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KIRTLAND AIR FORCE BASE ALBUQUERQUE, NEW MEXICO ...

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APPENDIX C<br />

Numerical value and units of each field measurement are documented<br />

Field equipment is decontaminated as specified<br />

Any deficient condition that may potentially affect the sample integrity and/or data quality will be<br />

discussed with the field personnel immediately upon discovery. Field corrective measures will be<br />

implemented as discussed in the FSP (Appendix A of the BWP) and any project specific addenda. A<br />

report identifying all deficient conditions will be prepared and submitted as stated in the DMP.<br />

2.30 Data Reduction<br />

Data reduction frequently includes computation of analytical results from raw instrument data and<br />

summary statistics, including standard errors, confidence intervals, test of hypothesis relative to the<br />

parameters, and model validation. Procedures address the reliability of computations and the overall<br />

correctness of the data reduction. The numerical transformation algorithms used for data reduction will<br />

be verified against a known problem set to ensure that the reduction methods are correct. Standard<br />

analytical procedures will be used for analytical and data reduction.<br />

The data generated will be used to satisfy individual project requirements. The equations and the typical<br />

calculation sequence that should be followed to reduce the data to the acceptable format are instrumentand<br />

method-specific.<br />

Auxiliary data produced for internal records and not reported as part of the analytical data include the<br />

following: laboratory worksheets, laboratory notebooks, sample tracking system forms, instrument logs,<br />

standard records, maintenance records, calibration records, and associated QC. These sources will<br />

document data reduction and will be available for inspection during audits and to determine the validity<br />

of data.<br />

A multidisciplinary team (e.g., chemists, hydrologists, QA officers) will review field records and<br />

laboratory data to determine if any environmental data are not representative of environmental conditions<br />

due to deviations from acceptable field or laboratory practices. Such data will not be used.<br />

2.31 Reporting<br />

Following validation, a data-validation report summary will be prepared if required in the project scope<br />

of work. This report will document the reason for all qualifiers applied to the analytical data during the<br />

data validation process. All laboratory problems or results not meeting QC criteria will also be identified<br />

and the impact to data usability discussed. All investigation reports will include a summary of data<br />

quality and data validation.<br />

As required, analytical data will be provided by the laboratory in electronic format. The format may<br />

include the laboratory standard format or the ERPIMS electronic format as required for specific projects.<br />

For consistent reporting of analytical data in tabular format within reports and deliverables, the follwing<br />

information must be presented to meet the requirements of the NMED:<br />

Sample location ID<br />

Sample date<br />

Kirtland AFB<br />

Quality Assurance Project Plan C-49 April 2004

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