The use of method detection limits in environmental measurements.

N H Adams
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Abstract

Environmental measurements often produce values below the method detection limit (MDL). Because low or zero values may be used in determining compliance with regulatory limits, in determining emission factors (typical concentrations emitted by a given type of source), or in modeling efforts, there is considerable interest in methods for determining detection limits and in procedures for using MDLs in summary statistics. Selection of methods for determining detection limits and treatment of MDL data should depend on the end-use of the data. The MDL should be determined in the environmental matrix that contains the analyte of interest. Treatment of missing values (values below the MDL) should be specified before the initiation of a measurement effort. When calculating a mean value for a source or area, one approach is to set the missing values at the MDL. This approach is appropriate when there are significant risks associated with incorrectly assuming a low level of a toxic compound; this method of summarizing data introduces a positive bias. Missing values may be assumed to equal zero if there is not a high risk of overlooking a hazard; this method produces a negative bias. However, if enough measurement data are available and the distribution of these data can be established then look-up tables can be used to estimate missing values, using statistically based estimates, without introducing high or low biases in a calculated mean.

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环境测量中检测限方法的应用。
环境测量通常产生低于方法检测限(MDL)的值。由于低值或零值可用于确定是否遵守管制限度、确定排放因子(某一类型源排放的典型浓度)或在建模工作中,因此人们对确定检测限度的方法和在汇总统计中使用mdl的程序相当感兴趣。确定检测限和MDL数据处理方法的选择应取决于数据的最终用途。MDL应在包含感兴趣的分析物的环境矩阵中确定。缺失值(低于MDL的值)的处理应在开始测量工作之前指定。当计算一个源或区域的平均值时,一种方法是在MDL处设置缺失值。当错误地认为某一有毒化合物的含量很低存在重大风险时,这种方法是适当的;这种汇总数据的方法引入了正偏倚。如果忽略某一危险的风险不高,则可以假定缺失值为零;这种方法产生负偏置。然而,如果有足够的测量数据,并且可以建立这些数据的分布,那么可以使用查找表来估计缺失值,使用基于统计的估计,而不会在计算的平均值中引入高或低偏差。
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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