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GeosMtec® <br /> consultants <br /> In addition to the applicable DQIs specified above, the following DQIs will be assessed <br /> for radionuclide data as part of review, when appropriate: <br /> • tracers or carriers; <br /> • excessive uncertainty; <br /> • biased negativity; <br /> • minimum detectable concentrations (MDC) and critical levels (to assess <br /> sensitivity compared to project-specific requirements); and <br /> • duplicate error ratio (DER). <br /> Data will be validated according to applicable guidelines set forth in the following <br /> sources, as appropriate for the analytical methods: <br /> • U.S. EPA Draft Region 9 Superfund Data Evaluation/Validation Guidance, <br /> R9QA/006.1, December 2001 (U.S. EPA, 2001b); <br /> • U.S. EPA National Functional Guidelines for Inorganic Superfund Methods Data <br /> Review,November 2020 (EPA-542-R-20-006) (U.S. EPA, 2020a); <br /> • U.S. EPA National Functional Guidelines for Superfund Organic Methods Data <br /> Review,November 2020 (EPA-540-R-20-005) (U.S. EPA, 2020b); and <br /> • American Nuclear Society, Verification and Validation of Radiological Data for <br /> Use in Waste Management and Environmental Remediation, ANSI/ANS-41.5- <br /> 2012, February 2012 (American Nuclear Society, 2012). <br /> In the event that these guidelines are updated, the most recent applicable guidelines will <br /> be used for data validation and verification. <br /> The data verification and validation tasks will be performed and documented by the QA <br /> Manager. The QA Manager will assess whether the objectives for the analytical data have <br /> been met and apply appropriate data qualifiers as necessary. In any area not specifically <br /> addressed by the above sources,best professional judgment will be utilized and described <br /> in the data validation document. Data validation qualifiers will indicate whether results <br /> are considered anomalous, estimated, or rejected. Only rejected data are considered <br /> unusable for decision-making purposes;however,other qualified data may require further <br /> verification. <br /> Results of the data validation will be documented and summarized in a data validation <br /> memorandum. The memorandum is submitted to the Project Manager for review. The <br /> Quality Assurance Project Plan 11 30 April 2025 <br />