HomeMy WebLinkAbout25c_NCS000250_NCDOT_Metals Monitoring QAPP_September 2018_DRAFTQuality Assurance Project Plan for
Stormwater Metals Monitoring (DRAFT)
September 2018
PREPARED FOR
NC Department of Transportation
Hydraulics Unit
1590 Mail Service Center
Raleigh, NC 27699
Tel 919-707-6700
PREPARED BY
Tetra Tech
One Park Drive, Suite 200
P.O. Box 14409
Research Triangle Park, NC 27709
Tel 919-485-8278
Fax 919-485-8280
tetratech.com
NCDOT
Highway
Stormwater
PROGRAM
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Quality Assurance Project Plan for
Stormwater Metals Monitoring
September 2018
Plan approvals:
Andy McDaniel, PE
HSP Program Manager
Signature
Date
Ryan Mullins, PE
Research Program Manager
Signature
Date
Name
Title
Signature
Date
Name
Title
Signature
Date
Name
Title
Signature Date
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TABLE OF CONTENTS
QAPP for Stormwater Metals Monitoring (DRAFT)
1.0 INTRODUCTION..................................................................................................................................... 6
1.1 Project Background..........................................................................................................................
6
1.2 Project Scope...................................................................................................................................
7
2.0 PROJECT ORGANIZATION.................................................................................................................. 8
2.1 Project Team....................................................................................................................................
8
2.2 Quality Oversight..............................................................................................................................8
3.0 DATA QUALITY OBJECTIVES............................................................................................................. 9
3.1 Precision...........................................................................................................................................
9
3.2 Bias.................................................................................................................................................
10
3.3 Accuracy.........................................................................................................................................
10
3.4 Sensitivity........................................................................................................................................
10
3.5 Representativeness........................................................................................................................
10
3.6 Comparability..................................................................................................................................
10
3.7 Completeness.................................................................................................................................
11
4.0 TRAINING AND SAFETY REQUIREMENTS.......................................................................................
12
4.1 Training...........................................................................................................................................12
4.2 Field Safety.....................................................................................................................................
12
5.0 MONITORING EXPERIMENTAL DESIGN...........................................................................................14
5.1 Sampling Site Selection..................................................................................................................
14
5.2 Parameters of Concern..................................................................................................................
14
5.3 Representative Storms...................................................................................................................
14
5.4 Sampling Size.................................................................................................................................
15
6.0 SAMPLING METHODS........................................................................................................................
16
6.1 Water Quality Field Sampling Methods..........................................................................................
16
6.1.1 Regulatory Considerations....................................................................................................
16
6.1.2 Dissolved Metals Sampling Procedure.................................................................................
16
6.2 Sample Handling and Custody.......................................................................................................20
6.2.1 Sample Labeling...................................................................................................................
20
6.2.2 Sample Handling...................................................................................................................20
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6.2.3 Sample Transport and Receipt.............................................................................................
21
7.0 ANALYTICAL METHODS....................................................................................................................
22
8.0 QUALITY CONTROL............................................................................................................................23
8.1 Field Quality Control Procedures...................................................................................................
23
8.1.1 Field Instrument Quality Control...........................................................................................
23
8.1.2 Field Form/Data Sheet Quality Control.................................................................................
23
8.1.3 Field Quality Control Samples..............................................................................................
23
8.2 Laboratory Quality Control Procedures..........................................................................................
24
8.2.1 Laboratory Quality Control Samples.....................................................................................25
9.0 EQUIPMENT TESTING, INSPECTION, AND MAINTENANCE..........................................................27
10.0 DATA MANAGEMENT.......................................................................................................................28
10.1 Periodic Reporting........................................................................................................................
28
10.2 Deliverables..................................................................................................................................28
10.3 Record Retention..........................................................................................................................28
11.0 DATA ANALYSIS AND PRESENTATION.........................................................................................29
11.1 Data Validation.............................................................................................................................
29
11.2 Handling of Censored Data..........................................................................................................
29
11.3 Identification of Outliers................................................................................................................29
11.4 Data Presentation.........................................................................................................................30
12.0 DATA DISSEMINATION.....................................................................................................................
31
REFERENCES............................................................................................................................................
32
APPENDIX A: EXAMPLE HEALTH & SAFETY PLAN.............................................................................
33
APPENDIX B: EXAMPLE CHAIN -OF -CUSTODY FORM.........................................................................
34
LIST OF TABLES
Table 2-1. Research project management team ............................................
Table 5-1. Parameters of concern for stormwater metals monitoring ............
Table 8-1. Data validation criteria for field quality control samples ................
Table 8-2. Data validation criteria for laboratory quality control samples.......
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LIST OF FIGURES
Figure 1-1. Key components of NCDOT's programmatic strategy for metals..............................................7
Figure 6-1. Example of a bioswale equipped for autsampling...................................................................17
Figure 6-2. Two ISCO 6712 autosamplers contained within a sampler enclosure....................................18
Figure 6-3. Teledyne ISCO 6712 automatic water quality sampler equipped with 10-liter carboy ............ 18
Figure 6-4. A standard rain gage (left) and tipping -bucket rain gage (right) for rainfall measurement ...... 19
Figure 6-5. Weir box of a stormwater BMP equipped with ISCO 730 Bubbler Module Flowmeter ...........19
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DOCUMENT HISTORY
1.0 September 2018 Initial draft
QAPP for Stormwater Metals Monitoring (DRAFT)
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ACRONYMS & ABBREVIATIONS
QAPP for Stormwater Metals Monitoring (DRAFT)
BMP
Best management practice
CFR
Code of Federal Regulations
COC
Chain -of -custody
CWA
Clean Water Act
DEQ
(North Carolina) Department of Environmental Quality
DWR
(North Carolina) Division of Water Resources
EMC
Event mean concentration
DQO
Data quality objective
HASP
Health and Safety Plan
HSP
Highway Stormwater Program
LCS
Laboratory control sample
MDL
Method detection limit
MQO
Measurement quality objective
MS
Matrix spike
MSD
Matrix spike duplicate
NCDOT
North Carolina Department of Transportation
NOAA
National Oceanic and Atmospheric Association
NPDES
National Pollutant Discharge Elimination System
PCSP
Post -Construction Stormwater Program
PI
Principal Investigator
POC
Pollutant (or Parameter) of Concern
PPE
Personal protective equipment
PQL
Practical quantitation limit
QA
Quality Assurance
QAPP
Quality Assurance Project Plan
QC
Quality Control
QO
Quality Officer
QPR
Quarterly progress report
RL
Reporting limit
RPD
Relative percent difference
SOP
Standard operating procedure
STORMDATA
(NCDOT) Stormwater Research Monitoring Database
TMDL
Total maximum daily load
TN
Total nitrogen
TP
Total phosphorus
USEPA
United States Environmental Protection Agency (EPA)
USGS
United States Geological Survey
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1.1 PROJECT BACKGROUND
The Highway Stormwater Program (HSP) is a statewide initiative of the North Carolina Department of
Transportation (NCDOT) designed to protect and enhance stormwater quality while fulfilling the mission of
providing and supporting a safe and integrated transportation system. In 2015 new water quality
standards for metals became effective in North Carolina. Changes include alterations to both the numeric
and narrative criteria including a shift in the expression of criteria to the dissolved fraction instead of total
recoverable metals. In response to these changes, the HSP conducted a review of North Carolina's
revised water quality standards for metals as part of compliance with its National Pollutant Discharge
Elimination System (NPDES) permit. The HSP management objective related to these new standards is
to develop a programmatic strategy for compliance with the NPDES permit as it relates to metals.
Program areas informed by this strategy include the Post -Construction Stormwater Program (PCSP), the
Retrofit Program, the Total Maximum Daily Load (TMDL) Program, and the Research Program.
NCDOT intends for this strategy to represent a proactive step in assessing metals sources, monitoring
and managing stormwater metals discharges, and contributing useful information for the agency and its
partners (e.g., North Carolina Department of Environmental Quality (DEQ) and United States Geological
Survey (USGS)). The strategy was developed in phases, with the first phase involving the compilation of
background information on best practices for stormwater metals monitoring and assessment, and the
second phase involving design and execution of a dissolved metals monitoring field study. Figure
L-11F4gufe44 highlights key elements of the programmatic strategy for metals.
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• Investigation and report on NCDEQ Divison of Water Resources (DWR)
metals monitoring program.
• Research of TMDL calculation approaches for metals (with emphasis on
EPA Region 4).
• Development of annotated outline for a metals monitoring QAPP.
• Development of detailed stormwater metals sampling plan.
• Preparation of a white paper summarizing current policy and science
related to zinc in transportation -related runoff.
• Implementation of metals sampling plan in a field study.
• Metals data analysis and report.
• Development of a QAPP for dissolved metals monitoring.
Figure 1-1. Key components of NCDOT's programmatic strategy for metals
This stormwater metals monitoring QAPP represents the culmination of several years of proactive
planning and research by NCDOT. This document leverages the efforts outlined in Figure 1-1 4
and is intended to serve as a template for future stormwater dissolved metals monitoring efforts by
NCDOT and its partners.
1.2 PROJECT SCOPE
NCDOT would like to be well-informed on best practices for conducting stormwater monitoring for metals
to address criteria expressed as the dissolved fraction. To help achieve this goal, this QAPP was
developed to serve as a template for future dissolved metals monitoring efforts. An important component
of this QAPP is a discussion of the need for using "clean" sampling techniques and other challenges
related to dissolved metals analysis such as sample preservation and holding times. This QAPP is
organized into 12 primary sections and follows the general format of the HSP Research Program QAPP
(NCDOT, 2013), including references to specific sections of the Program QAPP where applicable. This
format is consistent with industry standards and the expectations of the NCDEQ Division of Water
Resources (DWR) and United States Environmental Protection Agency (USEPA).
The primary objective of this QAPP is to ensure consistent application of quality principles in the
collection, handling, laboratory analysis, and data evaluation of dissolved metals samples. This document
sets requirements to facilitate consistency among projects to allow comparison of results across studies.
Following the implementation of this QAPP, all researchers performing research projects involving
dissolved metals sample collection will be required to comply with the requirements herein.
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2.1 PROJECT TEAM
Table 2-lT�:e2=1 lists key personnel within the HSP organization. This table should be updated upon
initiation of each new research project to include key personnel within the organization conducting
research.
Table 2-1. Research project management team
Andy McDaniel, PE HSP Program Manager
Ryan Mullins, PE Research Program Manager
Quality Assurance Officer
Project Manager
Sampling Coordinator
Sampling Field Lead
Data Manager/Analyst
Field Technician
Field Technician
2.2 QUALITY OVERSIGHT
The principal responsibility for oversight rests on the Principal Investigator (PI) for each individual project.
NCDOT recommends a member on the project team be designated as a Quality Officer (QO) to
coordinate compliance with this QAPP as well as providing quality oversight and training to the project
team. The QO may be the PI, a staff member, or a graduate student, as appropriate to the specific
project.
To assist the Research Coordinator with ensuring compliance with the QAPP, the PI or QO for each
research project shall be responsible for providing the following information:
• Project QAPP: at the start of each research project, the researchers shall provide a project QAPP
using this document as a template.
• Quarterly Progress Reports (QPR): researchers shall submit quarterly project reports describing
the following: status of the project, potential or ongoing issues, resources needed for continued
project success, whether project is meeting data quality objectives (DQOs), and any proposed
modifications to the monitoring approach, site, or design to address any data quality issues.
QPRs shall include the cumulative dataset to date.
• Draft and Final Reports: the draft and final reports for every research project shall include the
project QAPP (as an appendix) and shall discuss DQOs and compliance with the QAPP. All data
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are required to be submitted using the Stormwater Research Monitoring Database
(STORMDATA) template (provided in Appendix B of the HSP Program QAPP).
Per Section 3 of the HSP Program QAPP, Data Quality Objectives (DQOs) refer to the qualitative and
quantitative objectives of the project with respect to the project purpose and scope, quality control,
performance measures, and decision framework. All new research projects shall be required to establish
DQOs during project initiation, to be presented at the project kickoff meeting or shortly after that, prior to
initiation of any activities under the project.
The overarching DQOs for NCDOT dissolved metals monitoring projects are as follows:
1. The data are generated according to set criteria and procedures for field sampling, sample
handling and processing, laboratory analysis, and record keeping.
2. The data are representative of the monitoring site and are of a known precision, bias, and
accuracy.
3. Data reporting and analytical sensitivity are clearly established and adequate for stormwater
management program decisions and endpoints.
To ensure that the project objectives are achieved, the quality of the data collected will be measured at
each stage of data collection and analysis. Data quality will be assessed by determining the following
characteristics of the data:
• Precision
• Bias
• Accuracy
• Sensitivity (detection and reporting limits)
• Representativeness
• Comparability
• Completeness
Detailed descriptions of these data quality indicators and specific limits for quality control (QC) samples
are discussed in Section 8.0 (Quality Control).
3.1 PRECISION
Precision is measure of the variability in the results of replicate measurements due to random error that is
introduced during sample collection and processing in the field and the laboratory analytical procedure.
Simply stated, precision expresses the degree to which sample results are repeatable. For dissolved
metals sampling, evaluation of precision will be based on evaluation of field duplicates, laboratory
duplicates, and matrix spike duplicates. Differences between results for these QC samples must be within
the criteria presented in Section 8.0 (Quality Control) to meet measurement quality objectives (MQOs).
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3.2 BIAS
QAPP for Stormwater Metals Monitoring (DRAFT)
Bias is a measure of the difference, due to systematic error, between an analytical result and the true
value of an analyte. Example sources of bias may include sampling location (i.e., all stations located at
road crossings, bridges, etc.) or timing of sampling (i.e., sampling performed only on business days,
during daylight hours, etc.). Bias will be evaluated by analyzing field blanks, method blanks, spike blanks,
matrix spikes, and laboratory control samples. Results for these QC samples must be within the criteria
presented in Section 8.0 (Quality Control) to meet MQOs.
3.3 ACCURACY
Accuracy is an estimate of the difference between a "true" or reference value and the associated
measured value. The accuracy of a result is affected by both systematic errors (i.e., bias) and random
errors (i.e., precision). Accuracy of the field measurements will be assessed by duplicate measurements.
Accuracy of the analytical results will be evaluated using field blanks, method blanks, matrix spikes,
and/or laboratory control samples.
3.4 SENSITIVITY
Sensitivity is the measure of the concentration at which an analytical method can positively identify and
report analytical results. The sensitivity of a method is commonly called the "detection limit." There are
typically multiple limits used in analytical analyses and reporting, including:
• Method detection limit (MDL)
• Reporting limit (RL) or practical quantitation limit (PQL)
The method detection limit is the minimum concentration of a substance that can be measured and
reported with 99% confidence that the analyte concentration is greater than zero. The reporting limit
refers to a limit established by the laboratory below which data are not reported and is the practical
quantification limit established by the laboratory, not the method detection limit.
3.5 REPRESENTATIVENESS
Representativeness is a qualitative measure of the degree to which sample data represent characteristic
environmental conditions or, more specifically, site conditions.
Representativeness of samples can be evaluated by analysis of field duplicates. To ensure
representativeness, stormwater sampling must focus upon representative (or average) storm events.
Refer to Section 5.3 (Representative Storms) for more information.
3.6 COMPARABILITY
Comparability is a qualitative parameter expressing the confidence with which one data set can be
compared with another. Comparability is addressed through use of standard techniques to collect and
analyze representative samples, along with standardized data verification and reporting procedures
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described in this QAPP. Changes or updates to analytical methods and sampling techniques midway into
the project must be tested, validated, and shown to be equivalent to existing methods. This validation
must be approved by the Project Manager and QA Officer before being implemented.
3.7 COMPLETENESS
Completeness is defined as the total number of samples analyzed for which acceptable analytical data
are generated, compared to the total number of samples submitted for analysis. Sampling according to
storm criteria, along with adherence to standardized sampling and testing protocols outlined in this QAPP,
will aid in providing a complete set of data for this project. The samples from each event should produce
at least 95 percent acceptable data under the QC conditions described in Section 8.0 of this QAPP. The
goal for completeness also includes a minimum number of storms sampled at each sampling location; this
is discussed in Section 5.4 (Sampling Size).
Completeness will be calculated by dividing the number of valid values by the total number of values.
Valid sample data consists of unflagged data and estimated data that has been assigned a "J" qualifier. A
qualitative assessment will be made as to which "J" flagged data may need to be excluded from this
calculation prior to annual reporting. If less than 95 percent of the samples submitted to the laboratory are
judged to be valid, then additional samples will be collected until at least 95 percent are judged to be
valid. See Section 8.0 (Quality Control) for additional information on data validation criteria.
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4.1 TRAINING
All staff performing field sampling shall receive training to ensure that the work is conducted correctly and
safely. At a minimum, all field staff shall have demonstrated experience with the field guidelines and
sample collection standard operating procedures (SOPS) included in this QAPP. Field staff shall
demonstrate to the Field Lead their ability to properly operate the required sampling equipment. The Field
Lead is responsible for assessing whether each field staff member is adequately trained and prepared to
operate sampling equipment and collect samples.
All work shall be performed under the supervision of a Field Sampling Coordinator experienced with the
protocols described in the SOP. A copy of the safety training records will be maintained internally in the
sampling project file by all entities contracted to perform field sampling. The project QA Officer is
responsible for overseeing all training.
Refer to Section 4 (Training Requirements) of the NCDOT Highway Stormwater Program QAPP (NCDOT,
2013) for additional guidance regarding training requirements.
4.2 FIELD SAFETY
Prior to initiation of sampling, a Health and Safety Plan (HASP) shall be completed that includes, at
minimum, the following information:
• Hierarchy of responsibility for ensuring field safety and for incident reporting;
• Health and safety requirements;
• A field audit checklist and daily safety meeting form;
• Locations, hours of operation, and phone numbers of nearest hospitals and urgent care centers;
• Emergency contact information (primary and secondary) for each member of the field crew; and
• Incident reporting procedure.
An example HASP is included in Appendix A.
Prior to initiating field sampling activities field crews will also review the project HASP as well as the field
safety guidelines provided in the NCDOT Highway Stormwater Program QAPP (NCDOT, 2013).
Appropriate personal protective equipment (PPE) shall be worn at all times while conducting field
sampling activities including high -visibility safety vests and field boots. At the initiation of mobilization for
each sampling event, the field team leader shall review HASP with field team members and complete the
daily HASP checklist.
Stormwater monitoring staff shall receive training for working in wet, cold, and poor -visibility conditions.
During sampling, field staff may be exposed to traffic hazards and slippery conditions. It is an NCDOT
requirement that field staff receive appropriate work zone safety training. Per the NCDOT Highway
Stormwater Program QAPP, "[n]o individual shall engage in confined space entry at any time while
performing NCDOT sponsored monitoring activities." However, if the Project Manager determines
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confined space entry to be necessary to successfully conduct monitoring, then they shall meet with
NCDOT representatives to receive approval and ensure field staff receive proper training prior to
conducting any work in confined spaces.
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5.1 SAMPLING SITE SELECTION
Field monitoring locations shall be in areas where traffic load and right-of-way width do not present
significant risk exposure to researchers and equipment. Additionally, field sites selected for monitoring
must allow sufficient space for sampling instrumentation and equipment installation and for safe sample
collection.
Refer to Section 5.2 (Sampling Site Selection) of the NCDOT Highway Stormwater Program QAPP
(NCDOT, 2013) for additional site selection considerations.
5.2 PARAMETERS OF CONCERN
Typical parameters of concern (POCs) for stormwater metals monitoring, accepted analytical methods
(per USEPA), and standard reporting limits are summarized in Table 5-1T�;e5=1. Project -specific POCs
should be determined at project initiation and be agreed upon by NCDOT and the project team.
Table 5-1. Parameters of concern for stormwater metals monitoring
EPA Method 200.7, Revision 4.4 (USEPA, 1994a)
EPA Method 200.8, Revision 5.4 (USEPA, 1994b)
EPA Method 200.9, Revision 2.2 (USEPA, 1994c)
5.3 REPRESENTATIVE STORMS
Per the NCDOT Highway Stormwater Program QAPP (NCDOT, 2013): "[u]nless explicitly requested and
approved by NCDOT, a representative storm must yield at least 0.1 inch of precipitation; must be
preceded by at least 72 hours with less than 0.1 inch of precipitation; and, if possible, the total
precipitation and duration should be within 50% of the average or median storm event for the area
(USEPA, 1992; USDOT, 2001). Where the scope of work identifies a certain number of storms that will be
monitored, only representative storms shall count towards this number."
In order to determine if and when sampling will occur, two independent weather forecasting services shall
be consulted. First, the National Oceanic and Atmospheric Association (NOAA) National Weather Service
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Forecast Office's point forecasts for the desired area will be examined. The NOAA point forecast system
allows users to select a specific location on a map and returns a tailored forecast. Secondly, forecasts for
the closest Wunderground® weather station will be assessed. Both forecasts include a precipitation depth
estimate as well as a percentage chance precipitation will occur.
5.4 SAMPLING SIZE
A sampling event is defined as a stormwater runoff producing event in which sufficient flow occurs at both
the inlet and outlet locations of a subject stormwater best management practice (BMP). Samples will be
collected at both inlet and outlet, or underdrain, locations of each BMP included in the monitoring
program.
The minimum number of sampling events to be monitored at each monitoring site should be specifically
determined for each individual monitoring project. Refer to Section 5.5 (Sampling Size) of the Highway
Stormwater Program QAPP (NCDOT, 2013) for additional considerations regarding sampling size.
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6.1 WATER QUALITY FIELD SAMPLING METHODS
6.1.1 Regulatory Considerations
The Clean Water Act (CWA) requires EPA to promulgate analytical methods for analyses required in
NPDES permit applications; EPA codifies these approved test procedures at 40 CFR Part 136 (USEPA,
2007), "Guidelines Establishing Test Procedures for the Analysis of Pollutants." The analytical methods
specified in 40 CFR Part 136 are required for all compliance monitoring performed under the NPDES
Program, unless the permit specifically requires alternate methods.
When performing monitoring for NPDES compliance, only approved analytical methods identified in 40
CFR Part 136 may be used to analyze for regulated constituents. Part 136 describes acceptable
analytical methods for metals, including requirements regarding sample holding times, containers, sizes,
and preservation requirements. An important consideration is that these requirements have been
developed to facilitate ambient water quality studies; therefore, some of them do not necessarily apply to
stormwater discharge monitoring, at least at the time this QAPP was written. For NCDOT's purposes, the
methods outlined in 40 CFR 136 should be used as guidelines. However, from a regulatory standpoint,
using these approved methods will likely help to streamline the review and approval process by regulatory
agencies.
6.1.2 Dissolved Metals Sampling Procedure
6.1.2.1 Preparing for Sampling
Prior to the initiation of sampling activities and continuously, as long as sampling efforts are underway or
pending, the Sampling Coordinator should ensure that all supplies necessary for field sampling activities
are on hand at all times.
Stormwater sample containers should be cleaned and prepared for field use according to the procedures
set forth in 40 CFR Part 136 (USEPA, 2007). Sample containers should be labeled after cleaning, and the
laboratory should keep a record of the technician performing the cleaning as well as the date and time.
This begins the required chain -of -custody procedure for legal custody (USEPA, 1992).
Stormwater metals sampling will be conducted at the inlet and outlet of all stormwater BMPs selected for
monitoring. Depending on the particular BMP configuration, two distinct outlet monitoring locations may
be used: one location receiving flow from surface runoff and a second location receiving flow from the
underdrain (where applicable). BMPs designated for monitoring shall be equipped with appropriate
devices at the inlet and outlet monitoring locations to facilitate sample collection. Typically, V-notch weirs
are sufficient, but the configuration may vary based on the specific BMP design. Figure 6-1;Figure 6-1
presents an example sampling configuration.
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Figure 6-1. Example of a bioswale equipped for autsampling
(Left) wooden weir box at bioswale outlet equipped with autosamplers; (right) close-up of weir box
outfitted with V-notch weirs for surface runoff and underdrain monitoring.
6.1.2.2 "Clean" Sampling Techniques
Throughout sample collection and processing, field crews shall follow the "clean hands/dirty hands"
sampling techniques as described in EPA's guidance on collection of ambient water for trace metals
analysis also known as Method 1669 (USEPA, 1996). Field crew members should be well versed in these
methods to prevent contamination and maintain sample integrity.
6.1.2.3 Sample Collection and Retrieval
Stormwater discharge shall be collected through the use of automatic flow -weighted composite sampling
using Teledyne ISCO 6712 (Full -Size Portable Sampler) automatic water quality samplers or equivalant
(Figure 6-2 -6-2) equipped with 10-liter sample carboys (typically polyethylene Nalgene®
containers; see Fiqure 6-3F4gufe-6=3Figure 6-2). The autosamplers will be programmed to collect
samples (aliquots) at flow -proportional intervals throughout the storm event, which are then composited.
Rain gages shall also be installed at each monitoring site to record rainfall depth, compare site rainfall to
local meteorological sources (see Section 5.3), and determine "qualifying" events. The installation of a
recording (automatic) rain gage coupled with a standard (manual) rain gage is recommended, because a
manual rain gage can provide substitute information in the event of equipment failure. Figure 6-4€igu-re
6-4 shows an example rain gage installation at a BMP monitoring site.
Flow meters (ISCO 730 Bubbler Module Flowmeter) or equivalent installed at each sample location will
allow the collection of a flow -weighted composite sample (see Figure 6-5Figure 6-5). After a pre-
determined volume of water passes by the flow meter, the autosampler is triggered to collect a pre-
determined sample aliquot typically ranging in volume from 100 mL to 500 mL. The aliquot volume is set
based on anticipated flow conditions using previous flow and rainfall monitoring data.
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Figure 6-2. Two ISCO 6712 autosamplers contained within a sampler enclosure
LI
Figure 6-3. Teledyne ISCO 6712 automatic water quality sampler equipped with 10-liter carboy
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Figure 6-4. A standard rain gage (left) and tipping -bucket rain gage (right) for rainfall measurement
Figure 6-5. Weir box of a stormwater BMP equipped with ISCO 730 Bubbler Module Flowmeter
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At the end of a targeted storm event, field staff shall verify whether the event met criteria for storm
qualification (see Section 5.3). Collected samples will remain in the autosampler until field crews are able
to visit the site to retrieve them (typically within 24 hours of final aliquot collection).
Metals samples will be retrieved from the autosamplers and processed following EPA Method 1669
("clean hands/dirty hands"), with one field member (designated "dirty hands") handling the composite
bottle and the other field member ("clean hands") handling the pre -labeled 500 mL bottles, with minimal
handling, to be submitted to the laboratory for analysis. In the event that precipitation is occurring during
sample collection, field crews may elect to deploy a rain shelter to provide a dry working environment for
sample handling.
Sample handling is discussed further in Section 6.2 (Sample Handling and Custody).
6.1.2.4 Sample Filtration and Preservation
Per 40 CFR 136, "[f]or the determination of dissolved elements, the sample must be filtered through a
0.45 pm pore diameter membrane filter at the time of collection or as soon thereafter as practically
possible. (Glass or plastic filtering apparatus are recommended to avoid possible contamination.)"
Additionally, 40 CFR 136 states, "[f]or dissolved metals, filter grab samples within 15 minutes of collection
and before adding preservatives. For a composite sample collected with an automated sampler..., filter
the sample within 15 minutes after completion of collection and before adding preservatives."
Because of the inherent difficulty in retrieving automatically collected samples on an expedited schedule,
it is anticipated that all dissolved metals samples will be filtered outside of the 15-minute hold time.
Therefore, all samples shall be filtered by the analytical laboratory upon receipt and shall be flagged "H"
indicating that filtering occurred at more than 15 minutes following final aliquot collection.
40 CFR 136 also describes requirements for sample preservation. Per Table II (Required Containers,
Preservation Techniques, and Holding Times), metals samples require preservative (HNO3 to pH <2) at
least 24 hours prior to analysis. Approved containers for metals sample collection include polyethylene,
glass, and Teflon®.
6.2 SAMPLE HANDLING AND CUSTODY
6.2.1 Sample Labeling
Sample bottles shall be provided with preprinted labels. Upon retrieval, the Field Lead shall ensure that
each label is completed with sample ID, date, and time of sample collection according to the
predetermined and documented labeling plan.
6.2.2 Sample Handling
Upon retrieval and transfer into the prelabeled 500 mL bottles for analysis, all samples shall be placed on
ice in coolers provided by the analytical laboratory. The Field Lead shall verify that the field log and chain -
of -custody (COC) forms have been completed, that all bottles are labelled appropriately, and that
samples are placed in the coolers such that they are stable to protect from damage during transport.
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Samples should remain in the coolers until received by the applicable laboratory. The Sampling
Coordinator shall ensure that the ice in each cooler is replenished as necessary so that sample
temperature stays below 4°C.
An example completed COC form is provided in Appendix B.
6.2.3 Sample Transport and Receipt
Samples will be submitted to the analytical laboratory, which can provide pick-up/courier services to
retrieve samples in iced coolers. Sample coolers should have completed COC forms placed on top of the
cooler awaiting pick-up by courier. The Sampling Coordinator will be responsible for contacting the
laboratory point of contact to schedule sample pick-up or drop-off.
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Laboratories performing each analytical method must be state certified, and their staff must have
demonstrated experience with each method and be familiar with the laboratory SOPs. As a branch of the
North Carolina Department of Environmental Quality (DEQ), the North Carolina Wastewater/Groundwater
Laboratory Certification (NC WW/GW LC) program serves to ensure the quality of analytical data used for
regulatory purposes. A list of certified laboratories is provided on the DEQ website and is updated
annually: https://deg.nc.gov/about/divisions/water-resources/water-resources-data/water-sciences-home-
page/laboratory-certification-branch.
For stormwater metals sampling, the analytical laboratory must have demonstrated experience
processing aqueous samples for total recoverable and dissolved metals analysis. Additionally, the
laboratory should be able to readily provide thorough documentation and be able to demonstrate the
following:
• The laboratory processes metals samples following the approved analytical methods listed in
Table 5-1Table 5 1 and can provide documentation of their procedures;
• The laboratory is able to provide an accurate estimate of turnaround (sample processing) time
and turnaround time is within an acceptable range (typically within 7 days of sample receipt);
• The laboratory provides thorough documentation communicating receipt and processing of
samples, including sample acknowledgement forms and reports of results;
• As method detection limit and reporting limit may vary between laboratories, the laboratory is
readily able to provide documentation of the limits applicable to their analysis methods;
• Thorough laboratory QC procedures are followed, the procedures and acceptance limits are well -
documented (see Section 8.2 for additional guidance), and the laboratory's QC procedures and
results are transparent.
Recommended analytical methods and reporting limits are provided in Section 5.2 (Parameters of
Concern). Recommended data validation criteria for field and laboratory quality control samples are
discussed in Section 8.0 (Quality Control).
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This section describes the field, laboratory, and data analysis quality control (QC) required for dissolved
metals sampling programs.
8.1 FIELD QUALITY CONTROL PROCEDURES
8.1.1 Field Instrument Quality Control
In order to maintain data quality, field equipment shall undergo routine cleaning, calibration, and
maintenance at the recommended frequency specified by each manufacturer.
8.1.2 Field Form/Data Sheet Quality Control
Field forms and/or data sheets shall be provided on Rite -in -the -Rain® water-resistant forms or recorded
in weather -resistant tablet PCs. All entries shall be made in pencil or permanent ink. Field staff shall
submit completed forms to the Field Lead, who shall review documents for errors and completeness and
initial and date all corrections. Field documents shall then be submitted to data management staff for
verification.
8.1.3 Field Quality Control Samples
8.1.3.1 Field Duplicates
Field duplicates are analyzed to evaluate the precision of field sampling techniques. Composite field
duplicate samples shall be collected at all sites at a rate of once per year or once per project duration,
whichever is more frequent. Field duplicates are collected by splitting composited samples. The Sampling
Coordinator shall maintain a schedule so that field crews know when to collect field duplicate samples at
each site. Parameters analyzed in the field sample are also measured in the duplicate sample for a
particular storm event. All field duplicates shall be labeled the same as other samples so that they have
their own unique number and shall be submitted blind to the analytical laboratory with all other field
samples.
Field duplicates will be used to evaluate the Relative Percent Difference (RPD) between regular field
samples and the corresponding duplicate samples. The measured value for each field sample shall be
compared to the measured value for the corresponding field duplicate as follows:
sample result — duplicate result
%RPD = x 100%
(sample result + duplicate result)12
For field duplicates, RPD shall be less than or equal to 25%. Field samples and corresponding duplicate
samples not meeting acceptance criteria shall be flagged with a "J" and qualified as an estimate.
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QAPP for Stormwater Metals Monitoring (DRAFT)
Field blanks are used to evaluate whether contamination occurred during sampling, and include
equipment rinsate blanks, transfer blanks, and transport blanks. All blank samples shall be submitted
blind to the analytical laboratory. Equipment rinsate blanks shall be collected at all sites once per year or
once per project duration, whichever is more frequent. Equipment rinsate blanks consist of laboratory -
supplied, contaminant free water that is run through the autosampler into a clean sample bottle. Field staff
then collect samples from the carboy using normal sampling procedures and clean sampling equipment.
If contamination is detected, additional field blanks shall be collected to determine the source of
contamination. A transfer blank is collected by pouring laboratory -provided deionized water into a clean
sample bottle to determine whether field contamination is present and unrelated to the equipment. A
transport blank is collected by transporting unopened bottles containing certified clean water from the
laboratory into the field, then returning it to the laboratory (still unopened).
If the field blank result is greater than the reporting limit (RL), the result and all associated sample results
shall be flagged with a "B" to indicate blank contamination. If sample results are less than or equal to five
times the contamination level found in the field blanks, the contamination may have biased the sample
results; therefore, the corresponding field samples shall be qualified with a "J." The source of
contamination shall be corrected and actions to prevent future contamination shall be documented.
Table 8-1 Table summarizes the data validation schedule, acceptance criteria, and actions for field
quality control samples.
Table 8-1. Data validation criteria for field quality control samples
Field duplicates One per site per year
or project duration
(whichever is more
frequent).
Field blanks One per site per year
or project duration
(whichever is more
frequent).
RPD <_ 25%.
Field blank result < RL.
Duplicate and sample flagged J.
Field blank and associated samples
flagged B.
If sample result <_ 5x field blank
result, associated samples qualified
J.
8.2 LABORATORY QUALITY CONTROL PROCEDURES
Contract laboratories shall make every effort to meet sample holding times and target reporting limits for
all parameters. Laboratory QC procedures and results shall be closely monitored throughout the duration
of sampling.
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8.2.1 Laboratory Quality Control Samples
8.2.1.1 Method Blanks
Method blanks are analyzed to demonstrate that the analytical procedures do not result in sample
contamination. Method blanks shall be prepared and analyzed at a rate of at least one for each analytical
batch. Method blanks consist of laboratory -prepared blank (reagent) water processed along with the
batch of samples. If the method blank result is greater than the reporting limit (RL), the result and all
associated sample results shall be flagged with a "B" to indicate blank contamination. If sample results
are less than or equal to five times the contamination level found in the method blanks, the contamination
may have biased the sample results; therefore, the corresponding field samples shall be qualified with a
"J." The source of contamination shall be corrected and actions to prevent future contamination shall be
documented.
8.2.1.2 Laboratory Duplicates
Laboratory duplicate samples shall be analyzed regularly to verify that the laboratory's analytical methods
maintain their precision. Duplicates are selected at random from submitted samples that meet volume
requirements.
For lab duplicates, RPD shall be less than or equal to 20%. Field samples and corresponding duplicate
samples not meeting acceptance criteria shall be flagged with a "J" and qualified as an estimate.
8.2.1.3 Matrix Spikes and Matrix Spike Duplicates
Matrix spikes (MS) are field samples that are spiked in the laboratory with method -specific target analytes
and then analyzed under the same conditions as the field samples. A matrix spike provides a measure of
the recovery efficiency and accuracy for the analytical methods being used. Matrix spikes are typically
analyzed in duplicate (MSD) to determine method accuracy and precision. Matrix spikes shall be
prepared and analyzed at a rate of one pair for each analytical batch.
Each matrix and matrix spike shall consist of an aliquot of laboratory -fortified environmental sample. For
matrix spikes and matrix spike duplicates, the acceptance criteria shall be measured as percent recovery
and RPD. Recovery is the accuracy of an analytical test measured against a known analyte addition to a
sample and is calculated as:
%Recovery —
(matrix plus spike result — matrix result)
expected matrix plus spike result
x 100%
If matrix spike or matrix spike duplicate recovery is outside of the acceptable range (70% to 130%), the
associated sample results shall be flagged with J. If RPD for the matrix spike or matrix spike duplicate
exceeds 20%, the associated sample results shall be flagged with J.
8.2.1.4 Laboratory Control Samples
A laboratory control sample (LCS) is a sample of known analyte concentration(s) that is prepared in the
lab from a separate source of analyte(s) relative to the calibration standards. The purpose of analyzing
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laboratory control samples is to demonstrate the accuracy and precision of the analytical methods.
Laboratory control samples shall be analyzed at the rate of one per analytical batch. The acceptance
criteria for laboratory control samples is percent recovery, calculated as:
measured concentration
%Recovery = x 100%
true concentration
If LCS recovery is outside of the acceptable range (85% to 115%), the associated sample results shall be
flagged with J.
Table 8-2Table 8-2 summarizes the data validation schedule, acceptance criteria, and actions for
laboratory quality control samples.
Table 8-2. Data validation criteria for laboratory quality control samples
Method blanks One per analytical Method blank result < RL. Method blank and associated
batch. samples flagged B.
If sample result <_ 5x method blank
result, associated samples qualified
J.
Lab duplicates One per analytical RPD <_ 20%. Duplicate and sample flagged J.
batch.
Matrix spike/matrix One per analytical
spike duplicate batch.
Matrix spike/matrix One per analytical
spike duplicate batch.
Laboratory control One per analytical
sample batch.
%Recovery 70-130
RPD <_ 20%.
%Recovery 85-115
Associated sample flagged J.
Associated sample flagged J.
Associated sample flagged J.
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The following general recommendations are made for stormwater metals sampling equipment inspection
and maintenance, per the Highway Stormwater Program QAPP (NCDOT, 2013):
When DC power is used, verify the duration of continual operation permissible during continual
operation of the equipment. Battery life reduces with time, so it is important to verify this
periodically.
• Flow monitoring equipment should be calibrated according to manufacturer specifications. Flow
meters typically contain desiccant packets and moisture indicators to keep the internal
components of the equipment dry. The moisture indicators should be checked during each site
visit, or at least once between each monitoring event. The sensor(s) should be checked
periodically and calibrated on an as -needed basis. The sensor cables should be inspected at
least prior to each phase of intensive stormwater monitoring. All connections into the flow meter
should be visually inspected prior to each monitoring event.
• At a minimum, the autosampler calibration should be tested prior to major phases of monitoring.
After each stormwater monitoring event, the volume of the sample should be verified against the
expected value, and the autosampler calibrated if the deviation is outside of manufacturer's
recommendations.
• Rain gages should be inspected after every sampling event to make sure they are free from
debris. They should be inspected and calibrated at least before every monitoring project, and
ideally before every major phase of monitoring.
The Sampling Coordinator shall be responsible for reviewing manufacturer's instructions for all sampling
equipment and developing an appropriate maintenance protocol. Manufacturer's installation and
operation guides for the ISCO 6712 and ISCO 730 models discussed in Section 6.0 (Sampling Methods)
can be accessed from the Teledyne ISCO website:
http://www.teledyneisco.com/en-us/waterandwastewater/Pages/6712-Sampler.aspx
http://www.teledyneisco.com/en-us/waterandwastewater/Pages/730-Module.aspx
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NCDOT's use of data generated by a given research project may extend for many years after the
conclusion of the project; therefore, the PI is expected to follow sound data management principles to
ensure adequate documentation and the integrity of the data. To support these objectives, NCDOT
requires several data management protocols by all researchers as discussed below. These protocols are
consistent with the Highway Stormwater Program QAPP (NCDOT, 2013).
10.1 PERIODIC REPORTING
Quarterly progress reports for all research projects shall include provisional data collected to date,
including raw data along with data qualifiers.
10.2 DELIVERABLES
The draft and final deliverable for each research project should include the entire raw dataset, with
appropriate data qualifiers for data that were excluded or that is associated with other quality control
issues. An Excel template for submission of this data is available by contacting the Research Coordinator
and is included in Appendix B of the Highway Stormwater Program QAPP.
10.3 RECORD RETENTION
Raw field and laboratory records, including notes by field personnel on site conditions and potential data
quality concerns, should be retained by the Principal Investigator for a minimum of three (3) years after
the completion of project and ideally longer. The Principal Investigator should notify NCDOT before
destroying any historical records.
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The purpose of this section is to verify that data are of sufficient quality to support project objectives.
These protocols are consistent with the Highway Stormwater Program QAPP (NCDOT, 2013).
11.1 DATA VALIDATION
As part of the project closeout process, researchers are required to verify compliance with the project's
DQOs prior to cessation of field activities and submission of the draft project report. Specifically, the
following activities are required:
• Verify the number of qualified sampling events (as defined in Section 5.3) exceeds the minimum
requirements in Section 5.4 based on the variability of the data in question.
• Submit the draft dataset in Excel in the format specified by the Research Coordinator, with
appropriate data qualifiers for data, including presenting left -censored data (Section 11.2) and
identifying data associated with site conditions that could result in compromised data quality.
• Do not remove monitoring equipment from site until NCDOT signs off on the draft dataset, in the
event it is deemed that additional sampling is required.
11.2 HANDLING OF CENSORED DATA
Data that are below the reporting limit represent lower reliability, and the method of handling could
influence the conclusions of a study. The Highway Stormwater Program QAPP (Section 11.2)
recommends approved protocols for the handling of censored data (note that an "information -rich"
method is one that is able to confirm the presence of the analyte in question, such as a spectrometric
method). Briefly, the HSP Research Program's preferred protocols include:
• When data value < MDL and method is not information -rich, report value as "<RL."
• When data value > MDL but < RL and method is not information -rich, report value as recorded
value preceded by "E" to indicate greater degree of uncertainty.
• When data value < RL but method is information -rich, report recorded value with "E" qualifier
even if value is < MDL.
• When data value > RL, report as recorded.
• Report MDL in all cases.
11.3 IDENTIFICATION OF OUTLIERS
NCDOT recommends that each research project use a systematic process for identifying outliers. The
project report should include a section discussing how outliers were identified and what verification
processes were used to identify true outliers. See Section 11.3 (Identification of outliers) of the Highway
Stormwater Program QAPP for a recommended method.
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11.4 DATA PRESENTATION
Per Section 11.5 (Data Presentation) of the Highway Stormwater Program QAPP: "Data from research
projects should be presented in a variety of ways, including, at a minimum, the mean and median influent
and effluent concentrations, with a description of how the EMCs [event mean concentrations] and loads
were computed. Additional clarity can be achieved by presenting percentiles of concentration, typically
the 25t" and 751" percentile and the interquartile range (IQR). It is also beneficial to compare the data
presented to relevant benchmarks, e.g., a relevant drinking water standard, an instream water quality or
receiving water -based benchmark..."
NCDOT currently does not require a single method for computation of EMCs and loads; however,
researchers are required to clearly document the method(s) used. Additionally, sample calculations
should be provided in the project report.
NCDOT requires all influent and effluent concentrations related to a BMP to be presented in the project
report in the form of absolute concentrations and mass loadings. The report must also include a statistical
evaluation of the significance of the difference between influent and effluent concentrations.
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The Highway Stormwater Program QAPP (NCDOT, 2013) provides guidelines for data dissemination for
research projects under the Research Program, including the following:
• Researchers are generally expected to produce at least one (1) journal article and two (2)
conference proceedings based on each research project.
• Researchers shall submit draft journal articles and conference abstracts for NCDOT approval
prior to submission.
• A minimum of three (3) days should be provided to the HSP Research Program team for review
of conference abstracts.
• A minimum of two (2) weeks should be provided to the HSP Research Program team for review
of journal articles.
NCDOT may be able to provide funding for participation in conferences; researchers should contact the
Research Program Manager for more information.
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NCDOT. 2013. Highway Stormwater Program Quality Assurance Project Plan. North Carolina Department
of Transportation, Raleigh, NC.
USDOT. 2001. Guidance Manual for Monitoring Highway Runoff Water Quality. Report FHWAEP-01-021.
United States Department of Transportation, Washington, DC.
USEPA. 1992. NPDES Storm Water Sampling Guidance Document (EPA/833/B-92-001). United States
Environmental Protection Agency, Washington, D.C.
USEPA. 1994a. Method 200.7: Determination of Metals and Trace Elements in Water and Wastes by
Inductively Coupled Plasma -Atomic Spectrometry. Revision 4.4. U.S. Environmental Protection
Agency.
USEPA. 1994b. Method 200.8: Determination of Trace Elements in Waters and Wastes by Inductively
Coupled Plasma -Mass Spectrometry. Revision 5.4. U.S. Environmental Protection Agency.
USEPA. 1994c. Method 200.9: Determination of Trace Elements by Stabilized Temperature Graphite
Furnace Atomic Absorption. Revision 2.2. U.S. Environmental Protection Agency.
USEPA. 1996. EPA Method 1669: Sampling Ambient Water for Trace Metals at EPA Water Quality
Criteria Levels. U.S. Environmental Protection Agency, Office of Water, Washington, D.C.
USEPA. 2007. 40 CFR Part 122, 136, 141, 143, 430, 455, and 456; Guidelines Establishing Test
Procedures for the Analysis of Pollutants under the Clean Water Act; National Primary Drinking Water
Regulations; and National Secondary Drinking Water Regulations; Analysis and Sampling
Procedures; Final Rule. Federal Register. U.S. Environmental Protection Agency, Washington, D.C.
Additional references (not cited)
Tetra Tech. 2017. NPDES Programmatic Strategy for Metals — Metals Sampling Plan (DRAFT). August
16, 2017.
USEPA. 2001. USEPA Requirements for Quality Assurance Project Plans. United States Environmental
Protection Agency, Washington, D.C.
USEPA. 2002a. EPA Guidance for Quality Assurance Project Plans. (QA/G-5). (EPA/240/R-02-009).
United States Environmental Protection Agency, Washington, D.C.
USEPA. 2002b. Guidance on Environmental Data Verification and Data Validation. (QA/G-6).
(EPA/240/R-02/004). United States Environmental Protection Agency, Washington, D.C.
USEPA. 2006. Guidance on Systematic Planning Using the Data Quality Objectives Process (EPA QA/G-
4). United States Environmental Protection Agency, Washington, D.C.
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