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Stockton 99 Speedway Quality Assurance Project Plan April 12,2007 r Functional Guidelines for Inorganic Data Review (USEPA, 2002b). These guidance documents provide specific data validation criteria that can be applied to the data type generated for this project. Some data acquisition requirements may be less stringent; however, compliance in the quality control areas described in Section 3 will assure useful data are obtained during any given sampling event. The laboratory data will be reviewed for compliance with the applicable method and the quality of the data reported. The following summarizes the areas of data validation. a Data Completeness; • Holding Times; • Blanks; • Laboratory Control Samples; • Matrix Spike/Matrix Spike Duplicates; • Surrogates/Internal Standards (as applicable); Field Quality Control Samples; and • Compound Identification and Quantification. The application of data validation criteria is a function of project-specific DQOs. SGI's QA Manager will assess the overall quality of the analytical data. Results of the data validation review will be documented and summarized in.the respective report of data. All resulting documentation will be maintained in the project files. E 9.4 Data Qualifiers The data validation procedures were designed to review each data set and identify biases inherent to the data and determine its usefulness. Data validation flags may be applied to those sample results that fall outside of specified tolerance limits, and, therefore, did not meet the program's quality assurance objectives described in Section 3.3. If warranted, data validation flags to be used for this project are defined in the National Functional Guidelines (USEPA, 1999, 2002b). Data validation flags will indicate if results are considered anomalous, estimated, or rejected. Only rejected data are considered unusable ' for decision-making purposes; however, other qualified data may require further verification. E 9.5 Reconciliation with DQOs All data will be reconciled with the data quality criteria for the laboratory analysis set forth in this QAPP. As described in the above sections, all validation will be documented in an appropriate manner and data qualified to indicate when criteria are exceeded. Data not useful for inclusion in Site evaluations will be I °uaidy_.��,�Pro; -P�eRF,al.doc 9-2 The Source Group,Inc. f