Using field data analysis for environmental decision making and subsequent remediation at two example sites.

L. Splichal, G. DeLullo
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Abstract

One of the major challenges in remediating contaminated sites is having quick access to quality data on which to base remedial decisions as onsite work progresses. Case studies are presented at two Superfund sites where field screening and field analyses are used to provide these data. Emphasis is placed on the importance of high quality field data, as these data are the basis for remedial decisions prior to receipt of offsite laboratory confirmation. The decision-making processes for remediating contaminated soils and structures are presented in addition to project specifics including data quality objectives, field data collection procedures, quality assurance/quality control procedures, and comparisons of the field data with offsite laboratory results.
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在两个示例地点使用现场数据分析进行环境决策和随后的补救。
修复受污染场址的主要挑战之一是如何快速获得高质量的数据,以便根据现场工作的进展作出补救决定。在两个超级基金站点进行了案例研究,使用现场筛选和现场分析来提供这些数据。重点放在高质量现场数据的重要性上,因为这些数据是在收到场外实验室确认之前作出补救决定的基础。除了项目细节外,还介绍了修复受污染土壤和结构的决策过程,包括数据质量目标、现场数据收集程序、质量保证/质量控制程序以及现场数据与非现场实验室结果的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Data and metadata reporting standards for the U.S. Environmental Protection Agency's PM Supersites Research Program. Data and information quality strategic plan. How good are my data?: Information quality assessment methodology. The quality management system as a tool for improving stakeholder confidence. Two data bases in every garage: information quality systems.
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