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December 23, 1999 <br />Pa,Ke 27 <br />Labor•nlory Blmrks <br />The laboratory should process one blank sample for every ]0-20 samples processed. This <br />data will be provided to American Soda in the laboratory QC report, and will be maintained with <br />project records. <br />5.6 External Quality Control Checks-Third-Party Data Validation <br />The validity of the laboratory water quality data will be assessed annually by a third-party <br />analytical [aboratory. American Soda intends to preferentially use the USGS analytical laboratory <br />facilities for third-party validation. Water quality samples will be collected by American Soda <br />personnel or USGS personnel, at the discretion of the USGS. The monitoring wells will be <br />sampled in a logical sequence, such that all wells are sampled equally. The third-party laboratory <br />will analyze parameters from WQ2 (Table 3) and prepare a report documenting the results. A <br />Colorado-certified analytical laboratory that is not in any other way involved with the Yankee <br />Gulch Section Minerals Project will be used as a secondary alternative to the USGS laboratory. <br />5.7 Preventative Maintenance <br />• If a procedure calls for the use of any instruments, the instrument will be calibrated <br />according to manufacturer's recommendations. In general, preventative maintenance will follow <br />procedures from the manufacturer, A schedule of calibration and maintenance will be kept with <br />the instrument. <br />5.8 Data Assessment Procedures <br />Data quality will be evaluated based on sampling techniques and analytical quality <br />controls. A State of Colorado-certified laboratory will be used, therefore, formalized audits of <br />laboratory systems by American Soda will not be conducted. Informal audits of field work will be <br />sufficient to ensure that SOPS are being followed. Performance of both field and laboratory QA <br />systems will be assessed based on results of laboratory and field quality control samples. <br />A general evaluation of data quality will consider potential sources of error, including <br />gross errors, systematic errors, and random errors. The percent difference between duplicate <br />samples and the analytical results from any blank samples will be evaluated. <br />5.9 Corrective Action <br />Corrective action indicators have been developed for deviations from established water <br />• quality data, process monitoring, and hydrostatic pressure monitoring. The corrective action <br />criteria for such deviations are presented in this section. <br />Agapito Associates, lnc. <br />