maximum '% of time' for the loading frequency curves is
usually in the range of 10 to 20%.
For a specific pesticide, the loading values can be used to
determine what % of application runs off, to make loading
comparisons between and among regions, and to provide loading
information for other models (e.g., EXAMS (Burns et al.,
1982), TOXIWASP (Ambrose et al., 1983)).
2.4 STREAM ASSUMPTIONS, LIMITATIONS, AND UNCERTAINTY
To fully appreciate and effectively utilize the information
available from STREAM, the user must be aware of the primary
assumptions, associated limitations, and resulting uncertainty
in the methodology.
2.4.1 _ _^j3_ump_t_i_ons and Limitations
In order to represent the complex processes governing the fate
and migration of pesticides in agricultural watersheds and
provide a screening methodology with general applicability, a
wide variety of assumptions are required. For each assumption
there may be an associated limitation related to conditions
not represented by the methodology. For STREAM, the
assumptions are divided into two categories: those
assumptions inherent in HSPF in order to model pesticide fate
and transport, and those assumptions required for development
of a general screening methodology.
The HSPF, or model-related, assumptions are fully documented
in the HSPF User Manual (Johanson et al., 1984) and
Application Guide (Donigian et al., 1984) and cover the entire
range of processes from evapotranspiration and infiltration to
sediment-chemical interactions in the stream. Below are
listed the primary pesticide-related assumptions that STREAM
users should be aware of:
31
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a. linear, reversible equilibrium sorption in the soil
profile.
b. lumped, 1st order pesticide decay in the soil and on
sediments.
c. constant distribution of sorbed pesticide loading on
sand, silt, and clay sediment fractions.
d. no impact of tillage practices on vertical pesticide
distribution in the soil profile.
The first three assumptions are commonly used in pesticide
modeling at the current state-of-the-art, and are entirely
appropriate for screening-level analyses. The alternative to
the third assumption would be to simulate soil erosion by
separate size fractions, but this remains a research topic at
the current time. The last assumption, i.e., no impact of
tillage on the vertical pesticide soil distribution, will tend
to provide higher pesticide runoff loadings, and resulting
concentations, than if the re-distribution of the pesticide
was explicitly considered. Pesticide parameters and
assumptions are further discussed in Section 4.4.
The methodology-related assumptions are further divided into
those required for development of the regional representative
watersheds, and those needed for simulation of pesticide
scenarios and sensitivity analyses. The primary assumptions
used in developing the regional representative watersheds -are
discussed in Section 4.3 and are summarized below:
a. total watershed area of 1000 sq. km.
b. land use/crop distribution based on regional data, em-
phasizing agricultural land (see Table 4.3 for
distributions).
c. meteorologic conditions derived from the HSPF appli-
cation sites and adjusted for regional conditions.
d. land and soil characteristics based primarily on the
HSPF application watersheds and checked for
consistency with available regional information.
e. drainage characteristics derived from general and
regional . information, and compared/adjusted to be
consistent with the HSPF application watershed.
f. conventional agricultural practices appropriate for
each region.
As opposed to the pesticide assumptions inherent in the
algorithms and equations of HSPF, the assumptions listed below
32
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were necessary in order to provide a screening methodology
with a reasonable scope within the resource limitations of the
project:
a. single pesticide application to the land surface
(i.e., top 1.0 cm of soil).
b. application at planting time to approximate pre-
plant, planting, or pre-emergence type applications.
c. pesticide behavior represented by three key para-
meters: Koc, ks, kw.
d. primarily organic, hydrophobic pesticides whose beha-
vior can be represented by lumped decay and linear
sorption as a function of OC%.
e. lumped, 1st order decay of dissolved pesticide in-
stream.
f. uniform value for soil/sediment decay for pesticide in
all soil layers, on suspended sediments, and on bed
sediments.
g. constant bed-chemical exchange rate based on limited
field experience.
The pesticide.parameters and assumptions are further discussed
in Section 4.4. Some assumptions, such as the method and
timing of pesticide applications can be alleviated as
additional resources become available to evaluate the impacts
of alternative procedures. However, expanding the number of
Key parameters could make the procedures too cumbersome (and
the number of frequency curves too voluminous) to be used
effectively. At the other extreme, certain processes such as
the bed-chemical exchange mechanism require more basic and
applied (i.e., field) research to develop better qualitative
understanding of the complex interactions.
In sum, conditions where the STREAM procedures are not
directly applicable due to the assumptions discussed above are
as follows:
a. pesticides that are soil-incorporated.
b. foliar application.
c. multiple applications during the growing season.
d. applications with soil and water conservation prac-
tices and/or best management practices.
33
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e. pesticides that undergo ion-exchange, or decay to
toxic daughter products with different sorption and
decay characteristics.
If users apply STREAM when these conditions exist, they will
need either adjust the results or use them only as general
guidance since the above factors are not explicitly
considered.
2.4.2 One erta inty
A complete treatise on all sources of potential uncertainty in
the STREAM procedures, along with rigorous confidence limits
on the resulting estimates is not possible at this time and at
the current state-of-the art of pesticide modeling in
agricultural watersheds. This section discusses some of the
major sources of uncertainty and provides some justification
for the order—of-magnitude accuracy possible with STREAM.
The uncertainty we are concerned with is the potential
difference in pesticide concentrations and loadings obtained
from STREAM compared to expected values from typical
watersheds in the region under the pesticide application
assumptions used in STREAM and listed above. The primary
areas of uncertainty include the extent to which our
'representative1 watershed is truly typical of the region,
the uncertainty associated with watershed modeling of
hydrology and sediment, and the uncertainty associated with
pesticide modeling.
The first two areas are related and should have an uncertainty
considerably less than the third area (i.e., pesticide
modeling). Based on past (site-specific) experience in
watershed modeling, and a general knowledge of the variability
in watershed response as a function of meteorology, soils,
land use, agricultural practices, etc. We estimate that our
representative watershed would have a maximum uncertainty
factor of less than 2 when compared to a typical watershed in
the region. The model calibration/verification approach used,
in part, to develop regional parameters should have a maximum
uncertainty of 20 to 50%, based on site-specific studies such
as the Iowa Study (Donigian et al., 1983) and the HSPF
application watersheds. This would produce maximum
uncertainties in the range of 2.4 to 3.0 for the first two
areas noted above.
For the pesticide simulation uncertainty, the only studies
available on which to base uncertainty estimates (i.e., where
observed data were compared to model results) are the Four
Mile Creek Study in Iowa (Donigian, et al., 1983), a modeling
34
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study of alachlor residues (Mulkey et al.» 1984) and . earlier
studies of pesticide runoff model development and testing
(Crawford and Donigian, 1973; Donigian and Crawford, 1976,
Donigian et al., 1977), Generally these studies show maximum
uncertainty factors in the range of 2.0 to 4.0 when comparing
observed and simulated concentrations and runoff loads.
Combining this range of uncertainty with the factors noted
above produces a range of 4.8 to 12.0 IF all of the
uncertainty produces differences in the same direction. This
brief analysis, based primarily on judgement and past
experience, indicates that order-of-roagnitude accuracy is a
reasonable expectation from the STREAM procedures, and that a
factor of 5 accuracy or less can occur in many situations.
Section 3.3 discusses an example Of where the STREAM
predictions are compared to a site-specific HSPF application
with only a 50% over-prediction by STREAM.
Two key areas where additional certainty exists are sediment
transport and bed-chemical exchange, which have a direct
impact on the accuracy of the estimated pesticide bed
concentrations. Continuous simulation of stream bed processes
including scour, deposition, and chemical exchange with the
overlying water column is an extremely difficult environmental
problem where more data, research, and model testing is
needed. As is discussed in Section 4.3, chemical exchange
rates for both suspended and bed sediments were derived from
limited field experience in Iowa. The primary impact of this
is that the bed_ chemica1 cone entrations predicted by STREAM,
which are based on an assumed 5.0 cm bed depth (see Section
2.3), are expected to have greater uncertainty than the runoff
and solution concentration estimates. The bed concentrations
should be used cautiously considering potential errors of one
to two orders-of-magnitude.
35
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SECTION 3
EXAMPLE APPLICATIONS
This section provides three example applications of STREAM to
demonstrate the use and interpretation of the figure matrices
and frequency diagrams in the appendices in estimating
pesticide concentrations and runoff loadings. The first two
examples demonstrate how information is extracted from the
appendices, with and without the need for interpolation, while
the third example demonstrates and discusses differences that
may result between concentrations predicted by STREAM and
those resulting from a site-specific HSPF application.
3.1 EXAMPLE NO. Is NO INTERPOLATION REQUIRED
PROBLEM STATEMENT: Compound X has been submitted for
registration for use on corn and soybeans in the Southeast,
Eastern Cornbelt, and Western Cornbelt. The proposed label
application rates are 2.5 kg/ha on corn and 3.0kg/ha on
soybeans. Determine instream solution concentrations for the
mean daily value, and daily concentrations exceeded 1% and 10%
of the time, for 25%, 50% and 100% treatment levels. From
information supplied by the registrant the key methodology
parameters for compound X are as follows:
Koc = 500 ml/gm
ks — 0.01 per day
kw — 0.5 per day
STREAM APPLICATION: Since Compound X is to be applied in the
Southeast, Eastern Cornbelt and Western Cornbelt, Tables A.I,
C.I, and D.I are the appropriate figure matrices to use in
locating the proper frequency diagrams. Based on the Koc, ks,
and kw values noted above, the unit solution concentration
values can be determined directly from the following figures,
without interpolation:
Southeast Eastern Cornbelt Western Cornbelt
Corn A.14 C.14 D.14
Soybeans A.50 C.50 D.50
36
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The following unit concentrations (i.e., 1.0 kg/ha application
and 100% treatment) are read directly from these figures.
Unit Solution Concentrations (ppb)
Mean
Max.
Exceedance
1% 10%
SOUTHEAST:
Corn 1.12
Soybeans 2.02
EASTERN CORNBELT
Corn
Soybeans
4.31
5.98
94.9
461.0
122.0
237.0
WESTERN CORNBELT:
Corn
Soybeans
0.96
0.98
78.5
82.5
10.0 2.0 (From Figure A.14)
22.0 3.0 (From Figure A.50)
45.0 12.0 (From Figure C.14)
70.0 15.0 (From Figure C.50)
20.0 1.1 (From Figure D.14)
20.0 1.1 (From Figure D.50)
To obtain the predicted concentrations for the appropriate
application rates and treatment levels, we use Equation 2.3
which simply multiplies the unit values for each crop by the
corresponding application rate and fraction of area treated.
Thus, the mean concentrations in the Southeast are 8.86 ppb,
4.43 ppb, and 2.22 ppb respectively for 100%, 50%, and 25%
treatment. The resulting predicted solution concentrations
for each regions are as follows:
PREDICTED SOLUTION CONCENTRATIONS (ppb)
Mean
Max.
Exceedance
1% 10%
SOUTHEAST:
100% treatment 8.86
50% treatment 4.43
25% treatment 2.22
1620.
810.
405.
91.0
45.5
22.8
14.0
7.0
3. 5
EASTERN CORNBELT:
100% treatment 28.7
50% treatment 14.4
25% treatment 7.2
1016.
508.
254.
322.
161.
81.
75.0
37.5
18.8
37
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WESTERN CORNBELT:
100% treatment 5.34
50% treatment 2.67
25% treatment 1.34
444.
222.
111.
110.0
55.0
27. 5
3.96
1.98
0.99
Note that these calculations assume that the maximum, 1%
exceedance, and 10% exceedance concentrations for each crop
are coincident i.e., they occur at the same time. This
produces higher values and greater uncertainty in the
estimates, especially for the less frequent events such as the
maximum and 1% exceedance values.
3.2 EXAMPLE NO. 2: INTERPOLATION REQUIRED FOR ALL PARAMETERS
PROBLEM
STATEMENT:
Compound Y has been submitted for
registration for use on cotton in the Mississippi Delta with a
proposed label application rate of 2.5 Kg/ha. Determine the
mean daily instream solution concentrations expected from this
application, and the % of time a MATC value of 0.25 ppb will
be exceeded, under 100% treatment levels. The key methodology
parameters are as follows:
Koc = 1000 ml/gm
ks = 0.05 per day
kw = 0.10 per day
STREAM APPLICATION;
Since none of the parameter values for compound Y equal the
levels included in STREAM, interpolation will be required for
all parameter values. Following the step-wise interpolation
procedures discussed in Section 2.2.3, the required frequency
diagrams needed for cotton in the Mississippi Delta are
determined from Table B.I in Appendix B. Simple linear
interpolation will be used to determine the unit
concentrations corresponding to values XI through X7 from
neighboring frequency diagrams as shown below:
Koc
500
1000
1500
ks
0.1
0.05
0.01
0.05
0.1
0.05
0.01
0. 5
B.ll
B. 14
B.20
B. 23
kw
0. 10
XI
X_3
X2
X7
X4
X6
X5
0.05
B.12
B. 15
B.21
B.24
38
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Thus, the value of XI is determined by interpolation between
the mean values of 0.23 ppb and 0.35 ppb from Figures B.ll and
B.12, respectively, as follows:
XI = 0.23 (-5-.10) (.35-.23|.
(.5-.05)
XI = 0.23 + 0.11 = 0.34ppb
Similarly, X2 is calculated as 1. 60ppb, determined from
interpolation between mean values read from Figures B.14 and
B.15. Then, X3 is calculated as follows by interpolation
between ks values of 0.1 and 0.01:
X3 - 0.34 + (-1--05) (1.60-.34)
.1-.01)
X3 = 0.34 + 0.70 = 1.04 ppb
The same procedures are followed to evaluate X4, X5, and X6,
producing values of 0.14, 0.88, and 0.55 ppb, respectively.
In the final step of the interpolation, the values of X3 and
X6 (i.e., 1.04 ppb and 0.55 ppb) are used to interpolate a
value for X7 between Koc values of 500 and 1500, as follows:
X7 = 1.04 + (50°-1000) (-55-1.04J
[500-1500)
X7 = 1.04 - 0.24 = 0.80 ppb
Thus, for a unit solution concentration of 0.80 ppb, the
expected mean solution concentration for Compound Y resulting
from application to cotton at 2.5 Kg/ha and 100% treatment in
the Mississippi Delta is 2.0 ppb.
In order to determine the % of time a specific concentration
is exceeded, such as the MATC value, the concentration must be
converted to a unit concentration value (i.e., concentration
resulting from a 1.0 Kg/ha application) and the frequency
curves are used to determine % exceedance for the unit
concentration. Thus, for a MATC value of 0.25 ppb for
Compound Y, the unit concentration is 0.10 ppb (i.e.,
0.25/2.5). With this unit concentration the interpolation
procedure described above is performed again, interpolating %
exceedance values instead of concentrations. For a MATC value
for Compound Y, the relevant intermediate values are
determined from the 30-day duration curves as follows:
39
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XI = 10.8%
X2 = 78 %
X3 = 48.
X4 = 9
X5 = 67
.5%)
%)
X6 = 41.4%
X7 = 44.7%
Thus, a MATC value of 0.25 ppb will be exceeded approximately
45% of the time if Compound Y is applied to 100% of cotton
cropland in the Mississippi Delta region at a label rate of
2.5 Kg/ha.
3.3 EXAMPLE NO. 3: COMPARISON OF STREAM PREDICTIONS TO HSPF
MODELING OP ALACHLOR IN THE IOWA RIVER
concentrations
to corn and
compare with
and Donigian,
site-specific
PROBLEM STATEMENT: Mulkey and Donigian (1984) report the
results of using HSPF to predict alachlor solution
in the Iowa River resulting from applications
soybeans. How would the STREAM predictions
the alachlor concentrations reported by Mulkey
and what assumptions or differences in the
approach, as compared to the STREAM assumptions,
would lead to the different predictions? Application rates of
2.58 Kg/ha and 3.58 Kg/ha were used by Mulkey and Donigian
(1984) for corn and soybeans, respectively, and produced a
10-year mean alachlor solution concentration of 5.83 ppb and a
maximan daily concentration of 722. ppb at Marengo, Iowa,
assuming 100% treatment of all corn and soybean cropland.
STREAM APPLICATION; To apply STREAM in this example, values
of Koc, ks, and kw are required, in addition to the
application rate and % treatment noted above. Mulkey and
Donigian (1984) report that a variety of decay rates were
used, as follows:
a. The solution decay rate was 0.004 per day
b. The suspended and bed sediment decay rate was 0.045
per day
c. For the soil profile, the surface zone rate was 0.12
per day and changed to 0.06 per day 10 days after
application; the upper zone rate was 0.045 per day;
and the lower and ground-water zone rates were 0.04
per day.
40
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Partition coefficients for alachlor were based on a Koc of 316
ml/gm for the stream processes (L. Mulkey, personal
communication), and the soil values were derived from field
studies of alachlor in Iowa (Johnson and Baker, 1982). Thus,
based on this information, the key STREAM methodology
parameters can be estimated as follows:
Koc = 316
ks = 0.05
kw = 0.004
The primary uncertainty in these parameters is the value of ks
since different values were used in each soil layer, and the
surface layer values were changed 10 days after application.
The value of 0.05 was selected as a conservative compromise;
it is lower than the surface soil values and slightly higher
then the value of 0.045 per day used for the upper zone,
suspended sediment, and bed sediment.
With the above values, the STREAM procedures can be applied as
described in Examples No. 1, and No. 2. Since the value of kw
is 0.004, corresponding to a half-life of 173 days, the lowest
kw value in STREAM (i.e., 0.05) can be used because the normal
flow times in the channel range from a few days to at most one
to two weeks. Thus, an order of magnitude difference in kw
(i.e., 0.004 to 0.05) will have a minor compact on the results
(Mulkey and Donigian, 1984).
With a parameter combination of 316/.05/.05, Figures D.3, D.6,
D.12, 'and D.15 are used to interpolate unit concentrations for
corn, and Figures D.39, D.42, D.48, and D.51 are used for
soybeans. The resulting means and maximum unit concentrations
and STREAM predictions based on the above application rates
and 100% treatment are as follows:
Unit STREAM Alachlor
Concentration (ppb) Concentrations (ppb)
Mean Max Mean Max
Corn 1.45 169 3774 436
Soybeans 1.48 151 5.30 541
Combined STREAM Prediction 9.04 977
Mulkey and Donigian (1984) results 5.83 722
Thus the STREAM procedures over-predict the alachlor
concentration determined from this site-specific HSPF
application by 55% for mean daily concentrations and 35% for
the maximum daily concentration. These differences are in the
proper direction (i.e., over-prediction) and are well within
the order-of-magnitude accuracy needed for a screening-level
analysis.
41
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The major causes for the differences in the two predictions
are directly related to the pesticide parameter and the
representative watershed assumptions. The impacts of the
pesticide parameters would likely be as follows, in decreasing
order of significances
1. The ks value of 0.05 was closer to the upper zone and
stream sediment decay rates than the surface zones
rates, and much of the alachlor decay may occur in
the surface zone soon after application. Increasing
the decay rate would have decreased the STREAM
prediction to be closer to the site-specific
predictions.
2. The Kd values of 4.0 used in the Iowa Study for the
surface and upper soil zones were lower than the
value of 6.2 which results from a Koc of 316 and 2%
OC, ' and used in STREAM. The pesticide loading
frequency diagrams in Appendix D show that the daily
load generally tends to decrease as Koc (and thus Kd)
- increases for events occurring more than 1 to 2% of
the time? however, for less frequent events this
trend does not always hold. In any case, Kd values
of 4 and 6.2 are close enough so that the impact on
pesticide runoff loads would not be significant.
3. A kw value of 0.004 instead of 0.05 would have in-
creased the STREAM predictions slightly in the range
of 5% or less for this specific parameter
combination.
Similarly, the key representative watershed assumptions and
their impacts would likely be as follows:
1. Meteorologic conditions, primarily precipitation were
different between the representative watershed and
the Iowa Basin. Three separate rain gages were used
in the Alachlor study with rainfall adjustments
ranging from +5% to -3%, to better represent the
spacial variation in rainfall in the basin. As shown
in Table 4.8, the Western Cornbelt representative
watershed used one rain gage increased by 15% to
better represent the regional rainfall patterns.
Thus, the greater rainfall produced greater runoff
and associated pesticide runoff and instream
concentrations compared to the Iowa River.
2. As shown in Table 4.3, the representative watershed
for the Western Cornbelt was comprised of 75%
cropland, whereas the Iowa River Basin included only
66% cropland. Thus, if all other conditions and
42
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parameter values were identical, the representative
watershed would experience concentrations about 10%
higher than the Iowa River due to the greater
cropland area contributing alachlor to the stream.
3. Differences in watershed area, drainage patterns, and
channel characteristics between the representative
watershed and the Iowa River Basin would likely
produce some differences in individual daily
concentration, but the differences in predicted mean
concentrations would be small (see Section 4.3).
In summary, the primary causes for the differences in the
STREAM predictions and the Iowa study results are the choice
of the ks value and the representative watershed meteorologic
conditions. Both of these differences lead to higher
concentration predictions by STREAM than from the
site-specific HSPF application, indicating the conservative
tendancy of the procedures which are appropriate for
screening-level analyses.
43
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SECTION 4
METHODOLOGY DEVELOPMENT
Development of the STREAM methodology for estimating instream
pesticide concentrations and runoff loadings from agricultural
watersheds involved the following steps:
a. Definition/selection of agricultural regions and model
application watersheds
b. HSPF application to regional watersheds
c. Development of regional "representative" watersheds
d. Selection of key methodology parameters for sensi-
tivity analyses
e. Development of pesticide frequency-duration informa-
tion
Section 2.1 provided an overview of the methodology
development shown sehemcatically in Figure 2.1. Although the
steps are listed separately, they are interrelated. Final
selection of agricultural regions depended upon the existance
of a regional watershed with an adequate database for a
reasonable HSPF application. The HSPF application was guided
by the mix of important crops in each region and the defined
land use distribution for each "representative" watershed.
The sensitivity analyses and production of frequency-duration
information used the meteorologic database developed for the
HSPF application and subsequently modified to be more
generally representative of conditions in the entire
agricultural region. Development of "representative"
watershed characteristics for each region relied heavily on
the HSPF application watersheds and their calibrated parameter
values. This section discusses each of these steps to provide
the user with the necessary background to use- the STREAM
procedures with a complete understanding of the required
assumptions and associated limitations.
44
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4.1 DEFINITION AND SELECTION OF AGRICULTURAL REGIONS
The specitic agricultural regions chosen for analysis in this
study, and their approximate boundaries (Figure 4.1), were
selected according to three major considerations: project
resource limitations, existence of potential HSPF application
sites, and regional characteristics. The fcirst two considera-
tions were primarily constraints on both the number and spacial
extent or coverage of the selected regions. It was estimated
initially that available project resources would be adequate
for about five HSPF hydrology and sediment applications in addi-
tion to development of the overall methodology. A survey of
agricultural watersheds with sufficient meteorologic, hydro-
logic, and sediment data to support an HSPF application was
then conducted to enumerate potential sites. In conjunction
with selected regional characteristics (discussed below), the
five HSPF application watersheds listed in Table 4.1 and whose
locations are shown in Figure 4.1 were chosen to represent
their respective regions. In effect, watersheds with the best
available data were chosen and then regional information was
analyzed to determine the extent to which the individual water-
shed was representative of a larger region.
Regional meteorologic, soils, and cropping characteristics were
used to define approximate regional boundaries by overlaying
national maps of each critical characteristic. For meteorologic
conditions, a national isohyetal map (Figure 4.2) tor precipita-
tion and a national map of isopleths tor potential evapotrans-
piration were used; greater emphasis was placed on precipitation
patterns because of its greater spacial variability and its
primary role in runoff generation. B'or soils conditions, the
boundaries of the Land Resource Regions (US EPA, 1975) and a
generalized mapping of hydrologic soil groups (Figure 4.3) pro-
vided an overview of regional topographic ana soils variability.
The intensity and variation in cropping patterns tor the major
crops of corn, soybeans, wheat, cotton, and sorghum was based on
the 1978 Census of Agriculture (USDC, 1982); Figures 4.4 and 4.5
show the variation of these crops across the U.S. Superimposing
these pieces of inforraationa allowed us to identify regions with
intensive agriculture and relatively uniform meteorologic, soils
and topographic conditions. The resulting regional boundaries,
when considered on a state-wide basis, are generally consistent
with regional definitions used by Unger (1979) in analyzing en-
vironmental implications of agricultural trends, by Christensen
and Magleby (1983) in regard to conservation tillage use, and
by the USDA Crop Enterprise Budgets (USDA, 1981). Table 4.2
summarizes key characteristics of the defined agricultural re-
g ions.
45
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Figure 4.1 Locations of agricultural regions and HSPF applica-
tion watersheds.
TABLE 4.1 SELECTED CHARACTERISTICS OF HSPF APPLICATION WATERSHEDS
Watershed
Little River,
Georgia
Upper Yazoo River,
Mississippi
Honey Creek, Ohio
Iowa River, Iowa
Turkey Creek,
Nebraska
Agricultural
Region
Southeast
Mississippi
Delta
Eastern
Cornbelt
Western
Cornbelt
Central
Plains
Precipitation
era (in.)
127 (50)
132 (52)
89 (35!
81 (32)
63 {25!
Potential
ET
cm (in,!
114 (45)
109 (43)
81 (32!
89 (35)
117 (46)
Predominant Area
Soils Sq. Km (stj. mi.)
Loamy
Silty
Silty
Silty
loams
Silty
loams
sands 334
clays 5477
loams 394
clay 7236
clay 1191
(129)
(2115)
(152)
(2794J
(460)
Drainage
Basin
Eastern Gulf/
South Atlantic
Lower Mississippi
Eastern Great
Lakes/Ohio River
Upper Mississippi
Upper Missouri
46
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10
60
(1" = 2.54 cm)
Figure 4.2 Average annual distribution of precipitation in inches
(Geraghty, et al., 1973).
-------
CO
Figure 4.3 Generalized hydrologic soil groups for the United States
(Battelle, 1982).
-------
Corn
1 dot - 10,000 acres
Soybeans
1 dot - 10,000 acres
Figure 4.4 Corn and soybean acerage in the United States,
1978 (USDC, 1982).
49
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Wheat
1 dot - 10,000 acres
Cotton
1 dot - 5,000 acres
Sorghum
1 dot - 5,000 acres
Figure 4.5 Wheat, cotton, and sorghum acerage in the
United States, 1978 (USDC, 1982).
50
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TABLE 4.2 KEY CHARACTERISTICS OF THE DEFINED AGRICULTURAL
REGIONS
Region
Southeast
Mississippi
Delta
Eastern
Cornbelt
Western
Cornbelt
Central
Plains
Precipitation
cm
(inches)
112-132
(44-52)
132-163
(52-64)
91-102
(36-40)
71-91
(28-36)
41-81
(16-32)
Potential
Evapotranspiration
cm
(inches)
140-152
(55-60)
127-165
(50-65)
102-114
(40-45)
102-165
(40-65) _.
152-254
(60-100)
Predominent
Soil Type
Sandy loam
Loamy sand
Silt clay
Silt loam
Silty clay
loam
Silt loam
Silt loam
Hydrologic
Soil Groups
C ,
C-D
B-C
B-C
A-D
Primary
Crops
Corn,
Soybeans
Cotton,
Soybeans
Corn ,
Soybeans
Corn ,
Soybeans
Wheat,
Sorghum
These regions were then compared to the locations of the HSPF
application watersheds and the region boundaries were
subsequently constricted in order not to imply that the
selected watershed was able to represent a region larger than
could be reasonably expected. Thus the regional meteorologic,
soils, and topographic characteristics were considered
constraints on the extent of area whose hydrologic response
could be reasonably represented by a single watershed. Since
the STREAM procedures provide screening-level analyses, with
an associated order-of-magnitude accuracy in the pesticide
concentration and loading estimates, considerable latitude was
possible in defining the region boundaries. Although the
boundaries are clearly marked on Figure 4.1, they are
approximate boundaries and, by no means, definitive. They
represent general regions within which the procedures
described herein can be used to estimate instream pesticide
concentrations and runoff loadings for screening-level
analyses.
4.2 HSPF APPLICATION TO REGIONAL WATERSHEDS
Prior to developing the "representative" watershed and
generating pesticide frequency distributions, HSPF was applied
to the selected application watersheds within each
agricultural region. These applications involved simulation
of hydrology, sediment erosion, stream hydraulics, and
instream sediment transport.
51
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Within the framework of this study, the objectives of these
HSPF applications were as follows:
a. demonstrate and confirm the ability of HSPF to model
the hydrologic, hydraulic, sediment erosion, and
sediment transport behavior of agricultural
watersheds characteristic of each region;
b. estimate selected model parameters, which are usually
evaluated through calibration, as a basis for
determining representative parameter values for the
region.
Generally accepted "split-sample" model calibration and
verification procedures were employed; half of the available
data (i.e.,streamflow and sediment concentrations) were used
in a model calibration exercise followed by a verification
procedure with the remaining data. All model application
procedures conformed to the guidelines and recommendations
published in the HSPF Application Guide (Donigian et al.,
1984).
Pesticide simulation was not performed as part of these
applications due to the lack of observed pesticide data at
most sites for comparison with model results, and lack of
adequate project resources; however, previous studies with
HSPF (Donigian et al., 1983; Mulkey and Donigian, 1984) and
with predecessor models (Donigian et- al., 1977) have
sufficiently confirmed the pesticide simulation capabilities
of HSPF for the purposes of this project.
Table 4.1 summarizes selected characteristics of the HSPF
application watersheds to demonstrate the range of watershed
size, meteorologic conditions, and soils characteristics
represented by these model applications. For each watershed
listed in Table 4.1, Appendices G through K provide separate
reports describing the data available for simulation, the
segmentation plan for dividing each watershed into land and
channel segments, and the results of the calibration and
verification efforts.
Although each regional HSPF application was considered quite
acceptable for the above-stated objectives of this study, the
degree of agreement between simulated and observed values was
variable. Runoff and streamflow simulation was consistently
better than sediment simulation, and, with one exception,
demonstrated good to very good agreement with observed
streamflow data; a variety of statistical tests were used to
quantify the comparisons. Also, hydrologic simulation of the
southern watersheds (i.e., Little River and Yazoo River) was
generally more accurate than in the northern watersheds due to
the absence of the complicating effects of snow accumulation
52
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and melt. However, in all watersheds, thunderstorms and their
associated highly variable and erratic rainfall patterns
presented significant problems for selected individual storm
events. This is a common and well-documented problem in
hydrologic modeling.
Sediment simulation suffered from the lack of adequate
observed data such, as continuous (i.e., daily) instream
concentrations, particle-size composition of suspended and bed
sediments, stability of the stream bed, etc. With a few
exceptions, sediment calibration relied upon a limited number
of grab samples of sediment concentrations, primarily for
non-storm periods, supplemented by generalized gross erosion
and sediment delivery estimates and qualitative observations
of bed composition and stability. Consequently, these data
limitations precluded a rigorous sediment calibration/
verification exercise at most application sites. Within the
limits of the observed data and available information, the
sediment simulations did provide a reasonable representation
of sediment behavior for agricultural watersheds.
This section has briefly discussed the HSPF applications to
the regional watersheds to provide the user with a general
appreciation of the basis for the development of the
methodology. We recommend that interested users review the
individual watershed reports in Appendices G through K to
obtain a more indepth understanding of the problems, accuracy,
and limitations of modeling agricultural watersheds with HSPF
as used in this study.
4.2.1 Regional Watershed Descriptions
Each of the regional HSPF application watersheds are briefly
described below to provide the user with a general overview of
regional differences in meteorology, soils, topographic, and
land use conditions. Detailed descriptions are included with
the individual watershed reports in the Appendices.
4.2.1.1 Little River Watershed—
The Little River Watershed is located in Tift, Turner, and
Worth counties in south central Georgia (Figure 4.6). The
Little River flows south to the Withlacoochee River, then to
the Suwannee River which empties into the Gulf of Mexico west
of Gainesville, Florida. The watershed used in this study has
a drainage area of 334.3 sq. km (129.1 sq. mi.).
The climate of the Little River Watershed is characterized by
long, hot, humid summers and short, mild winters. Mean annual
53
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precipitation for the basin varies from approximately 112-122
cm (44—48 in.). The wettest months are March, June, July, and
August; the driest months are October and November. Localized
thunderstorm activity is common in the region.
The soils in the Little River Basin are predominantly sandy
and can be divided into two basic groups in terms of their
hydrologic properties. The upland areas are covered with
well—drained loamy sands; the lowland areas and drainage ways
are very swampy and are covered with poorly drained loamy
sands which contain larger accumulations of organic matter
than the upland soils (Jensen et al., 1959; Batten,1978;
Calhoun, 1981).
1 0 1 2 3 4 6
inn
MILES
101 2 S 4 E 6788
Figure 4.6 Little River research watershed, Georgia
54
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The Little River Basin is located in one of the important
agricultural regions of the country. Approximately 36% of the
study watershed is in crops, 18% in pasture, 40% in forest,
and the remaining 6% in wetlands, lakes, roads, and
residential and commercial areas (Asmussen, 1982b).
The major agricultural crops grown in the basin are corn,
soybeans, and peanuts, with smaller acreages in tobacco,
cotton, and various vegetables. The various crops are
uniformly distributed throughout the watershed with an average
field size of 16 ha (40 ac.) (Slack and Welch, 1980).
Croplands are typically located on the well drained upland
areas of the basin.
Normal planting and pesticide application times for corn and
soybeans in the Little River Watershed are early to mid-March.
As an integral part of the drainage system, wetlands have a
large attenuating effect on runoff and act as settling basins
for suspended materials. There are over 200 small farm ponds
0.1-1.2 ha (1/4-3 ac.) located throughout the watershed, some
of which supply water to small irrigation systems for tobacco.
These ponds have a negligible attenuating effect on runoff
because the hydrologic response of the basin is very sluggish
due to the large swampy areas (Asmussen, 1982b). However,
these ponds will act as settling basins for eroded sediment
from nearby fields.
4.2.1.2 Yazoo River Watershed—
A small portion of the 34,387 sq. km (13,277 sq. mi.) Yazoo
River Basin (Figure 4.7) was chosen as the study area for this
modeling effort. The Yazoo Basin study area comprises 5477
sq. km (2115 sq. mi.) and a major river channel 142 km (88.4
mi.) long. The river channel is known as the Coldwater and
the Tallahatchie River as it flows through the, study area,
where it accepts water from the land immediately surrounding
the channel, as well as from a series of reservoirs located on
the eastern border of the study area. These large reservoirs
contain water draining from the rolling hills located within
the Yazoo River Basin to the east.
The climate of the Yazoo River Basin is humid and
sub-tropical. Summers are hot and sultry, winters are wet and
moderate. Although rainfall is well distributed throughout
the year, pronounced local variations may occur due to summer
thunderstorm activity. The average annual rainfall for the
entire study area is close to 132 cm (52 in.). The greatest
amount of rainfall occurs between December and April. The
driest period of the year is September through October. The
55
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most intense rainfall in terras of inches per hour occurs
during local summer thunderstorm activity and can result in
severe flooding (USDA, 1975).
i V1CKSBURQ
Figure 4.7 Yazoo Basin and study area location map.
56
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The Yazoo River Basin is located in one of the most
intensively farmed areas of the United States. Approximately
44% of the study area is planted with crops, 18% is pasture,
and 38% forested land. A very minor element is covered by
urban land, wetlands, lakes, and roads.
4.2.1.3 Honey Creek—
The Honey Creek Basin (Figure 4.8) lies in the north-central
section of Ohio. The study basin covers a drainage area of
392.1 sq. km (151.4 sq. mi.). It lies in the Till Plain area
of the central lowlands physiographic region, which includes
most of the glaciated part of Ohio. Relief in the watershed
is mainly nearly level to undulating. The headwaters
originate in a large swampy area and flow along the eastern
and northern basin boundary.
The Honey Creek Basin experiences cold winters and
uncomfortably warm summers. Average monthly temperatures
range from 6 deg. C in January to 30 deg. C in July. The
average frost-free season is 160 days. Average annual
precipitation is approximately 91 cm (36 in.). The wettest
months are May and June, the driest are November and December.
The soils within the Honey Creek Watershed are relatively
homogeneous across the basin. Typically, they consist of
poorly drained silt loams on slopes of 0 to 2%. Movement of
ground water north towards Lake Erie is an important factor in
controlling the high water conditions in most of the Honey
Creek Watershed.- The flat high water table soils are very
productive when drained.
The two major crops grown are soybeans and corn. Their
combined acreage covers approximately 60% of the watershed.
Seedbed preparation and planting usually occur in April and
early May, with harvesting in October and November.
4.2.1.4 Iowa River Watershed—
The Iowa River Basin is located in central Iowa with its
headwaters originating in Hancock County, of Northern Iowa
(Figure 4.9). The river flows in a southeasterly direction
to its confluence with the Mississippi River on the southeast
border of the state. This study covers a drainage area of
7236 sq. km (2794 sq. mi.). The study basin is wholly
contained in the state of Iowa, and 14 counties contribute to
its drainage area. South of Marengo, the river drains into
Coralville Reservoir, which is' a major recreational area for
central Iowa, and then flows past Iowa City, for which it
serves as a water supply source.
57
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LAKE ERIE
HONEY CREEK
BASIN
HURON CO.
" I
i.
•MM
HAROtH CO,
CL/
1
SCALE
0 10
O 10
— S£
,*° MILES
SANDUSKY RIVER BASIN
LOCATION MAP
Figure 4.8 Location of Honey Creek Basin
58
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The growing season for warm weather crops extends from mid-May
to early October. The dormant season, averaging 19 weeks,
extends from mid-November to late March. The crop growing
season is limited by both spring and fall freezes in Iowa.
Farmers in the southern portion of the Iowa River Basin
typically plant and apply herbicides to corn cropland in early
to mid-May and soybean cropland in late May to early June.
This timetable generally precedes by up to two weeks these
operations in the northern area of the watershed.
Mean annual precipitation for the basin varies from 77 cm (30
in.) in the north to 84 cm (33 in.) in the southeast.
Heaviest rainfalls occur in May and June, and diminish during
July as the storms track across Canada. A secondary, but
lesser, rainfall maximum is associated with the southward
COBALVILtE
RESERVOIR'
Figure 4.9 Location of the Iowa River Basin,
59
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movement of the prevailing storm track across Iowa in August
or September.
The soil types of the Iowa River Basin may be generally
grouped according to parent material into glacial drift soils
and loess soils. Natural fertility is good, and the mineral
and organic matter content is high. For the Iowa River Basin,
between 65 and 85% of each county which contributes land to
the basin is cropland, with the majority of the cropland being
either corn or soybeans. Of all other land uses, only
grassland comprises more than 10% of the area's total usage.
4.2.1.5 Turkey Creek—
The Turkey Creek Watershed (Figure 4.10) lies in the southeast
section of the state of Nebraska and covers an area of 1191
sq. km (460 sq. mi.). The main channel of the creek stretches
133.2 km (82.8 mi) through very level to gently rolling
farmland. The Turkey Creek drainage basin is long and narrow.
The western half of the basin is extremely flat and the
drainage channels, along with portions of the main-stem, flow
intermittently throughout the summer and fall. In the middle
of the watershed the land develops into a gently rolling
terrain, which becomes more pronounced to the east.
The climate of Turkey Creek is sub-humid continental and
typical of the Central Plains region.. It is characterized by
wide variations in temperature between winter and summer.
Cold winter systems travel from the north across the
continent. Daily average winter temperatures remain below
freezing. Summers are generally hot and humid. Average
annual precipitation ranges from 68.6 cm (27 in.) in the west
to 73.7 cm (29 in.) in the east. More than half of the annual
rainfall is from thunderstorms during May, June, July, and
August. Because of the large influence of thunderstorms on
total annual precipitation, rainfall volumes from year to year
vary dramatically. Average seasonal snowfall ranges between
56 and 86 cm (22-34 in.). Snowpack does not remain on the
ground all season long. The growing season ranges from
between 170-200 days with the last frost date around April 15
and the first killing frost around October 23.
Turkey Creek is located in the Central Great Plains Winter
Wheat and Range Region and lies on the eastern boundary of the
Central Loess Plains (75) Land Resource Area. Soils in the
drainage basin consist, for the most part, of silt loams.
There are 3 major soil associations. Hastings soils are well
drained throughout the profile and are classified under
hydrologic group B. Crete and Butler soil associations have
well drained surface layers and a restrictive silt clay
sub-layer that blocks both water movement and root
development. These soils are classified in hydrologic group
D.
60
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CRiTE
CTl
WILBUR
Figure 4.10 Location of Turkey Creek Watershed,
-------
Approximately 95% of the Turkey Creek Basin is devoted to
agriculture. The major agricultural crops grown in the basin
are corn, sorghum (milo), winter wheat, and soybeans. The mix
of crops has changed drastically over the past 35 years, due
in most part to the development of irrigation. Corn and
soybeans are mostly irrigated. Sorghum and wheat are dryland
farmed. With the development of irrigation, corn has replaced
wheat as the major crop.
4.3 DEVELOPMENT OP REGIONAL "REPRESENTATIVE" WATERSHEDS
The concept of regional "representative" watersheds was
developed in this study and used as the basis for the
sensitivity analyses and resulting pesticide frequency
distributions. The primary need was a sound technical basis
for stating that the frequency distributions can be reasonably
applied and used for a broader geographical region than just
the specific HSPF application watershed. In addition, since
many exposure assessments conducted as part of the pesticide
registration process will involve more than one region, some
"normalization" is needed to allow comparisons between and
among the various regions.
With these needs in mind, the definition of a representative
regional watershed can be stated as follows:
A regional representative watershed is a standarized
watershed that will demonstrate hydrologic, sediment,
and water quality (primarily pesticide) behavior that '
is typical or representative of watersheds throughout
the region, within the order-of-magnitude accuracy
appropriate for a screening-level analysis.
Thus, the representative watershed will not exactly duplicate
the behavior or response of all watersheds in the region, or
any one specific watershed (except by pure chance), but it
will demonstrate behavior that is typical of watersheds in the
region within the latitude provided by the order-of-magnitude
accuracy required.
The underlying premises of the representative watershed
concept are not new to the field of water resources. For
example, a number of government agencies active in
environmental research and monitoring often use point
measurements or studies of a small area to help elucidate,
analyze, and project behavior for a larger region. The
Agricultural Research Service has established regional
research watersheds ajnd small experimental agricultural
watersheds (see Burford et al., 1972) since the 1920's and
1930's in various locations across the country to study
62
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watershed hydrologic processes and regional difference's? the
Little River Watershed in Georgia, which was an HSPF
application site, is one such watershed. The U.S. Geological
Survey has established "hydrologic benchmark" stations as
general regional indicators of water quality conditions from
natural watersheds across the country (Biesecker and Leifeste,
1975). The U.S. Forest Service has performed a survey of
watershed databases suitable for nonpoint pollution model
development and testing (USPS, 1977); it classified watersheds
as 'experimental' or 'representative1, with representative
referring to a watershed "that has been instrumented to be
indicative of a broad, homogeneous area" (USFS, 1977, pg.
101).
Thus, the approach of studying one small area as a'basis for
projecting environmental conditions and processes over a much
larger region is well-established. To identify a watershed
that is truly representative of a large region, we would
ideally like to select a real watershed that has
characteristics of size, land use/cropping distribution,
soils, topography, climate/meteorology, and drainage that
correspond to average or mean conditions throughout the
region. However, lacking the resources to undertake such a
data-intensive approach, in this study we compared differences
in characteristics between the HSPF application watersheds and
regional values as a basis for transforming them into regional
"representative" watersheds. The remainder of this section
describes this transformation process in terms of the
assumptions and adjustments made for the key characteristics
of watershed area, land use/crop distribution, land and soil
characteristics, meteorologic conditions, drainage character-
istics' and agricultural practices.
4.3.1 Watershed Area
Although the area of the representative watershed is a basic
requirement for modeling, the specific value selected is less
critical than the other watershed characteristics discussed in
this section. For this study, a moderate size watershed of
1000 sq.km. (386 sq. mi.) was selected as the standard area
for the representative watershed in all agricultural regions.
Although this specific value is somewhat arbitrary, the
selection was based on the following considerations:
a. The area must be large enough to support a perennial
stream, i.e., continuous flow conditions in all
agricultural regions to avoid the complications of
no-flow conditions on pesticide concentrations.
Generally, watersheds greater than 2.50 to 500 sq. km.
will support perennial streams although this range
will vary significantly across the country.
63
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b. The area should be comparable to the size of the HSPF
application watersheds to avoid unnecessary
extrapolation of the watershed conditions and
characteristics developed from the calibration/
verification exercise. As shown in Table 4.1, the
area of the application watersheds ranged from 334 to
7236 sq. km., with the larger watersheds including
smaller subwatersheds that were modeled during the
application.
c. The area should be large enough to provide a reason-
able distribution between surface and sub-surface
flow components, and to provide sufficient flow time
in the stream channel to allow instream chemical fate
processes to affect concentrations. The smaller HSPP
application watersheds, with areas of 300 to 400 sq.
km., were dominated by surface runoff, demonstrated
zero-flow conditions during extreme dry periods, and
experienced mean flow-through times of less than two
to three days.
Based on these considerations, the 1000 sq. km. watershed size
was selected as a reasonable compromise that would provide
continuous streamflow, with a more even distribution of
surface and subsurface flow and longer instream flow times
than the smaller application watersheds, but still remain
within the size range of all the application watersheds.
4.3.2 Land Use/Crop Distribution for Representative
Watersheds
A combination of data was used to derive land use/crop
distribution values for the five agricultural regions. Table
4.3 lists the distribution values derived from the various
sources, and the final values used for the representative
watersheds. The 1'978 Census of Agriculture, Summary and State
Data (U.S. Dept. of Commerce, 1981), provided a basis for
calculating initial land use/crop distribution values. This
source provides data, on a perstate basis, such as total
acreage in farmland, cropland, pastureland, as well as
harvested acreage of specific crops. Using these data,
percentages for major crops, pasture and/or other cropland,
and forest were calculated for the regions in which the study
watersheds are located. For example, the Delta States (i.e.,
Arkansas, Louisiana and Mississippi) were used for the
Mississippi Delta Region.
Since these values are based on state boundaries, they do not
accurately represent the land use solely within the
agricultural region. Although the census provides
64
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TABLE 4.3 LAND USE/CROP DISTRIBUTION FOR AGRICULTURAL REGIONS AND
REPRESENTATIVE WATERSHEDS
Ul
Region
Southeast
Mississippi
Delta
Eastern
Cornbelt
Western
Cornbelt
Central
Plains
HSPF
Land Use/ Application
Crop Category Watershed
(%) (%)
Corn
Soybeans
Pasture and/or
other cropland
Forest
Cotton
Soybeans
Pasture and/or
other cropland
Forest
Corn
Soybeans
Pasture and/or
other cropland,
Forest
Corn
Soybeans
Pasture and/or
other cropland.
forest
Wheat
Sorghum
Pasture and/or
10
10
40
40
1 c4
J54
16
30
25
34
21
18
44
22
34
20
27
53
1978
Census Data
(State-Basis)
(%>
11
15
46
28
7
30
52
11
36
29 ,
29
6
29
22
49
14
5
81
1978
Census Data
(Graphic Summary)
(*)
15-20
25-30
10-15
40
20-23
40-45
<10
30
30-40
30-35
10-15
10
35-40
30-35
25-30
30-40
15-20
40-45
Final
Distribution for
Representative
Watersheds
(%)
20
30
10
40
20
45
5
30
40
35
15
10
40
35
25
35
20
45
other cropland,
forest
-------
county-level data for each state, the effort to aggregate the
county data was not justified considering the approximate
boundaries of our defined agricultural regions.
The 1978 Census of Agriculture, Graphic Summary (U.S. Dept. of
Commerce, 1982) was used in correcting the state-based values:
land use and crop distribution data is depicted on multicolor
choropleth maps of the entire United States. A particular
geographical location can easily be singled out from these
maps, and estimates for land use/crop distribution in a
particular region are, therefore, more accurate. In the case
of the Delta States, for example, the calculations based on
the 1978 Census of Agriculture, Summary and State Data
indicate that 7% of cropland acreage was in cotton. In 1978,
the majority of the cotton grown in the Delta States was
actually grown in the region of the Yazoo River Watershed.
According to the Graphic Summary, the percent acreage in
cotton in the region near the Yazoo River was in the range of
20% to 23% or more. The disadavantages inherent in using the
Graphic Summary is that the values tend to be rather
approximate, since various color codes on the map represent
different ranges of percentages, e.g., 10-19%, 20-29%, 30% or
more.
In summary, the final values for land use/crop distributions
of our representative watersheds are based on three sets of
values derived from the 1978 Census of Agriculture Summary and
State Data, the 1978 Census of Agriculture Graphic Summary and
the actual land use distribution of the HSPF application
watersheds. These values were also checked with other
sources; a report titled "Major Land Uses in the United
States: 1978" (Frey, 1982), along with land use and crop
season profiles (Unger, 1979), provided a means of checking
the feasibility and consistency of the distribution values.
The final land use/crop distribution shown in Table 4.3 were
derived from the above sources, with the crop percentages
usually set near the upper end of the range of values
estimated. This was done to provide a degree of conservatism
to the assessment procedures, since pesticide problems would
likely occur in watersheds where cropland is predominant,
while still maintaining a reasonable distribution of
non-cropland for the region.
4.3.3 Topographic, Soils, and Sediment_ _CTia_r_acteri3ti_c_s
Whenever HSPF is applied to a new watershed, model parameters
that reflect topographic, soils, and sediment characteristics
must be evaluated. Most parameters, such as land slope,
overland flow length, crop canopy and interception, etc. are
determined from specific watershed and crop information, while
66
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other parameters, such as effective infiltration rates,
nominal soil moisture storages, recession rates, etc. are
evaluated through the calibration process. Parameter values
for the regional representative watersheds were developed
primarily from the parameters evaluated for the HSPP
application watersheds. Calibration parameters were assumed
to be identical in both watersheds. For the remaining model
parameters, selected county soil surveys, data on hydrologic
soil groups, and other regional information was evaluated to
determine if adjustments were needed to reflect any
differences in characteristics between the application
watershed and region-wide values.
In most all cases, little or no adjustment to the application
watershed parameters was required. For the larger application
watersheds, i.e., the Iowa River and Yazoo River, the entire
watershed area was segmented into subregions with differing
characteristics and parameter values providing a range of
conditions from which the "representative" values could be
selected. For example, the Iowa River was segmented into
three groups representing the upper, middle, and lower regions
of the basin; the parameters of the middle region were
selected as most representative of the Western Cornbelt. In
the Yazoo River, the study area was segmented into two regions
representing the delta and bluff physiography; parameters for
the delta region were selected as most representative of the
agricultural land in the Mississippi Delta region (see
Appendices G through K for the specific application watershed
parameter values.)
If agricultural practices for the application watershed
differed signicantly from the conventional agricultural
practices assumed for each region, adjustments to land cover,
crop interception, surface roughness, and soil moisture
retention parameters were made to better reflect regional
conditions. These adjustments were based on prior experience
in evaluating the effects of agricultural practices on HSPF
parameters (Donigian et al., 1983). Section 4.3.6 describes
the nature and sequence of agricultural practices assumed in
each region.
Selected sediment and soil characteristics that have a direct
impact on pesticide processes are summarized in Tables 4.4
through 4.7 for each agricultural region. Table 4.4 shows the
assumed sand/silt/clay percentage distribution of the
edge-of-stream sediment loads from each crop and land use in
each region. HSPF requires these distributions because
instream processes of sediment transport (i.e., advection,
scour, deposition) and sediment-chemical interactions are
modeled separately for each size fraction, whereas the
edge-of-stream sediment load is calculated as the total mass
input. The range of distributions shown in Table 4.4 is based
67
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TABLE 4.4 ASSUMED SAND/SILT/CLAY PERCENTAGES FOR
SEDIMENT EDGE-OF-STREAM LOADINGS
Region
Southeast
Mississippi
Delta
Eastern
Cornbelt
Western
Cornbelt
Central
Plains
Crop 1
Corn
10/45/45
Cotton
5/50/45
Corn
5/55/40
Corn
5/55/40
Wheat
Crop 2
Soybeans
10/45/45
Soybeans
5/50/45
Soybeans
5/55/40
Soybeans
5/55/40
Sorghum
Pasture
5/45/50
2/53/45
0/55/45
0/60/40
Forest
0/50/50
0/55/45
0/55/45
-
(Incomplete)
on limited particle-size data of eroded sediments from
field—size areas in Iowa (Johnson and Baker, 1982) and
Mississippi (Doty and Carter, 1965). Erosion from pasture
and forest lands is assumed to produce little or no sand
particle, while the analogous cropland percentage of sand is
only 5 to 10%. Thus, the edge-of-stream loadings are
comprised primarily of fine silt and clay particles which are
also the primary hosts for adsorbed chemicals.
Table 4.5 summarises the soil bulk densities assumed for the
various soil layers in each region. The values are based on
some specific data in Iowa (Johnson and Baker, 1982) and
correlations of bulk density with soil texture by Rawls
(1983). They demonstrate the relatively small range of bulk
density values commonly found for most agricultural soils.
Tables 4.6 and 4.7 respectively provide the percent organic
carbon contents of the soil layers and instream suspended and
bed sediments for each region. The soil organic carbon values
shown in Table 4.6 are based primarily on data presented by
Rao et al. (1984) for a group of selected soils from regions
across the country; most of our defined agricultural regions
were represented by Rao's data. In addition, Karickhoff et
al. (1979) provided values for selected southeastern soils and
Karickhoff (1981) reported percent organic carbon values for
various sediment samples collected and analyzed by Hassett et
al. (1980). These primary sources were supplemented by
generalized information on percent nitrogen in surface soils
68
-------
across the U.S. (Parker et al., 1946) and specific values for
percent organic matter provided by Lyons et al. (1952).
Site-specific values of percent organic matter for Iowa
(Johnson and Baker, 1982) were used to confirm the appropriate
values for the Western Cornbelt. The resulting surface values
for percent organic carbon were assigned to the surface and
upper zone soil layers (i.e., 15 cm depth); the variation with
depth (i.e., lower and ground-water zones) was derived from
regional soil profile data on organic matter from a
computerized soils data base under development by Carsel et
al. (1983) and generalized information presented by Brady
(1974) and Kilmer (1982). As shown in Table 4.6, we assumed
the lower zone organic carbon values were one—half the surface
and upper zone values, and the ground-water zone organic
carbon values were a factor of 10 less than the lower zone
values.
Very little data was available to define the percent organic
carbon for each particle size fraction of the suspended and
bed sediments shown in Table 4.7. We relied primarily on the
data presented by Rao et al. (1984) for percent organic carbon
on the sand fraction and fine fraction (i.e., silt and clay)
for six soils across the country, similar data for
southeastern soils by Karickhoff et al. (1979), and a detailed
distribution for five size classifications for Webster soils
from the Western Cornbelt (Rao et al., 1984). Except for the
TABLE 4.5 ASSUMED SOIL BULK DENSITIES FOR EACH
AGRICULTURAL REGION
Region
Southeast
Mississippi
Surface
Zone
1.4
1.35
Soil
Upper
Zone
1.4
1.35
Bulk
Density (g/cc)
Lower Ground-water
Zone Zone
1.5
1.5
1.6
1.6
Delta
Eastern
Cornbelt
Western
Cornbelt
Central
Plains
1.3
1.2
1.3
1.3
1.2
1'. 3
1.5
1.5
1.5
1.6
1.6
1.6
69
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TABLE 4.6 ASSUMED PERCENT ORGANIC CARBON FOR EACH
SOIL LAYER
% Organic Carbon
Region
Southeast
Mississippi
Surface
Zone
1.0
1.5
Upper
Zone
1.0
1.5
Lower
Zone
0.5
0.75
Ground-water
Zone
0.05
0.075
Delta
Eastern
Cornbelt
Western
Cornbelt
Central
Plains
2.
2.
2.
0
5
0
2.
2.
2.
0
5
0
1.
1.
1.
0
25
0
0.
0.
0.
10
125
10
Western Cornbelt, the carbon content of the silt and clay
fractions were set equal due to the lack of data to justify
different values.
4.3.4 Regional Meteorologic Conditions
In conjunction with the HSPF applications to the regional test
watersheds, 10-year meteorologic data bases were developed in
each region to provide the regional input data for running
HSPP and producing frequency distributions of pesticide
concentrations and loading. The 10-year data bases were an
extension of the meteorologic time series used in simulating
the actual application watershed in each region. The critical
time series of precipitation and evaporation were subsequently
adjusted, as described below, to better represent regional and
long-term conditions for the representative watershed
simulations.
Table 4.8 summarizes for each agricultural region the
meteorologic data, station location, and period of record used
in the representative watershed simulations. For the
precipitation and evaporation, it also shows the long-term
regional mean value, the 10-year station mean, and the
adjustment factor. Only the precipitation and evaporation
time series were adjusted. The remaining time series are used
70
-------
exclusively in the snow calculations and thus only during the
winter months. Because of the complexities of simulating snow
accumulation and melt, the interactions between the calibrated
parameters and the meteorologic data, and the relatively
central location of the application watershed within the
region, no adjustments were made to the snow-related
meteorologic input data. Thus, we felt the snow simulation as
performed on the application watershed would be reasonably
representative of the region.
However, for both the precipitation and evaporation input data
constant multipliers (i.e., adjustment factors in Table 4.8)
were applied to each value in the 10-year time series. The
objectives of the adjustment were to account for differences
between the specific 10-year station time series and long-term
region-wide values. Different procedures were required to
determine the appropriate adjustment factor for each data
type. For evaporation, the adjustment factor is the product
of the ratio of the long-term regional mean to the 10-year
station mean, and the appropriate pan coefficient. Values for
long-term regional pan evaporation and pan coefficients were
derived from the Climatic Atlas of the U.S. (USDC, 1979).
Because of the critical impact of both precipitation intensity
and volume on watershed runoff, the adjustment factor for
precipitation was designed to consider both characteristics.
The volume adjustment factor was calculated as the ratio of
TABLE 4.7 ASSUMED PERCENT ORGANIC CARBON FOR SIZE
FRACTIONS OF SUSPENDED AND BED SEDIMENTS
% Organic Carbon
Region Sand Silt Clay
Southeast 0.5 2.0 2.0
Mississippi 0.5 2.0 2.0
Delta
Eastern 0.5 2.5 2.5
Cornbelt
Western 1.0 3.0 6.0
Cornbelt
Central 0.5 2.5 2.5
Plains
71
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TABLE 4.8 SUMMARY OF METEOROLOGIC DATA USED IN REPRESENTATIVE WATERSHED
10-YEAR SIMULATIONS
to
Region
Southeast
Mississippi
Delta
Eastern
Cornbelt
Data Type Station
Precipitation SEWRL
Gage 27
Evaporation Tifton, GA
Precipitation Clarksdale, MS
Evaporation Scott, MS
Precipitation Upper
Sandusky, OH
Evaporation Hoytville, OH
Air Tiffin, OH
Temperature
Dew Point Tiffin, OH
Wind Hoytville, OH
Wind Cleveland, OH
Wind Mansfield, OH
Solar Wooster, OH
Radiation
Period Of
Record
1971-1980
1971-1980
1970-1979
1970-1979
1974-1983
1974-1983
1974-1983
1974-1983
1974-1983
(Apr-Oct)
1974-1976
(Nov-Mar)
1976-1983
(Nov-Mar)
1974-1983
Regional Mean Station Mean Adjustment
cm (in.) cm (in.) Factor
122 (48) 126 (49.8) 1.00
146 (57.5) 145 (57.2) 0.75
147 (58) 149 (58.5) 1.10
147 (58) 143 (56.4) 0.78
91,4(36) 91.7(36.1) 1.00
108 (42.5) 121 (47.6) 0.68
(continued)
-------
TABLE 4.8 (continued)
Region
Western
Cornbelt
Central
Plains
Data Type
Precipitation
Evaporation
Air
Temperature
Dew Point
Wind
Solar
Radiation
Precipitation
Evaporation
Evaporation
Air
Temperature
Dew Point
Wind
Solar
Radiation
Station
Traer, I A
Farmer' s
Coop WS
Marshalltown,
IA
Marshalltown,
IA
Farmer' s
Coop WS
Farmer's
Coop WS
Crete, NB
Clay Center,
NB
Crete, NB
Crete, NB
Crete, NB
Crete, NB
FMC/Araes, IA
Period Of
Record
1969-1978
1969-1978
1969-1978
1969-1978
1969-1978
1969-1978
1972-1982
1972-1982.
1972-1982
1972-1982
1972-1982
1972-1982
1971-1983
Regional Mean Station Mean Adjustment
cm (in.) cm (in.) Factor
81.3(32) 74.2(29.2) 1.15
127 (50) 129.8(51.1) 0.725
-------
the long-term regional mean annual precipitation to the
10-year station mean. To investigate any potential
differences in precipitation intensity characteristics, the
10-year station record was analyzed for the frequency and
duration of storm intensities, and this information was
compared to long-term int^nsity-duration-frequency statistics
for selected U.S. Weather Bureau Stations within each region
(USDC, 1955). The 1-hour, 3-hour, 6-hour, and 24-hour
rainfall intensities for storms with return periods of
2—years, 5—years, and 10-years, were estimated from the U.S.
Weather Bureau Technical Paper No. 25 (USDC, 1955) for
available stations within each region and compared to the
corresponding intensities derived from the 10-year station
record. Intensity adjustment factors were then calculated as
the ratio of the long-term intensity to the 10-year record
value for each duration-frequency combination (e.g., 5-hour,
5-year storm). The average intensity adjustment factor was
compared to the volume adjustment factor to produce the values
shown in Table 4.8. In general, greater weight was given to
the intensity adjustment factor because of the greater impact
of rainfall intensity on storm runoff, as long as the
resulting annual volumes were within the range of mean annual
precipitation characteristic of the region.
A 10-year time period was chosen for simulating pesticide
runoff and concentrations simulation as a compromise between
the length of time required to establish a stable frequency
distribution and computer cost considerations. Hydrologic
modeling analyses to establish the frequency of extreme
events, on the order of 50 or 100-year flood flows, often
involve extrapolation of frequencies developed from 30 to 50
years of simulation. If stochastic procedures are used, many
100-year sequences of stream flow may be employed. However,
frequency analyzes of water quality conditions often focus on
2-year, 5-year, or 10-year events since it is usually
uneconomic to design facilities or base water quality
management decisions on more extreme events. A study by
Hydrocorap (1975) showed that for urban nonpoint pollution
problems, a 5-year simulation period provides a stable
frequency curve when compared to curves developed from both
longer and shorter time periods. Because of the highly
dynamic and seasonal nature of pesticide runoff, especially
for short-lived or non-persistent chemicals, a 10-year
simulation period was selected. In conjunction with the
procedures discussed above for adjusting the 10-year
meteorologic data base to better reflect average long-term
conditions, the 10-year simulation period producing 3650 daily
values of concentration and runoff loading provides a valid
population for developing exceedance frequency curves.
74
-------
4.3.5 Drain_age and Channel ,Characteristics
In addition to area, land use, soil characteristics, and
mateorologic conditions, information on drainage and channel
characteristics are required for any watershed modeling study'.
When a model is applied to a specific watershed, the required
data can be readily obtained from detailed topographic maps or
field surveys. However, since our application watersheds did
have the same drainage area
as our 1000 sq. km
channel characteristics
area and regional characteristics
not
representative watershed, and since
will change with drainage
(e.g., climate, soils), procedures were needed to define
channel length, slope, anci geometry for each representative
watershed. Standard hydrplogy references (e.g., Linsley et
al., 1975; Chow, 1964) and geomorphology texts (e.g., Leopold
et al., 1964) site the following relationship between channel
length and drainage area first developed by Hack (1957):
L = 1.J1A0-6
where L = main stem channel length, mi.
A = drainage area, sq. mi.
(4.1)
Hack initially developed the relationship from stream
characteristics in the Shenandoah Valley of Virginia and
Maryland, and later checked it with data from the northeastern
U.S., Arizona, and South Dakota. Although the exponent was
slighty higher for some western streams and the coefficient
varied between 1.0 and 2.5 for individual watersheds, the
average of all the data clo'sely followed Equation 4.1.
Gray
data
(1961) developed an
almost identical relationship
northeastern U.S. ranging
on more than 60 watersheds in the northcentral
from
and
in size from less than one square
kilometer to more than 5$00 sq. km. His coefficient was the
same as the 1.4 value in Equation 4.1 but his exponent was
0.568 instead of 0,6. Gray also developed 95% confidence
limits for his regression equation which provided a standard
estimate of 25%. Thus, for a 1000 sq. km drainage
and 131 km
error of
area the
within
80 km.
channel length
Thus, for a 1000 sq.
could vary between 54
these confidence limits and have an average length of
Our own independent checks of Equation 4.1 using data on
streams in Ohio (Langoein, 1947) and the drainage
characteristics of the H^SPF application watersheds further
support the relationship.j Although there appears to be some
variation in the exponent and coefficient for different
geographical regions, thje available data was not sufficient
to justify the use of different values in each agricultural
region.
75
-------
Consequently, Eguation 4.1 was used to define the drainage
characteristics of the representative watersheds in each
region because of its general applicability to a broad range
of watershed sizes and locations. For our 1000 sq. km (386
sq. mi) representative watershed, Equation 4.1 predicts an 80
km (50 mi.) channel length. This total length was divided
into five separate channel reaches, to be consistent with the
number of reaches used in our application watershed
simulations, and Equation 4.1 was then used to back-calculate
the area tributary to each reach. Figure 4.11 is a general
schematic of the configuration of the representative
watershed, with five equal channel reaches and associated
tributary areas used for all agricultural regions.
In addition to tributary area and length, chann.el
characteristics such as slope, geometry, and roughness are
needed for modeling instream flow, sediment, and chemical
processes. Travel time and chemical processes for pesticides
in streams are dependent on these channel characteristics,
since they determine the volume, surface area and velocity of
flows. Thus, the design of representative watersheds must
incorporate typical channel geometries and hydraulic
conditions. Since such characteristics vary with distance
from the basin headwaters due to increases in discharges,
relationships between position in the watershed and channel
characteristics must be developed.
Leopold and Maddock (1953) were one of the first investigators
to suggest that power-law relationships can be defined between
stream discharge and channel geometry. As discharge increases
at a given point along a stream, depth, width and velocity of
the flow increase as a power function of discharge, with width
typically increasing most rapidly and velocity increasing most
slowly. Leopold and Maddock differentiated between such
relationships at a fixed point along a stream varying
probability of occurrence and variations in geometry with
distance downstream as discharge increases (constant
probability of occurrence). Numerous investigators (Wolman
and Leopold, 1957; Lumb, 1973; Osterkamp and Hedman, 1982?
Williams, 1978; Osterkamp, et al., 1983) have used this
approach to investigate stream morphology in various parts of
the U.S. Consequently, it is an appropriate mechanism for
defining stream channel geometries for our representative
watersheds.
Since geometry is dependent on discharge, a controlling
discharge must be specified at each point of interest in the
channel system. It has been adequately demonstrated that, for
a given frequency of occurrence, discharge is a power function
of drainage area. Such functions can be defined for
hydrologically homogeneous areas through regression analyses,
as has been done by the U.S. Geological Survey, state
76
-------
REACH
REACH LENGTH
(km)
REACH
TRIBUTARY AREA
(aq. km)
CUMULATIVE
DRAINAGE AREA
(sq. km)
WATERSHED
BOUNDARY
REACH 1
16 km
68
68
REACH 2
I
150
218
I I
REACH 3 | REACH 4 I REACH 6
I
16 km | 16 km
I
16 km
16 km
210
264
308
428
692
1000
WATERSHED
OUTLET
Figure 4.11 Schematic of representative watershed drainage and
reach configuration.
-------
geological surveys, and other agencies for most states and
river basins. Hydraulic geometry in most streams changes
abruptly at the top of channel banks. , Plows in excess of the
bankfull discharge begin to inundate the floodplain and occupy
a much greater position of the floodplain. Consequently, the
b ank f u11 discharge is defined as the controlling discharge for
the representative watersheds. While the hydrologic return
period for bankfull discharges in streams is typically between
1 year and 4 years, a return period of 1.5 is a reasonable
average (Leopold, et al.» 1964). For convenience, a 2 year
return period flood is used as the controlling discharge in
this study without significant loss of accuracy.
Using the above concepts as a basis, the following procedure
was used to calculate channel characteristics for each of the
representative watersheds.
1. Determine the center point of each channel reach, de-
fined as the mid-point of the channel reach length.
Determine the drainage area (A ) at this point using
Equation 4.1.
2. Compute the two year flood discharge from the region-
al equation for discharge versus drainage area:
- m
Q2 ~ a Ad (4.2)
3. Compute channel geometry from bankfull discharge
using the power functions for the region:
top width WT = b2o" (4.3)
bottom width WB = C2QJL (4.4)
depth D = d2Q^ (4.5)
cross-sectional area Ar = e Q (4.6)
U 2
4. Compute average velocity in the reach from cross-
sectional area and discharge:
V = Q2/Ac = f Q2S (4<7)
5. Estimate Manning's n (roughness) from photographs and
field investigations in the application watersheds.
6. Calculate average channel slope by assuming normal
depth and solving the Manning equation for slope.
The values for the coefficients (a-e) and exponents (ra-r) were
developed from regional regression analyses performed by
others in each of the regions. Variations in geometry with
78
-------
distance downstream for a given probability flood were used.
The principle sources for these values are given along with
the selected values in Table 4.9. Where no adequate
definitions of particular exponents and coefficients for a
region were available, channel geometries in the HSPF
application watersheds were used as a basis for estimating
reasonable values. The resulting power functions were tested
'by applying them to the application watershed in each region
and comparing results with actual channel characteristics.
Comparisons were also made in each region with watersheds of
comparable size to our representative watershed based on
information/data obtained from the U.S. Geological Survey
Strearaflow/Basin Characteristics File (Dempster, 1983), which
is part of the USGS WATSTORE System (USGS, 1981). Since
channel sediment scour and deposition parameters were
calibrated on each application watershed and since these
processes are a function of channel slope, slope values
calculated by the above procedures were adjusted, if
necessary, to better reflect the range of channel slopes
observed in the region and the application watersheds. Only
the Eastern and Western Cornbelt regions required slight
adjustments to the calculated slopes in order to agree with
regional values and preclude excessive channel scour on the
representative watershed.
The results of applying the regional power functions and
subsequent adjustments are summarized in Table 4.10, which
presents the channel characteristics of the most downstream
reach in each region. The variations in channel
characteristics with region is apparent.
4.3.6 Agricultural Practices for Representative Watersheds
In order to properly represent the complex interactions of
climatic conditions and agricultural activities that produce
and affect pesticide runoff, a detailed characterization of
agricultural practices was developed for each agricultural
production region. This required primarily a definition of
the timing, type, and frequency of tillage practices and
normal planting and harvesting periods for each crop and
region. This information was then translated into model
parameters in HSPF for simulation of pesticide runoff from our
representative watersheds.
Agricultural and tillage practices vary widely among different
regions and within a region, based on local climate, soils,
topography, and crops. Selection of a specific tillage
practice or strategy by a farmer is a decision that considers
many additional factors such as production costs, pesticide
79
-------
TABLE 4.9 SUMMARY OF POWER FUNCTIONS FOR STREAM CHARACTERISTICS
Region
Southeast
Mississippi
Delta
Eastern
Cornbelt
Western
Cornbelt
a
120
84. 1
135
241
0.
0.
0.
0.
m
65
BO
65
54
b
8.50
2.23
2.10
6.00
n
0.42
0.49
0.53
0.40
c
4.40
0.63
6.30
4.45
P
0.42
0.49
0.53
0.40
d
0.30
0.93
0.46
0.35
q
0,42
0.36
0.34
0.34
1.
1.
1.
1.
e
94
33
92
83
r
0.85
0.85
0.87
0.74
£
0.52
0.76
0.52
0.55
s
0.15
0.15
0.13
0.26
Source
Lumb (1973)
Williams (1978}
Oster Kamp et al. (1983)
Oster Kamp et al. (1983)
Hedman et al. (1974)
Oster Kamp and Hedman (1982
TABLE 4,10 SUMMARY OF COMPUTED CHANNEL CHARACTERISTICS FOR THE DOWNSTREAM MOST
REACH IN EACH REGION
CO
o
Region
Southeast
Mississippi
Delta
Eastern
Cornbelt
Western
Cornbelt
Central
Plains
Top
Width
316
187
189
188
Bottom
Width
164
53
82
139
Depth
11.
24.
8.8
6.5
%
Channel
Slope
.0777
.0208
.0700
.0436
Channel
"n"
.090
.042
.045
.035
Floodplain
11 n"
.150
.200
.100
.060
(Incomplete)
-------
and fertilizer use, expected pest problems, crop rotations,
available machinery, etc. (Duffy and Hanthorn, 1984).
Available tillage methods cover a broad spectrum of practices,
but they have been generally grouped in terms of
"conservation" versus "conventional" tillage practices
(Crosson, 1981). The Resource Conservation Glossary (Soil
Conservation Society of America, 1982) defines conventional
tillage as "the combined primary and secondary tillage
operations performed in preparing a seedbed for a given crop
grown in a given geographical area"; conservat ion tillage then
is "any tillage system that reduces loss of soil or water
relative to conventional tillage; often a form of noninversion
tillage that retains protective amounts of residue mulch on
the surface."
Using slightly different terminology, Duffy and Hanthorn
(1984) describe available systems as no-till, reduced-till,
and conventional-till. They further note that "delineation of
tillage strategies can be thought of as a continuum based on
the amount of plant residue left on the field and the extent
of soil disturbance. No-till and conventional-till strategies
comprise the extremes of the continuum, while reduced-till
includes the range of practices in between." Reduced-till and
no-till are forms of conservation tillage which is often
functionally described as everything other than conventional
tillage, with the primary differences of less soil disturbance
and more plant residues left on the land surface. Table 4.11
from Crosson (1981) summarizes the key distinguishing
characteristics of the two tillage systems.
After reviewing the agricultural literature on tillage systems
in light of the objectives of this study, c o nventiona1 tillage
was selected as the standard agricultural practice included in
each representative watershed simulation. This decision was
based on the following:
a. Conventional tillage is still the predominant prac-
tice in most regions of the country, although its use
has been steadily declining from 82.3% of cropland
areas in 1973 to 68.0% in 1981 (Christensen and
Magleby, 1983).
b. For selected regions, the extent of conventional till-
age use in 1981 was as follows (Christensen and
Magleby, 1983).
Southeast 52%
Delta States 82%
Cornbelt 62%
Northern Plains 67%
Southern Plains 82%
81
-------
TABLE 4.11 DISTINGUISHING CHARACTERISTICS OF CONSERVATION TILLAGE AND CONVENTIONAL
TILLAGE (Source: Crosson, 1981)
Tillage System
Characteristic Conservation Conventional
Tillage instrument Not the moldboard plow Moldboard plow
Crop residue on soil Enough to reduce erosion Little or none
and surface significantly
Weed control Primarily herbicides, Mechanical cultivation more
but may also cultivate important than with conser-
vation tillage, but herbicides
typically used also
-------
c. Conventional tillage will generally result in higher
runoff, erosion, and pesticide losses, and thus
provide a reasonable 'worst-case' or conservative
exposure assessment.
d. Many soils and regions are not well suited for conser-
vation tillage; thus conventional tillage practices
will continue to dominate in many if not most regions
of the country.
e. Project resource and time constraints precluded simu-
lation of more than one practice in each
representative watershed; future studies could use
the conventional practice results in this study as a
'base' condition against which the impact of best
management practices, such as conservation tillage,
could be compared.
Although a wealth of information exists on the practice,
benefits, and economics of conservation tillage, there appears
to be no central source of information to define the specific
components and timing of conventional tillage practices in
each region. Consequently, information from a variety of
sources was integrated in order to develop appropriate
regional definitions. A study of the impact of best
management practices on HSPF parameters included a general
definition of conventional practices for Iowa (Donigian et
al., 1983). Moldenhauer et al-. (1983) discuss conservation
tillage practices on a regional basis and make comparisons to
conventional methods. In discussing economic returns for corn
and soybean tillage practices, Duffy and Hawthorn, (1984) note
that the higher clay content of southern soils results in
greater use of chisel or disc plows than in the Midwest, and
that weed problems are usually more severe requiring more
frequent cultivation.
In addition to these general references, site-specific
information was available for each HSPF application watershed
in each region. The USDA. Crop Enterprise Budgets (USDA.,
1981), provided information on the usage of various farm
implements for each major crop for multiple sub-regions within
each state. For example, from these budgets we could
determine how often and in which months farmers would likely
use moldboard plows, chisel plows, row cultivators, planters,
etc. throughout our agricultural regions. This detailed
information helped to confirm and generalize the information
developed from the other sources noted above.
Table 4.12 lists the primary characteristics of the
conventional agricultural practices assumed for all crops on
all our representative watersheds, except for winter wheat in
the Central Plains which follows a different sequence and
83
-------
timing of operations. The timing of activities for each crop
in each region is keyed to the normal planting and harvesting
dates as defined in USDA Agricultural Handbook No. 283, "Usual
Planting and Harvesting Dates" (USDA, 1972). The USDA crop
budgets were used to define plowing and cultivation times and
to confirm the specific months for planting and harvesting.
Table 4.13 list the target dates for the various activities
for each crop and region; the actual dates were adjusted each
year to preclude chemical applications and tillage on days
when it rains and on the day after a major rainfall event
(i.e. greater than 1.5 cm) to allow soil drainage and farmer
access to the fields.
4.4 PESTICIDE PARAMETERS AND ASSUMPTIONS
Modeling pesticide fate and transport in watersheds involves
modeling two distinct phases - the land/soil phase and the
channel phase - and then integrating these two phases to track
the pesticide through the system and produce instream
concentrations at the watershed outlet. This section
discusses the key pesticide parameters and assumptions used in
simulating both the land/soil and channel phases of pesticide
fate on the representative watersheds with HSPF. Key aspects
TABLE 4.12 PRIMARY CHARACTERISTICS OP "CONVENTIONAL"
AGRICULTURAL PRACTICES ASSUMED IN THIS
STUDY*
Primary tillage in spring four to six weeks prior to
planting.
Either moldboard plow and/or multiple discing used
for primary tillage, resulting in all residue
covered or buried.
Discing and seedbed preparation prior to planting.
Surface application of pesticide at planting time.
One to three mechanical cultivations for weed control
beginning three to eight weeks after planting.
Discing in fall after harvesting, with plant residues
removed or substantially reduced.
* Winter wheat in the Central Plains follows a different
sequence and timing of operations.
04
-------
TABLE 4.13 ANNUAL TARGET DATES FOR AGRICULTURAL ACTIVITIES
Southeast
Primary Tillage
Seedbed Preparation!
Chemical Application!
Planting
Cultivation
Cultivation
Cultivation
Harvest
Fall discing
Corn
Mar 10
Apr 10
Hay 1
Hay 20
.
Oct 20
Nov 1
Beans
Apr 14
May 14
June 7
June 30
-
HOW 5
NOV IS
Mississippi
Delta
Cotton
Mar 1
Apr 15
May 7
June 7
July 15
Sept 20
Oct 15
Beans
Mar 30
May 10
June 7
July 15
-
Oct 5
Oct 30
Eastern Western Central Plains
Cornbelt Cornbelt
Corn Beans Corn
Apr 15 Apr 25 Apr 1
Hay 1 May 15 May 1
July 15 June 1
July 1
-
Oet 10 Sept 30 Oct 15
Nov 10 Nov 1 Nov 15
Beans Wheat
Apr 15
Hay 21 Sept 15
Juno 21
July 21
-
Oct 1 June 15
NOV 1
Sorghum
Apr 1
May 10
June IS
July 15
-
Sept 21
Oct 15
of the pesticide simulation involve the specific HSPF
pesticide parameters chosen for the methodology, sensitivity
analyses, pesticide application procedures and assumptions,
and specification of initial soil and stream conditions for
persistent compounds. Each of these are discussed below.
4.4.1 HSPFPesticide and Methodology Parameters
The HSPF PERLND (PEST) and RCHRES (GQUAL) modules were used in
simulating the land/soil and channel phases, respectively, of
pesticide fate and transport on the representative watersheds.
Table 4.14 lists all the primary land and stream pesticide
parameters used in HSPF, along with a short description and
assumptions employed in our methodology. Thirty-five
individual parameters are listed in Table 4.14; to perform
sensitivity analyses on each parameter at three individual
values for two crops and five representative watersheds would
require 1050 separate HSPF 10-year simulation runs. This was
well beyond available computing resources. Moreover, a
methodology that requires the evaluation of 35 separate
parameters would demand greater user effort than is
appropriate for a screening-level analysis.
Consequently, considering the need for simple use procedures
and taking advantage of the interrelationships between and
among parameters, the methodology was designed to require only
three key parameters - Koc, ks, kw - representing the
soil/sediment adsorption characteristics, soil/sediment decay
rate, and solution decay rate, respectively. All parameters
were either based on the values of one of the three
methodology parameters, were derived from past studies, or
85
-------
TABLE 4.14
HSPF PESTICIDE PARAMETERS AND
METHODOLOGY ASSUMPTIONS
HBfF
Parameter Name
Description
Land (PERLND PEST) Parameters
CMAX:
XFIXs
*K1:
Nl:
*SDGCON:
UDGCON:
LDGCON:
ADGCO8:
maximum solubility in
water
maximun permanently
fixed soil concen-
tration for each
soil layer
partition coefficient
for each soil layer
adsorption exponent for
each soil layer
surface degradation
rate
upper layer degrada-
tion rate
lower layer degrada-
tion rate
groundwater degrada-
tion rate
Instream (RCHRES GQUAL) Parameters
*FSTDECs solution decay rate
THFST:
ADDCPM (1):
ADDCPM (2):
ADDCPM (3):
ADDCPM (4)
*ADPM (1-3, 1):
*ADPM (4-6, 1):
ADPM (1-3, 2):
ADPM (4-6, 2):
temperature adjustment
coefficient for solu-
tion decay rate
decay rate for chemi-
cal absorbed to
suspended sediment
temperature adjustment
coefficient for
ADDCPM (1)
decay rate for chemi-
cal absorbed to bed
sediment
temperature adjustment
coefficient for
ADDCPM (3)
partition coef on
suspended sand, silt,
and clay
partition coef on bed
sand, silt and clay
adsorption/desorption
exchange rate on
suspended sand, silt,
and clay
adsorption/desorption
exchange rate on bed
sand, silt and clay
Assumptions
related to
Koc
equal to zero
related to Koc
and %OC
equal to 1.0
sensitivity test
variable
equal to SDGCON
equal to SDGCON
equal to SDGCON
sensitivity test
variable
set to HSPF default
value 1.072
equal to SDGCON
set to HSPF default
value 1.072
equal to SDGCON
set to HSPF default
value 1.072
related to Koc and
%OC
related to Koc and
% OC
equal to 36.0 to
approximante equi-
librium sorption
equal to .93 based
on field study
(Donigian et al.
(1983))
Key parameters for sensitivity analysis
86
-------
were amenable to the use of a default value, such as the
standard decay rate temperature correction coefficient of
1.072.
Koc, the organic carbon partition coefficient., is used to
calculate the soil-chemical partition coefficient, Kd, based
on the % organic carbon as follows:
Kd = Koc *OC (4.8)
100
where Kd = Soil-chemical partition coefficient,
ml/g
Koc = Organic carbon partition coefficient,.
ml/g—organic carbon
OC — percent organic carbon
A variety of investigations have shown that Koc and OC can be
used to characterize the sorption process for hydrophobia
organic compounds in both soil and aqueous systems (Hamaker
and Thompson, (1972), Rao and Davidson, 1980; Karickhoff et
al., 1979; Karickhoff, 1981; Rao et al., 1984). Consequently,
Koc is used in this study with the OC values shown in Tables
4.6 and 4.7 to calculate partition coefficients for the
various soil layers and the sand, silt, and clay fractions of
the stream suspended and bed sediments. Thus, each value of
Koc specifies 10 partition coefficients: four for the soil
profile, three for the suspended sediments (i.e. sand, silt,
clay) and three for the bed sediments. Pour values of Koc -
50, 500, 1500, and 5000 - were used in the sensitivity
analyses to cover the primary range of values for pesticides
where concentrations in surface water may be problematic.
Tables 4.15 through 4.19 show the specific partition
coefficients used in the sensitivity analyses from each Koc
value for each agricultural region.
Koc was also used to determine the appropriate water
solubility (i.e. CMAX in Table 4.16) for each sensitivity run
based on the following relationship developed by Kenaga and
Goring (1980):
Log Koc = -.55 log S + 3.64 (4.9)
where S — water solubility, mg/1
Pesticide runoff and stream concentrations are generally
insensitive to specific compound solubility limits since under
normal agricultural usage concentrations rarely, if ever,
approach the solubility of the compound. Equation 4.9 was
used to insure consistent Koc and solubility limits in our
87
-------
TABLE 4.15 CALCULATION OF PARTITION COEFFICIENTS (Kd) FROM Koc
and % OC FOR THE SOUTHEAST REGION
Soil %OC/100.
Surface Layer .01 0.5
Upper Layer .01 0.5
Lower Layer .005 0.25
Ground-water .0005 0.025
Layer
Koc
500 1500
5.0
5.0
2.5
0.25
15.
15.
7.5
0.75
5000
50.
50.
25.
2.5
Stream
(Suspended and
Bed Sediment)
Sand
Silt
Clay
.005
.020
.020
0.25
1.0
1.0
2.5
10.0
10.0
7.5
30.0
30.0
25.
100.
100.
simulations. Thus for the four Koc values, solubilities of
3382., 51., 6.97, and 0.87 mg/1 were defined by Equation 4.9.
The soil and sediment decay rate, ks_ is the second key
methodology parameter. Although HSPF allows the use of
different cnemieal decay rates for each soil layer, suspended
sediment, "and bed sediment, we used the value of ks for decay
.rates in all soil layers and stream sediments. For the soil
environment, decay rates for many compounds would likely
decrease with depth since surface decay processes, such as
volatilization and photolysis, would become less significant
at lower soil depths. However,
as microbial degradation and
if subsurface processes, such
hydrolysis, are the primary
a compound, the rates would
Relating soil pesticide rates
attenuation mechanisms for
initially increase with depth.
to stream suspended and bed sediment pesticide decay rates
would also depend on the primary attenuation mechanisms of a
pesticide and the relative occurrence of these mechanisms in
88
-------
each environment. Thus, defining a specific change in decay
rates with soil layers, or between soil and stream sediments,
would be highly compound specific. To maintain the simplicity
of using the methodology, to minimize the required simulation
runs, and lacking any evidence of a general/ well-accepted
relationship, the ks value was used to define all six
soil/sediment decay rates (i.e. four soil layers, suspended
sediment, bed sediment). The three ks values of 0.1, 0.01,
and 0.001 per day, with associated half lives of 6.9, 69., and
693. days, were selected for the sensitivity analysis to cover
the range of decay rates demonstrated by most agricultural
pesticides.
The pesticide solution decay rate, kw, is the final
methodology parameter representing the net effect of all
instream attenuation mechanisms on the solution phase.
Although HSPF allows the simulation of the individual stream
decay processes of hydrolysis, oxidation, photolysis,
TABLE 4.16 CALCULATION OF PARTITION COEFFICIENTS (Kd) FROM Koc
and % OC FOR THE MISSISSIPPI DELTA REGION
Soil
%OC/100.
Surface Layer .015
Upper Layer .015
Lower Layer .0075
Ground-water .00075
Layer.
5j0
.75
.75
.375
.0375
Koc
500 1500
5000
7. 5
7.5
3.75
.375
22.5
22.5
11.25
1.125
75.
75.
37.5
3.75
Stream
(Suspended and
Bed Sediment)
Sand
Silt
Clay
.005
.020
.020
.25
1.0
1.0
2.5
10.0
10.0
7.5
30.0
30.0
25.
100.
100.
89
-------
TABLE 4.17 CALCULATION OF PARTITION COEFFICIENTS (Kd) FROM Koc
and % OC FOR THE EASTERN CORNBELT REGION
Soil
%OC/100
Surface Layer .02
Upper Layer .02
Lower Layer .01
Ground-water .001
Layer
5_0
1.0
1.0
0. 5
.05
Koc
500 1500
10.0
10.0
5.0
0.5
30.0
30.0
15.0
1. 5
5000
100.
100.
50.
5.0
Stream
(Suspended and
Bed Sediment)
Sand
Silt
Clay
.005
.025
.025
.25
1.25
1.25
2.
12.
12.
5
5
5
7. 5
37.5
37. 5
25.
125.
125.
volatilization, and biodegradation, a lumped first-order
decay mechanism was used to provide a more generally
applicable approach. The importance of any specific
combination of processes would be highly compound specific,
and rate constants for individual processes may not be
generally available to the methodology user. As for the ks
values, the three kw values of 1.0, 0.5, and 0.05 per day were
selected to cover the primary range of decay rates of concern.
Also, the compound half lives associated with each rate - 0.7,
1.4, and 14 days.respectively - were designed with respect to
the mean flow-through times of two to four days on our
representative watersheds to span the range of non-persistent
to persistent chemicals experiencing solution decay. Thus, a
solution decay rate of 0.05, with a half life of 14 days,
would not undergo significant instream decay because the flow
time instream is so short. Slower solution decay rates would
produce concentration frequency curves similar to the curves
with the 0.05 kw rate.
90
-------
A. few remaining parameters in Table 4.14 are not directly
calculated from Koc, ks, or kw. Two soil adsorption
parameters, XFIX and Nl, are respectively the amount of
pesticide permanently adsorbed to the soil and the adsorption
exponent in the Freundlich equation used in HSPF. Values
other than 0.0 and 1.0 for XFIX and Nl, respectively, would
violate the assumption of reversible linear sorption, and
would be compound specific. Also, the linear relationship
between pesticide loading and concentrations, and pesticide
application rate would not exist for other values of XFIX and
Nl. In any case, there is little evidence to justify using
other values of these parameters, and Rao and Davidson (1980)
have shown that the use of a linear isotherm (i.e. Nl=1.0) is
quite reasonable for agricultural systems.
The temperature adjustment coefficient for the instream decay
rates (i.e. solution, suspended, bed) adjusts for stream
temperatures other than 20 degrees C. The value of 1.072
TABLE 4.18 CALCULATION OF PARTITION COEFFICIENTS (Kd) FROM Koc
AND % OC FOR THE WESTERN CORNBELT REGION
Soil
%OC/100.
Surface Layer .025
Upper Layer .025
Lower Layer .0125
Ground-water .00125
Layer
Koc
50 500 1500 5000
1.25 12.5 37.5 125.0
1.25 12.5 37.5 125.0
.625 6.25 18.75 62.5
.0625 .625 1.875 6.25
Stream
(Suspended and
Bed Sediment)
Sand
Silt
Clay
.01
.03
.06
0. 5
1. 5
3.0
5.0 15.0 50.0
15.0 45.0 150.0
30.0 90.0 300.0
91
-------
TABLE 4.19 CALCULATION OF PARTITION COEFFICIENTS (Kd) FROM Koc
AND % OC FOR THE CENTRAL PLAINS REGION
Soil %OC/100.
Surface Layer .02
Upper Layer .02
Lower Layer .01
Ground-water .001
Layer
5(3
1.0
1.0
0.5
.05
Koc
500 1500
10.0
10.0
5.0
0.5
30.0
30.0
15.0
1.5
5000
100.0
100.0
50.0
5.0
Stream
(Suspended and
Bed Sediment)
Sand
Silt
Clay
.005
.025
.025
0.
1.
1.
25
25
25
1
2.
2.
12.
5
5
5
3.
3
7.
7.
7.
5
5
5
25.
125.
125.
0
0
0
allows for a two-fold change in the decay rate for each 10
degree change in temperature. This value is the default value
in HSPF and has also been recommended for screening analyses
by Mills et al. (1982).
The final parameters in Table 4.14 not directly calculated
from Koc, ks or kw are the exchange (or transfer) rates
between the solution (dissolved) chemical and the suspended
and bed sediments. These rates are essentially first-order
mass transfer coefficients between the solution chemical mass.
and the mass of chemical sorbed to the suspended sediments and
the bed sediments in each reach of the channel system. As
such they represent a lumped parameter approach to very
complex and poorly understood processes involving the
integrated effects of sorption, turbulence, sediment
scour/deposition, and bed chemical diffusion/exchange. The
value of 36.0 per day for the solution/suspended exchange rate
92
-------
is based on HSPF application guidelines (Donigian et al.,
1984) and limited field experience for a small watershed in
Iowa (Donigian et al., 1983). The value is set to approximate
instantaneous equilibrium in each simulation time interval
between the dissolved chemical and the chemical sorbed to the
suspended sediments. The assumption of instantaneous
equilibrium is reasonable for this exchange process since it
occurs primarily during and immediately following storm events
when significant chemical and suspended sediment
concentrations exist in the stream channel. Also, turbulent
exchange and mixing processes are at their peak during these
periods.
However, the solution-bed exchange process is a much slower
mechanism and instantaneous equilibrium is not likely to
occur. The value of 0.03 per day for the bed exchange rate
was determined by calibration in the Iowa field study
mentioned above. Theoretical considerations suggest that this
value is near the maximum estimated rate based on our
understanding of the various chemical and physical exchange
processes it attempts to represent. Sensitivity analyses
where this rate was decreased from 0.03 to 0.00001 per day
(i.e. more than three orders of magnitude) show no significant
impact on solution or suspended chemical concentrations for
mean annual (Mulkey et al./ 1984) or peak daily values; bed
concentrations generally decreased, however, by one to two
orders of magnitude. Also, the value of 0.03 was used in
successfully simulating alachlor concentrations in the Iowa
River when compared to limited field data (Mulkey and
Donigian, 1984). Because of the complexity of the
bed-chemical exchange process, the lack of testing and field
data, and the lack of a defensible theory for adjusting the
exchange rate as a function of chemical properties, the field
calibrated value of 0.03 was used for all simulations in this
study. This value is most valid for the Western Cornbelt
region, and its extrapolation to other regions is largely
unknown. However, any uncertainty in this parameter will have
a significant impact only on the predicted bed chemical
concen trations resulting in a conservative (or high) estimate.
As a result, the bed chemical concentrations predicted by the
STREAM procedures should be used cautiously considering
potential errors of one to two orders of magnitude.
4.4.2 PesticideApplication Procedures and Assumptions
The timing and method of agricultural chemical applications
can have a determining impact on the extent of chemical runoff
and resulting stream concentrations. In fact, for relatively
non-persistent pesticides, various studies have shown that the
first few runoff-producing storm events following a field
93
-------
application consistently produce the greatest pesticide runoff
and concentrations (Johnson and Baker, 1982; Smith et al.,
1978? Ellis et al., 1977,- Baker, 1983). Consequently the
highest pesticide concentrations occur during the first two to
three months after application, and for most parts of the
country this occurs in the spring and early summer for
conventional spring-planted crops. In most agricultural
watersheds/ many different farmers will be applying chemicals
at different times and at different rates. Since it would not
be feasible to model each farmer's field individually in a
complex multi-land use watershed of 1000 sq. km, and since a
single simultaneous application by -all farmers would be
unrealistic (and possibly produce a worst-case scenario for
pesticide runoff from the first storm event), procedures and
assumptions for pesticide application were developed in order
to provide a realistic compromise between the two extreme
approaches described above.
The key assumptions used in this study for specifying
pesticide applications are as follows:
1. A unit application rate of 1.J?kg_/ha to all crops
2, 'A single surface application at or near planting time
3. Multiple farmer applications and timing approximated
ky three separate applications of 0.25, 0.50, and
0.25 kg/ha, respectively within a 10-15 day planting
"window"
4. No applications on the day of, or day after, a storm
event
A unit application rate of 1.0 kg/ha was used in all
simulations in order to provide the methodology user the
flexibility of estimating concentrations and loadings for airy
application. All concentrations and loadings are linear
functions of the application rate, as established in a
previous study (Dean et al., 1984a). Thus, for a 5.0 kg/ha
rate, the user simply multiplies the values from the frequency
curves in Appendices A through E by 5,0 to obtain the correct
concentrations and loadings.
A single surface application at or near planting time was
assumed for two reasons; (1) project resource limitations
precluded the evaluation of more than one application method,
and (2) surface applications will usually produce the highest
pesticide runoff and concentrations and thus provide a
conservative approach for screening purposes. Since the
application occurs at or near planting time, the methodology
is appropriate for pre-plant, planting, and pre-emergence
chemicals. Although these application procedures (i.e.,
94
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timing and method) are most common for herbicides, there are
no specific assumptions that limit the methodology to only
herbicidal compounds.
The procedures for selecting specific application dates are
based on pesticide modeling studies using HSPF on both a small
watershed (Donigian et al., 1983) and a large river basin in
Iowa (Imhoff et al., 1983; Mulkey and Donigian, 1984). The
single application of 1.0 kg/ha is actually represented by
three separate applications of 0.25, 0.50, and 0.25 kg/ha to
approximate the variable timing of chemical applications by
many individual farmers within a watershed. The three
applications represent an approximate normal distribution
about the "target" planting date, as defined by USDA.
Agricultural Handbook No. 283, "Usual Planting and Harvesting
Dates" (USDA, 1972) for each crop in each agricultural region.
The 0.50 kg/ha application was defined to occur on the
planting day, with the 0.25 kg/ha applications occuring about
five days before and after. The final choice of each
application date was made by analyzing this target window for
each year of the 10-year precipitation record and adjusting
the selected dates to preclude applications during, or the day
following, a significant storm event (i.e. greater than 1.0 to
2.0 cm). These adjustments reflect the assumptions that (1)
most farmers will not apply pesticides during a storm or if a
storm is predicted for that day, and (2) traction and/or
access to the field may be difficult or impossible on the day
after a major storm. No attempt was made to prevent an
application on the day before an event because many compounds
require moisture for efficacy, and farmers may not disrupt
their planned applications based on a future rainfall
forecast.
In summary, the assumptions regarding chemical application
rate, timing, and method were designed to be as realistic as
possible within the limitations of the .model and project
resources. Since HSPF can be used to represent a variety of
"application methods (e.g., foliar application, soil
incorporation) additional simulation runs with chemical-
specific parameters can be made for compounds for which the
above application assumptions are inappropriate.
4_»_4_._3_ Estimation of Initial Conditions for Persistent
Pesticides
For agricultural chemicals that are persistent in the
environment and thus demonstrate soil or sediment decay rates
(i.e., ks) of about 0.01 per day or less (i.e., half lives of
69 days or greater) annual applications will lead to a
build-up of chemical residues in the soil. The compound
95
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decays at such a slow rate that a significant amount is still
present in the soil at the time of application the following
year. If the farmer continues to apply the pesticides each
year, after many years the residue in the soil prior to each
application will vary about a steady-state value that depends
primarily on the chemical decay rate. The year-to-year
variations will depend on climatic conditions and the
resulting variation in pesticide runoff. After the pesticide
runoff enters the stream system, it interacts with the stream
bed through sorption onto bed sediments, scour and deposition
of sediments with adsorbed pesticide, and other exchange
processes. Similar to the soil system, persistent chemicals
will begin to accumulate in the bed sediments and, with annual
pesticide applications and runoff, bed concentrations will
increase and demonstrate a great deal of variation about a
mean steady-state value. The relative variation in bed
concentrations will be significantly larger than the variation
in soil residues because the bed concentrations depend on both
a variable annual loading from pesticide runoff and highly
variable flow rates affecting the bed exchange processes.
In order to represent pesticide runoff and stream
concentrations as a function of chemical characteristics, it
was necessary to estimate mean steady-state pesticide soil
residues and bed concentrations for the ks rates of 0.01 and
0.001 per day used in our methodology. These mean values were
then used as the initial conditions at the beginning of our
10-year simulation runs in order to provide a stable
representation of pesticide behavior without the distorting
impact of a 'build-up1 period. For a ks value of 0.1 per day,
this procedure was not necessary because the pesticide decays
to negligible values in both the soil and bed sediments prior
to the next annual application.
For the soil residues, the specific initial conditions
required are the mass of pesticide per unit area (i.e., kg/ha)
in each of the surface, upper, lower, and ground-water soil
layers on January'1, resulting from annual applications of 1.0
kg/ha at planting time. The following equation was used to
estimate the total steady-state residue in the soil prior to
each annual application:
-365ks
Pss = A (1-R)'
l-e-365ks (4.10)
where Pss = Steady-state pesticide residue, kg/ha
A = Annual application, kg/ha
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R = Annual pesticide runoff loss as fraction of
application
ks = Soil decay rate, per day
Since annual runoff losses are usually in the range of 1.0 to
5.0% of the application, an average of 2.5% was assumed for
initial estimates. In any case, the amount lost by runoff is
small compared to degradation and attenuation processes and
could be ignored without significant impact. The exponential
term in Equation 4.10 is the sum of a geometrical progression
with the annual variation defined by the first-order (i.e.,
exponential) decay (C.R.C., 1959). This approach has been
used in a number of studies and investigations to represent
the build-up of pesticide residues in soils (Hydrocomp, 1979?
Hamaker, 1966; Hill et al.., 1955).
The residue values calculated by Equation 4.10 were increased
to account for the decay occuring between planting and .January
1, by using the ks value and the appropriate time span for
each crop in each region. This was necessary because all
10-year simulation runs began in January while planting was
usually in April or May.
The distribution of the total pesticide residue among the
Various soil layers was initially defined by using the LEACH
Manual (Dean et al., 1984a) to estimate the % of application
reaching the lower and ground-water zones as a function of Koc
and ks. Remaining residues for the surface and upper zones
were estimated from past experience with the leaching
functions in HSPF. Both the total year-end residue and the
distribution among soil layers predicted by the model was
checked and compared with initial estimates to insure
consistency and a stable representation.
Unfortunately, for initial bed concentrations simple
analytical methods could not be found or developed that would
reliably predict mean steady-state concentrations of pesticide
on the sand, silt, and clay particles in the stream bed.
"These concentrations depend not only on the pesticide runoff
from each crop, but also the specific Koc and ks values, the
bed sediment composition, the organic carbon content of the
bed sediment size fractions, and the land area in each crop
which specifies the total pesticide load to the stream
channel. Consequently an iterative trial-and-error procedure
was adopted whereby the year-end values of both soil residues
and stream bed concentrations were compared with the initial
condition estimates and the simulation run was re-executed if
a significant difference existed. The key criterion for
determining whether or not a run would be re-executed was that
the initial conditions would need to be far enough outside the
range of year-end values so as to affect a measurable shift in
97
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the frequency curve developed from 10 years of daily loading
and concentration values. If there was no detectable shift in
the frequency curve, then the value determined by the user
from the curve would not be affected by the initial condition.
This criterion provided sufficient latitude so that only a
handful of 10-year model runs were re-done due to inaccurate
estimates of initial conditions. The year-end values of soil
residues and bed concentrations were tabulated and analyzed to
determine if there existed a significant increasing or
decreasing pattern over the 10-year simulation period or if
the initial conditions were sufficiently outside the range of
values to have an impact on the frequency curve. For example,
in one run, the initial bed concentrations were the peak
values observed for the entire period; consequently the run
was re-executed with initial conditions reset to the average
of the year-end values.
Figure 4.12 shows an example of the variation in soil residues
and bed concentrations for a Western Cornbelt run, as compared
to initial conditions. The year-to-year variation is
sufficient, especially for the bed concentrations, to show
that the initial conditions are reasonable and would not
impact the resulting frequency curves. In general, total mean
soil residues for a Tcs value of 0.01 per day were in the range
of 0.05 to 0.10 kg/ha for all sites, crops,, and Koc values,
and 1.0 to 2.0 kg/ha for a ks value of 0.001 per day. The
amount of residue in the surface zone showed a much greater
variation, but the impact of initial conditions for the
surface zone was generally restricted to the first few months
of the 10-year simulation period until the first annual
chemical application.
Bed concentrations demonstrated a much greater range of
variation in year-end values, up to an order-of-magnitude in
many instances. Thus, greater latitude was possible in
estimating initial values. The relative concentrations on
sand, silt, and clay are a direct function of the organic
carbon contents of each fraction (Table 4.7), further
simplifying the estimation procedures. After completing
simulation runs on the first two representative watersheds,
patterns in the variation of bed and soil residue values with
changes in Koc and ks were analyzed and used in estimating
initial conditions for subsequent watersheds.
4.5 SIMULATION RUNS AND PRODUCTION OF FREQUENCY CURVES
The final step in the development of the STREAM procedures was
the execution of the 10-year HSPF simulation runs for the 36
combinations of the key methodology parameters - Koc, ks, kw -
93
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n
ui
a
Ul
a
CO
Ul
a.
3.0-
2.0-
1.0-
SURFACE ZONE
INITIAL 69 70 71 72 73 74 76 76 77 78
CONDITION
10O-
in
z
O
p
rr
t-
z
HI
o
z
O
o
a
ui
m
ui
a
CO
ui
a
o
z
Ul
I
cc
10.-
Figure 4.12
CLAY
SILT
SAND
CLAY
SILT
SAND
INITIAL
CONDITION
60 70 71 72 73
74
76 76 77 78
Sample comparison of initial conditions with year-
end pesticide bed concentrations and soil residues
(Western Cornbelt, Koc=500, ks=0.001, kw=1.0).
99
-------
shown in Table 4.20, for each of the five representative
watersheds. Since it was necessary to simulate the results of
pesticide applications to each crop separately, this required
72 pesticide simulations for each region resulting in a total
of 3600 pesticide simulation years i.e., 72 simulations x 5
regions x 10 years. Using the capability of HSPF to simulate
three different chemicals, or parameter combinations, for each
separate hydrology/sediment/hydraulics run, resulted in 120
individual HSPF, 10-year simulation runs. The computer runs
were performed on the EPA National Computer Center IBM 3081
Computer, by remote job entry (RJE) from Anderson-Nichols1
offices in Palo Alto, California. Each individual run
required approximately 22 minutes of CPU time, and two to five
hours of elapsed time, depending on system loading.
The simulations were performed using a 2-hour time step, to be
consistent with the modeling of the application watersheds,
and produced a daijLy concentration time series by averaging
the 2-hour values during each day. Pesticide runoff was
calculated as the total daily amount in kg/ha for each day of
the 10-year simulation period. Thus, time series consisting
of about 3652 daily values were generated for pesticide runoff
and concentrations (i.e., solution and bed) from each
simulation run, and analyzed using the DURANL module of HSPF
to define the exceedance frequency, or percent of time
specific values v/ere exceeded, for durations of 1,2,4, and 30
days. These durations were chosen to correspond to the
standard 24-hour, 48-hour, 96-hour, and 30-day toxicity tests
normally performed to establish LC50 (i.e., concentration for
50% mortality) and MATC (i.e., maximum allowable toxicant
concentration) values for aquatic organisms. In addition to
frequency-duration statistics on the time series, DURANL also
provides the maximum and mean values. All frequency-duration
analyses were also executed on the EPA NCC computer with the
results returned to Palo Alto by remote job retrieval for
development of the curves. The resulting frequency curves in
Appendices A through E were prepared with a Hewlett-Packard
Model 150 Personal Computer with an attached HP 7074 graphics
plotter using the Picture Perfect Software package developed
by Computer Software Corporation of Dallas, Texas. Each
appendix includes 150 frequency-duration curves, comprised of
36 pesticide solution concentration curves, 36 pesticide bed
concentrations curves, and three pesticide loading curves
(includes a curve for each Koc value on one figure) for each
crop.
100
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TABLE 4.20 VALUES OF KEY METHODOLOGY PARAMETERS FOR
SENSITIVITY ANALYSIS
Koc ks kw
(ml/g) (per day) (per day)
50 0.1 1.0
500 0.01 0.5
1500 0.001 0.05
5000
101
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United States, Alaska, Hawaiian Islands, and Puerto Rico.
U.S. Weather Bureau, Technical Paper No. 25. Washington,
D.C.
U.S. Dept. of Commerce. 1979. Climatic Atlas of the U.S.
Environmental Sciences Administration Environmental Data
Service. Washington, D.C.
U.S. Dept. of Commerce. 1981. 1978 Census of Agriculture,
Summary and State Data - United States. Bureau of Census,
Washington, D.C.
U.S. Dept. of Commerce. 1982. 1978 Census of Agriculture,
Graphic Summary. Vol 5, Part 1. Bureau of Census,
Washington, D.C.
108
-------
U.S. Environmental Protection Agency. 1975. Control of
Water Pollution from Cropland: Volume 1, A Manual for
Guideline Development. EPA-600/2-75-026a. U.S. Environ-
mental Protection Agency, Athens, GA.
U.S. Environmental Protection Agency. 1982. Predictive
Exposure Assessment Workshop Summary: Level I and Level
II. Environmental Research Laboratory, Athens, GA.
U.S. Environmental Protection Agency. 1982. Testing for
the Field Applicability of Chemical Exposure Models.
Proc. Workshop on Field Applicability Testing. Exposure
Modeling Committee Report. U.S. EPA, Athens, GA.
U.S. Forest Service. 1977. Non-Point Water Quality of
Hydrologic Bench Marks - An Indicator of Water Quality in
the Natural Environment. Geological Survey Circular
460-E. U.S. Geological Survey, Reston, VA.
U.S. Geological Survey. 1981. WATSTORE: A WATer Data
STOrage and Retrieval System. U.S. Department of the
Interior, Washington, D.C.
Wauchope, R.D. 1978. The Pesticide Content of Surface Water
Draining from Agricultural Fields - A Review. J.
Environmental Quality, 7(4): pp.459-471.
Wauchope, R.D. and R.A. Leonard. 1980. Maximum Pesticide
Concentrations in Agricultural Runoff: A Semiempirical
Prediction Formula. J. Environmental Quality, 9(4): pp.
665-672.
Weed Science Society of America. 1983. Herbicide Handbook.
5th Edition. Weed Society of America, Champaign, IL.
Williams, G.P. 1978. Hydraulic Geometry of River Cross
Sections - Theory of Minimum Variance, U.S. Geological
Survey Professional Paper 11029, Washington, D.C.
Wolman, M.G. and L.B. Leopold. 1957. River Flood Plains:
Some Observations on Their Formation, U.S. Geological
Survey Professional Paper #282-C, Washington, D.C.
109
-------
-------
APPENDIX A
PESTICIDE CONCENTRATION AND RUNOFF FREQUENCY CURVES FOR THE
SOUTHEAST REGION
TABLE A.I FIGURE MATRIX FOR PESTICIDE SOLUTION CONCENTRATION
CURVES FOR CORN AND SOYBEANS IN THE SOUTHEAST
Regions SOUTHEAST
Crop: CORN
kw (per day)
Koc
(rol/gm)
50
500
1500
5000
Region:
Crop:
Koc
(ml/gm)
50
500
1500
5000
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
SOUTHEAST
SOYBEANS
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0,1
0.01
0.001
1.0
A.I
A. 4
A, 7
A. 10
A. 13
A. 16
A. 19
A. 22
A. 25
A. 28
A. 31
A. 34
1.0
A. 37
A, 40
A. 43
A, 46
A. 49
A. 52
A. 55
A. 58
A. 61
A. 64
A. 67
A. 70
A-l
0.5
A. 2
A. 5
A, 8
A. 11
A. 14
A. 17
A. 20
A. 23
A. 26
A. 29
A. 32
A. 35
kw (per day)
0.5
A. 38
A. 41
A. 44
A. 47
A. 50
A. 53
A. 56
A. 59
A. 62
A. 65
A. 68
A. 71
0.05
A, 3
A. 6
A. 9
A. 12
A. 15
A. 18
A. 21
A. 24
A. 27
A. 30
A. 33
A. 36
0.05
A. 39
A. 42
A. 45
A. 48
A. 51
A. 54
A. 57
A. 60
A. 63
A. 66
A. 69
A. 72
-------
TABLE A.2 FIGURE MATRIX FOR PESTICIDE BED CONCENTRATION
CURVES FOR CORN AND SOYBEANS IN THE SOUTHEAST
Region: SOUTHEAST
Crop: CORN
kv (per day)
Koc
(ml/gm)
50
500
1500
5000
Region:
Crop:
Koc
(ml/gm)
50
500
1500
5000
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
SOUTHEAST
SOYBEANS
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
1.0
A. 73
A. 76
A. 79
A. 82
A. 85
A. 88
A. 91
A. 94
A. 97
A. 100
A. 103
A. 106
1.0
A. 109
A. 112
A. 115
A. 118
A. 121
A. 124
A. 127
A. 130
A. 133
A. 136
A. 139
A. 142
0.5
A. 74
A. 77
A. 80
A. 83
A. 86
A. 89
A. 92
A. 95
A. 98
A. 101
A. 104
A. 107
kw (per day)
0.5
A. 110
A. 113
A. 116
A. 119
A. 122
A. 125
A. 128
A. 131
A. 134
A. 137
A. 140
A. 143
0.05
A. 75
A. 78
A. 81
A. 84
A. 87
A. 90
A. 93
A. 96
A. 99
A. 102
A. 105
A. 108
0.05
A. Ill
A. 114
A. 117
A. 120
A. 123
A. 126
A. 129
A. 132
A. 135
A. 138
A. 141
A. 144
A-2
-------
TABLE A.3 FIGURE MATRIX FOR PESTICIDE LOADING CURVES FOR THE
SOUTHEAST
Regions SOUTHEAST
ks (per day)
Crop 0.1 .01 .001
Corn A.145 A.146 A.147
Soybeans A.148 A.149 A. 150
A-3
-------
0.01
100. OOOi - ' - '
Q.
Q.
O
•i-H
•P
O
L.
•P
C
0)
o
c
o
o
c
o
> -i
1 .p
O
CO
0)
"O
•i-H
o
•rH
•P
0)
OJ
Q_
10. OOO.r
1.000-
0. 100-
0.010-
0.001
0.01
FIGURE A. 1
0.10
M[
1.00
10.00
100. 00
i 1 1—I—I I I I I 1 1 1—I—I III.:
Concentration, ppb
Max Daily = 176.9
Mean Daily = 0. 64
-i - 1 — i — i — i i i 1
1 - 1
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
50
-I 1 1—I—H-
100.00
ks:
0. 1
1.0
-------
0.01
100.000-^-
0, 10
1.00
10.00
100.00
J3
Q_
Q_
c
o
•r-H
-p
o
L
-p
c
OJ
o
c
o
LJ
C
O
•t-i
-P
D
i—i
O
CO
OJ
"O
•r-t
o
•1-1
-p
w
0)
Q_
10.000-
1.000-
0. 100-
0.
0.001
0.01
FIGURE
1 1—I—I—I—1~+-
Concentration, ppb
Max Daily = 176.9
Mean Daily = 0.77
Duration (days)
* 1 +4
o 2 x 30
i 1 1 1 •!•••<••
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Kocs
50
ks:
0. 1
100.00
kws
0.5
-------
0.01
100. 000^-
1.00
I
en
Q_
D_
c
o
•r-l
-P
O
L
-P
C
01
o
C
o
u
C
o
-^
.p
3
i-H
O
to
OJ
O
•r-l
-P
0)
01
. 000.:
l.OOO^r
0. 100-::
0. DID"
0.001
-1 1
0.01
FIGURE A. 3
10.00
I - 1 — I — [ I I 111 - .
Concentration, .ppb
Max Daily - 177.0
Mean Daily = 1. 11
i i i 1
Duration (days)
* 1 +4
o 2 x 30
100.00
1 - 1 — i — 1 — I I I I-
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
50
ks:
0. 1
100.00
kw:
0,05
-------
0.01
0. 10
>
-Q
CL
Q_
*.
C
O
O
L
C
OJ
o
C
o
o
C
o
*f""l
D
O
LO
OJ
"O
o
(I)
a;
Q_
L UUU. UU +
f
100.00;
10.00-:
1.00;
0. lQ-:
0.01-
••.T.... ..:T .-.-»,
0.01
-i— -i— -1—i -
1.00
-+. |.J +_ ,_
10.00
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 643.
Mean Daily = 2.96
H f H
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE A, 4
Region?
SOUTHEAST
Crop:
CORN
Kocs
50
kss
0.01
100.00
H.J- h4-
.
100. 00
kws
1.0
-------
0.01
1000. 00-i
JD
Q.
Q.
4-5
O
L
C
OJ
o
c
o
LJ
C
o
' 4->
oo 3
i—i
O
in
0)
TJ
o
OJ
CL-
100. OO.r
IO. 00±
l.OO.r
0. 10*
0.01
' - ' — '
0.10
i 1 1 1
1.00
t 1 1 [
10.00
100.00
i i i 1
Duration (days)
* 1 +4
o 2 x 30
ConcQntration. ppb
Max Daily = 643.
Moan Daily = 3.80
-H - 1 - 1 - 1 — I I I I
( - 1 - 1 - f — [ I I I
1 - 1 - H
0.01
FIGURE A. 5
0.10 1.00
Percgnt of TimQ ConcQntration
10.00
Region:
SOUTHEAST
Crop:
CORN
Koc:
50
ks:
0.01
100.00
kw:
0.5
-------
0.01
looo. oot—
_
Q.
Q_
.p
o
L
•P
C
O
C
0
o
C
o
> TH
I -p
l£> 3
I—t
0
(f)
0)
TJ
•rH
O
•rH
•P
(fl
0)
Q_
i
100. 00.r
10.00-
1.00-
0. 10-
0.01
0.10 1.00
-i - 1 - 1 - 1 — H-f-l-| - 1 - 1 -- 1 -- 1 — H— M-| -- 1
Concantration, ppb
Max Daily = 643.
Mean Daily = 6. 46
10.00 100.00
i - 1 — H— M-| --- ) - 1 - 1 - 1— H — I I I -I-
i
Duration (days)
* 1 +4
o 2 x 30
T
4-
H 1 1 1—I I I I
0.01
FIGURE A.6
0.10 1.00 10.00
Percent of Time Concentration Exceeded
1 1 1—i—i i i n
Region:
SOUTHEAST
Crops
CORN
Koc:
50
ks;
0.01
100.00
kw:
0.05
-------
0.01
1000. 00 "i
0.10
JD
CL
Q_
c
o
D
L
•P
C
OJ
o
c
o
CJ
100. OO^r
H
o
o
CO
0)
"D
•r-t
O
(0
Of
Q_
10.00-
LOO-
0.10-
0.01
10.00
1 — i — i i i i t
100.00
H 1 1 1 I I tj.
Duration
-------
0.01
1000. 00 i
0. 10
1.00
10.00
100.00
-Q
CL
Q_
c
o
•rH
-p
O
L
-p
c
c
o
CJ
• =
8 10.00-
H
O
CO
OJ
T3
•i-i
O
•r-l
0)
Q_
Duration (days)
* 1 * ' 4
o 2 x 30
Concentration, ppb
Max Daily = 752.
Mean Daily = 14.8
0. 10-r
0.01
0.01
FIGURE A.8
0.10 l.OC 10.00
Percent of Time Concentration Exceeded
100.00
Regions
SOUTHEAST
Crops
CORN
Kocs hss kws
50 0.001 0.5
-------
0.01 0.10 1.00 10.00 100.00
1000. 004 ' ' '—' ' ' ' ' I ' ' '—' I I I I I 1 1 1—1 I I I 1 I 1 1 1—I I III.:
JD
O_
O_
.p
D
L
P
C
01
o
c
o
CJ
c
o
o
CO
01
"U
•r-i
o
•i-H
Q_
100. OO.r
10.00-
l.OO.r
0. 10"
0.01
ConcGntration, ppb
Max Daily = 757.
Moan Daily = 27.8
Duration (days)
* 1 +4
o 2 x 30
-t—i—i—i i i 1
f 1 1—I I I IK
0.01
FIGURE A. 9
0.10 1.00 10.00
Pgrcent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
50
100. 00
ks: kw:
0.001 0.05
-------
0.01
100.000-^-
0. 10
1.00
10.00
100.00
_Q
O_
O_
o
o
L.
C
0)
o
c
o
u
c
o
•I-l
-P
D
i—i
O
en
cu
O
OJ
Q_
10. OQO.r
1.000-
0. 100"
0.010.:
0.001
-I 1 1—I—I I I I
H 1 1 1—I I I I
Concentration, ppb
Max Daily » 25.3
Mean Daily » 0.13
Duration (days)
* l +4
o 2 x 30
-I 1
0.01
FIGURE A.10
o.io i.oo 10. do
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crop;
CORN
Kocs
500
ks:
0. 1
100. 00
kws
1.0
-------
0.01
100. 000"i
JD
CL
CL
o
•l-t
p
o
L
•P
C
Q)
O
C
O
o
10.000-
0)
"U
•r-l
O
w
Q)
CL.
1.000-
0. 100-
0.010-
0.001
0.10
' — ' — '
1.00
..... I- ..... i ...... i ...... I
Concentration, ppb
Max Daily = 25. 3
Mean Daily = 0.16
10.00
ii 1 1 - 1
Duration (days)
* 1 +4
o 2 x 30
100.00
H 1 1 1—t !•••! I I ! 1 1 1—I I I I
< f—f—i—riii
n 1—i—i 11 t-
0.01
FIGURE A, 11
0.10 1.00 10.00
PercQnt of TimQ ConcQntration Exceeded
Regions
SOUTHEAST
Crops
CORN
Koc:
500
kss
0. 1
100. 00
kw:
0.5
-------
0.01
100. 000+—
.a
Q.
Q_
-p
o
L
-p
c
0)
o
c
o
O
CO
01
T3
•rH
O
•rH
-P
0)
OJ
CL
10. 000, r
1.000-
0. 100-
0.010-
0.001
0. 10
H 1 1 1—I I 1 I I
-4 1 f 1 I I I
1.00 10.00
1 1—I—I—I I I I I
100.00
i i i ii
ConcQntration. ppb
Max Daily = 25.3
Mean Daily = 0.23
Duration (days)
* 1 + 4
o 2 x 30
H 1 1 f—I \ t I
1 1 1—I I I I
0.01
FIGURE A. 12
0.10 1.00 10.00
PQrcent of TimQ ConcQntration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
500
ks:
0. 1
100.00
kw:
0.05
-------
0.01
0.10
1.00
10.00
JQ
D_
Q_
c 10.000'
o
0
L
c
01
o
c
0
u
c
o
0
LO
0)
TD
•r~<
U
•r-l
-P
W
OJ
Q_
1.000-
0. 100-
0.010"
0.001
1 1—I—I, J..( H-l
Concentration, ppb
Max Daily = 94,9
Mean Daily = 0.86
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A.13
0.10 1.00 10.00
PorcQnt of Time Concentration Exceeded
Reqion:
SOUTHEAST
Crop:
CORN
Koc:
500
ks;
0.01
100.00
'I I l-j."
100.00
kws
1.0
-------
0.01
100.000*
0. 10
_Q
o_
a.
c
o
• l-»
4->
O
L
+J
c
01
o
c
o
u
> .2
I 4_>
H D
-4 ,__,
o
Ql
"O
"«-«
O
"r-t
-P
(ft
OJ
Q_
10.000*
1.000*
0. lOO.r
0.010-
100.00
j 1 j—j—i t t i-4-
Duration (days)
1 * 1 +4
o 2 x 30
Concentration, ppb
Max Daily - 94.9
Mean Daily = 1. 12
0.001
0.01
FIGURE A. 14
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crops
CORN
Kocs
500
Ns:
0.01
100.00
kws
0.5
-------
0.01
100. 000 ^i
0.10
D-
D_
-p
o
L
-P
C
0)
o
c
o
CJ
> -2
H •§
00 ^
o
CO
0)
T)
O
•.H
-P
0)
Q_
10. OOO.r
1.000-
0. 100-
0.010-
0.001
100.00
I 1 I I ll
Duration (days)
* 1 +4
o 2 x 30
Concentration.
Max Daily = 94V9
Mean Daily = 1.86
0.01
FIGURE A. 15
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
500
ks:
0.01
100.00
kw:
0.05
-------
' 0.01
100. 000 i •
0. 10
1.00
10.00
100.00
M
vo
XI
Q_
Q_
.p
O
L
.p
C
01
o
c
0
LJ
C
o
•r-t
O
tn
0)
-o
•r-l
O
•r-l
.p
w
QJ
Q_
10. OOO.r
1.000-::
0. 100-r
0. 010-:
0.001
Concentration, ppb
Max Daily =1
Mean Daily = 2.
-+ 1—i—t—t—i i-
0.01
FIGURE A.16
Duration (days)
* 1 -»- 4
o 2 x 30
O.lO LOO 10.00
PorcQnt of Time Concentration Exceeded
Regions
SOUTHEAST
Crops
CORN
KOC:
500
ks:
0.001
100.00
kw:
1.0
-------
0.01
100. 000 +
JD
Q_
Q_
c 10.000
o
o
L
ro
o
o
c
o
LJ
c
o
o
CO
a;
"O
o
-P
w
a;
o_
1.000-
0. lOO.r
0.010-
0.001
0.01
Concentration, ppb
Max Daily = 120.
Mean Daily = 4.04
Duration (days)
* 1 + 4
o 2 x 30
H 1 1 1—I I I I
-i 1 f 1—I I l-f-
H 1 1 1—I 1 I I
H 1 H
0.10 1.00 10.00
Per'CQnt of lime Concentration ExcGodod
100.00
FIGURE A. 17
Region:
SOUTHEAST
Crop:
CORN
Koc:
500
ks: kw:
0.001 0.5
-------
100. 000 i < ' r . i i M
c
o
•1-1
-p
o
en
Qi
O
Q)
Q_
0. lOO.r
0. 010,r
0.001
Concentration, ppb
Max Daily = 121.
Mean Daily = 7.38
-< 1—i—i i i r i
Duration (days)
* 1 +4
o 2 x 30
H 1 1—I I I I I 1 1 1 1—I I I I-
0.01
FIGURE A,18
0. 10 1.00 10.00
PQrcent of TimQ ConcQntration Exceeded
Region:
SOUTHEAST
Crop:
CORN
KOC:
500
100.00
kw:
0.001 0.05
-------
to
K)
0.01
100. 000 -i
0.10
LOO
_D
Q.
Q_
cf 10.000
o
-P
o
L
-P
C
01
O
C
o
u
C
o
O
C/)
0)
"U
•I-I
o
•r-t
-P
w
0)
Q_
1.000-
0. 100"
0.010-
0.001
' — ' — i
Concentration, ppb
Max Daily - 8.69
Mean Daily = 0.05
10.00
1 1 1 1
100.00
i- ....... i-i- i
_j ,—,—!•-» 1 I
-t—I—h—f
Duration (days)
* i +4
o 2 x 30
0.01
FIGURE A. 19
0.10 LOO 10.00
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crops
CORN
Koc;
1500
ks:
0. 1
100.00
kws
1.0
-------
0.01
100. 000^ - <
D_
Q.
t£ 10.0004
o
•f-4
•P
O
L
O
c
o
o
c
o
1.000"
I
f°
CO
0. 100-::
o
to
OJ
"D
I 0.010 +
4J
Qi
Q.
0.001
0.10
1.00
10.00
100.00
' ' ' ' i-
_< 1 j—|—[ ( i ,[. 1 1 (—|—i | ii
ConcQntration, ppb
Max Daily = 8.69
Moan Daily = 0.06
Duration (days)
* 1 + 4
o 2 x 30
-I ! 1—I—H-4-
H 1 1—I—h-H-H 1 1 1 f—f—1-4
0.01
FIGURE A. 20
0.10 1.00 10.00
Porcont of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
1500
ks:
0. 1
100. 00
kw:
0.5
-------
0.01
100. 000 -i
Q_
Q_
-p
o
L
-p
c
0)
o
c
o
c
o
> ••-'
I -p
O
CD
OJ
•D
•r-l
O
•!-)
-P
w
OJ
Q_
10. 000.r
1.000-
0. 100-
0.010-
0.001
0.01
0.10
i 1 1 1
1.00
i i i 1 1 [
ConcQntration, ppb
Max Daily = 8.69
MQOH Daily = 0.09
-H 1 1 1—I I I I I 1 1 1 1 1 I I I
10. 00 100. 00
•t-j-H 1 1—i—i i i i il
Duration (days)
* 1 +4
o 2 x 30
H 1 1—I I 1 !•
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE A.21
Region:
SOUTHEAST
Crop: .
CORN
Koc:
1500
ks:
0. 1
100.00
kw:
0.05
-------
0.01
100. OOOi—
0. 10
1.00
10.00
ui
CL
CL
o
•I-l
o
L.
-P
C
O
C
O
U
C
o
•r->
o
Qi
o
•1-t
4-5
W
OJ
a.
10. 000.r
l.OOQ.r
0. 100-r
0.010-
0.001
Concentration, ppb
Max Daily = 32.8
Mean Daily = 0. 49
11
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A. 22
0.10 1.00
Percont of Time Concontration
10.00
Rggion:
SOUTHEAST
Crop:
CORN
Koc:
1500
ks:
0.01
100.00
( i -1 >.
11
100.00
kw:
1.0
-------
0.01
100. 000-i
CL
CL
c' 10.000
o
•rH
-P
O
L
>
to
CTl
c
01
o
c
o
u
^->
D
i—i
O
CO
0)
TJ
O
•rH
^->
OS
Q_
1.000-
0. lOO.r
0.010-
0.001
' - ' — ' — »
0.10
1 1 1
1.00
i i 1 1 1
10.00
i i 1 1 [
100.00
i i i 1 1.
ConcQntration. ppb
Max Daily = 32.8
Mean Daily = 0. 64
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1-
1—i—f r i
H 1 1 1 I I I !•
0.01
FIGURE A.23
0.10 1.00 10.00
PgrcQnt of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
1500
ks:
0.01
100.00
kw:
0.5
-------
0.01
100. 000 4 — = — «
>
I
J3
CL
CL
C
o
•«H
-P
O
L.
4-5
C
Of
o
C
o
o
C
o
o
tn
0)
T3
•r-l
O
•p
(1)
CL-
lO.QOQ.r
1.000.:
0. 100+
0.010-:r
0.001
0.10
I-H
1.00
IO. 00
100.00
i i 1
Concentration, ppb
Max Daily = 32.8
Mean Daily = 1. 00
1 — . — I - 1 — I ..... t ......... 1 t >-
Duration (days)
* 1 -1-4
o 2 x 30
0.01
FIGURE A. 24
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop;
CORN
Kocs
1500
kss
0. 01
100. 00
kws
0.05
-------
0.01
100. OOQi ••
J3
Q_
Q_
o
•iH
-P
O
L
-P
C
0)
o
c
o
o
c
o
o
to
OJ
TJ
•r-t
O
•rH
•P
w
OJ
Q-
lO.QOO.r
1.000-:
0.
0.010-::
0.001
Concentration, ppb
Max Daily - 59. 6
Mean Daily = 2.03
Duration (days)
* 1 +4
o 2 x 30
1 1 1—i—t i i
H 1 1 i—1| II-
0.01
FIGURE A. 25
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region;
SOUTHEAST
Crop:
CORN
Koes
1500
kss
0.001
100.00
kw:
1.0
-------
0.01
100. 000 -i
0. 10
LOO
10.00
100.00
>
<£>
_Q
Q_
Q_
o
•l-l
4J
o
L
c
OJ
o
c
o
o
c
o
O
tn
T3
•i-i
O
•r-l
-P
«
cu
Q_
10. 000"
1.000-
0. 100±
0.010"
0.001
Concentration, ppb
Max Daily - 59. 6
Mean Daily = 2. 78
-0.01
FIGURE A.26
Duration (days)
* 1 -4-4
o 2 x 30
o.io i.oo 10.00
PGrcQnt of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
1500
ks:
0.001
100.00
kws
0.5
-------
100.00
c
> 2
i •-?
w if
O J
I — I
O
to
01
T3
100. OOO^fc • ' t i i
8 i.ooo
c
o
u
0. 100-
£ 0.010-
-P
0)
0)
CL
0.001
ConcGntration, ppb
Max Daily = 59.6
Mean Daily = 4.80
Duration (days)
#1 +4
o 2 x 30
1 1—i—i—i i i i I 1 1 1—i t fii| 1 1 1—i i i it-
0.01
FIGURE A. 27
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
1500
100.00
ks: kw:
0. 001 0. 05
-------
0.01
100. 000*—
0. 10
1.00
10.00
100.00
CL
Q_
c 10.000
o
o
L
c
01
o
c
o
u
c
> o
I -iH
OJ -P
H D
i—i
O
en
cu
"O
o
•r-l
-P
W
Q_
l.OOO.r
0. 100-
0.010-
0.001
1 — I
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 3.07
Mean Daily = 0.02
1 i—I I I I
0.01
FIGURE A. 28
0.10 1.00 10.0'O
Percent of lime Concentration Exceeded
Region:
SOUTHEAST
Crop;
CORN
Kocs
5000
ks:
0. 1
100.00
kw;
1.0
-------
0.01 0.10 1.00 10.00 100.00
100. 0004 ' ' '—'—'I'll 1 1 1—I I I I I I 1 1 1—i—i i i i I 1 1 1—I—I I II.;-
u>
to
-d
D_
Q_
.p
o
L
-P
C
OJ
o
c
o
u
c
o
•r-l
.p
O
cn
OJ
T3
•r-l
O
•r-l
-P
W
OJ
Q_
10. OOO.r
1.000"
0. 100-
0.010-
0.001
ConcQntration. ppb
Max Daily = 3. 07
Mean Daily = 0.02
Duration (days)
* 1 +4
o 2 x 30
H 1 1—I I I I
H F f 1—I I I I
0.01
FIGURE A,29
0.10 1.00
PgrcQnt of lime ConcQntration
10.00
RQqion:
SOUTHEAST
Crops
CORN
Koc:
5000
ks:
0. 1
100.00
kw:
0.5
-------
U)
U)
100.
0.01
0. 10
_Q
Q_
Q_
c
o
• ft
-p
o
L
C
01
o
c
o
u
c.
o
•p
D
•—i
o
C/)
ffl
"D
•r~4
O
-P
CD
Q_
10. 000-r
1.000-
0. 100-
0.010-
0.001
LOO
1—1—I—If I 1 I
10.00
100.00
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 3.07
Mean Daily = 0.03
0.01
FIGURE A.30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region;
SOUTHEAST
Crop:
CORN
Hoc:
5000
ks:
0. 1
100.00
kw:
0.05
-------
100.
JD
Q.
Q.
£f 10.
0
•H
D
L
•P
C
0) 1
O !•
C
o
u
C
0
. \ _
0.
000 T
000;
000-
01 0.10 1.00 10.00 1C
i i iiiiiil i f t f r f i i 1 t i tiititl i i iiiii
Duration (days)
* 1 +4
^ o 2 x 30
i ~aF==^^5=^
^^^•^^
\\.
^o^-x^
^^O2^*^
^^^^^
^^:=^>«
: ^^?K.
^Qx.
^^N.
^^v
s
o
CO
0)
0)
Q_
0. 100-
0.010-
Concentration, ppb
Max Daily = 10.1
Mean Daily = 0. 24
r ^^ • •
1
4
0.001
0.01
FIGURE A. 31
1 1 1
-+-+-H
1.00
-+ 1—i—«•
0.10 1.00 10.00
Percent of Timo Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
5000
ks:
0.01
100.00
kw:
1.0
-------
0.01
100. 000*—
Ui
-O
Q_
Q_
c
o
o
L,
-P
C
CD
O
C
o
o
c
o
•f-l
-p
3
(V
T3
•1-1
O
•r^
-P
(A
OJ
. 000*
1.000-
0. 100-r
0.010-r
0.001
0. 10
1.00
-t 1 1 11 lit
Concentration, ppb
Max Daily - lu.3
Mean Daily - 0.30
10.00
i i i I
100.00
1 — i — i i i i i4
Duration (days)
#1 +4
o 2 x 30
I
-+-*-*+
-I (_
0.01
FIGURE A. 32
0.10 i.oo 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Kocs
5000
kss
0.01
_l—I III-
100. 00
kws
0.5
-------
0.01
100. OOOi i-
.0
Q_
Q_
10. OOO.r
-p
o
L
.p
g 1.000
c
o
u
u>
0. lOOi
O
cn
0)
T)
5 0.010
4J
0)
Q_
0.001
0. 10
1.00
10.00
100. 00
r n
Concentration, ppb
Max Daily =11.4
Mean Daily - 0.43
Duration (days)
* 1 +4
o 2 x 30
r r r r r
1 - 1 - 1 — i — i i i i
H 1 f-
0.01
FIGURE A033
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
5000
ks:
0.01
100. 00
kw:
0.05
-------
• 0.01
100.000*
0. 10
1.00
_D
O_
Q.
c
o
•I-t
-p
o
L
•P
c
OJ
o
c
o
LJ
O
If)
0)
10.000-::
CP
D_
1.000^
0. 100-t
£ 0.010-::
0.001
10.00
1 1 I II; 4--
100.00
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 12, 8
Mean Daily - 1.49
H 1 1 1—till-] 1 1 1 1—I 1 I I
1 1—I 111
0.01
FIGURE A, 34
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop;
CORN
Kocs
5000
100. 00
ks: Nws
0.001 1.0
-------
U)
00
0.01
100. OOO'i
0.10
1.00
10.00
100.00
JD
O_
O_
c
o
•r-i
-p
o
L
-P
CO
o
c
o
U
c
o
•r-1
.p
D
r—i
O
CO
0)
T)
•r-l
O
•r-l
•P
(I)
01
D_
10.000-
1.000-
0. lOO.r
0.010-
0.001
' — '
ConcQntration. ppb
Max Daily = 72.8
Mean Daily = 2.00
H - 1 - 1 - 1 I I I I |
1 - 1 - 1 - 1 — I
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A. 35
0.10 1.00 10.00
PQrcQnt of TimQ ConcQntration ExcQQdQd
1 1 I I I I
RQqion:
SOUTHEAST
Crop:
CORN
Koc:
5000
ks:
0.001
100.00
kw:
0.5
-------
0.01
100. 000 ~t
100.00
>
S
-Q
Q_
CL
o
0
L
+>
c
OJ
o
c
o
u
O
en
OJ
o
0)
Q_
i.doo-
1.00
1 - 1 — i — i i i i i
Duration (days)
* 1 + 4
o 2 x 30
0. 100-
0. 010"
0.001
0.01
Concentration, ppb
Max Daily - 72.8
Mean Daily = 3. 14
H - 1 - 1 — I — I I I I
1 - 1 - ) - 1 — I ..... Ill
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE A. 36
Regions
SOUTHEAST
Crops
CORN
5000
100.00
kss kws
0.001 0.05
-------
0.01
100. 000-
0. 10
_o
Q.
CL
i
c 10.000
o
-p
o
L
-P
C
0>
o
C
o
o
C
o
O
C/)
0>
~O
•r-4
O
•r-4
•P
0
cu
Q_
1.000-
o. 1004-
0.
0.001
10.00 100.00
1 1—I—I i-i-l-1 1 1 1—I—l-l-l-l-
0.01
FIGURE A. 37
Concentration, ppb
Max Daily ' = 1641.
Mean Daily = 2.18
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crops
SOYBEANS
Koc:
50
100. 00
. 0. 1
1.0
-------
0.01
100. 000 i
0.10
1.00
10.00
100.00
>
JL
X!
Q_
Q_
o
•r-l
•p
o
1_
-p
c
0)
a
c
o
o
c
o
O
en
0)
"D
•tH
O
.(HI
•P
(0
OJ
a.
10. 000-r
1.000-r
0. 100^:
0.010.
0.001
0.01
FIGURE A. 38
' i » i n
rl 1 1—I I I I-
Concentration, ppb
Max Daily « 1641.
Mgan Daily = 2. 41
Duration (days)
* 1 +4
o 2 x 30
1 1 1
0.10 1.00 10.00
Percent of Time ConcQntration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
50
ks:
0. 1
100. 00
kw:
0.5
-------
0.01
100. OOQ-i
JD
O_
Q_
D
L
-P
OJ
O
c
o
u
> .2
i -p
o
CO
0)
TJ
•r->
o
01
Q_
10. OOOrr
1.000-r
0. 100-
0.010"
0.001
' - ' — ' — '
0.10
1 1 [
1.00
Concentration, ppb
Max Daily ' = 1641.
Mean Daily = 3.08
10.00
i i i 1 1 1 - 1
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I I I I
0.01
FIGURE A.39
o.io
100.00
i i i i ii
1 1 1—I I I I
H 1 1—I-
i.oo 10.00
of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
50
ks:
0. 1
100.00
kw:
0.05
-------
0.01
1000. 00-4
0. 10
1.00
10.00
100.00
JD
Q_
Q_
o
L.
C
Q)
O
C
O
CJ
C
o
o
CO
QJ
TJ
•r-\
O
0)
a.
100. OO.r
10.00-
l.OO.r
0. 10-
0.01
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 2717
Mean Daily = 5. 65
0.01
FIGURE A. 40
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop;
SOYBEANS
Koc:
50
kss
0.01
100.00
kw:
1.0
-------
L
0.01
1000. 00 ~t
_Q
D_
D_
o
• l-l
-p
o
L
-P
C
OS
o
c.
Q
U
O
(f)
0)
"D
•rH
O
•rH
-P
w
OJ
Q_
100. 00-:r
10.004-
1.00"
0. 10-
0.01
0.10
1.00
10.00
' — '
Concentration, ppb
Max Daily = 2717
Moan Daily = 6.87
Duration (days)
* 1 +4
o 2 x 30
1 1 1—I I I
0.01
FIGURE A.41
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
KOC:
50
ks:
0.01
100.00
100.00
kw:
0.5
-------
0.01
1000.00^-
I
Ul
_Q
Q_
Q_
O
•1-1
-P
O
L
-P
C
Q)
O
C
O
LJ
C
o
O
LO
OJ
"O
'r-t
O
.,-*
-P
w
cu
Q.
100.00-
10. DOT
i.ooi
J
0. 104-
0.01
0.10 1.00 10.00 100.00
4—n- I I I -a; 1 1 1 1—I I I 1 j ( 1 i 1—H-J—»-f-| 1 1—-H 1—II I I I
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 2717
Mean Dai ly = 11.2
-I 1 ! i—I—I—(-+
0.01
FIGURE A.42
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crops
SOYBEANS
Koc:
50
ks:
0.01
-i-W| |-
100.00
kw:
0.05
-------
0.01 0.10 1.00 10.00 100.00
1000. 00 "i ' '—'—i i i i 11—jf 1 1—i—i—i i i 11 1 (—t—i—i--i i-1 I 1 1—i—i i i i ht-
>
I
J3
O_
Q-
o
•r-l
4J
D
L
±>
c
o>
o
c
o
u
0
in
Of
"O
•i-l
o
•r-(
•P
(0
0)
Q_
100.00-:
10.00-
1.00-
0. 10-
0.01
Concentration, ppb
Max Daily - 28/6
Mean Daily = 18.0
Duration (days)
* 1 +4
o 2 x 30
1 1 1 1—I I I Id
0.01
FIGURE A.43
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crop:
SOYBEANS
Koc:
50
ks:
0.001
100. 00
kws
1.0
-------
iooo.
0.01
.D
O_
CL
£ 100.00
o
o
L
c
OJ
o
c
0
u
c
o
D
i — i
O
LO
OJ
•D
•f-H
O
to
QJ
CL-
IO. 00 •::-
1.00-
0. 10-
0.01
0. 10
_(—t—i—i i 111
1.00
-t 1 1—t
10.00
-j 1—I—I t I 1 I 1-
100.00
i—I—I I I I I
Concentration, ppb
Max Daily = 2876
Mean Daily = 24.8
Duration (days)
* 1 + 4
o 2 x 30
H 1 1 1—I—I I I
0.01
FIGURE A. 44
0.10 1.00 10.00
PorcQnt of Time Concontration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
50
ks:
0.001
I
100. 00
kw:
0.5
-------
0.01 0.10 1.00 10.00 100.00
1000. 00"i ' '—'—t i ' <-H—X—i 1—i—i-i-i M'| i i—i—i—JHH-H 1 f—i—i—i-i 11,
I
£>.
CO
-Q
CL
Q_
-p
o
L
C
0)
O
c
o
u
c
o
Q
cn
01
13
•i-i
O
Q-
100. 00.r
10.00-
LOO"
0.
0.01
0.01
Concentration, ppb
Max Daily = 2876
Mean Daily = 46. 3
-i )—i
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE A. 45
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
50
ks:
0.001
100.00
kw:
0.05
-------
0.01
100. 000 i
0.10
1.00
10.00
100. 00
-Q
Q_
Q_
o
•r-4
4J
O
L
O
C
o
u
> q
O
t/)
OJ
TD
•tH
O
•<-t
4-5
W
cu
Q_
10.000"
1.000"
0. 100-r
0.010-::
0.001
< - ' — < — ' •« ..... ' ' »••
Concentration, ppb
Max Daily = 278.
Mean Daily = 0.42
H - 1 - 1 - 1 — I- ..... f-i ...... t .......
Duration (days)
* 1 +4
o 2 x 30
1 - 1 -- 1 - 1 — t .......... i 4-t
1 - 1 - 1 - i — I -t ...... I I
-- 1 - 1 - 1 — 1 ..... 1 I
0.01
FIGURE A, 46
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crop;
SOYBEANS
Koc:
500
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100. 000 "i
Q_
Q_
c* 10.000
.0
o
L
-p
c
01
o
c
o
u
c
> o
i •-;
m -fcj
o D
i—i
O
to
0)
TD
•rH
O
•I-<
4J
cn
cu
a.
1.000.:
0. lOChr
0.010-
0.001
0.10
1 - ' - ' - 1 ............ 1 ............ 1 ........ 1 I -1
10.00
I - i - 1 - 1 III ...... !•[
Concentration, ppb
Max Daily = 2/8.
Mean Daily = 0.47
-M-
Duration (days)
* 1 + '4
o 2 x 30
100.00
1 - 1 - 1 - I l..| .....
0.01
FIGURE A. 47
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
Regions
SOUTHEAST
Crops
SOYBEANS
Koc:
500
kss
0. 1
100.00
hws
0.5
-------
0.01
100. 0004
_Q
O_
Q_
•p
o
L
-p
c
0)
o
c
o
u
-
3
^
O
to
01
T)
•r-i
O
•r-i
•P
(/)
Q)
lO. OOO.r
1.000"
0. 100-
0.010-
0.001
0.10
' - ' - ' — * ......... ' '''I
10.00 100.00
1 - 1 - 1 — t- I I I I I - 1 - 1 - 1 — II II I-.
Concentration, ppb
Max Daily - 278.
Mean Daily ~ 0.60
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE L4Q
0.10 1.00 10.00
Percent of Time Concentration Exceeded
-i i—i I i I-
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
500
ks:
0. 1
100. 00
kws
0.05
-------
1000.
0.01 0.10
' - ' — ' — i i i 1 1 1 - 1
JD
O_
Q_
o
•r-l
D
L
C
0)
O
c
o
o
> .2
ui ~t?
10 ^
O
CO
0)
Tl
•rH
O
•rH
4->
o_
100. 00.r
10. OOrr
l.OO.r
0.
0.01
0.01
1.00
i — i — i i i 1 1 - 1 - 1
10.00
100.00
1 - 1
Concentration, ppb
Max Daily = 461.
Mean Dai ly = 1. 63
Duration (days)
* 1 +4
o 2 x 30
H 1 i 1—I—I I I
-»-(-| 1 1 1 1 1 I I I | 1 1 1 1 1 I I I
0.10 1.00 10.
1.00 10.00
of TimQ ConcQntration ExcQQdQd
H 1 1—I—I I Igj
FIGURE A.49
RQqion:
SOUTHEAST
Crop:
SOYBEANS
Koc:
500
ks:
0.01
100. 00
kw:
1.0
-------
0.01
1000.00-^-
I
ui
CO
JD
Q_
Q_
-p
o
L
-P
C
01
o
c
o
LJ
c
o
•rH
-P
D
i—i
O
CO
0)
O
•I-l
-P
0)
Q)
Q-
100. 00,r
10.00-
1.00-
0. 10-
0.01
0. 10
H 1 1 1—I 1 I I I
1.00
-i 1 1 1 1 I t t [
10.00
-f F 1 1—I I I I I
H 1-
100.00
H—I I I I
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 461.
Mean Daily = 2.02
H 1 1 1—I I I I I H
i—i—i i i i
0.01
FIGURE A.50
0.10 1.00
PercQnt of TimQ ConcQntration
10.00
RQqion:
SOUTHEAST
Crop:
SOYBEANS
Koc:
500
ks:
0.01
100.00
kw:
0.5
-------
0.01
1000. 00 -i
0.10
>
tn
*>.
o_
o_
o
•r-l
•4->
o
L
4->
c
as
o
c
o
o
c
o
o
w
as
T>
•r-l
O
•r-l
-P
0)
0)
Q_
100.00^
10. 00-:r
l.OO.r
0. 10"
0.01
' - ' — * — '••'
1.00
........... i ........ t ..... i
10.00
100.00
i i 1 1.
Concentration, ppb
Max Daily = 461.
Mean Daily = 3.22
,—i-..t- 1 1
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A. 51
o.io i.oo 10.00
Percent of Time Concentration Exceeded
Region;
SOUTHEAST
Crop:
SOYBEANS
KOC:
500
ks:
0.01
100. 00
kw:
0.05
-------
0. 01
1000.00+—
O.jl/0
LOO
I
U1
Ul
_Q
a.
Q_
C
O
•H
-P
O
L
4J
C
0)
o
C
o
LJ
C
o
•r-l
-P
3
r— I
O
"O
•r-l
O
-r-l
-p
w
OJ
Q_
100.00.:
10.00^:
1.00"
0. 10-
0.01
Concentration, ppb
Max Daily = 509.
Mean Daily = 5. 18
UQO 100.00
1 1—a—i—i t-i-ri
iDmation (days^
* 1 +4
a 2 x 30
-f 1 1 H-f
0.01
FIGURE A. 52
o.io i.oo 10.00
PercQnt of Time Concentration Exceeded
Regions
SOUTHEAST
Crop:
SOYBEANS
Koc:
500
kss
0.001
100.00
kw:
1.0
-------
0.01
1000. 00 4
.a
D.
D.
o
-p
c
0)
o
c
o
u
c
o
o
CO
01
T)
•.-i
O
w
0)
D_
100. 00.r
1.00"
0. lO.r
0.01
0.01
0.10
M|
1.00 10.00 100.00
-i—1 I t 1 1 ( 1 1—I—I—I I I I I 1 1—I—I—I I I I.
ConcQntration, ppb
Max Daily - 509.
Mean Daily = 7. 16
1 — i — i — i i i 1
1 - 1 — i — i — c r t t
Duration (days)
* 1 +4
o 2 x 30
o.io r. oo 10.00
Porcent of lime Concentration Exceeded
FIGURE A. 53
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
500
ks:
0.001
100. 00
kw:
0.5
-------
0.01
1000.00^-
-O
Q_
o_
c
o
•r-l
•p
o
c
0)
o
c
o
tJ
O
CO
OJ
-p
•r-l
o
•r-l
01
Q_
100. QQ-:r
10.00-r
1.00-
0. 10-
0.01
0. 10
_) 1-
1.00
-HH—
10.00
Concentration, ppb
Max Daily = 509.
Mean Daily =12.9
Duration (days)
* 1 +4
o 2 x 30
t 1
-\ 1—i—i—t >• i i
,—,—,
_, ,
0.01
FIGURE A,54
o.io i.oo 10.00
Percent of Time Concgntration Exceeded
Regions
SOUTHEAST
Crop;
SOYBEANS
KOC:
500
kss
0.001
100.00
I I I I
100.00
kws
0.05
-------
0.01
100. 0004 - '
J3
Q_
Q_
c 10.000'
o
o
L
>
i
yi
oo
c
a;
o
c
o
O
If)
0)
•o
.,_(
o
(fl
01
Q_
1.000-
0. 100-
0.010-
0.001
0.01
1.00
1 — i — i i i r 1 1
_, ,
Concentration, ppb
Max Daily = 97.7
Mean Daily = 0. 15
10.00 100.00
t 1—i—M i i I 1 1 1—i—i .-1-1-14-
Duration (days) |
* 1 * 4
o 2 x 30
-j 1—i—i—i i i i
1 - 1 - 1 - 1 — I ........ I I ....... I ......
0.10 1.00 10.00
Percent of lime Concentration Exceeded
1 - 1 - 1 — (— I-M-
FIGURE A. 55
Region;
SOUTHEAST
Crop:
SOYBEANS
Koc:
1500
kss
0. 1
100. 00
kwj
1.0
-------
0.01
100,000^-
0. 10
1.00
10.00
100.00
JD
CL
D_
C 10.000'
O
O
i,
-p
c
0)
o
c
o
LJ
c
> o
I -r-t
U1 jj
u> D
I—I
O
CO
0)
T!
•r-J
O
•i-i
w
01
CL
1.000-r
0. 100-r
0.0104
0.001
H 1 1 1—I t I I
t 1 1—I—) ,[ ( I
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 97.7
Mean Daily = 0. 17
-< 1 F 1—1 1 I
0.01
FIGURE A.56
0.10 1.00 10.00
PorcQnt of Time Concentration Exceeded
100. 00
Region:
SOUTHEAST
Crops
SOYBEANS
Koc: hs: ' kw:
1500 0.1 0.5
-------
0.01
100. 000+-
0. 10
1.00
10.00
100. 00
en
o
_Q
Q_
D_
c
o
• >-l
•p
o
L
4->
c
0)
o
c
0
LJ
C
0
-r-l
4^
3
f— H
O
en
TJ
•rH
O
•r-4
-P
(/)
OJ
Cl-
lO. 000"::-
l.OOO.r
0. 100"
0. 010T
0.001
,4- 1 1 I- Ml
,—[,„,,
1 1—I—f-t-4-
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 97. 7
Mean Daily = 0. 20
0.01
FIGURE A. 57
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
KOC:
1500
ks:
0. 1
100.00
kws
0.05
-------
0.01
1000. 00^-™
0.10
1.00
10.00
100.00
_Q
Q_
CL
o
•1-1
-p
D
L
-P
C
OJ
o
c
o
c
o
0)
"D
.,_!
O
•r-t
-P
0)
OJ
Q_
100. OO.r
10.00-
1.00-
0. 10-
0.01
H 1 f »—I I I I I i 1 1 1—I 1 I
_l 1 (—I—I I I I I 1 i 1—I—I i I I
Concentration, ppb
Max Daily = Io2.
Me>an Daily = 0.83
H 1 1 1—I II! i 1 1 1—f—l—f
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A.58
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crops
SOYBEANS
Koci
1500
ks:
0.01
100.00
kws
1.0
-------
0.01
1000. 00 "i
-Q
Q_
Q_
100.00-
c
o
•1-1
p
o
L
g 10.00
c
o
o
c
o
p
o
to
01
T)
•I-I
o
•I-I
-4-5
(/)
OJ
CL
1.00-
0. lO^r
0.01
0.01
0.10
' - ' — *
j - 1
1.00
i ..... i-i I
10.00
100.00
Concentration, ppb
Max Daily = 162.
Mean Daily = 1. 04
Duration (days)
* 1 + 74
o 2 x 30
H - 1 - 1 - 1 — II I I
1 - 1 - 1 - 1 — I I I I
1 - 1 - »
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE A»59
Region:
SOUTHEAST
Crop:
SOYBEANS
Hoc:
1500
ks;
0.01
100. 00
km
0.5
-------
0.01
1000. 00+—
JD
Q_
Q_
£ 100.00
o
D
L
c
0)
o
c
o
CJ
O
(/)
OJ
O
•r-t
-P
0)
0)
. OO.r
1.00"
0. 10"
0.01
0.10 1.00 10.00 100.00
_j 1—I—I II ) I i 1 1—1—I I I I I 1 1 1—1—I I 1 I I i 1 1—I—I i I I,'
Concentration, ppb
Max Daily = 162.
Mean Daily = 1. 58
Duration (days)
* 1 + 4
o 2 x 30
H 1 (.
0.01
FIGURE A, 60
0.10 1.00 10.00!
Percent of Time Concontration Exceeded;
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
1500
Nss
IQOlOO.
kw:
0.05
-------
0.01
1000.00*—
JD
O_
Q_
if 100.00
o
o
L
c
OJ
o
c
o
u
>
<*
•JS.
o
CO
01
T)
•l-H
O
10.00-
l.OO.r
0. 10,r
0. 10
1.00
10.00
-t 1—I I I I
H 1 1 1—I I I I
-I 1 1—I—III'
1—I—I—(--J-J.
Concentration, ppb
Max Dail = 185.
Duration (days)
* 1 +4
o 2 x 30
100.00
t
(/)
OJ
Q_
0.01-
0.
01
FIGURE A. 61
Mean Daily = 3.04
0. 10
Percent of
Region:
SOUTHEAST
1.00
Time Concentration
Crop:
SOYBEANS
10.00
Exceeded
Koc:
1500
T
T
T
100.00
ks: kw:
0.001 1.0
-------
0. 01
1000. 00^-
01
-
Q_
Q_
o
•r-l
-p
o
L
•p
c
01
o
c
o
LJ
D
^
O
OJ
"O'
•iH
o
,f~4
-p
(/)
Q)
Q_
100. OO.r
10.00-
1.00-
0. 10-
0.01
0.01
0. 10
Concentration, ppb
Max Daily = 185.
Mean Daily = 4. 22
1.00
x-
_( 1 (—I—I I I 1
-I 1 1—( 1 1 I 1 [——
1.00
-I—I—j_l_
10.00 100.00
• 1 1 1—i—III
Duration (days)
* 1 +4
o 2 x 30
T
—i—I—1—1-
0.10 1.00 10.00
PorcQnt of Time ConcQntration ExcQQdod
FIGURE A,62
Rogionj
SOUTHEAST
Crop:
SOYBEANS
Koc:
1500
0.001
•+-f-H+Jf
100.00
kws
0.5
-------
0.01
1000.00^-
JD
D_
Q_
o
•r-l
-P
O
L
-P
C
01
o
c
o
u
100. 00.r
a
CO
01
-a
•r-l
O
•r-l
-P
-------
0.01
100. 000-i
Q_
CL
C
O
•!-«
.p
D
-P
C
0)
O
O
O
C
O
Il-l
•P
D
11 — i
O
TJ
•i-i
a
•i-l
01
a.
10.000-r
l.OOO^r
0.010.:
0.001
10. 10
1 - ' — (—•> ..... ;I-:M-H
1.00
1 - f — i — t triij
1 - 1 — i — »
10,00 100.00
-t-*-H -i »—i—i i i i i-i
Concentration, ppb
Max Daily = 29.9
Mean Daily - 0.04
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A. 64
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crop:
SOYBEANS
Koc:
5000
ks:
!kw::
1.-0
-------
I
en
oo
ioo.
0.01
0.10
1.00
10.00
100.00
Q_
CL
c
o
o
L
-P
c
o
o
o
c
o
-P
D
01
T>
.,_,
O
•r-»
•P
W
(U
Q-
). OOO^r
1. 000"
0. 100-::
0.010"
I
0.001
f.. __| 4—t-H-M 1 I
Concentration. ppb
Max Daily = 2y.9
Mean Daily = 0.05
0.01
FIGURE A. 65
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
5000
ks:
0.1
100.00
kw:
0.5
-------
0.01
0.10
1.00
10.00
Q_
Q_
*
C
o
<^— 1
O
L
C
OJ
n
o
o
n
O
i
r— 1
O
(/)
OJ
~u
o
"en
OJ
a.
lUU. UUU;
• -
10. 000|-
t
*L
i.oooi-
T
T
+
t
1-
0. 100-jr
T
X
T
!
O.OlOir
!
^-
0.001-
0.01
--i—f-H
Concentration, ppb
Max Daily - 29.9
Mean Daily = 0.05
-*••+•{—
0.10
-H
Duration (days)
* 1 +4
o 2 x 30
.<—(_.|.+_+.,| ,
10.00 '
1.00
Percent of Time Concentration Exceeded
FIGURE A 66
ribUKt A. DO
Regions
SOUTHEAST
Crops
SOYBEANS
Kocs
5000
ks:
0.1
100.00
,t
±
I
4.
4-
i
I
4
f
t
100. 00
kws
0.05
-------
0.01 0.10
100. OOO'i - " — ' — ' i i i 1 1 1
Q_
Q_
r 10.000^:
o
D
L
4->
c
CM
o
c
o
1.000-
> .
0. 100"
o
t/)
-01
"O
•r-1
O
•r-1
•••P
(0
OJ
CL
0.010-
0.001
1.00
t i i 1 1 1
Concentration, ppb
Max Daily =49.91
Mean Daily = .37
10.00 100.00
_,—,—1 1 f I I ( ( 1—1—I I [ I-I
Duration -(clays)
* 1 -+4
o 2 x 30
_j 1 ( 1—|. | |t 1 1 4 1—I I I I 1 --4 1 II III 1 1 ! 1—1 I I I
0.-01
FIGURE A. 67
0.10 1.00 10.00
Percent of Time Concentration Exceeded
100. 00
Regions
SOUTHEAST
Crop;
SOYBEAN'S
KOC:
5000
0.01 1.0
-------
0.01
100. 000-i
0.10
>
J3
O_
O_
c
o
•r-t
-P
D
' L
C
Q)
O
C
O
CJ
c
o
•!-•
-p
o
c/1
QJ
• O
•1-1
-p
w
Q)
a.
10. OOO.r
1.000-
0. 100-
0.010-
0.001
1.00
i i 1 1 .1 —
10.00
-i—i—i—i i 111
100.00
_l 1—I—I I I
Concentration, ppb
Max Daily -49.91
Mean Daily = . 45
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A,68
0. 10 1.00 10.00
PQrcent of TimQ Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
5000
0.01
100. 00
kw:
0.5
-------
0.01
100. 000+—
0. 10
_Q
Q.
D_
C
O
o
L
•P
C
01
O
C
O
u
C
o
-J
to
O
CO
OJ
"O
•r-l
O
•l-t
-p
03
0)
Q_
10. OOO.r
1.000-
0. 100"
0.010-
0.001
1 — I — I .. 1
1.00
_j—I I I j.-t [
10.00
100.00
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily =49.91
Mean Daily = .83
i—i—i-
0.01
FIGURE A. 69
o.io i.oo 10.00
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crop:
SOYBEANS
Koc:
5000
ks:
0.01
100.00
kw;
.05
-------
t
-4
0.01
100. 0001
0. 10
1.00
10.00
_Q
O-
D_
c
o
o
. L
4J
c
01
o
• c
o
u
c
o
•t-l
o
tn
01
•o
-r-l
O
"r-l
-P
(/)
01
Q_
10.000^:
0. 100^
0.010i
0.001
Concentration, ppb
Max Daily = 70.6
Mean Daily = 2. 11
Duration (days)
* 1 +4
o 2 x 30
-H 1—+-
-n-H-
0.01
FIGURE A. 70
o.io i.oo 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
5000
ks:
0.001
100.00
ill
100.00
kw:
1.0
-------
0. 01
100. 000 i '
Q_
CL.
r" 10.000-
-p
o
c
0)
o
c
o
o
tn
Q)
"D
••-i
O
•i-i
-P
0)
OJ
Q_
0. 100^:
0. 010-
0. 001
Concentration, ppb
Max Daily = 70. 6
Mean Daily = 2.93
Duration (days)
* 1 -1-4
o 2 x 30
H 1 1 1-
0.01
FIGURE A.71
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region; .
SOUTHEAST
Crop:
SOYBEANS
Koc:
5000
ks:
0.001
100.00
kws
0.5
-------
0.01
100.000-*
0. 10
1.00
10.00
100.00
JD
Q_
CL
c
o
•r-l
a
L
o
c
o
u
c
o
i'2
Dl 3
QJ
TD
>i-i
O
•1-1
•P
w
QJ
a.
10. 000-r
1.000-r
0. 100-
0.010-
0.001
Concentration, ppb
Max Daily = 70.6
Nean Daily - 4. 77
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A.72
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Reion:
g
T
SOUTHEAST
Crop:
SOYBEANS
Koc:
5000
ks:
0.001
100. 00
kw:
0.05
-------
0.01
100. 000-i—
_Q
8: 10.000
*
c
0
>
S!
-p
D
L
-P
C
OJ
o
c
0
LJ
0}
~a
•i-H
O
•i-H
-P
(/)
OJ
a.
1.000-
0. 100-
0.010-
0.001
0.01
0.10 1.00 10.00 100.00
-i 1—I—I—I I I I I 1 1—1—I—I 1 I I I 1 1—I—I—I I I I I 1 1—I—I—I I I ll
Concentration, ppb
Max Daily = 8. 92
Mean Daily = 0. 22
H 1 H
1—i—i—i i i
Duration (days)
* 1 +4
o 2 x 30
-i—i—i—i i i i
0.10
1.00 10.00
of TirriQ ConcQntration ExcQQdQd
FIGURE A,73
Rgqion:
SOUTHEAST
Crop:
CORN
Koc:
50
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100.000^-
_a
OL 10.000
c
o
o
L
c
0)
o
c
o
LJ
~o
CD
01
T3
•t-4
(J
a>
Q_
1.000-
0. 100-
0.010-
0.001
0. 10
H -I 1 1—I 1 I I I —
1.00 10.00 100.00
i i i H 1 1—i—i- i i i H 1 1—i—i—i i i i-L
Concentration, ppb
Max Daily =11.6
Mgan Daily = 0.32
Duration (days)
* 1 +4
o 2 x 30
f - 1 — I I II
1 - 1 - 1 - i — t— »~t
0.01
FIGURE A, 74
0.10 LOO 10.00
PQrcont of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
50
f
H 1 1—t—(—M
0. 1
100.00
kw:
0.5
-------
0.01
100. 000 -i
.D
8: 10.000
c
o
>
I
-J
co
•p
o
L
•P
c
01
o
c
o
CJ.
T)
a)
m
01
T)
•iH
o
•iH
41
(I)
01
Q.
1.000-
0. 100-
0.010-
0.001
0.10
1.00
10.00
' - ' — ' — ' i i 1 1 1
Concgntration, ppb
Max Daily = 16.4
Mgan Daily = 0.54
100. 00
I I I I (-JT
Duration (days)
* 1 +4
o 2 x 30
i—i—i i i i
n 1 1—i—i i i
0.01
FIGURE A. 75
0. 10
1.00
of TimQ Concgntration
10.00
Rggion:
SOUTHEAST
Crop:
CORN
Koc:
50
ks:
0. 1
H—I I I !•
100.00
kw:
0.05
-------
0.01
100. 000 •£
.a
§: 10.0004-
c
o
O
L
•P
C
0)
O
C
O
CJ
0>
m
0)
"O
•d
o
0
CD
0_
l.OOOT
0. 100"
0.001
0.10
* - > — 'I i I I 1 [
Concentration, ppb
Max Daily = 41.8
Mean Daily - 3.50
1 - ( — I — I- I ' » 1 -- 1 - 1 - 1 — i i I I I --- 1 - 1 - 1 — t i i
f—I—H--M-
Duration (days)
* 1 * 4
o 2 x 30
0.01
FIGURE A. 76
,_,_,.i—
10.00
-i 1 H
0.10 1.00
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crops
CORN
Kocs
50
kss
0.01
100. 00
kws
1.0
-------
0.01
100.000^-
0. 10
.a
a! 10.000^
c
o
•r-l
-P
D
L
4->
C
01
O
C
O
CJ
? tJ
oo 0)
o CD
OJ
-o
•f-«
o
•1-1
-p
CO
01
CL
I
4
l.OOO
t
o. iooi
0.010
X
I
f
-4-
0.001
0.01
FIGURE
1.00
i i i i
-------
i
CO
0.01
100.000-^
J3
§: 10.000
c
o
0. 10
1.00
10.00
100.00
•p
o
L
•P
C
QJ
O
c
o
o
0)
OQ
01
T3
•r-t
O
•rH
-P
01
Q_
1.000"
0. 100-
0.010"
0.001
0.01
Concentration, ppb
Max Daily - 95. 2
Mean Daily = 11.1
-i—t—i
Duration (days)
* 1 4-4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE A.78
Regions
SOUTHEAST
Crop:
CORN
Koc:
50
ks:
0.01
100.00
kw:
0.05
-------
0.01
0.10
1.00
10.00
100.00
iuuu. utn
JD
& 100.00-:
ft
C
o ;
4-5
o
i 10.00-
QJ '•
O
C
O
u
1 TJ
S ,8 1.00-
KJ DO ;
0) ;
•rH
O
i 0. 10-
CU :
Q. ;
0.01-
0.
I — ' 1 1 1 — i — i— I- 1 'j"1 i 1 1 1 — i — i -i i | — • — — — — — t— — — j i 1 — i-~i--r-T"| 1 1 f 1 — f— i — t— f—
Duration (days)
* 1 +4
o 2 x 30
: a ..- i
**'
: ~ — - -^ ;
^^*
: 1
; 1
Concentration, ppb .
Max Daily = 75. 4 :
Mean Daily - 24. 4 '•
™""""" n "i:i:i ~nn jnlnniu i1'"" i — f — i — i — i— f— j : "":i ""• UUUU|"L— f" i f- — i — f — i — i i | '-"" -i:-:- -vj-'-'-ui' — ^ 1 1 — i — ^^ — -f i—i — j»«— — •— << < i — -i — •— t — - 4- - i- -*$™ \ i«|
01 0.10 1.00 10.00 100
i
i
i
r
.00
Percent of Time Concentration Exceeded
FIGURE A 79 Region: Crop: Koc: ks: kw:
SOUTHEAST CORN 50 0.001 1.0
-------
1000.
0.01
0.10
1.00
-
ct 100.00
n
o
o
-p 10.004-
QJ
o
C
o
o
S 1 i-00*
01
O
"1-1
-p
w
01
Q.
0. 10"
o.oi
_l - 1 - J__l — II I I
1 - 1 - f — ( — I I I I
10.00 100.00
-I 1—I—I I I I I 1 1 1—I—I I I I
Concentration, ppb
Max Daily = 111.
Mean Daily = 37.5
H 1 (-
Duration (days)
#1 1-4
o 2 x 30
0.01
FIGURE A, 80
0. 10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Kocs
50
0. 001
100.00
kw:
0.5
-------
1000.
0.01
_Q
§: 100.00'
c
o
•r-*
4J
o
L
4J
c
0)
o
c
o
u
> TJ
I OJ
« CD
o
•r-l
-P
0)
Q_
10.00-
1.00-
0. W-.r
0.01
0. 10
LOO
10.00
100.00
Concentration, ppb
Max Daily = 193.
Mean Daily = 78. 0
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A. 81
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crop;
CORN
KOCJ
50
ks:
0.001
100.00
kws
0.05
-------
0.01
100. OOQ+—
S: 10.000'
c
o
-p
o
L.
-P
c
01
o
c
o
o
oo 01
ui CD
OJ
"D
•.H
O
•«-(
-p
w
0)
Q_
1.000-
0. 100-r
0.010-:
0.001
0.01
0.10 1.00 10.00 100.00
_f 1 1 )—I I I I [ 1 1 1 1—I I I I I f 1 1 1—I I I I I 1 1 1 1—h~*—H
Concentration, ppb
Max Daily = 31.2
Mean Daily = 0. 63
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
PgrcQnt of Time Concentration Exceeded
FIGURE A.82
Region;
SOUTHEAST
Crop;
CORN
Kocs
500
ks:
0. 1
100. 00
hws
1.0
-------
0.01
100. 000-i
JD
CL 10.000
c
o
•l-t
-p
o
L
•P
C
01
o
c
o
I T)
oo Ql
en QQ
01
T)
O
-P
01
Q_
1.000-
0. 100-
O.OlO.r
0.001
0.10
1.00
' — '
Concentration, ppb
Max Daily = 37.6
Mean Daily = 0.86
10.00
i 1 1 1
100.00
i — i
Duration (days)
* 1 +4
o 2 x 30
-J 1 H
H 1
\ 1—1—1—I I I 1
0.01
FIGURE A.83
0.10 1.00 10.00
Percent of Time Concentration Exceeded
H—i—i—i i i i
Region:
SOUTHEAST
Crop:
CORN
Koc:
500
ks:
0. 1
100.00
kw:
0.5
-------
0.01
100. 0004
0.10
.£>
8: 10.000
o
O
L
4J
C
OJ
o
c
o
I "O
oo Q|
"-1 CD
01
TJ
•t-t
O
(0
01
CL
1.000-
0. lOO.r
0.010-
0.001
' — ' — '
ConcQntration. ppb
Max Daily = 46.6
Mean Daily = 1.32
1.00 10.00 100.00
_I_J_I 1 1 1—I—I I I I I 1 1 1—I—I I I I 1-
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A. 84
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crops
CORN
Kocs
500
kss
0. 1
100.00
kws
0.05
-------
0.01 0.10 1.00 10.00
100.00
JD
Q_
O_
n
o
•rH
0
L
C
0)
o
n
o
u
1 "D
00 QJ
oo m
QJ
•rH
O
D_
1UUU. UU ;
100.00;
10.00-:
1.00-
0. 10-
0.01-
;.- ' ' • ""i" • - ~-r •••' i • i — i • 'i "i i- \ • •• i — i r "i — i — I-T- i | ....... r ..,,,.,..! — i • i- r i | • - - -.-. .. (- ..|. . -. | .-. T -T— i — 114.
: ?
^ J
f «-T5 — -^_^ 1
• >^^::^::^3*--^_ :
! ^rr:::::::::x^. •
^ \^
***•» ^^^
»- ^55s%*
/Sk_
^5*
: ^v :
^V
v •
N-
\
r \
: i
Concentration, ppb Duration (days) f
: Max Daily =153. * 1 + 4 :
; Mean Daily = 11.2 o 2 x 30 •
— 1 1 1 1 — f — f" f^ — 1 ' •• '1 ' ' t f 1 t~~l t~i | t f 1 [••••(•• -| — ) — j j } { 1 — -j (— j ^ — f^
•
•
I
t
D
0.01 0. 10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE A. 85 Region: Crop: Koc: ks: kw:
SOUTHEAST CORN 500 0.01 1.0
-------
i
00
VO
1000.
0.01
T
JD
ot 100.00-
c
o
-p
o
4J
c
01
o
c
o
u
01
•r-l
o
-p
01
Q_
10.00-
0. 10-
0.01
0. 10
_4_l_j
1.00
10.00
I 1 1-
_| 1_
_j_4_
Concentration, ppb
Max Daily » 187.
Mean Daily - 16. 7
0.01
FIGURE A 86
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Kocs
500
ks:
0.01
100.00
0
100. 00
kw:
0.5
-------
0.
1000.00-:
CL 100.00-
1 i
-p
0
-p 10.00-
OJ :
t '•
o
<_>
i !§ i.oo-
o CD :
5 :
o
1 0. 10-
o_ :
.
0. OH
0.
01 0.10 1.00 10.00
: ^^~>S?f*fe»^
: ^^V
^v
^
Concentration, ppb Duration (days)
i Max Daily - 237. * 1 + 4
\ Mean Daily = 32.2 o 2 x 30
'
01 0.10 1.00 10.00
PQrcQnt of TimQ ConcQntration ExcQQded
FTR1IRF A 87 RQqion: Crop: Koc: ks:
ribUKt A. O/ SOUTHEAST COftN 500 0.01
100
.00
::
V '
^
1
i
t
11 I 1 l-d
1 11 tl
100
J
i
r
.00
kw:
0.05
-------
0.01
1000.00
0.10
JD
8:
c
o
•f-t
-P
o
L
n
01
o
c
o
o
I "O
VD Q|
^ DQ
Q)
T»
•rH
O
Q)
CL-
. OO.r
1.00-
0. 10-
0.01
Concentration, ppb
Max Daily = 2B9.
Mean Daily = 65.8
Duration (days)
* 1 +4
o 2 x 30
( i
1 - 1
1 - 1 -- 1 — i — i i i N
0.01
FIGURE A. 88
0.10 -1.00 10.00
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crops
CORN
Kocs
500
kss
0.001
100.00
kws
1.0
-------
0.01 0.10 1.00 10.00
1000. 00 -i '—'—*—' i i 111 1 1—i—i—i-t-t-H i—f—i—i--r-» 1-1 •!
c
o
O
L
-P
c
OJ
o
c
o
u
>
I T3
va QJ
10 CD
0)
TD
•1-1
(J
(fl
OJ
100. 00-:r
. 00. r
1.00"
0. 10-
0.01
100.00
i—i—i i i i ij.
Concentration, ppb
Max Daily = 338.
Mean Daily = 101.
Duration (days)
* 1 +4
o 2 x 30
i—i iii
0.01
FIGURE A. 89
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
Regions
SOUTHEAST
Crop:
CORN
Koc:
500
100.00
ks: kw;
0.001 0.5
-------
_Q
Q_
CL
A
O
•i-i
O
L
C
QJ
O
c
o
o
i TJ
ID QJ
u> CD
OJ
TJ
O
-P
(0
Of
0.01 0.10 1.00 10.00 100.00
1000.00-:
. . , , t , 1 , i i 1 I i ( 1 I illlfl! ! ! 11(111
F •;
T . - t
•f • ^^^^^^^a^^^ t
100. 00^ ^f
i i
10.00-:
ifr
t\
.
• •
• II
1
1 1
1.00+ f
0. 10-:
0.01-
i
: I
-
Concentration, ppb Duration (days) 1
: Max Daily » 519. * 1 +4 f
\ Mean Daily = 203. o 2 x 30 ::
ii i i f t i i i f i 1 i if iiiiiif f i 111111! i i ifitii^k
\ 1 1 1 1 1 1 1 J 1 t T^^ f— | | _. J ._ |. v:^ -.;==..;«. "J | ..|™,™,»J ^ J ^ | j 1 ^ .-^-L.:in..J=i.=c;^_ J J~ -J— .|W f
0.01 0.10 1.00 10.00 100.00
Percgnt of Time Concentration Exceeded
FIGURE A 90 Regions Crop: Rocs ks; kw:
SOUTHEAST CORN 500 0.001 0.05
-------
0.01
100. 000-i
c
o
•1-1
-p
o
L
C
0)
o
n
o
u
Qi
DQ
0)
T)
•1-1
O
•i-i
-P
w
0)
CL
10. OOO.r
1.000-::
0. 100"
0.010"
0.001
0.10
' - * — < — i i i 1 1 1
1.00
1 - 1 — i — i i i 1 1 1
10.00
100.00
i — i i i 1 1 1
Concentration, ppb
Max Daily = 48.9
Moan Daily = 0.81
H 1 1—I I I I [ J 1 1 1—I I I I |
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A,91
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc: ks:
1500 0. 1
i i i i-
100.00
kw:
1.0
-------
0.01
100. 0004
0.10
1.00
10.00
100.00
JD
at 10.000
c
o
-P
O
L
•P
C
m
a
c
o
u
u> CU
01 DQ
0)
•a
•r-t
O
w
CU
a.
1.000-
0. 100-
0.010-
0.001
' - * - ' — ' — ' ' ' I":
Concentrat i on.
Max Daily = 5?.'8
Mean Daily = 1.07
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A. 92
0.10 1.00 10.00
Percent of TimQ Concontration Exccodod
Region:
SOUTHEAST
Crop:
CORN
Koc:
1500
kss
0. 1
100. 00
kw:
0.5
-------
0.01
100. 000
0.10
LOO
f
I
8: 10. oooi
c
o
en
-p
o
L
-P
c
OJ
o
c
o
o
OQ
OJ
"D
•r-i
O
•I-H
•P
«
0)
Q_
1.000*
0. 100-r
4
0.
4
0.001
i i
10.00 100.00
1 — i — t— HHH-H - i - 1 — ( — i r i i-i-Jr
Concentration, ppb
Max Daily = 70.3
Mean Daily = 1.53
Duration (days)
* 1 -t-4
o 2 x 30
-i 1 ^
0.01
FIGURE A. 93
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop;
CORN
Hoc;
1500
ks;
0. 1
100. 00
kw:
0.05
-------
0.01
1000. OQ-i •-
_Q
§: 100.00
c
o
•r-t
•P
O
L
C
01
o
c
o
LJ
T3
0)
DO
01
O
W
01
CL
10. 00^
l.OO.r
0. 10"
0.01
0. 10
-»—II I I I I
-t 1 1—I—I III
Concentration, ppb
Max Daily = 244.
Moan Daily = 19.7
1.00 10.00
— 1 1 1—I—I ( I II
100.00
_f 1 1—I—I I I
Duration (days)
* 1 +4
o 2 x 30
-H 1 1 1—II II
H 1—I I" I I
0.01
FIGURE A. 94
0. 10 1.00 10.00'
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crops
CORN
Kocs
1500
kss
0.01
100.00
hw:
1.0
-------
S: 100.00
o
-p
o
I_
-p
c
OJ
o
c
o
u
QJ
CD
0)
T3
•rH
O
•rH
-P
W
OJ
Q_
1000. OOi '
10.00-
1.00-
0. 10-
0.01
ConcQntration, ppb
Max Daily = 291.
Moan Daily = 29. 1
H 1 1-
Duration (days)
* 1 +4
o 2 x 30
1 1 1—I I I I | 1 1 1 1—I I I l-j 1 1 1 1—I I I l[ f
0.01
0.10 1.00 10.00
PQrcQnt of TimQ ConcQntration ExcQQdQd
FIGURE A. 95
RQgion:
SOUTHEAST
Crop:
CORN
Koc:
1500
ks:
0.01
100.00
kw:
0.5
-------
0.01
1000. 00 -4
0.10
J3
c
o
•r-t
-P
O
L.
-P
C
Of
Q
C
Q
U
>
I TD
o
•ft
-p
w
01
CL
10Q.OO-:
10.00-
l.OO.r
0. lO.r
0.01
« - ' — '
1 J—I
1.00 10.00
-4-4-j 1 1—I—I—I I I I I
100.00
j (—j—I—I ) t l.l.
Concentration, ppb
Max Daily = 3BU.
Mean Daily » 52.6
_, ,—,—i ->-•
0.01
FIGURE A. 96
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crops
CORN
Kocs
1500
0.01
100. 00
Nws
0.05
-------
0.01
1000. OOi • *
-Q
ct 100.00-
c
o
0. 10
1.00
10.00
100.00
p
o
L
-p
c
0)
o
c
o
> (_)
I
H T)
o QJ
O QQ
0)
TD
•i-H
O
0)
a
D_
10.00-
1.00-
0. 10-
0.01
1 1 1 1—I Mil-
Concentration, ppb
Max Daily = 451.
Moan Daily = 128.
Duration (days)
* 1 +4
o 2 x 30
i i 1
0.01
FIGURE A. 97
0.10 1.00 10.00
Porcent of Time Concgntration Exceeded
Region:
SOUTHEAST
Crop:
CORN
KOC:
1500
ks:
0.001
100.00
kw:
1.0
-------
0.01
1000. OOi
JD
Ql 100.00
c
o
o
L
-P
c
OJ
o
c
o
> u
i-1 -o
o QJ
•-1 CD
OJ
-o
•r-l
O
OJ
CL
10. OO^r
1.00-
0. 10-
0.01
Concgntration, ppb
Max Daily = 563.
Mean Daily = 197.
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I I I I I 1 1 1 f—till 1 1 1 1—1—H-
0.01
FIGURE A, 98
o.io i.oo
PQrcQnt of TimQ ConcQntration
10.00 100.00
RQqion:
SOUTHEAST
Crop:
CORN
Koc: ks: kw:
1500 0.001 0.5
-------
o
hJ
JD
Q_
Q_
ft
O
•1-1
O
L
C
0)
O
C
O
U
0)
m
01
T)
O
-p
0
cu
CL
0.01 0.10 1.00 10.00 100.00
1000. OOi
100. 00-
10. OOi
1.00-
0. 10-:
0.01-
t * * * * i i i f * • * f i t t t « * * * f t 1 f I » * * i f * * f
! * -^ — * — =^i^_ _ II
• ^~^^*^»x.)
r t
: I
• I
T
, j
' m
'• ^
.
; 1 1
.
(1
«...
: ii
•
" '
.
Concentration, ppb Duration (days) ,
: Max Daily = 736. * 1 + 4 :;
] Mean Daily = 383. o 2 x 30 ::
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGLJRF A 99 Region: Crop: Koc: ks: kws
SOUTHEAST CORN 1500 0.001 0.05
-------
0.01
100. 000 "i
0.10
1.00
_Q
S: 10.000
c
o
c
01
o
dJ
m
0)
"O
•l-t
o
•p
(fl
0)
Q_
1.000.:
0. 100-r
0.010'
0.001
' - ' — ' — '
Concentration, ppb
Max Dai ly = 64. 5
Mean Daily = 0.92
10.00
> — i i 1 1
100.00
-H 1 H h
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A. 100
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
5000
ks:
0. 1
100.00
kw;
1.0
-------
0.01
100. 000 -i
1.00
10.00
100. 00
CL 10.000
c
o
o
L
C
01
o
c
o
> C_)
nL -O
o 01
*> m
"D
•r-l
o
•r-l
4->
0
0)
Q_
l.OOO.r
0. 100.r
0. OlO.r
0.001
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 74.1
Mean Daily = 1. 15
0.01
FIGURE A. 101
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Kocs
5000
hst
0. 1
100.00
kw:
0.5
-------
0.01
100. 0004
0. 10
8: 10.000
c
o
.p
a
L
c
ai
o
c
o
> u
l> Tl
o OJ
ui OQ
0)
"D
•1-4
O
CO
0)
Q_
1.000-
0. 100-
0.010-
0.001
' - > — ' i
1.00 10.00 100.00
II } I I 1 1 1 1 It M-j 1 -H 1 1- •! -I-I I-
Concentration, ppb
Max Daily = 85.9
Mean Daily = 1.50
Duration (days)
* I +4
o 2 x 30
i [
1 - 1 — ^ — i
0.01
FIGURE A. 102
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop;
CORN
Koc:
5000
hs:
0. 1
100.00
Nws
0.05
-------
1000.
0.01
JD
§: 100.00
c
o
•rH
•P
D
l_
-P
C
0)
o
c
o
u
H TJ
o OJ
(I)
0)
Q_
10.00-
0. lO.r
0.01
0.10
1.00
10.00
100. 00
ConcQntration. ppb
Max Daily = 326.
MQOH Daily = 33. 3
Duration (days)
* 1 +4
o 2 x 30
I!
-S 1 t t I
H 1 1 1—I I I H
0.01
FIGURE A. 103
0.10 1.00 10.00
PQrcQnt of TimQ Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
KOC:
5000
ks:
0.01
100. 00
kw:
1.0
-------
0. 01
1000. 00
_Q
CL 100.004-
c
o
O
-J
o
L
-p
c
01
o
c
o
u
QJ
CD
01
T3
••H
O
(0
01
a,
10.00-
1.00-r
0. 10-
0.01
0.01
0. 10
1.00
Concentration, jppb
Max Daily = 378.
Mean Daily - 46. 8
10.00 100.00
till 1 1 1 1—I—I-M-
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I «-(• )-
-I 1 1—I—I I I I
0.10 1.00 10.00
PQrcent of Time Concentration Exceeded
FIGURE A. 104
Region:
SOUTHEAST
Crops
CORN
Kocs
5000
0.01
(I
100. 00
kws
0.5
-------
0.01
1000. 004
O
CO
_Q
C
o
•r-t
4J
O
L
C
01
o
C
o
o
T>
OJ
CD
OJ
T)
O
•rH
-P
W
0)
Q_
100. 00-r
10.00-
1.004
0. 10-
0.01
0.10
1.00
10.00
100. 00
Concentration, ppb
Max Daily = 44/.
Mean Daily = 73. 3
Duration (days)
* i +4
o 2 x 30
-t 1 1 1—H
0.01
FIGURE A. 105
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
CORN
Koc:
5000
ks:
0.01
!'
m
ti
-+-*£•
100. 00
kw:
0.05
-------
0.01
1000. 00
JD
EL 100.00
c
o
0. 10
1.00
10.00
100.00
o
L
C
OJ
o
c
o
> o
1
I- ~O
O QJ
^° QQ
01
TJ
O
-P
Q!
Q_
10.00-j
1.00;
0. 10^
0.01-
1
4
f
1
i
t
i i
__
ii
>
::
- Concentration, ppb Duration (days) ^
: Max
; Mean
I I i
0.01
FIGURE A. 106
Daily « 811. * 1 + 4 f
Daily = 308. o 2 x 30 ::
*111i| I 1 !iIII!| 1 1 1 1 i 1 } r 1 ™i """ ~"i — f— i f |— j | y^
0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
Region: Crop: Koc: ks: kw:
SOUTHEAST CORN 5000 0.001 1.0
-------
0.01 0.10
1000. 00 -t '—' i i i 111
1.00
10.00
100. 00
CL 100.00
c
o
-p
o
L
-p
c
®
o
c
o
p CJ
I
M "O
^ G>
O flQ
01
O
•r-t
43
(ft
(V
Q_
10.00-
1.00-
0. lO.r
0.01
-I J—I—I (I
Concentration, ppb
Max Daily - 996.
Mean Daily = 463.
,—it i 11 j •+-
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A. 107
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
SOUTHEAST
Crops
CORN
Kocs
5000
—I—I I I
100. 00
kss kw:
0.001 0.5
-------
_o
D_
Q_
*
C
O
•r-4
a
Concentr
a
00
a>
o
w
a;
Q.
0.
10000.0-
1000.0;
100.0;
.
10.0;
0.1-
0.
01 0.10 1.00 10.00 100
I , , , -| , , j, | „„„!„,, | if} i i t t ii ill ' i 1 1 iiiiif i i1 t i i i i i 1
; ' ' ' ' ' I
: l
!
r t
1
r 1
: :
:
Concentration, ppb Duration (days) J
: Max Daily = 1431 * 1 +4 J
; Mean Daily « 813. • o 2 x 30 J
'
i t t i I 1 ! l 1 « • II t t t t I I 1 I i t f I i t i 1-- i E i .I. i i i id§
*" ' »..ir|i». 'J «-•-] ^ -1 I * I I J --niii-i | - JIN ...., ( - |ii iiiji -jj- j ii j ii i«nju.»m__ji |*iiiii .1111. niiii ij u | f |.«-^,".j^^_^-.^™, j. I,.H,.V.|.._ , f |,,,, .,.n| j j '"19
01 0.10 1.00 10.00 100,
Percent of Time Concentration Exceeded
FIGURE A 108 -Regions Crops Koc: hs: kw:
SOUTHEAST CORN 5000 0.001 0.0
-------
0.01
100. 000*—
>
I
(O
_Q
c
o
•r-f
•P
O
L
-f->
C
OJ
o
c
o
LJ
10. 000^;
o
•1-1
-p
w
OJ
Q_
1.000-
Qi 0. 100-
OJ
0.010"
0.001
0.01
0. 10
1.00
' i
_( (—(—(
Concentration, ppb
Max Daily = 17.9
Mean Daily = 0. 24
10.00 100.00
H !—j—1_-l-t-H —i 1 1 1—I—1-4-+-4-
Duration (days)
* 1 +4
o 2 x 30
H 1 1—I 1 I I
4-
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE A,109
Region:
SOUTHEAST
Crop:
SOYBEANS
KOC;
50
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100. 000 "i
0.10
1.00
10.00
100.00
-Q
§: 10.000
c
0
H
4-)
o
L
-p
C
0)
o
c
0
OJ
QQ
OJ
"D
•i-i
O
•r-l
4-5
(/)
0)
Q_
1.000-r
0. 100-
0.010-
0.001
Concentration, ppb
Max Daily = 26.9
Mean Daily = 0.37
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A,110
0.10 1.00 10.00
Percent of Time Concgntration Exceedgd
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
50
0. 1
100.00
kw:
0.5
-------
0.01 0.10 1.00 10.00 100.00
100. 000*4: ' ' '—I I I I I [ 1 1 1—I I i 1-1 I 1 1 1—i I I I I I 1 1 1—I I i I i-jr
JD
c
o
•1-1
-p
D
L
-P
C
01
o
c
o
o
10. OOO.r
1.000-
2 0. 100-
m
01
~o
••-I
o
•rH
-P
(/)
0)
Q_
0.
0.001
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 44. 5
Mean Daily = 0. 72
0.01
FIGURE A. Ill
o.io i.oo 10.00
of TimQ ConcQntration
Crop:
SOYBEANS
Region:
SOUTHEAST
100.00
Koc: ks: kw:
50 0. 1 0. 05
-------
H
01
_Q
Q_
Q.
C
O
•!-*
-P
O
L
-P
C
OJ
o
C
o
o
"O
01
CD
0>
o
-P
cu
Q_
0.01 . 0.10 1.00 10.00
1000.00-
.
100.00;
I 1 t ] J 1 1 ! ! 1 1 Illlfll 1 t t 1 I t I t- 1 1 11!
•
.
Duration (days)
* 1 +4
o 2 x 30
T ST"-— ^. ._
10.00;
1.00-
0. 10;
0.01-
\ ^""-— -^
^^-^^
^^-—^^^^
: *^::::5:::=^*
^^ftv^
^=^
^Xs,
^*5S
Concentration, ppb
: Max Daily = 39. 4
: Mean Daily = 4. 38
n i j l!l!!l] ! f J I 1 I I I [ • I "1 I ii-i 1 1 »| | J j ii ! in in '-i I i i 1 1 i
0.01 0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE A 112 Region: Crop: Koc: ks:
" ^ SOUTHEAST SOYBEANS 50 0.01
100.00
1 1 1 1.
1 • 1 —i1™11!*"" —
I
m ,
— m.
i
T
*f
i
T
1
* •
..
" *
* *
\
M
I
. ,
n
1
§5
100.00
kw:
1.0
-------
_Q
C_
O_
*
C
o
-p
D
-P
C
O
O
C
o
> u
,1 TD
P ,S
crs CO
OJ
O
r^-uj
to
OJ
CL
0.01 0.10 1.00 10.00 100.00
1000. 00 -J
I 1 I 1 1 ' 1 I ! ,| ., ,111.11.111. f i T f „ i. I .„.„! .). f J. .. .iii.iin. i,, III 1 1 I 1 I 1 1 ] ill mi J pirrfrmil 1 1 ll
t x
± i
100. 00 -.
lO.OOi
1.00-:
0. IQt
0.01-
Duration (days) i
* 1 +4 T
o 2 x 30
f $
~. T
• ~~~^ ~~~~~~~-*~-^ i
~""~^""~""~~— ^^^^^>~^
~~ "^-^^ir^^^---^^^
- ~^~^~~^<:::::::^5,alL --
I J>St^ I '.
^^*^6s«.
^fc^
^Xjv
V ••
N--
L V
: li
.
.
Concentration, ppb
i Max Daily = 53. 5 ::
: Mean Daily = Q, 99 ::
i t i fttif! c i t I f T f t 1 in } - I 1 I 3 1 1 ! It I i L t i ! ! d !l
~ —-•"-*— i ii- -.-j« j -- j - -| — { — j"" i "i — i •i" • — r— } j— 1|_ — ^- j. |^.|..j_ — '•*™~*i*ir~^ i ' — r i — f I I i ~ - t* • i r — ^~» j^—.j J — )-•• »
0.01 0.10 1.00 10.00 100.00
PercQnt of TimQ Concentration Exceeded
FTHllRF A 1 1 "3 Reqion: Crops KOCJ ks: kws
, luurm A. no SOUTHEAST SOYBEANS 50 0.01 0.5
-------
0. 01
1000.00-^-
-Q
B: 100. ooi
>
c
o
•1-1
-p
o
L
-P
c
cu
o
c
o
CJ
-4 m
Gi
T)
"rH
o
•1-1
OJ
Q_
i
10.00-::
1.00*
0. 10-
0.01
0. 10
1.00
-1 1 1—I II
H—i—f-4—1-|
Concentration, ppb
Max Daily » 117.
Mean Daily = 16. 2
10.00 - 100.00
-i-—I—I—I I I I ] ) 1—I—1—1 I I I j,
i
Duration (days) j
4 t
11 | -M 1 1 1 4—I
0.01
FIGURE A.114
o.io i.oo 10.00
of Time ConcQntration Exceedod
Region:
SOUTHEAST
Crops
SOYBEANS
Koc: kss
50 0. 01
100.00
kws
0.05
-------
0.01
100.0004-
0.10
_Q
c
o
o
L
C
OJ
o
c
o
CJ
oo CD
01
T)
•r-l
O
•r-l
•P
CO
0)
D_
10. 000.r
1.000-
0. lOO.r
0.010.:
0.001
Concentration, ppb
Max Daily » 93.3
Mean Daily = 38.3
t MI j
Duration (days)
* 1 +4
o 2 x 30
_, 1 !—i ),,.t,,|,,,
H 1-
0.01
FIGURE A.115
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region;
SOUTHEAST
Crop:
SOYBEANS
Koc:
50
ks:
0.001
100.00
kw:
1.0
-------
5^
I
_Q
0.01 0.10 1.00 10.00 100.00
1000.00^
i
O_
CL
at
c
o
*rH|
-P
o
L
4->
c
cu
o
c
o
o
"O
01
CD
01
T3
O
4J
(/)
/ii
Ul
Q_
100.00-:
10.00-:
1.00!
0. 10-
0.01-
: :
; ;
flp— - ^
• %<§"- 5?-§— — «»*.^_ -
• ^^***—iiii
*B-^i
•7&S™,
; ~~*
^
I
... i
f 1
: Concentration, ppb Duration (days) t
: Max Daily - 128. * J + _£ :
: Mean Daily = 59. 2 o 2 x 30 ;
1, i i ill, it [ i 1 .1 in ii Illlttl t 1 tltiiilll I 1 III! |m Id
'" ™ r i '•'•'•'•' - i 11** 'i i i—i — j— -,™,,W_^.™.,-1,...- n U 1 1 — | — | i i i '"t'""!""1"-" — i """ i ~i 1 t i -I i™|"— 1 — •— — f~— — H -j"- 1 | — r i'""t""r]|
_
i
i
f
r
r
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE A 116 Region: Crop: Koc: ks: kw:
SOUTHEAST SOYBEANS 50 0.001 0.5
-------
0.01 0.10 1.00 10.00 100.00
i
.£>
CL
Q_
C
0
•r-l
0
L
-P
C
OJ
o
C
o
> u
H -0
to OJ
o CD
a;
-a
o
-P
0)
HI
U/
a_
F
uuu. uu-
100. OCh
10.00-:
1.00.
0. 10-
-
0.01-
>— 1 1 i — I — I I I | 1 1 1 1 — I — i — r— 1~] 1 1 1 1- -i — i — i— t-j 1 1 1 1 — i — I— i — f
r * •-*-*• -^ f
- |
j
: I
i
r w
• -r
+
T
|
— •
Concentration, ppb Duration (days) u
: Max Daily = 291. * 1 + * '•'•
• Mean Daily = 127. ° 2 x 30 '•'•
,
0.01 0.10 1.00 10.00 100. C
Percent of Time Concentration Exceeded
I CURE A 117 Region: Crop: Koc: Ks: kw:
SOUTHEAST SOYBEANS 50 0.001 0.05
-------
0.01
100. 000 -t
0.10
-Q
i: 10.000
c
o
41
o
L
-p.
c
as
o
c
o
TJ
M
DO
W
~D
•rH
O
•l-l
01
Q_
1.000-
0. 100-::
0.010^:
0.001
0.01
ConcQntration,
Max Daily = 54.'7
Mean Daily = 0. 63
H 1 1 1—I (
1.00 10.00 100.00
_4-4-| 1 1 1 1—( 1 I ) I 1 .—I j j—I ) I I-
Duration (days)
* 1 +4
o 2 x 30
1 ! 1—I II I
_) 1—I—l,,l ,1 [.
0.10 1,00 10.00
Percent of Time Concentration Exceeded
FIGURE A. 118
Region:
SOUTHEAST
Crop:
SOYBEANS
KOC:
500
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100.000+-
0.10
1.00
10.00
100. 00
J3
S: 10.000
c
o
o
L.
C
0)
o
c
o
> LJ
^ -o
E m
0)
O
•r-l
OJ
Q_
1.000-
0. 100, r
0.010-
0.001
Concentration, ppb
Max Daily = 77.9
Mean Daily = 0. 92
Duration (days)
* 1 +4
o 2 x 30
4—*-i 1 1—II I I
0.01
FIGURE A, 119
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crops
SOYBEANS
Koc:
500
ks:
0. 1
100.00
kw:
0.5
-------
0.01
100. OOOi — • — < - '
-Q
c
o
o
L
4->
C
0)
o
c
o
CD
0)
TJ
•r-4
O
C/)
01
o.
10. OOO^r
1.000-
i
0. 100-
0. 010"
0.001
0.10
i 'I —
1.00 10.00 100.00
_} 1—I—I I I I I 1—'—I 1—I—I I I "I" I 1 1 1—I—I I "1 1-.
Concentration, ppb
Max Daily = 120.
Mean Daily = 1. 61
Duration (days)
* 1 +4
o 2 x 30
^—i i i ii
0.01
FIGURE A.120
0.10 1.00 10.00
PGrcent of Time Concentration Exceeded
Crop:
SOYBEANS
100. 00
Koc: ks: kws
500 0. 1 0.05
-------
I
M
1000.
C. 01
0. 10
_O
CL
0,
»
C
o
*rH
-P
o
L
-P
C
Qj
O
c
o
u
T>
OJ
03
Qi
-o
O
+J
w
Q)
CL
J
1
4-
t
100. 00T
T
4-
i
10. ool
t
1
1
i.ooi
1
0. 10;
0.01-
0.01
--I I- -+ H—H
1.00
- — I--I-I-I-I H-j
1 (.-,
10.00
I -I !-» f 1 1
100.00
Concentration, ppb
Max Daily = 126.
Mean Daily = 14. 4
Duration (days)
* 1 +4
o 2 x 30
FIGURE A. 121
— I—I — 1 [ 1 T T r
0.10
PgrcQnt of TimQ
Rgqion:
SOUTHEAST
. — ^ c i j ^ — r^ i r^
1.00
ConcQntration
Crop:
SOYBEANS
1 1 1 T"J — J
10.00
ExCQQCJQd
Koc:
500
— , ^ p™ -1-
Ks:
0.01
' •• r--T" i i «j
100.
kw:
1.0
-------
0.01 0.10 1.00 10.00 100.00
1000. 00^
n
Q- 100.00;
C
o
-p
0
L.
^ 10.00.
C ;
0)
o
c
o
> u
1
E 1 i.oo-
ui m :
0)
TJ
o
ffl 0. 10-
OJ :
Q_
0.01-
.
>^ ^^S»=__ "'-
^^^^^^^
I^RV
^^
\,
^s^
18fc
^s^_
: 3t '
^•r
i-
V
\
I
: i
Concentration, ppb Duration (days) ,
Max Daily = 183. ' * 1 + 4 :
Mean Daily = 22.5 o 2 x 30 :
I
I
r
;
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE A 122 Region: Crop: Koc: ks: kw:
SOUTHEAST SOYBEANS 500 0.01 0.5
-------
0.01
1000. 00*
_Q
Ql 100.00
c
o
0. 10
1.00
10.00
100. 00
4->
o
L
-p'
c
0),
o
c
o
> (->
± -D
to 0)
m CD
0)
T3
.^-l
O
,^™|
-P
(/)
0)
Q_
10.00-
LOO-
0. 10-
0.01
Duration (days)
* 1 +4
o 2 x 30
Concentration, ODD
Max Daily =3
Moan Daily = 47. 5
0.01
FIGURE A0 123
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
KOC:
500
ks:
0.01
100.00
kw:
0.05
-------
0.01 0.10
1000. 00-i » »—' i i i 11[—
JD
8: 100.00
c
o
-p
o
L
-P
C
0)
o
c
o
u
. Q0-:r
'
a LOO-
OJ
~O
•1-1
O
•r-t
-P
(/)
0)
CL-
0. 10"
0.01-
LOO 10.00 100.00
_( 1—,—(—I t .1 J. I 1 1—1—I I I I I I 1 1—I—I—1 I I 1 I
x~
Concentration, ppb
Max Daily = 268.
Mean Daily = 113.
1 1—i—i—i
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A, 124
o.io 1.00 10.00
PercQnt of Time Concentration Exceeded
RQqion:
SOUTHEAST
Crop:
SOYBEANS
KOC:
500
ks:
0.001
100.00
kw:
1.0
-------
0.01
1000.004—
JD
c
o
.,-t
.p
o
L
C
01
o
c
o
CJ
100.00.:
0)
TJ
•r-l
O
OJ
. 00^:
QJ 1.00-
0.
0.01
0.10
_i 1—f—i i--t-i 11—
1.00
_, ,—,—1 1 1 1 1 1
10.00
'—'—'
Concentration, ppb
Max Daily = 390.
Mean Daily = 174.
f 1 1—f
_, - , - ,
Duration (days)
* 1 * 4
o 2 x 30
100.00
-""*
1 - 1 — till
0.01
FIGURE A,125
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
KoC;
500
ks:
0. 001
100. 00
kw:
0. 5
-------
0.01
1000.00^-
0. 10
-D
8: 100.00
c
o
>
I
H
-p
o
L
-P
C
0)
o
c
o
CJ
a;
CD
01
T)
•iH
O
•^
-P
10.00.:-
1.00-
0. 10-
0.01
0.01
1.00
_,—,—I—I I I I I
10.00
_l—j—I I l-l I I
100.00
4 1—I—) I I I-'
Concentration, ppb
Max Daily = 788.
Moan Daily = 351.
Duration (days)
* 1 +4
o 2 x 30
(—J-+-H
0.10 1.00 10.00
PercQnt of Timo ConcQntration ExceodQd
FIGURE A, 126
Region:
SOUTHEAST
Crops
SOYBEANS
Koc:
500
kss
0.001
100.00
' kw;
0.05
-------
0.01
100. 000|—
-D
CL 10.000 +
c
o
o
L
•P
C.
OJ
o
c
o
GJ 0)
O OQ
0)
13
•,-H
O
0>
CL
t
1.000-
0. lOQi
0.010-
0.001
0.01
0.10 1.00 10.00 100.00
1—(—I I I I 1 I 1 i—I—t I--I I I I i f—I—I "I l-l-l-l 1 1—I—I—I-I l-'l-
Concentration, ppb
Max Daily = 54. 8
Mean Daily = 0.68
Duration (days)
* 1 +4
o 2 x 30
1—i—i—i
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE A. 127
Region:
SOUTHEAST
Crop:
SOYBEANS
KOC;
1500
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100. 000+-
0. 10
1.00
10.00
100.00
T
-D
8: 10.000+
•.
c.
o
4J
o
L
-P
c
0)
o
c
o
LJ
1.000-
0. 100-
QQ
OJ
TJ
O
•r-4
| 0.010 +
Q-
0.001
H f 1 1—I I I I f i 1 1—H-»—f-
-I 1 1—I—I—<—I-
H I ! 1—(•- I 'I I-
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 73.0
Mean Daily = 0.95
_l 1 1 1—1| | ( 1 | [ ( f .; .( [ | 1 1 1 1—| | | |
0.01
FIGURE A. 128
0.10 1.00 10.00
Percont of Time Concentration ExcQeded
Region:
SOUTHEAST
Crop:
SOYBEANS
Hoc:
1500
ks:
0. 1
100.00
kw:
0.5
-------
0.01 0.10 1.00 10.00 100.00
100. 000-i ' '—'—'—' ' i' I—j, (_—i—i—i—t i 11 [ 1 1—i—i—i i 111 1 1—i—i—i i 11.
10.000,:
JD
c
o
•l-l
-p
o
L
.p
c
0)
o
c
o
u
w oj 0. 100
to OD
0)
1.0004-
O
•I-I
-p
w
0)
Q_
0.010-
0.001
ConcQntration, ppb
Max Daily = 103.
Mean Daily = 1.49
Duration (days)
* 1 +4
o 2 x 30
-t 1—i—i—i i i i 1 1—t—i i i i i
4 1 1—1 I I I
H i 1 I I I
0.01
0.10 1.00 10.00
PQrcQnt of TimQ ConcQntration
FIGURE A.129
RQgion:
SOUTHEAST
Crop:
SOYBEANS
Koc:
1500
Ks:
0. 1
100.00
kw:
0.05
-------
0.01
1000.00-
-Q
§: 100.00
c
o
0. 10
10.00
100.00
w
w
a
L
4J
C
0)
o
c
o
OJ
OQ
01
"O
•1-1
o
•r-l
4J
W
OJ
a.
10. 00-r
1.00-
0. 10"
0.01
Concentration, ppb
Max Daily = 224.
Mean Daily - 26.0
Duration (days)
* 1 +4
o 2 x 30
t;
_( 1 i—I—I—111
1 1—I—1 1 M...
0.01
FIGURE A.130
0.10 1.00 10.00
Pgrccnt of lime Concentration ExcQodQd
-i 1 1 1—I—I I I ]||
Region:
SOUTHEAST
Crop:
SOYBEANS
KOC:
1500
ks:
0.01
100.00
kw:
1.0
-------
0.01
1000.00^-
B: 100.00'
c
o
*»
4-5
O
L
-P
C
CD
o
c
o
-D
01
CD
cu
-O
•r-i
O
•iH
-P
W
CD
Q_
10.00"
1.00-
0.
0.01
0.10 1.00
H-H 1 1 1 1"" I '"I l-l-l
_4 1 ( 1-
10.00 100.00
I I I I 1 1—I—I—I I I I'J.-
Concentration, ppb
Max Daily = 294.
Mean Daily = 39.4
Duration (days)
* I +4
o 2 x 30
i—i
0.01
FIGURE A. 131
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
1500
ks:
0.01
100. 00
kw:
0.5
-------
0.01
1000. OOi
0.10
1.00
10.00
100. 00
CL 100.00
c
o
-p
o
L
-P
C
OJ
o
C
o
s> o
^ 13
U) OJ
ui CD
0)
13
O
-P
OJ
a.
10.00-
1.00
0.
0.01
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 4/8.
Mean Daily = 74. 3
0.01
FIGURE A, 132
0.10 1.00 10.00
Porcgnt of Time ConcQntration Exceedod
100. 00
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
1500
ks:
0.01
0.05
-------
0.01
0.10
1.00
10.00
100. 00
J.UUU. UU •
jQ
n
o- 100.00-
c
o
•>-( *
-p
D
L
+> 10.00^
C i
0)
o
c
o
u
1 1-00-:
:
OJ
TJ
O
w 0. 10-
OJ ;
Q_
0.01-
7'""1"" • t "f • • • "i • • • i • • • r— i-"T'-r""| • "-———— y— .- — -| — — r - . | , , t , | MM-, , . . i ) t ,, , f t |n— -,.1 t i . .,,... t , „., ! t , ., i.
fa ,
" ' ~~*^=*==^
^^^"^^^
^•^
if
: 1
e
r 1
: I
; I
(
: i
Concentration, ppb Duration (days)
: Max Daily - 424. * 1 * 4 :
• Mgan Daily = 202. ° 2 x 30 :
rmiHI, „ ......... .._. _______ t -_JI_L---- jl ) 1,, ,,,,,| -vvvv1^l===|=v4±=|]=;-ni=v-— rjl-t;;---^--- f - ] |- - --,4,m,-.--.--.--l (™.»|mr.-J-. ,I;L===JJ==.. -_.=..=!.= -l^ _---| _ . [, ^...l.vvvvvvvVv;;;-!^ --.-.li-.lll-j=-. ::lt::::: :::::,:!::::::« -=f- j.fr-f-.- , 1 1 t , | j - |,_.,,j., |«l
i
!•
!
i
11
1
t
!f
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE A, 133 Region: Crop: Koc: ks: kw:
SOUTHEAST SOYBEANS 1500 0.001 1.0
-------
OJ
-J
n.
D-
a
c
0
-p
o
L
-P
C
QJ
O
C
o
o
-g
01
CD
01
T)
•rH
O
•pH
-P
0)
Q_
0.01 0.10 LOO 10.00
1000.00!
100.00!
10.00!
1.00!
0. 10!
0.01-
t l t t ' * ' ' ' ' * ' ' * ' ' 1 1 -1 -1 1 f 1 1 1 1 1 t -I IT
— 1 1 f, — j — .j — f__j — j_^ 1 •- • •>•!•-' — i r— i — i — t — t — | r — — 11 1 t — 1 — 1 — i J r r i r
• ft
; U «r— 5?==:=::*t==aa==*«*--
Concentration, ppb Duration (days)
: Max Daily = 594. * 1 + 4
• Mean Daily =311. o 2 x 30
i i i i i i i 1 1 i i i i i i i 1 1 i t t i i i i 1 1 i iii
i i i i i i i 1 1 i i i i j i i 1 1 i i i i i i i 1 1 i iii
0.01 0.10 1.00 10.00
PQPCQnt of TimQ ConcQntration ExceQdQd
FTGURF A 134 RQqion: Crop: Koc: ks:
SOUTHEAST SOYBEANS 1500 0.001
100.00
i till.
i i J l ±
J
t
!
t
I
i
?
?
!
i
t
t
I
f
. >
-•
r t
..
I
+
I
t
i i i i
100.00
kw:
0.5
-------
U)
CO
0.
10000. 0-
JD
Q- 1000. 0-:
* *
c
o
•r-l
o
-P 100.0-
OJ ;
o
c
o
<_)
~§ 10.0-
DO ;
OJ
~O
O
"^ 1 Q~
OJ :
CL
0. H
0.
01 0.10 1.00 10.00 100
: « ^— ==^==^^ ^^ :
/V.O — ••JjJfc^
^S»«*^fc •
: ^^
- i
. •
•
r i
^
Concontration. ppb Duration (days) -j
: Max Daily = 1090 * i +4 i
: Moan Daily = 597. o 2 x 30 '
01 0.10 1.00 • 10.00 100
.00
i
f
r
r
.00
Percent of Time Concentration Exceeded
FIGURE A 135 Region: Crop: Kocs ks: kw:
SOUTHEAST SOYBEANS 1500 0.001 0.05
-------
0.01
100.000i—
0. 10
J3
I
T
T
a- 10. oooir
1.00
-4 1—t--f-»"f-l-}
10.00
—I (.-.-.-,—I—^-^f-l
100.00
—H—Hi' 'I I-J-
6£T-¥
Bed Concentration,
o •— •
• *
*-* o
o o
o o
ai :
~° '.
o
•i-i
w 0.010-
01 •;
CL ;
0.001-
0.
1
01
Concentration, ppb
Max Daily - 39.6
Mean Daily - 0.59
H—
0. 10
Duration (days)
* 1 +4
o 2 x 30
10.00
Percent of Time Concentration Exceeded
FIGURE A. 136
Region:
SOUTHEAST
Crops
SOYBEANS
Kocs
5000
kss
0. 1
I
4-
T
100.00
kws
1.0
-------
0.01
100. OOQ+-
0. 10
JD
c
o
T
10.
_! ,.
1.00
-M-l
H f- f-
10.00 100.00
Duration (days)
* 1 +4
o 2 x 30
O
L
-p 1.000.
C :
01
o
8 t
> u f
S 1 o. 100-
o Q3 :
0)
T)
O
0) " :
Q. ;
n nm
_t_™™
0.01
FIGURE A. 137
Concentration, ppb
Max Daily = 49. 1
Mean Daily - 0.76
0.10 '
1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
Koes
5000
ks:
0. 1
100.00
kw:
0.5
-------
100.
0.01
-
8: 10. ooo.r
c
o
•p
o
L.
-P
C
G)
O
C
o
> CJ
I
l.OOOi
JJ 0. lOChr
OJ
O
OJ
Q_
0.010"
0.001
0.01
0. 10
~«H
1.00 10.00
-t — i i t r • i I - i - 1 — i — i — t- i i i 1
100.00
i — i i i i-l
Concentration, ppb
Max Daily = 62.9
Mean Daily = 1.04
Duration (days)
* 1 +4
o 2 x 30
1 - 1 — i — t
1 - f - f — f — r f t i-f
i—h I I 1-
0.10 1.00
Percent of Time Concentration Exceeded
FIGURE A. 138
Regions
SOUTHEAST
Crops
SOYBEANS
Kocs
5000
kss
0. 1
100.00
kws
0.05
-------
0.01
1000.00^
-Q
ol 100.00'
c
o
•1-1
-p
o
L
-p
c
0)
o
c
o
u
10.00-
I-1
to
0)
00
0)
•o
•r-l
o
•i-H
-p
w
QJ
Q_
1.00-
0. 10, r
0.01
0. 10
1.00
10.00
100.00
Concentration, ppb
Max Daily = 333.
Mean Daily = 46.0
Duration (days)
* 1 +4
o 2 x 30
(I
H 1 1 1—I I I I I 1 1 1 F—I I I I I f 1 1 1—I I I I I 1 1 1 1—I I I H
0.01
FIGURE A.139
0.10 1.00 10.00
of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
5000
ks:
0.01
100.00
kw:
1.0
-------
0.01
1000. 00 *
o.io
1.00
10.00
100.00
8: 100.00
c
o
•*-t
D
L
o
c
o
> LJ
I
,_, -TTJ
*>• 0)
w 00
OJ
T3
•1-1
O
OJ
Q_
10.00-
1.00-
0. 10-
0.01
Concentration, ppb
Max Daily = 418.
Mean Daily = 65.0
Duration (days)
* 1 +4
o 2 x 30
_| j 1 1—I |,-|.| ( ( J 1—1 | I c 1 1 1 1—I I I I I 1 •—I 1 1—II I l-f
0.01
FIGURE A.140
0.10 1.00 10.00
Percent of "lime Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
5000
ks:
0.01
100.00
kw:
0.5
-------
0.01
1000. OOi >-
_Q
CL 100.00
c
o
>
*»
*»
-p
o
L
-P
C
Q!
a
c.
Q
-D
0)
CD
01
T3
«r-<
O
•l-t
-P
«
0)
Q_
10.00-
1.00"
0.
0.01
0.10 1.00
-J-t-l 1 )—I—l—l-l-l-l-l—
10.00
H 1 i 1—I I I I I
100.00
4 1 1—1—I I I I.
Concentration, ppb
Max Daily = 592.
Mean Daily = 104.
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE A0 141
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
SOUTHEAST
Crop:
SOYBEANS
Koc:
5000
ks:
0.01
II
100.00
kw:
.05
-------
_Q
n
Q_
C
O
-P
O
L
C
OJ
O
C
O
3> t_J
1
H ~O
*» 01
Ui DO
CD
T)
O
•f~~i
(/)
0)
Q_
0.01 0.10 1.00 10.00 100.00
10000.0-
1000.0,
100.0-
10. 0.
1.0-
0. 1-
_.- .,,:.,===,,-_ 1 = ~.l...~=^___l J J 1 11 1 I j j 1 1 fit 1 - -rrrr,==== t I j j-r.-.-n-t-—--^-—...-!.-. 1 - 1 - - . .==Jmu. . „ j— . m. :: : ::::::!:: ..jmm_ , 1- - t L =4""_-j- . [—
'
.
I
JML|
: S^===^=r^*=^==^^ :
.
'•
k-
^^!^~^:^:====;=7|S:»»^,^ j"
• ^^Si-
t
r 1
-. 1
Concentration, ppb Duration (days) ^
Max Daily = 1117 * 1 + 4 =
Mean Daily = 510. ° 2 x 30 ;
i £ 1 I i j i i | I l J l I 1 J I ! I I j i 1 , ! ii * ' '' * * *g|
J
^
i
t
1
0.01 0.10 LOO 10.00 100.00
Percent of Time ConcQntration Exceeded
"IGURP A 142 Region: Crop: ' Kocs ks: kws
SOUTHEAST SOYBEANS 5000 0,001 1.0
-------
0.01 0.10 1.00 10.00
10000. 0-5
i
JD
Q_
CL 1000.0;
K "
c
o
•I— t
•p
D
L
•p 100.0.
C :
OJ
0
c
o
3=- CJ
1
H "D
*> cu IQ.O,
o\ 00 ;
cu ;
o
*f — t
1 J-°!
Q_ :
0. 1-
:
r .Vi in
© t*r— (*— ___-
~"^
ConcQntration, ppb Duration (days)
Max Daily = 1476 * I + *
Mean Daily = 760. ° l x du
" — — ~ — \~™ • — t ( \ 1 "H — ! — 1 — 1 — .-— — | j i — -'!'•'— -|—™f" — | — J— — — . — ' ,...j...*.. — •"•' • ' | J"" ^—--4, ,.....j,-..,...|....r-^-. » — : \ — " ' ~H 1 r
0.01 0.10 1.00 10.00
Percent of Time Concentration Exceeded
1- I CURE A 143 Region: Crop: Koc: ks:
SOUTHEAST SOYBEANS 5000 0.001
100
3
1
«t
— •JHl I
T
-------
0.01
0.10
1.00
10.00
100.00
JD
Q_
o_
c
0
•r-l
-P
0
L
-P
c
a;
o
c
o
> u
1
f— ' "D
-J CD
a;
•iH
0
•«-H
-P
w
a;
Q_
1UUUU. U-;
1000.0-
100. 0-
10.0-
1.0-
0. 1-
1 — i 1 — t — t — i — i — i — »— i 1 1 — i — i — i — i — i — r~i 1 1 — i — i — i — i — i — 1~-] ' 1 — i —
-I *=*%• ;-, M, 1M
x ° &A fl x— ^Hr-*— w*_^
^ •^'s&rft£i-~.
Concentration, ppb Duration (days)
: Max Daily = 2143 * 1 +4
; Mean Daily = 1323 o 2 x 30
t l l ( ( l l l 1 1 l t 1 1 1 l 1 1 1 1 l l 1 1 l 1 1 ll
0.01 0.10 1.00 10.00
Pgrcent of TimQ Concgntration Excoodocl
FIGURE A 144 RQgion: Crop: Koc: ks:
SOUTHEAST SOYBEANS 5000 0.001
— l 1 — i — i — r-;
1&">ifc^i.
*^
\
1
i
•i
H— (— I— 1-H
i
t
r
r
r
!r
100.00
kw;
0.05
-------
oo
0.01
1. 0000*—
0. 10
1.00
o
\ 0. 1000
m
JC
-a
o
o
X
> 8
Oi
0. 0100-:
TJ
•t-l
O
g 0.0010
0. 0001
10.00
I—t-H 4-1
100.00
Hoc: (ml/gm)
* 50 + 1500
o 500 x
Max Daily Load
(kg/ha)
50: 0.0290
500s 0.0220
1500s 0.0132
0.0073
0.01
FIGURE A. 145
0.10 1.00 10.00
Percent of TimQ Daily Load Exceeded
100.00
Regions
SOUTHEAST
Crops
CORN
kss
0. 1
-------
0.01
l.OOOOi H
0. 10
o
\
en
x.
o
o
0. 1000-Jr
0.0100"
> o
I O
M
*» 0)
VO -g
•rH
O
o. ooioi
0.0001
1.00 10.00 100.00
1—I—I—I I 1 I 1 1 1 1—1—I -I-1 I I 1" 1 1—I—I I I I
Koc: (ml/gm)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
50: 0.0558
500: 0.0664
1500: 0.0457
5000: 0.0285
Koc
Koc
Koc
Koc
0.01
FIGURE A. 146
0.10 1.00
PercQnt of TimQ Daily Load
RQqion:
SOUTHEAST
10.00
100. 00
Crop:
CORN
ks:
0.01
-------
0.01
l.OOOOi
o
JZ
\
01
TJ
O
O
0. 1000-
0.0100-
o
> n
H cu
g ,
o
§ 0.0010
Q_
0.0001
10. 00 100. 00
4 +—!—| | 1 | | 1 1 1 t_t_|-4.
Koc: (ml/am)
* 50 + 1500
o 500 x 5000
0664
0434
0573
0696
0.01
FIGURE A. 147
o.io i.oo 10.00
Percent of Time Daily Load Exceeded
Region:
SOUTHEAST
Crop:
CORN
100. 00
ks:
0.001
-------
0.01
1.0000-J—
o
.£
\
en
O
O
_J
0. 1000-r
0.0100"
> o
I Q
(-1
01
o
•r-i
a.
0. 0010-r
0.0001
-i 1 1
0. 10
•+-H—
1.00
_, 1—4-|| |||
10.00
_J—j—t—t-i i t-l
Kocs (ml/am)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50: 0.0044
Hoc 500s 0.0042
Koc 1500s 0.0042
Koc 5000: 0.0036
100. 00
0.01
FIGURE A.148
0.10 LOO 10.00
Percent of Time Daily Load Exceeded
100.00
Regions
SOUTHEAST
Crop:
SOYBEANS
ks:
0. 1
-------
0.01
1. OOOO^r™-
0,10
a
x
OT
o
a
0. 1000-r
'0.0100-
> o
i a
O
I o.ooio
a.
0. 0001
_) (—I—I—1 1 1 1
1.00
i i i-M-l
10.00
100. 00
1 - i — I — f
Kocs (ml/am)
* 50 + 1500
o 500 x 5000
Max Daily Load
Ckg/ha)
Hoc 50s 0.
Hoc 500s 0.0353
Koc 1500: 0.0353
Koc SOOQs 0.0277
— ^—^—i—i- t t t-
0.01
FIGURE A.149
0.10 1.00 10.00
Percent of Time Daily Load Exceeded
100. 00
Region:
SOUTHEAST
Crops
SOYBEANS
ks:
0.01
-------
0.01
1.0000-i-
0. 10
1.00
o
\
m
"O
o
o
0. 1000-
• 0.0100-
> o
I Q
CO
01
O
I o.ooio
Q.
0. 0001
100.00
4 1 1 j—j__j_f_4.
Koc: Cml/gm)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50: 0.0684
Koc 500: 0.0434
Koc 1500: 0.0726
Koc 5000: 0.0881
0.01
FIGURE A,150
0.10 1.00 10.00
Percent of Time Daily Load Exceeded
100. 00
Region:
SOUTHEAST
Crop:
SOYBEANS
ks:
0.001
-------
APPENDIX B
PESTICIDE'CONCENTRATION AND R0NOFF'FREQUENCY CORVES FOR THE
MISSISSIPPI -DELTA REGION
TABLE B.I FIGURE MATRIX FOR PESTICIDE SOLUTION CONCENTRATION
CURVES FOR COTTON AND SOYBEANS IN THE MISSISSIPPI
DELTA
Region:
Crops
Koc
(ml/gm)
50
500
1500
5000
Region:
Crop:
Koc
"(ml/gm)
50
500
1500
5000
MISSISSIPPI DELTA
COTTON
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
MISSISSIPPI DELTA
SOYBEANS
ks
(per day)
0,1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
1.0
B.I
B.4
B.7
B.10
B.13
B.16
B.19
B.22
B.25
B.28
B.31
B.34
1.0
B.37
B.40
B.43
B.46
B.49
B.52
B.55
B.58
B.61
B.64
B.67
B.70
kw (per day)
0.5
B.2
B.5
B.8
B.ll
B.14
B.17
B.20
B.23
B.26
B.29
B.32
B.35
kw (per day)
0.5
B.38
B.41
B.44
B.47
:B.50
B.53
B.56
B.59
B.62
B.65
B.68
B.71-
0.05
B.3
B.6
B.9
B.12
B.15
B.18
B.21
B.24
B.27
B.30
B.33
B.36
0.05
B.39
B.42
B.45
B.48
B.51
B.54
B.57
B.60
B.63
B.66
B.69
B.72
B-l
-------
TABLE B.2 FIGURE MATRIX FOR PESTICIDE BED CONCENTRATION
Region:
Crop:
Koc
(ml/gm)
50
500
1500
5000
Region:
Crop:
Koc
(ml/gm)
50
500
1500
5000
CURVES FOR COTTON
MISSISSIPPI DELTA
MISSISSIPPI DELTA
COTTON
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
MISSISSIPPI DELTA
SOYBEANS
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
AND SOYBEANS IN THE
1.0
B.73
B.76
B.79
B.82
B.85
B.88
B.91
B.94
B.97
B.100
B.103
B.106
1.0
B.109
B.112
B.115
B.118
B.121
B.124
B.127
B.130
B.133
B.136
B.139
B.142
kw (per day)
0.5
B.74
B.77
B.80
B.83
B.86
B.89
B.92
B.95
B.98
B.101
B.104
B.107
kw (per day)
0.5
B.110
B.113
B.116
B.119
B.122
B.125
B.128
B.131
B.134
B.137
B.140
B.143
0.05
B.75
B.78
B.81
B.84
B.87
B.90
B.93
B.96
B.99
B.102
B.105
B.108
0.05
B.lll
B.114
B.117
B.120
B.123
B.126
B.129
B.132
B.135
B.138
B.141
B.144
B-2
-------
TABLE B.3 FIGURE MATEIX FOR PESTICIDE LOADING CURVES FOR THE
MISSISSIPPI DELTA
Region: MISSISSIPPI DELTA
_k s (pe r day)
Crop 0.1 .01 .001
Cotton B.145 B.146 B.147
Soybeans B.148 B.149 B.150
B-3
-------
0.01
100. 000 i
Q_
Q_
£ 10. 000 -
o
o
L
4J
C
0)
o
c
o
o
c
w o
I TH
O
t/)
0)
"O
"f~4
O
OJ
Q_
1.000-
0. 100^:
0.010*
0.001
0.10
' - ' - ' — ' ""' ..... ' ..... '"' I
1.00
' - ' - ' - ' — ||IM' ......... I ....... I ....... I
10.00
1 - ' - 1 - 1 — t I'M-|
100.00
1 - 1 - ) - 1 — !••!• II-
Concentration, ppb
Max Daily = 37.7
Mean Daily = 0. 54
0.01
FIGURE B 1
Duration (days)
* 1 -f 4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region; Crop-.
MISSISSIPPI DELTA COTTON
Koc:
50
kS:
0. 1
100.00
Nw:
1.0
-------
0.01
100. 000~i
0.10
_Q
CL
CL
c 10.000'
o
•P
O
L
4J
C
01
o
c
o
o
a
I
<-"
C
O
•1-1
-P
D
r-l
O
CO
0)
T)
-l-H
O
w
01
Q_
1.000-r
0. 100-:r
0.010-
0.001
0.01
1.00
i i ii
10.00
1 - 1 — i — i — i i i 1 1
100.00
i t i !•!
Concentration, ppb
Max Daily = 48.8
Mean Daily = 0.75
_i 1_
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
PercQnt of Timo Concentration Exceeded
FIGURE 6,2
RQgion: Crop:
MISSISSIPPI DELTA COTTON
Koc:
50
kss
0. 1
100. 00
kw:
0.5
-------
0.01
100.000-^-
JD
CL
CL
10. 000
DO
i
CTi
D
L
4->
C
OJ
o
C
o
CJ
-P
D
i - 1
O
CO
01
O
•rH
-P
W
OJ
Q_
1.000-
0. lOOi-
0.
4-
0.001
0.01
0. 10
H 1 1—I I I I I
1.00
-»—I—I I I I I I
10.00
100. 00
1—I—I I I I
Concentration,
Max Daily = 70.'8
Mean Daily = 1. 14
H 1 1 1—I I I I
-i 1—i—i—i i i i
Duration (days)
* 1 +4
o 2 x 30
^—i—I i i i-
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE B,3
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
50
ks:
0. 1
100.00
kw:
0. 05-
-------
w
I
-J
0.01
100. 000 i
_D
Q_
Q_
c? 10.000 +
o
.p
o
L
0. 10
1.00
10.00
100.00
c
0)
o
c
o
o
c
o
O
in
OJ
TD
*i~i
O
•r-i
•P
(/)
01
Q_
1.000-
0. 100 +
0.010^
0.001
Concentration, ppb
Max Daily = 51. 2
Mean Dai iy = 2. 23
0.01
FIGURE B.4
0.10
Duration (days)
* 1 +4
o 2 x 30
1.00 10.00
of Time ConcQntration ExcQeded
100. 00
Roqion: Crop:
IISSISSIPPI DELTA COTTON
Kocs
50
ks:
0.01
1.0
-------
0.01
100. OOOf™
0. 10
1.00
10.00
ppb
Concentration
10.000-
oooi
0. 100 +
o
in
T)
OJ •
a.
0.010-
1
4-
-I l_
i-
-f- 1 (—I I i-H-
100.00
—I — I—fr-H-l I-J.-
Concentration, ppb
Max Daily = 66. 2
Moan Daily = 3. 21
Duration (days)
* 1 +4
o 2 x 30
0. 00H <--
0.01
FIGURE B0 5
0.10 1.00 10.00
Porcent of Time Concentration Exceeded
Region; Crop:
IISSISSIPPI DELTA COTTON
KOC:
50
ks:
0.01
100.00
kws
0.5
-------
0.01
100. 000-i
_o
Q.
O_
c 10.000
o
O
0. 10
1.00
10.00
100.00
c
CD
O
C
o
LJ
C
BJ O
I -r-l
kO -p
D
i—i
O
CO
OJ
TD
•r-l
O
•r-t
-P
(/)
OJ
a.
1.000"
0. lOO.r
0.010-
0.001
0.01
ConcQntration, ppb
Max Daily = 9o. 1
Mean Daily = 5.27
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
100.00
FIGURE B»6 Region: Crop;
MISSISSIPPI DELTA COTTON
Koc: ks: kw:
50 0.01 0.05
-------
jQ
D_
a.
»
o
Concentrati
M
* "*^
o
tn
a
ID
Pestici
0.
100. 000 ;
10.000.
;
1.000-
0. 100-
0.010-:
0.001-
0.
01 0.10 1.00
, 1 t f I f I 1 1 pnl mm ™ IIIIIP.II.I. nui i.l «<« I ! 1 1 . li i l<««i \ -- -I--- I
; o — *==»»«^___.
~ • . ^^_
Concentration, ppb
1 Max Daily - 65.7
: Mean Daily = 9. 17
ft 1 Ililll 1 II 1 1 j ! 1 1 1 1 J JU LJJI II I III II II l I
• i | l l t~" r "1 •"••I— '« - — ( t i ^ ! i |-'-| p" ~ji--ju t-B—ii jjK-_.im-j-i-™j
01 0.10 1.00
Percent of Time Concentrate
MISSISS?PPl" DELTA COTTON
10.00
— t- •*— I-
Duration (days)
* 1 +4
o 2 x 30
10.00
Kocs
50
I !
ks:
0.001
100.00
kw;
1.0
-------
0.01
100.000*
_Q
Q_
Q_
c
o
•r-t
-p
o
L
4-)
c
OJ
o
c
o
u
H
H1
o
«*H
-P
O
in
01
"O
,^-1
o
•t-l
-p
m
m
o_
10. 000 .r
1.000,:
0. 100-
0.010-
0.001
0.01
0. 10
1.00
10.00
100.00
Concentration, ppb
Max Daily = 86.5
Mean Daily = 13. 1
_i 1—1_
H 1 ( 1—(-III-
Duration (days)
* 1 +4
o 2 x 30
_i ,_
o.io 1.00 10.00
Percent of TimG Concentration Exceeded
FIGURE B,8
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
50
ks:
0.001
100.00
kw:
0.5
-------
0.01
0. 10
1.00 10.00 100.00
Cd
I
NJ
1UU. UUU ;
-Q
Q_
Q_
c 10.000.
O ;
•r-l
D
L
g 1. 000.
c
o :
u
c
o
• !_{
3 0. 100.
o :
CO
OJ
"D
£ 0.010.
4J -
OJ -
Q_
0.001-
0.
• ~* _ i
: ^^~~* — ^— *^ j
' ^"^
• 1
B
: j
' 1
Concgntration, ppb Duration (days)
[ Max Daily = 128. * 1 + 4 1
: Mean Daily = 22.0 o 2 . x 30 ;
01 0.10 1.00 10.00 100
u
i
t
tr
.00
Percent of Time Concentration Exceeded
^"IGURE B 9 Region: Crop: Koc: ks: kw:
MISSISSIPPI DELTA COTTON 50 0.001 0.05
-------
I
t_l
OJ
0.01
100.000-^-
0. 10
1.00
10.00
100.00
.D
D_
Q.
C
O
O
L
-P
C
0)
O
C
O
O
C
O
O
CO
OJ
"D
(ft
OJ
Cl-
lO.
l.QOQ^
0. 100-
0. 010"
0.001
1 I I I
( - 1 — I — I I 11
Concentration, ppb
Max Daily = 12.39
Mean Daily = 0. 17
0.01
FIGURE B. 10
j — i — II
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crops
MISSISSIPPI DELTA COTTON
Kocs
500
ks;
0.1
100. 00
kws
1.0
-------
0.01 0.10 1.00 10.00 100.00
100. 000 "i ' ' '—' I I I I 1 1 1 1—1 I I I I I 1 1 1—I I I 1 I I 1 1 1—I—+-H-+:r
w
I
•H
£>•
JD
Q_
Q_
o
•r-l
4>
o
-P
c
oj
o
c
o
u
c
o
•r-l
o
en
0)
T3
•i-H
o
•l-l
-p
(/)
Q)
Q_
10.000^:
1.000-
0. 100-r
0.010-r
0.001
0.01
ConcQntration, ppb
Max Daily = 14. 79
Mean Daily = 0. 23
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I—»—f
H 1 1—!• I I I-
0.10 1.00 10.00
PGrcQnt of Time Concentration Exceeded
FIGURE B. 11 Region: Crop: Koc:
MISSISSIPPI DELTA COTTON 500
ks:
0. 1
100.00
kw:
0.5
-------
0.01
100. 000+-
_Q
DL
Q_
cf 10.000
o
o
L
(Jl
0)
o
c
o
u
c
o
•t-4
+>
D
i—i
O
CO
0)
TJ
•r-i
O
•r-l
0)
Q)
Q.
1.000-
0. 100-
0.
0.001
0. 10
H f 1 1 (Mil
1.00
10.00
f - » - f — I I I I
H - 1 - 1 - 1 — I I I I
100.00
-i 1—I I I !•
Concentration, ppb
Max Daily = 19.53
Mean Daily = 0.35
1 1 1—I I I I |
Duration (days)
* 1 +4
o 2 x 30
1 F—1 I t 1 1
i 1 1 1—lilt
0.01
FIGURE B.12
0.10 1.00 10.00
PQrcQnt of Time Concentration Exceeded
H 1 1—I I I I
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
500
ks:
0. 1
100.00
kw:
.05
-------
0.01
100. 000^-
JD
Q_
Q_
c 10.000
o
•i-4
4}
o
L
C
01
O
c
o
o
c
o
O
C/)
0)
"D
•iH
O
OJ
Q_
1.QOO-:
0. 100. r
0.010-r
0.001
0.01
' - '
0. 10
•4-M-H
1.00 10.00
_)—111 I I 1 1—1—f—I....)..I I„„[ (-
100. 00
i — 111114.
Concentration, ppb
Max Daily = 23.9
Mean Daily = 0.73
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I I I I I 1 1 1 1—1 I I 1 [ 1
0.10 1.00 10.00
Percent* of Time Concentration Exceeded
FIGURE B, 13 Region: Crop: Koc:
MISSISSIPPI DELTA COTTON 500
0.01
100. 00
kw:
1.0
-------
03
I
0.01
100. OOOi H
Q_
a.
c
o
o
L
4-)
C
0)
o
c
o
u
c
o
• r-l
4J
D
r— t
O
t/)
"D
•M
O
•r-l
-P
w
OJ
Q_
10.000.:
1.000"
0. 100"
0.010"
0.001-
0. 10
I- I I-H-H
1.00
10.00
1 - 1 — I — I I I I I
100.00
1 - 1 — 1 — f — 1 ......... 1 I ).
Concentration, ppb
Max Daily = 30.5
Mean Daily = 1,04
0.01
FIGURE BB 14
Duration (days)
* 1 +4
o 2 x 30
0.10 LOO 10.00
PercQnt of Timo Concentration Excoedod
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
500
ks:
0.01
100. 00
kw:
0.5
-------
0.01
100. 000-^-
0.10
1.00
10.00
100.00
I
M
00
Q_
D_
o
O
L
-P
C
OJ
o
C
o
u
C
o
•1-1
-P
D
i—i
O
If)
Qi
"D
•1-1
O
-P
OJ
Q_
10. 000.r
1.000-::
0. 100-:
0.010-
0.001
_l - 1 — I — II I I
1— I
Concsntration, ppb
Max Daily = 40. 0
Mean Daily = 1. 67
Duration (days)
* 1 +4
o 2 x 30
H (.
0.01
FIGURE B 15
riuurxuD.u
0.10 1.00 10.00
PercQnt of TirtiQ ConcQntration Exceoded
Region; Crop:
MISSISSIPPI DELTA COTfON
Koc:
500
ks:
0.01
100.00
kw:
0.05
-------
0.01
100.000+—
CL
CL
c 10.000
o
0
L
4J
c
Ql
O
c
o
u
I
,1
c
o
CO
Ql
TD
•<— (
O
Ql
Q_
1.000-
0. 100-
0.010-
0.001
0. 10
1. 00
10.00
100. 00
-I 1 1—I—I—I I I
1 1—I—I—t-
ConcQntration, ppb
Max Daily = 32.9
Mean Daily = 3. 49
Duration (days)
* 1 +4
o 2 x 30
1 1 1—I—f—I-
0.01
FIGURE B,16
0.10 1.00 10.00
PQrcQnt of Time Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
500
ks:
0.001
100. 00
Kw:
1.0
-------
0.01
100. 000 4 *
w
I
to
o
_Q
CL.
Q_
o
•r-l
•P
o
L
-P
c
01
o
c
o
C
O
•r-t
-P
D
1 — I
O
CO
OJ
TJ
•i—!
O
(fl
OJ
Q_
10. OQO.r
1.000-
0. 100-
0.010.:
0.001
1.00
1—I—t-'l--l-l-t-
10.00
100.00
Concantration, ppb
Max Daily = 41. 7
Mean Daily = 4. 76
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B.17
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crop:
IISSISSIPPI DELTA COTTON
Koc:
500
Ks:
0.001
100. 00
kws
0.5
-------
0.01
100. 000+—
_Q
Q_
Q_
10.000^:
O
,,_(
-p
o
L.
C
g 1.000
c
o
u
c.
o
I -^
NJ -P
H 3
•—i
O
t/)
OJ
*D
•i-i
O
•I—*
-p
0)
OJ
Q_
0. 100-
0.010^:
0.001
0. 10
1.00
10.00
100.00
1 1—I I I I
1 1—I
Concentration, ppb
Max Daily = 57. 1
Nean Daily = 7.28
Duration (days)
* 1 +4
o 2 x 30
-I 1 1—I—I— \ 1 1-
-1 1 1—I—I—I 1 I
0.01
" i
0. 10 1.00 10.00
Percent of Time Concentration Exceeded
MISSISSIPPI" DELTA COTTON
KOC;
500
ks:
0.001
100.00
kw:
0.05
-------
0.01
100.000^-
0. 10
1.00
10.00
100.00
w
1
jQ
CL
Q.
o
•r-l
-P
O
L
4-5
c
OJ
o
c
o
CJ
c
o
.rH
4J
D
O
CO
QJ
T)
•rH
O
•rH
4-5
(/)
Q)
CL-
IO. OOO.r
1.000-
0. 100-
0.010-
0.001
,—(—I I I 1 I
H 1 1 1—t-+-t-t-
Concentration, ppb
Max Daily = 7.26
Mean Daily = 0.07
_) 1 1—I—l,...l-.l I
Duration (days)
* 1 +4
o 2 x 30
1 1 i—I I I I
0.01
FIGURE B.19
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
KoC:
1500
ks:
0. 1
100.00
hw:
1.0
-------
0.01
100. 000 i—
0. 10
J3
D_
Q_
o
•r-»
-P
D
L
C
Q)
O
C
o
LJ
C
o
O
if}
0)
"D
•r-i
O
>rH
-P
w
OJ
0_
10. 000.r
1.000-
0. 100-:
0.010^:
0.001
~i T 1 1—lilt 1 1 1 1—I I •!
1.00 10.00 100.00
1 1 1—I—I I I I I 1 1 1—-)—I I I I.
Concentration, ppb
Max Daily = 8.49
Mean Daily = 0.10
Duration (days)
* 1 +4
o 2 x 30
I I 1 I i|
1 1
0.01
FIGUREB'20
0.10 1.00 10.00
Pgrcgnt of TimG Concentration Exceeded
MISSI^P? DELTA
Koc:
1500
ks:
0. 1
100.00
kw:
0.5
-------
0.01
100. 000"i
JD
Q_
Q_
£ 10.000
o
-p
o
L
-p
c
01
o
c
o
u
w
I
1.000-
0. 100.:
c
o
o
CO
01
£ 0.010
-P
0)
Q_
0.001
0.10
' - ' — ' — i i i 1 1 [
1.00
10.00
i 1 1 1 - 1
100.00
i — i i 1 1.
Concentration, ppb
Max Daily = 9. 94
Mean Daily = 0. 15
Duration (days)
* 1 +4
o 2 x 30
-I - ! - 1 - 1 — I f I
( - 1 - 1 - 1 — I I I I
1 1 1—I I I I
0.01
FIGURES. 21
0.10 1.00 10.00
PQrcQnt of TimQ Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
1500
ks:
0. 1
100.00
kw:
0.05
-------
0.01
100. OOOi
0. 10
1.00
10.00
100.00
CO
I
to
ui
Q_
Q_
c
o
•r~l
-P
O
L
C
QJ
O
C
O
LJ
C
O
-P
D
O
in
cu
"D
O
•i-H
-P
O.
10. OOQ.r
1.000-
0. 100-
0. OlO.r
0.001
1 I I
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily =14.56
Mean Daily = 0. 40
1—i—i—i i i i
0.01
FIGURE B.22
0.10 1.00 10.00
Percent of Timg Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
Hoc:
1500
ks:
0.01
100. 00
kw:
1.0
-------
0.01
100.000+—
0. 10
I
01
_Q
CL
CL
o
•rH
-p
D
L
-p
c
01
o
n
o
u
c
o
o
tn
OJ
"D
•iH
O
0)
Q_
10. OOO.r
1.000-
0. 100-
0. 010.r
0.001
-t f 1—I—l'""l I I"
1.00
H 1—I—I 1 I t 1
10.00
-i 1 1 f—I I 1 I I
100.00
-J—I—I I I-1 IJ..
ConcQntration, ppb
Max Daily =16.95
Mean Daily = 0.57
0.01
FIGURE B. 23
Duration (days)
* 1 + 4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
1500
ks:
0.01
100.00
kw;
0.5
-------
100.
0.01
-Q
Q_
Q_
c 10.000
o
-p
o
L
-P
C
01
o
c
o
u
"
I
o
LO
01
TJ
•r-t
O
•rH
-P
W
0)
Q_
l.OOO.r
0. 100-r
0.010-::
0.001
0. 10
1.00
10.00
100.00
H 1 1 I—)—III 1 1——I 1—I—I I I
-) 1 1—-i—I I I I
Concentration, ppb
Max Daily =20.53
Mean Daily = 0.92
Duration (days)
* 1 + 4
o 2 x 30
H 1 1 1—I—III 1 1 1 1 1—I I I
H 1 1-
0.01
FIGURE B,24
0.10 1.00 10.00
Percgnt of Time Concgntration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
1500
ks:
0.01
100.00
kw:
.05
-------
0.01
100. 000*—
0. 10
td
I
to
00
-D
Q_
Q_
-p
D
L
01
O
C
O
u
C
o
O
CO
01
TJ
•t-i
O
•l-t
-p
w
01
Q.
10. OOQ-r
1.000-
0. 100"
0.010"
0.001
-t 1 1
1.00
-l-t-M-|
10.00
\—•}—1 1 1 1-1 1
Concentrotion.
Max Daily = 18/0
Mean Daily » 1.87
Duration (days)
* 1 + 4
o 2 x 30
-t i 4 (-
0.01
FIGURE B. 25
0.10 1.00 10.00
Percent of TimQ Concentration Exceeded
Regions Crops
MISSISSIPPI DELTA COTTON
Kocs
1500
kss
0.001
100.00
kws
1.0
-------
0.01
100. 000 ±
CL
a.
t£ 10.000
o
O
0. 10
1.00
10.00
100.00
to
i
c
Ql
o
c
o
u
c
o
O
t/)
01
T3
*t-t
O
(0
QJ
Q.
1.000-::
0. 100"
0. 010-r
0.001
Concentration, ppb
Max Daily - 22.6
Mean Daily = 2.57
Duration (days)
* 1 + 4
o 2 x 30
0.01
FIGURE B. 26
o.io i.oo 10.00
Percent of Time Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
Kocs
1500
ks:
0.001
100. 00
kw:
0.5
-------
0.01
100. OOOi 1-
Q_
Q_
0
•l-l
.p
o
.p
c
01
o
c
0
u
o
CO
01
TJ
•l-l
o
•l-l
4J
w
01
Q.
10. OOO^r
1.000-
0. 100-
0.010-
0.001
0.01
0.10
H-HH
1.00
I I I I I I
10.00
H 1 1—I I I I I [
100.00
H 1 1—I—I I I l-l'
ConcQntration. ppb
Max Daily - 30.7
Mean Daily « 3. 95
H 1-
H—>•-! II
Duration (days)
* 1 +4
o 2 x 30
FIGURE B. 27
0.10 1.00
Percent of Time Concentration
Region: Crop:
MISSISSIPPI DELTA COTTON
10.00
100.00
Koc: ks: kw:
1500 0.001 0.05
-------
0.01
100. 000+-
W
_a
Q.
Q.
o
•1-1
-P
o
L
-P
c
01
o
c
o
c
o
o
CO
CD
TJ
•rH
O
•r-l
•P
w
a>
CL
10.000.:
1.000-
0. 100-
0.010^:
0.001
0.01
0. 10
_j 1 (—I—I I I I I
1.00
10.00
100. 00
H - ) - i - 1 — t-l
H 1 1—i I I +-
Concentration, ppb
Max Daily = 3.25
Mean Daily = 0. 03
H 1 1 1—I I I I
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURES. 28 Region: Crop: Koc:
MISSISSIPPI DELTA COTTON 5000
ks:
0. 1
100. 00
kws
1.0
-------
0.01
100. 000-^-
tO
-Q
CL
CL
c
o
•1-4
-p
o
L
•P
c
01
o
c
o
o
c
o
o
en
01
T)
•r-t
o
•I-l
-P
(/)
OJ
0_
10. OOO^r
1.000-
0. 100"
0. 010"
0.001
0.10
1.00
10.00
100. 00
_J - 1 — J — 1 — [. 1 11
Concentration, ppb
Max Daily = 3.68
Mean Daily = 0.03
_j ,—I—,_
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B,29
0. 10 1.00 - 10.00
PercQnt of Time Concentration Exceeded
,—,
-»-+•
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
5000
ks:
0. 1
100.00
kw:
0.5
-------
0.01
100. OOOi - 1 - '
0.10
1.00
10.00
100.00
O_
Q_
o
o
L
C
Q!
O
c
o
U
c
o
DO .,H
I .p
U) ^)
U) ^^
O
O)
0)
T3
O
-P
W
Q!
CL
10. OOO.r
1.000-
0.
0. 010"
0.001
u
1—J—I—I I ) ).
Concentration, ppb
Max Daily = 4. 16
Mean Daily - 0.05
(.....t-f..-.t
'Duration (days)
* 1 +4
o 2 x 30
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
-H 1 1—(—f-M-
MISSISSIPPI*DELTA COTTON
Hoc:
5000
ks:
0. 1
100.00
kws
0.05
-------
0.01
100.000^-
W
I
U)
.Q
CL
CL
o
D
L
-P
C
01
O
Q
U
'c
o
O
0)
T)
•iH
O
•r-l
-P
(/)
OJ
CL
10. 000-:r
1.000-
0. 100-r
0.010-
0.001
0.10 1.00 10.00 100.00
_j_(_| 1 1 1—i—|... i ( i .[ 1 1 1—i—i t i i I 1 1 1—i—i i i |.
Concentration, ppb
Max Daily = 6.77
Mean Daily = 0. 18
0.01
FIGURE B,31
Duration (days)
* 1 +4
o 2 x 30
-f—, j
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crops
MISSISSIPPI DELTA COTTON
Koc:
5000
ks:
0.01
100.00
kw:
1.0
-------
03
I
U)
(Jl
0.01
100.000
0.10
1.00
_Q
CL
a.
c
o
•^
-p
o
L
•P
C
G>
O
C
o
o
c
o
en
OJ
"D
.^
O
.(HI
-P
03
0)
Q_
0.010-
0.001
10.00
I I i I
100. 00
Concentration, pp
Max Daily - 7. 63
Mean Daily = 0.26
0.01
FIGURE B 32
0.10 1.00 10.00
Percent•of Timo Concentration ExcQQded
100.00
Regions Crop:
MISSISSIPPI DELTA COTTON
Koc:
5000
kss
0.01
0.5
-------
100.
0.01 0.10
1 1—j—I—I I I I I
D-
CL
o
•i-i
P
D
L
P
C
0)
O
C
O
LJ
W 2
1 "-J
u> -P
O
en
0)
TJ
•r-t
O
•r-t
-P
w
a;
a.
10. 000-::
1.000-
0. lOO.r
0.010-
0.001
1.00
_1 1 1—|—[ t i [ I
10.00
_l—)—I—I 1 1 1 I
100.00
,—I—I—[„
Concentration, ppb
Max Daily = 8.84
Mean Daily = 0.40
Duration (days)
* 1 +4
o 2 x 30
H 1 ) 1_
\ 1
0.01
FIGURE B 33
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
5000
ks:
0.01
100. 00
kw:
.05
-------
0.01
100. 000+—
-O
Q_
Q_
c
o
• .-I
.p
o
L
C
QJ
O
C
O
O
f g
" ?
O
CO
OJ
T3
O
-P
0
OJ
- 10.
l.OOO.r
0. 100-
0.010-
0.001
0,10 1.00 10.00
[—I I I I I 1 « 1 1—It I I [ 1 1 1 1 1 t •!•"•! I
100.00
H 1—1 I I
Concentration, ppb
Max Daily = 9. 74
Mean Daily = 1.05
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B*34
0.10 1.00 10.00
Percent of Time Concontration ExcQQdod
Region: Crop-.
MISSISSIPPI DELTA COTTON
Koc:
5000
100.00
ks: kw:
0.001 1.0
-------
0.01
100. 000 4
*
Q_
CL
c
o
-P
o
L
-P
c
0)
o
c
o
u
c
o
O
LO
0)
TD
4rH
O
•r-l
-P
0)
0)
Q_
10.000-
1.000"
0. 100"
0.010^:
0.001
0.01
0. 10
1.00
' — ' — ' '''it
H 1 1—I—I l-l t
Concentration, ppb
Max Daily = 12. 0
MQan Daily = 1. 43
10.00
100.00
( 1 1—t-t-4-+
Duration (days)
* 1 +4
o 2 x 30
0. 10 1.00 10.00
Porcont of Time Concentration Exceeded
FIGURE B= 35 Region: Crop: Koc:
MISSISSIPPI DELTA COTTON 5000
100.00
ks: kws
0.001 0.5
-------
0.01
100. 000 -dr-
_D
o_
CL
c 10.000
o
o
L
-P
C
g
c
o
w
I
c
o
10
0)
13
•P
(/)
0)
Q_
1.000-
0. 100-
0.010"
0.001
0.10
1.00
10.00
100.00
-{ 1 1—I—(_J—{_
_j—_)_
_( 1 1—I—II I +-.I
H 1-
Concentration, ppb
Max Daily =15.3
Mgan Daily = 2.20
0.01
FIGURE B 36
Duration (days)
* 1 +4
o 2 x 30
0.10 LOO . 10.00
Percent of Time Concentration ExceQded
' Region: Crops
MISSISSIPPI DELTA COTTON
Kocs
5000
ks:
0.001
it
100.00
kw;
0.05
-------
0.01
100. 000^
.0
O.
Q_
C 10. 000 +
2 $
-p
o
L
-P
C
0>
o
C
o
LJ
w
o
CO
OJ
T)
•i-)
O
•rH
-P
W
.1.000-
0.
0.
0.001
0.01
10.00
1 1—t—<— I I I I
Concentration, ppb
Max Daily = 74.7
Moan Daily = 0.71
Duration (days)
* 1 +4
o 2 x 30
-i 1 1 J-
100. 00
-'-t
0.10 1.00 10.00
PQrcQnt of TimQ Concgntration Exccodod
I
1
I
i
r
.
1- _i 1 1 1 — iiil 1 1 1 1 1 — i — i— i-J J 1 i 1 1 — t r r \
H*i 1 1 1 1 — 1 — J-4-
FIGURE B 37 Region: Crop: Koc: ks:
MISSISSIPPI DELTA SOYBEANS 50 0.1
100.00
kw:
1.0
-------
w
I
CL
Q_
C
0
o
L
-P
C
0»-
o
C
o-
o
C
o
•r-l
-p
D
• — i
O
0)
-Q
•t-4
O
(0
OJ
o.
0.01
100.000-^—
I
0. 10
1.00
10.000+
1.000+
0. 100+
0.010-
0.001
10.00 100.00
1 1—I I I I j 1 1 1 1—I I ! !•!
0.01
FIGURE B,38
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 97. 0
Moan Daily = 1.03
1 f 1—I—f-W-
0.10 , 1.00 10.00
Percent of Time Concentration Exceeded
Region;
MISSISSIPPI DELTA
Crop:
SOYBEANS
Koc:
50
100.00
0. 1
0.5
-------
w
i
0.01
100.000
0.10
1.00
o.
CL
c
o
•i-i
-P
O
L
-P
C
OJ
o
c
o
o
c
o
O
CD
OJ
"D
•rH
O
•iH
..P
w
OJ
Q_
10. OOO.r
1.000-
0. 100-
0.010 +
0.001
10.00
I t I I
•|-UUIIL-|IUUUL|U |— „ _..
100.00
i-t-i_M-rr-fjn. .«- 1 ..;.-. v II— I iiliiiilinn
I [1 I IT ..... I I
0.01
FIGURE B.39
Duration (days)
* 1 * 4
o 2 x 30
Concentration, ppb
Max Daily = 127. 1
Mean Daily = 1. 63
1—i
T
T
0.10 1.00 10.00
Percent of Time Concentration Exceeded
-4-
T
f
I
Region:
MISSISSIPPI DELTA
Crop;
SOYBEANS
Kocs
50
ks:
0. 1
-I—I—t—l-f
100.00
kw:
0.05
-------
0.01
100. 000 +
0. 10
1.00
10.00
100.00
-
U)
JD
Q_
Q.
c
o
o
L
4-S
c
0)
o
c
o
u
c
o
CD
OJ
T3
•i-t
O
•«-•
-P
(/)
QJ
Q_
10. 000-:r
1.000"
0. 100-
0.010-
0.001
Concentration, ppb
Max Daily = 98.9
Mean Daily = 4.02
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B, 40
0.10 1.00 10.00
Percent of TimG Concentration Exceeded
Region;
MISSISSIPPI DELTA
Crop:
SOYBEANS
Kocs
50
kss
0.01
100.00
kw:
1.0
-------
w
I
*»
*»
0.01
100. 000 ±--
0.10
J3
tt-
Cu
c
o
o
L
4J
c
OJ
o
c
o
LJ
C
o
o
(/)
OJ
13
•t-»
O
•«-»
-p
w
cu
Q_
10.000.r
1.000-::
0. 100"
0.010-
0.001
1.00
-\ }- -+-4-.J..M-I
10.00
_l—J—(__(_I.-M_I
100.00
1 ! 1- I {-
Concentration, ppb
Max Daily = 128.
Mean Daily = 5.92
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B.41
0.10 1.00 10.00
PorcGnt of Time Concentration Exceeded
Rogions
MISSISSIPPI DELTA
Crops
SOYBEANS
Hoc:
50
kss
0.01
100.00
kw:
0.5
-------
da
I
*»
en
0.01
100. 000 i—
CL
Q_
c
o
•i-i
-P
o
L
-P
C
0)
o
c
o
o
c
o
•1-1
-p
3
O
t/)
Q)
"O
O
•1-1
Q)
CL
1.000-
0. 100"
0.010-r
0.001
0. 10
-I 1—I—I—I I I I I
1.00
Concentration, ppb
Max Daily - 168.
Mean Daily - 10.3
100.00
4 I 1 1 I I I I
Duration (days)
* 1 +4
o 2 x 30
-f 1 1 1—H4
0.01
0.10 1.00 10.00
Porcent of Timg Concentration Exceeded
MISSISSIPPI' DELTA
SOYBEANS
Koc:
50
ks:
0.01
100.00
kw:
0.05
-------
w
I
*•
CTl
0.01
1000. 00-
-D
D_
D_
o
L
C
0)
o
C
o
u
C
o
O
en
0)
"D
•i-i
O
•i-l
-P
(/)
01
100. OO.r
. OO.r
LOO-
0. lO^r
0.01
Concentration, ppb
Max Daily = 117.
Mean Daily = 21. 2
Duration (days)
* 1 +4
o 2 x 30
_! [ i j—i—i i i [ j_
i—i—i i ii
0.01
FIGURE B=43
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region; Crop:
MISSISSIPPI DELTA SOYBEANS
Koc:
50
ks:
0.001
100.00
kw:
1.0
-------
0.01
1000. 00 i
0.10
1.00
XI
Q_
Q_
o
o
L
-P
C
0)
o
C
o
u
C
o
1 £
o
to
(V
TO
•r-i
O
01
CL-
100.00"
. 00-
1.00-
0.
0.01
• — '
Concentration, ppb
Max Daily = 148.
Mean Daily = 30.2
10.00 100.00
t •! -I | 1 1 1 1—I I I I I
Duration (days)
* 1 +4
o 2 x 30
II
t r
H—i—i i i
0.01
FIGURE B,44
o.io 1.00 10.00
PercQnt of Time Concentration Exceeded
Region:
MISSISSIPPI DELTA
Crop:
SOYBEANS
KOC:
50
ks:
0.001
100.00
kw:
0.5
-------
0.01
1000. 00+
0. 10
1.00
10.00
100. 00
-
CL
CL
•p
O
L
•P
C
OJ
O
c
O
u
lOO.OO.r
Cd
1
**
oo
O
cn
0)
"O
10. 00.r
1.00-
o n in.. Concentration, ppb
£ I: Max Daily = 201.
(n :: Mean Daily = 50. 1
0) 7
a.
Oil I n in 1 - -1-- * * * * It.L... ___1_ t t I I..J..I..I-I. . „ J . _____ f t
. U i '
0.01
FIGURE B. 45
— 1 1 ; r — i — i — *— i = (™ 1 t 1 T
0. 10
Percent of Time
Region:
MISSISSIPPI DELTA
— i — i — i — i 1 j i
1.00
Concentration
Crop:
SOYBEANS
Duratio
* 1
o 2
10.00
Exceeded
Kocs
50
T (days) I
+ 4 f
x 30 ::
1 ' ' 1 (-..... j | ^j — |»_f«i *
100.00
kss kws
0. 001 0. 05
-------
0.01
100. 000 -t *-
J3
CL
CL
c 10.000
o
4J
o
L
.p
C
0)
o
c
o
LJ
w
I
C
O
•r-l
O
tn
OJ
O
•r-l
4^
w
0)
Q_
1. 000"
0.
0.
0.001
0. 10
I I I I
1.00
10.00
100. 00
_)—I—I I )
Concentration, ppb
Max Daily - 26.00
Mean Daily » 0.24
Duration (days)
* 1 + 74
o 2 x 30
0.01
FIGURE B. 46
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
MISSISSIPPI DELTA
Crop:
SOYBEANS
Kocs
500
kss
0. 1
100.00
kws
1.0
-------
0.01
100. 000 •!
0.10
1.00
w
I
ui
o
JD
Q_
Q_
o
o
L
C
01
o
c
o
CJ
c
o
01
"D
•t-i
O
•r-l
4->
(fl
01
Q_
10. 000"
1.000-
0. 100-
0.010-
0.001
' — ' — » i i
t 1 1 1 1
10.00
i-i-.i-i-t-|
100.00
1 - 1
Concentration, ppb
Max Daily = 33.44
Mean Daily = 0.34
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B.47
0.10 i.oo 10.00
Percent of Time Concentration Exceeded
Regions
MISSISSIPPI DELTA
Crop:
SOYBEANS
Koc:
500
ks:
0. 1
100.00
kw:
0.5
-------
0.01
100. 000-i
w
I
Q.
Q_
c
o
•r-l
-p
o
L
•P
c
01
o
c
o
u
c
o
0
en
0)
T3
•|H
O
•1-)
-p
w
OJ
a.
10.000.:
1.000-
0. 100-r
0.010^:
0.001
0.10
1.00
10.00
100.00
-f - 1 - 1
i i i
Concentration, ppb
Max Daily = 43.77
Mean Daily = 0.52
Duration (days)
* 1 +4
o 2 x 30
1 - j — t—i-i-
1 - 1 - 1 - 1 — I I I I
1 - 1
0.01
FIGURE B. 48
o.io i.oo 10,00
Percent of Time Concentration Exceeded
-I 1—1—I I -I I.
Region:
MISSISSIPPI DELTA
Crop:
SOYBEANS
Koc:
500
ks:
0. 1
100. 00
kw:
.05
-------
0.01 0.10 1.00 10.00 100.00
100. 000 ~t 1 > ' 1 -I I i I I 1 1 1 I-I-I--M-I 1 1 1 !• l'l-f"l-| i 1 I 1 I I'-
JD
Q_
D_
n 10.000'
o
o
L
m
o
c
o
u
w .2
en -P
to D
•—i
O
tn
(B
"O
•rH
O
OJ
Q_
1.000-:
0.
0.010"
0.001
0.01
Concentration, ppb
Max Daily = 47. 7
Mean Daily = 1. 35
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE B. 49 ^qion: • Crop
MISSISSIPPI DELTA SOYBEANS
Koc:
500
ks:
0.01
100. 00
kws
1.0
-------
to
I
tn
u>
0.01
100. 000|--
0.10
_Q
Q_
Q_
C
O
•r-l
-P
O
L
C
OJ
O
c
o
U
c
o
•r-l
O'
cn
QJ
"O
•f-4
O
w
(U
Q_
10. 000"
1.000-
0. 100-
0.010-
0.001
1.00
i I [
10.00
i i -»... i t I
100.00
1 - 1 — i — i ....... i |...|
Duration (days)
* 1. +4
o 2 x 30
ConcQntration, ppb
Max Daily = 61.4
Mean Daily = 1.97
0.01
0.10 1.00 10.00
Percent of Tirno Concentration Exceeded
MISSISSIPPI "DELTA
SOYBEANS
Koc:
500
kss
0.01
100.00
kw:
0.5
-------
w
I
100. 000i 1 1—<-» ' •' "
o
CO
0»
"O
.r-i
O
•r-l
4J
(ft
O
CL
0.010-
0.001
Concentration, ppb
Max Daily = 80.4
Mean Daily = 3.35
Duration (days)
* 1 +4
o 2 x 30
-i 1—i—i—iiit
0.01
FIGURE B,51
0.10 1.00 10.00
of Time ConcQntration ExcQQded
Region: Crop;
MISSISSIPPI DELTA SOYBEANS
Koc: ks:
500 0.01
100. 00
kw:
0.05
-------
0.01
100. 000-
_Q
Q_
Q_
if 10.000
Q
•P
o
L
-p
c
oi
o
c
o
w
O
en
a
T)
•r-l
O
w
0)
Q_
1.000-
0.
0. OlO.r
0.001
0. 10
_I 1 I—1—I I I I
LOO
-4 1 1 1—t. ,| i )
Concentration, ppb
Max Daily = 58.9
Mean Daily = 8.43
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE 6,52
0.10 1.00 10.00
Porcont of TimQ Concentration Excegdod
Regions
MISSISSIPPI DELTA
Crop:
SOYBEANS
Koc:
500
ks;
0.001
100.00
Nw:
1.0
-------
0.01
100.000+
0. 10
1.00
10.00
100.00
_d
O_
Q_
r* 10.000"
1
01
-p
o
L
-P
n
Q)
O
C
O
o
CO
Q)
TJ
•i-i
O
w
OJ
• Q_
l.OOO.r
0. 1004-
0. 010,r
0.001
Concentration, ppb
Max Daily = 73.0
Moan Daily = 11.5
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I I I I I 1 1 1 1—I 1 I I I f 1 1 1—I I I I 1 1 1 1—I I I
0.10 1.00 10.00
of TimQ ConcQntration
0.01
FIGURE B. 53 Region: Crop:
MISSISSIPPI DELTA SOYBEANS
100.00
Koc: ks: kw:
500 0.001 0.5
-------
0. 01
100. OOOi *
0. 10
1.00
10.00
100. 00
-D
Q_
D_
c
o
•1-1
-p
O
L
-P
c
0)
o
c
o
o
c
w o
I -M
in .
O
01
OJ
TJ
•rH
O
•rH
-P
(ft
0)
0_
10. OOO.r
1.000-
0. 100-
0. OlO.r
0.001
Concentration, ppb
Max Daily = 95.3
Mean Daily = 17.6
Duration (days)
* 1 +4
o 2 x 30 -
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
MISSISSIPPI* DELTA
SOYBEANS
KOCJ
500
ks:
0.001
100.00
kws
0.05
-------
0.01
100. 000 "i
Q.
Q_
t? 10.000+
o
w
i
D
•P
C
at
o
c
o
u
c
o
o
en
01
T3
•iH
O
Q)
Q-
1.000-
0. 100-
0.010"
0.001
0.01
0.10
1.00
' — *
Concentration, ppb
Max Daily = 15. 5
Mean Daily = 0. 11
10.00
100.00
1111.
Duration (days)
* 1 +4
o 2 x 30
_( - 1 - j - 1 I | | I
1 - 1 - 1 - 1 I C I I
i i—i—i—i i 11
_)—I—,—I I M.
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURES. 55 Region; Crop Koc:
MISSISSIPPI DELTA SOYBEANS 1500
kss
0. 1
100.00
kw:
1.0
-------
0.01
100. 000"i
0.10
w
1
U1
_Q
Q_
O_
E
o
•r-t
-p
o
L
-p
8
c
o
u
c
o
O
tfl
OJ
O
OJ
OL
10. OQQ.r
1.000"
0. 100"
0.010-
0.001
' - ' — ' — ' — h~ *-*-
' - '
1.00 10.00
' ....... ' ' ' 'I - ' - ' — ' — ' — ' •'' ''• '-I
100.00
Concentration, ppb
Max Daily - 19. 4
Mean Daily = 0. 15
I I I I
-f 1 1 1—1(11
Duration (days)
* 1 +4
o 2 x 30
f 1 1—f—t-
0.01
FIGURE B.56
0.10 1.00 10.00
Percent of TimQ Concentration Exceeded
Region:
MISSISSIPPI DELTA
Crop:
SOYBEANS
Hoc:
1500
0. 1
100.00
kw:
0.5
-------
0.01
100. 000 "i
_Q
Q.
Q_
c* 10.000'
o
O
L.
w
I
c
OJ
o
c
o
u
c
o
•r-l
4J
3
r-l
O
If)
0)
T)
O
•r-l
QJ
Q_
1.000"
0. 100-
0. 010"
0.001
' - ' — ' — i
0.10
i 1 1
1.00
i — i — H+-J-H
1 - 1
10.00
i — i i i 1 1 - 1
100.00
i — t r i i.
Concentration, ppb
Max Daily = 24.8
Mean Daily = 0.23
Duration (days)
* 1 +4
o 2 x 30
_) |_j 1 .|...|. ).,
0.01
FIGURE B. 57
0.10 1.00 10.00
PercQnt of Time Concontration Exceedgd
Reqion: Crop:
MISSISSIPPI DELTA SOYBEANS
Kocs
1500
kss
0.1
100.00
kws
0.05
-------
0.01
100. 000 *i
»
J3
Du
O_
c
o
"I-t
o
L
n
01
o
c
o
u
c
o
o
tn
0)
o
(1)
CD
a.
10. OOO.r
1.000-r
0. lOO^r
0.010-
0.001
' — ' — '
0.10
i i 1 1 1
1.00
10.00
100.00
Concentration, ppb
Max Daily =28.76
Mean Daily = 0.76
_! 1 | 1_
1 1 1—I I I I
0.01
FIGURE B,58
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
MISSISSIPPI DELTA
Crops
SOYBEANS
Kocs
1500
kss
0.01
100.00
kws
1.0
-------
0.01
100. 000-i
«
JD
Q_
Q_
i
o
o
-p
c
01
o
c
o
u
c
o
•rH
-p
o
en
cu
O
•i-i
-P
-------
tt)
i
100.
0.01
Q_
Q_
c
o
•r-t
-P
O
L
•P
c
01
o
c
o
u
c
o
•1-1
-p
D
i—4
O
CO
T)
•I-)
o
•r-t
-p
0
OJ
a.
10. 000.r
1.000-
0. 100-
0.010-
0.001
0. 10
1.00
10.00
1 — , — I I I I I
Duration (days)
#1 +4
o 2 x 30
Concentration, ppb
Max Daily =45.66
Mean Daily = 1.84
1 — i
0.01
FIGURE B. 60
0.10 i.oo 10.00
Percent of Time Concentration Exceeded
Region:
MISSISSIPPI DELTA
Crop;
SOYBEANS
Kocs
1500
kss
0.01
100. 00
i i i i
100. 00
kws
.05
-------
0.01
100. OOO^r-
0.10
JD
CL
D_
c
o
-H
•p
o
L
.p
c
01
o
c
o
u
o
in
01
T3
••H
o
••H
•P
tt
0)
Q_
1.000-
0. 100-r
0.010-
0.001
1-|..
1.00
_i—i—1._ [.-i- i-i-i—
10.00 100.00
•*-<-i-H 1—i—i—i tin.
Concentration, ppb
Max Daily =34.56
Mean Daily = 4. 43
Duration (days)
* 1 +4
o 2 x 30
-i—i
0.01
FIGURE B. 61
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
MISSISSIPPI DELTA
Crops
SOYBEANS
Koc:
1500
Ns:
.001
100.00
kw:
1.0
-------
0.01
100. 000-^-
0. 10
td
!
cr>
ui
J3
D_
Q_
O
•r-l
-P
O
L
-4-5
C
OJ
O
C
O
u
C
O
•l-l
-p
D
i—i
O
LO
CU
"O
•r-t
O
•r-l
-P
w
(U
Q_
10. OOO.r
1.000"
0. 100-
0. 010-r
0.001
0.01
1.00
_j—I—I—I.. I 111
10.00
1 - 1 — 1 — 1 — I 1 I I [
100.00
1 - 1 — I — I — 1 ) ill
Concentration, ppb
Max Daily =43.23
Mean Daily = 6.03
-t—t-
Duration (days)
* 1 -t- 4
o 2 x 30
0.10 1.00 10.00
Percent of: Time Concentration Exceeded
!
MISSISSIPPI*DELTA SOYBEANS
Koc: hs:
1500 .001
100.00
kw:
0.5
-------
w
I
a\
C
0)
o
c
o
o
c
o
O
tn
o
"O
•l-t
o
•r-l
4->
w
01
Q_
10.
1.000-r
0. lOO.r
0.010-
0.001
0. 10
n-t-H—
1.00
1 1 1—I—I I I I
10.00
I—I—I I I I I
100. 00
1—I—I I I I I
Concentration, ppb
Max Daily =55.33
Mean Daily = 9.26
_, ,_
1 1 1—I 1 I I
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B. 63
0. 10 1.00 • 10.00
Percent of Time Concentration Exceeded
Region:
MISSISSIPPI DELTA
Crop:
SOYBEANS
Kocs
1500
ks:
.001
100.00
kws
.05
-------
w
I
0.01
100. 000 -4r—
Q-
O,
c
o
•1-1
-p
c
L
-P
C
ffi
o
c
o
o
c
o
•rH
•P
D
•—I
o
en
OJ
TJ
•rH
O
•1-4
•P
w
01
a.
10. 000-::
i.ooot
0. 100"
0. 010"
0.001
0. 10
-+-H
LOO
10.00
Concentration, ppb
Max Daily - 7.34
Mean Daily - 0.04
0.01
FIGURE B064
Duration (days)
* 1 +4
o 2 x 30
100.00
-t—I- I l-j;-
<—i—»-
0.10 1.00 10.00
Percent of Time Concentration Exceeded
^—i
Regions
MISSISSIPPI DELTA
Crop:
SOYBEANS
Koc:
5000
kss
0. 1
4-
100.00
kws
1.0
-------
0.01
100. 000 f—
w
I
OS
oo
-Q
Q_
O_
c
o
•r-i
•P
a
L
-P
g
c
o
a
c
o
o
CD
0)
O
•r-l
-P
0
01
a.
10. 000,r
1.000-
0. 100"
0.010-
0.001
0.10
11 i M
1.00 10.00 100.00
i — 1111 i I - -i - 1 — i — i ....... i- 1 ..... i-i-l - 1 - 1 — i — i — i-i-t-i-.
Concentration, opt
Max Daily * 8.57
Mean Dailx = 0.05
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B. 65
0.10
1.00 10.00
of TimQ Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA SOYBEANS
Koc:
5000
ks:
0. 1
100.00
kw:
0.5
-------
0.01
1 00. 000 •£
0.10
1.00
10.00
100.00
W
I
c
0)
o
c
o
LJ
O
O
CO
01
TJ
•rH
O
0)
Q_
10. OOO.r
1.000"
0. 100-
0.010-
0.001
' - ' — • — '
Concentration, ppb
Max Daily = 10.3
Mean Daily = 0.08
i i 1 1
Duration (days)
* 1 +4
o 2 x 30
-» 1—i—i i i i i
0.01
FIGURE B. 66
0.10 1.00 10.00
PGrcQnt of TimQ Concgntration ExcQQdQd
RQgiom
MISSISSIPPI DELTA
Crop:
SOYBEANS
Koc:
5000
i 1 1—1 I I I
ks:
0. 1
100.00
kw:
0.05
-------
0. 01
100. 000 -i
0. 10
1. 00
10.00
100.00
jQ
Q_
Q_
o
•r-t
-P
O
L
C
<3J
O
C
o
(_>
C
o
o
CO
OJ
"O
•T~t
o
a
Q_
10. 000 4-
1.000--r
0. 100-
0. 010-ir
0.001
' ' ..... '
» — ' r i i 1 1
-4-- -H — i— J--M-) --- 1 - 1 - 1 — 1 — 1 ...... 1 I l'
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 14.0
Mean Daily = 0. 36
0.01
FIGURE B, 67
0.10 1.00 10.00
PercQnt of Time ConcQntration Exceeded
Region;
MISSISSIPPI DELTA
Crop:
SOYBEANS
Hoc:
5000
ks;
01
100.00
kw:
1.0
-------
0.01
1 00. 000 -jr-
_o
CL
ct
c 10. 000 i
o
O
L
c
01
o
c
o
CJ
c
w o
I ••->
-J -P
H D
O
0)
T3
•f-i
O
•i~i
-P
(/)
0)
CL
1.000-
0. 100-
0.010-r
0.001
0.10
1.00
10.00
^-^-^-^-^-
_) 1 1—I—1 I II
H 1—II I 1
_) i 1
Concentration, ppb
Max Daily = 16. 6
Mean Daily = 0.50
Duration (days)
* 1 +4
o 2 x 30
100.00
1 1 1 t I i
—1 1—-I—I I I I
0.01
FIGURE B. 68
0.10
LOO 10.00
of Time Concentration Exceeded
I I 1 I-
Region:
MISSISSIPPI DELTA
Crops
SOYBEANS
Koc;
5000
kss
.01
100.00
kw:
0.5
-------
0.01
100. 0004
0.10
w
I
-Q
Q_
CL
o
•f-t
-p
o
L
-P
C
01
o
c
o
u
-p
D
i—)
O
C/)
O
•i-l
•P
«
cu
Q_
10. OOO.r
1.000+
0. lOO.r
0.010-
0.001
' - ' — '
1.00 10.00
i -I ..... i 1 - 1 - 1 — ^ .......... I- i i-t ....... )•[
100.00
1 — i — (-H
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 20. 3
Mean Daily = 0.79
H 1 1 1—I I I- I
-1 1 1 1—I—I t I-
0.01
FIGURE B= 69
0.10 1.00 10.00
PercGnt of Time Concgntration Excoeded
Re9ion!
MISSISSIPPI DELTA
SOYBEANS
Koc:
5000
ks:
01
100. 00
kw:
0.05
-------
0.01
100. 000-i
w
I
-J
U)
O_
Q_
c
o
o
L
-P
c
OJ
o
c
0
U
c
o
•r-i
4J
D
1—I
o
en
0)
TJ
•r-4
O
•1-1
-P
w
OJ
Q_
10. 000.r
1.000^:
0. 100-::
0.010"
0.001
0.10
i M —
1.00
10.00
100.00
-i—I—{—»--»-
Duration (days)
* 1 . + 4
o 2 x 30
Concentration, ppb
Max Daily =23.52
Mean Daily = 2.47
0.01
FIGURE B. 70
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
MISSISSIPPI DELTA
Crop:
SOYBEANS
Koc:
kss
0.001
100. 00
Nw:
1.0
-------
0.01
100. 000 "i
0.10
w
I
JD
D_
Q_
•p
D
L
-P
C
CD
O
C
o
u
c
o
.p
o
C/)
0)
T3
•rH
O
•r-t
-P
(!)
OJ
Q_
10. 000.r
1.000-::
0. 100.r
0.010"
0.001
' - < — '
1.00
i 1 1 1
Concentration, ppb
Max Daily =29.05
Mean Daily - 3.34
i 1 1—I I I I
10.00
i i i 1 1 1
100. 00
-t—i—i i i i ii
Duration (days)
* 1 +4
o 2 x 30
0.01
0.10 1.00 10.00
PercQnt of Time ConcQntration Exceeded
MISSISSIPPI "DELTA
SOYBEANS
Kocs
5000
ks:
0.001
100. 00
kw:
0.5
-------
w
I
~J
Ul
0.01
100. 000+—
0. 10
_Q
O_
D_
-p
o
-p
c
OS
o
c
o
u
c
o
•1-1
-p
D
i—i
O
en
GJ
T3
-.-I
o
-p
w
0)
CI-
lO. 000.:-
1.000"
0. lOO.r
0. 010-:
0.001
1.00 10.00 100.00
-+-H 1 1—i—i—i tii| 1 1—i—i—i i 11-
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily =36.78
Mean Daily = 5.04
0.01
FIGURE B. 72
0.10 1.00 10.00
Porcent of TimQ Concentration Excoodod
-t H
Region:
MISSISSIPPI DELTA
Crop:
SOYBEANS
Koc;
5000
ks:
0.001
I I I-
100. 00
kw:
.05
-------
ro
I
-4
0.01
100. 000 •£
8:
c
o
o
L_
.p
C
OJ
o
c
o
u
"D
OJ
CD
01
T3
•iH
O
0)
Q_
1.000"
0.
0.010-
0.001
0.10
< - ' - ' — I t I I I [
1.00
1 - 1 - f — I II I I I
10.00
\ - 1 - 1 - 1 -1 ........ 1- 1 ...... 1' I - 1
100.00
_,—I i i .|. 14.
Concontration, ppb
Max Daily = 9.33
Mean Dail = 0. 23
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURES. 73
0.10 1.00 10.00
Porcent of TimQ Concentration Exceoded
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
50
ks:
0. 1
100.00
kws
1.0
-------
0. 01
100. 000*
0. 10
8: 10.000
c
o
-p
D
L
-P
C
0)
o
c
o
LJ
OJ
CD
0)
O
•«H
-P
«
OJ
Q_
1.000-
0. 100-
0.010"
0.001
' - ' ' •' ' '"
Concentration, ppb
Max Daily ~ 13.7
Mean Daily = 0.32
1. 00 10. 00
_t-fj 1 1—i—I—I I I I [
100.00
H ( (—I- I t I-
Duration (days)
* 1 .+ 4
o 2 x 30
_) - 1 - 1
1 - 1 - 1 - 1 — I I I ..... i ......
i * I 1 1—I- I 1 •!•
0.01
FIGURE B, 74
0.10 1.00 10.00
PQrcent of Time Concentration Exceeded
Reqion; Crop:
MISSISSIPPI DELTA COTTON
Kocs
50
ks:
0. 1
100. 00
kw:
0.5
-------
0.01
100. 000 -±
JD
S: 10.000
c
o
oo
-p
o
L
-P
0)
(J
c
o
u
01
CD
Ql
TD
•i-H
O
•rH
-P
(/)
01
Q.
l.OOO.r
0. 100-r
O.OlO.r
0.001
0.10
» - ' — ' — ' 't'i
1 - 1
1.00
1 1 j
Concentration, ppb
Max Daily =22.44
Moan Daily = 0.48
10.00 100.00
i 1 1 1 -- 1 - 1 — i — i— i 111.
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B,75
0.10
H—H—I I I I
1 1 1—1111
! 1 1—I I I I
1.00 10.00
of TimQ ConcQntration EXCQQCJQC]
RQqion: Crop:
IISSISSIPPI DELTA COTTON
Koc:
50
ks:
0. 1
100.00
kw:
0.05
-------
0.01
100.000^
X)
CL 10.000 +
c
o
0. 10
O
L
-P
c
CD
O
c
o
o
f -o
-j 0)
vo en
OJ
T3
•iH
O
M
OJ
Q_
1.000-r
0.-100-
0.010"
0.001
Concentration, ppb
Max Daily - 32. 4
Moan Daily = 2.88
Duration (days)
* 1 +4
o 2 x 30
0.01
0.10
1.00 10.00
of Time Concentration Exceeded
FIGURE B. 76 Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
50
ks:
0.01
100.00
kw:
1.0
-------
0.01
100.000-
0. 10
10.000 +
n
o
Ip^
-P
o
L
-P
C
OS
O
C
o
CJ
o en
0)
T3
•r->
O
•r-t
-P
0
OJ
CL
1.000-
0. 100.:
0.010^:
0.001
Concentration, ppb
Max Daily = 44. 6
Mean Daily - 4. 15
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1— 4—(—t-t-
[ i—I—[ , I I I
H 1 1
0.01
FIGURE B077
0.10 1.00 10.00
Porcont of TimQ Concentration Exceedod
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
50
ks:
0.01
100.00
kw:
0.5
-------
0.01
100.000^-
O.'IO
...H (.
1.00
i-H—
10.00
100.00
!
CO
H
J3
n
Q_
ft
C
O
•r-i
-P
O
•p
C
Of
o
C
o
LJ
T)
CD
OQ
Of
TJ
•rH
O
•r-l
-P
w
0)
Q_
10. ooo A
I
T
X
1
1.000¥
•f
i
•t"
T
4-
i
o. looi
4-
t
.i.
4.
T
t
n mni Concg
u-uiu? Max i
- ^. Mean
T
T
t
Onn 1 iii
. UU I 1 ' ' ' '
0.01
Max Dail = 65.2
0.10 • 1.00
Percent of Time Concentration Exceeded
Duration (days)
* 1 +4
o 2 x 30
10.00
FIGURE B 78
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
50
ks:
0.01
100.00
kw:
0.05
-------
0.01 0.10 1.00 10.00 100.00
1000. 00-i ' ' ' ' I I I I I 1 1 1 I--4-H4-H 1 1 1 1 I I I 1 [ 1 1 1 1 I I I I.
-Q
ol 100.00
c
o
D
L
.p
c
Q)
o
c
o
o
7 v
co QJ
to CD
OJ
O
•iH
•P
(/)
OJ
Q.
10.00-
0. 10-::
0.01
0.01
Concgntration, ppb
Max Daily = 63. 2
Mean Daily = 17.0
Duration (days)
* 1 + 4
o 2 x 30
-f 1 1 1—I—III 1 1 1 1—I—III h- 1 1 1—1—H-
0.10 1.00 10.00
Porcont of Time Concentration Exceeded
H 1 1 1 1 I I !•; (•
FIGURE B. 79 Region: Crop: Koc:
MISSISSIPPI DELTA COTTON 50
100.00
ks: kw:
0.001 1.0
-------
0.01
0. 10
1.00
10.00
100.00
iUUU. UU-:
JQ
Si loo.oo-:
c
o
-p
o
£ 10.00-
OJ :
o
c
o
CJ
7 T3
oo OJ 1. 00-
w CD :
QJ ;
•i-H
O
w 0.10.
QJ :
Q_ ;
0.01-
0.
.— . f — . j , — -^ — , — ^«"f- -^-.j— .' •... .- — f — 1— — i 1 — i — i — i — i— p 1 C" i r— -i — i — t-~t~i — ~~ -r- r — i r™"-r-r--i T—
: ' * — Sh^_^ :
^ ^ ^
Ik
^K. '
X
:- 1
t
- i
Concentration, ppb Duration (days) ^
: Max Daily = 87.5 * 1 + 4 :
: Mean Daily =24.5 o 2 x 30 -
01 0.10 1.00 10.00 100
i
J-
t
.00
Percent of Time Concentration Exceeded
FIGURE R 80 Region: Crop; Koc: he: kw;
MISSISSIPPI DELTA COTTON 50 0.001 0.5
-------
0.01
1000. 00 "i
JD
B: 100.00-
c
o
•1-1
-p
o
L.
7
co
*»
C
0)
o
n
o
u
OJ
DD
0)
O
0)
OJ
D_
10.00-
1.00-
0. 10-
0,01
0.10
' - ' — ' — i i i i 1 1
1.00
1 - 1 — i — i — i i i'i| — '
10.00
1 - 1 — i — !-•! -t-i-i-l
100.00
1 - 1 — i — i
ConcQntration, ppb
Max Daily = 143.
Mean Daily - 41. 5
Duration (days)
* 1 + 4
o 2 x 30
0.01
FIGURE B 81
0.10 1.00 10.00
Percent of Time Concentration Exceeded
100. 00
Rogion: Crop;
MISSISSIPPI DELTA COTTON
Koc;
50
0.001
0.05
-------
0.01 0.10 1.00 10.00 100.00
100. 000"i ' ' '—'—I I ' I I 1 1 1—I I I [ I [ 1 1 1—I—I I I I I 1 1 1—I—H-H4-+-:
J3
CL 10.000
c
o
oo
en
-p
o
L
-p
c
Q)
O
C
O
LJ
OJ
GO
OJ
TJ
•1-1
O
•rH
•4J
-------
0.01
100. 000-4r—
_Q
8: 10.000
c
o
O
L
•P
C
0)
o
c
o
o
03 0)
cr> OQ
0)
~o
•r-l
O
•I-l
GJ
Q_
1.000-
o. loot
±
0.010"
0.001
0.10 1.00 10.00 100.00
1 1—i—I I M-| 1 1 1—I—I i I I I 1 1 1—II 1 1 I I 1 i 1—II II ll
Concentration, ppb
Max Daily = 42.76
Mean Daily =1.03
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B,83
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crops
MISSISSIPPI DELTA COTTON
Koc:
500
ks:
0. 1
JL
JL
i
100.00
kws
0.5
-------
0.01
100. 0004
JD
CL 10.000-i-
o
o
L
-P
c
cu
o
c
o
o
W
oo
CD
(V
O
0)
O-
1.000+
a o. loo-
0.010"
0.001
0.10
1.00
10.00
100.00
' - ' — < — '••
Concentration, ppb
Max Daily = 63.62
Mean Daily « 1.51
>-•<
Duration (days)
#1 -1-4
o 2 x 30
_f—j_
4 f 1 1
0.01
FIGURE B. 84
0.10 1.00 10.00
Percent of Time Concontration Exceeded
Regions Crop:
MISSISSIPPI DELTA COTTON
Koc:
500
ks*.
0. 1
100.00
Nw:
.05
-------
0.01
1000. OOi 1 »
JD
§: 100.00
c
o
4->
O
L
4J
C
0)
o
c
o
o
w
i -o
co QJ
00 CD
0)
"O
•r-l
O
•r-<
•P
(fl
OJ
a.
10.00.:
l.OO.r
0. 10.:
0.01
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 107.
Mean Daily = 9.83
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
100. 00
MISSISSIPPI'DELTA COTTON
Koc: ks: kw:
500 0.01 1.0
-------
0.01
1000.00^-
_Q
§: 100.00
c
o
w
oo
-p
D
L
-p
c
CM
o
c
o
<->
"0
"O
•1-1
O
•r-t
-P
W
0)
a.
10.00"
1.00-
0. lO.r
0.01
0. 10
1.00
_| 1 1 (—j-H-|-4-
-I 1
10.00
_,—I 1 I I I
100.00
Concentration, ppb
Max Daily = 144.
Mean Daily = 13. 7
H 1-
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B.86
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
500
ks:
0.01
100.00
hw:
0.5
-------
0.01
1000. 00 i
-D
S: 100.00'
c
o
•P
o
L
4->
C
01
o
c
o
TJ
cy
DQ
OJ
~o
•H
O
w
OJ
CL
10. 00-r
1.00-
0. 10-:
0.01
Concentration, ppb
Max Daily = 2(35.
Mean Daily = 21.7
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Duration (days)
* 1 ->- 4
o 2 x 30
I I H|
1 1—i—I I tig;
MISSISSIPPI*DELTA COTTON
Kocs
500
0. 01
100.00
kwi
0. 05
-------
w
i
0.01
1000.00^-
-Q
§: 100.00-
c
o
0. 10
1.00
-P
o
L
-P
C
0)
o
c
o
o
13
OJ
m
OJ
"D
,,_H
O
OJ
lO. OO^r
1.00 +
0. 10T
0,01
-f—I—t-
10.00
-I ! I I [ 1-
100.00
Concentration, ppb
Max Daily = 244,
Mean Daily = 61.9
0.01
FIGURE B.88
o.io i.oo 10.00
Percent of Time Concentration Exceeded
100.00
Region: • Crop:
MISSISSIPPI DELTA COTTON
Koc:
500
0.001
1.0
-------
w
K)
0.01
1000. 00-t—
JD
§: 100.00
C
o
-P
D
L
-P
C
cu
o
C
o
u
0)
CD
Oi
TJ
O
-P
0)
0)
a_
10.004
1.00-
0. 10-
0.01
0.10
-t 1—I i 1 !•[
1.00
-t—I • I I I I I
10.00
I I 1 I [ 1-
Concentration, ppb
Max Daily = 330.
Mean Daily = 84.5
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B 89
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: • Crop:
MISSISSIPPI DELTA COTTON
Koc:
500
100. 00
H—I- I I "I
ks:
0.001
f)
H-C-Cgf
100.00
kw:
0.5
-------
a oi
1000. OOi - '
_Q
8: iQQ.oo-
c
o
o.io
1.00
10.00
100.00
a
i
o
L
4->
c.
Q)
O
C
o
CJ
Q)
QQ
OJ
o
•1-1
-p
w
OJ
o_
10.00-
1.00-
0. 10-r
0.01
1 - 1 - 1 — I — I i 111
Concentration, ppb
Max Dally = 4/2.
Mean Daily = 131.
Duration (days)
* 1 +4
o 2 x 30
ii
0.01
FIGURE B.90
0.10 LOO 10.00
PercQnt of Time Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
KOC:
500
ks:
0.001
100. 00
kw:
0.05
-------
0.01
100. 000 -i
0.10
1.00
8: 10.000-
c
o
O
L
4->
C
0>
o
c
o
CJ
7 -o
«3 a;
*» DQ
ai
T!
•r-t
O
•l-l
4->
w
Of
Q_
1.000-
0. 100, r
0.010-
0.001
0.01
* - < — ' — t—t-i-M-
1 - f
10.00 100.00
1 — i — t ....... i ............. i-i-i ...... i - 1 - 1 — i — i 1111.
Concentration, ppb
Max Daily = 58. 9
Mean Daily « 1.02
Duration (days)
* 1 +4
o 2 x 30
-I I 1
0.10 1.00 10.00
Porcent of Timo Concontration ExceQcted
FIGURED. 91 Region; Crop: Koc:
MISSISSIPPI DELTA COTTON 1500
ks:
0. 1
100. 00
kw:
1.0
-------
0.01
100. 000+—
_o
8: 10.000
c
o
-p
o
L.
-P
c
Qi
O
C
o
-o
VD 0>
ui 00
0)
T»
•r-l
O
OJ
Q-
1.000-
0. 100-
0.010"
0.001
0.01
0. 10
-M-H
1.00
1 (—I—I I I I
10.00
-*-n-H
100.00
-I 1—I—I I I
Concentration, ppb
Max Daily = BD. 8
Mean Daily - 1. 35
_, ,
-i 1
Duration (days)
* 1 -1-4
o 2 x 30
0.10 1.00 10.00
PQrcQnt of TimQ Concentration Excoedod
FIGURE B,92
Region; Crops
MISSISSIPPI DELTA COTTON
Kocs
1500
hs:
0. 1
100.00
kw:
0.5
-------
0.01
100. 000 "i
8:
c
o
D
L
4*
C
OJ
o
c
o
o
CD
0)
"U
•r-l
O
"1-1
-p
tt
OJ
CL
1.000"
0. 100"
0.001
0.10
' — ' — »• -r-i-i-i-|
10. 00 100. 00
i i i i i I 1 1—i—i ,.|..-t-i-h
Concentration, ppb
Max Daily = 77.6
Mean Daily = 1.90
Duration (days)
* 1 +4
o 2 x 30
1 - 1 - 1 - 1 - II M
1 - »t - 1 - ( - 1 I I I
0.01
FIGURE B.93
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
Kocs
1500
ks:
0. 1
100.00
kw:
0.05
-------
0.01
1000. OOi - • - •
_
S: 100.00
c
o
Cd
I
-p
o
L
-P
C
01
o
c
o
LJ
"O
OJ
CD
0)
T)
•r-l
O
•iH
-P
(/)
0)
O_
10.00-
1.00-
0.
0.01
0.10
1.00
10.00
100.00
H 1 1—I I I I |
_l 1 1 (-
-I 1 1—1—I I 1 I
Concentration, ppb
Max Daily = 145.
Mean Daily = 16. 5
Duration (days)
* 1 +4
o 2 x 30
1 1 1 1—I—M I-
0.01
FIGURE B, 94
-n-H ' •—•—*
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crop
MISSISSIPPI DELTA COTTON
Koc;
1500
0.01
100. 00
kw:
1.0
-------
0.01
0.10
1.00
10.00
100.00
J.UUU. UU-
_a
S: 100.00,
»
c
o
. . .1 •
86-a
Bed Concentrati
i — '
•— 0
D •
0 0
o o
OJ
~a
fr~t
O
1 0.10,
a.
0.01-
0.
; 1 1 1 1 1 — 1 — I J | 1 1 1 1 1 — I — I — I— fl 1 1 1 1 1 — I — I — I—J 1 1 1 1 1 — 1 — I — r;
h V — .,*-,.
: x "^HS^s^^. :
: ^*^_ :
***^
^^~
5tWL
^V
f ^fe, ~
**S3L
\k "
: \:
-
Concentration, ppb Duration (days) ,
Max Daily = 194. * 1 + 4 :
Moan Daily = 22.9 o 2 x 30 :
i i iiiiiil i i i i i i i i 1 i f riiiii! i i iiiiiiri
01 0.10 1.00 10.00 100
PQrcQnt of Time Concentration Exceeded
FIGURE B 95 Region: Crop: Koc: ks: kw,
MISSISSIPPI DELTA COTTON 1500 0.01 0. '
-------
w
I
0.
1000. 00-
_Q
S: 100.00-
* *
c
o
-p
o
*> 10.00-
C :
OJ
O
C
o
o
$ 1.00-
CD :
OJ
"O
•i — 1
O
,,_|
w 010-
OJ " :
0.01-
0.
01 0.10 1.00 10.00 100
iTTT==v; I I { _,. _ ^| _ | ::::::::Jt^ t u_ 1 :::l===aa,Jf^jA,..m .....--- j 1.= v;;;v .-rl=l— 1 =v-J=j f 1 1 1 1. 1 1 1 1 II I t ^v;;, 1 ,lllln, - 1 | ! 1 f t 1 =4; - - ^^ J_ j j- -,,,f .-.-.- ==f=r-— 1 — j | 1
T i i t 1 - -- 1 T 1 t 7 f |=-=1|=!=r1 J~~^ | ..,„„-..„„... J J -J.J-. - [ ^ J~~j | | =j.:.:.:----- J- J J- -m| _J™-.—.J _| J f—
; ^^^X. ;
i
Concgntration. ppb Duration (days) ,
: Max Daily = 273. * 1 + 4 ;
Mean Daily = 35.9 o 2 x 30 :
„ I | 1, t I | 1 t I _,_ | 1, ,,, | j j ._.|.=.-.-J t 1 I || f t l^Jj^^t;;^^ f 1 rr n----,,,,viv======= t [ 1 1 ^^4^=4=^™4^
01 0.10 1.00. 10.00 100
.00
!
i
•
f
f
.00
Percent of Time Concentration Exceeded
FIGURE B 96 Regions Crop: Koc: ks; kw:
MISSISSIPPI DELTA COTTON 1500 0.01 .05
-------
0.01
1000.00-^-
-Q
B: 100.00
c
o
td
H
o
o
-P
D
L
-P
C
0)
o
c
o
o
-D
01
CD
Q)
TJ
O
OJ
Q_
10.00"
1.00-
0. 10-
0.01
0.01
0. 10
-HH
1.00
-»—I-
H H
10.00
*-*-H
100.00
I I I 1.7
ConcQntration. ppb
Max Daily = 296.
Mean Daily = 99.6
Duration (days)
* 1 +4
o 2 x 30
H 1 H
-I 1 1 1—I I I I
-i 1-
0.10 1.00 10.00
Percent of Time Concentration Exceeded
-i—i—i—i i i IB
FIGURE B. 97
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
1500
ks:
0.001
100.00
kw:
1.0
-------
0.01
1000.00^-
w
o
_Q
S: 100. ooi
c
o
•r-i
4-5
O
L
4-5
C
m
o
c
o
CJ
CU
CD
CU
T3
O
-P
W
CU
Q_
10.00-
1.00-i
0. 10-
0.01
0. 10
-I-—i !—I I I I |
1.00
10.00
-f 1 ) 1—111!
ConcQntration, ppb
Max Daily = 4uu.
Mean Daily = 136
i—t—i i i
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B 98
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
1500
ks:
0. 001
100.00
-i 1 1 )—1—(—I Igg
100.00
kw:
0. 5
-------
0.01 0.10 1.00 10.00 100.00
1UUU. UU ;
JD H
a! 100.00^
ft "
c
o ]
*
zoi-a
Bed Concentrati
i— »
>— • o
• •
0 0
o o
1
Q)
T> ;
0
i
8 °- 1Ch
a> :
Q_
'
0.01-
0.
; r r— -i 1 — i — j i i | 1 1 1 1 — i — t-T-e-j • 1 1 1 1 — 1~ i i i \ i •!•• • i 1 — i — »— f-t^
• •
• >^~*===~~^--^ :
^^X
r lb"
: ^f
:
! 1
.
— <
i
• —i
• .
i
• i
> >
«
Concentration, ppb Duration (days) ^
: Max Daily = 596. * 1 * 4 ?
; Mean Daily = 210. o 2 x 30 j
1 ( Illllll 1 1 ii-iilll I i.i.itiiil t i iiiiiiri
-——^ I T • » < r 1 I J • * I r 1 III ] r j^^^.j.j— | j . . ^ -}•-) -I •• •••• -• ™ f > | < — •—%• 1 T T I tl
01 0.10 1.00 10.00 100
:
1
1
'
I
9
J
.00
Percent of Time Concentration Exceeded
FIGURE B 99 Region: Crop: Koc: ks: kw.
MISSISSIPPI DELTA COTTON 1500 0.001 0.05
-------
0.01
100. OOO^h-
0. 10
10.00
w
I
H
o
U)
JD
c
o
•r-4
4J
O
L
-P
C
OJ
o
c
o
LJ
TD
cu
DO
OJ
~O
O
0)
Q_
10.000-
1.000-
••
0. 100-
0.010-
0.001
0.01
-~t 1 1—I—I I I i I 1-
Concentration, ppb
Max Daily = 158.
Mean Daily = 2. 31
Duration (days)
* 1 +4
o 2 x 30
-I f 1 1—III]
100. 00
_l 1—I—I—I -l....l I;
0.10
1.00 10.00
of TimQ Concentration ExcQQded
H 1—1)11
FIGURE B. 100 Reqioni Crop: Koc:
MISSISSIPPI DELTA COTTON
ks:
0. 1
100.00
kw;
1.0
-------
0.01
100. OOOi
JD
a: 10.000
c
o
to
i
-p
o
L
•P
£.
at
o
c
o
TJ
cu
"O
•t-i
o
-p
Qi
CL
1.000-
). 100 +
0.010*
0.001
« — '
0.10
i i i i ill —
10.00
Concentration, ppb
Max Daily = 179.
Moan Daily - 2.94
Duration (days)
* 1 +4
o 2 x 30
t-—t
100.00
( - ( — ( — 1 ........... 1 ........ 1 ..... 1 ..... !.__.
-t f
0.01
FIGURE B. 101
0.10 LOO 10.00
Percent of Time Concentration Exceeded
Region: Crop
MISSISSIPPI DELTA COTTON
Koc:
5000
ks:
0. 1
100.00
kws
0.5
-------
0.01
100. 000+—
DO
I
_
8: 10.000
c
o
•r-l
-P
O
L
-P
C
0>
o
c
o
LJ
o
ui CD
0)
TJ
•rH
o
•r-J
-P
V)
0)
Q_
1.000-
0. 100-
0.010-
0.001
0. 10
1.00
H 1 1 1—HHH-
H 1 1 1—h I I -I
10.00
H 1 1—I- I III
i - 1
ConcQntration. ppb
Max Daily = 205.
Moan Daily = 3.93
Duration (days)
* 1 +4
o 2 x 30
1 1 1—I I I I
100. 00
^ — i i i i
-i 1 1 1—I I 1 I
0.01
FIGURE B. 102
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
Region: Crop:
MISSISSIPPI DELTA COTTON
Koc:
5000
ks:
0. 1
i 1
100.00
kw:
0.05
-------
0.01
1000. 00*
8: 100.00'
C
o
W
H
o
CTi
-p
D
L
-P
C
01
o
C
o
CJ
"O
0)
00
01
T)
•iH
O
•>-l
-P
w
a)
Q_
10.00"
LOO"-
o. 104-
0.01
0.01
0. 10
1.00
10.00
100. 00
ConcQntration. ppb
Max Daily = 2u3.
Mean Daily - 25.6
-t 1—i—i—i t 1
Duration (days)
* 1 + 4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE R 103 Region: trop: Koc:
MISSISSIPPI DELTA COTTON 5000
ks:
0.01
•>• >• 'it
100. 00
kws
1.0
-------
0.01
1000. OOi ' *-
0. 10
100. 00
03
I
_Q
B:
c
O
O
L
4J
C
Qi
Q
C
O
"O
OJ
DO
OJ
13
«f-i
O
•iH
4J
(/)
Q)
Q.
10.00.:
1.00^:
0. 10-
0.01
Concentration, ppb
Max Daily ~ 233.
Mean Daily - 34. 6
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B 104
I I i | i 1 ! !—1 III} 1 1-—I i—I I I I |
0.10 1.00 10.00
Percent of Time Concentration Exceeded
J - 1 - 1-
Regions Crop:
MISSISSIPPI DELTA COTTON
Koc:
5000
ks:
0.01
100.00
kw:
0.5
-------
1000.
0.01
OL 100.00
M
C
O
w
,L
o
-p
D
L
-p
c.
0)
o
c
o
<->
m
OJ
"D
'r-t
O
•r-l
4J
tt
OJ
Q_
10. 00"
1.00"
0. 10-
0.01
0.10
1 1 1 1
1.00
10.00
100.00
Concentration, ppb
Max Daily » 300.
Mean Daily = 52.1
1 1 1—i—riii
Duration (days)
* 1 +4
o 2 x 30
-* 1—J
4 H
0.01
FIGURE B 105
ribUKtd. 1UD
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crops
MISSISSTPPI DELTA COTfON
Koc:
5000
ks:
0.01
100.00
kw:
.05
-------
0.01 0.10
10000. 04 ' ' ' ' ' ' "
1.00
CL 1000.0
c
o
o
L
-P
C
0
o
c
o
w o
I
H TJ
O Qj
OJ
TJ
•r-l
O
W
0)
a.
100.0-
lO.O.r
1.0-r
0. 1
0.01
Concentration, ppb
Max Daily = 550.
Mean Daily = 195.
Duration (days)
#1 +4
o 2 x 30
1 1 1 | Ml 1 1 1 1—I 11-1 1 1 1 1—H-f-H 1 1 1 1—I I I I
0.10 1.00 10.00
Percent of Timo Concentration Exceoded
FIGURE B. 106 Region; Crop: Koc:
MISSISSIPPI DELTA COTTON 5000
100. 00
ks: kw:
0.001 1.0
-------
0.01
10000. 0-±
_Q
Si 1000.0
c
o
0.10
1.00
10.00
100. 00
O
L
4J
C
OJ
o
c
o
03 (_)
I
H -D
K 0)
0 DQ
OJ
TJ
•r-t
O
.(-^
•P
(/)
OJ
Q_
100. OT
10.0-
1.0*
0. 1
Concentration, ppb
Max Daily = 685.
Moan Daily = 262.
Duration (days)
* 1 +4
Q 2 x 30
-H 1 (—i I i I-
0.01
FIGURE B. 107
0.10 1.00 10.00
Percont of Time Concentration Exceeded
Region. Crop:
MISSISSIPPI DELTA COTTON
Koc:
5000
ks:
0.001
100.00
kws
0.5
-------
n
D_
*
c
0
•t-t
o
-p
c
OJ
o
c
o
W o
1 f _^
1 I ^J
H CQ
a;
TD
O
•P
W
OJ
Q_
0.01 0.10 1.00 10.00 100.00
10000. Oi
1000.0-
100.0-
10. D!
1.0-
0. 1-
j i 1 „ m „- ;, 1 L - , .- .rl m I :i L I -----. r m tjimnnn lor i ti " tan - i: :- imjruiLL ljnui__ I....UHI.-LJU- .- - J . . . . - .1 -vv;;;^tn- 1 . . . . t ...n.|-j:: uj- 1 mi jimnriiniiiiiii I ..- ::::::::— iml-nu-iiL- - j.. t " mill- j nj" 1- - 1 |..i....-.l j { -L — T ^:,:::::-:: ::« I iu. mill ji" ' . 1. ... i ulyi .. . ^V= -ii-.- JIL LHJ-1 1 t---l^-^ —
>J - I '"I I 1 I I T P I - \ I...UT-U --.- -j | .-:-j--|-i: -_ - 1 ,,-Jv:ir^™iJ- -iinriiniLiiiii - j ^,,, ..-==-- IIULJ IIU.-IIL- -±. J " IIIJJT j- ILJ"^.- - . . . J. . - .....|..i......| I J ' "- - ' I ^^ij-ui .. j JI__|-IL uij _ j 1 - 1._ .- _|--J.-^L —
,
: * ^*==S=*^^^^!bf==*x^^ |
' ^^^^^K»^ T
^^^*6*^»i«. T
• ^*\! t
\
• If
: ' n
; »
.
Concentration, ppb Duration (days)
Max Daily = 1077 * 1 +4
: Mean Daily = 399. o 2 x 30 ::
i i iifiit i i f f f i r f f i i * * t i i ( ^ t ii i t ! i t i.
UJJi — - m-.J- L- -|.TITIIII.II.I.- | J vi. ™|- (•-.-. J | ( T n.--.- ... ^_ „ ^™..,._ ( ' ' -f J — J— .^— -J J...-.1 — J— ,..„«„.•••• | ..-.^.^..., | f __|_,,| 1 f ...,.....— ««.».,_^— t— -L_JI JL ..... 1 ™~-|— J"" { J'J >{•" —
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
~I CURE B 108 Region: Crop: Koc: ks: kw:
. MISSISSIPPI DELTA COTTON 5000 0.001 0.05
-------
0.01
100. 000 -i
c
o
•r-1
•P
O
L
•P
C
Ql
O
C
o
w u
H ^
M m
0)
o
OJ
Q_
10. OOO.r
1.000-
0. 100-
0.010-
0.001
0.01
0.10
' - ' — ' — i i i 1 1 1
1.00 10.00
i i H -- 1 -- 1 — i — i i i 1 1 1
100.00
i i
ConcQntration. f3pb
Max Daily = 8.58
Moan Daily = 0.22
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—lilt
0.10
( 1 1 I I I I
-I-*-—I—I—I—I I I I-
1.00
of TimQ ConcQntration
10.00
MlSSlSSIPPI' DELTA SOYBEANS
Koc:
50
0. 1
100. 00
kw:
1.0
-------
0.01
100. 000 i - ' - '
0.10
_
CL 10.000
c
o
O
L
4->
C
0)
O
C
o
LJ
^ -o
U. 0)
w 03
0)
T)
"•—1
O
•1-1
•P
(/)
0)
Q_
l.OOO^r
0. 100"
0.010.:
0.001
0.01
1.00
-i — I — I I I I I
10.00 100.00
1 - 1 — I — I — I 1 I I I - 1 - 1 — I — I — I I I I'
Concentration, ppb
Max Daily -11.4
Mean Daily = 0.31
Duration (days)
* 1 +4
o 2 x 30
i—i—i—i i i i
0.10 1.00 10.00
Percent of Time Concentration Exceeded
MISSISSIPPI "DELTA SOYBEANS
Koc: ks:
50 0. 1
100.00
kw:
0.5
-------
0.01
100. 000 +—
JD
CL 10.000
o
w
4-J
D
L
•P
C
a)
o
C
o
<->
DO
W
TJ
•rH
O
•i-4
•P
w
OJ
Q_
1.000-
0.100-
0.010.:
0.001
0.01
0. 10
-I )—)—I—1 1 1 I I
1.00
_) 1—I—1 1-I I I ...I
Concentration, ppb
Max Dally = 15.9
Mean Daily = 0.49
10.00
I I I I I
100.00
i—I I I I l.
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
MISSISSIPPI*DELTA SOYBEANS
Hoc:
50
kss
0.- 1
100.00
kw;
0.05
-------
0.01
100. COO-
0. 10
., --- ( — ! .
1.00
10.00
f.— I — |_j_n.-| ----
100.00
is
I
U1
_Q ;
§: 10.000-^
c
o
o
L
1.000
c
Q!
O
C
o
u
TJ
0)
CD
01
"O
•r-i
O
4->
OJ
Q_
t
t
T
o. looA
+
+
„ i
0 01 0 "*"
f
a.
!
0.001-1
0.01
FIGURE B0
Concentration, ppb
Max Dai ly = 30. 4
Mean Daily = 5.09
_, f_.h-.i-+-+^.f4 4 1 -H— +-t
0. 10
Percent of Time
112 Region:
MISSISSIPPI DELTA
-_(_l_(_| 1 _....j +
1.00
Concentration
Crop:
SOYBEANS
Duration
* 1
o 2
...4. I...I.-I-LJ ,
t f i i-ri
10.00
Exceeded
Koc:
50
\
i
(days)
-
.
t
1.
+ 4 f
x 30 |
f
T
.j. 1 — ^ — ^ — (..|_m_j_
100.00
ks: kw:
0.01 1.0
-------
0.01
100. 000 £--
0.10
1.00
10.00
100. 00
JQ
c
o
•r-l
O
L
-P
C
01
o
c
o
w °
1 f \J
a\ CD
01
TD
-•-4
O
•r-l
4J
0)
CL-
IO. 000"
1.000-
0. 100-
0.010^:
0.001
-I 1—I—I I I I 11
H 1 1—I I I I I
Concentration, ppb
Max Daily = 40.6
Mean Daily = 7.47
H 1 1 1 I I I I I
Duration (days)
* 1 + 4
o 2 x 30
0.01
FIGURES. 113
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crop
MISSISSIPPI DELTA SOYBEANS
Koc;
50
ks:
0.01
I I I
100. 00
kws
0.5
-------
0.01
100. 000+-
JD
8: 10.000
o
•l-l
-p
o
L
c
0)
O
c
o
w <->
L -D
M 01
-J OQ
0)
TJ
•r-i
O
•r-i
-P
(/)
01
Q_
0. 100-
0. OlO.r
0.001
0.10
H 1 1 I I I I I
Concentration, ppb
Max Daily - 77.8
Mean Daily - 13.0
Duration (days)
* 1 +4
o 2 x 30
1 1
H 1 1-
0.01
FIGURE B. 114
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
MISSISSIPPI DELTA
Crop:
SOYBEANS
Koc:
50
0.01
100.00
kw:
0.05
-------
w
1
I-1
I-1
oo
JQ
p
O_
C
o
•P
D
L
-P
C
01
O
C
o
o
OJ
CQ
0)
TD
•t-t
O
•P
Cfl
0)
Q_
0.01 0.10 1.00 10.00 100.00
1000. 00-
;
100. 00 -.
10.00-
•
* * i ' * i i f 1 i t iittft! t i ititti! i ( tfitttt
»
.ill ±
• 1
8 ***ijfr—jfc
; ~ **==a-=*ft^ t
' ^"^*^*X^ ""
• ^^9^ I
^*N^ T
**k J
>^ i
- B6f
vl-
ff
n
I
T
.
l.QQ-j- • if
1 "'
T
:: I
0. 10i
•
0. OH
i
Concentration, ppb Duration (days) 1
: Max Daily = 157. * i * 4 |
; Mean Daily = 39.4 o 2 x 30 I
: {
\ 1 i iilfitj i I jilliij \ I Jllill[ I I till] I JJ]
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE B 115 Region: Crop: Kocs kss hw:
MISSISSIPPI DELTA SOYBEANS 50 0.001 1.0
-------
0.01
1000. 00-±
_
ol 100. 00
c
o
-p
o
L
-p
c
OJ
o
J
OJ
00
OJ
T)
•iH
O
•iH
-P
(/)
OJ
Q_
10. OO.r
1.00-
0. 10-
0.01
ConcGntration. ppb
Max Daily = 201.
Mean Dai ly = 56. 3
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I I I I I 1 1 1 1—I I I I I 1 1 1 1—I I I I
0.01
0.10 1.00
PorcGnt of TimQ ConcQntration
10.00
FIGURE B. 116 Region: Crop:
MISSISSIPPI DELTA SOYBEANS
Koc:
50
100.00
ks: kw:
0.001 0.5
-------
w
1
H
NJ
O
0.01 0.10 1.00 10.00
1000. 00 -.
J3
o_
0- 100.00-:
c
O '
-P
o
L
-P 10.00-
C :
0)
o
c
o
u
"O
0 1.00-
OQ :
W ;
•r-l
O
+> „ .. „
w 0. 10-
OJ :
o_
0.01-
~ ' X iS=g=~^ uj.
^~~^v.
" «5x».
: ^»
JS
Concentration, ppb Duration (days)
: Max Daily = 299. * 1 + 4
[ Mean Daily = 94.7 o 2 x 30
"" 1 1 1 i — i — 1 — i*H — j { — «._..__...) f { f— H"l*"i-*( : — 1 1 i £• — 1 — 1 — 1 — f—j 1 I 1 — : —
0.01 0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE B 117 Region: Crop; Koc: ks:
MISSISSIPPI DELTA SOYBEANS 50 0.001
100.00
:
f
;
. f
X f
1st
T
\
i
i
i
1
i i i i ,<
i i i i ij
J-
f
r
r
100.00
kwi
0.05
-------
0.01
100. 000|
-O
S: 10.000
c
o
o
L
.p
c
OJ
o
c
o
u
H OJ
to CD
H
OJ
"O
• 1-1
o
•r-t
-P
(/)
OJ
Q_
1.000"
0. 100.r
0. 010"
0.001
Duration (days)
* 1 +4
o 2 x 30
ConcQntration, ppb
Max Daily =104. 3
Mean Daily = 1.85
0.01
0.10 1.00 10.00
Porcgnt of TimQ ConcQntration ExcQeded
FIGURE B. 118 Region: Crop:
MISSISSIPPI DELTA SOYBEANS
Koc: ks:
500 0. 1
100.00
kws
1.0
-------
w
I
to
0.01
100. OOOi—
0. 10
1.00
10.00
.0
CL 10. 000, r
c
o
1 - 1 - 1 — I
•r-l
-P
O
L
C " i
0)
o
c
o
| 0.100-
OJ
T>
r
;
•r-l
"w 0.010-
01 :
Q_
n nm
r Cc
: M
: M
, , ,. i i
Concentration, ppb
Max Daily =132.3
Mean Daily = 2. 56
0.01
FIGURE B= 119
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
100.00
A,
i
f
T
i
i
RQgion:
USSISSiPPI DELTA
Crop:
SOYBEANS
Koc:
500
ks:
0. 1
,
1
i
t
-1-4-H-j-
100.00
kw:
0.5
-------
0.01
100. OOOi--
4
I
0. 10
w
I
GO
----- ! ---- j.
.)__)-. M
_Q
Q_
CL
•>
C
O
-,— t
4J
a
L
4~>
C
OJ
o
C
o
LJ
T)
OJ
CO
TJ
O
•r-l
-P
W
OJ
Q_
i
^ ^^^ |
10. 000*
I
T
I
I
1.000-Jr
i
I
4.
t
1
0. 100-:
0.010.
0.001-
0.01
Concentration, ppb
Max Daily =175.'9
Mean Daily = 3.86
— 1 1 f (— — ! — ( — f— f — J-" — *— (—
0. 10
1.00 10.00 100.00
-f 1—I je. I I I .—t-. f- - --[. -H—f |-..| .f-| -I |__H_-|—j. |..+ -|_j_
+
Duration (days) j
* 1 +4
o 2 x 30
-f 1—I—(—l-f-H f—
1.00
F h —i—1—h-f-|.-|
10.00
PercQnt of Timo Concgntration ExceQdQd
FIGURE B. 120
Roqioni
IISSISSIPPI DELTA
Crop;
SOYBEANS
KoC:
500
ks;
0. 1
4.
I
!
t
T
I
T
-4-
I
i
t
I
100.00
kw;
.05
-------
0. 01
1000. 00*
_a
8: 100.00
c
o
to
I
H
-jJ
o
L
.p
OJ
o
c
o
u
TJ
QJ
CD
0)
"D
•r-t
O
•1-1
•p
tt
a>
CL
10.00-
0. ID"
0.01
0. 10
-i-H—
1.00
H 1 I I 1 I I
10.00
H i 1—i—i i i i I
100. 00
* I 1 1 !•-»• i I-!-
Concentration, ppb
Max Dally = 186.
Mean Daily = 18.2
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B 121
riuurxt: D, i£i
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Reions
Cro:
DELTA
Hoc:
500
kss
0.01
100.00
kw:
1.0
-------
0.01
1000. 004
J3
§: 100.00
c
o
0.10
1.00
10.00
W
I
-p
a
L
-P
E
Q)
O
C
O
CJ
CD
Q)
TJ
•r-l
O
•r-l
•P
Q_
10.00"
1.00-
0. lO.r
0.01
0.01
100. 00
_L
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 221.
Mean Daily = 25. 7
0.10 1.00 10.00
Porcent of Time Concentration Exceeded
MISSISS?PPl" DELTA SOYBEANS 500*
ks:
0.01
100.00
kws
0.5
-------
w
1
H
0.01
1000.00
-Q
§: 100.00
c
o
• 1-1
-p
D
L
-P
C
CD
O
C
o
OJ
DO
0)
T!
•i-i
O
•i-H
-P
0)
OJ
0. 10
1.00
1.00-
0. 10-
0.01
Concentration, ppb
Max Daily = 290.
Mean Daily = 42.9
10.00
i i i
100. 00
Duration (days)
* 1 +4
o 2 x 30
H 1 1-—1—I I I I I 1 1 1 1—I I I I
H 1 1—I—I I I I 1 1 1 1—I—I I !•[ f
0.01
FIGURE B. 123 Region: . Crop:
MISSISSIPPI DELTA SOYBEANS
0.10 1.00 10.00
of TimQ ConcQntration ExcQQdod
Koc:
500
ks:
0.01
100.00
kw:
0.05
-------
w
H
0.01
1000.00-
0. 10
1.00
100.00
-Q
Si 100.00
E
o
o
L
4->
c
cu
o
c
o
o
Q,
m
01
TJ
•i-<
O
•r-»
-P
W
0)
. 00.:
LOO"
0.01
1 — I — I- I I I I
H — i
Concentration, ppb
Max Daily = 527.
Mean Daily = 154.
Duration (days)
* 1 +4
o 2 x 30
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
MISSISSIPPI "DELTA
SOYBEANS
Koc:
500
ks:
0.001
100.00
kw:
1.0
-------
0.01 0.10 1.00 10.00 100.00
w
1
H
to
CO
JD
Q_
D_
ft
C
0
-p
a
L
c
OJ
o
c
0
o
TJ
OJ
QQ
OJ
•»-1
O
-p
0)
OJ
Q_
J.UUU. UU;
100.00-
10.00-
1.00.
0. ICh
0.01-
: x t* — ^^ •
^^s%.
^*. -
! \
- t
f
f
- $
T
i
6
: j
,
Concentration, ppb Duration (days) ^
: Max Daily = 679. * 1 +, 4 :
Mean Daily = 210. o 2 x 30 -
1 1 1 I 1 1 I 1 1 1 1 1 1 I 1 1 1 1 I 1 I 1 I 1 I 1 I 1 I I 1 1 1 I I ft
I
I
I
f
f
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
MISSISSIPPI"DELTA SOYBEANS 500*
ks: Kw:
0. GDI 0.5
-------
0.01
1000.00t
JD
ol 100.00
c
o
0. 10
w
i
M
to
O
L
-P
C
(U
o
c
o
CJ
T)
0)
CO
0)
T3
•i-i
O
,^H
-P
W
OJ
Q_
10.00^:
l.OO.r
0. 10
0.01
0.01
100.00
i 1 1—I—I I-.. (.-.(
Concentration, ppb
Max Daily - 1175
Mean Daily = 325.
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00
PorcQnt of TimQ Concentration
10.00
H 1 1 1 "i I (•]§
MISSISSIPPI" DELTA SOYBEANS
Koc:
500
ks:
0.001
100.00
kw:
0.05
-------
0. 01
100. 000-±
0. 10
1. 00
_Q
8: 10.000
c
o
4J
O
L.
4*
C
OJ
o
c
o
w <->
I
H TJ
(jJ QJ
0 CD
OJ
"O
•1-1
o
•1-1
-p
(!)
0)
Q_
1.000-
0.
0.010"
0.001
0.01
' - • — * — ' ' '
i — i ....... i ....... i .......
Duration (days)
* 1 + 74
o 2 x 30
-i ^
10. 00 100. 00
1 - 1 — i — i i i 1 1.
Concentration, ppb
Max Daily = 107.
Mean Daily = 1. 22
f 1 t I I
0.10 1.00 10.00
Percent of Time Concentration Exceeded
MISSISSIPPI "DELTA
SOYBEANS
Koc:
1500
kss
0. 1
100. 00
kw:
1.0
-------
0.01
100.000^-
0. 10
1.00
10.00
_Q
8: 10.000
c
o
w
i
H
LO
-p
o
L
•P
c
OJ
o
c
Q
o
TJ
QJ
03
01
"O
•r-i
O
•r-l
Q_
1.000-
0. 100-
0.010"
0.001
Concentration, ppb
Max Daily = 116.
Mean Daily = 1.60
100.00
1 1—I—I 1 1
Duration (days)
#1 +4
o 2 x 30
0.01
FIGURE B= 128
0.10 1.00 10.00
Percent of TimQ Concentration Exceeded
Region:
MISSISSIPPI DELTA
Crop
SOYBEANS
Kocs
1500
ks:
0. 1
100. 00
kws
0.5
-------
0.01
100. 000-i
w
5
JQ
a:
c
o
o
L
C
01
o
c
0
u
"D
0)
00
01
T3
•r-t
O
w
0)
Q_
1,0004-
0.010-::
0.001
0.10
1 M
1.00
Concentration, ppb
Max Daily = 130.
Mean Daily = 2.30
0.01
FIGURE B. 129
10.00 100.00
i I I l I I ! 1 1—1 1 1 1 1-4.-
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region: Crops
MISSISSIPPI DELTA SOYBEANS
Koc:
1500
0. 1
100.00
kw:
0.05
-------
0.01 0.10
1000.OOi ' "—*
8: 100.00
c
o
-p
D
L
-P
C
(V
o
C
w u
-Q
DD
(V
TJ
•i-i
O
0)
Q_
10.00-
1.00-
0.10-
0.01
0.01
1.00
10.00
100.00
Concentration, ppb
Max Daily = 326.
Mean Daily = 31.7
Duration (days)
* 1 +4
o 2 x 30
-| - f - 1 - 1 I lit
1— - 1 - 1 - 1 — I (-t ..... 14
0.10 1.00 10.00
Percent of Time Concentration Exceeded
MISSISSIPPI*DELTA SOYBEANS
Koc:
1500
ks:
0.01
100. 00
kw:
1.0
-------
0.01
1000. 00+ *
JD
CL 100.00
o
4-5
O
L
4->
c
0)
o
c
o
to LJ
I
H TO
w o)
*" CD
01
T3
•r-J
O
•1-1'
•p
(/)
0)
Q_
10.00+
LOO-
0.10-
0.01
Concentration, ppb
Max Daily = 374.
Mean Daily = 44. 2
Duration (days)
* 1 +4
o 2 x 30
J - f - [ - [
) - 1 - 1 - 1 - 1 I I M
0.01
0.10 1.00 10.00
Percent of Timo Concentration Exceeded
MISSISSIPPI" DELTA
SOYBEANS
Kocs
1500
ks:
0. 01
100. 00
kws
0. 5
-------
0.01 0.10 1.00 10.00 100.00
1000. 00-
_Q
Q_
Q- 100.00-;
ft *
c
o
'l-i
o
{_
•P 10. 00-:
C :
01
o
c
0
W (_)
1
H ~U
u> a; i nn_
tn QQ • :
01
T3
•r-l
O
•i-l
1 0. 10-
01 :
CL
0.01-
. JgL|
® — - ^. ^_
^^II::::::fc^-~_
^^^^^^
^^-•^i..
: ^^*V
^^
\
\
\
i
: s
,
Concentration, ppb Duration (days) .
Max Daily = 463. * 1 + 4
Mean Daily = 71.8 o 2 x 30 :
:
I
!"
1
0.01 0.10 LOO 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE B 132 Region: Crops Koc: kss kws
MISSISSIPPI DELTA SOYBEANS 1500 0.01 .05
-------
0.01
1000. 00 ^r-
JD
S: 100.00
c
o
w
H
w
en
o
L
-P
c
Gi
O
C
o
o
"O
0)
QQ
OJ
TJ
•rH
O
•H
-P
W
OJ
Q_
10.00-
0. lO.r
0.01
0.01
0. 10
_j—)—J-+-4-H—
1.00
_J 1—,—I (111]—
10.00
H 1 1—I—t—»-+-H
100.00
< 1—I—1—II I I-I-
Concentration, ppb
Max Daily = 75o.
Mean Daily = 239.
Duration (days)
#1 +4
o 2 x 30
0.10 LOO 10.00
PercQnt of lime Concontration ExcegdQd
MISSISSIPPI* DELTA SOYBEANS
Hoc:
1500
ks:
0.001
100.00
kw:
1.0
-------
0.01
1000.00+
XI
ol 100.00
c
o
0. 10
1.00
10.00
100.00
D
L
-p
c
OJ
o
c
o
a
U) Q}
--j m
a;
O
Q.
10.00-
1.00-
0. lOtr
0.01
Concentration, ppb
Max Daily = 948.
Mean Daily = 324.
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I •<•••! 1
0.01
FIGURE B= 134
0.10 1.00 10.00
Porcent of "lime Concentration ExcQGCJQd
•H 1 1 1—1 1 1 l| f
Region:
MISSISSIPPI DELTA
Crop
SOYBEANS
Kocs
1500
ks:
0.001
100. 00
kw:
0.5
-------
0.01
10000. 0-i
X)
§: 1000.0
c
o
•p
D
L
•p
c
0)
o
c
o
w <->
u> 0)
c» CD
0)
TD
•i-i
O
•i-H
-P
M
o;
Q_
100.0.:
10. 0,r
1.0, r
0. 1
' - ' — '
0.10
1 1 1
1.00
1 - 1
ConcQntration, ppb
Max Daily =1600.
Mean Daily = 499.
10.00 100.00
i i i 1 1 1 - 1 - 1 — i — i i i i 1.7
Duration (days)
* 1 +4
o 2 x 30
H - 1 - 1 - 1 — I I I I
1 - 1 - 1 - 1 — I I I I
1 - 1 - 1 - 1 — I I I I | - 1 - 1 - 1 - 1 — I I I !•(
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
MISSISSIPPI'DELTA SOYBEANS
Koc:
1500
100.00
ks: kw:
0. 001 . 05
-------
0.01
100.000-^-
0. 10
JD
8: 10.000
c
o
w
I
H
to
-P
D
L
J->
C
01
o
C
o
o
GJ
m
Q)
TD
•rH
O
•rH
•*•>
tt
d
CL
1.0004
0. 100-
0.010.:
0.001
-I i 1—I—I i II
1.00
H 1—I—i -i- 1 1
10.00
Concentrot ion, ppb
Max Daily = 141.
Mean Daily = 1.49
100.00
i 1 i—t—I—f-f
i—i i ii-
Duration (days)
* 1 ^4
o 2 x 30
_, 1
0.01
FIGURE B. 136
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
MISSISSIPPI DELTA
Crop:
SOYBEANS
Koc:
5000
ks:
0. 1
+
100.00
Nws
1.0
-------
0.01
100. 000*—
0.10
1.00
10.00
J3
CL 10.000
•
c
o
•r-l
•p
o
i_
o
c
o
0)
"D
•r-l
O
"i-l
-P
w
01
Q.
1. OOO.r
0. 100-::
O.OlOlr
0.001
H - 1 - 1 — I- |.| l-l-
Concentration, ppb
Max Daily = 152.
Mean Daily - 1.89
100. 00
J.-^•+^4•
0.01
FIGURE B 137
hlbUKt B. id/
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
MISSISSfppI DELTA
Crop:
SOYBEANS
Koc;
5000
ks:
0. 1
100.00
kws
0.5
-------
0.01
100.000^-
0. 10
-Q
c
o
o
L
-P
C
O
o
c
o
10.000^:
w
OJ
CD
CU
T>
•rH
O
w
CU
Q_
1.000"
0. 100-
0.010-
0.001
10.00 100.00
1 1 1 •—H—III I 1 1 1 1—1—I—1~
Concentration, ppb
Max Daily = loo.
Mean Daily = 2.56
Duration (days)
* 1 +4
o 2 x 30
-i 1—i—i—i—i
0.01
FIGURE B. 138
0.10 LOO 10.00
Percent of Time Concentration Exceeded
Regions
MISSISSIPPI DELTA
Crop;
SOYBEANS
Koc;
5000
kss
0. 1
i ii i
100. 00
kw;
0.05
-------
1
0.01
1000.00^-
0.10
1.00
10.00
100.00
Q. 100.00*
c
o
•p
o
L
C
cu
(J
c
o
03 O
"O
QJ
"O
O
•l-l
4->
Q)
CL-
IO. 00 .r
1.00-
0. 10-r
0.01
Concentration, ppb
Max Daily = 490.
Mean Daily = 51. 2
Duration (days)
* 1 + '4
o 2 x 30
0.01
FIGURE 6, 139
0.10 1.00 10.00
PQrcQnt of Time Concentration Excggdod
Region:
MISSISSIPPI DELTA
Crop
SOYBEANS
Hoc;
5000
ks:
0.01
100.00
kw:
1.0
-------
0.01
1000.00-
.o
8: 100.00'
c
o
0. 10
10.00
100.00
-p
o
L
C
0)
o
o
to O
I
H -^
** cu
w CO
01
T3
•r-l
O
•fH
4^
a.
10.00-
1.00-
0. 10-
0.01
0.01
Concentration, ppb
Max Daily - 538.
Mean Daily ~ 69.0
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percgnt of Time Concontration Exceodod
FIGURE B 140 Regions Crops Koc;
MISSISSIPPI DELTA SOYBEANS
KSJ
0.01
100. 00
kws
0.5
-------
0.01
1000. OO^r-
0. 10
8: 100.00'
c
o
D
-P
c
OJ
o
c
o
w u
I
H TJ
QJ
m
01
"O
•r-l
O
•r-l
Q)
Q_
**
*>
10. QQ-r
1.00-
0. 10.r
0.01
'—*—'
1.00
^—I—i f i r-j-1—
10.00
-t—I—I—1 I. I 1 I
100. 00
i—i—I I I I IJ.
Concentration, ppb
Max Daily = 622.
Mean Daily = 104.
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE B. 141
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
MISSISSIPPI DELTA
Crop:
SOYBEANS
Koc:
5000
kss
0.01
100.00
kw:
0.05
-------
0.01
10000. 0-±
JD
S: 1000.0
n
o
0.10
1.00
10.00
100.00
O
L
-P
c
OJ
o
n
o
w <->
H TD
.fc. OJ
ui CD
OJ
T)
•rH
O
•rH
-P
(/)
OJ
Q_
100.0-
10.0-
1.0-
0. 1
0.01
Concentration, ppb
Max Daily =1406.
Mean Daily = 461.
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I I I I
H 1 1 1—I I I
-H 1 i 1—t—4
0.10 1.00 10.00
PgrcQnt of Time Concgntration Exceeded
MISSISSIPPI*DELTA SOYBEANS
Koc:
5000
ks:
0.001
100.00
kw:
1.0
-------
0.01
10000.0^-
_£3
S:
c
o
•r-i
-P
D
L
-P
C
OI
o
c
o
u
cu
m
oi
T3
•iH
O
•i-l
-P
(I)
OJ
Q_
100.0-
10.0-
1.0-
0. 1
0.01
'—<—'
0. 10 1. 00
-+-H f i—i—i- i 1-1 H—
10.00
_j j, i 1 ]...I-M-1
100.00
4 ) ( 1 •! I M-l.
Concentration, ppb
Max Daily =1743.
Mean Daily = 616.
_j 1—i—i—i i i t-
Duration (days)
* 1 +4
o 2 x 30
0.10 LOO 10.00
Percent of Time Concentration Exceeded
MISSISSIPPI "DELTA
SOYBEANS
Koc;
5000
ks;
0. 001
100.00
kws
0. 5
-------
0.01
10000. 0-±
8: 1000.0-
c
o
.p
D
L
-P
C
0)
o
C
o
w <->
^ -D
*. OJ
-J CO
0)
O
OJ
D_
100. O.r
10. O^r
1.0"
0. 1
0.01
0.10
1.00
10.00
100.00
Concentration, ppb
Max Daily =2645.
Mean Daily = 923.
Duration (days)
* 1 +4
o 2 x 30
-H 1 1 1—I I I I
H 1-
0.10 1.00
PQrcQnt of TimQ Concentration
10.00
FIGURE B. 144 RQqion: Crop:
MISSISSIPPI DELTA SOYBEANS
Koc:
5000
ks:
0.001
100.00
kw:
0.05
-------
0.01
1. QOOQi •-
0.10
o
.c
\
OT
JC
"D
O
O
0. 1000-
0. 0100-i
o
•iH
-P
0. 0010"
0.0001
1.00
-i—H |.-l I |.
100. 00
4 1 1—i—j—HH+-
Kocs (ml/gm)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50s 0.0278
Koc 500: 0.0319
1500s 0.0267
5000s 0.0175
0.01
FIGURE B. 145
0.10 1.00 10.00
PercQtrt of Time Daily Load Exceeded
100.00
Region:
MISSISSIPPI DELTA
Crops
COTTON
ks:
0.1
-------
0.01
1.0000-ir-
D
JC
\
U)
"O
D
O
0. 1000-r
0. 0100-:
CO
I
o
Q
01
"O
•i-t
o
g o.ooio
CL
0. 0001
1 -- 1
1.00
-^—l-^-j-f^J
1 - 1 - 1 - 1
10.00
«n-H
100.00
1- - 1
1 — j— H-
Kocs (.ml/am)
* 50 + 1500
o 500 x 5000
Max Daily Load
-------
0.01
1. 0000^-
o
x
en
T>
o
o
0. 1000-
0.0100::
to o
I O
H
ui 0)
0 T)
•rH
O
0.0010-
0.0001
0. 10
1.00
10.00
H 1 1 1—I I I I
H 1 1—I—I- I I I-
100.00
H 1 1—1111
Koc: (ml/gm)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50: 0.0595
Koc 500: 0.0778
Koc 1500: 0.0768
Koc 5000: 0.0858
0.01
FIGURE B.147
0.10 1.00 10.00
PercQnt of lime Daily Load ExcQQdQd
100.00
Roqion:
MISSISSIPPI DELTA
Crop:
COTTON
ks:
0.001
-------
0.01
1. 0000 +-
0. 10
100.00
o
_c
en
JC
13
O
O
0. 1000-r
0. 0100"
w
I_J
Ul
x.
i—i
•i-t
o
a
a>
"U
•e~4
O
8 o.ooio
a.
0. 0001
Kocs (ml/am)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50: 0.0306
Koc 500: 0.0411
Koc 1500: 0.0292
Koc 5000: 0.0200
0.01
FIGURE B.148
0.10 1.00 10.00
Percont of TirnQ Daily Load ExcQQded
100.00
Regions
MISSISSIPPI DELTA
Crop;
SOYBEANS
kss
0. 1
-------
0.01
1.0000*—
w
I
1_1
U1
0.0001
0.10
-i—i- I- I -I t I
1.00
10.00
I I I M-.I
100. 00
1—I—I—1 -l-l-l
Kocs (ml/gm)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50s 0.
Hoc 500s 0.0921
Koc 1500s 0.0950
Koc 5000s 0.0743
0.01
FIGURE B,149
o.io i.oo 10.00
Percent of Time Daily Load Exceeded
100.00
Regions
MISSISSIPPI DELTA
Crops
SOYBEANS
ks:
0.01
-------
0.01
1.0000^-
0.10
o
_C
\
O7
"O'
o
o
0. 1000-r
'0. 0100-r
H>
ui
o
a
QJ
TJ
•i-i
O
a.
0.0010-r
0.0001
0.01
FIGURE B. 150
1.00
1 1—I I I ( \
-I 1—(
10.00
-I" "I- <•• I i "I
100.00
Koci
* 50
o 500
(ml /am)
-i- 1500
x 5000
Max Daily Load
(kg/ha)
Koc 50: 0.0606
Koc 500: 0.1173
Koc 1500: 0.12HO
Koc 5000: 0.1133
0.10 1.00 10.00
Percent of Time Daily Load Exceeded
100.00
Region?
MISSISSIPPI DELTA
Crops
SOYBEANS
ks:
0.001
-------
APPENDIX C
PESTICIDE CONCENTRATION AND RUNOFF FREQUENCY CURVES FOR THE
EASTERN CORNBELT REGION
TABLE C.I FIGURE MATRIX FOR PESTICIDE SOLUTION CONCENTRATION
CURVES FOR CORN AND SOYBEANS IN THE EASTERN
Region :
Crops
Koc
(ml /gin)
50
500
1500
5000
Region:
Crop:
KOG
(ral/gm)
50
500
1500
5000
CORNBELT
EASTERN CORNBELT
CORN
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
EASTERN CORNBELT
SOYBEANS
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
1.0
C.I
C.4
C.7
C.10
C.13
C.16
C.19
C.22
C.25
C.28
C.31
C.34
1.0
C.37
C.40
C.43
C.46
C.49
C.52
C.55
C.58
C.61
C.64
C.67
C.70
Tew (per day)
0.5
C.2
C.5
C.8
C.ll
C.14
C.17
C.20
C.23
C.26
C.29
C.32
C.35
kw (per day)
0.5
C.38
C.41
C.44
C.47
C.50
C.53
C.56
C.59
C.62
C.65
C.68
C.71
0.05
C.3
C.6
C.9
C.12
C.15
C.18
C.21
C.24
C.27
C.30
C.33
C.36
0.05
C.39
C.42
C.45
C.48
C.51
C.54
C.57
C.60
C.63
C.66
C.69
C.72
C-l
-------
TABLE C,2 FIGURE MATRIX FOR PESTICIDE BED CONCENTRATION
Regions
Crop:
Koc
(ml/gm)
50
500
1500
5000
Region:
Crop:
Koc
(ml/gm)
50
500
1500
5000
CURVES FOR CORN
EASTERN CORNBELT
EASTERN CORNBELT
CORN
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
EASTERN CORNBELT
SOYBEANS
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
AND SOYBEANS
kw
1.0
C.73
C.76
C.79
C.82
C.85
C.88
C.91
C.94
C.97
C.100
C.103
C.106
kw
1.0
C.109
C.112
C.115
C.118
C.121
C.124
C.127
C.130
C.133
C.136
C.139
C.142
IN THE
(per day)
0.5
C.74
C.77
C.80
C.83
C.86
C.89
C.92
C.95
C.98
C.101
C.104
C.107
(per day)
0.5
C.110
C.113
C.116
C.119
C.122
C.125
C.128
C.131
C.134
C.137
C.140
C.143
0.05
C.75
C.78
C.81
C.84
C.87
C.90
C.93
C.96
C.99
C.102
C.105
C.108
0.05
C.lll
C.114
C.117
C.120
C.123
C.126
C.129
C.132
C.135
C.138
C.141
C.144
C-2
-------
TABLE C.3 FIGURE MATRIX FOR PESTICIDE LOADING CURVES FOR THE
EASTERN CORNBELT
Region: EASTERN CORNBELT
ks (joer day)
Crop 0.1 .01 .001
Corn C.145 C.146 C.147
Soybeans C.148 C.149 C.150
C-3
-------
0.01
100. 000-4:
Q,
CL
° 2
I -r?
- -s
< — t
O
t/1
0)
T3
•iH
O
•r-l
-P
w
O
Q_
ConcQntration, ppb
Max Daily = 266.
Mean Daily = 0.70
c* 10. OOOtr
O
O
L
-P
C
0)
O
C
O
O
0.010-
0.001
0.01
FIGURE C,1
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
EASTERN CORNBELT
LroD!
CORN
Koc:
50
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100. 000^-
_a
Q_ •
Q_
c 10.0004-
o
-P
O
L
-P
C
OJ
O
C
O
u
C
o o
i -^
01 -P
I— I
o
ID
•iH
O
•!-»
P
w
a
0_
1.000
0. 100-
0.010-
0.001
_i (—i-
0. 10
i M'-i !•
1.00
-i 1 1 1—I- M-H
10.00
100.00
4 _) ) j—(.._
Concentration, ppb
Max Daily = 273.
Mean Daily = 0.83
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C,2
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
50
Ns:
0.1
100.00
kws
0.5
-------
0.01
100. 000-^r—
10.00
JD
Q_
D_
c
o
o
L
4->
c
0)
o
o
u
0
o
01
0)
T)
•i-H
O
0)
CL-
IO. OOO.r
0. 100+
0.010-
0.001
ConcQntration, ppb
Max Daily = 281.
Mean Daily = 1.07
Duration (days)
* 1 +4
o 2 x 30
100.00
.) 1—I—1—I .l-l I
-I f 1 1—I •! 1
I *H 1 1—I I I I-
0.01
FIGURE C.3
0.10 1.00 10.00
Percgnt of Time ConcQntration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
50
ks:
0. 1
100. 00
kw:
.05
-------
0.01
1000.00^—
-Q
O_
Q_
c
o
rp*4
•P
o
L
-p
c
OJ
o
c
o
u
c
o o
I -^
-4 -P
D
'o
en
OJ
"O
•l-t
o
•1—i
•p
w
QJ
0_
100. OO^r
10.00^:
hOO-
0.
0.01
0.01
0. 10
-I—I—I I I I I
1.00
10.00
100.00
Concentration, ppb
Max Daily = 451.
Moan Daily = 8. 54
Duration (days)
* 1 +4
o 2 x 30
0.10 LOO 10.00
Percent .of Time Concentration Exceeded
FIGURE C.4
Region:
EASTERN CORNBELT
Crop:
CORN
Kocs
50
ks:
0.01
100.00
kw:
1.0
-------
0.01
1000.00^-
Q_
Q_
o
•r-l
4-5
o
L
C
0)
o
c
o
c
0 2
I -^
co -P
O
01
OJ
"D
•rH
O
-r~t
-P
w
OJ
Q_
100. 00.r
10.00^:
1.00-
0. lO^r
0,01
0.10
_) - ) - 1 - 1 I I I I I
1.00
1 - 1 - 1 - 1 — 1 I I I I
10.00
1 - 1 - 1 - 1 — I ....... I- -I ...... I ..... I
100.00
i - 1 - 1 - 1 — t— I-M-
Concentration, ppb
Max Daily = 468.
Mean Daily = 9. 78
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C,5
0.10 1.00 10.00
Percgnt of TimQ Concgntration Excggded
Region:
EASTERN CORNBELT
Crop;
CORN
Kocs
50
ks:
0.01
100.00
kw;
0.5
-------
0.01
1000. 00 i
_
o_
Q-
c
o
o
L
C
CU
o
c
o
u
c
o o
I -M
VO -P
O
CO
cu
TJ
•r-l
O
-r-l
-P
CO
OJ
Q_
100. 00^
10.00-
1.00-::
0. 10,:
0.01
0.10
1.00
10.00
100.00
H 1 i 1—I I II-
~) 1 1 1—I II I
i 1 1—I—I •! I-
Ouration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 486.
Mean Daily = 12.7
0.01
FIGURE C06
0.10 1.00 10.00
Porcont of Time Concontration Exceeded
100. 00
Region:
EASTERN CORNBELT
Crop:
CORN
Koc: kss kw:
50 0.01 0.05
-------
0.01
1000.00*—
0. 10
1.00
10.00
JD
CL
CL
•p
o
L
•P
C
01
Q
C
O
o
c
o o
^L £
o D
! 1
O
en
OJ
"U
o
(I)
Qi
CL.
100. 00.r
10. OO^r
LOO-
0. 10"
0.01
_l 1—(—I—l-l-l-l-
-t )—)—i I I I 1
_j (—(—i-.f-l-l-l-
100. 00
I I li
Concentration, ppb
Max Daily = 561.
Mean Daily = 33.0
Duration (days)
* i +4
o 2 x 30
_J 1-
0.01
FIGURE C.7
0.10 1.00 10.00
Percent of Time Concontration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Kocs
50
ks:
0.001
100.00
kw:
1.0
-------
1000.
0.01
0. 10
O
_Q
Q.
Q.
-p
o
L
4-5
c
01
o
c
o
o
o
-1-1
-p
D
,—i
O
in
01
o
•I-«
-p
0)
OJ
Q_
100.00-
10. OO^r
1.00-
0. 10,:
0.01
1.00 10.00
-I—I 1 1 I I 1 1 1—i—I I I I I
100.00
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 561.
Mgan Daily = 38.6
-t 1 1 1—I I I I I 1 1 1—I I I'M 1 ) 1 1--I I I H 1 f 1 )—I 1 I li
0.01
0.10 LOO 10.00
Percent of Time Concentration Exceeded
100.00
FIGURE C. 8 EASTER^-NBELT
Crop;
CORN
Koc: ks: kws
50 0.001 0.5
-------
a-Hg|l--l—® |HJB I I—I 1 0H-H-H—I H
*
_Q
CO
0™ •
Q-OD O
in in
II
§«
^
•S'ScS
S° c
" X D
O ° «
0S2:
•• 0
1 I I I I 1 |ll I I I I—I H
III I I—I—I-
II I I I I I h
O
O
•
o
0
o
•
o
o
o
OJ
•D
OJ
OJ
O
X
LU
C
O
O
L.
-P
C
OJ
O
C
O
CJ
Ql
E
O
o §
"-1 L
O £
o
o
o
o
o
o
o
•
o
o
o
o
T—H
•
o
o
•
o
4O
qdd '
in
O
•
a
o
o
o
in
QQ
^
^ ct:
.8
QJ
ce
cc.
LU
\—
CO
LU
0)
a
LJ
LU
cr
ID
CJD
i—i
LL_
c-12
-------
0.01
100. QQQf—
O
I
H
U)
_Q
Q.
D_
O
O
L
4->
c
01
O
c
O
O
c
O
„,_)
-P
D
O
CO
0)
O
OJ
Q_
10.0004
i
1.000-
0.
0.010-
0.001
0. 10 1.00
_)—I )..). [..I 1 1 1—f—). I I...) I
10.00
100.00
-I—t—I I I I
Concentration, ppb
Max Daily = 30. 6
Mean Daily = 0. 13
Duration (days)
* 1 +4
o 2 x 30
-f—t—I—I—+
0.01
FIGURE CB 10
0.10 1.00
PercQnt of TimG Concgntrat ion
10.00
T
t
f
t
Rggion;
EASTERN CORNBELT
Crop:
CORN
Koc: ks:
500 0. 1
100.00
kws
1.0
-------
0.01
100.0004
V
H
*»
JD
CL
D_
c
o
•r-l
-P
O
4-5
C
0)
o
c
o
LJ
C
o
-P
D
i—i
O
t/i
0)
13
•iH
O
•rH
4->
0)
10.000-
1.000-
0. 100-
0.010-
0.001
0. 10
H »-l—f-t-t-|
1.00
H 1 i-—I— l-»-H 1-
10.00
100. 00
Concentration, ppb
Max Daily = 31.4
Moan Daily = 0. 15
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C,11
o.io i.oo 10.00
Percent of Time Concentration Exceeded
Regions
EASTERN CORNBELT
Crop:
CORN
Koc:
500
ks;
0. 1
100.00
hw:
0.5
-------
0.01
100.000-4—
0. 10
1.00
10.00
100.00
_Q
Q_
Q_
O
•r-l
4->
O
L
4->
c
OJ
o
c
o
u
c
o
o
I
H •"*
Ul -P
D
O
CO
at
T3
•r-<
o
OJ
Q_
10. 000, r
1.000-
0. 100.r
0. 010,r
0.001
H 1
Concentration, ppb
Max Dai ly = 32. 4
Moan Daily = 0. 19
Duration (days)
* 1 +4
o 2 x 30
H 1 1 ^—I—I I I
H 1 1 1 i—
0.01
FIGURE C,12
I 1 1 1—I—)—l_f._l _l
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
500
ks:
0. 1
100.00
kws
0.05
-------
0.01
1000. 00+—
o
I
I-1
-l
o
• 1-1
-p
(fl
OJ
D-
100. OO^r
10.00-
LOO-
0. lO^r
0.01
0.01
I—f
0. 10
I ll
1.00
•H - 1 - 1 — I I
ConcQntration, ppb
Max Daily = 122.
Mean Daily = 3.94
10.00
I—j—I I I I I
100. 00
Duration (days)
* 1 +4
o 2 x 30
-\ - 1 - ) - 1 — i I I I
1 - 1 - 1. I 1 < H-
^ 1 1—-i—i I'M-
0.10 1.00 10.00
Percent of Time Concontration Exceeded
FIGURE C. 13
Region;
EASTERN CORNBELT
Crop:
CORN
Koc:
500
ks:
0.01
100. 00
kw:
1.0
-------
0.01
1000.00^
0. 10
1.00
Q_
Q_
c
o
•r-l
-P
O
L
C
0)
O
c
o
LJ
C
o
O
in
0)
TJ
•«-<
O
««-H
-P
W
0)
Q_
100. OO.r
10.00-
1.00-
0. 10 +
0.01
H 1 1 1—I—I—H-
Concentration, ppb
Max Daily = 122.
Mean Daily = 4. 31
_) j_
10.00
H—I I I I I 1—
100, 00
H 1 1 I I I .
H 1 1 1—I—[ I ).-
-I 1 1—[—f—f—f-f
Duration (days)
* 1 +4
o 2 x 30
-I 1 1—I I I I I
0.01
FIGURE C, 14
0.10 1.00 . 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop;
CORN
Kocs
500
ks:
0.01
100. 00
•kws
0.5
-------
0.01
1000. 00 •£
0.10
1.00
10.00
100.00
JQ
Q_
Q_
if 100.00'
o
-p
D
L
-p
c
OJ
o
c
o
u
o
I
c
o
0
en
OJ
o
•r-i
-p
w
Q)
. 00.:
1.00-
0. 10-
0.01
' - •' — '
Concentration, pp
Max Daily = 122.
Mean Daily = 5. 05
Duration (days)
* 1 + 4 '
o 2 x 30
H 1 ( 1—[...( f.f
0.01
FIGURE C.15
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region;
EASTERN CORNBELT
Crop:
CORN
Koc:
500
ks:
0.01
100.00
kw:
0.05
-------
0.01
1000. 00*—
0. 10
1.00
O
I
JD
CL
Q_
o
•iH
.p
O
L
C
as
o
c
o
LJ
C
O
•1-1
-p
O
in
0)
TJ
•i-i
O
•i-t
-P
0
01
Cl-
100. 00 T
10. OO^r
LOO-
0. 10-
0.01
1 ! H
ConcQntration, ppb
Max Daily = 186.
Mean Daily = 13.3
0.01
FIGURE C. 16
10.00 100.00
1 ^ 1—i—i .| i .|.j..
Duration (days)
* 1 +4
o 2 x 30
T
T
0.10 1.00 10.00
Percent of Time Concentration Exceeded
1 1—i—i i i
100.00
EASTE^-=NBELT
Crops
CORN
Koc: ks: kw:
500 0.001 1.0
-------
0.01
1000. 00-i—
Q_
CL
o
o
L
4J
C
OJ
o
c
o
u
100. 00.r
10,00^:
?
O -p
D
i — i
O
if)
til
"O
•r-t
O
(0
Q)
1.00.:
0. lO.r
0.01
0.10 1.00 10.00 100.00
_) j—i—i r t-l \ 1 1 f—I-••I-1-4 -l-| 1 1 1 1—t 1' '1 "I I 1 1 1— fr-t-l- 1'i j."
i
T
T
Duration (days) j
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = loo.
Mean Daily = 14. 7
H - 1
( - i - 1
1 1 1 1—I I I
0.01
0.10 1.00
Porcemt of lime Concontration
10.00
FIGURE C. 17
EASTE^'-NBELT
Crop:
CORN
KOC:
500
ks:
0.001
100.00
kw;
0.5
-------
0.01
1000. 00 4 ---- ' - '
0.10
1.00
10.00
100.00
o
I
O_
Q_
o
•1-1
-p
o
L
c
0)
o
n
o
CJ
c
o
•iH
-p
D
i—i
O
en
0)
TJ
•r-l
O
•r-l
-P
OJ
a.
100.00.:
10.00-
1.00-
0. 10-r
0.01
1—I—1—I—f_f_J-
_) 1 1—I—I
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 186.
Mean Daily = 17. 4
0.01
FIGURE C.18
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crops
CORN
Kocs
500
0.001
-t-4-f-tgf
100.00
kw:
0.05
-------
0.01
100. 000 -i
0.10
1.00
10.00
100.00
JD
Q.
r* 10. OOO.r
-p
D
L
•P
S i.ooo
C
O
u
o
I
to
o
O
CO
0>
TD
•rH
O
•rH
-P
0)
0)
Q_
0. 100-
0.010-
0.001
' - ' — ' — i i i 1 1
i — i i 1 1 1 - 1
1 - 1 — i — i
Duration (days)
* 1 +4
o 2 x 30
ConcQntration, ppb
Max Daily = 9.95
Mean Daily = 0.05
H 1 1 1—I 1 I I I 1 1 1 1—I 1 I I I 1 1 1 1—I I I I
0.01
FIGURE C. 19
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Crop:
CORN
Koc:
1500
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100. 000^- «-
0. 10
1.00
10.00
100. 00
-Q
CL
o
•r-l
•p
o
L
c
OJ
o
c
o
u
I -2
S
O
C/)
OJ
"O
•r-t
O
(It
10. 000
l.OOOi
J
0. 100-::
0.010-
0.001
1 — I — I III
1 --- 1 - 1 — 1 — I II I
1 - 1 - 1 — I — I ......... I' I I-
1 -- 1 - 1 — i — I ...... I I- 1-
Concentration, ppb
Max Daily = 10.2
Mean Daily = 0.05
Duration (days)
* 1 +4
o 2 x 30
-i 1 1—t—f~M-
0.01
FIGUREC»20
0.10 1.00 10.00
Percent of TimQ Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
1500
ks:
0. 1
100.00
kws
0.5
-------
0.01
100. 000^-
_O
O_
Q_
c' 10. 000 -
o
o
•»-4
4-3
D
L
4->
c
01
o
c
o
o
o
•i-r
4J>
D
.—i
O
CO
cu
•r-l
o
CU
Q_
1.000-
0. 100-
0.010-
0.001
0.10 1.00 10.00 100.00
_, 1 ill | I 1 1 1 1 ..f-.|-l-l I 1 1 1 1 1 |.| •! I 1 1 1 1 I II 1.
Concentration, ppb
Max Daily = 10. 4
Moan Daily = 0.06
Duration (days)
* 1 +4
o 2 x 30
.| ( f—f—f_f_f_
0.01
FIGURE C. 21
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Hoc:
1500
ks;
0. 1
100.00
Kw:
0.05
-------
1000.
0.01
0. 10
1.00
o
i
NJ
cn
-Q
Q_
Q_
o
•t-H
-P
O
L
-P
C
01
o
c
o
o
c
o
-p
D
•—i
O
en
Q)
TJ
•rH
O
•r-l
-P
OJ
D_
t
100.00
10. OOf
0. lO^r
0.01
_l (_
Concentration, ppb
Max Daily = 4*7.0
Mean Daily = 2.01
10.00 100.00
1 ill I | |- — -4- H h 1—i t I 1-1-
T
Duration (days) f
* 1 +4
Q 2 x 30
-4 1 1 1—I i 1
-•I ( 1
1 f—i—i i
0.01
FIGURE C. 22
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
EASTERN CORNBELT
Crop:
CORN
Koc:
1500
kss
0.01
100.00
kw:
1.0
-------
0.01
1000. 00-t—
.D
tx
CL
c 100.00-
o
•r-t
•P
D
L
C
01
o
c
o
o
" !
m -P
D
r—(
O
C/)
OJ
"O
o
•r-l
-P
OJ
CL
10.00-
0. 10-
0.01
0. 10 1.00 10.00 100.00
1 .|. I || j 1 1 (—)—I |-|-t..| 1 1 i—t I I I I I 1 1 1 I—I I--H
Concentration, ppb
Max Daily = 47.0
Mean Daily = 2. 18
1 1 ( i- I !-t'4
1
Duration (days)
* 1 +4
o 2 x 30
i 1—i—i—(—f~f-f-
0.01
FI CURE C. 23
-4-l-H
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Crop:
CORN
Koc:
1500
ks:
0.01
100. 00
kw:
0.5
-------
0.01
1000.001—
JD
D_
Q_
o
•r-i
-P
D
L
-P
c
OJ
o
c
o
o
?
to '^
-J -P
i — i
O
CO
OJ
T3
••H
O
••-)
-P
0)
OJ
Q-
100. 00 T
10.00"
1.00-
0. 10-
0.01
0.01
0. 10
_f 1—I—I 1 I I .j
LOO 10.00 100.00
1 1 1 1 i I I-I 1 J--:—I 1—I- I I I 4 i 1 1 1—ill!'.
Concentration, ppb
Max Daily = 47. 0
Mean Daily =? 2. 47
4-
Duration (days)
* 1 +4
o 2 x 30
-f— 1 1 h—I I M-
_1 1 I—I—I I ..( I
-4 1 i 1—i I It
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
FIGURE C. 24
Crop:
CORN
Koc:
1500
ks;
0.01
100.00
kw:
0.05
-------
0.01
1000. 004
to
CO
JD
O_
Q_
o
•r-l
P
D
L
P
C
01
O
C
O
u
C
o
•r-l
P
D
i—i
O
en
Ql
O
•r-l
-P
(D
OJ
Q.
100. 00T
10.00-:
1.00"
0.
0.01
0.01
0.10
1.00
' — ' — ' — *—' ' ' '
Concentration, ppb
Max Daily = 87.5
Mean Daily = 8.00
10.00
i 1 1 ]
100.00
-Mil
Duration (days)
* 1 +4
o 2 x 30
H 1 4-- I I r M
H 1 1—I I I I
0.10 1.00 10.00
Percent of Time Concentration Exceeded
H ! I-H—I I 1 l-fijj-
r per
U" ^
Reqion:
EASTERN CORNBELT
Crop:
CORN
Koc:
1500
0.001
100.00
kw:
1.0
-------
0.01
1000. 004—
JD
D_
CL
jf 100.00
o
•rH
-P
O
L
C
CD
O
c
o
u
O
cn
0)
o
•rH
-P
w
cy
a.
10.00"
••
1.00-
0. 10-
0.01
0.01
FIGURE
0. 10
1.00
10.00
100.00
H -- 1 - 1 — 1 ............. 1- ...... )
1 - 1 - 1 - 1 — h- f-M-j - ! - ( - 1 - 1 — II I I
Concentration, ppb
Max Daily = 87.5
Mean Daily = 8. 78
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—| .j | t-
0.10 1.00 10.00
Porcent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
1500
ks:
0.001
100.00
kw:
0.5
-------
0.01
1000. OQ-i
?
o_
Q_
-P
o
L
-P
C
OJ
o
C
o
o
C
o
o -P
(M^l
O
CO
0)
"O
•iH
O
•rH
-P
(/)
01
Q_
100. 00 *
10.00-
1.00-
0. 10^
0.01
0.10
1 - ' — ' — I- •! "' ..... '•' ........ I
1.00
I — i- -i ...... i-t-i-l
10.00
1 - 1 — i — I ..... i- i ..... i ...... i 'I
100. 00
_) 1 1 h I -.|..| .|.n!
Concentration, ppb
Max Daily = 87.5
Mean Daily = 10.2
|-^
0.01
FIGURE C. 27
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
1500
100. 00
hs: Nw:
0. 001 0. 05
-------
0.01
100.000^-
0. 10
LOO
O
I
OJ
_Q
Q_
Q_
o
•1-1
.p
o
L
•P
c
Q)
O
C
o
LJ
C
o
-P
D
O
CO
Q)
T)
O
•1-1
-P
Of
Q_
10. OOO.r
1.000-
0. 100-
0.010"
0.001
H 1 t 1—I—I I I
_l 1 1—J—I I I I
10. 00 100. 00
Mil 1 1 1—i—i ii i-
Concentration, ppb
Max Daily = 2. 84
Mean Daily = 0. 01
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C, 28
0.10 1.00 10.00
Percent of TimQ Concentration Exceeded
Region:
EASTERN CORNBELT
Crops
CORN
Koc: ks:
5000 0. 1
100. 00
kw:
1.0
-------
0.01 0.10 1.00 10.00
100. 000-± > 1—'—' i i 111 1 1—i—i i i 111 1 1—i—i i i 11 [
JQ
0.
Q_
c 10.000'
o
o
L
41
C
OJ
o
c
o
u
1.000-
o
O
CO
Qi
T3
•i-H
O
•t-t
-P
0)
OJ
Q.
0. 100-
0. 010.r
0.001
100.00
-I—I—I—I I I I
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 2.88
Mean Daily = 0. 02
H 1 1 1-
H 1 1 1—I I I I
0.01
FI CURE C. 29
0.10 1.00 10.00
PQrcont of TimQ ConcQntration Excooded
Crop:
CORN
Koc: ks:
5000 0. 1
100.00
kw:
0.5
-------
0.01
100.000-^-
n
i
JD
Q_
Q_
o
•i-H
-P
O
L
-P
C
01
o
c
o
c
o
.p
D
i—i
O
CO
01
T)
O
-P
W
OJ
Q_
10. OOO^r
l.OOO.r
0.
0. OlO.r
0.001
0. 10
-i 1 1—I—I I I I I
1.00
10.00
100.00
H 1 1 !—I I I I
H 1 1 1—I I I I
1 1 1—I I I I
Concentration, ppt
Max Daily = 2. 92
Mean Daily = 0. 02
H 1—^
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C.30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
EASTERN CORNBELT
Crop:
CORN
Koc:
5000
kss
0. 1
100.00
kws
0.05
-------
0
0.01
1000. 00 4
0.10
1.00
-Q
Q_
D_
o
•r-4
-P
O
L
-P
C
O
c
o
o
c
o
•iH
-p
D
i—i
O
QJ
"D
•1-1
O
•1-1
-p
0
Qi
CL-
100. OO.r
. 00-r
1.00-:
0. 10-
0.01
Concentration, ppb
Max Daily = 15. 0
Mean Daily = 0. 76
0.01
FIGURE C 31
10.00
i M|
100.00
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
1 i—I—I I
Regions
EASTERN CORNBELT
Crop;
CORN
Koc:
5000
ks:
0.01
100. 00
kw:
1.0
-------
0.01
1000. 004
Q_
Q_
o
o
$_
•p
c
cu
o
c
o
CJ
100. OQ.r
O
en
0)
"O
-rH
O
•iH
-P
w
0)
Q_
10.00-
1.00-
0. 10-
0.01
0.10
' — ' — ' — ' ' ' '
' — ' — '••
1.00
' ....... ' ..... I
Concentration, ppb
Max Daily = 15. 0
Mean Daily = 0.81
,—,—,
10.00
i 1 1 1
100.00
Duration (days)
* 1 +4
o 2 x 30
0.01
FI CURE C. 32
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Crop:
CORN
Koc:
5000
ks:
0.01
100.00
kw:
0.5
-------
0.01
1000. 00"i
O_
O_
r 100.00-:
O
O
L
•P
C
0)
o
c
o
o
c
o
O
to
0)
T>
.,_*
O
•r-l
4J
w
0)
Q_
10. OO^r
1.00-
0. 10-
0.01
0.10
' — ' — ' — '••
1.00
....... i f-[
10.00
ConcQntration, ppb
Max Daily = 15.0
Mean Daily = 0,90
100.00
i- ...... i ............ 1-1 ...... •
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C 33
r i uurtt u, o 3
0.10
LOO 10.00
of Time Concentration Exceeded
Region;
EASTERNy CORNBELT
Crop:
CORN
Koc:
5000
ks:
0.01
100.00
kw:
0.05
-------
0.01
1000.00+—
0. 10
1.00
O
JQ
EL
CL
o
o
L
-p
C
Qi
O
C
O
D
•—i
O
T)
•tH
O
-p
(/)
CD
Q_
100. 00.r
10.00-
1.00-
0. 10"
0.01
Concentration, ppb
Max Daily = 46.2
Mean Daily = 4.52
10.00
^_H|
100. 00
Duration (days)
* 1 ->- 4
o 2 x 30
0.01
FIGURE C, 34
0.10 . 1.00 10.00
Porcent of Time Concentration Exceeded
Region.
EASTERN CORNBELT
Crop:
CORN
Koc:
5000
0.001
100. 00
kw:
1.0
-------
0.01
1000. 00 -i
Q_
Q_
c
o
•1-1
•p
o
L
•p
c
0)
o
c
o
? §
w -^
oo +>
O
en
TJ
•rH
a
•r-l
•P
0
OJ
a.
100. 00-:r
10.004-
1.00"
0. 10"
0.01
0.10
1 - 1 - ' — I I I I I I
1.00
1 - 1 - 1 — I -I -I -I !•{•
10.00
1 - 1 - f — I I I I I I
100.00
1 - 1 - f - 1 I I I I;
Concentration, ppb
Max Daily = 48.2
Mean Daily = 5.01
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C 35
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
5000
Ns:
0.001
100. 00
kw:
0.5
-------
0.01
1000. 00 "i
_D
Q_
Q_
c
o
•rH
-P
o
L
-p
c
OJ
o
c
o
o
g
°
o
en
0>
"U
•r-H
O
•r-t
41
0)
OJ
Q_
100. OO^r
10.00-r
LOO-
0. 10-
0.01
0.10
1.00
10.00
• — ' — '••
Concentration, ppb
Max Daily = 48. 2
Mean Daily = 5. 77
Duration (days)
* 1 +4
o 2 x 30
f t
1 - 1 - 1 — I I I I
0.01
FIGURE C. 36
0.10 1.00 10.00
Percent of Time Concentration Exceeded
1 - ( - 1
Region:
EASTERN CORNBELT
Crop
CORN
Koc:
5000
Ns:
0.001
100.00
100. 00
kw:
0.05
-------
0.01
100. 000-i
0.10
LOO
o
I
*»
O
Q_
Q_
c
o
• rH
-P
O
L
o
c
o
C
O
o
tn
-a
•iH
O
•1-1
4J
w
QJ
Q_
10. OOO.r
l.OQO.r
0. 100"
0.010-
0.001
i i i 1 1
1 - t — i — 1
Concentration,
Max Daily - 2
Mean Daily = 1.87
10.00
i i ...... i ..... i -i [• '
Duration (days)
* 1 -f '4
o 2 x 30
100. 00
_i 1 (—|—i Mil
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
1 1—I I I I
EASTERN CORNBELT
SOYBEANS
Koc:
50
ks:
0. 1
100. 00
kw:
1.0
-------
?
0.01
100.000-^--
0.10
1.00
10.00
100.00
_Q
CL
CL
o
o
L
-P
C
a;
o
C
o
CJ
C
o
-p
13
1—I
o
en
cu
"O
•r-l
O
•1-1
01
CL
•t-
10. 000.r
l.OOO.r
0. 100-
0.
0.001
I—I
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 2o7.
Mean Daily = 2. 10
1 1—i—i i i r
0.01
FIGURE C,38
o.io i.oo 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
50
0. 1
100.00
kw:
0.5
-------
0.01
100. 000"i
0.10
1.00
?
ȣ*
to
XI
Q_
Q_
o
•r-t
-P
O
L
-P
C
O
C
o
CJ
c
o
-p
D
i—i
O
CO
01
"O
o
-p
w
cu
Q_
10. 000.r
1.000"
0. 100-
0.010-
0.001
' — I-I--I-M
10.00
i 1 1 1-|
Concentration, ppb
Max Daily = 320.
Mean Daily = 2.58
Duration (days)
* 1 +4
o 2 x 30
100. 00
i I-i-l'
( «• i—i—i—i i i i
0.01
FIGURE C 39
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
50
ks:
0. 1
100. 00
kw:
0.05
-------
0.01
1000.00+
0.10
1.00
JD
Q_
CL
-P
o
L
-P
C
0)
o
c
o
u
c
o
D
i—i
O
T)
O
•rH '
-P
to
OJ
o_
100.00^:
10.00"
1.00.:
0.10-
0.01
10. 00 100. 00
I I ,1 1-^ 1 1 {—I—f I I
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 1400
Mean Daily = 14.7
0.01
FIGURE (140
o.io i.oo 10.00
Percent of lime Concentration Exceeded
Region:
EASTERN CORNBELT
Crops
SOYBEANS
Koc:
50
ks:
0.01
100. 00
kws
1.0
-------
0.01
1000. 00 ~t
-Q
Q_
CL
c 100.00'
o
o
L
10.00
?
*.
rfs.
c
0)
o
c
o
o
c
o
.4-)
D
•—i
O
tn
"O
•iH
O
-r-(
-P
ffi
OJ
Q_
10. OO^r
1.00"
0. 10-
0.01
100.00
i- 1- 1 i -i
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 1401
Mean Dai ly = 16. 2
-i !—I 111'
_j 1—|—,—t_t_
0.01
FIGURE C.41
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region;
EASIER^ CORNBELT
Crop:
SOYBEANS
Kocs
50
ks:
0.01
100. 00
kw:
0.5
-------
0.01
1000. 00-Jr
0. 10
_Q
8: '
c* 100.00
o
.p
o
L
4*
c
OJ
o
c
0
CJ
? 2
S 3
i—i
O
C/)
OJ
TJ
•H
O
a;
Q_
10.00^:
1.00^:
0. 10-
0.01
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 1401
Mean Daily = 20.0
0.01
FIGURE C. 42
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region;
EASTERN CORNBELT
Crop
SOYBEANS
Koc;
50
ks:
0.01
100.00
kws
0.05
-------
1000.
0.01 0.10
1 1 1 1 I I I I I H
Q_
D_
c 100.00+
o
O
L
-p
01
o
c
o
" 2
*> "1
O
cn
01
T)
•rH
O
01
Q-
10.00-
1.00-
0. 10-
0.01
0.01
1.00
' I I I 111—
10. 00
-i - 1 - 1 I I I I
I - 1
100. 00
1 - 1 - 1 — I I I I 'I-
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 1750
Mean Daily = 40.4
H 1 1 1—1111
H 1-
^ 1 1—I I I I |
-f 1 1-
0.10
1.00 10.00
of TimQ Concgntration ExceQded
FIGURE C.43
RQgion:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
50
ks:
0.001
100. 00
kw:
1.0
-------
0.01
1000. 00-i
0. 10
1.00
?
JD
Q.
Q_
c
o
•rH
-p
o
L
-P
C
OJ
o
c
o
§
O
cn
OJ
o
•rH
-p
0)
0)
Q_
10.00-
1.00-
0. 10-
0.01
10.00 100.00
^ 1—i—i—i i i i.
Duration (days)
* 1. +4
o 2 x 30
Concentration, pob
Max Daily = 1751
Mean Daily = 46.1
H 1—f—r r t r i
H 1 1—i—i i i i
0.01
FIGURE CB 44
o.io i.oo 10.00
Percent of Time Concentration Exceeded
100.00
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
50
ks:
0.001
0.5
-------
0.01
1000.00^-
?
*>
co
JQ
DL
Q_
c
o
•r-t
-p
O
4->
C
0)
o
c
o
u
§
"•<
-P
i — i
O
OJ
-o
•r-l
O
•«-l
4J
(/)
o;
100. 00-
10.00"
1.00"
0.10-
0.01
0.10
LOO
10.
-i - 1
100. 00
1—1 .). .1 I
Concentration, ppb
Max Daily - 1751
Mean Daily = 58.9
Duration (days)
* 1 +4
o 2 x 30
) 1 1—I I I 1
0.01
FIGURE C. 45
0.10 1.00 10.00
PercQnt of Time Concontration Exceeded
Regions
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
50
kss
0.001
100. 00
kw:
0.05
-------
XI
Q_
O_
C
O
•r-t
O
L
-P
C
OJ
O
C
O
u
C
O
•r-i
t?
— f
O
OJ
TJ
•tH
O
•r-H
•P
0)
OJ
Q_
0.01 0.10 1.00 10.00 100.00
100.000-
I » ittiit I-L! ifftiil { .I 1 1 i i I 1 ! 1 I lll(tl-l
— —"•""• '•»)» j_ «_«. ^ -. — j-^_ ^, — t"~~t (-• — ^ r : --| - • •~"f*™"-""rr'- j j— "T;;;;;=v;T i r^ ^f™ ••" - I - - ^^ ^j.»~— j ju.-.=.| i i i j1"1 L^=I=£, .,-.-. "-^v v -| r^ ].. f_- [ » ^T
+ i
1 1--- t
.
10.000-:
+==-:::;:;^z~r^^ Duration (days) j
^ ~77p^r-— «^ A ' i 1
^*tK * 1 +4 |
%» °2 X3° \
t * ±
i \ 2k |
j. x\ ^v I
1 \ \
t \ \
1 \ \
1.0004 \X* t
\
•
0. 100-
- i \V 1
Xgb 4
\N^. (
\ -\ T
\ \ 4
\\,
•^-31
\^
\\
: ~ Nhtt 1
l A\ ^ i
0. 010-:
0.001-
•v. \\ '
\^ \\ T
: ^\ \ i
Concentration, ppb \, \
f Max Daily =53.7 >< S6 4-
: Mean Daily = 0.32 \ \ |
: . \\ |
: \\ 1
i I liiijl J J llli.lj i 3 li|iil| ^g i J } i 1 t l
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE C 46 Region; Crop: Koc; ks: kws
EASTERN CORNBELT SOYBEANS 500 0.1 1.0
-------
0.01
100. 000 i—
o
I
en
JD
Q_
a.
o
L
-P
OJ
O
c
o
u
o
o
CO
OS
"O
•
-------
0.01
100. 000~-
CL
D_
o
o
L
4->
c
01
o
c
o
u
D
i — i
O
OJ
T3
•r-i
O
•rH
4J
w
OJ
Q_
10. OOO.r
1.000^:
0. 100-
0.010+
0.001
0.01
*—
0.10
-i - 1 — •— »-+-*-[• ------ 1
1.00 10.00 100.00
1 - 1 - 1 — 1 ..... I ...... I- 1 I - i - i - 1 - 1 — H— t-f-j -- i -- i - 1 - 1 — I 1 I ij..
Concentration, ppb
Max Daily = 82.6
Mean Daily = 0. 42
Duration (days)
* 1 +4
o 2 x 30
0.10 LOO 10.00
Percgnt of Time Concentration Exceeded
100.00
FIGURE C 48 Region: Crop: Hoc: ks: kw:
EASTERN CORNBELT SOYBEANS 500 0. 1 0.05
-------
1000.
0.01
JD
D_
Q_
r 100. OO.r
-p
D
L
-P
C
01
o
c
o
o
? o
(J1 "^
to -P
•—i
O
CO
OJ
TD
•r-l
O
•rH
-P
0
cu
Q_
10.00"
l.QO.r
0. 10-
0.01
0.10 1.00 10.00 100.00
( 1—I I ..{ .[4 I 1 1 1—i I I I 1 I 1 1 1 1 I I I I I 1 1 1 1—H-f-M-
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 237.
Mean Daily = 5. 56
1 1—i—i—r i t i ! 1 1—i—i—1111
0.01
FIGURE C» 49
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
500
100.00
ks; kws
0.01 1.0
-------
0.01
1000. OOi
_Q
Q_
Q_
o
•iH
4-5
O
L
4-3
C
Of
o
c
0
(J
o §
w 4-S
! 1
O
cn
01
T)
O
•»H
+5
OJ
Q.
100. 00"
10. 00"
1.00-
0. 10-
0.01
0.10
1.00
10.00
100.00
' - ' — ' »
_) 1 1—,—I .,l.,,l,...l
_j 1—I—j—1-1 M.
1 1—t I [,-.) 1-
Concentration, ppb
Max Daily = 237.
Mean Daily = 5.98
Duration (days)
* 1 +4
o 2 x 30
-I 1 1—i—[,,[, j, I
i 1 ! 1—I I I I
-f 1 1—f—f~t~J-
0.01
FIGURE C.50
0.10 1.00 10.00
Porcont of Time ConcQntration ExcQQdQd
Rogions
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
500
ks:
0.01
100.00
kw:
0.5
-------
0.01
1000. OOi—
J3
Q_
D_
c
o
•r-t
4*
O
L
C
0)
O
c
o
u
c
o
•r-l
.p
D
cu
T3
•r-*
O
•r-l
-P
(fi
01
Q_
100. OO.r
10.00-
1.00"
0.10-
0.01
0.10
-J—I—III I [
1.00
10.00
100. 00
Concentration, ppb
Max Daily = 2d7.
Mean Daily - 6.87
Duration (days)
* 1 + 4
o 2 x 30
_l 1 1—I—I—I I I
1 1—I
1 1—1—I I I I"
0.01
FIGURE C. 51
0.10 1.00 10.00
Percent of TitnQ Concgntration Exceeded
Region:
EASTERN CORNBELT
Crops
SOYBEANS
KOC:
500
ks:
0.01
•100. 00
kws
0.05
-------
o
i
Ul
0.01
1000. 00
0. 10
_D
Q_
Q_
4-
£ 100.00 +
o
•o
L
4J
C
0)
o
c
o
a
O
I/)
0)
TJ
•r-l
O
•r-l
+J
w
QJ
. 00-
1.00-r
0. 10-
0.01
1.00
_l_|_| 1— H
10.00
_4_|_j_4-|
100.00
(. III.
Concentration, ppb
Max Daily = 315.
Mean Daily = 15. 6
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C, 52
0.10 1.00 10.00
Percent of Time Concentration Exceeded
i
±
Region:
EASTERN CORNBELT
Crop;
SOYBEANS
Koc:
500
ks:
0.001
100.00
hw;
1.0
-------
0.01
1000. 00 "i
JD
Q_
Q_
c
o
o
L
4J
c
OJ
o
c
o
CJ
100. OO.r
n
i
en
O
in
OJ
T3
•t-i
O
•i-t
43
(/)
0)
CL
10. 00-
LOO-
0. 10-
0.01
0.10
' - ' — ' — '
Concentration, ppb
Max Daily = 315.
Nean Daily = 17.0
0.01
FIGURE CB53
0.10
1.00
10.00 100.00
i- i-i-i- 1 1 - 1 - 1 — i — r t ...... i 1 1.
Duration (days)
* 1 +4
o 2 x 30
1.00 10.00
of Time Concentration Exceeded
Region;
EASTERN CORNBELT
Crop:
SOYBEANS
KOC;
500
ks:
0.001
100.00
kw:
0.5
-------
0.01
1000. 00-4—
?
ui
_Q
D_
Q_
C
o
•I-H
-P
O
L
-P
C
OJ
o
C
o
o
C
o
O
cn
01
~o
,^i
o
•I-<
-p
0)
OJ
Q_
100. OO.r
10. OO.r
1.00-t
0. 1Q-.7
0.01
0.10 1.00
H 1 1 1—I I I I I 1 1 1 f—II III
Concentration, ppb
Max Daily = 315.
Mean Daily = 19. 8
10.00 100.00
I I I I 1 1 1—I—II I I
Duration (days)
* 1 +4
o 2 x 30
H 1
0.01
FIGURE C,54
0.10 LOO 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
500
Hlf
ks:
0..001
100. 00
kws
0.05
-------
0.01
100. 000-i—
0
03
JD
D_
Q_
-p
D
L
-p
c
OJ
o
c
o
u
o
O
CO
OJ
TD
•r-l
O
•rH
-P
w
OJ
Q_
10. OOO.r
1.000-
0. lOOir
0. 010,r
0.001
0.01
0. 10 1. 00
-H 1 1 1—I I 1 I I 1 1 1 1—I—I I I I
Concentration, ppb
Max Daily = 19. 5
Mean Daily = 0. 12
10.00 100.00
i i I | 1 1 1—i—i i i i !•
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I i I I
-t 1 1 1—I I I I
( 1 1—I I I I
0.10 1.00
PercQnt of Time ConcQntration
10.00
FIGURE C 55 Region: Crop:
EASTERN CORNBELT SOYBEANS
Koc: ks:
1500 0. 1
100.00
kw:
1.0
-------
0.01,
100. 000 -i
0.10
o
1
(Jl
-Q
Q_
Q.
C
o
•H
-P
o
L
•P
C
OJ
o
C
0
u
o
O
to
Q!
O
•r-l
-P
a
ai
CL
10. 000.r
1.000-
0. 100-
0. 010"
0.001
Concentration, ppb
Max Daily = 23. 9
Mean Daily = 0. 13
1.00 10.00
t— i .......... i ..... i i 1 1 -- 1 -- 1 — i — t ................ t ......... K+-H -
100.00
Duration (days)
* 1 +4
o 2 x 30
-i 1 1 1—II II
0.01
FIGURE C, 56
0.10
1.00 10.00
of Time Concentration Exceeded
Region;
EASTERN CORNBELT
Crop:
SOYBEANS
Kocs
1500
ks:
0. 1
100.00
kw:
0.5
-------
0.01
100. 000 -i
JD
Q_
Q_
•p
o
L
-P
c
0)
o
c
o
u
M
i—i
o
en
0)
O
•iH
-P
W
0)
Q_
10. 000
1.000"
0. 100-
t
0.010-
0.001-
0.10
< — ' — i i i i H
1.00
10.00
100.00
1 — i — i i i i i [ -- 1 - 1 — i — i i i i 1 1 - 1 - 1 — i — i i i i ij.
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I I I I
Concentration, ppb
Max Daily = 29.3
Mean Daily = 0. 15
i—i—tiii 1 1—i—i—i i i i
0.10 LOO 10.00
of TimQ Concgntration ExcQQdQd
Koc:
1500
0.01
FIGURE C, 57 Region: Crop
EASTERN CORNBELT SOYBEANS
ks:
0. 1
100.00
kw:
0.05
-------
0.01
1000, 00 ^-
_Q
Q_
Q_
o
o
L
-P
c
OJ
o
c
o
LJ
O
CO
0!
"O
•r-4
O
-,-4
-P
W
OJ
Q_
100. OO.r
10.00*
1.00"
0. lO^r
0.01
0.10 1.00 10.00 100.00
i ( I (. 1 j—i—I i |-4-j ( 1 h—1—I I I I I 1 1 1 1—I 1 I I-
Concentration, ppb
Max Daily = 83.8
Mean Daily = 2.62
Duration (days)
* 1 +4
o 2 x 30
_l 1 (—(—i—f-t
1 1 1 1 I I I
0.01
FIGURE C. 58
0.10 1.00 10.00
Percent of Time ConcQntration ExceedQd
Regions
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
1500
ks;
0.01
100.00
kw:
1.0
-------
0.01
1000. 00 i—
JD
O_
O_
c 100.00-Jf
o
•i-i
-P
O
L
-P
r-
s
o
c
o
CJ
o
CO
OJ
o
•I-l
4->
c/)
OJ
Q_
10.00"
LOO-
0. 10-
0.01
0.01
0. 10
H 1 1 1—HI I !•!
1.00
H—^—i—H+- -»-H
10.00
H 1 1 I I I-H
100.00
I I I ij.
Concentration, ppb
Max Daily = 83.8
Mean Daily = 2.80
H 1 1 1—I I I I
Duration (days)
* 1 +4
o 2 x 30
-i 1—i—i—i i t i
0.10 1.00 10.00
PQrcQnt of TiiriQ ConcQntration ExcQQCJQd
H 1—i—i—i i i IBB
FIGURE C. 59 Region: Crop:
EASTERN CORNBELT SOYBEANS
Koc:
1500
100.00
ks: kw:
0.01 0.5
-------
0.01
1000.00-
_
Q_
Q_
c 100.00-
o
o
c
0)
o
c
o
o
O
0)
T3
•r-l
O
•r-t
a
a.
10.00-
1.00-
0. 10+
0.01
0. 10
H 1 1 1 1 1 1 1
1.00
10.00
Concentration, ppb
Max Daily = 83.8
Mean Daily = 3. 13
-» 1—i
100.00
< i i r
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C.60
0.10 1.00 10.00
Percent of Time Concentration Exceeded
• Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
1500
ks:
0.01
100. 00
kw:
0.05
-------
0.01
1000. 00*-
0.10
1.00
D_
CL
o
•r-t
-P
O
L
-P
C
01
o
C
o
u
O
C/)
01
"O
•1-i
o
-rH
-p
Cfl
(U
CL-
100. 00 T
IO. OO^r
1.00-
0. 10-
0.01
Concentration, ppb
Max Daily = 136.
Mean Daily = 8. 82
10.00
_j—I—[ 111 I I
100.00
1 1—I I I ••!• !•
Duration (days)
* 1 +4
o 2 x 30
H F 1 >- [ 1 I I
0.01
0.10 1.00 10.00
Percent of Time Concontration Exceeded
EASTERN CORNBELT
SOYBEANS
Koc: ks:
1500 0.001
100. 00
kw:
1.0
-------
o
I
m
Ul
0.01
1000. 00 i—
0. 10
1.00
10.00
100. 00
_Q
Q_
Q_
ft
C
O
• I*"J
•p
o
c
0)
o
c
o
LJ
C
o
"f-l
D
O
OJ
"O
o
•r-l
•P
w
0)
Q_
100. 00 1
I
10.00-
1.00;
0. 10:
0.01-
0.01
Concentration, ppb
Max Daily = 137.
Mean Daily = 9.59
Duration (days)
* 1 +4
o 2 x 30
H j 1 | |..-i-
0.10 1.00 10.00
PorcQnt of Time ConcQntration Exceeded
FIGURE C. 62
Region;
EASTERN CORNBELT
Crop:
SOYBEANS
Kocs
1500
H 1 i 1 1—I I
100. 00
ks; kw:
0. 001 0. 5
-------
o
I
en
en
0.01
1000.00*—
JD
CL
Q_
c 100.00'
o
-P
O
L
-P
C
01
o
C
o
u
C
O
•iH
-P
3
i—i
O
C/)
0)
TJ
•r-l
O
•l-l
-p
(/)
QJ
Q_
). 00"
1.00"
0. 10-
0.01
0. 10
H 1 1—t-l-M-}-
Concentration, ppb
Max Daily = 137.
Mean Daily = 11. 0
0.01
FIGURE C.63
1.00
10.00
100.00
i—«—i- i
Duration (days)
* 1 -i- 4
o 2 x 30
1 1 1-
-f 1 1—t—H-t-H
0.10 LOO 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crops
SOYBEANS
Koc:
1500
0.001
100.00
kw:
0.05
-------
0.01
100. 000*—
0. 10
.£3
Q_
Q_
-p
o
L
-P
C
0)
o
c
o
u
c
o
o
in
01
~o
•r-t
O
•r-l
-P
W
OJ
Q.
10.000.:
1.000-
0. 100-
0.010-
0.001
1.00
_j—I—I I I I I
10.00
H 1 f 1—II I I I
100.00
Concentration, ppb
Max Daily = 5. 46
Mean Daily = 0.04
H 1 1—I I I' I' I
Duration (days)
* 1 + 4
o 2 x 30
0.01
FIGURE C.64-
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
5000
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100. 000 4
JD
Q_
D_
tf 10.000"
O
D
L
o
C
0)
O
C
o
u
o
en -^
00 -P
O
CO
OJ
TJ
1.000-
0. 100-
£ 0.010 +
-P
OJ
Q_
0.001
0.10
-t — 1 I I I I I
1.00
1 - 1 — I — I — I I I I I
ConcQntration, ppb
Max Daily = 6. 47
Mean Daily = 0. 04
10.00 100.00
1 - 1 — I — I — I I I I I - 1 - 1 — I — I — I I I I
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I—III 1 1 1 1—I—f—f-f
1 1 1 1—I I I
0.10 1.00
of TimQ ConcQntration
0.01
FIGURE C. 65 RQgion: Crop:
EASTERN CORNBELT SOYBEANS
10.00
Koc: ks:
5000 0. 1
100. 00
kw:
0.5
-------
0.01
100. 000+—
0. 10
-Q
Q_
a.
c
o
O
L
±>
C
01
o
c
o
u
10. 000.r
1.000-
^ o. loo-
o
en
OJ
T)
•r-i
O
•iH
-P
0.010-
0.001
_j 1 1—I—I II I 1 1 1—I—I I I
Concentration, ppb
Max Daily = 7.67
Moan Daily = 0.05
1.00 10.00
1 1—1—I—I...J I,.,) I
100.00
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C,66
o.io i.oo 10.00
Percont of Time Concentration Excgedod
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
5000
ks:
0. 1
100.00
kw:
0.05
-------
0.01
1000.00*--
D_
D_
r 100. OO.r
-P
O
L
•P
g 10.00
c
o
u
V §
^J -rH
O -p
D
i — i
O
cn
OJ
O
•r-i
-P
M
OJ
Q_
LOO-
0. 10-
0.01
0.10
-I 1—I—I—1 I 1 I I
1.00
1 1—1 I 1 1 I [ H
10. 00
H - 1 - 1 — I I I N
100. 00
1 - 1 - 1 - 1 I I- I I.
Concentration, ppb
Max Daily = 25. 9
Mean Daily = 0.97
Duration (days)
* 1 +4
o 2 x 30
i—i
1 1 f—t—t-M-
-) 1 1—I 1 I I
0.01
FIGUREC067
0.10 1.00 10.00
PGrcont of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
5000
100.00
ks: kw:
0.01 1.0
-------
0.01
1000. 00^-
J
D_
Q_
O
•r-l
4J
O
L
4J
o
c
o
LJ
o
tn
a
13
•iH
D
w
0)
Q_
100. 00 i
10.00-::
i.oo-i-
0. 10.r
0.01
0.10 1.00
_j 1—I—i—i-i-t-i-l 1 (—I—I—^-f-f-l-J
10.00
H 1 1—i I I i .1
100.00
H i 1—t—4-fH-t
Concentration, ppb
Max Daily = 25.9
Mean Daily = 1.03
Duration (days)
* 1 +4
o 2 x 30
0.01
F I CURE C. 68
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop;
SOYBEANS
Koc:
5000
ks;
0.01
-1 i ig[
100. 00
kw;
0.5
-------
0.01
1000.00.h~
t
100.00
o
M
-p
o
c
0)
o
c
o
u
o
O
0)
O
•iH
-P
0)
01
. 00
1.00-
0. 10*
0.01
0. 10
1.00
10.00
100. 00
•+ 1 1 1 1 I I I
-1 --- 1 — I — I— <• I II
H 1 1—I—I I I I
Concentration, ppb
Max Daily = 25.9
Mean Daily = 1. 12
Duration (days)
* 1 +4
o 2 x 30
-\ 1—i—i—i i i >-
H 1 1 1 f—{--J-f
0.01
FIGURE C, 69
0.10 1.00
PQrcQnt of TirtiQ ConcQntration
10.00
Rogion:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
5000
kss
0.01
100.00
kw:
0.05
-------
0.01
1000.00-
-Q
Q_
Q_
c" 100.00
o
o
L
-P
C
OJ
o
c
o
CJ
?
-J
OJ
g
•>->
4->
D
i — i
O
CO
01
-p
•r-»
O
•l-l
4->
(0
<3i
a.
10. OOt
1.00-r
0. 10-
0.01
0. 10
1.00
-M-
10.00
I—I—I I I I I
100. 00
Concentration, ppb
Max Daily = 60. 5
Mean Daily = 4.82
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C.70
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
5000
ks:
0.001
100.00
kw:
1.0
-------
0.01
1000. 00 i—
Q_
Du
c 100.00
o
•p
D
L
-p
c
0!
O
C
o
CJ
O
tn
ai
T3
•t-i
O
•i-i
-P
0
0)
Q_
10. 00"
1.00"
0. 10-
0.01
-{ — 1
0. 10
1 I-I ..... I -
1.00
10.00
I' 'I 111
100. 00
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 60.5
Mean Daily = 5. 29
0.01
FIGURE C071
0.10
1.00 10.00
of Time Concentration Exceeded
Region;
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
5000
ks:
0.001
100. 00
kws
0.5
-------
0.01 0.10 1.00
1000. 00-i * '—' ' i i 111 1 i—i i i i i 11 1-
Q_
Q_
o
L
-P
C
OJ
o
C
o
100. 00-r
10.00-
1.00.:
o
if!
OJ
"D
•I-!
O
•«-•
-P
«>
OJ
D_
0. 10"
0.01
10.00
i—I—I-1 1 1 I
100.00
Duration (days)
* 1 +4|
o 2 x 30
Concentration,
Max Daily - 60.'5
Mean Daily = 6.02
H 1 1 1 I I I I
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
EASTERN CORNBELT
SOYBEANS
Koc:
5000
ks:
0.001
100.00
kw:
0.05
-------
0.01
100. 000|--
_
CL 10. OOOf
i
o
-p
o
L
-P
C
0)
o
C
o
n o
i
-J T3
<* QJ
DO
OJ
T3
•tH
O
-p
ro
o
a.
1.000 +
+
0.
0.010
0.001
0.10
j — j — {_l-,.l_J_l_j
I - (
1.00
i i t-t-H—
10.00
-I j—i—t- I ||[ 1 1 H
100.00
Concentration, ppb
Max Daily = 7.82
Mean Daily = 0. 18
-H—t—1—M-j—
-1 1 1—l-H-f
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C, 73
0.10 1.00 10.00
PgrcGnt of Time Concentration Exceoded
Region:
EASTERN CORNBELT
Crop:
CORN
Koc;
50
ks:
0. 1
~
t
f
i
100. 00
kw:
1.0
-------
0.01
100. 000 +—
JD
i: 10.000 i-
c
o
-p
a
L
-P
c
ffl
o
c
o
o o
I
-J "D
~J 0)
CD
a;
T5
•1-4
o
•r-l
-P
(0
0)
Q_
1. 000*
0. 100-
0. OlOi
0.001
0.10 1.00
-4- 1 1—I ) I I I 1 1 1 1—I I I I I 1- S (--
10.00
Concentration, ppb
Max Daily = 9.20
Mean Daily = 0.25
Duration (days)
* 1 -f 4
o 2 x 30
1 1 i—i—i i i
100.00
-+4-
::
4-
-i
0.01
FIGURE C,74
0.10 LOO 10.00
Percent of TimQ Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
KOC:
50
ks:
0. 1
100.00
kw:
0.5
-------
0.01
100.000*—
X
4-
_D
S: 10.000*
c
o
-p
o
L
-P
C
OS
o
c
o
o u
-J
en
TJ
OQ
0)
T3
•r-«
O
•i-i
-P
(/)
01
Q_
1.000*
0. lOOi
0.010*
0.001
•4-—-I
0.10
H—1 1 -I-H-)
1.00
1 1—I-4-I-4-I
10.00
Concentration, ppb
Max Daily = 15.2
Mean Daily = 0.37
Duration (days)
* 1 +4
o 2 x 30
-!—I I -I "I-
100.00
_, , ,—t
0.01
FIGURE C. 75
0.10 1.00 10.00
Percent of Time Concentration Exceeded
100.00
Regions
EASTERN CORNBELT
Crop:
CORN
Koc:
50
ks:
0. 1
.05
-------
0.01
1000. 00-i H
0. 10
1.00
10.00
100.00
_D
ct 100.00'
c
o
o
L
c
0)
o
c
o
o u
a;
"O
•r-l
O
0)
a.
10.00-
1.00-
0. 10-
0.01
1 1 1 1—I I I I I 1 1 1 1—I III.
Concentration, ppb
Max Daily = 28. 1
Mean Daily = 5. 33
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C. 76
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERIf CORNBELT
Crop:
CORN
Koc:
50
ks:
0.01
100. 00
kw:
1.0
-------
0.01
1000.00*—
_Q
S: loo.oo-
n
o
O3
O
D
L
•4->
C
OJ
I)
-g
m
OJ
"O
•f-H
O
•r-l
.p
0)
G»
Q_
10.00-
c? 1.00-
0. 10-
0.01
0.01
0.10
1.00
10.00
100.00
( 1 1—i—t i i i I 1 1 1—I—I Mi'.:
Concentration, ppb
Max Daily = 44. 4
Mean Daily - 7.49
Duration (days)
* 1 +4
o 2 x 30
1 - 1 - 1 — I ............ t ..... < I
1 - 1 - 1 - 1 — I I 1 I
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FI CURE C. 77 EASTE^-NBELT
KoC: ks:
50 0.01
100.00
kw;
0.5
-------
0.01
1000.00^-
o
I
oo
H
-D
t:
o
•r-H
-P
D
L.
-P
C
0)
o
c
o
CJ
"D
cu
m
OJ
O
•r-t
-P
(/)
O
CL-
100.00^
IO. 00"
I
1.00-
0. 10-
0.01
0. 10
1.00
10.00
Concentration, ppb
Max Daily = 91.2
Mean Daily = 12. 6
Duration (days)
* 1 +4
o 2 x 30
H 1 1—I I 1-
-I 1 1 1 1 1-
0.01
FIGURE C,78
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
50
H 1 H
100.00
-^t
4-
T
i
0.01
100.00
kws
0.05
-------
0.01
1000.00^-
o
I
XI
c
o
•rH
4J
o
L
-P
c
OJ
o
c
o
o
OJ
m
cu
T)
•r-l
O
•r-t
-P
(/)
OJ
100. 00.:
. 00-
1.00-
0.
0.01
0.01
0.10 1.00 10.00
_f-u 1 1—i—f i i i i I 1 (—f—i i i i i I
100. 00
_j 1—I—I I II
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 114.
Mean Daily = 42.8
_, ,
0.10 1.00 10.00
Porcont of TirtiQ Concentration ExcQeded
FIGURE C. 79
Region;
EASTERN CORNBELT
Crops
CORN
Koc:
50
0.001
100. 00
kw:
1.0
-------
00
w
JD
CL
Q_
C
O
-p
D
L
C
0!
O
C
o
"8
CO
OJ
TD
O
•r-l
-p
0)
Q_
0.01 0.10 1.00 10.00 100.00
1000.00.
100.00.
10.00-
1.00.
0, 10.
0.01-
! i iiiiii! i i iiiiii l J J i i i i i 1 i i i i i l i i
Duration (days) "
* 1 + 4 .
^ ^ o 2 x 30
;- A (6 X^— «^_^^^^ -.
' ^==^="=;^*s. '
• ^'^^e •
\-
\
\
r i
r 1
Concentration, ppb
r Max Daily =132. 1
; Mean Dai ly = 56. 5 ;
i i iitiiJ| i i i i i i i J i i iiiiiij i i j i i i i ig
t
t
i
r
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE C 80 Regions Crop: Koc: kss kw:
EASTERN CORNBELT CORN 50 0.001 0.5
-------
0.01
0.10
1.00
10.00
100.00
1UUU. UU;
JD
8: loo.oo-:
» *
C
o
•1-1
-P
o
L
f 10.00.
C :
OJ
o
C
o
0 o
OD -T-I
*" J) 1.00-
DD :
OJ
TJ
O
1 0-10:
CL :
0.01-
®"
Concentration, ppb
f Max Daily = 274.
; Mean Daily = 85.6
i InilIIITtl 1 1 Iff
«"~ ' "•" t -..-I""" |< | | t' — t 1 p - in-t.-t|=-.--.-T-. -T (•:..•....„= J— . } j
0,01 0.10
Percent of Time
FIGURE C. 81 EASTE^-=NBELT
"-T — I " t '| "• •"••••" "- t • • " i "• t • " '-t ""-'i-— 1—"| '--| | i • • - • " •• i i •• i i — t— TT-; -
"**
79 — ~~— «^_^
I!
..
HJ
« .
. .
. «
-•
it
"•"•
Duration (days)
* 1 +4 f
o 2 x 30 \[
t * I J J I I I i 1 J 1 I 1 1 1 gj
1.00 10.00 100.00
Concentration Exceeded
Crops Koc: ks: kw:
CORN 50 0.001 0.05
-------
0.01
100.000-4—
_Q
Si 10.000
c
0
Ul
-p
D
L
•P
C
0)
o
"D
0)
m
0)
~o
•t-t
o
-P
(0
OJ
Q.
1.000"
0. 100.:
0.010-
0.001
0. 10
H-H
1.00 • 10.00
i — (•— i i i I - 1 - 1 — i — i — i ii H
100.00
i — i — ii i i-
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 11.2
Mean Daily ~ 0. 36
1—i—i i i r
0.01
FIGURE C, 82
0.10 1.00 10.00
Percont of Time Concentration ExcQQded
H—i—i i i
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
500
kss
0. 1
100.00
kw:
1.0
-------
0.01
100. 0004
J3
8:
c
o
O
L
•P
C
OJ
O
m
0)
~o
•rH
O
•i-l
4J
(0
OJ
Q_
1.0004
0. 100,:
0. 010T
0.001
0.10
' - ' — ' — ' — ' ' ' ' I
1.00
' — ' — ' — ' — ' ' ' ' I
10.00
' - ' — • — • — ' ............ » ........ ' ........ '-I
100. 00
_j—I—I I 1 I ll
ConcQntration, ppb
Max Daily = 13.8
Moan Daily = 0. 47
Duration (days)
* 1 +4
o 2 x 30
-t i 1—H
0.01
FIGURE C=83
0.10
1.00 10.00
of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop;
CORN
Koc:
500
ks:
0. 1
-.
t
T
T
100.00
kw:
0.5
-------
0.01
100.000^-
0.10
_Q
CL 10.000-
oo
c
o
•l-t
-p
o
L
•p
c
cu
o
c
o
00
OJ
"O
•iH
O
•l-t
•p
(/)
0)
Q_
1.000.:
0. 100-
0.010-
0.001
1 — ^
1.00 10.00 100.00
_j_H 1 1—i—i—i ii i ! 1 1—i—i—h-i i i-I
Concentration, ppb
Max Daily =19.8
Mean Daily = 0. 64
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C, 84
0.10 1.00 10.00
PercQnt of Timo Concgntration ExcQedod
Rggion:
EASTERN CORNBELT
Crop:
CORN
Koc:
500
ks:
0. 1
100.00
kw:
0.05
-------
n
i
ca
CO
0.01
1000.00+
0. 10
1.00
10.00
100.00
_Q
B:
c
o
•H
-P
O
L
.p
C
O
c
o
u
01
QQ
OJ
o
•r-l
OJ
Q.
10.00-
1.00-
0. 10-
0.01
Concentration, opb
Max Daily = 147.
Mean Daily = 17. 2
Duration (days)
* 1 * 4
o 2 x 30
0.01
FI CURE C. 85
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
Crop:
CORN
Koc:
500
ks:
0.01
100.00
kw:
1.0
-------
0.01
1000.00^-
0. 10
LOO
10.00
100.00
-Q
CL 100. OOi
c
o
4-)
O
L
4J
C
0)
o
c
o
o o
I
00 -Q
^> QJ
CD
0)
T3
•t-4
O
•r-t
QJ
Q_
10.00,-
T
t
1.00-
::
0. 10-
0.01
0.01
Concentration, ppb
Max Daily = 214.
Daily = 23. 4
Duration (days)
* 1 +4
o 2 x 30
11 if
-t 1 1 1—H-t-
-i 1 1 1 1—I I I
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE C. 86
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
500
ks:
0.01
100.00
kw:
0.5
-------
0.01
1000. 00 ±
JD
8: 100.00'
c
0
•1-1
0. 10
1.00
10.00
100.00
D
L
•P
C
0)
o
c
o
o o
I
vo "O
o QJ
m
T3
•iH
O
OJ
Q-
10. 00-i
1.00"
0. 10-
0.01
Concentration, ppb
Max Daily = 3oo.
Mean Daily = 36. 2
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C«87
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crops
CORN
Koc:
500
ks:
0.01
•+-*-*•*
100.00
kw:
0.05
-------
0.01 0. 10 1.00
1000.00 i +—'—' i ' I-+-H 1 •"—i i i i i 11—
10.00
100.00
_Q
S: 100.00
c
o
D
L
-P
C
0)
o
? I
H 0)
m
0)
TD
o
OJ
Q_
10. OO.r
l.OO.r
0. 10-r
0.01
ConcQntration. ppb
Max Daily = 344.
Maori Daily =• 108.
0.01
FIGURE C 88
1—i—t—i i i i I
1.00
Duration (days)
* 1 +4
o 2 x 30
n
H 1 1 1—I I I !•
0.10 1.00 10.00
PQrcQnt of TimQ ConcQntration ExcQQdQd
Rogion: '
EASTERN CORNBELT
Crop:
CORN
Koc:
500
100.00
ks: kws
0.001 1.0
-------
O
-Q
Q_
D_
C
O
•r-l
-P
O
L
-P
C
GJ
O
n
o
o
OJ
m
OJ
"D
O
cu
Q-
0.01 0.10
1000.00^
100.00^
"
10.00-:
•
fir — _
•
.
T
1 00-
4-
0. 10-
0.01-
ConcQntration, ppb
f Max Daily = 518.
; Mean Daily = 141.
i i 1 1 ! J I 1 1 I 1 1 1 f
— r — • 1 1 t r~" t i r^ 1 . ,f ._. t -j j
0.01 0.10
Percent of Time
FTGURF C 89 Region;
^ " EASTERN CORNBELT
1.00 10.00 100.00
till f r i t i l i i 1 * * j . » . * f i 1
— j — f *n | ' « « • "i"-1111 •••' • - • | ' »""• — •«-• I •' J * - *r* 1" " 1 — r" r I -|— ..— — |- f *H~y. -f "-I-'! -f "j™
''^ ~~-*=*fc^ ^
""^^^fe-^
"^^^::
s^:
i '
C]
,,
it
- ;
T
t
_ „
"•
--
".
..
Duration (days)
* 1 +4 I
o 2 x 30 I
f i r f i if iiitiili f i i I J i i t
t 1 j — j 1 " " — i — i t — "i — i l ) | — — 1 1 i i t l l r^
1.00 10.00 100.00
Concentration Exceeded
Crop: KOCJ ks: kw;
CORN 500 0.001 0.5
-------
0.
1000.00-
01 0.10 1.00 10.00 100
: ' ' ' ' "M| ' ' ' ' ""^— W ' ' ' "M| ' ' ' ' "":
t ~BU H
.00
t 8— --— -^_ +
T ^ ^^ j
-Q t ^*V
CL-
OU 100.00^
c
o
^a.--
1 \
: . 1
3 1 1
O !
L
^ 10.00-
C :
0)
o
c
o
9 o
i
kO -g
- i
w CD 1.00^ -
QQ ± :
J 1
T3
O
1 6.10-
Q_
n m -
.
Concentration, ppb , Duration (days)
: Max Daily = 972. . # i +4 :
: Mean DailX = 205" o 2 x 30 ''-
•
« 1 ^-4- 1 1 *~~4— i — J~4 _J_____4 i 1 i_J — l — i_J _ 1_™ 1_ i i,.,^|-.~ -4 — 4 — (-4 — — £ ^^ ( 1 |,™a_-»J — f_J_
1
\
s-
,
0.01
FIGURE C.90
0.10 . 1.00 10.00
PercQnt of TimQ ConcQntration ExceQded
Rogion:
EASTERN CORNBELT
Crop;
CORN
Koc;
500
0.001
100. 00
kw:
0.05
-------
0.01 0.10
100. 000 "i --- ' - ' — ' — *• '••> *-i"| - •
1.00
10.00
100.00
10. 000"
C
o
•!"H
-p
o
L
C
0)
o
c
o
O LJ
I
QQ
OJ
TD
•i-t
O
•t-H
-P
(/)
0)
Q_
1.000-r
0. 100-
0.
0.001
1 - 1 — i — t- !•
1 - 1 - 1 — t- i— n-t-
Concentration, ppb
Max Daily = 11.6
Mgan Daily - 0.37
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C. 91
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Kocs
1500
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100.000^-
JD
8: 10.000'
c
o
.p
o
L
•P
C
01
o
c
o
o o
I
<£> "O
<-n Q)
m
01
T>
•I-l
o
•I-l
.p
(/)
01
Q_
l.OOO.r
0. 100-::
0. 010,r
0.001
0.01
0.10
1.00
' — '
ConcQntrotion, ppb
Max Daily = 14.8
Mean Daily = 0. 46
10.00
i i 1 1
100.00
1 - 1- — i — i — i
Duration (days)
* 1 +4
o 2 x 30
-i 1—i—i—i i i i
H 1 1 1—I 1 I I
•I 1 1 1- I I I I
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
H 1—I I I I-
FIGURE C092
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
1500
ks:
0. 1
100.00
kw:
0.5
-------
0.01
100. 000 "i
10. OOO.r
n
i
c
o
'r4
-p
o
L
4J
C
0!
O
C
01
QD
OJ
O
•i-4
+J
«
0)
Q_
1.000-
0. 100-r
0.010-
0.001
0.10
1.00
- ..... i ...... H - 1
10.00
I 1
100.00
H—i—i i ..(.i.
Concentration, ppb
Max Daily = 2u.4
Mean Daily = 0. 60
Duration (days)
* 1 +4
o 2 x 30
.+4-1 H
0.01
F I CURE C. 93
0.10
1.00 10.00
of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
1500
ks;
0. 1
100. 00
kw:
0.05
-------
_Q
o_
O_
ft
C
o
•i-H
-P
o
L
-P
C
01
o
C
0
n u
i
-J 01
QQ
0)
"D
•i-H
0
•i-H
W
01
Q_
0.01 0.10 1.00 10.00
1000.00-
•
;
100.00!
10.00-
1.00-
0. 10:
0.01-
, . | , , ,,.,., i t . t i i i i t i . i <
• | 1 1 1 1 — t — | — | — j 1 f 1 f f — 1 — 1 — t — I ~— — i i ( r — i — 1 — 1 — i 1 1 1 1~
:
r
;
- *~^_
"
: ^^^
: ~~^::^»^
^*^*^
~"^8b^.^
^^.-Sv^
\^
^5
Concentration pnb Duration (days)
: Max Daily = 212. * ^ + 74
i Mean Daily = 24.6 o 2 x 30
.-J-jT-r- 1 1 1 l^rl | 1 f 1 I 1 I I 1— f ._| I t 1 1 lilt ^J _— r 1 _ _ t -. --. — 1-" •
1 I I I it — t | I I I j— . -.f.- ..| | | | t r I l l tit] r •••-•] — — •— j— ---j...
0.01 0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE C 94 Regions Crop: Koc: ks:
EASTERN CORNBELT CORN 1500 0.01
100.00
~:'-
:.
--
•'•
*i~
t
i
^^
;» T
jfc T
\J'
»:
\ •
n
t
f
1
-r
••
1 1 1 [L -
1 II T^
100.00
kw:
1.0
-------
0.
1000. 00 1
J3
o~ 100.00-
•
* *
| :
D
-P 10. OOi
u :
o
o o
1
S "8 LOO-
CD :
QJ ;
•1-1
O
•I—*
® 0. 10-
QJ :
Q_ ;
0.01-
0.
01 0.10 1.00 10.00 100
f f r I I I ilmllj f ,t 1 — r 1 I 1 |l II I II f >ln,. t ,.!,. Inn. t- 1 [l t n f ii.il I»» 1 .nil II 1 I
: :
w -J
J
: 3
" ^"^^^ )
! ^^"^^^ ;
16 -
1 \
: • 1
Cpncontration. ppb Duration (days)
t Max Daily = 289. * | + 74 :
: Mean Daily = 32.3 0 2 x 30 :
\ { I ! 1 I i 1 I i i \\l\ll 1 I Il'iltll I I flfEl!
01 0.10 1.00 10.00 100
Percent of Time Concentration Exceeded
FIGURE C 95 Region: Crop: Koc: ks: kw
EASTERN CORNBELT CORN 1500 0.01 0.
-------
_D
Q_
Q_
*
C
O
-P
O
.p
C
Ql
O
C
o
0 U
1
>£! "O
^0 Ql
CD
01
•rH
O
•rH
-P
OJ
CL,
0.01 0.10 - 1.00 10.00
1000.00-
100. 00 1
•
10.00-:
•
1.00^
0. 10-:
0.01-1
>i I t I i t i I 1 i I I I I t I 1 I t I J J ( tin 1 1 11 ml i I
"' — 'I'" """I"" ) '• »f |,..-f....f~ ——• — - • ' 1 J | — - -- J -J J ) --J (-• |--i"*=-™ii. -•• . - mf-T. L_nr — rrj::::|:::==M L- | -_-rr_.^::,^^ f IT! J 1 I T" t"
: r ~~8^^.
^^"^*"*"--^r^-*^
• •^™**^
^^
: ^^
~%
Concentration, ppb Duration (days)
: Max Daily = 433. # ± + 74
; Mean Daily = 46.4 o 2 x 30
i liil'Ftltt t 1 ffftltl t f I f t I 1 f 1 I ! If
"'""" " - •- f" - 1 »--l-l-|-- f— •— .^.—-^--^- f— — ' , i --- _-_-lIiJJ-J--=--j-- I-VT«|n«l f~""f— •f~'| J ==--.--* JJ „ I - ' t I 1 f 1 * if I t t 1
0.01 . 0. 10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE C- 96 Region; Crop Koci ks:
EASTERN CORNBELT CORN 1500 ' 0.01
100.00
tiii
t --"-f" - i™ ~
f
-r
| V
t
1 :
.
] r
'
'
in
1
4-
4-
f
t
-•
-r
--
-•
i t ,1 i It M
J 1 [ I1""
100. 00
kw:
0.05
-------
0.01
1000. 00
JD
o
•iH
-p
o
L
•P
C
0)
o
c
o
o o
S o>
0 QQ
OJ
TJ
O
•1-1
4J
w
OJ
a.
100.00-:
IO. 00±
1.00 +
0. 10-:r
0.01
0.10
1.00
10.00
100. 00
Concentration, ppb
Max Daily = 620.
Mean Daily = 192.
( - 1 — | ..... {. .
Duration (days)
* 1 +4
o 2 x 30
1 - 1 - 1 - 1 — I I I
0.01
FIGURE C 97
0.10 1.00 10.00
Percent of Timo Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
CORN
Koc:
1500
ks:
0.001
100.00
kw:
1.0
-------
o
1
H
O
H
-D
p
O_
E
O
-P
O
-P
E
OJ
O
E
O
O
"O
0!
CD
0)
TJ
O
•I—I
|m)
OJ
Q_
0.01 0.10 1.00 10.00 100.00
1000.00-;
100. 00 -
10. OOi
1.00-
0. ICh
0.01-
' » * i t i i t 1. f i ftiiiil i i ' i i t f i 1 » i 'iiiti
1 1%^==*==*!=*====_ ;
: ^^^^-^ :
\
^ 1
s
; (
1
Concentration, ppb Duration (days)
: Max Daily = 885. # j +4 :
; Mean Daily = 246. o 2 x 30 . -
- .-n -Tnn..i.m-miT- ..T-UJI - - - - 1 - .n- .1 n - t-.n 4==^ 1 ' turn-. v=i=--t - i - - 1 - j . i •- .". .j-iiiliii;.-..v- j JL-------.-™-. j-t-r T-- ii.li.i.v — -I -'(i if n v ... - f -( 1 1 - I T. . mill... n MM...- jiiiii ij'-- |— TIITJII || - 1 jf 1 1 1 1- - - -1 iiiiiiniir -|- IHT || It |- 1 --»-
t "•"•"'-•» j-|" f ' r* - T i t i j '"""• »•»"«--=="—-—- f-^ - - i1 — - j - " i i r "i i 1 i " i I " i T I t I i * ' i * 1 I
1"
-
|
1
I
i
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE C 98 Region; Crops Kocs ks? kw:
EASTERN CORNBELT CORN 1500 0.001 0.5
-------
JD
n
i_i_
a
C
o
•t-1
D
(_
-P
n
0)
0
c
o
0 U
1
H -Q
o QJ
^ CD
01
-a
T~i
0
•i~H
-P
W
01
^
Q_
0.01 0.10 1.00
10000.0-
1000.0.
100. 0-:
10.0-
1.0-
0. 1-
A ^
" ^Rfc_
: ^^
ConcQntration, ppb
: Max Daily = 1428
Mean Daily = 342.
i i i i i i i i j i i i i i i t i | i i i
0.01 0.10 1.00
PQrcgnt of TimQ ConcQntration 1
FIGURE C 99 RQgion: Crop:
riuuKL unyy EASTERN CORNBELT CORN
10.00 100.00
" •
-r
/"JS""^..^^ _
j!ft "
\
%
*
1
9
I
«
T
j
• *
• •
Duration (days)
* 1 +4 ii
o 2 x 30 ::
t
IJlllj 1 1 Illll!
10.00 100.00
iXCQQdQd
Koc: ks: kw:
1500 0.001 0.05
-------
0.01
100. 000 +—
0. 10
1.00
_Q
8: 10.000
c
o
n
i
-p
D
L
-P
C
0)
o
C
o
u
TJ
a)
CD
0)
TD
•i-i
O
•«-<
-P
(/)
OJ
Q_
1.000"
0. 100.r
0.010.:
0.001
H - 1 - i - 1 — I I I
10.00
1—I—I 1 I I I
100. 00
H 1 1—I 1 I I
Concentration, ppb
Max Daily = 12. 3
Mean Daily = 0.33
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C. 100
0.10 1.00 10.00
PQrcQnt of TimQ-Concentration Exceeded
Crop:
CORN
Koc;
5000
ks:
0. 1
100. 00
1.0
-------
o
I
H
O
0.01
100. 000 -i
0.10
1.00
10.00
_D
3: 10.000
c
o
•p
o
L
•P
c
o
o
c
o
u
m
OJ
"D
.,_!
O
-r-l
•P
C/)
OJ
1.000-
0. lOO.r
0.010-
0.001
Concentration, ppb
Max Daily = 14.7
Mean Daily = 0. 40
Duration (days)
* 1 +4
o 2 x 30
< H
0.01
FIGURE C. 101
0.10 1.00 10.00
Percent of Time Concontration Exceeded
Crop:
CORN
Koc:
5000
ks:
0. 1
100.00
i 1 1.
100.00
kw:
0.5
-------
0.01
100.000^—
0. 10
J3
ct 10.000'
c
o
n
i
H
O
-P
O
L
-P
C
OJ
o
c
o
LJ
01
CD
OJ
"D
•1-1
O
•r-l
4->
0)
OJ
Q_
1.000
0. 100"
0.010^:
0.001
1.00
-+-H i-
10.00 100.00
-1 1 1 I I 1——1 1—I I I i
Concentration, ppb
Max Daily = 18. 0
Mean Daily = 0.49
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C,102
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crops
CORN
Koc:
5000
0. 1
100. 00
kw:
0.05
-------
0.01
1000. OQi—
JQ
8: 100.00'
c
o
o
I
4J
O
L
4}
C
®
O
c
o
u
0)
00
CD
"U
•r-l
o
•r-l
4J
(0
0)
Q_
10. 00"
1.00-
0. 10,:
0.01
0.10
_»_H—
1.00
_! 1—I-I I I I I
10.00
_) 1—f—II I I I I
100. 00
t—I—1 1 1 I 11
Concentration, ppb
Max Daily = 24o.
Mean Daily = 32. 6
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C 103
Mburtt LO lud
0.10 1.00 10.00
PercQnt of Timo ConcQntration ExceQdQd
Region:
EASTERNy CORNBELT
Crop:
CORN
KOC;
5000
kss
0.01
100.00
kw:
1.0
-------
0.01
1000. 00 +-
-
C
o
••H
•P
O
L
-P
C
Q)
O
C
o
0 O
I
(_i -p
o QJ
-J OQ
0)
O
•rH
-P
to
OJ
Q_
100. 00-
10.00-
1.00-
0.
0.01
0.10
1.00
10.00
' i i
_l I 1—(—I I I I
_, , ,
Concentration, ppb
Max Daily = 307.
Mean Daily = 41.2
_j , ,_
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C.I04
0.10 1.00 10.00
PorcQnt of TimQ Concontration Excogded
Crop:
CORN
Koc:
5000
ksi
0.01
100.00
100.00
kws
0.5
-------
0.01
1000. OOi '—>
_o
§: 100.00
c
o
o
I
o
CD
-P
C
0)
o
c
o
LJ
"D
a)
m
01
TJ
•rH
O
•>H
-P
0)
Q_
10.00
1.00-
0. 10-
0.01
0.10
1.00
10.00
Concentration, ppb
Max Daily = 398.
Mean Daily = 54.4
Duration (days)
* 1 + '4
o 2 x 30
-) 1 ! 1—I I I I
-» 1-
11(1
_) 1—|—| | |
H 1 1-
0.01
FIGURE C, 105
0.10 1.00 10.00
Percent of Time Concentration Exceeded
RQgion:
EASTERN CORNBELT
Crop:
Koc:
ks:
0.01
100.00
i i i
100. 00
kw:
0.05
-------
n
i
JD
p
Q_
It
c
o
-p
o
L
.p
c
01
o
c
o
m
OS
• l-i
o
'1 — 1
-p
m
CL
0.01
10000.0:
1000.0-
100.0-:
10.0-
l.Qi
0. 1-
0.01
FIGURE C.
0.10 1.00 10.00 100.00
. i f * f f i i i i i ? i i i 1 I i i i i i I i ' f I ifiiif
:
"^ ?r===*====i==^«5=s=^ 1
^^aS===Sa**"-5»^^ "
^^^81 -
1ft -
\
\
\
1
Concentration, ppb Duration (days) ,
Max Daily = 1153 * 1 * 4 :
Mean Daily = 423. o 2 x 30 :
1 i iftlll I i tllllll f 1 Iliffll I I Illlll -'t
• i ~~i i f til t j ^ l — i I l l f li] ~" * { -- • l l l l I t r^ I r l l l ! 1 rf
1
-
r
t
i
r
0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
1QR Region: Crop: Koc: ks: kw:
EASTERN CORNBELT CORN 5000 0.001 1.0
-------
o
1
H
H
O
_Q
O_
Q_
C
O
•p
o
L
•P
C
a;
o
C
o
a
~o
OJ
CD
0)
-o
O
.J— I
0)
Q_
0.01 0.10 1.00 10.00 100.00
10000.0^
1000.0.
100.0;
10. 0-
1.0;
n 1 -
: :
•
-
T
t
®~ — -flklf_-
: ^*^=*=^^_ 1
^^-~^.
^x*
JH "
1
r 1
f 1
Concentration, ppb Duration (days) ,
Max Daily = 1460 * 1 + 4 :
Mean Daily = 534. o 2 K 30 '
1 1 1 i. — i — i — i t- I : 1 1 1 -4. — t — 1 — 1 t- l~. 1 . *. 1 1— 4— 'J — 1-i— t— . -• ^-— — — «.-. 1 1 4 — 1 — 1— M
f
r
r
i-
0.01
FIGURE C. 107
0.10 1.00 10.00
Percont of Time Concentration Exceeded
Crop:
CORN
Koc;
100.00
ks: kws
0. 001 0. 5
-------
0.01 0.10 1.00 10.00 100.00
10000. 0"i ' ' '—'—' ' ' ' I ' ' '—'—' ' ' H ' ' '—'—|l"i" ' H ' 1 1—I—I ' I '-:
-D
8:
n
o
o
L
4-J
c
OJ
o
c
0
o u
I
100.0-
- . 10. 0±
0)
TJ
O
«i-i
-P
to
a
Q.
1.0-r
0. 1
Concentration, ppb
Max Daily = 2UH4
Mean Daily = 708.
Duration (days)
* 1 +4
o 2 x 30
_( H 1 1—| III 1 1 1 1—l-t I t'i 1 J- 1 1—I I 1 I I 1 1 1 1—I • ( I
0.01
FIGURE C. 108
0.10 1.00 10.00
Percgnt of Time Concentration Exceeded
Crop:
CORN
Koc:
5000
100. 00
ks; Nws
0.001 0.05
-------
0.01
100. 000 ^r-
O
c
o
•iH
P
D
L
C
OJ
o
c
o
(_)
10. 000-r
OJ
~O
•i-i
O
•r*
•P
(/)
01
Q_
1.000-
^ Qi 0. 100-r
0.010-
0.001
0.01
0. 10
«—• i i
1.00
_j—i i i 11 [—
10.00 100.00
I 1 1- I I'I I 1 1—I—I I-1 'II.
ConcQntration, ppb
Max Daily - 15.5
Mean Daily = 0. 25
Duration (days)
#1 * 4
o 2 x 30
1 1 !—I lit
i 1 1 1—V I- I i
1 * 1 1 1—I i I )•
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE C. 109 Region: Crop Koc:
EASTERN CORNBELT SOYBEANS 50
ks:
0. 1
100. 00
kwi
1.0
-------
0.01
100. OOOi
0.10
1.00
JD
S: 10.000
c
o
•P
o
L
-P
C
01
o
c
o
o u
I
I- -o
I-1 01
<-> CD
0)
O
0)
CL
1.000"
0. 100-r
0.010-
0.001
0.01
Concentration, ppb
Max Daily = 24. 4
Mean Daily « 0.36
10.00 100.00
_l 1—I—I I I I I 1 1 1—I—1 I i t
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE C.I 10 Region! Crop: Koc:
EASTERN CORNBELT SOYBEANS 50
ks:
0. 1
100.00
kws
0.5
-------
0.01 0.10 1.00 10.00 100.00
100. OOO'i ' ' '—' "I ' ' ' I 1 1 1—I I--1 1 I 1 1 f 1—I I I i l[ 1 ! 1—I -I--I--M-r
XI
OL 10.000'
c
o
O
L
4->
C
01
o
c
o
n o
,_, ^
Qi
TD
•H
O
•r-i
4-5
W
0)
CL
1.000"
0. 100-
0.010^:
0.001
0.01
Concentrat i on,
Max Daily = 47.'8
Mean Daily = 0.59
Duration (days)
* 1 +4
o 2 x 30
1—i—i t i
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
FIGURE C. Ill Region. Crop Koc:
EASTERN CORNBELT SOYBEANS 50
ks:
0. 1
100.00
kw:
0.05
-------
o
I
(Jl
-Q
CL
Q.
a
c
o
-p
D
£_
•P
C
01
o
c
o
CJ
~D
at
CD
01
TJ
•rH
O
.P
0
OI
a.
0.01 0.10 1.00 10.00 100.00
1000. 00-
100.00-
10.00;
1.00-
0. 10-
0.01-
, | I 1 1 I 1 I 1 1 1 1 1 1 1 1 ! 1 1 I 1 I 1 I I 1 1 1 1 1 1 1 1 1 1
I 1 1 1 I1 1 It J' 1 1 1 1 1 1 1 1 | I I 1 1 1 I 1 i | 1 1 1 1 1 1 M.
IT
. -*.
J-
Duration (days)
* 1 +4
o 2 x 30 _
• >e-— ii>-^^ •
'^~~~^^-=:^52~5.:.:..^^
^^~^^^SS55=S!SB.^
^^^^*«3ft^^^
7 ^^"^*~T8b^- ~
; ^/v8^v
^^^*is»
?BL
^V
^v^
3ft
^\
r \-
: }
Concentration, ppb
" Max Daily = 4B. 5 1
; Mean Daily - 6. 60 :
t * i i i i r i t - mi tiffttfif i i tifilil I f t t I . I i LI
irniigiiiuiuiiuiiuii. i .r i ll T •• ,ii..|. ._um_- jj. _ r | , 1 , 1 1 ,,|| « ^ < ,., _.,.<| J | | |m«*,,n,t „.— ~™,.|..,J^— i .. i.,. ..n.,|,i , , 1- . | • if « II M 1 } f r| jnnif n.mi. J.-CL. IDIIIII | U-J— iui| J J__ -..-.. .J..I.LI J.- -..-J J .| J ..UIIIJI-TJ.-J _|in...n nnnnann-jiL| _J__..L.III| .....J | J.....r=|iiiu.J«
r
.
r
r
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE C 112 Regions Crops Kocs ks: kws
EASTERN CORNBELT SOYBEANS 50 0.01 1.0
-------
0.01
1000. 004
-
8: 100.00
c
o
0
I
H
D
L
-P
C
0)
o
C
o
CJ
GO
0)
TJ
•iH
O
-iH
-P
0)
Q)
Q_
10.00-
1.00-
0.10-
0.01
0.01
0.10
' — ' — ' — ' ' ' ' I
1.00
10.00
Concentration, ppb
Max Daily = 72.7
Mean Daily = 9.38
100.00
i i ii
Duration (days)
* 1 +4
o 2 x 30
1 - 1 — i — i — i
0.10 1.00 10.00
Percent of Time Concentration Exceeded
" L EASTERN CORNBELT SOYBEANS
Koc: ks:
50 0. 01
100.00
kw:
0. 5
-------
0.01
1000. OO^fc - ' - '
_Q
ol 100.00
c
o
-p
D
L
•p
c
OJ
o
c
o
m
cu
T3
•rH
O
•r-t
-P
(/)
OJ
. 00-
LOO-
0. 10-
0.01
0.10
1.00
10.00
100.00
H - 1
1 — (-.
( - 1 - ) - i — I I M .....
1 - 1 - i - 1 — 1 1 I- I
ConcQntration, ppb
Max Daily = 150.
Mean Daily = 16.2
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C. 114
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region;
EASTERN CORNBELT
Crop
SOYBEANS
Koc:
50
0.01
100.00
kws
0.05
-------
0.01
0.10
1.00
10.00
100.00
o
1 .
H
H
CO
JD
n
Q_
A
C
O
-p
o
L
C
01
o
C
o
o
T3
DQ
o;
"D
*iHI
O
*r~i
4->
(0
0)
Q-
IUUU. UU;
100.00-
10.00^
1.00-:
0. 10i
0.01-
I'" ' " 1 " "'" 1 1 " " 1 " ' " 1 T" l""""l | • -" — | | t - 1 ' - | !— T-r-y • - - — - — - |"— — ,.,....—T— -T ^ , , , | — . - - „ , • .!,!..!- ,„..,,,-—, ,. ..-.., ,„„.,.„ 1 , ( , , ..^
I Duration (days) '-
* 1 + 4
o 2 x 30
: ^"^?=§=!a?jS*^ :
^®a^^.
i^__
ik •
^V
• m •
A
\
f 1
Concentration, (Dpb
" Max Daily - Ii2. <• ~:
: Mean Daily = 43.7 :
" i i iiiit'"il i i tfffffl t i i j i i i i I l i iiitii
r
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE C 115 Region; Crop: Koc: ks: kw:
EASTERN CORNBELT SOYBEANS 50 0.001 1.0
-------
0.01
1000.00*—
JD
8: 100.00
c
o
•p
o
•P
c
0)
o
c
o
0 U
I
E *®
^ CD
01
TD
O
0!
CL-
IO. 00-r
1.00"
0. 10-
0.01
0.01
0.10 ' 1.00
-I 1—I—I—I I.) 1.1 1 t—1—I—I. I III
10.00 100.00
_)—I—I—I I I I I 1 1—I—I—t—t-i-
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 148.
Mean Daily = 58.3
_j {—|—j—t r- r i
-i 1 1 i—I" I I 1-
0.10 1.00 10.00
Percent of Time Concentration Exceeded
EASTERN CORNBELT SOYBEANS
Koc:
50
ks:
0.001
100.00
kw:
0.5
-------
100.00
-P
c
Q)
O
C
o
o o
H "O
0 QQ
Q)
T)
•!-)
O
•rH
-P
(I)
0)
Q.
8: 100.00
c
o
-P
o
10. OO.r
1.00-
0. 10-
0.01
Concentration, ppb
Max Daily = 331.
Mean Daily = 90.8
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I I I I I 1 1 1 1—I I I I I 1 1 1 1—I I I I 1 1 1 H-
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
100.00
EASTERN CORNBELT SOYBEANS
Koc:
50
ks: kw:
0. 001 0. 05
-------
0.01
100.000*—
0. 10
1.00
CL 10. OOOf
o
I
H1
to
c
o
•I-l
-p
a
L
-p
c
0)
o
c
o
TD
0)
m
0)
O
• I-)
-p
w
OJ
Q_
1.000"
0. 100-t
0.
0.001
_) (_
-4--M--
Concentration, ppb
Max Daily = 35. 3
Mean Daily = 0.53
10.00
-+—I—H-l
100.00
-4—1—H--J—(—1-
Duration (days)
* 1 +4 i
o 2 x 30 '
0.01
FIGURE C.118
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region;
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
500
kss
0. 1
100. 00
kw:
1.0
-------
0.01
100.000*—
0.10
JD
c
o
•1-1
-p
o
L
•P
C
0)
o
n
o
o u
i
H ~O
NJ Q)
w m
QJ
O
•.-i
•P
to
OJ
Q_
10.000-
l.OOOf
0. 100"
0.010-
0.001
1.00
i — f — I -l-l-l-l I -
10.00 100.00
1 1 1—I I I I-I 1 1 1 1— |-)-l-t-
Concentration, ppb
Max Dai ly = 48. 0
Mean Daily = 0.69
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C. 119
0.10 LOO 10.00
Percont of Time Concentration Exceeded
fi—i—i—i—i 11
Region:
EASTERN CORNBELT
Crop
SOYBEANS
Kocs
500
ks:
0. 1
100.00
kw:
0.5
-------
0.01
100.000^-
0. 10
-
8: 10.000
c
o
-p
o
{_
-p
c
OJ
o
c
o
n o
i
H T3
to gj
w m
QJ
U
*t-i
-P
(/)
OJ
Q_
l.OOOi
0. 100"
0.010-
0.001
1.00 10.00 100.00
i I" I I [ 1 1 1 1—III I I 1 1 1 1—1- 111.
Duration (days)
* 1 4-4
o 2 x 30
Concentration, ppb
Max Daily = 68. 6
Moan Daily = 0. 96
_{ 1 1—I—i—I'll 1— 1 1—I—I—i t I 1 1 1—1—I—I—I—t
-+—•!—I i II
0.01
0.10 1.00 10.00
PQrcent of TimQ Concgntration Excoeded
EASTERN CORNBELT SOYBEANS 500 "
kss
0. 1
100. 00
kws
0.05
-------
0.01 0.10 1.00 10.00 100.00
1000. 00+— —' '—'—* i-i-'-'H 1 1—i—!• i-i i-H 1 1—i—i- 'i'-M 11 1-—i—i—i i • i -i-i-jr
_D
8: 100.00
c
o
o
*•
-p
o
L
C
OJ
O
0!
m
0!
T3
•f-HI
O
•r-t
-P
tt
0)
Q_
10.00.:
0. ID-
t
0.01
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 196.
Mean Daily = 20.2
-i 1 i i—1—M-l«
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE C. 121 Region; Crop
EASTERN CORNBELT SOYBEANS
Koc:
500
ks:
0.01
100.00
kw:
1.0
-------
0.01
1000. 00-
o
I
_o
c
o
o
L
4->
c
CD
o
c
o
u
0)
QQ
OJ
"O
-1-4
o
0
a
Q_
100. OQ^r
10.00.:
1.00"
0. 10-
0.01
0. 10
I I I 1 I
1.00 10.00 100.00
_, 1—[.,]„ ) i I , , , !—1| i [I 1 , j 1—( .|. ,) t-
Concentration, ppb
Max Daily = 284.
Mgan Daily = 27. 5
Duration (days)
* 1 +4
o 2 x 30
_, ,
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
EASTERN CORNBELT
SOYBEANS
Koc:
500
kss
0.01
tr
100.00
kw:
0.5
-------
0.01 0.10
1000. OOi 1 '—' i i i 11| H
_Q
S: 100.00
c
o
o
o
L
•P
C
0>
o
c
o
TJ
OJ
QQ
OJ
O
W
OJ
CL
10.00-
1.00-
0. 10,r
0.01
1.00
i—i i i 111—
10. 00 100. 00
-t—I—1 1 I I I 1 1—1—I I I I ll
Duration (days)
* 1 +4
o 2 x 30
Conc9ntration, ppb
Max Daily = 488.
M9an Daily = 43.0
H 1 1 1—I I I I 1 1 1 1—I I I I I 1 1 1 1—I I I I I 1 1 1 1—I I I I
0.01
0.10 1.00 10.00
PQrcQnt of TimQ Concentration
EASTERN CORNBELT SOYBEANS
Koc:
500
ks:
0.01
100.00
kw:
0.05
-------
0.01
1000. 00 -i
o
I
H
NJ
JQ
c
'O
•r-<
-P
o
L
-P
C
OJ
o
c
o
u
QJ
CD
OJ
T)
•l-i
o
•rH
-P
0)
0)
Q_
100. 00.r
10.00.:
l.OO.r
0.
0.01
0.01
0.10
1.00
' - ' — '
10.00
^—i—i—i i i i I
100.00
H 1 1—I t-i i-
Concentration, ppb
Max Daily = 404.
Mean Daily = 109.
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of "lime ConcQntration Exceeded
100.00
FIGURE C 124 Region: Crop: Koc; ks; kws
EASTERN CORNBELT SOYBEANS 500 0.001 1.0
-------
0.01
1000. 00-i
0. 10
1.00
S:
c
o
•iH
-p
0
L
-P
C
o
c
o
O LJ
I
. OOi
1.00-
O
• r-<
-P
0)
OJ
0. 10-
0.01
H - 1 I I I I [
1 - 1 — 1 — I I I I I - 1-
10.00 100.00
-I—I—I—<-l 1 I I 1 1—I—l-l III'
Concentration, ppb
Max Daily = 618.
Moan Daily = 143.
Duration (days)
* 1 +4
o 2 x 30
H 1 1
H 1 1 1—I I I I 1 ) 1 1—I I I I I 1 1 1 1—I I I !•
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
EASTERN CORNBELT SOYBEANS
KoC:
500
100.00
ks: kw:
0.001 0.5
-------
o
1
H
to
UD
0.01 0.10 1.00 10.00 100.00
10000. 0-
-O.
n_
Q- 1000. 0-
1 . i , . 1 1 1 1 Illllil 1 1 tll!li[ ! t l!(!il
,. I 1 1 -
r
1
T
I ^ * — %. -
» T "SL
c t ^~---*ifc^
.2 i ^»— ^ ^_
-p
o
£_
-p 100.0-
C :
CU
o
c
o
o
T>
a) 10.0,
CD :
OJ
TJ ;
o
1 1.0,
CU :
Q_
0. 1-
^'^m.
^v
^v
Ifc-
XJR
'• »
Ti
i
!
r 1
r. . . . , Duration (days)
Concentration, ppb 1 ' , -
- Max Daily =1159 9 -an :
; Moan Daily =211. o ^ x du .
t i i iiiiitf t ( i )i[([f r i i ftiiilin " i i i i 1 E i i
I I j i i T^ r^ | I t j| r I r^ j ri:in-=v-==^iv j — ;TTTV=;;V;T v T — ~t r^ j~— j ri — j, • «, •• •-. == ^ t"™"" t { — j j...,^—
•
J
r
-
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE C 126 Region: Crop: Koc: ks: kw:
EASTERN CORNBELT SOYBEANS 500 0.001 0.05
-------
0.01
100. 000 *-
0. 10
JQ
c
o
O
L
4J
c
0)
o
c
o
n o
i
H -D
t*> 0)
0 CD
01
"O
•r-l
O
•r-l
01
Q_
10.000-
1.000-
0. 100-
0.010-
0.001
_l—I—I I 111
1.00
-i ............ i • i • I-I- [
10.00
1 - 1 — i — i — i i"i 1 1
100.00
1 - 1
Concentrat i on,
Max Daily = 41.'0
Mean Daily = 0.55
Duration (days)
* 1 + 4
o 2 x 30
-i 1 1—(—i !•
1 1—i—i t I i
0.01
FIGURE C,127
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
1500
ks;
0. 1
100.00
kw:
1.0
-------
0.01
100.000^-
0. 10
1.00
_
8: 10.000+
c
o
4J
O
L
-P
C
OJ
o
c
0
n LJ
i
H1 T3
w 0)
H m
OJ
O
•1-1
-P
0
cu
Q_
1,000"
0. 100-
0.
0.001
Concentration, ppb
Max Daily = 51.7
Mean Daily = 0.69
0.01
10.00
n-H i-
100.00
I i I i-
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of "lime Concentration Exceeded
-i—i—i i i I-
EASTERN CORNBELT
SOYBEANS
Koc:
1500
ks:
0. 1
100. 00
kw:
0.5
-------
0.01
100. 000 *—
0.10
1.00
10.00
100. 00
_Q
ct 10.000
c
o
o
I
H
4J
D
L
-p
c
0!
o
c
o
u
OQ
OJ
T3
•r-l
O
•r-l
-P
(/)
CD
Q_
1.000"
0.
0.010-
0.001
Concentration, ppb
Max Daily = 70. 1
Mean Daily = 0.92
M
0.01
FIGURE C. 129
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
1500
ks:
0. 1
t—!• I I-
100.00
kw:
0.05
-------
o
1
H
U)
Co
0.01
1000. 004
_Q
c
o
-1-1
4.)
o
C
0)
o
c
o
o
"O
0>
m
TJ
•w-i
O
•1-1
.0
(/)
O
Cl-
100. OOtr
lO. QO-:
1.00-:
0. 10-
0.01
0.10
1.00
' - '
Concentration, ppb
Max Daily = 267.
Mean Daily - 27. 4
10.00 100.00
i I...M ..I 1 1—i—t—f—f-M-
Duration (days)
* 1 +4
o 2 x 30
_j 1 1—i—I 1 I I
0.01
FIGURE C. 130
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region;
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
1500
ks:
0.01
100.00
kwj
1.0
-------
0.01
1000. 00-i
8: 100.00'
c
o
-p
a
L
-P
C
01
o
c
o
O CJ
I
H -O
w a;
*=> m
a;
O
•rH
-P
-------
0.01
1000.00^-
_Q
8: 100.OQ.:
c
o
-p
O
L
-P
C
OJ
O
C
O
o u
H
us
"D
0)
CD
0!
"D
•rH
O
•«-rl
-P
(/)
0)
CL-
. 00-
1.00+
0. 10-
0.01
0. 10
1.00 10.00
I 1l-t-j- 1 1 1 1—l—)-4-f-|
100. 00
H ) 1—II -I I-
Concentration, ppb
Max Daily = 544.
Mean Daily = 52. 1
_+_ j-
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE C 132
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
1500
ks:
0.01
100. 00
kw:
0.05
-------
0.01 0.10 1.00 10.00 100.00
1000. 00-i 1—'—»•• ' i i 111 1—i—i—i i i 111 1—i—i—i i i 11 [ 1 1—i—i i i i rj.
_Q
CL 100.00
c
o
•p
o
L
c
ai
o
c
o
n u
i
H T3
U)
C^ Q0
10.00-
9> 1.00*
0)
T3
•t-i
O
(/)
0)
Q.
0. 10-
0.01
Concentration, ppb
Max Daily = 710.
Mean Daily = 188.
Duration (days)
* 1 +4
o 2 x 30
_i 1—i—i—i i i i 1 1—i—i—(iii 1 1—i—i—i i i i-
0.01
0.10 1.00 10.00
PQrcQnt of TimQ ConcQntration EXCQQCJQCJ
FIGURE C 133 RQgion: Crop:
EASTERN CORNBELT SOYBEANS
Koc:
1500
H 1 1 1 1—H-
100.00
ks: kw:
0.001 1.0
-------
o
I
M
U)
JD
p.
CL
*
C
O
P
o
L.
P
C
Qi
O
C
O
CJ
OJ
CD
OJ
TJ
O
P
0)
CL
0.01 0.10 1.00 10.00 100.00
1 nnn nn
1 UUU. UU -
: x®' fife f
:J>*-^ t
^"°^==5===j— ««. i
t ^"w:=::s:=^:*a=**=^ t
t • ^^*v T
100.00^
\
- w
IS
f
: I
1 1
1
10.00-:
(
1.00-:
0. 10-
r -r
". - "•
•
4
•t
_
: ::
:
'. ..
t
Concantration, ppb Duration (days)
f Max Daily = 1010 * \ + '4 ]f
; Mean Daily = 242. o g x 30 ::
t
•
0.01-
•
,|, * i Il'lfi f I "I lillf ! f I If'f'fl'f 1 1 1 1 ! f I i
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE C 134 Region; Crop: Koc; ks: km
EASTERN CORNBELT SOYBEANS 1500 0.001 0.5
-------
0.01
0.10
1.00
10.00
100.00
o
1
H
U)
CO
JLUUUU. UT
-Q
n
CL 1000.0-
a *
c
o
-p
0
£ 100. oi
c T
OJ t
0
c
o
LJ
~D
a 10.0-
CD :
ffl ' '
~£j
•rH
O
•rH
cu •
D_ :
0. 1-
0.01
FIGURE C,
— l i 1 1 — i — i — i i | 1 1 1 1 — i — i — i — i—] 1 i 1 1 — i — i — i — r- ] 1 1 i 1 — i — i — r-r:
•frfl
<® — *
^%_ =
^%fc-_^ j
' > ^
^"==^*^®^ :
^s§ .
A
.
v
rth
I
$
I
»
.
I
Concentration, ppb Duration (days)
Max Daily, = 1640 * 1 + 4 1
Mean Daily = 338. o 2 x 30 :
i t iiittil i i tirrtil * t iiiittl r t ttifit
---I--------I--- i i iiii t .. j ..... —.|. — j j | | t^f'j — l • I I t 1 r ill i •• i -— i i i |— j r™
0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
135 Region: Crop: Koc: ks: kw:
EASTERN CORNBELT SOYBEANS 1500 0.001 0.05
-------
0.01
100.000^-
0. 10
_a
a: 10.000'
c
o
•l-t
-p
o
L
-P
C
OJ
o
c
o
O CJ
I
CD
OJ
"O
•r-l
o
•l-l
-p
0
CD
D_
1.000-
0. 100-
0.010-
0.001
0.01
1.00
I I I I I
10.00 100.00
_j 1—I—I I I I I 1 1 I—I—I I I
Concentration, ppb
Max Daily = 44.0
Mean Daily = 0. 53
Duration (days)
#1 +4
o 2 x 30
0.10 1.00 10.00
Porcent of Time Concentration Exceeded
100.00
FIGURE C 136 Regions Crop: Koc: ks; kws
EASTERN CORNBELT SOYBEANS 5000 0.1 1.0
-------
0.01
100. OOO^i
JD
S: 10.000-
c
o
o
I
-p
o
L
-P
C
OJ
o
c
o
u
OJ
GO
Qi
"D
•rH
O
•rH
-P
0
Qi
Q_
1.000"
0. 100-
0.010-
0.001
0.01
0.10
' — i
1.00
i i 1 1 [
10.00
i 1 1 [
100.00
Concentration, ppb
Max Daily = 52.5
Mean Daily = 0. 64
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I I I I
-I 1 i 1—I I I I
1 1 1—I III
0.10
1.00 10.00
of TimQ Concgntration ExcQQdQd
-t 1 1 I 1 !•
EASTERN CORNBELT
SOYBEANS
Koc:
5000
ks:
0. 1
100.00
kws
0.5
-------
0.01
100. 000^-
0. 10
1.00
10.00
100.00
-D
CL 10.000
c
o
-p
o
L
4->
c
cu
o
c
o
O CJ
I
H -O
** cu
•- m
o
"O
•rH
O
• 1-1
-p
(/)
OJ
Q_
1.000-::
0. 100"
0. 010"
0.001
0.01
-I 1 1—I—1~. I...( I..
H 1 1—I I I I' f 1 ( 1—1- I I
_l 1—I—II II
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 64. 4
Mean Daily = 0. 79
0.10 1.00 10.00
Porcent of Time ConcQntration Exceedgd
FIGURE C 138 Region: Crop: Kocs
, ' EASTERN CORNBELT SOYBEANS 5000
ks:
0. 1
100.00
kw:
0.05
-------
n
i
H
*»
fO
0.01
1000. 00^-
_Q
8: 100.004-
c
o
-P
O
L
C
OJ
o
c
o
OJ
QQ
0)
TJ
•rH
O
OJ
Q_
10.00T
1.00-
0.
1
4-
ITT
0.10
_{—!—J—^-J-H.^.
1.00
100.00
Concentration, ppb
Max Daily = 312.
Mean Daily = 35.0
Duration
* 1
o 2
(days)
+4
x 30
0.014—
0.01
FIGURE C. 139
-H—I—H-h-f
0. 10
1.00 ' 10.00
Percent of Time Concentration Exceeded
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
Koc:
5000
ks:
0.01
100. 00
kw:
1.0
-------
0.01
1000. 00-
*"~ . ^.y-v ft*** f-\ I
o
i
U)
0. 10
-M-H -
1.00
10.00
1 1—II I 1
100. 00
f
Q.
C
O
• fm^
-P
O
L
•P
C
OJ
o
c
o
o
13
0)
00
0)
-o
.r— I
o
OJ
Q_
- iUU. UU-
10.00-:
1 ^^^ ^
^ ^^^^ -
: ^^*
\ -
\
i
: . «
1
••
1.00-
0. 10;
Concentration, ppb Duration (days)
r Max Daily = 388. * 1 +4 ]
; Mean Daily = 44.3 o 2 x 30 ;
• I . ' :
0.01-
i i i i i i ' i i i i i i 1 1
Illlllj I1 1 JtlltiJ I illlli| 1 i 1 *~t -1 T-T~^
•
i
i
„
0.01 0.10 1.00 10.00 100.00
PercQnt of Timo ConcQntration Excgedod
FIGURE C 140 Region: Crop: Hoc: ks: kw:
EASTERN CORNBELT SOYBEANS 0.01 0.5
-------
0.01 0.10 1.00 10.00 100.00
JD
n
D_
C
O
•rH
-P
O
L
C
0)
o
c
o
0 CJ
£ "S
*"• QQ
OJ
TJ
O
•rH
0.
LUUU. LIU,
-— -.—,.— .. t. . j 1- -i- r "i" r | • •!..-.-..[. ... ,..— j-— t— ! -i-r-f — ••- • •— !•"• • 'i i i i i "i"r-j •• — *• "r • i i I--I--T—ITJ
: 1
• -
: ^^^^^^^^ :
^^^^•^.^
100. 00 7 ~~^**Si, "=
10.00-
— -^^^
: ^Ni. :
x -
\
\
9
: 1
!
T
t . *
1.00-jr -d
0. 10,
* ^
Concentration, ppb Duration (days)
r Max Daily = 500. * 1 +4 1
t Mean Daily = 58. 7 o 2 x 30 j
0.01-
[ 1
: }
~
» T^T^_ 1 l-,.-^_._.l_ 1 1 _1__|_ 1-1 — -_ , 1 1 t [1 tit I I 1 II t 1 t | 1 _ _ _].._._[_ 1 1 | 1 1 —
0.01 0.10 1.00 10.00 100
PgrcQnt of TimQ Concgntration
FIGURE C. 141 Region: Crop:
EASTERN CORNBELT SOYBEANS
Koc: ks: kw:
5000 0.01 0.05
\
-------
0.01
10000. Of—
_D
c
o
•i-H
-P
O
L
-P
C
cu
o
c
o
cu
m
cu
T3
•i-H
O
•rH
-P
(/)
OJ
Q_
1000. 0,r
100. O.r
10.0.:
l.-O"
0. 1
0. 10
H e—i—i i t i I
1.00
•H 1 1 1—I I I I I
10.00
-I 1 1—I I I I I H
ConcQntration, ppb
Max Daily = 1245
Mean Daily = 405.
100.00
H 1—I I I I'l
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I I I I | 1 1 1 1—I I I I | 1 1 1 1—I I I I I 1 1 1 1—I I I
0.01
0.10 1.00 10.00
Percgnt of Timo ConcQntration
EASTERN CORNBELT SOYBEANS
KOC:
5000
100.00
ks: kw:
0.001 1.0
-------
0.01
0. 10
1.00
10.00
100.00
o
I
n
Q_
*
O
•r-i
•P
O
L
C
OJ
o
c
Q
"O
ffl
CD
Q}
~D
O
•r-i
w
0)
Q_
1UUUU. U--J
*
1000.0;
100.0;
10.0-
1.0-:
0. 1-
0.01
FIGURE C.
I ' — " j I ' | — |— | •"'! |' p-— - ••— — - | " "" "I | .•—.r.n'P.| t ,r,,.|,,,i>|.^. ,•—• inn... -,— — f... , -J.. J—f-^ - ^.-l.l..— , ( ,-—,..,.,—,„—.., y. ., -.
^ X " '8 fllik.
^F===*======^^ 1
^^^^~^«L :
\i
\
\
i
i
r
r
Concentration, ppb Duration (days) f
Max Daily = 1624 * 1 + 4 f
Mean Daily = 512. ° 2 x 30 :
t
0.10' 1.00 10.00 100.00
Percent of Time Concentration Exceeded
143 Region: Crop: Hoc: ks; kw:
EASTERN CORNBELT SOYBEANS 5000 0.001 0.5
-------
0.
10000. 0-
_Q
§: looo. o.
c
o 1
•iH
O
•P 100.0;
0) :
8 :
o
0 0
H -Q
5 « 10.0;
2 :
o
4->
0) " :
Q_ ;
0. 1-
0.
01 0.10 1.00 10.00 100
1 4 1 1 1 1 1 1 ! I 1 1 1 1 1 I 1 1 1 I I 1 I 1 1 [ I 1 1 1 1 1 i I
i ---» i i i i i j i i i i i i i i i i i i i i i i i j i jiii -n »^
A~^S!!S~^?==*==^-_
: ^^^==*==^*_ --•
X) •~~^__
; ^^>;
}
- i
.00
r
!
• \
• ConcQntration. ppb Duration (days) n
: Max Daily = 2275 * 1 + 4 :
: Mean Daily = 679. o 2 x 30 ;
.
t t III nut iffft ' 1 Itlllll I I (tllif 1 1 fttlltd
rrtr ^ rr rrrrr -i II | I innnm || --miiji nn I L J: _ . ._ f ...«_{_«^«M^__|..I |- . . . | , „ ,-„ -., i i.-J - ....... [ _ -j |....-^«_^..^|w^ _ i - i i i|»__™«™— j_ J J 1. 1— ^™ f~ • " • • ' • '. »|*™« J — | m|i-|. «=ij=t J- J •—•}-«
01 0.10 LOO 10.00 100
:
.00
PercQnt of TimQ Concentration ExcQQded
FIGURE C 144 RQgions Crop: Koc: ks: kw:
EASTERN CORNBELT SOYBEANS 5000 0. 001 0. 05
-------
0.01
1. OOOOi—
o
_c
\
en
T3
o
o
0. 1000-
'0.0100-::
oo CD
T3
•r-l
O
a_
0. OOlOt:
0.0001
0. 10
-J—I—1 1 1 1 I I
1.00
-f f
10.00
-i—I—I .I..J...I 11
Kocs (ml/am)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 5Q{ 0.0034
Koc 500s 0.0044
Koc 1500s 0.0025
Koc 5000s 0.0012
100. 00
4.
0.01
FIGURE C. 145
0.10 1.00 10.00
Percent of Timo Daily Load Exceeded
100.00
Regions
EASTERN CORNBELT
Crops
CORN
ks:
0. 1
-------
0.01
1.0000-J—
0. 10
LOO
o
_c
01
_K
"O
o
o
0. 1000"
>s
0. 0100"
o
I
o
Q
ic*
UD 01
T3
•i~<
O
0. 0010"
a.
0.0001
-j ( ! 1—|_4-4~f-
10.00
-i—i—t—J-+-S-H
100.00
_J—I—I ....I I I I-.
Kocs (ml/gm)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Hoc 50: 0.0302
Hoc 500: 0.0515
Hoc 1500: 0.0420
Koc 5000: 0.0258
0.01
FIGURE C.146
0.10 1.00 10.00
Percont of Time Daily Load Exceodgd
100. 00
Regions
EASTERN CORNBELT
Crops
CORN
kss
0.01
-------
0.01
1.0000+
D
-C
OT
JC
"O
o
o
0.1000-
0.0100"
? 5
jL Q
g 0)
TJ
•r-l
O
0.0010-
Q.
0.0001
0.10
1.00
10.00
100. 00
Koci (ml/qm)
* 50 + 1500
o 500 x 5000
Max Daily Load
-------
'0.01
1.0000
0. 10
1.00
10.00
100. 00
o
jr
m
x.
-O
d
o
0. lOOOi
>s
0. 0100-x
o
en
o
Q
a> •.
T3
I 0. 0010-i
o_
0.0001
Koc: (ml/gin)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50s 0.0143
Koc 500: 0.0192
Koc 1500: 0.0103
Koc 5000: 0.0051
0.01
FIGURE C. 148
0.10 1.00 10.00
Percent of Time Daily Load Exceeded
100.00
Region:
EASTERN CORNBELT
Crop:
SOYBEANS
kss
0. 1
-------
0.01
1. 0000*
0.10
10.00
100. 00
O
JI
\
en
TJ
O
O
0. 1000-r
0. 0100-:
a
o
•r-4
-P
Q_
0.0010-r
0.0001
Kocs (ral/gm)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50s 0.0472
Koc 500s 0.0801
Koc 1500: 0.0538
Koc 5000: 0.0303
0.01
FIGURE C. 149
0.10 1.00 10.00
Percent of Time Daily Load Exceeded
100. 00
Region:
EASTERN CORNBELT
Crop;
SOYBEANS
ks:
0.01
-------
0.01
1 nnnn
i. UUUU:
0. 10
i i i i 1 1 i i
i i i i 1 1 i i
1.00
, , j j ! , J
10.00
100.00
0. 100C-:
~
D
JC
V-x,
en
TJ
D
O
o
a
a;
o
I 0.0010
CL
). OlOOt
0.000 H
1—i—i—i—I-M-
Kocs (ml/am)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50s 0.0660
Koc 500s 0.1104
Koc 1500s 0.0860
Koc 5000s 0.0700
0.01
FIGURE C. 150
0.10 i.oo 10.00
Percent of Time Daily Load Exceeded
Regions
EASTERN CORNBELT
Crops
SOYBEANS
100. 00
kss
0.001
-------
APPENDIX D
PESTICIDE CONCENTRATION AND RUNOFF FREQUENCY CURVES FOR THE
WESTERN CORNBELT REGION
TABLE D.I FIGURE MATRIX FOR PESTICIDE SOLUTION CONCENTRATION
CURVES FOR CORN AND SOYBEANS IN THE WESTERN
Region:
Crop:
Koc
(ml /gin)
50
500
1500
5000
Regions
Crop:
Koc
(ml/gm)
50
500
1500
5000
CORNBELT
WESTERN CORNBELT
CORN
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0,01
0.001
0.1
0.01
0.001
WESTERN CORNBELT
SOYBEANS
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
1.0
D.I
D.4
D.7
D.10
D.13
D.16
D.19
D.22
D.25
D.28
D.31
D.34
1.0
D.37
D.40
D.43
D.46
D.49
D.52
D.55
D.58
D.61
D.64
D.67
D.70
kw (per day)
0.5
D.2
D.5
D.8
D.ll
D.14
D.17
D.20
D.23
D.26
D.29
D.32
O.35
kw (per day)
0.5
D.38
D.41
D.44
D.,47
D.50
D.53
D.56
D.59
D.62
D.65
D.68
D.71
0.05
D.3
D.6
D.9
D.12
D.15
D.18
D.21
D.24
D.27
D.30
D.33
D.36
0.05
D.39
D.42
D.45
D.48
D.51
D.54
0.57
D.60
D.63
D.66
D.69
D.72
D-l
-------
TABLE D.2 FIGURE MATRIX FOR PESTICIDE BED CONCENTRATION
Region:
Crop:
Koc
(ml/gm)
50
500
1500
5000
Region:
Crop:
Koc
jml/gra)
50
500
1500
5000
CURVES FOR CORN
WESTERN CORNBELT
WESTERN CORNBELT
CORN
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
WESTERN CORNBELT
SOYBEANS
ks
(per day)
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
0.1
0.01
0.001
AND SOYBEANS
kw
1.0
D.73
D.76
D.79
D.82
D.85
D.88
D.91
D.94
D.97
D.100
D.103
D.106
kw
1.0
D.109
D.112
D.115
D.118
D.121
D.124
D.127
D.130
D.133
D.136
D.139
D.142
IN THE
(per day)
0.5
D.74
D.77
D.S0
D.83
D.86
D.89
D.92
D.95
D.98
D.101
D.104
D.107
(per day)
0.5
D.110
D.113
D.116
D.119
D.122
D.125
D.128
D.131
D.134
D.137
D.140
D.143
0.05
D.75
D.78
D.81
D.84
D.87
D.90
D.93
D.96
D.99
D.102
D.105
D.108
0.05
D.lll
D.114
D.117
D.120
D.123
D.126
D.129
D.132
D.135
D.138
D.141
D.144
D-2
-------
TABLE D.3 FIGURE MATRIX FOR PESTICIDE LOADING CURVES FOR THE
WESTERN CORNBELT
Region: WESTERN CORNBELT
ks (perday)
Crop 0.1 .01 .001
Corn D.145 D.146 D.147
Soybeans D.148 D.149 D.I50
D-3
-------
0.01
1000. 00 i
XJ
CL
Q_
o
•l-l
•p
o
L
.p
c
01
u
c
o
u
100. 00-i
O
to
ffl
-g
•r-i
O
•1-1
4-3
w
0)
CL
10.00-
1.00.:
0.
0.01
0.10
' - ' — ' — ' ......... i .......... '• ...... i-
1.00
' — ' — i— i-i-i-i-i
10.00
1 - 1 — i — f— f-f-f-f-j
100. 00
H 1 1 I I I I'J.
H 1 1 1—I-
Concentration, ppb
Max Daily = 110.
Mean Daily = 0. 41
Duration (days)
* 1 +4
o 2 x 30
H 1-
0.01
FIGURE D0 1
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
WESTERN CORNBELT
Crop:
CORN
Kocs
50
ks:
0. 1
100.00
kw:
1.0
-------
1000.
0.01
0. 10
1.00
xs
CL
CL
4-
t
c' 100.00+
o
O
L
C
0)
o
C
o
u
C
o o
I '1-1
U1 -p
D
i—i
O
tn
OJ
o
•1-1
•p
M
OJ
CL
10.00-
1.00-
0. 10-
0.01
_l ( 1—I—I I..[ I 1 1 1—I—(_
Concentration, ppb
Max Daily = 163.
Moan Daily - 0.60
10.00 100.00
-I ) (—H-t-f-H 1 1 1 1- I I III
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURED'2
0.10 1,00 10.00
Porcent of Timo Concontration Excooded
Crop:
CORN
Koc:
50
ks:
0. 1
I
100.00
kw:
0.5
-------
0.01
1000. 00*—
0
I
en
_Q
O_
CL
-p
D
L
-P
C
Of
O
C
o
u
C
o
01
TP
>r_|
O
•r-l
-P
M
0)
CL-
100. OO.r
IO. OO^r
1.00.:
o. io4
0.01
0. 10
_) 1—I—I. I-. I I I-I
1.00
j—It 1 I I I
10.00
-i 1—I—I-I--I--I-1 I
100. 00
— 4- I ••!"! 'I'l-
Concentration, ppb
Max Daily = 2w.
Mean Daily = 0.95
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D,3
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
WESTERN CORNBELT
Crop:
CORN
Koc:
50
KS!
0. 1
100.00
kw;
0.05
-------
0.01
1000. 00 i - '
0.10
1.00
10.00
100.00
a
i
_D
Q_
Q_
C
o
•iH
-p
o
L
-P
C
01
o
C
o
C
o
O
LO
0)
"D
•f-i
O
•iH
-P
(/)
01
a.
100. 00.r
10.00-
1.00-
0. 10-
0.01
Concentration, ppb
Max Daily = 142.
Moan Daily = 1.31
Duration (days)
* 1 +4
o 2 x 30
•i—i—i—i i i i
0.01
FIGURE D.4
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
50
ks:
0.01
100.00
kw:
1.0
-------
0.01
1000. 004
0.10
JD
Q_
Q_
C
o
.p
o
L
-P
C
0)
o
C
o
o
oo -P
i—i
O
CO
0)
-a
•rH
O
•r-l
-P
0)
0)
Q_
100. 00-:.
10.00"
0. 10.:
0.01
1.00
i i i 1 1 1 - 1
10.00 100.00
i — i i i 1 1 1 - 1 - 1 — i — i i i 1 1.'
Concentration, ppb
Max Daily - 209.
Mean Daily = 1.88
Duration (days)
* 1 +4
o 2 x 30
1 - 1 — I I I I |
1 - 1 - 1 - 1 — I [ [ 1
0.01
FIGURE D.5
0.10 1.00 10.00
Pgrcent of Timg Concgntration Exceeded
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
50
100. 00
ks: kw:
0.01 0.5
-------
0.01
1000. OOi
0.10
1.00
-Q
Q_
Q_
o
L
-P
c
0)
o
c
o
u
c
a o
I ••-'
U3 -P
D
,
cn
OJ
TJ
•iH
o
•r-t
-P
W
Q)
Q_
100. 00-r
10. 00.r
1.00-r
0. lQ:r
0.01
Concentration, ppb
Max Daily = 319.
Mean Daily = 3.06
10.00
_) — I — I I I I I
100.00
1 - 1 — I — I ......... i . I
Duration (days)
* 1 +4
o 2 x 30
1 1—i—r r r i i
0.01
FIGURE D.6
0.10 i.oo 10.00
Porcgnt of Time Concontration Exceeded
Region:
WESTERN CORNBELT
Crop: Kocs ks:
CORN 50 0.01
100.00
kw:
.05
-------
0.01
1000. OOi
0.10
.0
Q_
Q.
c
o
•i-H
•P
D
•P
C
01
o
c
o
CJ
7 .2
H -P
0 D
i — i
O
CO
01
TJ
•rH
O
0)
Q_
10.00-
1.00-
0. 10-
0.01
' — • — '
1.00
H 1 I I I I [
10.00 100.00
-t 1 1 i—1 I I I I 1 1 1 1—I I I ll
Concentration, ppb
Max Daily = 154.
Mean Daily = 11.0
Duration (days)
* 1 +4
o 2 x 30
H - 1 - 1 - 1 — I I I I |
1 - 1 - 1 - 1 — (til
0.01
FIGURE D.7
0.10 1.00 10.00
PQrcQnt of TirtiQ Concentration Exceeded
1
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
50
100.00
ks: kw:
0.001 1.0
-------
o
I
0.01
1000. 00 "i
0.10
1.00
-D
Q_
Q_
c 100.00
o
o
L
c
01
o
c
o
u
c
o
•«-l
4J
D
O
t/)
01
T)
(0
01
Q_
10.00-
1.00-
0.
0.01
' — '
10.00
i 1 1 1
100.00
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily - 228.
Mean Daily = 14.8
H-
0.01
FIGURE D.8
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crops
CORN
Hoc:
50
ks:
0. 001
100. 00
kws
0. 5
-------
0.01
1000. 00-i
O
Q.
Q.
o
•rH
•P
O
L
•P
C
01
o
c
o
o
c
o
O
0)
Q)
T)
•iH
O
0)
OJ
Q_
100. 00.r
10.00-
1.00-
0.10-
0.01
' — '
0.10
i i 1 1 1
1.00
1 - 1
i i i
10.00
i i i 1 1 1
100. 00
H—I I I I I
Concentration, ppb
Max Daily = 344.
Mean Daily = 22. 2
Duration (days)
* 1 +4
o 2 x 30
-i 1—i—i—i i i i
H 1 1 1—lilt
H 1—I 1 I I
H 1-
0.01
FIGURE D. 9
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
50
ks:
0. 001
100.00
kw:
0. 05
-------
0.01 0.10 1.00 10.00 100.00
100. 000"i ' '—'—'—' ' ' ' I ' '—'—'—' ' '' I ' '—'—'—' ' ' ' I ' '—'—'—' ' ' '•
0_
o_
r' 10.0004-
-p
o
L
S i.ooo-
c
o
u
c
o o
I -M
I-1 -P
w 3
1 — I
o
CO
0)
TJ
0. 100-
^ 0.010-
^->
0)
CL
0.001
0.01
Duration (days)
* 1 +4
o 2 x 30
ConcQntration, ppb
Max Daily = 27.6
MQOH Daily = 0. 12
1 1 1—I I I I | 1 1 1 1—I I I I | ( f 1 1 I I I I | Xfl ' ' ' '—'111
0.10 1.00 10.00
Pgrcent of TimQ ConcQntration Excggdod
FIGURE D, 10 Region: Crop: Koc:
WESTERN CORNBELT CORN 500
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100. 0004 - ' — '
JD
Q.
a.
c
o
•r-l
4->
O
£_
-P
8
c
o
o
I
O
en
QJ
TJ
01
Q_
lO.OOO.r
1.000-:
0.
0.010"
0.001
0.10
' 1 1
1.00
10.00
Concentration, ppb
Max Daily = 39. 2
Mean Daily = 0. 18
100. 00
I I 11
Duration (days)
* 1 +4
o 2 x 30
i—i
•I 1
-I—1—I I I I.
0.01
FIGURED. 11
0.10 1.00 10.00
Percent of Time Concentration Exceeded
100.00
Crops
CORN
KOC:
500
ks;
0. 1
0.5
-------
0.01
100. 000-i '
0. 10
1.00
10.00
100. 00
D_
Q_
c- 10.000
o
-p
o
L
•P
n
o
o
c
o
u
D
ui
c
O
O
in
a/
T3
•1-1
O
•fH
-P
w
OJ
Q_
1.000^:
0. 100-
0.
0.001
-\ 1 1—I—I I I (
Concentration, ppb
Max Daily = 57.8
Moan Daily = 0.26
H i 1 1—I 1 I I
-t 1—f—i—i i i
Duration (days)
* 1 +4
o 2 x 30
f F i—I I I I-
0.01
FIGURE D. 12
o.io i.oo 10.00
Percent of TirriQ Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
500
ks:
0. 1
100. 00
kw:
.05
-------
0.01
1000. 00-
Q.
CL
t£ 100.00
o
•1-1
-p
o
L
C
0)
o
c
o
o
c
o
O -H
I -p
O
CO
"O
•H
o
w
Ql
10.00-
l.OO.r
0. 10"
0.01
0. 10 1.00 10.00 100.00
_j—I—1 I I I I I 1 1—I—I II I 1 I 1 1—I—I I 1 1 I I 1 1—i—I I I I I.
Concentration, ppb
Max Daily = 57.8
Mean Daily = 0.66
Duration (days)
* 1 +4
o 2 x 30
1 1 1 1 t I t
< 1—I—t—f-
0.01
FIGURE D.13
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
500
ks:
0.01
100.00
kws
1.0
-------
D
I
0.01
1000.00*—
0. 10
1.00
10.00
100.00
,Q
Q_
Q_
o
o
L
4->
0)
o
c
o
4->
D
1 — I
o
tn
0)
-a
•i-t
o
•1-1
-p
w
a>
a.
10.00-
LOO-
0. lO^r
0.01
0.01
Concentration, ppb
Max Daily = 78. 5
Mean Daily = 0.96
1 1 1—I I I I
Duration (days)
#1 * 4
o 2 x 30
0.10 1.00 10.00
Percent of Timo Concentration Exceeded
FIGURE D.14
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
500
ks:
0.01
100.00
kw:
' 0.5
-------
O.Oi
1000. 00"i
100.QO.T
JD
Q_
Q_
-p
o
L
8 10.00
c
o
u
V
01
TJ
•r-i
O
•I-l
o;
CL
1.00"
0.10-
0.01
0.10
' — ' — i -I' ...... i ......... ) ..... i i
1.00
1 — i — i -i-M-i-l
10.00 100.00
_,—I—t . I- l-t-l-l 1 1—I—1 1- I I 1-1-
Concentration, ppb
Max Daily -111.
Mean Daily = i, 57
H 1 1 1 I I I
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D. 15
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regiom
WESTERff CORNBELT
Crops'
CORN
Koc: ks5
500 0.01
100.00
kw:
0.05
-------
0.01
1000. 00 •+
0.
CL
c 100.00
o
•r-t
.p
O
L
C
01
O
c
o
u
c
o
•l-l
-p
D
O
tn
01
TJ
•r-*
o
•r-<
-p
01
Q_
IO. QO^r
LOO-
0. 10.r
0.01
0.10
1.00
10.00
' — '
i i
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 65.2
Mean Daily = 2.69
1—1 III
0.01
FIGURE D. 16
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Crop:
CORN
Kocs
500
kss
0.001
100.00
iii.
100.00
kws
1.0
-------
0.01
1000. 004
J3
CL
CL
t
o
O
4->
C
01
o
c
o
u
V
01
T)
•r-l
O
•H
•P
W
01
Q_
100. 00.r
10.00.-
l.OO.r
0. 10"
0.01
0.01
0.10
' — ' — ' ' ' ' ' I
1.00
' — ' — ' — ' i
10.00
i 1 1 1 1
100.00
i i
Concentration, ppb
Max Daily = 89.8
Mean Daily « 3.66
H *-
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE D. 17
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
500
hs:
0.001
100.00
kw:
0.5
-------
0.01
1000. 00 -i
0.10
_Q
CL
CL
o
O
L
C
01
o
C
o
o
C
o
l—t
o
TJ
•r*
O
•r-l
4^
CD
0)
Q_
100.00"
10.00-
0. lO^r
0.01
' - ' — ' ' '
' '
Concentration, ppb
Max Daily - 127.
Mean Daily = 5.70
1.00
i 1 1 —
-i 1 H
10.00
I I I I I
100.00
Duration (days)
* 1 +4
o 2 x 30
-w-t
., f (—I—j_
0.01
FIGURE D. 18
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
WESTERN CORNBELT
Crop;
CORN
Koc:
500
100.00
ks: kw:
0.001 0.05
-------
0.01 0.10
100. 000 -i - ' - ' — ' — ' ' i 1 1 1
1.00
-D
O_
O_
c 10.000-
o
•r-l
-P
O
L
g 1.000-
c
o
cj
c
o o
K 3 0- 100
r—I
O
en
01
T)
.2 0.010
-P
cu
Q-
0.001
i i i 1 1 1
10.00
i — i i i 1 1 1 - 1
100.00
-I—I I I 1 ll
Concentration, ppb
Max Daily = 10.5
Mean Daily = 0.05
Duration (days)
* 1 +4
o 2 x 30
-f 1 1—I—I I I I I 1 1 1—I—I I I I
•H 1 1 1—lilt
0.01
FIGURE D. 19
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Crop:
CORN
Koc:
1500
0. 1
100.00
kw:
1.0
-------
0.01
100.000^—
0. 10
-Q
Q.
Q_
c* 10.000
Q
o
L
D
I
NJ
U)
o
c
o
o
c
o
.p
D
.—i
O
I/)
a
TJ
•r-t
O
w
cu
CL
1.000-
0.
0.010-
0.001
-I 1 1 1—I' I II
LOO 10.00
- 1 - 1 — I — I — 1 I I I I
100.00
1 - 1 — I — I. I- [ .) ...... I..
Concentration, ppb
Max Daily - 14. 0
Mean Daily = 0.08
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D,2Q
0.10 1.00 10.00
PorcQnt of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
1500
ks:
0. 1
100. 00
Hew:
0.5
-------
0. 01
100. 000 "i
-d
O_
D_
if 10.000'
o
o
d
c
01
o
c
o
LJ
C
o
1.000-
.
to -P
*» 3
r — I
O
en
0)
TD
-.H
o
•I-l
0)
CL
0.
0. 010"
0.001
0. 10
' - ' — ' — i- i-i-i-i-
1. 00
i ............. i ..... i » i-j
10. 00
1 - 1 — i
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = la. 4
Mean Daily - 0.09
100. 00
' i 1 i.
1 - 1 - 1 — f — l—l •! -
' - 1 - » — I — (III
-H 1 1—j—I t I-
0.01
FIGURED-21
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Crop:
CORN
Koc:
1500
ks:
0. 1
100. 00
kws
.05
-------
0.01
1000.00*—
-D
Q_
Q_
c 100.00'
o
o
L
•P
C
GJ
O
C
o
o
D
to
(Jl
•p
D
r—I
O
en
0)
-o
•rH
o
•r-l
•P
(/)
cu
Q_
10.00-
1.00"
0.
0.01
0. 10
1.00
Concentration, ppb
Max Daily - 23. 5
Mean Daily = 0.40
10.00
i-wH
100. 00
_, - ,
Duration (days)
* 1 +4
o 2 x 30
H 1—I "I I (
_i—i—1_
_i—_f.
0.01
FIGURE DB22
0.10 1.00 10.00
Percent of Time Concgntration Exceeded
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
1500
ks:
0.01
100.00
kw:
1.0
-------
0.01
1000. 00 ~i
o_
Q_
c' 100.00'
o
•r-H
-P
O
L
c
0)
o
c
o
c
o o
I -r-J
O
CO
OJ
O
•l-t
-p
CO
0)
Q_
10.00.:
1.00-
0. 10-
0.01
0.10
' - ' — ' — ' — *— »-«-
1.00
i i 1 1 1
ConcQntration, ppb
Max Daily = 29.9
Mgan Daily = 0.57
10.00
i — i i i 1 1
100.00
I I I I
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I I I I
H 1 1 1—I I I I
-i f 1 1—1 I I I
1 1 1—I I I
0.01
FIGURED. 23
0.10 1.00 10.00
PercQnt of TimQ ConcQntration ExcQQded
Crop:
CORN
Koc:
1500
ks:
0.01
100.00
kw:
0.5
-------
0.01 0.10
1000. 00 i < H-<-+-f-t-+-H—
1.00
X)
Q_
Q_
-P
o
L
-P
C
OJ
D
C
O
(J
c
o o
I -r-l
to .j
O
(/)
OJ
•o
•l-»
o
•r-»
-P
(/)
0)
a.
100. OO.r
10. OOi
1.00"
0.104-
0.01
_) - 1 - ( — I
J --- (_
10. 00 100. 00
;_(.-j_j ) ) j »--4 I I.|4
Concentration, ppb
Max Daily = 40.5
Mean Daily = 0.88
Duration (days)
* 1 +4
o 2 x 30
_f j ( 1—| ill 1 1 1 1—M—t~H 1 1 1 )—t "I' I '' 1 1 1 1—> I
0.01
FIGURE D.24
0.10 LOO 10.00
Percent of Time Concentration Exceeded
Regions
WESTERN CORNBELT
Crops
CORN
Koc:
1500
kss
0.01
100.00
kw:
0.05
-------
1000.
0.01 0.10 1.00 10.00 100.00
I 1 , 1 I I III 1 1 1—I—I -> I i-l 1 1 1 K-1 1-I I I 1 1 f J—I—J-+-4-
CL
Q_
C
O
•|H
-P
O
L
-P
C
01
O
C
O
(J
C
O O
I -l-t
co
O
CO
01
O
•t-l
-p
w
cu
Q_
10.00-
1.00-
0. 10-
0.01
Concentration, ppb
Max Daily = 37.0
Mean Daily = 2.32
Duration (days)
* 1 +4
o 2 x 30
i—i—i
0.01
FIGURED. 25
0.10 1.00 .10.00
Percent of Time Concentration Exceeded
Crop:
CORN
Koc:
1500
ks:
0.001
100. 00
kws
1.0
-------
0.01
0.10
1.00
10.00
100.00
iUUU. UU 3
_Q
Q_
CL
• t "~ — r~™~~i 1 — r™
c' 100. 00 4-
o ±
4->
D
L
g 10.00.
c
o :
u
c
0 O
£ 3 i.oo.
f-~HI "
o :
C/3
0)
-p
• iH
.S 0. 10.
-p
ConcQnt
j" Max Da
1 1 r~\
QJ
Q_
0.01
j 1—j
Mean Daily = 3.20
0.01
FIGURE D 26
1 1
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
1500
kss
0.001
100.00
kw:
0.5
-------
0.01
1000, 004
-O
EL
Q_
c 100.00
o
•l~l
-p
o
L
P
C
O
I
US
0
O
C
O
U
c
o
•r-l
P
D
r 1
O
CO
OJ
O
•rHl
-P
(/>
Q)
Q_
10. DOT
1.00-r
0.10"
0.01
0.10
1.00
10.00
' — ' — '
Concentration, ppb
Max Daily = 61.2
Mean Daily = 5. 03
Duration (days)
* 1 +4
o 2 x 30
100.00
'I--M-.
H 1 1 1
0.01
FIGURE D.27
0.10 1.00 10.00
Percent of TimQ Concentration Exceeded
H 1 1—I I I lfl{
Region:
WESTERN CORNBELT
Crop:
CORN
Kocs
1500
ks:
0. 001
100. 00
kw:
0. 05
-------
0.01
100. 000 i—
0. 10
_Q
CL
Q_
c' 10.000
o
•r-l
-P
O
L
D
,
UJ
C
Of
o
c
o
o
-P
D
i — i
O
CD
"O
•r-l
O
•r-l
-P
(0
OP
Q_
1.000-
0. 100"
0.010-
0.001
1.00
H 1 1—I--I I-1--I
10.00
_)_ 1 ,—I—I ) J...J.I
100.00
,—I I )!•
ConcQntration, ppb
Max Daily = 3.31
Mean Daily = 0.01
i—i—i iii
H—i—^
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURED. 28
0.10 1.00 10.00
PercQnt of lime ConcQntration Excegdgd
Crop:
CORN
Koc:
5000
kss
0. 1
100.00
kw:
1.0
-------
0.01
100. 0004—
.Q
Q_
Q_
£ 10. 000'
o
•P
O
L
43
8
c
o
o
o
I
U!
to
c
o
O
to
-------
0.01
100. 000 4
o
I
w
w
JQ
Q_
D_
o
•«-4
4J
O
L
4J
C
OJ
o
C
o
CJ
C
o
••-•
-P
D
, — i
O
C/)
0)
TJ
•iH
O
•1-1
-P
0)
OJ
Q_
10. QOO.r
1.000-
0. 100.r
0.010-
0.001
0.10
' - ' — ' ' ' ' ' 'I —
1.00
_, 1 1—,—I I I I
10.00
1 1—I—I.. [, „!...( I
100. 00
Concentration, ppb
Max Daily = 4.91
Mean Daily = 0.02
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D.30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
WESTERN CORNBELT
Crop:
CORN
Koc:
5000
kss
0.1
100. 00
kw:
.05
-------
J3
Q_
Q.
C
O
•r-l
4J
O
-4J
C
01
o
C
o
o
E
0 O
I •!-»
UJ 4-5
i — i
O
en
QJ
13
O
•P
w
a;
Q-
0.01 0.10 1.00 10.00
i nofi nn -t.i- MM...t-«.i_.. j ..4.. 4 i i,t .t,..i. i * , L .i,,, i .... *T i i i i . i- j wm.. . ._ ,1 .iW« ...» IIP,. — .1 . i. i.i. r .T..I.II] i 1. i f t i
1 lji}fj— 4_1U £ ' """I T^ 1 T 1 I ^^^ 1 r °"~»-j« *T^ I II f^T t ^^ 1 *•«— !•« ' i ' | | 1 1 J 1 1 I I ^~w»^.
4.
7
i Duration (days)
T * * I * 4
100. 004 o 2 x 30
i£
1
4.
10.00^ ^_
~"~~~™~— — -
t -O o5*^^
7 "V ~^"iSS:i:=a:«*«^.
j ^"-%-^. ^"^Si,
i 'v~-~— > **v
l.OOi ^^-^^ ^s.
T ^"**'*--^, G^-.
•i "^*~, ^^-x^^
•i- "^^••-^.. s^^
T """ — •^-.J>x>>^^
• '"^"^^^^
^**"^-^^*^
n 10 J. ConcQntration, ppb ^^^^s,^.
U' 1Uf Max Daily = 9.01 ^"^
T Mean Daily = 0. 19 x'\
+ ''^
j *"
t
Ofl 1 «L. 1 .1 . 1 1 1 f- 1 j 1 „ , 1 .1 1, 1 I 1 I 4- 1- - - 4- E „ .1 .1 I 1 1 1 ! 1 1 ,nl [ 1
. U i r — { ' * ' ' * ' * 1 <" * -*-— I- * i"""* *-J- i i'""— f i -I "1 1 r-|- •—'"- -i ] -H — f— f
0.01 0.10 ' 1.00 10.00
Percent of Time Concentration Exceeded
FTGURF D TI Regions Crops Kocs ks? ,
WESTERN CORNBELT CORN 5000 0.01
100.00
-MH£
$
4-
4
!
±
J.
T
1
•|-
T
1
T
"f
-7
-•
..
..
1
•}•
j
f
4-
\ i
-^'^i
100.00
kw:
1.0
-------
1000.
0.01
0.10
—4—t-f
1.00
_j_l_j ..
10.00
HH4
100.00
•t
Q_
O_
£ 100.00-
o ;
o
Duration (days) 4-
* 1 -j- 4 i
r 0 2 X 30 4
: J
!. f
b } i
n
g 10.00-
c :
o • :
u
c
0 O
i —i
U> 4J 1 nn'
ui 3 1. UU-
o :
IT)
OJ
T5
2 0. 10-
-P :
OJ -
D_
*-__ _j-
• "*^^ ~JK!==r':?5:l^-^ "*
^^^^-^, ^%S^^'^. - 1*
"^--^^^ ""^Si^^ t
^~H»~^,^^ ^O*fe\
~-^^^ ^5,^
i ^^^Ni^ *
• "^^"-^^^^^ t
"^^-vT^^^x^ "•"
^\^--x^^^ T
^^^""^Sr^
Concentration, ppb "^^w,
=" Max Daily - 10.5 ^ f
: Mean Daily = 0.25 N\ ::
\
\ -
\t
1 ^
. 0. OH
i i i \
j i, [ l mi liill in -t 1 MI ( "J'I filiir i fi J In! t III! MI I iif I II t f i-ii N-
i— .1 i ,»-..——.-. | ., )" n«— f --[ n || j ) |[ 1 . l n, -. — ^,.~_~— .. .J «,«,| . •— ")-"--,(.• 1" J'l''1 Jf " " ^ .-.--— -~-j."— -J—~^. ^— f~f—m^. T..TI= 3JM«._,- ™.,^..-i_-.J — «,«f, ,.,,,~^~. 1*~~t :"|"~T Pi T
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE D 32 Region: Crop: Kocs ks: kw;
WESTERN CORNBELT CORN 5000 0. 01 0. 5
-------
0.01
1000.00*-- •--»-•• »
0. 10
-I-l-l-j •• I-
1.00
D
1
U)
crs
Concentration, ppb
>— »
t-- O
0 O
« *
0 O
o o
L
•
"
r
i
T^
o
• 1-1
• V _. _,
3 1. UU':
o :
CO
I
1-
01 t
T)
5 0. 10-
—
•4~) T
(i) I
OJ |
Q_ +
i
0.01-J--
0.01
10.00
• !•-»-} -l-j -.+..
Duration (days)
* i +4
o 2 x 30
100. 00
Concentration, ppb
Max Daily » 12.2
Mean Daily = 0.35
—I—. I—(_(-+-{-]—
1.00
- -j— f—1—l—f-J-l-^.
10.00
0. 10
Percent of Time Concentration Exceeded
FIGURE D,33
Regions
WESTERN CORNBELT
Crops
CORN
Koc:
5000
ks:
0.01
j
i
100.00
kw:
0.05
-------
1000.
0.01
JD
Q_
CL
.
T
r* 100.00^:
o
D
L.
4-5
c
0)
o
c
o
c
o o
I ••-«
U) -p
-J D
• — i
O
CO
OJ
13
•f-i
O
OJ
Q_
10.00^:
1.00-
0. lO^r
0.01
0.10 1.00 10.00 100.00
H-H-j 1 i 1 1—I—t-f"H ! 1 f 1—i I I I 1 1 1 1 1—I- I i 1-4-
I
j_
i
Duration (days) -j-
* I +4
o 2 x 30
Concentration, ppb
Max Daily = 21.3
Moan Daily = 1.95
0.01
FIGURE D.34
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
WESTERN CORNBELT
Crop:
CORN
Koc:
5000
ks:
0.001
100.00
kws
1.0
-------
0.01
1000.00-^-
JD
Q_
Q_
O
•1-1
-P
D
L
-P
C
oj
O
c
O
CJ
c
D O
I --H
U) -p
co 3
01
-D
•i-H
O
OJ
Q_
100.00 +
10.00-
l.OO.r
0. 10-4
0.01
0.10 1.00 10.00 100.00
H 1 1 I I I I [ 1 1 1 t--l I I I I 1 1 1 1—I I 1 1 [ 1 1 1 1—I- I 111
Concentration.
Max Daily = 24.'8
Mean Dai ly = 2. 72
Duration (days)
* 1 +4
o 2 x 30
i
H 1 1 1—I I I I 1 1 1 1—I I I I 1 F 1 1—I I I I I 1 1 1 1—I- I II-
HSr
0.01
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
100.00
FIGURE D 35 Region:
r-lbUKL U.JD WESTERN CORNBELT
Crop:
CORN
Koc: ks: kw:
5000 0.001 0.5
-------
0.01
0.10
1.00 10.00 100.00
iuuu. uu-a
_O
Q_
O_
c' 100.00.
O ;
-P •
D
L
-P
g 10.00-
o :
LJ
c
0 0
i t| i.oo.
i — ^
o :
en
OJ
13
•*H
£ 0. 10,
-P :
0)
0)
o_
0.01-
0.
~— — — — »— i — i 1 r~~T — : — ( — t — y — ) r — •• — : T — i — i — r — r"j" — ™ ™*" — r -—•••"» — t 1 1 — y.....^.*^....^ — j : , 1 1 — — , —
Duration (days)
* 1 +4
r 0 2 X 30
S~JI=^^^^^fe^^*=^=_^
: ^^^^^^^^-^fc^-^^
; ^^^'"^^
^^=^5
•
Concentration, ppb
: Max Daily = 29. 1
: Mean Daily = 4. 18
i i iiiiii t "-" i iiiiiil f i liiiii i i it
01 0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE D 36 Region: Crop: KOCJ ks;
WESTERN CORNBELT CORN 5000 0.001
_j — j — , — r— T~-
-4-
t
^1
i
i
1
( i I ("tl
100
•
:
\
r
j
t
.00
kw;
0.05
-------
0.01
100. 000 i
0.10
1.00
JD
Q_
Q_
if 10.000
o
o
L
c
0)
o
c
o
I -2
0 D
1—I
o
CO
0)
T)
•rH
O
•rH
-P
W
0)
CL-
1.000.:
0. 100-
0. 010,r
0.001
0.01
« — '
IO. 00
H 1—<—I I I I I
100.00
-t 1—I—I I I I 1-
Concentration, ppb
Max Daily = 56.0
Mean Daily = 0. 33
Duration (days)
* 1 +4
o 2 x 30
1 - 1 - 1 — I I I 1
1 - 1 - 1 - 1 — I I I I
1 - 1 - ( - 1 — I I I I
I - 1 - 1 - 1 — 1111
0.10 1.00 10.00
PercQnt of TimQ Concgntration ExcQQdod
WESTERN CORNBELT SOYBEANS
Koc: ks:
50 0.1
100. 00
kw:
1.0
-------
0.01
100.000^-
_Q
D_
D_
-p
o
L
C
0)
o
C
o
u
C
a o
I -rH
O
CO
0)
T)
•I-H
O
•I-H
0)
Q_
10. 000.r
1.000-
0. 100-
0.
0.001
0.10 1.00 10.00 100.00
-\ 1 1—I—I I I I I 1 1 1—I—I I 1 I I 1 1 1—I—I I I I I 1 1 1—I—1 I I I
0.01
o—
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 78. 2
Moan Daily = 0. 50
1 1 1 1 I I I I 1 1 1 1 1 I I I I ( 1 f 1 1 I I I *H 1 1 1 1 I I I-
0.10 1.00 10.00
Percent of Time ConcQntration ExcQQdQd
WESTER^'cORNBELT SOYBEANS
Koc:
50
ks:
0. 1
100. 00
kw:
0.5
-------
0.01
100. 000-±
0.10
1.00
Q_
Q_
o
•f-l
-p
o
L
-P
c
0)
o
c
o
u
c
a o
i -.-i
*» 40
t-o 3
1—I
O
CO
0)
•i-i
O
•f-l
-p
0)
Q_
10. OOO^r
l.OOO.r
0. 100-
0.010-
0.001
ConcQntration. ppb
Max Daily = 112.
Moan Daily = 0. 84
10.00
i i 1 1 1 - 1
100.00
Duration (days)
* 1 +4
o 2 x 30
-i 1—i—i—i i i i
1—i—i—i i i i
0.01
FIGURE D. 39
0.10 1.00 10.00
PercQnt of Time ConcQntration ExcQQded
H 1 1—1111-
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Koc:
50
ks:
0. 1
100.00
kw:
.05
-------
0.01
1000.00*—
0.10
1.00
10.00
100.00
D
,
JD
Q_
Q_
c
o
D
L
4->
C
01
o
c
o
o
4-5
D
r— I
O
t/)
01
TJ
•r-l
O
•l-l
01
a.
100.00-
10. 00-r
1.00-
0. 10-
0.01
Concentrat i on.
Max Daily - 1
Mean Daily = 1.27
H 1-
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D. 40
0.10 i.oo 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Koc:
50
ks:
0.01
100. 00
kw:
1.0
-------
0.01
1000. 00 "i
0.10
_a
o_
Q_
D
L.
-P
C
01
o
£
O
CJ
C
o o
I ••-'
01
TP
••H
O
•r-l
-P
w
01
Q_
lOO.OO.r
10.00-
1.00-
0. 10"
0.01
LOO
1 - 1 — i — i-r--i-i"t-{ - » - 1
10.00
100.00
Concentration, ppb
Max Daily = 219.
Mean Daily - 1.86
Duration (days)
* 1 +4
o 2 x 3D
0.01
FIGURE D, 41
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Koc:
50
ks:
0.01
100.00
kw;
0.5
-------
0. 01
1000. QQ-t
O_
Q_
o
•«-l
-P
O
L
C-
01
o
C
o
o
O
t
*»
Ul
Q
in
01
T3
•rH
o
•i-4
-P
w
01
a.
100.00"
10.00.:
1.00-
0. 10-
0.01
0.01
0.10
1.00
10.00
100.00
Concentration, ppb
Max Daily = 342.
Mean Daily = 3.13
H 1
_, ,
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percont of TimQ ConcQntration Exceeded
FIGURE D. 42
RQgion:
WESTERN CORNBELT
Crops
SOYBEANS
Koc:
50
kss
0.01
100.00
kw:
.05
-------
0.01
1000. 00*1
_Q
Q_
Q_
c 100.00
o
-p
o
L
•P
c
01
o
c
o
o
o o
I •!•«
*» [ >
01
T»
•i-i
O
•I-I
OJ
Q_
10.00-
1.00-
0. 10-
0.01
0.10
' — • — ' — * i tii|
LOO
i M-| - »
10.00
i i 1 1 1
100.00
i i 1 1 1
Concentration, ppb
Max Daily = 194.
Mean Daily » 9.94
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I
H 1 1 1—H-4-1
1 1 1—I I I I
0.01
FIGURE D.43
o.io i.oo 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crops
SOYBEANS
Koc:
50
100. 00
kss kws
0.001 1.0
-------
0.01
1000. 00^—
0. 10
LOO
*»
-J
JD
Q_
Q_
o
L
+>
c
0)
o
c
o
u
c
o
•r-4
4->
D
1—i
O
en
O
•i-l
01
Q_
100. 00.r
10.00^:
1.00"
0.10-
0.01
10.00
I I » t Mi
100. 00
H 1 1—)-| ||
Concentration, ppb
Max Daily = 287.
Mean Daily = 13. 4
-1 1 H
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D. 44
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Kocs
50
ks:
0. 001
100. 00
kws
0. 5
-------
0.01
1000. 004
o
I
_Q
Q_
D_
o
•l-t
4*
D
L
+>
c.
at
o
c
o
o
c
o
00 D
r— I
O
at
"a
•r*
a
OJ
a.
100.00^:
10. OO^r
1.00-
0. 10-
0.01
0.10
' — ' — '•'-'•••' ....... ' ...... •'• ..... I
1.00
i 1 1
10.00
1 1 1 1
100.00
I 111
Concentration, ppb
Max Daily, = 449.
Mean Daily = 20.3
_, 1—l_
Duration (days)
* 1 + 74
o 2 x 30
0.01
FIGURE D.45
0.10 1.00 10.00
PorcQnt of Time Concentration Exceeded
1 1 !—I I 1 11
Regions
WESTERN CORNBELT
Crops
SOYBEANS
Kocs
50
kss
0.001
100. 00
kws
0.05
-------
0.01
100. 000+-
0.10
1.00
10.00
100.00
O_
O_
if 10.000'
o
o
L
-p
c
as
o
c
o
o
c
a o
O
in
01
~u
•r-t
O
0
01
a.
1.000-
0.
0.010-
0.001
_,—,—j—,_
H 1—| | | i | 1 1 1 1—| | | |
(—H-J-H-
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 24. 1
Mean Daily = 0. 11
H 1 1 1—I 1 I 1-
0.01
FIGURE D. 46
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop
SOYBEANS
Koc:
500
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100. 000 "i
0.10
O.
Q_
o
•r-l
-P
O
L.
•P
C
0!
O
C
o
u
D
I "->
ui -P
o D
• — i
O
CD
QJ
T)
•t-t
O
•i-i
o;
CL
10. 000,r
1.000-
0.
0.
0.001
' — ' — '
1.00
i 1 1
Concentration, ppb
Max Daily = 33.2
Mean Daily = 0. 16
-f- 1 I—I—I I i I I
10.00
1 ...... i -i ..... I
100.00
Duration (days)
* 1 +4
o 2 x 30
! - 1 - 1 — 1111
1 - 1 - f - 1 — .'111
0.01
FIGURE D, 47
o.io • i.oo 10.00
Percent of Timo Concentration Excoeded
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Koc:
500
ks:
0. 1
100.00
kw:
0.5
-------
0.01
100. OOOi *•
0. 10
1.00
10.00
100. 00
Q_
c
o
•r-t
4J
o
L
4->.
C
Q)
O
C
o
u
c
a o
I -r-i
Ul -P
M D
i—i
O
in
0)
~D
•r-i
O
•1-1
•p
(/)
OJ
Q.
10. 000•::
l.OOChr
0. 100-
0. OlO.r
0.001
0.01
1 - 1 - ( — f — i,,,l I .I-.
1 - 1 - 1 — i — I I I I
f - 1 - ( — I — I .......... I ...... ..... I ..... )-.
Concentration, ppb
Max Daily = 4o. 6
Mean Daily = 0. 25
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE D» 48
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Kocs
500
hs:
0. 1
100. 00
kws
.05
-------
1000.
0.01
JD
Q.
CL
c* 100.00'
o
o
L
+3
c
0!
o
c
o
u
c
D O
[ -rH
Ul -P
to 3
i—i
O
CO
01
o
•r-4
•P
w
Q)
0. 10^
0.01
0. 10 1. 00
_j-U } 1 (—i lit i I
10. 00 100. 00
1—)—1 I 1 1 I I 1 1—I—I I I I ll
Concentration, ppb
Max Daily - 57.8
Mean Daily = 0.66
-i 1
i ( r i i I
Duration (days)
* 1" +4
o 2 x 30
0.01
FIGURE D. 49
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Koc:
500
kss
0.01
100. 00
kws
1.0
-------
0.01 0.10
1000. OOi i—•—' i i i 11[—
1.00
D
I
en
co
Q_
Q_
o
L
-p
c
o>
o
C.
o
u
C
o
O
as
•o
•r-l
O
•r-l
-P
(0
Ql
Q.
100.00-:
10.00"
1.00-
0.10-
0.01
H 1 1 1 I I 1 I
10.00 100.00
1 1—i—i—i i i ii
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 82.5
Mean Daily = 0.98
_,—,—,
0.01
FIGURE D.50
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Kocs
500
ksj
0.01
100.00
kw:
0.5
-------
0.01
1000. 00 -i - '
0.10
1.00
10.00
CL
Q_
•p
o
L
.p
C
01
o
c
o
o
c
o o
! •••?
U1 -P
o
0)
TJ
•iH
O
Qi
CL.
100.00
LOO"
0. 10"
0.01
Concentration, ppb
Max Daily = 123.
Mean Daily = 1.67
100. 00
IH--M-1-
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D.51
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
WESTERN CORNBELT
Crops
SOYBEANS
Koc:
500
ks:
0.01
100.00
kw:
0.05
-------
0.01
1000.00-^—
0. 10
_Q
Q_
Q_
c 100.00
o
-p
a
L
-P
C
0)
o
c
o
LJ
C
o o
1 •'-'
Ul 4-)
O
0)
T3
•r-l
O
•r-l
-P
(I)
QJ
CL
10.00.:
1.00-
0.
0.01
1.00
H—I I i I
10.00
100.00
Concentration, ppb
Max Daily = 70.9
Mean Daily = 2.58
H 1-
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D.52
0.10 LOO 10.00
Percent of TimQ ConcQntration Exceodod
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Koc;
500
ks:
0.001
100.00
kw:
1.0
-------
0.01
1000. 00"i
0.10
1.00
10.00
100.00
JD
Q_
Q_
O
•1-1
-p
o
L
C
OJ
o
c
o
CJ
c
o o
I -r->
SJ1 Jj
O
cn
OJ
-T3
•r-t
O
(0
0)
Qu
100. 00"
10.00-
1.00-
0. 10-
0.01
' - ' — '
Concentration, ppb
Max Daily = 101.
Mean Daiiy = 3. 55
111.
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D, 53
0.10
1.00 10.00
of TimQ Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
KOC:
500
ks:
0.001
100.00
kw:
0.5
-------
0.01
1000. 00+—
(Jl
J3
Q_
Q.
c
o
.r~l
-P
O
L
•P
C
cu
o
c
o
o
I
.p
D
i — i
O
01
"O
•r-H
O
•l-l
-P
V)
0)
Q_
100. QO^r
10. 00.r
1.00-
0. 10. r
0.01
0. 10
1.00
10.00
100.00
Concentration, ppb
Max Daily = 151.
Mean Daily = 5. 66
Duration (days)
* 1 +4
o 2 x 30
-I 1 1—1—I—1 I I
-f ( f—1—i—I I I
0.01
FIGURE D. 54
0.10 1.00 10.00
Percont of Timg Concontration Exceeded
Real on:
WESTERN CORNBELT
Crop:
SOYBEANS
Koc:
500
ks:
0.001
i i »u
100.00
kw:
0,05
-------
0.01
100. 000 ^fc
0.10
JQ
DL
OL
c" 10.000
o
-p
o
L
•P
c
OS
o
c
o
u
0 2
i "•<
Ul -P
oo 3
, — i
O
tn
QJ
O
w
0)
Q_
1.000-
0. 100-
0.
0.001
' — '
1.00
1 1 [
10.00
Concentration, ppb
Max Daily = 8.43
Mean Daily = 0.04
0.01
FIGURE D. 55
100.00
1 1 1
Duration (days)
* 1 +4
o 2 x 30
0.10 LOO
PgrcQnt of TimQ ConcQntration
10.00
Re9ions
WESTERN CORNBELT
Cl~°P
SOYBEANS
Koc;
1500
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100. 000-i
0.10
1.00
10.00
100.00
.Q
CL
CL
r 10. OOQ.r
-p
o
L
-P
g
c
o
LJ
o
I ••-*
01 -P
^o D
<— i
O
CO
0>
o
.1-1
-p
(ft
Qi
Q_
1.000-
0. 100-
0.010-
0.001
' — •
Concentration, ppb
Max Daily = if. 2
Mean Daily = 0.06
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D, 56
0. 10 1. 00 10. 00
Percent of Time Concentration Exceeded
Region;
WESTERN CORNBELT
Crop:
SOYBEANS
Kocs
1500
kss
0. 1
100. 00
kw:
0.5
-------
0.01
100. 000-Jr-
-Q
Q_
Q_
-P
o
L
-P
C
ffl
o
c
o
LJ
C
O O
I -H
O1 -p
o 3
i—i
O
CO
0)
TJ
•r-i
O
4^
cu
ti-
lO. 000-r
l.OOO^r
0. 100-
0.010-
0.001
0.01
0. 10
(—(—I I I I 11
1.00
Concentration, ppb
Max Daily = 15. 0
Mean Daily = 0.08
-i 1—t-
10.00
1—(—I I I I 11
100. 00
1—I—I I I I ll
Duration (days)
* 1 +4
o 2 x 30
•H 1 1 1—I I I I
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
FIGURE D.57
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Kocs
1500
0. 1
100. 00
kw:
.05
-------
1000.
0.01
_Q
C_
a_
o
o
• L
-P
c
0)
o
c
o
LJ
C
o o
I •'-"
CP. -P
H D
•—i
O
CO
0)
TJ
•rH
O
•i-H
-P
OJ
Q_
I
T
100. OO.r
10.00 +
1.00-
4
0. 10-
0.01
0.01
0. 10
1.00
H 1 1 1—I I I I
10.00
-1 I—I—I 1 1 I I
100. 00
-I—I—1—I 1 I ll
Duration (days)
* 1 +4
o 2 x 30
ConcQntration, ppb
Max Daily - 26.5
Mean Daily = 0.41
I
i
H ! 1 1—1 I I I
1 1 1—fill
•I ! 1 1—I I !• I
-4 1 1 1—I I I
0. 10 1.00 10.00
PercQnt of TimQ Concentration Exceeded
100. 00
FIGURE D 58 Region:' Crop: Koc: ks: kw:
WESTERN CORNBELT SOYBEANS 1500 0.01 1.0
-------
0.01
1000. 00 -i
J3
CL
CL
C
o
•r-t
-P
o
L
•P
C
0)
o
C
o
o
C
a o
I --I
CPs 4J
NJ 3
.—i
O
CO
0)
"O
•I-l
o
OJ
Q_
100. 00-:r
10.00-
LOO-
0. 10.r
0.01
0.10
' — ' — ' ' ' ' '•!
1.00
' — ' — ' ' ' ' ' I
10.00
«- — * — ' ' ' • ' 1 1
100. 00
•I lill
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 34. 4
Moan Daily = 0.58
i i
0.01
FIGURE D 59
0.10 1.00 10.00
PQrcont of TimQ Concentration Excoedod
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
KOC:
1500
ks:
0.01
100.00
kw:
0.5
-------
0.01
1000. 00 f—
0.10
1.00
10.00
4-++H
100.00
i I "I t-
a
i
cr>
JD
Q-
CL
C
O
O
C
0)
o
c
o
o
c
o
o
in
Q)
o
•r-l
-P
CO
OJ
Q_
T
100. ooi
±
f
-i-
10.00+
i.ooi
i
I
0. 10-t
Concentration, ppb
Max Daily = 45. 0
Mean Daily = 0.91
Duration (days)
* 1 +4
o 2 x 30
0.01
0.01
FIGURED. 60
_j—i—f_f_{_f-!_
•—i—i—i i i
10.00
0.10 1.00
Percent of Time Concentration Exceeded
Region*
WESTERN CORNBELT
Crop:
SOYBEANS
Kocs
1500
ks5
0.01
100. 00
kw:
0.05
-------
0.01
1000. 00 -t
7
cr>
*•
Q_
Q_
C
O
D
L
4J
C
01
O
C
O
O
.2
O
CO
Q)
~O
•1-1
O
03
OJ
Q.
100.
10.00-
1.00-
0. 10-
0.01
0.10
1.00
10.00
100.00
' — ' i
1— 1 ......... 1 ....... 1 ......... 1 .......
1 - 1 - 1 - 1 - 1 I I I
Concentration, ppb
Max Daily = 35. 1
Mean Dai iy = 2.25
_1 j (—f—i ; r • I
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D 61
0.10 1.00 10.00
PercQnt of Time Concgntration Exceeded
Region:
WESTERN CORNBELT
Crops
SOYBEANS
Koc:
1500
Ns:
0.001
100.00
kws
1.0
-------
0.01
1000. 00
0. 10
±
i
Q_
Q_
c 100.00
o
-p
o
L
-p
c
01
o
c
o
LJ
C
a o
I -r-l
m .p
O
en
a
TJ
•i-i
O
•i-i
•P
«
ffl
CL-
IO. OO^r
1.00-
0. 10-
0.01
i.oo 10.00
-I 1 ,—(-III) 1 1 1 1— |., .| | f.i
100.00
i i i
ConcQntration, ppb
Max Daily = 48.0
Mean Daily - 3. 12
Duration (days)
* 1 +4
o 2 x 30
_,—i
0.01
FIGURE D.62
0.10 1.00 10.00
Porcont of Time Concentration Exceeded
I
_t_
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Koc:
1500
ks:
0.001
100. 00
kws
0.5
-------
0.01
1000. 00-
0. 10
1.00
10.00
I .
100.00
Q_
o
•rH
4-5
D
L
4-3
C
0)
o
n
o
LJ
C
a o
o
en
0)
T3
-.-i
O
•>~<
4-3
(0
0)
a.
100. 00-
10.
. 00-:r
0.
0.01
Concentration, ppb
Max Daily = 67.6
Mean Daily = 4.96
0.01
FIGURE D. 63
I I I j
0. 10
Duration (days)
* 1 +4
o 2 x 30
1.00 10.00
PercQnt of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crops
SOYBEANS
Koc:
1500
KS:
0.001
iir
100.00
KW:
0. 05
-------
0.01
100. 0004
_Q
o_
Q_
o
o
L
C
01
o
c
o
CJ
c
0 2
I •«-'
,—I
o
t/)
OJ
*D
•r-i
O
W
o;
Q_
10.000"
1.000-::
0. 100-
0.010-
0.001
' — '
0.10
'••' ........ '-'"I
1.00
Concentration, ppb
Max Daily = 2.13
Mean Daily = 0.01
10.00
i M|
100.00
Duration (days)
* 1 +4
o 2 x 30
•i—i—I-
0.01
FIGURE D,64
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Koc:
5000
ks:
0. 1
100. 00
kws
1.0
-------
0.01
100. OQQ.fr-
JD
Q_
CL
r* 10. ooo4-
p
a
L
P
g i.ooo±
c
o
u
a u
£ D 0. 100±
1—I
o
in
0)
T)
5 0. QlQ^r
0)
a.
0.001
0.10 1.00 10.00 100.00
•4 1 i—I--I ••! I-1-1 1 1 1—I-M i-H 1 » «—I—t-l-l 1-1 1 1 1—I l-l-l-l-l-
T
I
Duration (days) f
* 1 +4 t
o 2 x 30 i
i
Concentration, ppb
Max Daily = 2.61
Mean Daily = 0.02
H 1 1 1—f—h-*-+
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
, , ,—I 1 I I
WESTERN CORNBELT
SOYBEANS
5000
ks:
0. 1
100.00
kws
0.5
-------
JD
Q_
Q.
m.
c
o
•p
o
L
-P
C
01
o
c
o
o
c
o
.p
D
r—l
O
(f)
OJ
"D
O
•i-t
•P
w
01
CL
0.01 0.10 1.00 10.00 100.00
100. 000-^
*
1 i t i i i j ^ r i t ! i i i ( i i t i i i f 1 t i ijifji
: ' ' 1
r
i |
t Duration (days) T
j * "1 H- 4 t
10. 000 1
_
l.OOOi
0. 100-
0.010,
•
0.001-1
o 2 x 30
'. t
Y"
"*~~— ~ •*— (5==-*^.,
f
"8~-~3fcjfe^^ ' Y
.. oft-. j
r \\ ^'*&!W T
'-'xiv
! .. ^t^fe •
~~^^~~--~^-__ ^^v_
— ~~~— ^"x^
^""—K^^ ®\
- ~\ "••
" ^\\ $
\V
N^
N^
Concentration, ppb X.
[ Max Daily =3.26 \ A "
: Mean Daily = 0.02 \ \ i
\ \ 1
\\ t
HIIUUIU.--IL jm /fuujJjmiE^-iL i 1- - 1 t--|-|T 1 ijiiii 1 1 T in I - 4- 4I--I- • t— -. t 1 -..[ i -i. 1 — -A 1 ^x=. •;,.::tiw.:«l- 1 1 n_ . nA-.ir. ^ijoj^ 1 t I 1 1.1 i/V
-------
0.01
1000.00*-
Q-
Q-
o
•/-I
-p
o
L
•P
c
01
o
c
o
u
100. OO.r
V
O
CO
01
Tl
•rH
O
•l-t
-p
w
01
a.
10.00-
1.00-::
o. 104-
0.01
0. 10
-I 1—I—I I I I I 1
1.00 10.00 100.00
H—i—i • i i i i I 1 1—i—HI i i i I 1 1—i—j—j-m- r
Duration (days)
* 1 +4
o 2 x 30
Concentration, ppb
Max Daily = 9.56
Mean Daily = 0. 19
-I 1 ! 1—I I I I
H 1 1 1—I 1 I I
•) 1 1 1—I I I I
0.01
FIGURE D 67
hibUKt U. D/
0.10
1.00 10.00
of TimQ ConcQntration Excooded
RQqion:
K? CORNBELT
Crop:
SOYBEANS
Koc:
5000
ks:
0.01
100.00
kw:
1.0
-------
0.01
1 000. 00 -i
D_
Q_
j? 100. DO"
O
-P
D
L
-P
c
OJ
o
c
o
u
c
o o
I -.H
-J -P
^ D
r— <
O
OJ
T)
•iH
O
•r-l
OJ
Q-
10.00"
1.00"
0. 10-
!
0.01
0.10
' — ' — 1--
1.00
i : i i i i
10.00
100.00
1 — i — i i i i i
Duration (days)
* 1 +4
o 2 x 3C
Concentration, ppb
Max Daily =11.3
Mean Daily = 0. 25
1 1—f—r r t t
0.01
FIGURE D. 68
0.10
1.00
of TimQ ConcQntration
10.00
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Koc:
5000
ks:
0.01
100.00
kw:
0.5
-------
0.01
1000. 00"i
J3
a,
a.
o
•i->
•P
O
L
•P
£
01
O
c
o
o
100. 00"
a
i
O
10
01
TD
«i-i
O
•i-i
•P
0
CD
Q.
10.00-
1. 00-
0. IChr
0.01
0.10
» - * - 1 — !•• -I- I -I •••<-[
1.00
1 - 1 - i — I i til 1
10.00
1 - 1 - 1 — i- i^ ..... l-i I
100. 00
_j , , 1—!.-.;. j-t-L.
Concentration, ppb
Max Daily = 13.4
Mean Daily = 0. 35
Duration (days)
* 1 H- 4
o 2 x 30
H i 1—|—; i i -i-
0.01
FIGURED. 69
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
WESTERN CORNBELT
Crop
SOYBEANS
Koc:
5000
ks:
0.01
-I 1—h-t-Htflf
100.00
kws
0.05
-------
0.01
1000.00^-
0. 10
1.00
0
I
JD
CL
Q_
c
o
o
L
•P
c.
0)
o
c.
o
u
c
O
100. 00 ^r
W 3
, — i
O
in
0)
T3
-r-4
O
(I)
cu
Q_
10. OO.r
1.00 +
0. 10-
0.01
0.01
10.00
1 ........ 1 ...•) ..[ ..... I
100.00
1 - 1 - 1 ...| ........ ( .| ....... t ......
Concentration, ppb
Max Daily = 19.3
Mean Daily = 1.88
Duration (days) T
* 1 +4 j
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
-i 1 1 1—111- Iff
100.00
FIGURE D, 70 Region: • Crop;
WESTERN CORNBELT SOYBEANS
Kocs ks: kw:
5000 0.001 1.0
-------
0.01 0.10 1.00 10.00
1000. 00-ij
u I I 1 I I t f E I It tlllt ft f ItfTttff 1 >..
, I "I" " 1 '"'"I""" 1 r~ *—* |" I r I I '"i1"""11'! i -I J - -J^1"-11- - -- | 'i'"" |u-«ii..-| |.i.i.-uiij..n_ji|niT,-.,| •). | „• — I "»— (i • —..( — .. ...| i.,...»n
1
T
JD '.
o_
o_
c 100.00.
Q :
•r-»
-P
o
L
-P
C
g 10.00.
c :
o :
u
C
D O
1 ••-*
2 t! 1.00!
I — t
O "-
CO
01
T5
" n in-
.,-< U. 1 U .
•P :
OJ -
Q_
0.01-
Duration (days)
* i * 4
o 2 x 30
TT ~~ ^ ~ —-¥—
'CJi==:::fcss~^(.-___
~ + ^-^^^^^5*==,.^
""^^-i ^^*»^.j
^^^\?\,
^~^*~~~~--^tr~~~^_
^ =__
^^«^
- Concentration, ppb
: Max Daily = 22. 9
'. Mean Dai ly = 2.63
* ' I 1 1 1 1 i j 1 I llillfj i I Ililllj 1 I 11
0.01 0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE D 71 Region; Crop: Koc: kss
WESTERN CORNBELT SOYBEANS 5000 0,001
100. 00
1 1 I 1,
:
+
"t"
t
T
•4-
i
T
T
V
1
<
1
i i i ig
i
r
100.00
kw:
0.5
-------
0.01
0.10
1.00
10.00
100.00
o
I
ui
_o
Q_
Q_
C
O
P
O
P
C.
01
o
C
o
u
C
o
P
D
• — i
0
to
OJ
"D
O
•r-t
P
(0
OJ
Q_
1UUU. UU J
;
100.00-
10.00.
1.00-
0. 10-:
0.01-
• — — " — i _™T— — — , ? — , — y—f-^ — | ™» — : T— ••- f— — i j — — i — i — t — j — p — *— 1 — - — : — i 1 — t — t — j — i — i — |- : — i 1 1 1 — i — i — f — r—
Duration (days)
* 1 +4
o 2 x 30
^_
O ~^~=::i%==:=dfcz=_-=d>____^
"T • •'" " u T^ ™—— «isi • X-^^.,.^ ,t
— h—~ ^^^3*^==^
- ^^~^--(^r^s^
: ^^~^~->^>»-^
"^""^^^SSSt^^
1
r t
: i
- Concentration, ppb i
: Max Daily = 27.4 :
: Mean Daily = 4.07 :
f i f t t i I f ( i i I i i I J i 1 r f iiiiii- f ( T i 1 i i 1 1^
*" * 1 1 [ 1 f— | — ) — t j **-*• *~1 r™~- — i -1 r"~"l — S 1 | ^—^ ^ — j j™ f— f~~j j-^ - — f— j 1 f 1 | j— f*j
,
r
i
r
f
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE D 72 Region: Crop: Koc: ks: kw:
WESTERN CORNBELT SOYBEANS 5000 0.001 0.05
-------
0.01
1000. 00 "i
JD
ct 100.00'
c
o
o
L
-p
c
OJ
o
c
o
u
a
i -a
Q
•1-1
-P
W
01
Q_
10. OO.r
OJ l.OO.r
as
0. 10.r
0.01
0.01
0.10
1.00
i i i 1 1 1
10.00 100.00
i 1 1 1 - 1 - 1 — i — i — i i 1 1.
Concentration, ppb
Max Daily = 70.6
Mean Daily = 0.52
Duration (days)
* 1 -f 4
o 2 x 30
H 1 1 1—h-t~W-
^ - 1 - 1 — i — i i i i
f - 1 - 1 — i — i i i i-
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURED. 73 Region: Crop: Koc:
WESTERN CORNBELT CORN 50
ks:
0. 1
100. 00
kw:
1.0
-------
I
-J
-J
0.01
1000. OOi—
JD
8: 100.00+
c
o
'O
L
o
c
o
t->
"O
0)
m
01
"D
•1-1
O
m
Q)
a.
10. OO^r
1.00-
0. 10*
0.01
0.01
1
0.10
1.00
M-4
Concentration, ppb
Max Daily = 101.
Mean Daily = 0.76
10.00
i — )~»— i-H -- i
100.00
i — i — ii i i-
-i j-
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Porcgnt of TimQ Concontration ExcQQded
i 1—i-
FIGURE D. 74
Region;
WESTERN CORNBELT
Crop:
CORN
Koc:
50
ks:
0. 1
100.00
kw;
0.5
-------
0.01
1000. 00-i
-Q
ol 100.00'
c
o
-p
o
L
-p
c
0)
o
c
o
CJ
D
I ID
»J 0)
oo m
0)
T)
•r-t
o
•r-t
-P
to
0)
0.
10.00-
1.00-
0.
0.01
0.10
1.00
10.00
100.00
' - > — i — i
Concentration, ppb
Max Daily = 155.
Mean Daily = 1. 20
-i - 1 - 1 - 1 — I I I I
Duration (days)
* 1 +4
o 2 x 30
1 - 1 - ! - 1— I III
i 1 1—I—I I I I
0.01
FIGURE D.75
o.io i.oo
Parcent of TimQ ConcQntration
10.00
H 1 1—I I I I-
Reqicn:
WESTERN CORNBELT
Crop:
CORN
Koc:
50
ks:
0. 1
100.00
kw:
0.05
-------
0.01
1000. 00 i
0.10
1.00
10.00
100. 00
-O
CL 100.00
c
o
4-5
D
L
-P
C
01
o
c
o
o
"U
01
CD
"D
•r~>
O
•l-l
-p
-------
0.01
1000. 00 "k
_Q
8: 100.00
c
o
o
'
CO
o
O
L
-P
C
01
o
c
o
T)
gj
01
T3
"i-i
O
•i-i
-P
0
01
Q_
10.00"
1.00"
0. 10-
0.01
' - '
0.10
' — i ..... i -i-i-i-l
1.00
i ....... i ..... i-i-j
10.00
100.00
Concentration, ppb
Max Daily = 202.
Mean Daily = 8.27
_i 1_
Duration (days)
* 1 + X4
o 2 x 30
0.01
FIGURE D 77
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
WESTERN CORNBELT
Crop:
CORN
Koc;
50
ks:
0.01
100.00
kw:
0.5
-------
0.01
1000. 00 "i
0.10
o
I
CO
JD
c
o
O
L
-P
C
0}
o
c
o
o
"U
QQ
01
o
•r-t
4->
(0
Q}
Q_
100.00-
10.00"
LOO"
0. 10-r
0.01
' - ' — ' — ' — i ' '
1.00
i i i 1 1
10.00 100.00
I 1 I I I I 1 1—I—t I'"I 'I
Concentration, ppb
Max Daily = 31U.
Mean Daily = 13.3
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D. 78
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crops
CORN
Koc:
50
ks:
0.01
100. 00
kw:
.05
-------
0.01
1000. 00-i
0.10
1.00
100.00
8: 100.00
c
o
-p
D
L
-P
C
01
o
C
o
a <->
cxi "V
.M 01
m
ai
-o
•i-l
O
•l-t
-p
m
ai
a.
10.00-
1.00"
0.10-
0.01
Concentration, ppb
Max Daily = 2bi.
Mean Daily = 63. 7
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D. 79
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
WESTERN CORNBELT
Crop
CORN
Koc:
50
ks:
0.001
100.00
kws
1.0
-------
0.01
1000.00-Jr-
_o
8: 100.00
o
o
oo
u>
O
L
-P
C
01
o
C
o
"U
0)
m
01
T)
•i-i
O
•>-l
4J
0
at
a.
lO.OO.r
1.00-
0. 10-
0.01
' '
0.10
H—I i I I I
1.00
_l j 1—I—I I I I I i
10.00
H ( (—i—I (- ).. ( I
100.00
H 1 1 1—I I I I.
Concentration, ppb
Max Daily = 388.
Mean Daily = 85.5
Duration (days)
* 1 -1-4
o 2 x 30
0.01
FIGURE D. 80
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
CORN
Kocs
50
ks:
0.001
100.00
kw:
0.5
-------
100.00-:
a
i
00
*>
C
O
•ft
o
-P
c
OJ
o
c
o
o
OQ
ai
o
•t-l
•P
w
OJ
Q_
1000. 00 "i ' '—'—I I I I i I
10.00-
1.00-
0. lQ:r
0.01
Concentration, ppb
Max Daily = 5/1.
Mean Daily - 128.
Duration (days)
* 1 +4
o 2 x 30
M
1 - 1 - 1 - 1 — I ( I I
i - 1 - 1 - 1 — I ..... t-t ........ I ........
0.01
FIGURE D. 81
0.10 LOO 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crops
CORN
Hoc:
50
kss
0.001
100. 00
kws
0.05
-------
0.01
1000. 00+—
a
i
CO
en
_D
§: 100.00'
c
0
a
L
4J
C
OJ
o
c
o
u
TJ
01
CD
01
O
OJ
ci-
1.00-
0. 10-:
0.01
0. 10
_l (__)—I I I I I
1.00
-4 1—H
ConcGntration, ppb
Max Daily = 186.
Mean Daily = 1.58
10.00 100.00
I II I 1 1 1 1—I—M-
Duration (days)
* 1 +4
o 2 x 30
I I 111-
-f 1 1 1—lilt
1——f i—I I I I
H i 1—I—»—(-*•
0.01
FIGURE D. 82
0.10 LOO 10.00
Percent of TimQ Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
500
ks:
0. 1
100. 00
kws
1.0
-------
0.01
1000. 004
0.10
1.00
10.00
a
i
0°
JD
c
o
•t-<
.p
o
L
•P
C
01
o
c.
o
u
T)
OJ
CD
0)
T)
•r-H
O
•i—I
-P
0)
OJ
D_
100. OO-.r
10.00-
1.00-
0. 10-
0.01
' - ' — ' — ' i
Concentration, ppb
Max Daily = 259.
Mean Daily = 2.20
100. 00
i i ii
Duration (days)
* 1 +4
o 2 x 30
4-
H 1 1 1—I I I I 1 1 1 1—I I I I 1 1 1 1—I I I I hfi 1 1 1—III)
0.01
FIGURED. 83
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
Crop:
CORN
Koc:
500
ks:
0. 1
100.00
kw:
0.5
-------
0.01
1000. 00-t—
JD
c
o
•1-)
-p
D
L
-P
C
OJ
o
C
o
o
o
I TJ
CO g,
DO
OJ
"D
O
•i-i
«
0)
Q_
100. QO.r
10.00-
-J
LOO-
0. 10-
0.01
0.10 1.00
III! 1 1 1—I—I I I I ]
Concentration, ppb
Max Daily = 380.
Mean Daily = 3. 27
H 1 1—I I I I ! 1 1 1 1 1 I I I
0.01
FIGURED. 84
10.00 100.00
-) 1—I I < ( I 1 —( 1 !—I III-
Duration (days)
* 1 +4
o 2 x 30
Hfc -1 1 1—t—H-H-
0.10 1.00 . 10.00
Percent of Timo Concentration Exceeded
Crop:
CORN
Koc;
500
ks:
0. 1
100.00
kw:
0.05
-------
0.01
1000. 00 -±
JD
c
o
•rH
-p
0
L
-P
01
o
c
o
u
a
" T)
01
TJ
•rH
o
•rH
.p
w
01
Q_
lOO.OO^r
0. 10:r
0.01
' — '
0.10
i i 1 1 [
10.00
100.00
Concentration, ppb
Max Daily = 464.
Mean Daily = 28. 1
Duration (days)
* 1 +4
o 2 x 30
1 - f - 1 — [(II
1 - 1 — I I I I
4 1 1 1—I I I
0.01
FIGURED. 85
0.10 1.00 10.00
PQrcent of TiiriQ ConcQntration Exceeded
Reqion:
WESTERff CORNBELT
Crop:
CORN
Koc:
500
ks:
0.01
100.00
kw:
1.0
-------
o.oi
1000.00
_o
8: 100,00
c
o
a
CO
vo
o
L
-P
C
01
o
c
o
u
01
T3
•r-i
O
•iH
•P
w
(V
D.
10.00-
1.00-
0.10-
0.01
Concentration, I3pb
Max Daily = 848.
Mean Daily = 40.5
Duration (days)
* 1 +4
o 2 x 30
1 1 1—> |...-H-| 1 1 1 f I t [ f [ 1 1 1 1 I I I 1 | 1 1 1 1—I I I I
0.01
FIGURE D.86
0.10 i.oo 10.00
Percent of Time Concentration Exceeded
Region?
WESTERN CORNBELT
Crops
CORN
Kocs
500
ks:
0.01
100.00
kws
0.5
-------
0.01 0.10 1.00 10.00 100.00
1000. OO^i ' ' '—I I I I I I -L. u I I I I I I I I I 1 1 1—I I I I I I 1 1 1—I I I I l.r
JD
8: 100.00-
c
o
•p
o
L
•P
01
o
c
o
u
T>
0)
CD
01
T>
•rH
O
•H
-P
(/)
01
Q_
10.00-
LOO-
0.
0.01
Concentration, ppb
Max Daily = 958.
Mean Daily = 65. 7
Duration (days)
* 1 +4
o 2 x 30
H - 1 - 1 - 1 — I I I I
1 - 1 - 1 - 1 1 I ( (
1 1-
0.01
FIGURED. 87
0.10 1.00 10.00
Percent of Time Concentration Exceeded
100.00
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
500
ks: kw:
0.01 0.05
-------
a
i
vo
0.01
10000. 04 •-
JD
8:
c
o
"I—i
-P
o
L
-P
c
0)
o
c
o
13
0)
m
0)
T3
•i-t
O
•i-H
-P
-------
0.01
10000. 0~i
JD
8:
c
o
•I-H
-p
o
L
-P
c
0)
o
c
o
o
s^
m
OJ
~o
•I-H
O
•I-H
-P
0)
Q_
100. CI-
0. 1
0.10
1.00
10.00
100.00
Concentration, ppb
Max Daily = 1131
Mean Daily = 211.
Duration (days)
* 1 +4
o 2 x 30
1 - 1 - 1 — I — 111
1 - 1 - 1 - 1 — I — III
1 - 1 - 1 - 1 — I — III
1 - 1 - 1 - 1 — I — H-4
0.01
FIGURED. 89
0.10 1.00
PQrcQnt of TimQ ConcQntration
10.00
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
500
ks:
0.001
100.00
kw:
0.5
-------
0.01
10000. Of
0. 10
1.00
10.00
100. 00
_a
B:
c
o
•l-t
-p
a
L.
C
OS
o
c
o
a u
i
5 OJ
m
01
"O
o
0
OJ
Q_
100. Q--^
10.0-
1.0-
0. 1
Concentration, ppb
Max Daily = 1707
Mean Daily = 327.
i—i—i—i i i
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D.90
0.10 1.00 10.00
Percont of Timo Concentration Exceeded
Regions
WESTERN CORNBELT
Crop:
CORN
Koc:
500
hs:
0.001
100.00
kw:
0.05
-------
0.01
1000. 00 ~
-Q
8: 100.00
c
o
•r-l
-P
D
L
-P
C
OJ
o
c
o
10.00-
*•
CD 1.00-
QQ
0)
O
•l-l
8 aio+
Q.
0.01
0.10
' - ' — ' — ' i i 1 1 1
1.00
i — i — i i 1 1 [
0.01
Concentration, ppb
Max Daily = 205.
Mean Daily = 1.80
10.00 100.00
i i i 1 1 [ - 1 - 1 — i — >— i ii •!•.
Duration (days)
* 1 +4
o 2 x 30
1 1 1—I I I I 1 1 1 1—I I 1 I I 1 { ( 1—II III H* 1 1 1—1111'
0.10 1.00 10.00
PQrcQnt of TimQ ConcQntration Exceeded
FIGURE D. 91 Region:
WESTERN CORNBELT
Crop:
CORN
KOC:
1500
ks:
0. 1
100.00
kw:
1.0
-------
0.01 0.10 1.00 10.00 100.00
1000. 00"i ' '—'—'—' ' ' ' I ' '—'—'—'—' •' ' I ' ^—i—i—t-t-n-j 1 1—i—i—i—I--H-;
_p
CL 100.00
c
o
o
I
VO
in
-p
o
L
4J
c
01
o
c
o
u
T)
m
Qi
T)
•r-t
O
•l-l
-p
w
OJ
Q_
10.
51 1.00"
0. 10--
0.01
Concentration, ppb
Max Daily - 272.
Mean Daily = 2,38
Duration (days)
* 1 +4
o 2 x 30
f 1-
0.01
FIGURE D.92
0.10
1.00 10.00
of Time Concontration Exceedod
Region:
WESTERN CORNBELT
Crops
CORN
Koc:
1500
0. 1
100.00
kw:
0.5
-------
0.01
1000. QO-i
0.10
1.00
10.00
01
_o
c
o
-I-l
o
L
4J
C
01
0
c
o
o
OQ
OJ
TJ
•H
O
w
0)
Q_
100.00-r
10.00-
1.00-
0. 10-
0.01
' -- ' — ' — i -!••-< -t-
1 — i — i ............. I ........... i-i-i-
100.00
_)—I—t-i-l-l-1-
Concentration, ppb
Max Daily = 373.
Mean Daily = 3. 29
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D. 93
0.10 LOO 10.00
Percent of Timo ConcQntration Exceedod
i 1—i—i i i )•
WESTERN CORNBELT
Crop:
CORN
Kocs
1500
kss
0. 1
100.00
kw:
0. 05
-------
0.01
10000. Oi
-Q
8: 1000.
c
o
0. 10
1.00
10.00
100.00
o
D
L
4->
c.
OJ
o
c
o
01
*D
•1-1
O
43
OJ
0-
100.0-::
10.0-::
t
1.0-::
0. 1
Concentration, ppb
Max Daily = 642.
Mean Daily = 52.0
Duration (days)
* 1 + 4
o 2 x 30
1 - 1 - 1 — H — 1
0.01
-I-H - 1 - 1 - i - 1- ....... f ........ •« .......... I ...... HJ
0.10 1.00
1 1 1—1 I I I-
10.00
PercQnt of Time Concentration Exceeded
100.00
FIGURED. 94 WESTERR^=NBELT
Crop:
CORN
Koc: ks: kws
1500 0. 01 1. 0
-------
0.01
10000.0
CL 1000. O^fc
c
o
-p
o
L
-p
c
a;
o
c
o
o <->
us ~Q
co 01
CD
en
TJ
•rH
O
•1-1
-p
(/)
0)
CL
100.0*
10. Oir
LOI
±
0. 1
0.10 1.00 10.00 100.00
_l i—I—I I I l-l 1 1 1—I—I 1 1 I 1 1 1 I—1—I I I I I 1 i 1—I—I- .I...I I.
Concentration, ppb
Max Daily = 8/1.
Mean Daily = 72. 7
Duration (days)
* 1 +4
o 2 x 30
1 1 1 1—I I •!
0.01
FIGURED. 95
0.10 1.00 10.00
Percent of Timo Concentration Exceeded
Crop:
CORN
KoC:
1500
kS:
0.01
100.00
hw:
0.5
-------
0.01
10000.0-4—
-Q
B: 1000.0
c
o
D
-p
o
L
-P
c
0)
o
c
o
CD
01
TJ
•r-l
O
•1-1
-P
M
OJ
Q_
100.0-
10.0-
1.0-
0. 1
0.10
1.00
10.00
100.00
1 - 1 — I — I I I I
1 - 1-
Concentration, ppb
Max Daily = 1243
Mean Daily = 112.
0.01
FIGURE D, 96
Duration (days)
* 1 +4
o 2 x 30
H (_
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
1500
ks:
0.01
100.00
kw:
0.05
-------
D
JD
Q_
Q_
M>
C
O
•>H
O
L
-P
C
OJ
o
C
o
~o
OQ
01
TJ
O
(0
0)
CL
0.01 0.10 LOO 10.00
10000.0-:
1000.0-
100. QI
10.0-
1,0;
0. 1-
djf
r ^"^==ft^:=:3!^^
• "^^=:®35?a^
^®«fea.
/-s>^^
^*%
7
ConcQntration. ppb Duration (days)
Max Daily = 1888 * 1 +4
: Mean Daily = 397. o 2 x 30
, i i i i i t i 1 i i i i i i t i i 11 i i 111! i it
t i - i i i i i i ( i i i i i i i i i i i i j i i i j i ii
0.01 0.10 1.00 10.00
Percent of Time Concentration Excoodod
FIGURE D 97 Regions Crop: Koc: ks:
WESTERN CORNBELT CORN 1500 0.001
100. 00
_i t 1 t t
»-f'--t— f-«f»"i-
\
|
f
f
4
t
®v_ t
X "
\
V
*>
T
5
I
«-i-n-i--i( 4 -if ----|i,.
I I t I
[
S
100.00
kw:
1.0
-------
D
i
H
O
[— i
_Q
Q_
Q_
ft
C
O
•r-t
-P
D
L
C
OJ
o
C
o
u
TJ
0)
m
0)
•r-l
O
+J
to
0)
Q-
0.01 0.10 1.00 10.00 100.00
10000. Oi
1000.0-
100.0-
-»w J-LJIH-J; 1 -L- -r Tr . . ... ..Ill " i -IU::T| TI A 1 - tin vjgaljtiit | mjiimiili=i JIK^V L ---- t....J===^v^..^J-giiij==^=t--- 1 Ir. ...» ji -i: :: iinuuuui L I _j i .=t. v;;=— v'4 r- - mr-l.mviK JiEv-v;vl --- j - -1..- -rinn- uuu :i: TI _.,fjn;v-^E..:-- i:n 1 J 1 1 .:. :::i.|.i | t t-J-
"" " '"" <"'»=M««*" j1"' - • ' ' • •"•"{' ' I T - J f r ^CDJJ™J— | »mmiili=i]ii=^ |- -*™ 1 -===|-v j_ , rj J-™HJ^=J | f | ' * 1 ""I 3 nf if 1 J=vvv:C= in J . j ] :::!. J» J | J_i
: :
; i
i A
^'"'v^I M— — — _
^^ " n^T^
^^^^%**~
: ^^^s^ :
t- •^**^&*L
^jla.
^S»
By
*-
^V
\
f
: 1
: i
i
i
n
T
10. oi i
f -
1 :
A
1. 0-
0. 1-
Concentration, ppb Duration (days)
Max Daily = 2098 * 1 +4
\ Mean Daily - 546. • o 2 x 30 :
I j j ! )' 1 I 1 1 MI I I I f f I I [ [ 1 ! 1 "1 1 ' i ' { 1 1 1 1 1 1 t I 1
i
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE D 98 Region: Crop: Koc: ks: kw:
WESTERN CORNBELT CORN 1500 0.001 0.5
-------
0.01
10000. Of—
_Q
c
o
D
L
-P
c
0)
o
n
o
o u
I
H
o
to
QJ
0)
"D
•r-l
O
•r-l
-P
0
OJ
CL
t
1000.0*
100. Ot:
10.0-
1.0-
0. 1
0.10
1.00
_, - , — ,
i i i
Concentration, ppb
Max Daily = 2830
Mean Daily = 861.
10.00 100.00
1 - 1 - 1 — i I I I I,
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D. 99
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
1500
ks:
0.001
t;
100. 00
kw:
0.05
-------
0.01
1000. OOi
D
'
.D
c
o
•r-l
-P
D
L
-P
C
OJ
o
c
o
o
OJ
"D
•r-l
O
•H
-P
01
o_
100.00.:
10.00-
1.00-
0. 10-
0.01
0.10 - 1.00 10.00 100.00
-^J | ) 1 (—H | | 1 I 1 i 1 1—i ill! 1 1 1 1—I I M
Concentration, ppb
Max Daily = 2u4.
Mean Daily ~ 1.80
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D. 100
0.10 LOO 10.00
Percent of "lime Concentration Exceeded
Reqion;
WESTERN CORNBELT
Crop
CORN
Koc:
ks:
0. 1
100.00
Nw;
1.0
-------
0.01
1000. 00 i
0,10
CL 100.00'
c
o
-P
o
L.
C
01
o
c
o
u
D
I T)
0)
O
•rH
-P
W
0)
Q.
10.00-
l.OO^r
0. 10-
0.01
1.00
1111 ii| - 1
Concentration, ppb
Max Daily = 24o.
Mean Daily = 2.19
10. 00 100. 00
-I--1 1 1 i i 1—(-1 i-I i-j;
Duration (days)
* 1 +4
o 2 x 30
1 - i - f
H* - 1 - 1 - 1 — I -i ....... t ...... I-
0.01
FIGURE D. 101
0.10 1.00 10.00
Percent of TirtiQ Concontration Exceeded
Crop:
CORN
Koc:
5000
kss
0. 1
100. 00
kws
0.5
-------
0.01
1000. 00 i
-Q
B: 100.00'
o
-p
o
L
•P
C
01
o
C
o
m
0)
TJ
•iH
O
0
0)
Q_
10.00-
1.00-
0. 10-:r
0.01
0.01
0.10
1 1| —
1.00
-I - 1 — I — I — I .......... ( ......... (.. I
10.00 . 100.00
M I I 1 1 1 1—I I I I I
Concentration, ppb
Max Daily = 300.
Mean Daily = 2.69
Duration (days)
* 1 +4
o 2 x 30
_) - 1 - 1 — I — I ....... +
1 - 1 -- 1 — I — (_f— l_f
0.10 1.00 10.00
Pgrcent of Timo ConcQntration Excgoded
FIGURE D. 102
Crop;
CORN
Koc:
5000
ks:
0. 1
100. 00
kw:
0.05
-------
o
c
o
a <->
o
en DO
0)
TJ
•rH
O
•rH
-P
W
CU
Q_
10000. 0-i ' '—' i i i i i|
8: looo.o-
c
o
•rH
-P
D
L
-P
C
100. Q-.r
10.0-:
l.O.r
0. 1
Concentration, ppb
Max Daily = 835.
Mean Daily = 82.2
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I I I I 1 1 1 1—till 1 1 1 1—III! 1 1 1 1—I I I I
0.01
FIGURED. 103
0.10 1.00 10.00
PercQnt of Time ConcQntration Exceeded
Crop:
CORN
Koc:
5000
ks:
0.01
100.00
kw:
1.0
-------
0.01 0.10
10000. O^i - ' - • — ' — ' — ' ' ' ' i
_
B: 1000.0
c
o
-P
O
L
-P
c
0)
o
c
o
DQ
0)
T)
•iH
O
•iH
-P
CO
OS
Q-
100.0
10.0, r
1.0-r
0. 1
0.01
1.00
10.00
Concentration, ppb
Max Daily = 1044
Mean Daily = 108.
1 - 1 - 1 — I-'I-M-
Duration (days)
* 1 +4
o 2 x 30
100.00
1 - 1 - 1 - 1 [III
1 - 1 - 1 - 1 — t- I- I I
H 1 1 1—I I I I-
0.10 1.00 10.00
PGPCGnt of TimQ Concentration ExcQGdGd
FIGURE D. 104 Region: Crop: Koc:
WESTERN CORNBELT CORN 5000
ks:
0.01
100.00
kw:
0.5
-------
0.01
10000. O^t
JD
8: 1000.0
o
o
L
-P
c
0)
o
c
o
D <->
»L -o
o OJ
co OQ
01
O
•1-1
-p
(/)
01
CL
100.0-:
10.0-
1.0-
0. 1
0.01
0.10
' - ' - ' — '• I '' ' ! I
LOO
1 - 1 - 1 — ' -I- 1 I I I
10.00 100.00
1 - 1 - * — I ....... -i ............ I ........ I ..... I I — • - 1 - i - 1 — !•• I- 1- II-;
Concentration, ppb
Max Daily = 1331
Mean Daily = 150.
Duration (days)
* 1 +4
o 2 x 30
-I 1 1—I—1(11
0. 10 1. 00 10. 00
Percent of TimQ Concentration Exceeded
D 105
Region:
WESTERN CORNBELT
Crop:
CORN
Koc:
5000
hs:
0.01
100.00
kws
0.05
-------
0.01
10000.0^
-Q
§: 1000.0-
c
o
o
o
-p
o
L
c
OJ
o
c
o
u
"a
ai
u> CD
cy
O
•l-l
-p
w
0)
CL
100.0.:
10.0-
1.0"
0. 1J
0.01
0. 10
•H 1—I I I i
1.00
Concentratian, ppb
Max Daily - 3389
Mean Daily = 1105
Duration (days)
* 1 +4
o 2 x 30
_) 1
-t- i 1—I—fr-f-l-l-
)—I—I I I [ I
0.10 1.00 10.00
Percent of Tiine Concentration Exceeded
FIGURE D.I06
Crop:
CORN
Kocs
5000-
kss
0.001
100.00
100.00
kws
1.0
-------
0.01
0.10
1.00
10.00
100.00
_Q
O_
Q.
ft
C
O
•f*
o
L.
-P
C
Q
C
O
D U
L T3
M OJ
o CD
01
TJ
O
•,-t
-P
w
OJ
CL
1UUUU. U-:
1000. Oi
100. 0 -
10. 0.
1. 0-
0. 1-
;•• 1 • 1 1 1 — 1 — l l • l j l l 1 « — l — l l l | ••• --i "l 1 1 — I — l • l l ; ••"" "i ' l 1 1 — ) "i i i"j;
" &- 4-ft --i^_lJ6 M "*"
X" IC/ X" *^ &~7r— ~^^_ 4"
^^^*^-^ "
^K.^
7 ^Nt"
: Tfc
I
S
- l
* *
!
I
I
: ::
Concentration, ppb Duration (days)
Max Daily - 4181 #1 +4
: Mean Daily = 1544 o 2 x 30 :
nBtJ:r J- |===JJ=lB^i==|im= I.L1...-L-.. I t,- I14 Jnv-j-.-! t-u-I-^1— UE^;;;;;;;;^^--^--.!!":-!""^-^^;^^^^^-- t T fn,^L,^f::: L..t IIIU pl-41-IJ-. J J II II 1 l.lll TJ -JO, ±4 L ' . T^j 1 ^I'.A-I it-Al'l11 '"' " 'j- — - ' -L- \ 1 . -II 1. . . . .'. 1 . .. 1 ! I -1-.
lv::==,=:::™^::j=::::^^ J J •« -J4" .MJJl.wtl.J J,,,,B,|u= J.=: u«^v:::==r-, ^:.-:.l... 11 .. J----TTJI|-=i-...i..j.... , I , J. J J™lvv|u^J J.. . J. HI up, .41 „ j=cir ,, , .1,1., JL J.J L _ TJ^ | ^ I 'T "I -J-"-J-— -f-— J 4 -— $ J , ""J"-"f™«
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE D. 107 Regions Crop: Koc: ks: kw:
WESTERN CORNBELT CORN 5000 - 0. 001 0.5
-------
0.01
10000. 0-±
_
8: looc.o
c
o
D
-p
o
L
-P
C
OJ
o
c
o
0)
QD
0!
"U
•«-(
O
•I-*
-p
CO
o
Q_
100. fl-
. 0"
1.0-
0. 1
Concentration, ppb
Max Daily = 5694
Mean Daily » 2382
H 1 1 !—Fill •
Duration (days)
* 1 -i- 4
o 2 x 30
0.01
FIGURE DB 108
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region-.
WESTERN CORNBELT
Crop
CORN
Koc:
5000
kss
0. 001
100. 00
kws
0. 05
-------
o
o
0.01
100. 0004
0.10
-Q
c
o
• 1-1
4J
o
L
•P
C
0)
o
c
o
-a
a>
OJ
TJ
•r-l
O
•l-l
0)
Q_
10. OOO.r
1.000-
0. lOO.r
0. OlO.r
0.001
' — '
Concentrat i on.
Max Daily = 29.'0
Mean Daily = .39
1.00 10.00
-i-H - » — i — i — i i i 1 1 1
100. 00
i i 111
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D0 109
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop,
SOYBEANS
KOC:
50
ks:
0. 1
100.00
kw:
1.0
-------
0.01
100. 000^™
a
i
_Q
c
o
o
L
-P
C
a
o
c
o
LJ
10.000^:
TJ
I-. OJ
w GO
01
T3
-.-i
O
•r-l
-P
(/)
0)
Q_
1.000-
0. 100-
0.010-
0.001
0.10 1.00- 10.00 100.00
1 1' j ) 1 i—I—II I I I 1 1 i—1—i- i l-"t j 1 i 1—I—I I I 11
Concentration, ppb
Max Daily = 41. 4
Mean Daily = . 58
_} 1 1—I—I—I l,..l I J
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE 0=110
0.10 1.00 10.00
PorcGnt of Timo ConcQntration Exceeded
Region:
WESTERN CORNBELT
Crop
SOYBEANS
Koc:
50
ks:
0. 1
100.00
kw:
0.5
-------
100.
0.01
0.10
D
I
J3
c
o
-r-t
•P
D
L
4J
C
OJ
o
c
o
u
T)
OJ
GO
0)
"O
•^H
O
-P
OJ
Q_
10.000^:
1.000-
0. IQO.r
0.010-
0.001
' - ' — ' — ' — ' ....... ' .......... '
Concentration, ppb
Max Daily = 64. 8
Mean Daily = .98
Duration (days)
#1 +4
o 2 x 30
10.00 100.00
i— n-H - ' - * — ' — i t i 1
0.01
FIGURE D,111
0.10 1.00 10.00
Percent of Timo Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Koc:
50
ks:
0. 1
100.00
kw:
.05
-------
0.01
1000. 00~i
0.10
_Q
§: 100.00
c
o
o
I
o
L
-P
c
01
o
c
o
u
T3
01
-O
«r-l
O
•l-l
(I)
Q_
10.00-
1.00-
0.10.
0.01
' - ' — ' — i i i 1
1.00
-t 1 1
Concentration, ppb
Max Daily = 75.7
Mean Daily = 5.40
10.00
i ii 1 1
100.00
> .......... i 1 1.
Duration (days)
* 1 -»- 4
o 2 x 30
-i 1 I
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
WESTERN CORNBELT
SOYBEANS
Koc:
50
ks:
0.01
100.00
kw;
1.0
-------
0.01
1000. 004
o
I
-------
1000.
0,01
X)
S; 100.00+
c
o
D
-p
D
L
-4->
C
OJ
o
c
o
LJ
0)
CD
0!
~u
•r-t
o
• I— I
•P
(/)
m
o_
10.00-
l.OO.r
0. 10-
0.01
0. 10
1 1 1—I I I I I
1.00
10.00
_l 1—I—I I I I I 1 1-
100.00
Duration (days)
* 1 +4
o 2 ' x 30
Concentration, ppb
Max Daily = 1/0.
MQan Daily = 12.9
0.01
0.10 1.00 10.00
PercQnt of TimG Concontration Exceeded
WESTERN CORNBELT
SOYBEANS
Kocs
50
kss
0.01
.100.00
kws
.05
-------
-Q
n
D_
ft
C
o
•P
o
-p
c
OJ
o
c
o
0 U
' -0
£ 0)
03 QQ
0)
T3
O
41
0)
Q_
0.01 0.10 1.00 10.00
1000. 00 1
•
100. 00 ;
® X ' •^a=aB«&-j«^
>=^=r==^==^=a»_-^
/®«*=»,w»
r ^^^«h*^
:: ""^^^
10. 00.
l.OOi
0. ICh
0.01-
Concentration, ppb Duration (days)
: Max Daily = 188. * 1 +4
: Mean Daily = 57.5 o 2 x 30
I IIJlllI i Sillllij ! Illllll I IJI
0.01 0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURF D 115 Region: Crop: Koc: ks:
WESTERN CORNBELT SOYBEANS 50 0.001
100.00
1 III
1 1-1-1-3
•
""*•
NL :
\
\
1
-
i i 1 1
IT
:
f
•
100.00
kw:
1.0
-------
o
-Q
Q_
Q_
*
C
O
•p
D
L
-P
C
0)
o
C
o
~u
0)
m
0)
T!
O
-P
w
0)
0.01 0.10 1.00 10.00 100.00
1000.00;
:
100.00,
10.00,
1.00-
0. 10-
0.01-
1 1 i i i i r I \ i i t t t i [ I 1 I I 1 1 ! 1
: :
n - • . jfc
s_/ 'iflfl •••••-•-*. ,jp.
^^^^^'^ft^^*^
/\ *v7~^CiC3gfc.^^
^^yaa;-,!^^
• ' ^iiL "
^St-
: ^
1
- i
Concentration, ppb Duration (days)
: Max Daily = 256. * 1 +4 I
: Mean Daily = 77.4 o 2 x 30 :
1 1 1 1 t 1 1 f f t I f f f f f f I 1 1 1 1 t 1 I t 1 1 f lllltn
1 —— | J.. .. | [• J ( t | -1-lJl— I— -- — J )..... f | I | i 1 [ — -m™-ntvrt:::rt:H,v:::-vjv::-v(^j:l-:::v::_:rv ___ J _____ _| _ _ _ J J ( J_ l-J-J J v™.™™™»,«™«« .— J. ' I ' ' 1 | J 1 "| ""('"»
11
i
0.01 0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
FIGURE" n 11Q Region; Crop: Koc: ks: kw:
" " WESTERN CORNBELT SOYBEANS 50 0.001 0.5
-------
JD
n
D_
C
O
«rH
D
L
, -P
C
QJ
O
C
o
jl ~O
o 00
T3
O
•ft
0
Q_
0.01 0.10 1.00 10.00
1000.00-
100. 00 -
10. OOi
1.00-
0. 10-
0.01-
• *— —HJ *——___
X "ff'jft •• »y> m
^^^6-^j.
. ^9-^
Concentration, ppb Duration (days)
: Max Daily - 395. * 1 +4
• Mean Daily =116. o 2 x 30
i i i i i ! i i 1 ( i rtffiifl i i t t i i i i 1 n i t i m i i
' """"" - • t " -- - 1 •-- I 'I ' 1 I 1 1 H "m ITN|I |l ..._| i"--| ^~~| '("I " T 1 i 1 1 I 1 1 - 1 ,TV==^1 -T--«I==J |
0.01 0.10 1.00 10.00
Percent of Time Concentration Exceeded
"I CURE D 117 Region: Crops Koc: hs:
WESTERN CORNBELT SOYBEANS 50 0.001
100. 00
i i i 1 1
i \ i i n
•
*%^
fc-
:
•
Hhi
P
I
!
(
1
-.
1 iiii
I f * i i
1
I
1
r
r
100. 00
kw:
0.05
-------
1000.
0.01
_
CL 100.00 +
c
o
D
I
a
L
-P
C
0)
o
C
O
U
0)
m
OJ
Tl
•r-i
o
•f-l
-P
w
0)
Q_
10.00-
1.00-
0. 10-
0.01
0.01
0.10
' - ' — ' — '
1.00
i i [
10.00 100.00
i — i i i H - 1 - 1 — i — i — i i i i.
Concontration, ppb
Max Daily = 75. 8
Mean Daily = 1.26
Duration (days)
* 1 +4
o 2 x 30
-i - 1 - 1 - 1 — I I I I
1 - 1 - 1 - 1 — I I I I
1 1 1 1—I I 1-4-
0.10 1.00 10.00
Percent of TimQ Concentration Exceeded
WESTER^'cORNBELT SOYBEANS
Koc:
500
ks:
0. 1
100.00
kw:
1.0
-------
0.01
1000.00+—
J3
B: 100.004-
c
o
o
L
-p
c
OJ
o
c
D O
I (_)
H
is; -g
^ QJ
CD
QJ
O
•,-t
-P
(0
OJ
ci-
10. 00"
LOO-
0. 10-
0.01
0.10 1.00
_J—I—I I I I I I 1 1—I—I I I I I I
10.00
H ) (—I I I it f-
100.00
-i—i—i ...i .|.j4.
Concentration, ppb
Max Daily = 105.
Mean Daily = 1.8!
H 1 (—-I- i I I [-
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D.119
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Koc:
500
Ks:
0. 1
100.00
kw:
0.5
-------
0.01
1000.00^-
0. 10
1.00
10.00
100.00
_Q
CL 100.00
c
o
4J
D
L
P
C
O
C
D O
I CJ
DO
ai
"O
•I-I
o
•rH
-P
w
OJ
CL
10.00-
1.00-r
0. 10-
0.01
Concentration, ppb
Max Daily = 163.
Mean Daily = 2.83
H 1-—I 1—t-l I I 1 1 1 1—I I I I
Duration (days)
* 1 • + 4
o 2 x 30
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
WESTERN CORNBELT SOYBEANS
KOC:
500
ks:
0. 1
100. 00
kw:
0.05
-------
0.01
1000. 00-t—
JD
§: 100.00
o
•r-t
•P
O
L
•P
C
01
o
C
o
to
£»
m
01
-Q
•rH
Q
•rl
4J
(0
01
Q_
10.00-::
l.OO^r
0.01
' '
0.10 1.00
_H_| 1 1 1—i i I i i I
10.00
-I 1—I—I I I I 11
100.00
•H 1 1—I I' Mil'
Concentration, ppb
Max Daily = 455.
Mean Daily - 27.6
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D 121
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
WESTERNT CORNBELT
Crop-.
SOYBEANS
Koc:
500
Nss
0.01
100.00
Nw;
1.0
-------
0.01
1000. 004 '—-
§: 100.00'
c
o
-P
o
L
c
0)
o
c
o o
I O
tsJ
tn
00
01
TJ
•r-t
O
•1-1
•P
(0
(V
o_
10.00"
1.00^
0. 10"
0.01
0.10 1.00
_«_!_! 1 1—I—)—I I I I I—
10.00
H 1 1—i—i i i i I
100. 00
4 1 1 1 I I I I I
Concentration, ppb
Max Daily = 633.
Mean Daily = 40. 4
Duration (days)
* 1 +4
o 2 x 30
0.01
FIGURE D.122
0.10 1.00 10.00 100.00
Percent of Time Concentration Exceeded
Regions Crops Kocs kss kws
WESTERN CORNBELT SOYBEANS 500 0.01 0.5
-------
0.01
1000. 00*
.a
8: 100.00
c
O
O
L
-P
0)
O
C
D O
K)
CTi
01
CD
0)
TJ
•r-l
O
•i-l
4J
0)
01
Q_
10.00.:
1.00"
0. 10-
0.01
0.01
0.10
1.00
10.00
100. 00
Concentration, ppb
Max Daily = 933.
Mean Daily » 68.0
Duration (days)
* 1 + 4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
WESTERl?CORNBELT SOYBEANS
Hoc?
500
kss
0.01
100.00
kws
0.05
-------
0.01
0. 10
1.00
10. 00
100.00
10000. Oi
_D
S: 1000.0
c
o
•r-t
-P
D
L
c
OJ
o
c
o
u
QJ
CD
QJ
TJ
•rH
O
•r-t
-P
0)
QJ
Q_
100. O.r
10.0"
1.0-::
0. 1
H 1 1—I 'l-l-f-
H 1 1 1—I—I I I
-I 1 1—I—I I I I
0.01
Concentration, ppb
Max Daily = 743.
Mean Daily = 149.
-t 1—i—i—i i i i
Duration (days)
* 1 +4
o 2 x 30
H 1 1 1—I—1 I I
0.10 1.00 10.00
Porcont of TimG Concgntration ExcQQcJQd
100.00
WESTERN CORNBELT SOYBEANS
Kocs ks: kw:
500 0.001 1.0
-------
o
i
CO
0.01
10000. Oi »
S: 1000.0
c
o
•r-t
-P
a
L
-P
C
OJ
o
c
0
LJ
"O
OJ
m
cu
T)
•rH
O
•1-1
-p
w
Q)
100.0-
10. Chr
1.0.r
0. 1
0.01
Concentration, ppb
Max Daily = 1033
Mean Daily - 204.
Duration Cdays)
* 1 +4
Q 2 x 30
i—i—(—111
0.10 1.00 10.00
Percent of Time Concentration Exceeded
100.00
WESTERN CORNBELT SOYBEANS
Koc: ks: kw:
500 0.001 0.5
-------
0.01
10000. CH
-Q
ol 1000.0
c
o
0. 10
1.00
10.00
100.00
•p
o
L
o
? E
M CJ
K)
vo "O
OJ
00
01
"O
• -fl
o
"1-1
•p
(0
0)
Q_
100.0-
10. O.r
1.0-
0. 1
Concentration, ppb
Max Daily » 1532
Mean Daily = 324.
Duration (days)
* 1 +4
o 2 x 30
-) 1 1 1—| III 1 1 1 1—[-fit 1 1 ! 1 I I I H i 1 1 1—1 I I I'
0.01
0.10 1.00 10.00
Percont of Time ConcQntration Excggded
WESTERN CORNBELT SOYBEANS
Kocs
500
100.00
hs: hw:
0. 001 0. 05
-------
0.01
1000. 00 ~i
0.10
JD
8: 100.00
c
o
D
I
M
ui
-p
o
L
-P
C
0)
o
c
O
U
QJ
m
Q)
"O
•r-l
O
•r-t
-P
0)
Q)
CL-
IO. OO^r
l.OOir
0. 10-::
0.01
' - ' — ' — i
1 - 1 — i
1.00
1 1 [
1 - 1
10.00 100.00
•I I I 'h| 1 1 1—I—i I I i.r
Concentration, ppb
Max Daily = 79.3
Mean Daily = 1. 44
Duration (days)
* 1 + 4
o 2 x 30
H 1 1 1—I I I I 1 1 1 1—I I I I 1 1 1 1—I I I I
h—I—I I I I-
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
WESTERN CORNBELT SOYBEANS
Koc:
1500
ks:
0. 1
100.00
kw:
1.0
-------
0.01
1000. QQi '
-O
EL 100.00
c
o
O
L
-P
C
0)
o
c
D O
I LJ
H-
OJ "O
t- a
CD
01
T3
-.H
O
•rH
-P
w
0)
Q_
10. QQ-,r
1.00-
0. 10-
0.01
0.10 1.00
—f-H 1 1—i—i—i i i i I
Concentration, ppb
Max Daily = 105.
Mean Daily = 1.95
10.00 100.00
1 f 1 1—II III 1 1 1 1—I I I I
Duration (days)
* 1 +4
o 2 x 30
0.01
0.10 1.00 10.00
Percent of Time Concontration ExcQQdod
f
-f 1—I—I I I i
WESTERN CORNBELT
SOYBEANS
Koc:
1500
ks:
0. 1
100.00
kw:
0.5
-------
0.01
1000, 00-i
_Q
S:
o
O
L
-P
C
OJ
0
C
a o
i o
H
CD
0)
TJ
•r-t
u
•r-l
4->
W
Ql
CL-
IO. 00-:
1.00-
0. 10-
0.01
0.10
-» — ' — i ........ » ....... i ........ i- 1 ..... 1
1.00
Concentration, ppb
Max Daily = 14o.
Mean Daily = 2. 79
10.00 100.00
i i i 1 1 1 - 1 - 1 — i — i i i M.
Duration (days)
* 1 +4
o 2 x 30
•I f 1 1—I I-I'M — 1 1 1 i—till! f 1 1 1—1 I I I I H* 1 1 1—t—J—M-
0.01
FIGURE D. 129
0.10 LOO 10.00
Percent of Time Concentration Exceeded
Koc:
1500
100. 00
ks:
0. 1
0.05
-------
0.01
10000. 0-i > '
JD
CL 1000.0
c
o
0. 10
1.00
10.00
100. 00
D
L
.p
C
QJ
O
V S
t t t_J
£ -o
OJ
£3Q
0>
"O
•H
O
-P
O
Q_
100.0-
10.0-
1.0"
0. 1
Concentration, ppb
Max Daily = 624.
Mean Daily = 51. 5
Duration (days)
» 1 +4
o 2 x 30
1 1 1 *~<•"»
-j 1 ( 1—I..-! t,,|.| j—. ( ) )—I f .< i
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
FIGURE D. 130 Regioni Crop Koc5
WESTERN CORNBELT SOYBEANS 1500
kss
0.01
100.00
kws
1.0
-------
10000.
0.01
0.10
1.00
10.00
100. 00
-t 1 1 !• l-l ! | 1 1 1 1—I I 1 I | 1 1 1 1—I I I 1 | 1 1 1 1—I- I I l-r
JD
8: 1000.0
o
-P
O
L
4->
C
0)
o
C
o
CJ
CD
Qi
T3
•rH
O
•rH
-P
to
0)
Q_
100.0-:
10.0*
1.0 +
0. 1
8
Concentration, ppb
Max Daily = 830.
Mean Daily = 72.8
Duration (days)
* 1 +4
o 2 x 30
H --- 1
1 - 1 - 1 - 1 — 1111 - 1 - ! - 1 - 1 — III)-
0.01
0.10 1.00
PorcGnt of TimQ ConcQntration
10.00
~ "
WESTERN CORNBELT
SOYBEANS
Koc:
1500
ks:
0.01
100. 00
kw:
0.5
-------
o
o
o
o
-+H-HH--
o
o
• *
a ••
o
o
a
^—i
•
a
i—I
a
—JHH-H-t
i m—|nia i i i—i-
" "
0)
o
Q
c
X D
a ai
ii 11 i i i—t-
II I I I I
CO
a
a
a
o
a
o
o
•
o
a
qdd
a
•
o
peg 3pioiq.s9,-j
D-135
a
o
.. o
I o
I
o -o
a o)
t O
o
a
o
-- a
.a
QJ
QJ
O
X
LU
C
O
a
C
Q)
O
C
O
CJ
QJ
E
O
4-5
C
OJ
o
i,
QJ
Q_
ID
a
o
o
LO
CO
°
CQ
O
CO
_j
LU
OQ
z
a:
a
CJ
Ql
ct:
ct:
LU
i—
CO
LU
C\J
•»—(
a
a
LU
ID
i—i
LL.
-------
0.01
10000. 0-i
JD
8: 1000.0
o
.p
o
.p
•c.
Q>
O
C
o
CJ
m
o
•1-1
-p
to
OJ
Q_
100.0-
10.0.:
0. 1
' - ' — '
0.10
i 1 1 1
1.00
i i i 1 1 1
10.00
i i i 1 1 1
100.00
H 1 1 I I I 1.7
Concentration, ppb
Max Daily = 1717
Moan Daily = 384.
Duration (days)
* 1 +4
o 2 x 30
•4 1 1 1—I III- i 1 1 1—I I I I 1 1 1 1—I I I I I 1 1 1 1—I I I I
0.01
0.10 1.00 10.00
PQrcQnt of TitnQ Concgntration ExcQQded
WESTERQN91CORNBELT SOYBEANS
Koc:
1500
100.00
ks: kw:
0.001 1.0
-------
0.01
10000. 0-i
0. 10
1.00
10.00
100. 00
S: 1000.04-
c
o
D
I
•P
O
L
4->
n
at
o
c
o
u
01
m
ai
-a
•i-i
o
0
OJ
100. 0-
10.0-
0. 1
Concentration, ppb
Max Daily = 1919
Mean Daily = 531.
Duration (days)
* 1 + '4
o 2 x 30
-f 1 1 1—I III-
0.01
FIGURE D,134
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Regions
WESTERN CORNBELT
Crop:
SOYBEANS
Kocs
1500
100. 00
ks: kws
0.001 0.5
-------
co
0.
10000. 0-:
JD
8: 1000.0-
*
c
o
•rH
•P
o
f
+> 100.0.
C :
a
o
c
o
o
"i 10.0-
m :
-D ;
o
"l-(
1 1. 0,
OJ :
O, ;
n 1 -
01 0.10 1.00 10.00 100
M
g? • ' • • ' ' pq i. i u
i ^^^*~^9***^1
: HBL-
Te-
ll
8
.. «
« —
ConcQntration, ppb Duration (days)
Max Daily - 2332 * 1 +4
: Mean Daily - 847. o 2 x 30
1 1 1 1 1 — 1 — I— »-l , 1 1 1 1 ( — f t 1 1 ! 1 1 1 1 — 1 — 1-4-1 1 1 1 1 1 — 1 1 1-
.00
0.01
TGURF 0 135
i b Jttt LJ. 1 dD
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region;
WESTERN9 CORNBELT
Crops
SOYBEANS
Koc:
1500
ss
0.001
100. 00
kw:
0.05
-------
0.01
100. 000 "i
JD
c
o
•1-1
-p
o
L
-P
C
01
o
c
o o
01
CO
OJ
T3
•r-i
O
01
Q_
10.000-:r
1.000-
0. 100"
0.010^:
0.001
0.01
0.10
1.00
10.00
100.00
* - ' — '
Concentration, ppb
Max Daily - 84.0
Mean Daily = 1. 45
Duration (days)
* 1 +4
o 2 x 30
_| ( ( H
-I 1 1 1—I I I I
4 1 j 1_
0.10 1.00 10.00
Percent of Time Concentration Exceeded
WESTERN CORNBELT
SOYBEANS
Kocs
5000
ks:
0. 1
100.00
kws
1.0
-------
0.01
100. 000-i
10.00
o
0
8:
c
o
•1-1
-p
o
L
-P
C
Q)
O
0)
m
01
T)
•1-1
o
•1-1
-p
w
01
Q-
1.000-
0. lOO.r
0.010-
0.001
' — • — '
Concentration,
Max Daily = 98/4
Mean Daily = 1.78
H 1 1—I I I I | H
Duration (days)
* 1 +4
o 2 x 30
100.00
i i 1 1.
H 1 1 1—h-
i i i i
0.01
0.10 1.00 10.00
PQrcQnt of TimQ ConcQntration ExcQQded
WESTERN CORNBELT
SOYBEANS
Koc:
5000
ks:
0. 1
100.00
kw:
0.5
-------
0.01
100. 000-i
c
o
D
L
4->
c
OJ
o
c
o o
I LJ
0)
00
CO
T)
•rH
O
•rH
4-)
W
01
0-
10. OOO.r
1.000-
0. 100-
0.010-
0.001
0.01
0.10
' - ' - ' — ' ' I ' ' I - 1
10.00 100.00
1 - 1 - 1 — I I I I I I - 1 - 1 - 1 — I I I I I.
ConcQntration, ppb
Max Daily = 116.
MQOH Daily = 2.23
Duration (days)
* 1 +4
o 2 x 30
1 1 1—I I I I
H 1 1 1 f I I I
H 1 1 1—I 1 I I
0.10 1.00 10.00
PQrcQnt of lime ConcQntration ExcQGdGd
FIGURE D. 138 Region: Crop: Koc:
WESTERN CORNBELT SOYBEANS 5000
ks:
0. 1
100.00
kw:
.05
-------
0.01
10000. £H - «
OL 1000.0'
o
o
I
-p
o
L
-P
c
OJ
o
§
DO
01
-Q
•r-t
O
•r-t
-P
0)
0)
Q_
100. 0-r
io.o4
1.0"
0. 1
0.01
0.10
1.00
"I -I- 1 I l-l
10. 00 100. 00
• i 1—i—1 .-l..l..-i .1-
Concentration,
Max Daily = 748.
Mean Daily = 81.5
Duration (days)
* 1 f 4
o 2 x 30
1 - i - 1 - S — t • I it'
1 - 1 - ! - 1 — till
-I 1 1—I—i „(. i.-l-
0.10 1.00 10.00
Percgnt of Time Concentration Exceeded
D 139 Region: Crop: Koc:
" " WESTERN CORNBELT SOYBEANS 5000
ks:
0.01
100.00
kw:
1.0
-------
0.01
10000.0-1
0. 10
1.00
10.00
100. 00
O
8:
c
o
•1-1
-p
o
L.
C
OJ
o
n
cu
CD
QJ
T)
•1-1
O
w
Q)
Q_
100.0-
10. O^r
1.0"
0. 1
Concantration, ppb
Max Daily = 913.
Mean Daily = 108.
Duration (days)
* 1 +4
o 2 x 30
1 1 1 1—t I >"!••'
0.01
0.10 1.00 10.00
Percent of Time Concentration Exceeded
WESTER9N91CORNBELT
SOYBEANS
Koc:
5000
0.01
100.00
kw:
0.5
-------
0.01
10000.0^
XI
o
o
L
C
cu
o
9 §
*»
u
0)
CD
OJ
"D
•r-(
O
•1-1
4J
«
OJ
Q.
1000.0-
1.00.0"
10.0"
1.0-
0. 1
Concentration, ppb
Max Daily = 1136
Mean Daily = 151.
Duration (days)
* 1 +4
o 2 x 30
0.01
1 "
0.10 1.00 10.00
PercQnt of Time Concentration Exceeded
WESTERN CORNBELT
SOYBEANS
KOC:
5000
kss
0.01
100. 00
kws
0.05
-------
0.01
10000.0*—
-Q
B: 1000.0
c
o
-p
o
L
•P
01
O
C
o o
I O
ui
00
01
"D
•i-*
O
tt
01
Q.
100.0-
10.0.:
1.0-
0. 1
0.10 1.00 10.00 100.00
H—I—|-}-|_j ) 1 1 1—Mi ..|-| 1 1 1 1—t III-] 1 i »—H—I—»-4-
Concentration, ppb
Max Daily - 3180
Mean Daily = 1063
0.01
FIGURF n 142
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
Region:
WESTERNT CORNBELT
Crop:
SOYBEANS
Koc:
5000
0.001
-M-
100.00
kw:
1.0
-------
JD
c
o
O
-P
c
0)
o
o o
QJ
CD
0)
TJ
•rH
O
Ql
Q_
10000. 0^ « 1- i
1000.0 +
100. 0:r
10. Q-.r
1.0-
0. 1
Concentration, ppb
Max Daily = 3664
Mean Daily = 1491
Duration (days)
* 1 +4
o 2 x 30
H i 1 1—I I I I I 1 1 1 1—I I I I I 1 1 1 1—I 1 I 1 | 1 1 1 1—I I I
0.01
0.10 1.00 10.00
PQrcgnt of TimQ ConcQntration Excooded
WESTERN CORNBELT SOYBEANS
Hoc:
5000
100.00
ks: kws
0.001 0.5
-------
0.01
10000. 0+-
ct 1000.0
c
o
c
CD
O
C
o o
H °
*; T3
-J 0!
m
Q)
-o
•i-t
o
-p
(U
Q,
100.0"
10.0-
1.0-
0. 1
0.01
0. 10
1.00
_j—)—i—1_
10.00 100.00
_i—)—i i 111 1 1—i—i 11 f-i
Concentration, ppb
Max Daily = 5064
Mean Daily = 2310
Duration (days)
* 1 +4
o 2 x 30
0.10 1.00 10.00
Percent of Time Concentration Exceeded
CURE D 144
Region:
WESTERN CORNBELT
Crop:
SOYBEANS
Kocs
Nss
0.001
100.00
kws
0.05
-------
0.01
l.OOOOi—
D
\
en
T3
D
o
_J
X.
0. 1000"
V
00
0.0100-
T3
•f-t
a
8 0. 0010
a.
0. 0001
0.10
•4 1—I -I-I Ml
1.00
_j 1-
i i
10. 00
1 — I — I I 11)1
100. 00
1 - I — I — I I I I I
Hoc: (ml/gm)
* 50 +1500
o 500 x 5000
Max Daily Load
(kg/ha)
Hoc 50s 0.0687
Koc 500s 0.0284
Koc 1500; 0.0135
Koc 5000: 0.0070
0.01
FIGURE D. 145
0.10 1.00 10.00
Percent of Time Daily Load Exceeded
100. 00
Regions
WESTERN CORNBELT
Crop:
CORN
ks;
0. 1
-------
0.01
1.0000-ir
0. 10
_l )—I—)—I !.)-<
100.00
4 -H 1 1—i i t
Kocs
-------
0.01
1.0000*
0.10
LOO
0. 1000::
o
.c
Ul
jc:
T3
O
O
D ^"Q. 0100
I •£
M o
ui a
o
Ql
-o
•i-«
O
•r-l
4->
O.OOlOi:
a.
0. 0001
10.00
! i—I—1 1 1 -I
100. 00
-i ! 1 1 II I !•
Kocs (nil/gm)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50s 0.0866
Hoc 500; 0.0922
Koc 1500s 0.0707
Koc 5000s 0.0743
0.01
FIGURE D. 147
0.10 1.00 10.00
Percent of Time Daily Load Exceeded
100.00
Region:
WESTERN CQRNBELT
Crop:
CORN
ks:
0.001
-------
0.01
l.OOOCHr
o
_c
\
en
o
o
0. 1000-r
x.
-r-i
iL o
[n Q
H OJ
"D
O
0. 0100-:
8 o.ooio
Q_
0.0001
0.10 1.00 10.00 100.00
-I 1—I—<—1-4-| 1 1 1 1—t—1 ! I I 1 1 •) 1—1 • I I I-I i 1 1 1—I- ! "I"'!'
Koc: (ml/qm)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50s 0.0996
Koc 500: 0.0294
Koc 1500s 0.0140
Koc 5000s 0.0078
0.01
FIGURE D. 148
0.10 1.00 10.00
Percent of Timo Daily Load Exceeded
100. 00
Region;
WESTERN CORNBELT
Crops
SOYBEANS
ks:
0.1
-------
0.01
1.0000*
10.00
100. 00
o
m
TJ
O
O
_J
0.1000-
0.0100::
o
Q_
0.0010::
0. 0001
Koc: (ml/gm)
* 50 * 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50s 0.1096
Koc 500: 0.0701
Koc 1500: 0.0476
Koc 5000: 0.0308
0.01
FIGURE D,149
0.10 1.00 10.00
Percent of Time Daily Load Exceeded
100. 00
Region;
WESTERN CORNBELT
Crop:
SOYBEANS
ks:
0.01
-------
0.01
1.0000*
0. 1000"
a
ji
m
_£
-O
a
o
a -^0.0100
- S
m a
OJ
0)
T3
•f-i
O
•i-i
^->
0.0010-
D-
0.0001
100.00
^ 1—i—i— i i i I-
Koc: (ml /am)
* 50 + 1500
o 500 x 5000
Max Daily Load
(kg/ha)
Koc 50: 0.1137
Koc 500: 0.0937
Koc 1500: 0.0793
Koc 5000: 0.0776
0.01
FIGURE D. 150
0.10 1.00
PQrcQnt of Timg Daily Load
RQgion:
WESTERN CORNBELT
10.00
100. 00
Crop:
SOYBEANS
ks:
0.001
-------
-------
APPENDIX E
PESTICIDE CONCENTRATION AND RUNOFF FREQUENCY CURVES FOR THE
CENTRAL PLAINS REGION
(INCOMPLETE)
Frequency curves and pesticide loading
data were not completed for the Central
Plains agricultural region.
E-l
-------
-------
APPENDIX F
STATISTICAL ANALYSIS OF TIME SERIES DATA
F.I INTRODUCTION
The objective of environmental modeling is to mathematically
represent real-world environmental systems so that'we can then
use the model to learn more about system behavior under both
existing and alternative conditions.
However, when we simulate environmental systems we rarely
match exactly what is observed. There are several
possibilities for explaining these discrepancies (Young and
Alward, 1983):
• There may be errors in the mathematical description of
the real-world process (i.e., the model algorithms)
* There may be errors in the observed measurements that
have been made
• There may be errors in the input parameters or time
series required to use the model
Figure F.I schematically shows where errors, or differences,
can occur whenever model results are compared to field
measurements from a natural system, such as a watershed.
Similar to the categories listed above, Donigian (1982) has
discussed the various types of errors that can occur in a
model application, in terms of input errors. Whenever a
measurement or observation is made, a potential source of
error is introduced. Although these errors may be difficult
to detect, users of the data should be informed of the
potential uncertainty involved and consider these
uncertainties during model application.
F-l
-------
In spite of these errors or differences, in the discussions
which follow the observed phenomena are assumed to be
perfectly measured and the sources of error rest with the
model and its various inputs above. We will concern ourselves
mainly with the analysis of simulated and observed time series
to determine how well these two agree (i.e., goodness-of-fit)
discounting any potential errors in the observed measurements.
Goodness-of-fit tests can be used for a variety of purposes,
including: to ascertain when our model calibration effort is
good enough, and to ascertain if, given a good calibration, we
can expect the model to perform well during another time
period (verification).
SYSTEM INPUTS
MODEL
Representation)
Parameter
Estimation
' "I
Cal ibration
I Parameter
i Adjustment
I mmt
NATURAL
SYSTEM
Calibration/Verification
^
r
MODEL VALIDATION
^_ Observed^1
^~ Values .
Sys"
Out
Figure F.I Model versus natural systems:
errors (Donigian, 1982).
inputs, outputs, and
F-2
-------
F.I.I Exposure Assessment and Time Series Analysis
In addition to providing a means of evaluating . model
performance, time series information is also used in this
report as an integral part of an exposure assessment for toxic
chemicals. An exposure assessment is a determination of the
magnitude (concentration) of a toxicant to which an organism
will be exposed over a given period of time (duration). The
model produces a time series of toxicant concentrations in a
specific medium (e.g., water, air, soil) such as appears in
Figure F.2. The time series can be compared to a critical
value of the concentration y (this might be, for instance, the
LC50 value, i.e., concentration for 50% mortality). This type
of analysis easily shows if the criterion is exceeded and
gives a qualitative feel for the severity of the exceedance
state. If we determine how often it is at a particular level
or within a specified range we can create a frequency
distribution of the values of "y" (Figure F.2a). If, in
addition, we choose any value of y in Figure F.2a and
determine the area under the curve to the right of that value,
we can plot Figure F.2b, which is a cumulative frequency
distribution of the toxicant concentration. In other words,
it shows the chance that any given value "y" that we select
will be exceeded. If our example time series is long enough,
then the "chance" approaches the true "probability" that "y"
will be exceeded.
Thus far, only the concentration to which the organism will be
exposed has been discussed and nothing has been said
concerning the duration of the event. If we take the same
time series and impose a window of length t on it at level y_
C— C*
Figure F.3), and move it incrementally forward in time, we can
make a statement concerning the toxicant concentration within
the duration window. Normally, the average concentration
F-3
-------
o
7!
2
«*••
o
a
o
O
Time (t)
Figure F.2 Time series plot of toxicant concentration.
Concentration (y)
Figure F.2a Frequency distribution
of toxicant concentra-
tions .
Concentration (y)
Figure F.2b
Cumulative fre-
quency distri-
bution of toxi-
cant concentra-
tions .
F-4
-------
c
o
•S3
CO
4->
C
0)
o
c
o
o
Time (t)
Figure F.3 Time series of toxicant concentrations with moving
average window of duration t .
\*r
within the window is used. The resulting cumulative frequency
distribution shows the chance that the moving average of
duration t_ will exceed the critical value of "y", y_.. The
v- C
moving average window should be the same length as that
specified for yc. For instance, if the 48-hour LC50 is the
criterion, a 48-hour moving window should be used to average
the data in the simulated time series. The use of the moving
window or averaging the time series allows us to compare both
the concentration and duration against the standard.
The
chance or probability that the moving average
concentration exceeds the survival standard of a given species
is the essence of the exposure assessment. This type of
information provides an estimate of the risk taken in using
this chemical under the conditions of the model simulation.
In this manual we are discussing exposure from instream
pesticide concentrations produced by pesticide runoff from
fields. How, then, does this fit within the general framework
F-5
-------
of an exposure assessment? Figure F.4 demonstrates the
relationship. The pesticide is introduced to the watershed
system at the top of the figure. Precipitation events produce
runoff and sediment transport events, which, at the field
scale, are intermittent. That is, runoff and transport only
occur during or immediately following rainfall (or snowmelt)
events. The pesticide, either dissolved in water or attached
to sediments, moves off the field into adjacent streams. In
these streams, the dissolved pesticide may be diluted by
uncontaminated water and pesticide attached to sediments may
be deposit to the stream bed. In general, because of these
mixing processes, the stream system produces a more continuous
time series of concentrations, especially if the pesticide is
not subject to.rapid degradation. It is these concentrations
in the stream to which aquatic species or humans may be
exposed, and therefore are used in the exposure assessment.
Thus, pesticide runoff information must be linked with
instream conditions in order to perform a complete exposure
assessment.
F.I.2 Choice of Method of Analysis
Goodness-of-fit techniques can be applied to a number of
statistics derived from the observed and simulated time
series. Aitken (1973) demonstrated several techniques of
model analysis including mean, standard deviation, coefficient
o
of determination (r ), coefficient of efficiency, serial
correlation coefficients, sign tests and residual mass curve
coefficients. Young and Alward (1983) used the coefficient of
variation and the Kolmogorov-Smirnov test in determining
goodness-of-fit of ARM and NFS model calibrations. Chen et
al. (1984) used student's t and P tests to test mean and
variance, and the sign test, Kolmogorov-Smirnov (K-S test),
F-6
-------
AGRICULTURAL
FIELD SYSTEM
o
2
w
111
0.
STREAM
SYSTEM
z
Z Ul
•" 5
u —
Q O
if LJ
o o)
£ tt
S e
o. C
INPUT
(PRECIPITATION, PESTICIDE)
1
A A
OUTPUT
(RUNOFF, SEDIMENT, PESTICIDE)
A
INPUT
(RUNOFF, SEDIMENT, PESTICIDE)
OUTPUT
(STREAMF.LOW,SUSPENDED/BED
SEDIMENT, PESTICIDE)
TIME SERIES FOR EXPOSURE ASSESMENTS
Figure F.4 Schematic of natural systems which produce
environmental time series of pesticide
concentrations.
F-7
-------
Pearson product-moment correlation coefficient, and the
McCuen—Snyder index (McGuen and Snyder, 1975) to indicate
goodness-of-fit.
The fact is that there are a number of tests which can be used
to test differences in various aspects of two time series. No
single test will be best for all circumstances; multiple tests
statistics should be generated and analyzed. Goodness-of-fit
tests should also be tailored to those aspects of the time
series important to the problem at hand. For instance, if one
is concerned with flooding, the tests should concentrate on
peak flows? whereas if one is interested in dissolved oxygen,
correct simulation of low flows would be most important.
Thus we are guided to the question, "Which variables and
corresponding statistical tests should be used to evaluate the
calibration of models for simulation of pesticide runoff?".
Obviously volume of water is important purely from a dilution
standpoint. Since pesticides are transported in runoff events
from the watershed, peak storm flows are important. Because
pesticides are partitioned between sediment and water, the
simulation of sediment movement is also important. The
simulation of peak flow, then, becomes increasingly important
for strongly adsorbed pesticides since sediment transport,
either from the land surface or instream, can be described -as
power functions of flow with exponents >1.0. Proper
simulation of velocity (or flow) is important for strongly
adsorbed chemicals when the velocities are above the scour and
deposition shear velocities of particles to which they are
attached. For weakly adsorbed pesticides, sediment and hence
peak flows should probably be deemphasiEed with proper
simulation of runoff volumes given more attention. The key
concept here is that the emphasis for analysis may shift
depending upon pesticide properties. If we are interested in
calibrating the hydrology and sediment transport model to
F-8
-------
enable us to simulate pesticides with wide ranges of
adsorption properties, it is important to simulate both flow
rate (as well as velocity) and volumes properly, over the full
range of watershed response.
In addition, models can be calibrated in the frequency or real
time domains. That is, we can use tests to tell us if the
frequency responses of the simulated and observed data are not
different or if the point-to-point (real time) simulated and
observed results are not statistically different.
Many times it is useful to compare the frequency with which
events of certain magnitudes occur in both the observed and
simulated model outputs. This is accomplished by grouping the
data to intervals and counting the number of occurrences in
each interval in the observed and simulated data sets.
The construction of frequency histograms is a relatively
straight-forward procedure. Consider the flow data in Table
F.I. Twenty-one intervals of 25 cfs each were established
(Table F.2) and the number of flows in each of the intervals
was counted. These counts appear in columns (3) and (4). The
collective of these interval counts is called a frequency
histogram. When the count in each interval is divided by the
total number of occurrences in the histogram (cols. (7) and
(8)) a relative frequency histogram results (i.e., the area
under the histogram is unity). When these relative counts are
summed over each interval a cumulative relative frequency
histogram results. This cumulative histogram can be used in
statistical testing of model simulation results. As the
intervals become smaller, the cumulative histogram becomes a
cumulative frequency distribution as shown in Figure F.2.
The Kolmogorov-Smirnov two-sample test is one that represents
a more or less "holistic" comparison technique for observed
F-9
-------
TABLE P.I INDEPENDENT OBSERVED AND SIMULATED FLOW TIME SERIES
FOR THE ARROYO COLORADO AT WESLACO, TEXAS
s
124.95
133.79
192.50
130.98
140.75
114.95
119.38
172.73
162.89
117.13
138.81
138.17
160.38
359.02
104.71
88.97
92.15
116.61
105.28
91.82
80.14
72.80
219.67
78.48
90.69
O
126.
114.
113.
102.
92.5
95.7
141.
155.
106.
108.
140.
111.
168.
307.
119.
149.
171.
174.
157.
139.
122.
112.
325.
132.
133.
S
86.33
82.96
80.51
78.72
107.33
81.31
87.85
267.97
104.67
99.2
96.28
93.52
136.07
223.16
123.13
120.19
119.05
117.02
171.82
124.32
126.95
138.16
146.92
2465.2
222.22
0
113.
149.
98.5
121.
111.
114.
107.
121.
92.90
89.0
92.5
101.
94.3
188.
82.3
117,
105.
152.
138.
136.
150.
148.
144.
1410.
131.
S
151.45
237.98
144.17
134.76
135.26
125.33
119.13
113.86
108.86
104,64
177.07
112.92
107.71
439.09
132.14
123.83
207.73
132.62
142.56
128.76
162.97
145.48
138.00
O
304.
266.
137.
156.
161.
168.
139.
136.
127.
114.
129.
111.
135.
123.
143.
168.
142.
129.
149.
106.
94.6
87.6
106.
S = Simulated
O = Observed
F-10
-------
TABLE F.2 FREQUENCY ANALYSIS OF FLOW DATA FROM THE ARROYO COLORADO
Interval Range
(1) (2)
1 0 -25
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
25+-50
50+- 75
754—100
1004-125
1254-150
150+-175
1754-200
200+-225
2254—250
2504-275
275+-300
3004—325
3254-350
3504-375
3754-400
4004-425
4254—450
4504-475
4754—500
5004-
8 Occurrences
(3) (4)
S 0
6
0
1
15
22
18
6
2
4
1
1
0
0
0
1
0
0
1
0
0
1
0
0
0
10
23
24
10
1
0
1
1
0
3
0
0
0
0
0
0
0
1
Rel. Frequency
(5) (6)
S O
0
0
0,0137
0.2055
0.3014
0.2466
0.0822
0.0274
0.0548
0.0137
0.0137
0
0
0
0.0137
0
0
0.0137
0
0
0.0137
0
0
0
0.1370
0.3151
0.3288
0.1370
0.0137
0
0
0.0137
0
0.0411
0
0
0
0
0
0
0
1.0137
Cum. Frequency
(7) (8)
S O
0
0
0.0137
0.2192
0.5206
0.7672
0.8494
0.8768
0.9316
0.9453
0,9590
0.9590
0.9590
0.9590
0.9727
0.9727
0.9727
0.9864
0.9864
0,9864
1.0001
0
0
0
.1370
0.4521
0.7809
0.9179
0.9316
0.9316
0.9316
0.9453
0.9453
0.9864
0.9864
0.9864
0.9864
0.9864
0.9864
0.9864
0.9864
1.0001
TOTAL
73
73
1.0001
1.0001
and simulated data (whereas the t-test, for instance,
specifically tests the mean). It keys on the maximum
difference between the cumulative frequency distributions of
two data sets. Thus it considers mass of the distributions
(i.e., volume) as well as the closeness of frequency response
of the two distributions. Because of its generality, however,
it tends to be an easy test to pass (Haan, 1977). That is,
the probability of accepting the hypothesis that the two
samples are drawn from the same population, when in fact it is
false, is high. Thus the test should not be used by itself,
but in conjunction with other statistics to derive conclusions
in goodness-of-fit.
F-ll
-------
If point-to-point simulation of observed values is important
(e.g./ timing of peaks and valleys), then a "real-time"
approach, rather that one based purely on frequencies, must be
taken. Regression analysis is a suitable tool for this for
two reasons s
* It measures the point-to-point correlation between
observed and simulated data, and
* tests are available for inference concerning the
slope and intercept of the regression line.
It can also be used to give us information about the relative
masses of the two samples since the mean of both enter into
the calculations of the least squares method.
These two methods have been chosen for discussion as ways to
test observed and simulated flow and sediment concentrations
for model calibration purposes. However, there are some
pitfalls in using these methods on time series data which
should be avoided. These caveats are discussed in the
following sections which also discuss the analysis of data and
application of the tests.
While the value of statistics in calibration and verification
is enormous, rigorous comparisons of time series , data for
these purposes have been largely neglected. Typically, the
judgement of the modeler has been the key criteria in judging
goodness-of-fit. What is advocated here is intelligent use of
the tools available to us for making the judgement of
"how-good-is-good." Certainly, the simulated and observed
data should in every case be plotted and inspected visually.
We can usually tell an "excellent" fit from an "atrocious"
one. In the "atrocious" case, statistical measures may be of
little value. However, when observed and simulated values are
F-12
-------
closer, statistical measures can be valuable in making the
determination if changes in model parameters are actually
"improving" the fit. Valuable time and effort can be wasted
by trying to "perfect" the calibration.
F.2 THE KOLMOGOROV-SMIRNOV TWO-SAMPLE TEST
The Kolmogorov-Smirnov two-sample test (K-S test) requires
that cumulative frequency distributions be developed from the
data. In our applications this data is almost always a time
series, and is nearly always serially correlated to some
extent. This fact requires some special preprocessing of the
data before the K-S test can be applied. This will be
discussed later.
First, let us show how the K-S two-sample test is used. The
following discussion is taken from Siegel (1954).
"The Kolmogorov-Smirnov two-sample test is a test
of whether two independent samples have been drawn
from the same population (or from populations with
the same distribution). The two-tailed test is
sensitive to any kind of difference in the
distributions from which the two samples were drawn
- differences in location (central tendency), in
dispersion, in skewness, etc. The one-tailed test
is used to decide whether or not the values of the
population from which one of the samples was drawn
are stochastically larger than the values of the
population from which the other sample was drawn.
This two-sample test is concerned with the
agreement between two-cumulative distributions.
F-13
-------
If the two samples "have in fact been drawn from the
same population distribution, then the cumulative
distributions of both samples may be expected to be
fairly close to each other, inasmuch as they both
should show only random deviations from the
population distribution. If the two-sample
cumulative distributions are "too far apart" at any
point, this suggests that the samples come from
different populations. Thus a large enough
deviation between the two-sample cumulative
distributions is evidence for rejecting H (i.e.,
the hypothesis of same distributions).
Method
To apply the Kolmogorov-Smirnov two-sample test, we
malce a cumulative frequency distribution for each
sample of observations, using the same intervals
for both distributions. For each interval, then,
we subtract one step function from the other, The
test focuses on the largest of these observed
deviations.
Let S_ (X) = the observed cumulative step function
"l
of one of the samples., that is, Sn (X) = K/n ,
where K = the number of scores equal to or less
than X. And let Sn (X) = K/n_ . Now the
"2 2
Kolmogorov-Smirnov two-sample test focuses on:
IS (X) - S (X)|
L ni n2 J
maximum.__ »~, __ »_-,.
IF. 1)
for a one-tailed test, and on:
D = maximum }sn (X) - S (X)|
(P.2)
P-14
-------
for a two-tailed test. The sampling distribution
of D is known and the probabilities associated with
the occurrence of values as large as an observed D
under the null hypothesis (that the two samples
have come from the same distribution) have been
tabled.
Notice that for a one-tailed test, we find the
maximum value of D in the predicted direction [by
equation F.I] and that for a two-tailed test we
find the maximum absolute value of D [by equation
F.2], i.e., we find the maximum deviation
irrespective of direction. This is because in the
one-tailed test, H, is that the population values
from which one of the samples was drawn are
stochastically larger than the population values
from which the other sample was drawn, whereas in
the two-tailed test, H-, is simply that the two
samples are from different populations."
The analysis of data to produce a cumulative frequency
distribution was discussed earlier.
One of the assumptions of the K-S test is that observations
within a sample are independent. The problem with applying
the K-S test to time series data is that, more often than not,
this assumption is not met. This is due to the fact that most
natural time series (e.g., flow, sediment concentrations,
etc.) are serially correlated. This is especially true for
larger watersheds where streamflow, sediment transport, etc.
are continuous. Less serial correlation will be evident in
data from smaller areas. In order to use a K-S test, any
serial correlation in the data must be r.emoved from the
sample.
F-15
-------
F.2.1 Tests for Serial Correlation
The way to detect serial correlation in a data set is to
compute the Pearson product-moment correlation coefficient of
each data point with its preceeding value, which is called the
lag 1 serial— (or auto-) correlation coefficent and is denoted
r(l). If the data sets are lagged again so that each data
point is correlated with the second preceeding point then the
lag 2 coefficient, r(2), results. This process can be
continued and serial correlation coefficients r(k) can be
computed (see Yevjevich, 1972, for a complete discussion). h
plot of r(k) versus k is called a serial correlogram. An
example is shown in Figure F.5.
Notice that generally the r(k) decreases as k increases until
they hover close to or cycle around zero. Confidence limits
(dashed lines) can be computed around zero. Once the
correlation coefficients consistently fall inside these bands,
we can say that they are statistically not different from zero
for this sample size and confidence level (for computation
limits see Anderson, 1942, or Jenkins and Watts, 1969). In
the example correlogram of Figure F.5, then, we can say that
approximately every 10th point (streamflow value for every
10th day, in this case), is uncorrelated (i.e., independent).
To apply the K—S test, then, these two time series could be
sampled by taking every 10th point and using this new series
to form the cumulative distribution histograms.
While this method will virtually guarantee independence,
others might also be tried. Another method would be to
randomly sample each time series, in hopes of coming up with
an independent subset of values. Another method would be to
aggregate data and perform the test on monthly as opposed to
daily data, for instance. While more aggregated series
generally have less serial correlation, this method does not
guarantee independence.
F—16
-------
Main Floodway at Wealaco
I
H
.05% Confidence band
8 10
NUMBER OF LAOS
Figure F.5 Serial correlogram of observed and simulated mean daily flow
for the Main Floodway at Weslaco,
-------
F.2.2 Example Application
Data from the HSPF calibration of the Arroyo Colorado
watershed in Texas (Dean et al.f 1984) were used to construct
the following example of the application of the K-S test to
serially correlated daily streamflow data.
From the serial correlogram in Figure F.5 it was noted that
every 10th point (or day) in both the simulated and observed
time series is independent. Therefore the original two time
series of 730 values were sampled by selecting every 10th
value in each. The resulting independent subsets were shown
in Table F.I.
Table F.2 showed the frequency and cumulative frequency
distributions of the observed and simulated independent
series. The final column, ID I, is the absolute difference
between the observed and simulated cumulative frequency
distributions. The maximum of these occurred in interval 4,
therefore Dmax = 0.0822. The value of D at a 0.05 (5%)
probability level is calculated from:
Vsnr
0*05 — 1.36 * nitit) 1^ -j\
where n, and n,, are the respective sample sizes. In this case
n^ = n2 = 73, and the value of D is calculated to be 0.225.
Thus, D > D and the distributions cannot be said to be
drawn from different populations. This calculation of D in the
Kolmqgorov-Smirnov two-sample test was obtained from Siegel (1954)
F-18
-------
F.3 LINEAR REGRESSION ANALYSIS
Regression analysis involves the point-to-point comparison of
an independent and dependent variable. This is accomplished
by fitting a line through the x, y pairs of data. The line is
fit by minimizing the sums of squares of the deviations in the
y-direction of each point from the best fit line. The line
can be described by two parameters? a slope and a y-intercept.
The model, of course, is$
(F.4)
where y = dependent variable
Oi = y-intercept
j$ = slope of the linear relationship
x = independent variable
g = error
The method for determining the coefficients in equation F.4
can be found in a number of texts (Bhattacharyya and Johnson,
1977; Haan, 1977? Fischer, 1981) and are not presented here.
The major interest in applying regression analysis for the
comparison of simulated and observed time series is to test
the slope and intercept ( G! and £} ) of the regression equation.
The aim is to obtain an a not statistically different from
zero and a |3 not statistically different from 1. Confidence
in our inference about a and (3 is enhanced, however, by
knowing that the linear model is a good one and that the good
fit is not just fortuitous. This can be done simply by visual
inspection of the line plotted on a scattergram of the points.
A more objective method is by computing the coefficient of
determination from the data. This coefficient is computed by:
F-19
-------
r2
(F.5)
where r = coefficient of determination
S = suras of squares of the residuals (deviations
in the y-direction from the best fit line)
n = total number of x, y points
Sy = variance of the dependent y variables
2
The coefficient of determination, r » can take on values
between 0 and 1. Values closer to 1 indicate that the points
2
are closer to the best fit line. In fact, the value of r may
be thought of as the fraction of the total variability in y
that is explained by the linear relationship. It should be
noted that for simple bivariate (x,y) regression, r2 is
identically the square of the Pearson product moment
correlation coefficient. However, for multiple regression
(more than one independent variable) this is not the case
(Fischer, 1981).
There are some special considerations for applying regression
techniques to the problem of comparing two time series.
Yevjevich (1972) states that the method of least squares only
gives reliable estimates of OL and j8 if two conditions are
met. First, the residuals must be independent and second, the
variance of the residuals must not be a function of the
independent variable x.
The first assumption is equivalent to saying that no time
dependent or serial correlation exists among the residuals.
This can easily be checked by the method of constructing a
serial correlogram using the residuals.
The second assumption is referred to as homoscedasticity . If
the scatter of the x, y points around the regression line
F-20
-------
tends to increase as the values of x increase, then the
assumption is violated. The easiest way of dealing with this
problem is to transform the data so that the variance is
approximately equal along the regression line. The regression
analysis is then performed on the transformed data.
No further assumptions are required for assuming that the
estimates of Oi and |8 are unbiased. However, for the purposes
of making inferences about the regression coefficients the
distribution of the residuals around the regression line
should be normal. Bhattacharyya and Johnson (1977) state that
a moderate deviation from normality does not impair inference
especially when the data set is large.
Given that these conditions are met, we can test (X and f3 to
see if they meet the requirements for a good fit of the
simulated to observed data.
F.3.1 Significance Tests for ca anc ft
To test if (3 is not significantly different from unity the t
statistic is computed:
t = Sx
Sx ~ 2X2 - nx2 (F.7)
where /3 — least squares estimate of the scope
F-21
-------
(F.8)
The value of t can be compared to values of critical t at some
probability level with n-2 degrees of freedom.
The parameter oi =
0 can be tested by:
O!
t =
n 2r
>J n + 2
(F.9)
with n—2 degrees of freedom.
F.3.2 Example Regression Analysis
An example of the above procedures is provided below using the
data from the Arroyo Colorado (Table F.I). The plotted data
are shown in Figure F.6. From the plot it does not appear
that there is necessarily an increasing variance with the
level of the observed values. However, the grouping of most
of the data at the 90-160 cfs level, with only a few points at
higher flows, may lead to some problems which will be
discussed later. Notice that there is one point (x=1410,
y=2465.2) that does not appear on the graph. From the least
squares we derive the parameters:
Oi = 94.06
|8 = 1-71
The
It
r^ value is 0.92 indicating that the linear fit is good.
should be pointed out here that spurious (inflated
F-22
-------
estimates of correlation as evidenced by high values of 'r')
correlation can arise out of the type of situation represented
in Figure F.6, where most of the data is clustered except for
a few outlying points. In fact, the reason that the slope is
500-
to 400-
u.
U
O
_i
u.
S 3°0'
I-
s
CO
200-
100 -
I
100
f
200
I
300
1
400
500
Figure F.6
OBSERVED FLOW (CFS)
Regression analysis of observed and simulated
flows for the Arroyo Colorado.
F-23
-------
so large is due to the influence of the (x,y) pair (1410,
2
2465). If this point were eliminated, the r value would drop
drastically but the slope may or may not be closer to unity.
Haan (1977) provides a more in-depth discussion of spurious
correlation.
Once the least squares line is defined it can be plotted on
the scattergram and visually compared to the line of perfect
agreement. These are also plotted in Figure F.6.
The residuals are tabulated in Table F.3. An autocorrelogram
of the residuals is plotted in Figure F.7. The correlogram
indicates that while one or two of the coefficients lie
outside the 95% confidence band, on the whole the correlogram
is well contained indicating an independent series.
The test for normality of the residuals is done as follows.
We compute the frequency histogram of the residuals as shown
in Table F.4. We then compute the mean and variance of the
residuals and compute the standard normal deviate value of the
upper end of the frequency class. The standard normal deviate
is computed by:
e - e
y y
(F.10)
where
e.. =
value of the upper limit of a frequency
class
mean of the residuals
standard deviation of the residuals
In this case ev = -0.0111 and Se = 79.296. Once the standard
normal deviates are found, the cumulative area under the
normal curve lying to the left of the SND can be found in
F-24
-------
TABLE F.3
RESIDUAL OF REGRESSION OF ARROYO COLORADO SIMULATED
AND OBSERVED STREAMFLOW s-
Data
Point #
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
Residual
3.26
32.65
93.07
50.39
76.42
45.14
-27.99
1.39
75*45
26.26
-6.85
42.17
-33.22
-72.59
-4.99
-72.10
-106.59
-87.27
-69.49
-52.13
-34.70
-24.92
-242.76
-33.48
-42.98
Data
Point #
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
Residual
, -13.10
-78.11
5.09
-34.41
11.33
-19.83
-1.30
154.84
39.66
40.87
31.95
14.64
68.66
-4.69
76.27
13.91
33.32
-49.19
29.58
-14.49
-35.83
-21.20
-5.59
144.95
91.97
Data
Point 1
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
Residual
-275.02
-123.43
3.65
-38.30
-46.36
-68.27
-24.82
-24.45
-14.54
3.50
50.24
16.92
-29.39
322.54
-18.66
-69.77
58.65
5.80
-18.51
41.32
45.05
89.54
50.56
Table F.5. Subtracting the cumulative probabilities, one can
find the individual cell probabilities (column 4).
Multiplication by the number of observations (73) gives the
expected cell frequency.
The test for goodness-of-fit is Pearson's X .
2
formula below, the X statistic can be found:
By using the
F-25
-------
Ul
O
IL
U.
Ul
O
O
z
o
Ul
EC
EC
O
o
Ul
CO
.6H
-.3
8 8 10
LAG
Figure F.7 Serial correlogram of residuals.
F-26
-------
TABLE F.4 COMPUTATION OF THE X STATISTIC FOR THE TEST OF NORMALITY
OF RESIDUALS
ill No.
1
2
3
4
5
6
7
8
9
10
Range
- oo to -100.
-100 to -75.
-75 to -50.
-50 to -25.
-25 to 0
0 to 25
25 to 50
50 to 75
75 to 100
100
Observed
Frequency
4
2
6
11
15
10
10
5
7
3
Standard
Normal Deviate
-1.261
-.9458
-.6305
-.3154
0
.3154
.6305
.9458
1.261
Cumulative
Normal Prob.
.1038
.1736
.2643
.3783
.5
.6217
.7357
.8264
.8962
1.000
Cell
Probability
0.1038
0.0698
0.0907
0.1140
0.1217
0.1217
0.1140
0.0907
0.0698
0.1038
Expected
Frequency
7.577
5.095
6.621
8.322
8.88
8.88
8.322
6.621
5.095
7.577
(0-E)2
E
1.689
1.883
0.058
0.861
4.497
0.138
0.336
0.394
0.715
2.744
13.312
-------
2
X =
(F.ll)
E±
where O^ = observed cell frequency
E £ = expected cell frequency
k = number of cells
The X statistic is shown in the table also. From Table F.6,
2
which shows the- percentage points of the X distribution for
k—1 degrees of freedom and 0.05 probability, the X value is
16.919. Therefore we cannot reject the hypothesis that the
2
distribution of residuals is non-normal since our X of 13.3
does not exceed the X2Q n nt- value of 16.9.
y f \J»\) j
Since we have established that the residuals are independent
and normally distributed we can perform the t-test to infer
whether /3 differs from unity and O! differs from zero. From
the computations we find that the t for ft is 11.14 and the t
for O! is -6.75. From the t tables (Table F.I) we can find
critical values of t at the 0.05 probability level with n-2
(73) degrees of freedom. Since this value should be <1.6, we
can conclude that the /? is different from unity and the Q! is
different from zero. Thus the point-to-point correlation
between our model and the observed data is imperfect.
F.4 FREQUENCY ANALYSIS FOR EXPOSURE ASSESSMENT
Frequency analysis for the performance of an exposure
assessment is performed generally in the same way as in the
example for flow frequency. However, for exposure assessment,
duration, as well as the frequency of events, is important, as
discussed in Section F.I. 2. These concepts are clarified in the
following example.
F-28
-------
TABLE F.5 STANDARD NORMAL PROBABILITIES
Plx <
z 0
2
.00
.01
.02
.03
.04
.05
.05
.07
.08
.09
-3.5
-3.4
-33
-3.2
-3.1
-3.0
.0002 .0002
.0003 .0003
.0005 .0005
.0007 .0007
.0010 .0009
.0013 .0013
.0002 .0002
.0003 .0003
.0005 .0004
.0006 .0006
.0009 .0009
.0013 .0012
.0002 .0002
.0003 .0003
.0004 .0004
.0006 .0006
.0008 .0008
.0012 .0011
.0002 .0002
.0003 .0003
.0004 .0004
.0006 .0005
.0008 .0008
.0011 .0011
.0002 .0002
.0003 .0002
.0004 .0003
.0005 .0005
.0007 .0007
.0010 .0010
2.9
2.8
2.7
2:6
2.5
2.4
23
2.2
2.1
2.0
.0019
.0026
.0035
.0047
.0062
.0082
.0107
.0139
.0179
.0228
.0018
.0025
.0034
.0045
.0060
.0080
.0104
.0136
.0174
.0222
.0018
.0024
.0033
.0044
.0059
.0078
.0102
.0132
.0170
.0217
.0017
.0023
.0032
.0043
.0057
.0075
.0099
.0129
.0166
.0212
.0016
.0023
.0031
.0041
.0055
.0073
.0096
.0125
.0162
.0207
.0016
.0022
.0030
.0040
.0054
.0071
.0094
.0122
.0158
.0202
.0015
.0021
.0029
.0039
.0052
.0069
.0091
.0119
.0154
.0197
.0015
.0021
.0028
.0038
.0051
.0068
.0089
.0116
.0150
.0192
.0014
.0020
.0027
.0037
.0049
.0066
.0087
.0113
.0146
.0188
.0014
.0019
.0026
.0036
.0048
.0064
.0084
.0110
.0143
.0183
-1.9
-1.8
-1.7
-1.6
-1.5
-1.4
-13
-1.2
-1.1
-1.0
-.9
-.8
-.7
-.6
-J5
—.4
-3
-2.
-.1
-.0
.0287
.0359
.0446
.0548
.0668
.0808
.0968
.1151
.1357
.1587
.1841
.2119
.2420
.2743
3085
3446
3821
.4207
.4602
.5000
.0281 .0274
.0351 .0344
.0436 .0427
.0537 .0526
.0655 .0643
.0793 .0778
.0951 .0934
.1131 .1112
.1335 .1314
.1562 .1539
.0268 .0262
.0336 .0329
.0418 .0409
.0516 .0505
.0630 .0618
.0764 .0749
.0918 .0901
.1093 .1075
.1292 .1271
.1515 .1492
.0256 .0250
.0322 .0314
.0401 .0392
.0495 .0485
.0606 .0594
.0735 .0721
.0885 .0869
.1056 .1038
.1251 .1230
.1469 .1446
.1814
.2090
.2389
.2709
3050
3409
3783
.4168
.4562
.4960
.1788
.2061
.2358
.2676
3015
3372
3745
.4129
.4522
.4920
.1762
.2033
.2327
.2643
.2981
3336
3707
.4090
.4483
.4880
.1736
.2005
.2297
.2611
.2946
3300
3669
.4052
.4443
.4840
.1711
.1977
.2266
.2578
.2912
3264
3632
.4013
.4404
.4801
.1685
.1949
.2236
.2546
.2877
3228
3594
3974
.4364
.4761
.0244
.0307
.0384
.0475
.0582
.0708
.0853
.1020
.1210
.1423
.1660
.1922
.2206
.2514
.2843
3192
3557
3936
.4325
.4721
.0239
.0301
.0375
.0465
.0571
.0694
.0838
.1003
.1190
.1401
.1635
.1894
.2177
.2483
.2810
3156
3520
3897
.4286
.4681
.0233
.0294
.0367
.0455
.0559
.0681
.0823
.0985
.1170
.1379
.1611
.1867
.2148
.2451
.2776
3121
.3483
3859
.4247
.4641
(continued)
F-29
-------
TABLE F.5 (continued)
I
.0
.1
2.
3
.4
4
.6
.7
.8
.9
1.0
1.1
12
13
1.4
1.5
1.6
1.7
1.8
1.9
2.0
2.1
22
2.3
2.4
2.5
2.6
2.7
2.8
2.9
3.0
3.1
32
33
3.4
33
.00
.5000
.5398
.5793
.6179
.6554
.6915
.7257
.7580
.7881
.8159
.8413
.8643
.8849
.9032
.9192
.9332
.9452
.9554
.9641
.9713
.9772
.9821
.9861
.9893
.9918
.9938
.9953
.9965
.9974
.9981
.9987
.9990
.9993
.9995
.9997
.9998
.01
.5040
4438
4832
.6217
.6591
.6950
.7291
.7611
.7910
.8186
.8438
.8665
.8869
.9049
.9207
.9345
.9463
.9564
.9649
.9719
.9778
.9826
.9864
.9896
.9920
.9940
.9955
.9966
.9975
.9982
.9987
.9991
.9993
.9995
.9997
.9998
.02
4080
4478
4871
.6255
.6628
.6985
.7324
.7642
.7939
.8212
.8461
.8686
.8888
.9066
.9222
.9357
.9474
.9573
.9656
.9726
.9783
.9830
.9868
.9898
.9922
.9941
.9956
.9967
.9976
.9982
.9987
.9991
.9994
.9995
.9997
.9998
.03
4120
4517
4910
.6293
.6664
.7019
.7357
.7673
.7967
.8238
.8485
.8708
.8907
.9082
.9236
.9370
.9484
.9582
.9664
.9732
.9788
.9834
.9871
.9901
.9925
.9943
.9957
.9968
.9977
.9983
.9988
.9991
.9994
.9996
.9997
.9998
.04
4160
4557
4948
.6331
.6700
.7054
.7389
.7703
.7995
.8264
.8508
.8729
.8925
.9099
.9251
.9382
.9495
.9591
.9671
.9738
.9793
.9838
.9875
.9904
.9927
.9945
.9959
.9969
.9977
.9984
.9988
.9992
.9994
.9996
.9997
.9998
.05
4199
4596
4987
.6368
.6736
.7088
.7422
.7734
.8023
.8289
.8531
.8749
.8944
.9115
.9265
.9394
.9505
.9599
.9678
.9744
.9798
.9842
.9878
.9906
.9929
.9946
.9960
.9970
.9978
.9984
.9989
.9992
.9994
.9996
.9997
.9998
.06
4239
4636
.6026
.6406
.6772
.7123
.7454
.7764
.8051
.8315
.8554
.8770
.8962
.9131
.9279
.9406
.9515
.9608
.9686
.9750
.9803
.9846
.9881
.9909
.9931
.9948
.9961
.9971
.9979
.9985
.9989
.9992
.9994
.9996
.9997
.9998
.07
4279
4675
.6064
.6443
.6808
.7157
.7486
.7794
.8078
.8340
.8577
.8790
.8980
.9147
.9292
.9418
.9525
.9616
.9693
.9756
.9808
.9850
.9884
.9911
.9932
.9949
.9962
.9972
.9979
.9985
.9989
.9992
.9995
.9996
.9997
.9998
.08
.5319
4714
.6103
.6480
.6844
.7190
.7517
.7823
.8106
.8365
.8599
.8810
.8997
.9162
.9306
.9429
.9535
.9625
.9699
.9761
.9812
.9854
.9887
.9913
.9934
.9951
.9963
.9973
.9980
.9986
.9990
.9993
.9995
.9996
.9997
.9998
.09
4359
4753
.6141
.6517
.6879
.7224
.7549
.7852
.8133
.8389
.8621
.8830
.9015
.9177
.9319
.9441
.9545
.9633
.9706
.9767
.9817
.9857
.9890
.9916
.9936
.9952
.9964
.9974
.9981
.9986
.9990
.9993
.9995
.9997
.9998
.9998
F-30
-------
TABLE F.6 PERCENTAGE POINTS OF
DISTRIBUTIONS
d>x
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
40
50
60
70
80
90
100
.995
392704 X10~10
.0100251
.0717212
.206990
.411740
.675727
.989265
1344419
1.734926
2.15585
2.60321
3.07382
336503
4.07468
4.60094
5.14224
5.69724
6.26481
6.84398
7.43386
8.03366
8.64272
9.26042
9.88623
103197
11.1603
11.8076
12.4613
13.1211
13.7867
20.7065
27.9907
353346
43.2752
51.1720
59.1963
673276
.990
157088X10'*
.0201007
.114832
.297110
354300
.872085
1.239043
1.646482
2.087912
235821
3.05347
337056
4.10691
4.66043
5.22935
5.81221
6.40776
7.01491
7.63273
8.26040
8.89720
9.54249
10.19567
10.8564
1 13240
12.1981
12.8786
13.5648
14.2565
14.9535
22.1643
29.7067
37.4848
45.4418
53.5400
61.7541
70.0648
.975
982069X10-*
.0506356
.215795
,484419
.831211
1.237347
1.68987
2.17973
2.70039
3.24697
3.81575
4.40379
5.00874
5.62872
6,26214
6.90766
7.56418
8.23075
8.90655
9.59083
10.28293
10.9823
11.6885
12.4011
13.1197
13.8439
143733
15.3079
16.0471
16.7908
24.4331
323574
40.4817
48.7576
57.1532
65.6466
74.2219
.950
393214 X10~»
.102587
351846
,710721
1.145476
1.63539
2.16735
2.73264
332511
3.94030
4.57481
5.22603
5.89186
637063
7.26094
7.96164
8.67176
9.39046
10.1170
10.8508
11.5913
12.3380
13.0905
13.8484
14.6114
15.3791
16.1513
16.9279
17.7083
18.4926
26.5093
34.7642
43.1879
51.7393
60.3915
69.1260
77,9295
.050
3.84146
5.99147
7.81473
9.48773
11.0705
123916
14.0671
15.5073
16.9190
183070
19.6751
21.0261
223621
23.6848
24.9958
26.2962
273871
28.8693
30.1435
31.4104
32.6705
33.9244
35.1725
36.4151
37.6525
38.8852
40.1133
413372
42.5569
43.7729
55.7585
67.5048
79.0819
903312
101.879
113.145
124.342
.025
5.02389
737776
934840
11.1433
12.8325
14.4494
16.0128
173346
19.0228
20.4831
21.9200
233367
24.7356
26.1190
27.4884
28.8454
30.1910
31.5264
32.8523
34.1696
35.4789
36.7807
38.0757
39.3641
40.6465
41.9232
43.1944
44.4607
45.7222
46.9792
593417
71.4202
83.2976
95.0231
106.629
118.136
129361
.010
6.63490
9.21034
113449
13,2767
15.0863
16.8119
18.4753
20.0902
21.6660
23.2093
24.7250
26,2170
27.6883
29.1413
303779
31.9999
33.4087
34.8053
36.1908
37.5662
38.9321
40.2894
41.6384
42.9798
44.3141
45.6417
46.9630
48.2782
493879
50.8922
63.6907
76.1539
883794
100.425
112329
124.116
135.807
.005
7.87944
10.5966
12.8381
14.8602
16.7496
183476
20.2777
21.9550
233893
25.1882
26.7569
28.2995
29.8194
313193
32.8013
34.2672
35.7185
37.1564
38.5822
39.9968
41.4010
42.7956
44.1813
45.5585
46.9278
48.2899
49.6449
50.9933
523356
53.6720
66.7659
79.4900
91.9517
104.215
116321
128.299
140.169
From "Biometrika Tables for Statisticians," Vol. 1, (3rd Edition) Cambridge University Press (1966); Edited by
E. S. Pearson and H. O. Hartley.
F-31
-------
TABLE F.7 PERCENTAGE POINTS OF t DISTRIBUTIONS
0 'a
(Lf.
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
40
60
120
CO
.25
1.000
.816
.765
.741
.727
.718
.711
.706
.703
.700
.697
.695
.694
.692
.691
.690
.689
.688
.688
.687
.686
.686
.685
.685
.684
.684
.684
.683
.683
.683
.681
.679
.677
.674
.1
3.078
1.886
1.638
1.533
1.476
1.440
1.415
1.397
1.383
1.372
1.363
1.356
1.350
1.345
1.341
1.337
1.333
1.330
1.328
1325
1.323
1.321
1.319
1.318
1.316
1.315
1.314
1.313
1.311
1.310
1.303
1.296
1.289
1.282
.05
6314
2.920
2353
2.132
2.015
1.943
1.895
1.860
1.833
1.812
1.796
1.782
1.771
1.761
1.753
1.746
1.740
1.734
1.729
1.725
1.721
1.717
1.714
1.711
1.708
1.706
1.703
1.701
1.699
1.697
1.684
1.671
1.658
1.645
a
.025
12.706
4303
3.182
2.776
2.571
2.447
2365
2306
2.262
2.228
2.201
2.179
2.160
2.145
2.131
2.120
2.110
2.101
2.093
2.086
2.080
2.074
2.069
2.064
2.060
2.056
2.052
2.048
2.045
2.042
2.021
2.000
1.980
1.960
.01
31.821
6.965
4.541
3.747
3.365
3.143
2.998
2.896
2.821
2.764
2.718
2.681
2.650
2.624
2.602
2.583
2.567
2.552
2.539
2.528
2.518
2.508
2.500
2.492
2.485
2.479
2.473
2.467
2.462
2.457
2.423
2390
2358
2.326
.005
63.657
9.925
5.841
4.604
4.032
3.707
3.499
3.355
3.250
3.169
3.106
3.055
3.012
2.977
2.947
2.921
2.898
2.878
2.861
2.845
2.831
2.819
2.807
2.797
2.787
2.779
2.771
2.763
2.756
2.750
2.704
2.660
2.617
2.576
F-32
-------
Consider the time series of chemical concentrations in Table
F. 8. A. plot of this data is shown in Figure F.8. We want to
compute a 24-hour duration frequency distribution to compare
to the 24 hour LC50 for a certain species.
First, we want to compute the 24-hour moving average
concentration time series, from the original series. The
formula is:
X(m) =
m+n-1
m+i-1
(X../n) ,m = 1, . . .N-n+1
(F.12)
where X (m) = moving average of the variable Xi in the m th
interval
n = length of the moving average window
N = total number of observations
Table F.9 is constructed by taking the averages of values 1-
through 24, then 2 through 25, 3 through 26, etc. in Table
F.8. Once these moving averages "have been determined, a
frequency histogram can be constructed. This is done by
selecting a number of intervals of equal concentration ranges
and counting the occurrence of values within each interval.
To be sure to include all the data, the highest or lowest
values are found. From Table F.9 these values are found to be
100.57 and 190.21.
We will round our highest and lowest values to 200 and 100 for
the purpose of constructing the histogram. We then divide
this range into 10 intervals, or any other suitable integer,
giving us ranges for each interval of 100 to 110, 110+ to 120,
120+ to 130, etc. Counting the occurrences of the 24-hour
moving average values in each interval gives the histogram of
Table F.10. The relative frequency is found by dividing the
F-33
-------
TABLE F.8 HYPOTHETICAL VALUES OF CHEMICAL VERSUS TIME (hrs)
Time
Concentration
Time
Concentration
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
0.0
0.1
0.2
0.2
0.6
0.8
1.5
16.0
21.0
20.0
26.0
28.0
35.0
'140.0
160.0
171.0
420.0
431.0
430.0
410.0
409.0
411.0
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
4.4
289.0
240.0
198.0
120.0
110.0
95.0
86.0
40.0
38.0
60.0
120.0
94.0
30.0
28.0
25.0
13.0
4.0
2.0
1.0
0.6
0.0
0.0
number of occurrences in each category by the total number of
occurrences. The cumulative relative frequency is then
determined by summing the relative frequency incrementally for
each interval.
A plot of the cumulative frequency is shown in
It is interpreted as follows:
Figure F.9,
F-34
-------
The ordinate for interval 7, for instance, is the accumulation
of the frequencies of all values less than or equal to 170.
Therefore, we can say that, in this sample, there is a 33%
chance that the 24-hour moving average concentration is less
than or equal to 170. Conversely, there is a 67% chance that
the 24-hour moving average concentration exceeds 170. Since
the data are taken on equal time intervals, it can also be
said that 67% of the time the 24-hour average concentration
exceeds 170. This statement cannot be made if the data are
unequally spaced.
If we further suppose that the 24-hour LC50 for this chemical
is 180 then we can make a statement concerning the exceedence
of this criteria. In this case, the chance is about 38%.
soo
400-
300-
»—t- 1 1 J 4 1 1 ps-<
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44
200-
100-
Figure F.8 Time series of chemical concentrations
in Table F.8.
F-35
-------
TABLE F.9 24-HOUR MOVING AVERAGES OF THE DATA IN TABLE F.8
Interval
10
11
12
13
14
15
16
17
18
19
20
21
Average
152.52
160.76
165.76
170.34
174.29
177.85
179.48
181.00
182.83
186.96
190.04
190.21
190.21
189.79
184.50
178.00
170.96
153.50
135.57
117.65
100.57
F.5 REFERENCES FOR APPENDIX F
Aitlcen, A. P. 1973. Assessing Systematic Errors in Rainfall-
Runoff Models. Journal of Hydrology. 20:121-136.
F-36
-------
TABLE F.10 FREQUENCY HISTOGRAM OF 24-HOUR MOVING AVERAGE CONCENTRATIONS INCLUDING
RELATIVE AND CUMULATIVE FREQUENCY HISTOGRAMS
Cumulative
Interval Range
v
i
LO
-J
1
2
3
4
5
6
7
8
9
10
100.
110.4
120.4
130.4
140.4
150.4
160.4
170.4
180.4
190.4
to
to
to
to
to
to
to
to
to
to
110.
120.
130.
140.
150.
160.
170.
180.
190.
200.
Number of
Occurences
1
1
0
1
0
2
2
6
5
3
Relative
Frequency
0.
0.
0.
o.
0.
0.
0.
0.
0.
0.
0476
0476
0
0476
0
0952
0952
2857
2381
1429
Relative
Frequency
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0476
0952
0952
1428
1428
2380
3332
6189
8570
9999
TOTAL
21
0.9999
-------
Anderson, R.L. 1942. Distribution of the Serial Correlation
Coefficients. Annals of Mathematical Statistics. 8(1):
1-13.
Bhattacharyya, G.K. and R.A. Johnson. 1977. Statistical
Concepts and Methods. John L. Wiley and Sons, N.Y.
Chen, C.W., S.A. Ghereni, J.D. Dean, R.J.M. Hudson and R.A.
Goldstein. 1984. Development and Calibration of the
Integrated Lake-Watershed Acidification Study Model. In:
Modeling of Total Acid Precipitation Impacts. J.L,
Schnoor, ed. Acid Precipitation Series, Vol. 9. J.I.
Teasley, ed. Butterworth Publishers.
i. uu-
0.90-
0.80-
1 0. 70-
C 0. 60-
S
-------
Dean, J.D., D.W. Meier, B.R. Bicknell, and A.S. Donigian.
1984. Simulation of DDT Transport and Fate in the Arroyo
Colorado Watershed, Texas. Draft Report. Prepared for
U.S. EPA, Athens, GA.
Donigian, A.S. Jr. 1982. Field Validation and Error Analysis
of Chemical Fate Models. In: Modeling the Fate of
Chemicals in the Aquatic Environment. K.L. Dickson,
A.W. Maki, and J. Cairns Ed. Ann Arbor Science, Ann
Arbor, MI. pp. 303-323.
Fischer, W.D. 1981. Statistics Economized. University Press
of America. Washington, D.C.
Haan C.T. 1977. Statistical Methods in Hydrology. Iowa
State University Press, Ames, IA.
Jenkins, G.M. and D.G. Watts. 1969. Spectral Analysis and
Its Applications. Holden Day Co., San Fransisco, CA.
McCuen, R.H. and W.M. Snyder. 1975. A Proposed Index for
Computing Hydrographs. Water Resources Research. 11(6):
1021-1024.
Seigel, S.- 1954. Nonparametric Statistics for the Behavioral
Sciences. McGraw-Hill Book Co., NY.
Yevjevich, V. 1972. Probability and Statistics in Hydrology
Water Resources Publications. Fort Collins, CO.
Young, G.K. and C.'L. Alward. 1983. Calibration and Testing
of Nutrient and Pesticide Transport Models. In: Agri-
cultural Management and Water Quality. F.W. Schaller and
G.W. Bailey, eds. Iowa State University Press, Ames, IA.
ftU.S. GOVERNMENT PRINTING OFFICE; 1986/646-116/20790
F-39
-------
------- |