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ESTABLISHING SENSITIVITY REQUIREMENTS FOR ENVIRONMENTAL ANALYSES FROM PROJECT DATA QUALITY OBJECTIVES

机译:从项目数据质量目标建立对环境分析的灵敏度要求

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摘要

This article proposes a simple strategy for establishing sensitivity requirements (quantitation limits) for environmental chemical analyses when the primary data quality objective is to determine if a contaminant of concern is greater or less than an action level (e.g.,an environmental "cleanup goal," regulatory limit,or risk-based decision limit).The approach assumes that the contaminant concentrations are normally distributed with constant variance (i.e.,the variance is not significantly dependent upon concentration near the action level).When the total or "field" portion of the measurement uncertainty can be estimated,the relative uncertainty at the laboratory's quantitation limit can be used to determine requirements for analytical sensitivity.If only the laboratory component of the total uncertainty is known,the approach can be used to identify analytical methods or laboratories that will not satisfy objectives for sensitivity (e.g.,when selecting methodology during project planning).
机译:本文提出了一种简单的策略,当主要数据质量目标是确定所关注的污染物是否大于或小于某个操作水平(例如,环境“清理目标”)时,为环境化学分析建立敏感性要求(定量限)。该方法假定污染物浓度呈正态分布,且具有恒定的方差(即,方差在很大程度上不取决于行动水平附近的浓度)。可以估计测量不确定度,可以使用实验室定量极限处的相对不确定度来确定分析灵敏度的要求。如果仅知道总不确定度的实验室组成部分,则可以使用该方法来识别分析不确定度的方法或实验室。不满足敏感性目标(例如,在项目计划中选择方法时) ng)。

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