-------
Table 6.13 Sampling Locations Established at the Long Shot Site
Wells
WL-1
WL-2
GZ-1*
GZ-2
EPA-1
Surface Locations
Reed Pond
Mud Pit No. 1
Mud Pit No. 2
Mud Pit No. 3
Stream East of Long Shot
Long Shot Pond No. 1
Long Shot Pond No. 2
Long Shot Pond No. 3
pCi/L
Tritium
12
41
938
48
12
2-sigma
3
4
152
4
4
MDA
5
5
223
5
6
15
83
113
157
110
13
13
19
4
4
5
5
5
3
3
3
6
5
5
5
5
5
5
5
* Conventional analysis
70
-------
Table 6.14 Sampling Locations Established at the Milrow Site
Tundra Holes
W-2
W-3
W-4
W-5
W-6
W-7
W-8
W-9
W-10
W-ll
W-12
W-13
W-14
W-15
W-16
W-17
W-18
W-19
Surface Locations
Heart Lake
Duck Cove Creek
Clevenger Creek
pCi/L
Tritium
8
0
18
2-sigma
136
4
4
MDA
223*
6
6
Not Sampled - well dry
Not Sampled - well dry
12
0.5
3
3.5
5
5.8
Not Sampled well head under water
0.3
5.1
3.5
3.5
5.8
5.6
Not Sampled - well head under water
20
13
2.3
13
4
3
3.5
4
6
5
5.6
6
Not Sampled - well head under water
21
4
6
Not Sampled - well head under water
0.0
5.4
23
4.8
3.5
4
7.9
5.6
6
* Insufficient sample for enrichment, conventional screening only.
71
-------
Table 6.15 Sampling Locations Established at the Cannikin Site
Wells
HTH-3
Surface Locations
Cannikin Lake, north end
Cannikin Lake, south end
Ice Box Lake
Pit south of Cannikin GZ
DK-45 Lake
White Alice Creek
pCi/L
Tritium
19
2-sigma
3
MDA
5
15
13
16
9.1
14
13
3
3
4
3.4
4
4
5
5
6
5.3
6
6
Table 6.15 Sampling Locations Established to Provide Background Data.
Wells
Army Well No. 1
Army Well No. 2
Army Well No. 3
Army Well No. 4
Exploratory Hole D
Exploratory Hole E
Surface Locations
Jones Lake
Constantine Spring
Clevenger Lake
TX Site Spring
Precipitation
pCi/L
Tritium
15
9
2-sigma
5
3.2
MDA
8
5
Not Collected - well blocked
9.4
2.5
3.8
Not Collected - well blocked
Not Collected - well blocked
12
32
19
13
3
5
4
3
5
7
5
5
None Collected
72
-------
7.0 Dose Assessment
There are four sources of possible radiation
exposure to the population of Nevada, which were
monitored by EPA's offsite monitoring networks
during 1997. The pathways are:
• Background radiation due to natural sourc-
es such as cosmic radiation, natural radio-
activity in soil, and 7Be in air, and 3H in
water.
• Worldwide distributions of man-made
radioactivity, such as 90Sr in milk, 85Kr in
air, and plutonium in soil.
• Operational releases of radioactivity from
the NTS, including those from drill-back
and purging activities when they occur.
• Radioactivity that was accumulated in
migratory game animals during their
residence on the NTS.
7.1 Estimated Dose From
Nevada Test Site Activity
Data
The potential EDE to the offsite population due to
NTS activities is estimated annually. Two methods
are used to estimate the EDE to residents in the
offsite area in order to determine the community
potentially most impacted by airborne releases of
radioactivity from the NTS. In the first method,
effluent release estimates, based on monitoring
data or calculated resuspension of deposited
radioactivity, and meteorological data are used as
inputs to EPA's CAP88-PC model by Bechtel NV,
which then produces estimated EDEs. The second
method entails using data from the Offsite
Radiological Environmental Monitoring Program
(OREMP) with documented assumptions and
conversion factors to calculate the committed
effective dose equivalent (CEDE). The latter
method provides an estimate of the EDE to a
hypothetical individual continuously present
outdoors at the location of interest that includes
both NTS emissions and worldwide fallout. In
addition, a collective EDE is calculated by Bechtel
NV, the first method for the total offsite population
residing within 80 km (50 mi) of each of the NTS
emission sources. Background radiation
measurements are used to provide a comparison
with the calculated EDEs. In the absence of
detectable releases of radiation from the NTS, the
Pressurized Ion Chamber (PIC) network provides a
measurement of background gamma radiation in
the offsite area.
The extensive offsite environmental surveillance
system operated around the NTS by EPA R&IE-LV
measured no radiation exposures attributed to
recent NTS operations. However, using onsite
emission measurements, as provided by U.S.
Department of Energy (DOE) and calculated
resuspension data as input to the EPA's CAP88-PC
model, a potential effective dose equivalent (EDE)
to the maximally exposed individual (MEI) was
calculated to be 0.089 mrem (8.9 x 10'4 mSv) to a
hypothetical resident of Springdale, NV, located 58
km (36 mi) west-northwest of Control Point 1 (CP-
1), on the NTS. The calculated population dose
(collective EDE) to the approximately 32,210
residents living within 80 km (50 mi) from each of
the NTS airborne emission sources was 0.26
person-rem (2.6 x 10"3 person-Sv). Monitoring
network data indicated a 1997 exposure to the MEI
of 144 mrem (1.44 mSv) from normal background
radiation. The calculated dose to this individual
from worldwide distributions of radioactivity as
measured from surveillance networks was 0.015
mrem (1.5 x 10"4 mSv). These maximum dose
estimates, excluding background, are less than one
percent of the most restrictive standard.
Onsite source emission measurements, as
provided by DOE, are listed in Table 7.1, and
include tritium, radioactive noble gases, and
plutonium. These are estimates of releases made
at the point of origin. Meteorological data collected
by the Air Resources Laboratory Special
Operations and Research Division, (ARL/SORD)
were used by Bechtel NV, to construct wind roses
and stability arrays for the following areas:
Mercury, Area 12, Area 20, Yucca Flat, and the
Radioactive Waste Management Site (RWMS) in
Area 5. A calculation of estimated dose from NTS
effluents was performed by Bechtel NV, using
EPA's CAP88-PC model (EPA 1992). The results
of the model indicated that the hypothetical
individual with the maximum calculated dose from
airborne NTS radioactivity would reside at
Springdale, Nevada, 58 km (36 mi) west-northwest
of CP-1. The maximum dose to that individual
would have been 0.1 mrem (1 x 10"3 mSv). For
73
-------
comparison, data from the PIC monitoring network
indicated a 1997 dose of 144 mrem (1.44 mSv)
from background gamma radiation occurring in that
area. The population living within a radius of 80 km
(50 mi) from the airborne sources on the NTS was
estimated to be 32,210 individuals, based on 1995
population data. The collective population dose
within 80 km (50 mi) from each of these sources
was calculated to be 0.3 person-rem (3 x 10~3
person-Sv). Activity concentrations in airthat would
cause these calculated doses are much higherthan
actually detected by the offsite monitoring network.
For example, 0.088 mrem of the calculated EDE to
the MEI is due to plutonium. The annual average
plutonium concentration in air that would cause this
EDE is 3.4 x 10~17 uCi/mL This is about 20 times
the annual average plutonium in air measured in
Goldfield (nearest community) of 0.14 x 10~17
uCi/mL (Chapter 4, Table 4.3). Table 7.2
summarizes the annual contributions to the EDEs
due to 1997 NTS operations as calculated by use
of CAP88-PC and the radionuclides listed in Table
7.1.
Input data for the CAP88-PC model included
meteorological data from ARL/SORD and effluent
release data calculated from monitoring results and
from resuspension estimates. These release data
are known to be estimates and the meteorological
data are mesoscale; e.g., representative of an area
approximately 40 km (25 mi) or less around the
point of collection. However, these data are
considered sufficient for model input, primarily
because the model itself is not designed for
complex terrain such as that on and around the
NTS. Errors introduced by the use of the effluent
and meteorological data are small compared to the
errors inherent in the model. The model results are
considered overestimates of the dose to offsite
residents. This has been confirmed by comparison
with the offsite monitoring results.
7.2 Estimated Dose From
OREMP Monitoring
Network Data
Potential CEDEs to individuals may be estimated
from the concentrations of radioactivity, as
measured by the EPA monitoring networks during
1997. Actual results obtained in analysis are used;
the majority of which are less than the reported
minimum detectable concentration (MDC). No
krypton or tritium in air data were collected offsite,
so the onsite krypton for this year, and an average
value for the previous year's offsite tritium were
used. No vegetable or animal samples were
collected in 1997, so calculations for these intakes
were not done.
Data quality objectives for precision and accuracy
are, by necessity, less stringent for values near the
MDC, so confidence intervals around the input data
are broad. The concentrations of radioactivity
detected by the monitoring networks and used in
the calculation of potential CEDEs are shown in
Table 7.3.
The concentrations given in Table 7.3 are
expressed in terms of activity per unit volume.
These concentrations are converted to a dose by
using the assumptions and dose conversion factors
described below. The dose conversion factors
assume continuous presence at a fixed location
and no loss of radioactivity in storage or handling of
ingested materials.
• Adult respiration rate = 8,400 m3/yr (2.3 x 104
L/day[ICRP1975]).
• Milk intake for a 10-year old child = 164 L/yr
(ICRP1975).
• Water consumption for adult-reference man
= 2 L/day (approximately 1,900 mL/day [ICRP
1975]).
The EDE conversion factors are derived from
EPA-520/1-88-020 (Federal Guidance Report No.
11). Those used here are:
• 3H: 6.4 x 10~8 mrem/pCi (ingestion or
inhalation).
• 7Be 2.6 x 10~7 mrem/pCi
(inhalation).
• 90Sr: 1.4 x 10'4 mrem/pCi (ingestion).
• 85Kr: 1.5x10-5mrem/yr/pCi/m3
(submersion).
9 23B,239+240p...
3.7 x 10~4 mrem/pCi (ingestion).
3.1 x 10"1 mrem/pCi (inhalation).
The algorithm for the dose calculation is:
• (concentration) x (assumption in volume/unit
time) x (CEDE conversion factors) = CEDE
74
-------
As an example calculation, the following is the
result of breathing tritium in air concentration of 0.2
pCi/m3:
• (2 x 10 "1 pCi/m3) x (8400 m3/yr) x (6.4 x 10'8
mrem/pCi) = 1.1 x 10'" mrem/yr
However, in calculating the inhalation CEDE from
3H, the value is increased by 50 percent to account
for absorption through the skin (ICRP, 1975). The
total dose in one year, therefore, is 1.1 x 10"" x 1.5
= 1.6 x 10"4 mrem/ yr. Dose calculations from
OREMP data are summarized in Table 7.3.
The individual CEDEs, from the various pathways,
added together give a total of 0.015 mrem/yr. Total
EDEs can be calculated based on different
combinations of data. If the interest was in just one
area, for example, the concentrations from those
stations closest to that area could be substituted
into the equations used here.
In 1997, because of budget cuts and the standby
status of nuclear device testing, samples of game
animals and garden vegetables were not collected.
Also, the noble gas and tritium sampling network
was discontinued in the offsite locations, and the air
sampling network was reduced. In order to
calculate an EDE for a resident of Springdale, the
MEI from the CAP88-PC operation, it is necessary
to make some assumptions. The NTS average
krypton-85 concentration is representative of
statewide levels; tritium in air does not change
significantly from year to year; and, because
Goldfield has the nearest air samplerto Springdale,
its plutonium concentration is used to calculate the
EDE.
7.3 Dose from Background
Radiation
In addition to external radiation exposure due to
cosmic rays and gamma radiation from naturally
occurring radionuclides in soil (e.g., 40K, U, and Th
and their progeny), there is a contribution from 7Be
that is formed in the atmosphere by cosmic ray
interactions with oxygen and nitrogen. The annual
average 7Be concentration measured by the offsite
surveillance network was 0.12 pCi/m3. With a dose
conversion factor for inhalation of 2.6 x 10"7
mrem/pCi, and a breathing volume of 8,400 m3/yr,
this equates to a dose of 2.6 x 10'4 mrem as
calculated in Table 7.3. This is a negligible quantity
when compared with the PIC network
measurements that vary from 73 to 144 mR/year,
depending on location.
7.4 Summary
The offsite environmental surveillance system
operated around the NTS by EPA's R&IE-LV
detected no radiological exposures that could be
attributed to recent NTS operations, but a
calculated EDE of 0.015 mrem can be obtained, if
certain assumptions are made, as shown in Table
7.2. Calculation with the CAP88-PC model, using
estimated or calculated effluents from the NTS
during 1997, resulted in a maximum dose of 0.089
mrem (8.9 x 10"3 mSv) to a hypothetical resident of
Springdale, Nevada, 14 km (9 mi) west of the NTS
boundary. Based on monitoring network data, this
dose is calculated to be 0.005 mrem. This latter
EDE is about 5 percent of the dose obtained from
CAP88-PC calculation. This maximum dose
estimate is less than one percent of the
International Commission on Radiological
Protection (ICRP) recommendation that an annual
EDE for the general public not exceed 100 mrem/yr
(ICRP 1985). The calculated population dose
(collective EDE) to the approximately 32,210
residents living within 80 km (50 mi) of each of the
NTS airborne emission sources was 0.26
person-rem (2.6 x 10"3 person-Sv). Background
radiation yielded a CEDE of 3,064 person-rem
(30.6 person-Sv).
Data from the PIC gamma monitoring indicated a
1997 dose of 144 mrem from background gamma
radiation measured in the Springdale area. The
CEDE calculated from the monitoring networks or
the model, as discussed above, is a negligible
amount by comparison. The uncertainty (2o) for
the PIC measurement at the 144 mrem exposure
level is approximately five percent. Extrapolating to
the calculated annual exposure at Springdale,
Nevada, yields a total uncertainty of approximately
7 mrem which is greater than either of the
calculated EDEs. Because the estimated dose
from NTS activities is less than 1 mrem (the lowest
level for which Data Quality Objectives (DQOs) are
defined, as given in Chapter 10) no conclusions
can be made regarding the achieved data quality
as compared to the DQOs for this insignificant
dose.
75
-------
CD
Table 7.1 NTS Radionuclide Emissions -1997
Onsite Liquid Discharges
Containment
Ponds
Area 12, E Tunnel
Area 20, Well ER-20-5
Area 20, Well ER-20-6
TOTAL
Airborne Effluent Releases
Facility Name
(Airborne Releases)
Areas 3 and 9(c)
Area 5, RWMS(d)
Atlas Facility(d)
SEDAN Craterw
Other Areas'0'
TOTAL
-H
1.6 x101
3.7x10°
5.5 x101
7.5 x 10'
2.4 x 10"'
1.1 x10'1
1.4x102
14x101
Curies(a>
90 O r 137/"» o
—£L —OS
1.5x10'5 1.7x10;
1.5 x 105
1.7x 1Q-3
Curies(a)
1.5x10'
1.5xlO-6
239+240pu
0.036
0.24
0.28
(a) Multiply by 3.7 x 1010 to obtain Bq. Calculated releases from laboratory spills and losses are included in Table 7.4.
(b) In the form of tritiated water vapor, primarily HTO.
(c) Resuspension from known surface deposits.
(d) Calculated from air sampler data.
3.4 x 10'5
3.4x105
-------
Table 7.2 Summary of Effective Dose Equivalents from NTS Operations -1997
Dose
Location
NESHAP(C)
Standard
Percentage
of NESHAP
Background
Percentage of
Background
Maximum EDE at
NTS Boundary'8'
0.12 mrem
(1.2x10'3mSv)
Site boundary 40 km
WNW of NTS CP-1
10 mrem peryr
(0.1 mSv peryr)
1.2
144 mrem
(1.44 mSv)
0.08
Maximum EDE to
an Individual^
0.11 mrem
(1.1 x10'3mSv)
Springdale, NV 58 km
WNW of NTS CP-1
10 mrem peryr
(0.1 mSv per yr)
0.89
144 mrem
(1.44mSv)
0.06
Collective EDE to
Population within 80 km
of the NTS Sources
0.34 person-rem
(3.4 x 10"3person-Sv)
32,210 people within
80 km of NTS Sources
3064 person-rem
(30.6 person-Sv)
0.008
(a) The maximum boundary dose is to a hypothetical Individual who remains in the open continuously during
the year at the NTS boundary located 40 km (25 mi) west-northwest from CP-1.
(b) The maximum individual dose is to a person outside the NTS boundary at a residence where the highest
dose-rate occurs as calculated by CAP88-PC (Version 1.0) using NTS effluents listed in Table 6.1 and
assuming all tritiated water input to the Area 12 containment ponds was evaporated.
(c) National Emission Standards for Hazardous Air Pollutants.
Table 7.3 Monitoring Networks Data used in Dose Calculations -1997
Medium Radionuclide Concentration MrenrAYear Comment
Meat
Milk
Drinking Water
Vegetables
Air
9oSr
3H
3H
3H
7Be
85Kr
239+240 p..
TOTAL (Air = 4.2x
(a) Units are pCi/L
(hi Units are oCi/m
10'3, Liquids = 1.'
and Bq/L.
3 and Ba/m3.
0.7 (a)
(0.023)
0
18(a)
(0.07)
0.2 (b)
(0.007)
0.12*'
(0.0044)
27.0 (b)
(0.93)
1.3x 10-6(b)
(4.8 x 1Q-8)
1 x10'3)= 1.5x
1.1 x10'2
0
8.4 x10'5
1.6x10'4
2.6 x10"4
4.1 x1Q-4
3.4 x10'3
10"2 mrem/yr
Not collected this year
Concentration is the average
of all network results
Not Analyzed
Concentration is the average
from wells in the area
Not collected this year
Concentration is average
network result (1994 data)
Annual average for
Goldfield, Nevada
NTS network average
Annual average for Goldfield
77
-------
Table 7.4 Radionuclide Emissions on the NTS - 1997(a)
Radionuclide Half-life (year) Quantity Released (Ci)(b)
Airborne Releases:
3H 12.35 (c)140
239+24opu 24065. (c)0.28
Containment Ponds:
3H 12.35 (d)20
238Pu 87.743 1.5 X1CT6
239+240Pu 24065. 3.4 x10-5
90Sr 29. 1.5 x10-6
137Cs 30.17 1.7 x10'3
(a) Assumes worst-case point and diffuse source releases.
(b) Multiply by 37 to obtain Gbq.
(c) Includes calculated data from air sampling results, postulated loss of laboratory standards, and
calculated resuspension of surface deposits.
(d) This amount is assumed to evaporate to become an airborne release.
78
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8.0 Training Program
Proper and efficient performance of radiological
health functions by qualified personnel is required
to ensure protection from radiological hazards. The
purpose of the training program is to provide well-
trained, qualified personnel to safely and efficiently
perform their assigned duties at a predetermined
level of expertise.
8.1 Emergency Response
Training Program
Emergency response training is essential to
maintain a cadre of personnel who are qualified to
perform approved radiological health and field
monitoring practices. The training program
includes: tracking training requirements;
maintaining training records; developing in-house
training; and documenting personnel qualifications
and accomplishments. Systematic determination of
job functions promotes consistent training activities
and develops or improves knowledge, skills and
abilities that can be utilized in the work
environment.
In 1997, the EPA ORIA/R&IE National Laboratory
in Las Vegas (R&IE-LV) supported DOE by
instructing or co-instructing radiological training
courses for state and local emergency responders
nationwide. One such program is the
Transportation Emergency Training for Radiological
Assistance (TETRA); another is the Federal
Radiological Monitoring and Assessment Center
(FRMAC). TETRA training includes railway
simulated accidents known as TETRA/RAIL; an
intensive course in radiological emergency
response called Radiological Emergency
Operations (REO) at the Nevada Test Site (NTS);
and Radiological Emergency Response for Local
Responders (RETLR). FRMAC training is given at
drills and exercises in the form of classroom and
hands-on training followed by a drill or exercise
involving field monitoring practical experience
simulating an actual emergency response scenario.
In addition, R&IE-LV supports other emergency
response needs. Several personnel are trained in
the Radiological Assistance Program (RAP).
Radiation field monitors are required to complete
an initial 40 hr. Hazardous Waste Site Operations
and Emergency Response (HAZWOPER) (29 CFR
1910.120) with 8 hour annual refreshers course
and complete a RAP training class, plus maintain
respirator fit qualification to be on the RAP team.
Table 8.1 Co-instructed Training Courses -1997
Course Name Location Dates
REO NTS, NV February 3 - 6
REO NTS, NV March 3 - 6
EPA Co-instructors Provided
(9)
(9)
79
-------
Table 8.2 Emergency Response Classes Attended -1997
Course Name
8-hr. HAZWOPER
Refresher
FRMAC/Emergency
Response Readiness
Training - Digit Pace II
and Cassini
Digit Pace Il/Cassini
follow-up training
Digit Pace II
Cassini Field Team
Leader Training
Location
Las Vegas, NV
Las Vegas, NV
Las Vegas, NV
Kirtland AFB
Albuquerque, NM
Las Vegas, NV
Dates
On an availability basis; self-paced,
Computer-based training with exam.
April 21
April 28
May 19-22
August 25
Radiation Monitoring
Support Pre/Post Cassini
Launch
NASA, Cape Canaveral, FL October 13-17
8.2 Hazardous Materials Spill
Center Support
The Hazardous Materials Spill Center (formerly the
Liquified Gaseous Fuels Spill Test Facility) is
located at Frenchman Flat in Area 5 of the Nevada
Test Site. Originally completed in 1986, the
HAZMAT Spill Center was designed for safety
research on the handling, shipping, and storage of
liquified gaseous fuels and other hazardous liquids.
Early research was aimed at understanding the
physics of spill dispersion, spill effects mitigation,
and clean-up technology. More recently the Center
has been used by industry for conducting tests on
protective clothing, to give hands-on spill mitigation
experience to industrial emergency response
workers, and to test a variety of sensors designed
to detect airborne hazardous materials.
Organizations conducting tests range from the
Federal government, and corporations, to foreign
governments working in co-operation with the U.S.
Government. The facility is completely supported
by user fees paid by the organizations conducting
the tests.
The HAZMAT Spill Center has the advantages of
being located far from populated areas, inside of a
secure facility, and subjected to well characterized
and predictable meteorological conditions. The
EPA provides a chemist to participate in meetings
of the Advisory Panel which reviews and approves
all programs prior to testing and maintains a
readiness for monitoring emissions at the boundary
of the NTS. Recent spills have involved such small
amounts of material that monitoring at the boundary
was not justified. Dispersion models show that
even a catastrophic release of the entire supply of
the test materials would not be measurable at the
test site boundary.
80
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9.0 Sample Analysis Procedures
The procedures for analyzing samples collected for this report are described in Radiochemical and Analytical
Procedures for Analysis of Environmental Samples (Johns, 1979) and are summarized below and (see Table
6.2 page 52). These include gamma analysis, gross beta on air filters, strontium, tritium, and plutonium
analyses. These procedures outline standard methods used to perform given analytical procedures.
Table 9.1 Summary of Analytical Procedures
Type of Analytical Counting Analytical
Analysis Equipment Period (min) Procedures
HpGe
Gamma"
Gross alpha
and beta on
air filters
es.9osr
3H
HpGe 60 - Air charcoal
detector- cartridges and
calibrated at individual air
0.5 keV/ filters.
channel 1 00 - milk, water,
(0.04 to 2 suspended solids.
meV range)
individual
detector
efficiencies
ranging from
15 to 35%.
Low-level end 30
windows, gas
flow pro-
portional
counter with a
5-cm diameter
window.
Low 50
background
thin-window,
gas-flow,
proportional
counter.
Automatic 1 50 - 300
liquid
scintillation
counter
with output
printer.
Radionuclide concen-
tration quantified from
gamma spectral data
by online computer
program.
Samples are
counted after decay
of naturally occurring
radionuclides.
Chemical separation
by ion exchange.
Separated sample
counted succes-
sively; activity calcu-
lated by simulta-
neous solution of
equations.
Sample prepared by
distillation.
Sample Approximate
Size Detection Limif'0
1.0L&3.5L Cs-1 37, routine
routine liquids. liquids; 5 x 10"9 uCi/mL
560 m3 - low- (1 .8 x 1 Q-1 Bq/L). Also
volume air see Table 6.3, page 52.
filters.
1 0,000 m3 - Low-volume air filters:
high-volume air 5x1 0"'4 uCi/mL
filters. (LSxIO-'Bq/m3),
High-volume air filters;
5x10-16uCi/mL
(1.8x10-5Bq/m3).
560 m3 alpha: 8.0 x 10'16 uCi/mL
(3.0x10'5Bq/m3)
beta: 2.5 x 10'15 uCi/mL
(9.25x10'5Bq/m3)
1 .0 L - milk 89Sr: 5 x 1 0'9 uCi/mL
or water. (1.85x10'1 Bq/L)
""Sri 2x10'9uCi/mL
(7.4 X10'2 Bq/L)
4 to 1 0 mL for 300 to 700 pCi/mL
water. (ir26Bq/L)c
Continued
81
-------
Table 9.1 (Summary of Analytical Procedures, cont.)
Type of
Analysis
3H Enrichment
(LTHMP
samples)
zswawMOpu
Analytical Counting
Equipment Period (min)
Automatic 300
liquid
scintillation
counter
with output
printer.
Alpha 1 ,000
spectrometer
with silicon
surface
barrier
detectors
operated in
vacuum
chambers.
Analytical
Procedures
Sample concen-
trated by electrolysis
followed by
distillation.
Water sample, or
acid-digested filter
separated by ion
exchange and electro-
plated on stainless
steel planchet.
Sample
Size
250 mL -
water.
1 .0 L - water.
5,000 to
10,000 m3 -air.
Approximate
Detection Limit"
IQxIO-'pCi/mL
(3.7x10'' Bq/L)
23flPu: 0.08x10'9
uCi/mL (2.9 x 10"3
Bq/L).
239+240 pu- Q Q4
x10-9uCi/mL(1.5x
10-3 Bq/L) -water.
23aPu: 5x10'17
(1.9X10"6
239+240 py.
10x10'17|jCi/mL-
air filters.
The detection limit is defined as the smallest amount of radioactivity that can be reliably detected, i.e., probability of Type I and
Type II error at 5 percent each (DOE81).
Gamma spectrometry using a high purity intrinsic germanium (HpGe) detector.
Depending on sample type.
82
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10.0 Quality Assurance
10.1 Policy
One of the major goals of the EPA is to ensure that
all agency decisions which are dependent on
environmental data are supported by data of known
quality. EPA Order 5360.1, "Policy and Program
Requirements to Implement the Quality Assurance
Program" requires participation in a QA Program by
all EPA organizational units involved in
environmental data collection. This policy further
requires participation in a centrally managed QA
Program by all EPA Laboratories, Program Offices,
Regional Offices, and those monitoring and mea-
surement efforts supported or mandated through
contracts, regulations, or other formalized agree-
ments.
The QA policies and requirements of EPA's R&IE-
LV are summarized in the Quality Management
Plan (R&IE, 1997). Policies and requirements
specific to the OREMP are documented in the
Quality Assurance Program Plan for the Nuclear
Radiation Assessment Division Offsite Radiation
Safety Program (EPA, 1992, under revision). The
requirements of these documents establish a
framework for consistency in the continuing appli-
cation of quality assurance standards and
procedures in support of the OREMP.
Administrative and technical procedures based on
these QA requirements are maintained in
appropriate manuals or are described in SOPs. It
is R&IE policy that personnel adhere to the require-
ments of the QA Plan and all SOPs applicable to
their duties to ensure that all environmental radia-
tion monitoring data collected by R&IE in support of
the OREMP are of adequate quality and properly
documented for use by the DOE, EPA, and other
interested parties.
10.2 Data Quality Objectives
Data quality objectives (DQOs) are statements of
the quality of data a decision maker needs to
ensure that a decision based on that data is
defensible. Data quality objectives are defined in
terms of representativeness, comparability, com-
pleteness, precision, and accuracy. Representa-
tiveness and comparability are generally qualitative
assessments while completeness, precision, and
accuracy may be quantitatively assessed. In the
OREMP, representativeness, comparability, and
completeness objectives are defined for each
monitoring network. Precision and accuracy are
defined for each analysis type or radionuclide.
Achieved data quality is monitored continuously
through internal QC checks and procedures. In
addition to the internal QC procedures, R&IE
participates in external intercomparison programs.
One such intercomparison program is managed
and operated by a group within EPA/CRD-LV.
These external performance audits are conducted
as described in and according to the schedule con-
tained in "Environmental Radioactivity Laboratory
Intercomparison Studies Program" (EPA, 1992a).
The analytical laboratory also participates in the
DOE Environmental Measurements Laboratory
(EML) Quality Assurance Program in which real or
synthetic environmental samples that have been
prepared and thoroughly analyzed are distributed to
participating laboratories. The R&IE laboratory also
began participation in the DOE Mixed Analyte
Performance Evaluation Program (MAPEP) during
1996. External Dosimetry is accredited every two
years. In 1996 the program was accredited under
the Department of Energy Accreditation Program
(DOELAP). Accreditation includes performance
testing as well as an on-site assessment. The
R&IE External Dosimetry Program is currently
seeking National Voluntary Laboratory
Accreditation Program (NVLAP) accreditation,
which will also include performance testing and an
on-site assessment.
10.2.1 Representativeness, Compa-
rability, and Completeness
Objectives
Representativeness is defined as "the degree to
which the data accurately and precisely represent
a characteristic of a parameter, variation of a
property, a process characteristic, or an operation
condition" (Stanley and Verner, 1985). In the
OREMP, representativeness may be considered to
be the degree to which the collected samples
represent the radionuclide activity concentrations in
the offsite environment. Collection of samples
representative of pathways to human exposure as
well as direct measurement of offsite resident
exposure through the TLD monitoring programs
provides assurance of the representativeness of
the calculated exposures.
83
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Comparability is defined as "the confidence with
which one data set can be compared to another"
(Stanley and Verner, 1985). Comparability of data
is assured by use of SOPs for sample collection,
handling, and analysis; use of standard reporting
units; and use of standardized procedures for data
analysis and interpretation. In addition, another
aspect of comparability is examined through long-
term comparison and trend analysis of various
radionuclide activity concentrations, and TLD, and
PIC data. Use of SOPs, maintained under a
document control system, is an important compo-
nent of comparability, ensuring that all personnel
conform to a unified, consistent set of procedures.
Completeness is defined as "a measure of the
amount of data collected from a measurement
process compared to the amount that was expect-
ed to be obtained under the conditions of measure-
ment" (Stanley and Verner, 1985). Data may be
lost due to instrument malfunction, sample destruc-
tion, loss in shipping or analysis, analytical error, or
unavailability of samples. Additional data values
may be deleted due to unacceptable precision,
accuracy, or detection limit or as the result of
application of statistical outlier tests. The com-
pleteness objective for all networks except the
LTHMP is 90%. The completeness objective for
the LTHMP is 80%; a lower objective has been
established because dry wells oraccess restrictions
occasionally preclude sample collection.
10.2.2 Precision and Accuracy
Objectives of Radioanalytical
Analyses
Measurements of sample volumes should be
accurate to ± 5% for aqueous samples (water and
milk) and to ± 10% for air and soil samples. The
sensitivity of radiochemical and gamma spectro-
metric analyses must allow no more than a 5% risk
of either a false negative or false positive value.
Precision to a 95% confidence interval, monitored
through analysis of duplicate and blind samples,
must be within ±10% for activities greater than 10
times the minimum detectable concentration (MDC)
and ± 30% for activities greater than the MDC but
less than 10 times the MDC. There are no preci-
sion requirements for activity concentrations below
the MDC, which by definition cannot be distin-
guished from background at the 95% confidence
level. Control limits for accuracy, monitored with
matrix spike samples, are required to be no greater
than ± 20% for all gross alpha, gross beta, and
gamma spectrometric analyses, depending upon
the media type.
At concentrations greater than 10 times the MDC,
precision is required to be within ± 10% for:
• Conventional Tritium Analyses
• Uranium
• Thorium (all media)
• Strontium
and within ± 20% for:
• Enriched Tritium Analyses
• Strontium (in milk)
• Plutonium.
At concentrations less than 10 times the MDC, both
precision and accuracy are expressed in absolute
units, not to exceed 30% of the MDC for all
analyses and all media types.
10.2.3 Quality of Dose Estimates
The allowable uncertainty of the effective dose
equivalent to any human receptor is ± 0.1 mrem
annually. This uncertainty objective is based solely
upon the precision and accuracy of the data
produced from the surveillance networks and
parameter uncertainties does not apply to
uncertainties in the model used, effluent release
data received from DOE, or dose conversion
factors. Generally, effective dose equivalents must
have an accuracy (bias) of no greater than 50% for
annual doses greater than or equal to 1 mrem but
less than 5 mrem and no greater than 10% for
annual doses greater than or equal to 5 mrem.
10.3 Data Validation
Data validation is defined as "A systematic process
for reviewing a body of data against a set of criteria
to provide assurance that the data are adequate for
their intended use." Data validation consists of
data editing, screening, checking, auditing,
verification, certification, and review (Stanley et al;
1983). Data validation procedures are documented
in SOPs. All data are reviewed and checked at
various steps in the collection, analysis, and
reporting processes.
The first level of data review consists of sample
tracking; e.g., that all samples planned to be
collected are collected or reasons for noncollection
are documented; that all collected samples are
delivered to Sample Control and are entered into
84
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the appropriate data base management system;
and that all entered information is accurate. Next,
analytical data are reviewed by the analyst and by
the laboratory supervisor. Checks at this stage
include verifying that all samples received from
Sample Control have been analyzed or reasons for
nonanalysis have been documented; that data are
"reasonable" (e.g., within expected range), and that
instrumentation operational checks indicate the
analysis instrument is within permissible tolerances.
Discrepancies indicating collection instrument
malfunction are reported to the R&IE Center for
Environmental Restoration and Emergency
Response (CERMER). Analytical discrepancies
are resolved; individual samples or sample batches
may be reanalyzed if required.
Raw data are reviewed by a designated media
expert. A number of checks are made at this level,
including:
1. Completeness - all samples scheduled to
be collected have, in fact, been collected
and analyzed or the data base contains
documentation explaining the reasons for
noncollection or nonanalysis.
2. Transcription errors - checks are made of
all manually entered information to ensure
that the information contained in the data
base is accurate.
3. Quality control data - field and analytical
duplicate, audit sample, and matrix blank
data are checked to ensure that the col-
lection and analytical processes are within
specified QC tolerances.
4. Analysis schedules - lists of samples
awaiting analysis are generated and
checked against normal analysis sched-
ules to identify backlogs in analysis or
data entry.
5. Unidentified malfunctions - sample results
and diagnostic graphics of sample results
are reviewed for reasonableness. Condi-
tions indicative of instrument malfunction
are reported to CERMER/CRQA.
Once the data base has been validated, the data
are compared to the DQOs. Completeness,
accuracy, and precision statistics are calculated.
The achieved quality of the data is reported at least
annually. If data fail to meet one or more of the
established DQOs, the data may still be used in
data analysis; however, the data and any inter-
pretive results are to be qualified.
All sample results exceeding the natural back-
ground activity range are investigated. If data are
found to be associated with a non-environmental
condition, such as a check of the instrument using
a calibration source, the data are flagged and are
not included in calculations. Only data verified to
be associated with a non-environmental condition
are flagged; all other data are used in calculation of
averages and other statistics, even if the condition
is traced to a source other than the NTS (for
example, higher-than-normal activities were ob-
served for several radionuclides following the
Chernobyl accident). When activities exceeding
the expected range are observed for one network,
the data for the other networks at the same location
are checked. For example, higher-than-normal-
range PIC values are compared to data obtained by
the air or TLD samplers at the same location.
Data are also compared to previous years' data for
the same location using trend analysis techniques.
Other statistical procedures may be employed as
warranted to permit interpretation of current data as
compared to past data. Trend analysis is made
possible due to the length of the sampling history,
which in some cases is 30 years or longer.
Data from the offsite networks are used, along with
NTS source emission estimates prepared by DOE,
to calculate or estimate annual committed effective
dose equivalents to offsite residents. Surveillance
network data are the primary tools for the dose
calculations. Additionally, EPA'sCAP88-PC model
(EPA, 1992) is used with local meteorological data
to predict doses to offsite residents from NTS
source term estimates. An assessment of the
uncertainty of the dose estimate is made and
reported with the estimate.
10.4 Quality Assessment Of 1997
Data
Data quality assessment is associated with the
regular QA and QC practices within the radio-
analytical laboratory. The analytical QC plan,
documented in SOPs, describes specific proce-
dures used to demonstrate that data are within
prescribed requirements for accuracy and preci-
sion. Duplicate samples are collected or prepared
and analyzed in the exact manner as the regular
samples for that particular type of analysis. Data
obtained from duplicate analyses are used for
determining the degree of precision for each
85
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Table 10.1 Data Completeness of Offsite Radiological Safety Program Networks
Network
LTHMP(a)
Low-volume Air
High-volume Air
Milk Surveillance
PIC
Environmental TLD
Personnel TLD
Number of
Sampling
Locations
381
20
6
10
26
-------
goats that can provide milk only when the animal is
lactating.
One hundred percent of the total possible number
of samples were collected from ten locations (see
Figure 5.1). Annual means for these locations,
individually, cannot be considered to be represent-
ative of the year. However, milk collected in July is
representative of cows grazing on pasture or fed
green chop which represent the typical food chain
for those areas. The David Hafen Dairy, in Ivins,
UT was sold and Frances Jones, Inyokern, CA,
moved. Both were deleted from the MSN. The
Bunker Dairy, Bunkerville, NV, was added to the
list.
The achieved completeness of over 93 percent for
the PIC Network exceeded the DQO of 90 percent.
This completeness value represents satellite
telemetry data and magnetic tapes or card media,
which is used for reporting purposes. Gaps in the
satellite transmissions are filled by data from the
magnetic tape or card media. The redundant data
systems used in the PIC Network (i.e., magnetic
tape or card data acquisition systems) are
responsible for high rates of recovery of the
collected data, and are stored electronically for
reference.
10.4.2 Precision
Precision is monitored through analysis of duplicate
samples. Field duplicates (i.e., a second sample
collected at the same place and time and under the
same conditions as the routine sample) are
collected in the ASN, LTHMP, and MSN. For the
ASN, a duplicate sampler is collocated with the
routine sampler at randomly selected sites for a
period of three months to provide the field
duplicate. A total of two samplers are used for low
volume sample duplicates and one sampler is used
for a duplicate high volume sample. The duplicate
samplers are moved to randomly selected sampling
sites throughout the year. Approximately ten
percent of samples submitted to the laboratory are
analyzed twice for intralaboratory comparison
whenever possible. In lieu of field duplicates,
precision for the PICs is determined by the variance
of measurements over a specific time interval when
only background activities are being measured.
Precision may also be determined from repeated
analyses of routine or laboratory spiked samples.
The spiked QC samples are generally not blind to
the analyst; i.e., the analyst both recognizes the
sample as a QC sample and knows the expected
(theoretical) activity of the sample.
Precision is expressed as percent relative standard
deviation (%RSD), also known as coefficient of
variation, and is calculated by:
mean
The precision or %RSD (also called Coefficient of
Variation) is not reported for duplicate pairs in
which one or both results are less than the MDC of
the analysis. For most analyses, the Measurement
Quality Objectives (MQOs) for precision are defined
for two ranges: values greater than or equal to the
MDC but less than ten times the MDC and values
equal to or greater than ten times the MDC. The
%RSDs is partially dependent on statistical
counting uncertainty so it is expected to be more
variable for duplicate analyses of samples with low
activities.
From duplicate samples collected and analyzed
throughout the year, the %RSD was calculated for
various types of analyses and sampling media.
The results of these calculations are shown in
Table 10.2. Samples not meeting the precision
MQO were low activity, air particulate samples in
which 7Be was detected. The precision data for all
other analyses were well within their respective
MQOs. The R&IE data presented in Table 10.2
includes only those duplicate pairs that exceeded
the minimum detectable concentration (MDC).
One hundred forty-five low volume duplicate pairs
were analyzed for gross alpha and gross beta.
Field duplicates account for sixty-nine of the
samples and ninety-two were laboratory duplicates.
Eighty-four duplicate pairs exceeded the analysis
MDC for gross alpha. Twenty-six of these were
field duplicates and fifty-eight were laboratory
duplicates. Of the field duplicates, ten of the
twenty-six exceeded the MQO of 30 percent for
samples greater than MDC but less than ten times
MDC. One of the field duplicate samples exceeded
ten times the MDC and the RSD for that sample
was zero percent. Of the fifty-eight laboratory
duplicates, nineteen exceeded the MQO of thirty
percent. None of the laboratory duplicates were
greater than ten times the MDC. Sixty-seven of the
sixty-nine field duplicates exceeded the analysis
MDC for gross beta. Of these, three were greater
than ten times the MDC. The average RSD for the
pairs greater than ten times MDC was 13.2 percent,
exceeding the MQO of 10 percent for samples
87
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Table 10.2 Precision Estimates from Duplicate Sampling, 1997
Analysis Type
Gross Alpha
Gross Beta
Gamma Spectroscopy (low-vol 7Be)
Gamma Spectrometry (hi-vol 7Be)
Tritium in Water (enriched)
Tritium in Water (unenriched)
Number of duplicate
Analysis > MDC
84
145
14
11
12
2
Estimated Precision,
%RSD
28.5
18.0
36.2
46.8
7.9
26.2
greater than ten times MDC. All three samples had
RSDs of less than 15 percent.
The average RSD for the sixty-four pairs greater
than MDC but less than ten times MDC was 19.9
percent, well below the MQO of thirty percent for
the analysis.
Ten of the sixty-four samples exceeded the MQO.
Of ninety-two laboratory duplicate pairs, five were
greater than ten times the MDC. The average RSD
for these five samples was 3.5 percent with all
samples less than the MQO of 10 percent. Eighty-
four samples were greater than the MDC but less
than ten times MDC for the analysis. The average
RSD for this group of samples was 15.5 percent,
well below the MQO of 30 percent. Eight of the
samples exceeded the MQO value. Beryllium 7
(7Be) was detectable on 25 low volume duplicate
pairs. Eleven were field duplicates and 14 were
laboratory duplicates. The average RSD of 31.4
percent is above the precision MQO of 30 percent
for samples above MDC and less than ten times
MDC. Of the eleven field duplicates, the average
RSD was 29.8 percent which meets the MQO. The
average RSD forthe laboratory duplicates was 32.7
percent. Eight duplicate pairs from the field
samples and 11 of the duplicate pairs from the
laboratory samples were less than the MQO of 30
percent. High volume duplicate pairs where 7Be
was detected did not meet the MQO. The average
of 11 samples was 46.8 percent. Four of the
eleven samples met the MQO of 30 percent.
Forty-two duplicate pairs were analyzed for tritium
using the unenriched method. Of the 42 samples
analyzed, two were above the MDC for the
analysis. The average RSD for these two samples
was 26.2 percent which meets the MQO for this
type of analysis. Twenty-five samples were
analyzed for tritium using the enrichment method.
Five of the duplicate pairs were above ten times
MDC for the analysis with an average RSD of 7.1
percent, within the MQO of 10 percent for the
analysis. Seven duplicate pairs were greater than
MDC and less than ten times MDC, with RSD of 8.6
percent which is well within the MQO of 20 percent
for this type of analysis.
10.4.3 Accuracy
The accuracy of all analyses is controlled through
the use of NIST-traceable standards for instrument
calibrations. Internal checks of instrument
accuracy may be periodically performed, using
spiked matrix samples. These internal QC
procedures are the only control of accuracy for
Pressurized Ion Chambers. For spectroscopic and
radiochemical analyses, an independent
measurement of accuracy is provided by
participation in intercomparison studies using
samples of known activities. The EPA R&IE-LV
Radioanalysis Laboratory participates in three such
intercomparison studies.
In the EPA CRD/RADQA Intercomparison Study
program, samples of known activities of selected
radionuclides are sent to participating laboratories
on a set schedule throughout the year. Water, milk,
and air filters are used as the matrices for these
samples. Results from all participating laboratories
are compiled and statistics computed comparing
each laboratory's results to the known value and to
the mean of all laboratories. The comparison to the
known value provides an independent assessment
of accuracy for each participating laboratory.
Table 10.3 presents accuracy (referred to therein
as Percent Bias) results for these intercomparison
studies. Comparison of results among all partici-
pating laboratories provides a measure of compa-
88
-------
rability, discussed in Section 10.4.4. Approximately
70 to 290 laboratories participate in any given
intercomparison study. Accuracy, as percent
difference or percent bias is calculated by:
( C C ~\
%BIAS = -H *
100
Where:
%BIAS = Percent bias
Cm = Measured Sample Activity
Ca = Known Sample Activity
The other intercomparison studies in which the
EPA R&IE-LV Radioanalysis Laboratory
participates are the semiannual DOE QA Program
conducted by EML in New York, NY. and the DOE
Mixed Analyte Performance Evaluation Program
(MAPEP). Approximately 20 laboratories
participate in the EML performance evaluation
program. The MAPEP program evaluates the
performance of approximately forty laboratories.
Sample matrices for both of these programs include
water, air filters, vegetation, and soil. Results for
these performance audit samples are given in
Tables 10.5 and 10.6.
In addition to use of irradiated control samples in
the processing of TLDs, DOELAP and NVLAP both
monitor accuracy as part of their accreditation
program. As with the intercomparison studies,
samples of known activity are submitted as single
blind samples. The designation "single blind"
indicates the analyst recognizes the sample as
being other than a routine sample, but does not
know the concentration or activity contained in the
sample. Individual results are not provided to the
participant laboratories by DOELAP or NVLAP;
issuance of the accreditation certificate indicates
that acceptable accuracy reproducibility has been
achieved as part of the performance testing
process and that an onsite independent review has
indicated conformance with established
accreditation standards.
10.4.4 Comparability
The EPA Performance Evaluation Program pro-
vides results to each laboratory participating in
each study that includes a grand average for all
values, excluding outliers.
A normalized deviation statistic compares each
laboratory's result (mean of three replicates) to the
known value and to the grand average. If the value
of this statistic (in multiples of standard normal
deviate, unitless) lies between control limits of -3
and +3, the accuracy (deviation from known value)
or comparability (deviation from grand average) is
within normal statistical variation. Table 10.4
displays data from the 1997 intercomparison
studies for all variables measured. There were no
instances in which the EPA R&IE-LV Radioanalysis
Laboratory results deviated from the grand average
by more than three standard normal deviate units
during 1997. This indicates acceptable
comparability of the Radioanalysis Laboratory with
the 70 to 290 laboratories participating in the EPA
Intercomparison Study Program.
10.4.5 Representativeness
Representativeness cannot be evaluated quantita-
tively. Rather, it is a qualitative assessment of the
ability of the sample to model the objectives of the
program. The primary objective of the OREMP is
to protect the health and safety of the offsite resi-
dents. Therefore, the DQO of representativeness
is met if the samples are representative of the
radiation exposure of the resident population.
Monitoring stations are located in population
centers. Siting criteria specific to radiation sensors
are not available for many of the instruments used.
Existing siting criteria developed forother pollutants
are applied to the OREMP sensors as available.
For example, siting criteria for the placement of air
sampler inlets are contained in Prevention of
Significant Deterioration guidance documents
(EPA, 1976). Inlets for the air samplers at the
OREMP stations have been evaluated against
these criteria and, in most cases, meet the siting
requirements. Guidance or requirements for
handling, shipping, and storage of radioactivity
samples are followed in program operations and
documented in SOPs. Standard analytical method-
ology is used and guidance on the holding times for
samples, sample processing, and results
calculations are followed and documented in SOPs.
In the LTHMP, the primary objectives are protection
of drinking water supplies and monitoring of any
potential cavity migration. Sampling locations are
primary "targets of opportunity", i.e., the sampling
locations are primarily wells developed for
purposes other than radioactivity monitoring.
Guidance or requirements developed for Compre-
hensive Environmental Response, Compensation,
and Liability Act and Resource Conservation
Recovery Act regarding the number and location of
monitoring wells have not been applied to the
89
-------
LTHMP sampling sites. In spite of these limitations,
the samples are representative of the first objective,
protection of drinking water supplies. At all of the
LTHMP monitoring areas, on and around the NTS,
all potentially impacted drinking water supplies are
monitored, as are many supply sources with
virtually
no potential to be impacted by radioactivity
resulting from past or present nuclear weapons
testing. The sampling network at some locations is
not optimal for achieving the second objective,
monitoring of any migration of radionuclides from
the test cavities. An evaluation conducted by DRI
describes, in detail, the monitoring locations for
each LTHMP location and the strengths and
weaknesses of each monitoring network (Chapman
and Hokett, 1991). Corrective actions are
dependent upon DOE funding of new wells. This
evaluation is cited in the discussion of the LTHMP
data in Section 6.
90
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Table 10.3 Accuracy of Analysis from RADQA Performance Evaluation Study, 1997
Known Value EPA Average Percent
Nuclide Month (pCi/L) (pCi/U Bias
Water Performance Evaluation Studies
Alpha Jan 5.2 5.9 13.5
Alpha Apr 48 49.3 2.7
Alpha Jul 3.1 5.0 61.3
Alpha Oct 14.7 18.5 25.9
Alpha Oct 49.9 48.6 -2.6
Beta Jan 14.7 16.4 11.6
Beta Apr 102.1 101.6 -0.5
Beta Jul 15.1 17.4 15.2
Beta Oct 48.9 53.4 9.2
Beta Oct 143.4 145.7 1.6
3H Mar 7900 7590.3 -3.6
3H Aug 11011 11013 0.0
60Co Jun 18 18.3 1.7
60Co Nov 27 27 0
60Co Apr 21 21 0
60Co Oct 10 10 0
65Zn Jun 100 104 4
65Zn Nov 75 77.3 3.1
89Sr Jan 12 6.3 -47.5
90Sr Jul 44 39 -11.4
90Sr Jan 25 25 0
90Sr Jul 16 14.3 -10.6
131I Feb 86 88.7 3.1
131I Sep 10 10 0
133Ba Jun 25 24.3 -2.8
133Ba Nov 99 95.7 -3.3
134Cs Jun 22 20 -9.1
134Cs Nov 10 10 0
134Cs Apr 31 27.3 -11.9
137Cs Oct 41 36.3 -11.5
137Cs Jun 49 49.7 1.4
137Cs Apr 22 21.3 -3.2
137Cs Oct 34 34 0
U(Nat) Feb 27 26.2 -3.0
U(Nat) Jun 40.3 39.6 -1.7
U(Nat) Sep 5.1 5 -2
91
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Table 10.4 Comparability of Analysis from RADQA Performance Evaluation Study, 1997
Nuclide Month
Known
Value
(pCi/U
EPA
Average
fpCi/Ll
Grand
Average
(pCi/U
Expected
Precision
Normalized
Dev. of EPA
Average from
Grand Average
Normalized
Dev. of EPA
Average from
Known Value
Water Performance Evaluation Studies
Alpha
Alpha
Alpha
Alpha
Alpha
Beta
Beta
Beta
Beta
Beta
3H
3H
60Co
60Co
60Co
60Co
65Zn
65Zn
89Sr
89Sr
89Sr
89Sr
90Sr
90Sr
90Sr
90Sr
131|
131 1
133Ba
133Ba
134Cs
134Cs
134Cs
134Cs
137Cs
137Cs
137Cs
137Cs
y(Nat)
y(Nal)
y(Nat)
Jan
Jul
Oc
Apr
Oct
Jan
Jul
Oct
Apr
Oct
Mar
Aug
Jun
Nov
Apr
Oct
Jun
Nov
Jan
Jul
Apr
Oct
Jan
Jul
Apr
Oct
Feb
Sep
Jun
Nov
Jun
Nov
Apr
Oct
Jun
Nov
Apr
Oct
Feb
Jun
Sep
5.2
3.1
14.7
48
49.9
14.7
15.1
48.9
102.1
143.4
7900
11011
18
27
21
10
100
75
12
44
24
143.4
25
16
13
22
86
10
25
99
22
10
31
41
49
74
22
34
27
40.3
5.1
5.9
5
18.5
49.3
48.6
16.4
17.4
53.4
101.6
145.7
7590.3
11013
18.3
27
21
10
104
77.3
6.3
39
22
145.67
25
14.3
13
23.2
88.7
10
24.3
95.7
20
9
27.3
36.3
49.7
74
21.3
34
26.2
39.6
5
6
4.1
12.3
46.9
47.3
15.7
15.4
48.9
97.3
134.3
7730.3
10868.2
18.8
27.5
21.9
10.5
103.3
78.1
11.8
43.5
24.18
134.27
23.5
15.3
12.5
21.53
87.7
10.9
23.7
94.6
20.2
9.5
28.5
37.8
50
76.2
22.7
35.5
26.2
38.7
5
5
5
5
12
12.5
5
5
5
15.3
21.5
790
1101
5
5
5
5
10
8
5
5
5
21.5
5
5
5
5
9
6
5
10
5
5
5
5
5
5
5
5
3
4
3
•0.05
0.73
2.15
0.35
0.18
0.26
0.26
1.58
0.49
0.92
•0.31
0.23
•0.15
•0.19
•0.30
•0.30
0.12
•0.17
•1.89
•1.56
•0.75
0.92
0.51
•0.33
0.17
0.63
0.18
•0.26
0.21
0.19
•0.06
•0.18
-0.42
-0.52
•0.11
•0.75
•0.49
•0.52
0.03
0.36
•0.05
0.23
0.67
1.30
0.19
-0.18
0.59
0.59
1.57
-0.06
0.18
-0.68
0
0.1
0
0
0
0.69
0.51
-1.96
-1.73
-0.69
0.18
0
-0.58
0
0.46
0.51
0
-0.23
-0.58
-0.69
-0.35
-1.27
-1.62
0.23
0
-0.23
0
-0.44
-0.32
-0.08
92
-------
Table 10.5 Accuracy of Analysis from DOE/EML Performance Evaluation Studies
Percent
Nuclide Month EML Value EPA Value Bias
Air Intercomparison Studies
54Mn March 7.62 10.31 26.09
5?Co March 10.81 14.81 27.01
5?c° September 12.64 11.1 -13.87
6°c° March 5.01 6.71 25.34
6°Co September 10.73 9.4 -14.15
134Cs March 10.88 13.28 18.07
134Cs September 28.17 24 -17.38
137Cs March 8.7 10.55 17.54
137Cs September 7.31 6.3 -16.03
125Sb March 12.33 17.21 28.36
144Ce March 15.7 21.01 25.27
238Pu March 0.1 0.11 9.09
239Pu March 0.119 0.125 4.8
Soil Intercomparison Studies
238Pu March 134.93 128 -5.41
Vegetation Intercomparison Studies
239Pu March 1.94 2.02 3.86
Water Intercomparison Studies
3H March 250.3 258.27 3.09
3H September 115 126 8.73
54Mn March 20.85 25.84 19.31
60Co March 90.85 109.33 16.9
60Co September 23.3 23.8 2.10
137Cs September 66 67.2 10.57
137Cs March 69.78 83.31 16.34
137Cs September 34.3 35 2
90Sr March 23.2 22.23 -4.36
90Sr September 2.94 3.49 15.76
238Pu March 1.29 1.32 2.2
239Pu March 0.85 0.827 -2.78
234U March 0.54 0.629 14.15
238U March 0.55 0.615 10.57
93
-------
Table 10.6. Accuracy of Analysis from DOE/MAPEP PE Studies
Result Mean Std Bias
Nuclide (Ba/U Result Dev. [%] Flag
Water Sample 96-W4
238Pu 1.219 1.2 0.12 -4.02 A
239Pu 1.495 1.44 0.12 -11.71 A
90Sr 26.38 25.63 2.31 -2.90 A
Z34/233U 0.402 0.40 0.04 -5.47 A
23BU 0.417 0.41 0.03 -6.47 A
Soil Sample 97-S4
238Pu 26.86 24.7 266 -8.04 A
Flags:
A = Mean result is acceptable (Bias <= 20%)
94
-------
References
Bureau of the Census, 1990, Population Count
Pursuant to Public Law 94-171. Department of
Commerce, Washington, D.C. DOC90
Bureau of Census, 1986. 1986 Population and
1985 Per Capita Income Estimates for Counties
and Incorporated Places, Publication Number P-26.
U.S. Department of Commerce, Washington, D.C.
DOC86
Chapman, J.B. and S.L. Hokett, 1991, Evaluation of
Groundwater Monitoring at Offsite Nuclear Test
Areas, DOE Nevada Field Office Report
DOE/NV/10845-07, Las Vegas, NV. CHA 1991
Code of Federal Regulations, 1988. Drinking
Water Regulations, Title 40, part 141, Washington
D.C. CFR88
Committee on the Biological Effects of Ionizing
Radiation 1980. The Effects on Populations of
Exposure to Low Levels of Ionizing Radiation.
National Academy Press, Washington, D.C.
BEIR80
Davis, Max, 1996. Annual Water Monitoring on and
around the SALMON Test Site Area, Lamar County,
Mississippi, April 1996, U.S. Environmental
Protection Agency Report EPA 420-R-96-019, Las
Vegas, NV. DAV1996
Houghton, J.G., C.M. Sakamoto, R.O. Gifford,
1975. Nevada Weather and Climate, Special
Publication 2. Nevada Bureau of Mines and
Geology, University of Nevada, Mackay School of
Mines, Reno, NV. HO75
Johns, F., 1979. Radiochemical and Analytical
Procedures for Analysis of Environmental Samples,
U.S. Environmental Protection Agency, Las Vegas,
Nevada, Report EMSL-LV-0539-17-1979, Las
Vegas, NV. JOH 1979
Pahrump Valley Times, July 30,1997, in Nevada,
cites population growth for Pahrump in 1996.
National Council on Radiation Protection and
Measurement, 1989. Screening Techniques for
Determining Compliance with Environmental
Standards: Releases of Radionuclides to the
Atmosphere, NCRP Commentary No 3.
Washington D.C. NCRP89
National Park Service, 1990. Personal
Communication from Supervisor Park Ranger,
R.Hopkins, Death Valley Nation Monument, Death
Valley, CA. NPS90
Quiring, R.E., 1968, Climatological Data, Nevada
Test Site, Nuclear Rocket Development Station,
ESSA Research Laboratory Report ERLTM-ARL-7,
Las Vegas, NV. QU11968
Stanley, T.W. and S.S. Verner, 1975, The U.S.
Environmental Protection Agency's Quality
Assurance Program, in J.K. Taylor and T.W.
Stanley (eds.), Quality Assurance for Environmental
Measurements, ASTM STP-865, Philadelphia, PA.
STA1985
Stanley, T.W., et al, 1983. Interim Guidelines and
Specifications for Preparing Quality Assurance
Project Plans, QAMS-005/80. U.S. Environmental
Protection Agency, Office of Research and
Development, Washington, D.C. 40pp.
U.S. Department of Agriculture. Nevada 1994
Agricultural Statistics. Carson City, Nevada.
U.S. Energy Research and Development
Administration, 1977. Final Environmental Impact
Statement, Nevada Test Site, Nye County, Nevada,
Report ERDA-1551. U.S. Department of
Commerce, Springfield, VA. ERDA77
U.S. Environmental Protection Agency. 1976.
Quality Assurance Handbook for Air Pollution
Measurement Systems. EPA/600/9-76/005. U.S.
Environmental Protection Agency, Office of
Research and Development, Research Triangle
Park, NC.
U.S. Environmental Protection Agency. 1992.
Quality Assurance Program Plan for the Nuclear
Radiation Assessment Division. U.S.
Environmental Protection Agency, Environmental
Monitoring Systems Laboratory, Las Vegas, NV.
U.S. Environmental Protection Agency, 1996,
Quality Management Plan, Radiation and Indoor
Environments National Laboratory, Las Vegas,
Nevada. Las Vegas, NV. EPA R&IE 1996
U.S. Environmental Protection Agency, 1992,
User's Guide for Cap88-PC, Version 1.0, Office of
Radiation Programs, Las Vegas Facility, Report
402-B-92-001, Las Vegas, NV. EPA 1992
95
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Glossary of Terms
Definitions of terms given here are modified from the U.S. Nuclear Regulatory Commission Glossary of
terms (NRC81).
alpha Positively charged moving particles curie (Ci)
particles (a) identical with the nuclei of helium
atoms. They penetrate tissues to
usually less than 0.1 mm (1/250 inch)
but create dense ionization and
heavy absorbed doses along these
short tracks.
background The radiation in man's natural envir-
radiation onment, including cosmic rays and dosimeter
radiation from the naturally radioac-
tive elements, both outside and in-
side the bodies of humans and ani-
mals. It is also called natural radia- duplicate
tion. The usually quoted average
individual exposure from background
radiation is 125 millirem per year in
midlatitudes at sea level.
becquerel A unit, in the International System
(Bq) of Units, of measurement of radio-
activity equal to one nuclear trans- half-life
formation per second.
beta A charged particle emitted from a
particle (0) nucleus during radioactive decay,
with a mass equal to 1/837 that of a
proton. A positively charged beta
particle is called a positron. Large ionization
amounts of beta radiation may cause
skin bums, and beta emitters are
harmful if they enter the body. Beta
particles are easily stopped by a thin
sheet of metal or plastic.
Committed The summation of Dose Equivalents
Effective to specific organs or tissues that ionization
Dose would be received from an intake of chamber
Equivalent radioactive material by an individual
during a 50-year period following the
intake, multiplied by the appropriate
weighting factor. isotope
cosmic Penetrating ionizing radiation, both
radiation particulate and electromagnetic,
originating in space. Secondary
cosmic rays, formed by interactions
in the earth's atmosphere, account
for about 45 to 50 millirem of the 125
millirem background radiation that an
average individual receives in a year.
The basic unit used to describe the
rate of radioactive disintegration.
The curie is equal to 37 billion disin-
tegrations per second, which is
approximately the rate of decay of 1
gram of radium; named for Marie
and Pierre Curie, who discovered
radium in 1898.
A portable instrument for measuring
and registering the total accumulated
dose of ionizing radiation.
A second aliquot of a sample which
is approximately equal in mass or
volume to the first aliquot and is ana-
lyzed for the sample parameters.
The laboratory performs duplicate
analyses to evaluate the precision of
an analysis.
The time in which half the atoms of a
particular radioactive substance dis-
integrate to another nuclear form.
Measured half-lives vary from mil-
lionths of a second to billions of
years. Also called physical half-life.
The process of creating ions
(charged particles) by adding one or
more electrons to, or removing one
or more electrons from, atoms or
molecules. High temperatures, elec-
trical discharges, nuclear radiation,
and X-rays can cause ionization.
An instrument that detects and mea-
sures ionizing radiation by measuring
the electrical current that flows when
radiation ionizes gas in a chamber.
One of two or more atoms with the
same number of protons, but differ-
ent numbers of neutrons in their
nuclei. Thus, 12C, 13C, and14 C are
isotopes of the element carbon, the
numbers denoting the approximate
atomic weights. Isotopes have very
nearly the same chemical properties,
but often different physical properties
(for example, 13C and 14C are radio-
active).
96
-------
matrix spike An aliquot of a sample which is
spiked with a known concentration of
the analyte of interest. The purpose
of analyzing this type of sample is to
evaluate the effect of the sample
matrix upon the analytical methodol-
ogy.
method blank A method blank is a volume of de-
mineralized water for liquid samples,
or an appropriate solid matrix for
soil/sediment samples, carried
through the entire analytical proce-
dure. The volume or weight of the
blank must be approximately equal
to the volume or weight of the sam-
ple processed. Analysis of the blank
verifies that method interferences
caused by contaminants in solvents,
reagents, on glassware, and other
sample processing hardware are
known and minimized.
minimum The smallest amount of radioactivity
detectable that can be reliably detected with a
concentration probability of Type I and Type II
(MDC) error at five percent each (DOE81).
millirem
(mrem)
milliroentgen
(mR)
personnel
monitoring
picocurie
(pCi)
A one-thousandth part of a rem.
(See rem.)
A one-thousandth part of a roent-
gen. (See roentgen.)
The determination of the degree of
radioactive contamination on individ-
uals using survey meters, or the
determination of radiation dosage
received by means of internal or
external dosimetry methods.
One trillionth part of a curie.
quality factor The factor by which the absorbed
dose is to be multiplied to obtain a
quantity that expresses, on a com-
mon scale for all ionizing radiations,
the biological damage to exposed
persons. It is used because some
types of radiation, such as alpha
particles, are more biologically dam-
aging than other types.
rad Acronym for radiation absorbed
dose. The basic unit of absorbed
dose of radiation. A dose of one rad
means the absorption of 100 ergs (a
small but measurable amount of
energy) per gram of absorbing mate-
rial.
radioisotope An unstable isotope of an element
that decays or disintegrates sponta-
neously, emitting radiation.
radionuclide A radioisotope.
rem Acronym for roentgen equivalent
man. The unit of dose of any ioniz-
ing radiation that produces the same
biological effect as a unit of absorbed
dose of ordinary X-rays. (See quality
factor.)
roentgen (R) A unit of exposure in air to ionizing
radiation. It is that amount in air of
gamma or X-rays required to pro-
duce ions carrying one electrostatic
unit of electrical charge in one cubic
centimeter of dry air under standard
conditions. Named after Wilhelm
Roentgen, German scientist who
discovered X-rays in 1895.
Sievert (Sv) A unit, in the International System of
Units (SI), of dose equivalent which
is equal to one joule per kilogram (1
Sv equals 100 rem).
terrestrial The portion of natural radiation
(background) that is emitted by natu-
rally occurring radiation radioactive
materials in the earth.
tritium A radioactive isotope of hydrogen
that decays by beta emission. It's
half-life is about 12.5 years.
97
-------
Appendix
(LD Calculations)
Determination of L-
Accomplished upon the addition of a new
dosimeter type to the program. Once
completed, this test is not normally repeated.
Two methods are acceptable for accomplishing
the task.
Method #1: At least 10 dosimeters for
irradiation per category, plus 10 dosimeters for
background evaluation, for each dosimeter
design, are selected from the routine
processed pool of dosimeters. The dosimeters
are placed in an unshielded environment for a
time sufficient to obtain an unirradiated
background signal typical for routine processed
dosimeters. At least 10 dosimeters are
irradiated for each category to a dose
significantly greater (e.g., 500 mrem) than the
estimated lower limit of detectability. Both the
irradiated and unirradiated dosimeters are
processed and evaluated. The following
quantities are calculated:
Xio
n ,-=i
\
1 "
VE
n-l i=
Where:
Xio
X,
Ho
H,
Sn
S, =
Unirradiated dosimeter values.
Irradiated dosimeter values.
Mean evaluated dose equivalent
values for unirradiated dosimeters.
Mean evaluated dose equivalent
values for irradiated dosimeters.
Associated standard deviation of
unirradiated dosimeters dose
equivalent values.
Associated standard deviation of
irradiated dosimeters dose equivalent
values.
• The dosimeter readings are processed through
the standard dose algorithms without truncation
or distortion (i.e., readings are not rounded to
zero). If a background is subtracted, negative
values are retained for the calculation of S0.
The algorithms for the calculation of shallow
and/or deep dose equivalent are used to
calculate H0 and H,, depending on the category
test specifications. The lower limit of detection,
LD is then calculated as follows:
i _
Method # 1 - Lower Limit of Detectability Determination
-— £
n-i i=i
1 n
f,—E
n i=i
Where:
t, =
H0 =
The t distribution for n - 1 degrees of
freedom and a p value of 0.95.
The average of the unirradiated
dosimeter values without subtracting a
background signal.
Method #2: If NAVLAP performance testing
was completed within six months of this study,
then the values of B and S may be used to
calculate [1.75 X S/(1 + B)] which may be used
in place of tpS/H, in the above equation. Only
one set of unirradiated dosimeters is required
to determine LD using this method.
98
-------
The above equation is based on the desire
to minimize both false negative and false
positive results. All values below the
detection threshold should be set to zero.
For example, tpS0 for p = 0.95 is an
estimate of the detection threshold allowing
5% false positive values. For the lower
limit of detection false negative values are
also minimized. For p = 0.95, the
probability of no more than 5% false
positive and false negative values provides
a lower limit of detection of:
tp DSD
= tp 0S0
Where:
Sn =
The standard deviation of unirradiated
dosimeters.
tpo and tpD depend on the number of
dosimeters used to estimate S0 and SD>
respectively.
The above equation is an estimate of the
relationship:
LD = Kp o0 + Kp OD
Where:
o0 and OD = The true standard deviations.
Kp - The abscissa of the standard normal
distribution below which the total
relative area under the curve is P.
The OD value is composed of the fluctuation of
the background {o0) and the fluctuation
inherent in the readout process. If o^ is the
relative standard deviation at high doses, then
and solving for LD
2
f °,Y
K'°° + K'TT\ "°
V i/
a.
v
'Tt
2
Using tp for Kp and S for o, the final equation in
Method #1 is obtained. If tpi0 is not equal to tpD,
the formula for LD is not exact, but should be a
close approximation of the lower limit of
detectability.
Lower Limit of Detectability Determination -
Two methods of calculation are considered
acceptable and are detailed in this document. This
Determination uses the data obtained from a 6-
month fade study conducted with both UD-802
(personnel) and UD-814 (environmental)
dosimeters. In each case, the following calculation
is accomplished to determine lower limit of
detectability:
2
1\ 2
s \
''H
1
1
t S,
p 1
1
r-
2
Where
LD
Lower limit of detectability.
tp = The t distribution for n - 1 degrees of
freedom and a p value of 0.95.
S0 = Associated standard deviation of
unirradiated dosimeterdose equivalent
values.
Si = Associated standard deviation of
irradiated dosimeter dose equivalent
values.
H0 = Mean evaluated dose equivalent
values for unirradiated dosimeters.
H'0 =
The average of the unirradiated dosimeter
values without subtracting a background signal.
H, = Mean evaluated dose equivalent
values for irradiated dosimeters.
LD = Calculation for Personnel dosimeters:
2 [2.262 x 0.583 + (2.262)
115.014V
' 174.05
3.425]
1 -
2.262 x 15.014
174.05
Method #2 - Lower Limit of Detectability Determination
99
-------
LD = 3.01 mR; (for UD 802s)
( 5 039 V
2 [2.571 x 0.983 + (2.571) 1.033]
, I 168.33 J
^c
2.571 x 5.039
168.33
LD = 5.10 mR; (for UD814s, CaSO4
elements only)
Similarly LD = 44.73 mR (for UD814s, Li2B4O7
elements only)
Where:
Tp = 12.706
S, = 19.315
S0 = 2.081
H0 = 4.5
H! = 163.300
100
-------