Remedial Investigation/Baseline Risk Assessment for the Ravines and Beach Area Study Areas of the Surplus Operable Unit, Fort Sheridan, Illinois, Volume 2 - RI Appendices J-Q

Abstract

Fort Sheridan performed validation of analytical data that were collected during the Phase I Remedial investigation (RI) in 1990 to 1991. As required by the Final Overall Quality Assurance Project Plan Remedial Investigation/ Feasibility Study, Fort Sheridan, Illinois (OQAPP), Environmental Science & Engineering, Inc. (ESE), 1995, the validation was performed in accordance with the U.S. Environmental Protection Agency (USEPA) Contract Laboratory National Functional Guidelines. The results of the validation can be found in detail in the Final Data Validation Report (ECG, April 1996). The data validation process resulted in some of the data being assigned qualifiers "R" (meaning rejected) and "J" (meaning estimated). The significance of these two qualifiers on data usability for the RI was discussed between representatives of Fort Sheridan, USEPA, Illinois EPA, the U.S. Army Environmental Center (USAEC), and ESE. It was determined from this discussion and regulatory comments that resampling of most of the rejected (R-flagged) data would be conducted to replace the Phase I data. Also, at least 10 percent of the J-flagged samples would be resampled/ reanalyzed and compared with the Phase I results to provide an indication of overall data quality.

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Document Details

Document Type
Technical Report
Publication Date
Apr 13, 1998
Accession Number
ADA346813

Tags

Communities of Interest

  • Advanced Electronics
  • Cyber

DTIC Thesaurus Topics

  • Accuracy
  • Alkenes
  • Aromatic Polycyclic Hydrocarbons
  • Base Closures
  • Data Sets
  • Department Of Defense
  • Detection
  • Ecology
  • Engineering
  • Environmental Protection
  • Ethers
  • Hard Copy
  • Ocean Observing Systems
  • Plastic Explosives
  • Quality Control
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Environmental Remediation and Restoration.
  • Regression Analysis.