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Programmatic Sampling and Analysis Plan Project Number:60657245 Qualified chemists not involved with the actual generation of the data will conduct the analytical data validation for definitive data. The data will be validated using guidance from the following documents (or most current versions) as pertinent to the analytical methods and QA acceptance criteria: • EPA National Functional Guidelines for Organic Superfund Methods Data Review (EPA- 540-R-2017-002) (USEPA, 2017a) • EPA National Functional Guidelines for Inorganic Superfund Methods Data Review (EPA-540-R-2017-001) (USEPA, 2017b) • EPA National Functional Guidelines for High Resolution Superfund Methods Data Review (EPA-542-B-16-001) (USEPA, 2016) • Department of Defense Data Validation Guidelines Module 3: Data Validation Procedure for Per- and Polyfluoroalkyl Substances by QSM Table B-15 (DoD, 2020) In addition, a program-specific electronic data deliverable (EDD)will be provided by the laboratory for database support. This EDD should meet the AECOM EQuIS format,which includes analytical results, and laboratory and site identification. Field and analytical data will be consolidated and maintained within the EQuIS EDD. In addition, data will be submitted to the Regional Water Board electronically through GeoTracker. This electronic data format (EDF)will include analytical data, sample coordinate locations, soil boring, groundwater, stormwater, influent, effluent, and monitoring well information. AECOM will coordinate with the laboratory prior to data reporting to ensure compliance. 2.4.2 Verification and Validation Methods Although data verification and validation are commonly used terms, they are defined and applied differently. According to EPA Guidance on Environmental Data Verification and Data Validation (EPA/240/R-02/004) (USEPA, 2002), data verification is the process of evaluating the completeness, correctness, and conformance/compliance of a specific data set against the method, procedural, or contractual requirements. Data validation is an analyte and sample specific process that extends the evaluation of data beyond method, procedural, or contractual compliance to determine the analytical quality of a specific data set. Analytical data validation will be performed routinely to determine if the laboratory data is meeting the DQI's for the project. Discrepancies noted during the verification process may require the data validation team to alert the end user to limitations of the data. In addition, data validation may be requested for data used in court cases. EPA National Functional Guidelines and Department of Defense Quality Systems Manual Version 5.3 (DoD, 2019) (or most current version) will be used as a source of performance criteria for review of the data. The guidelines are designed to assist an experienced reviewer in the technical review of laboratory data. A Stage 2B validation will be performed. Specific areas of data review covered include chain of custody forms, laboratory receipt checklist, sample related QC data and QC acceptance criteria linked to field samples, requested spike analytes as appropriate (LCS, matrix spikes), QC sample frequency, initial calibration summaries, initial and continuing calibration verification summaries, instrument performance check summaries, and preparation logs. Further details on the level of validation are included in DoD Validation Guidelines Module 3: Data Validation Procedure for Per-and Polyfluoroalkyl Substance by QSM Table B-15 (DoD, 2020). By using these guidelines in addition to the criteria in the analytical methods, an experienced reviewer can qualify, accept, or reject laboratory data. All data will be verified to ensure they are representative of samples analyzed and locations where measurements were made, and that sample data and the associated QC data conform to project specifications. The staff and management of the respective field, laboratory, and data AECOM 8