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GES <br /> • GENESIS ENGINEERING E REDEVELOPMENT <br /> analytical data. If QC standards are not met,then the cause must be ascertained and <br /> appropriate corrective action must be taken, but if the noncompliant situation can be rectified <br /> without affecting the integrity of the data,then data processing will proceed. Furthermore, if <br /> resolution of the problem will jeopardize the integrity of the data,then the sample in question <br /> must be reanalyzed, and if reanalysis fails to correct the problem,then the data will be <br /> flagged to indicate that the data are out of control limits. The internal review checks will be <br /> documented in the batch report and data review form in each data package. <br /> A minimum of 25 percent of the data generated during the investigation to Establish <br /> Background Concentrations will be validated by the Project Manager. The data validation <br /> approach will consist of a systematic review of the analytical results, associated QC methods <br /> and results, and all of the supporting data. Best professional judgment in any area not <br /> specifically addressed by U.S. EPA guidelines will be used as necessary. <br /> The following items may be reviewed by the Analytical QA Manager and Technical <br /> Coordinator to validate the data: <br /> • Sample holding times <br /> • • Documentation that the analytical results are in control and within the certified <br /> range <br /> • Documentation that data and calculations were checked by a reviewer who was not <br /> involved in the performance of sampling, analysis or data reduction <br /> • Calibration of methods and instruments <br /> • Routine instrument checks (calibration, control samples) <br /> • Documentation on traceability of instrument standards, samples, and data <br /> • Documentation on analytical methodology and QC methodology <br /> • The potential presence of interferences in analytical methods (check of reference <br /> blanks and spike recoveries) <br /> • Documentation of routine maintenance activity to ensure analytical reliability <br /> • Documentation of sample preservation and transport <br /> All data generated will be assessed for accuracy, precision, and completeness. Data <br /> assessment techniques will include routine QC checks and system audits. Precision will be <br /> assessed from analysis of duplicates and/or replicates of the same parameter at different <br /> times. Control charts will be maintained to provide a timely assessment of precision for <br /> measurement function. Accuracy will be assessed from analysis of samples spiked with <br /> known concentrations of reference materials and will be independent of the routine <br /> calibration process (reference materials will be obtained from independent sources and will <br /> . be prepared independently). <br /> William DePaoH Property 14 of 21 <br /> Quality Assumnce Project Plan <br /> February 2012 <br />