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常规抓取采样在小型武器靶场金属污染修复决策中的不足

Inadequacy of Conventional Grab Sampling for Remediation Decision-Making for Metal Contamination at Small-Arms Ranges.

作者信息

Clausen J L, Georgian T, Gardner K H, Douglas T A

机构信息

U.S. Army Corps of Engineers, Engineer Research and Development Center, Cold Regions Research and Engineering Laboratory, 72 Lyme Road, Hanover, NH, 03755, USA.

U.S. Army Corps of Engineers, 1616 Capitol Avenue, Omaha, NE, 68102, USA.

出版信息

Bull Environ Contam Toxicol. 2018 Jan;100(1):147-154. doi: 10.1007/s00128-017-2255-7. Epub 2018 Jan 3.

Abstract

Research shows grab sampling is inadequate for evaluating military ranges contaminated with energetics because of their highly heterogeneous distribution. Similar studies assessing the heterogeneous distribution of metals at small-arms ranges (SAR) are lacking. To address this we evaluated whether grab sampling provides appropriate data for performing risk analysis at metal-contaminated SARs characterized with 30-48 grab samples. We evaluated the extractable metal content of Cu, Pb, Sb, and Zn of the field data using a Monte Carlo random resampling with replacement (bootstrapping) simulation approach. Results indicate the 95% confidence interval of the mean for Pb (432 mg/kg) at one site was 200-700 mg/kg with a data range of 5-4500 mg/kg. Considering the U.S. Environmental Protection Agency screening level for lead is 400 mg/kg, the necessity of cleanup at this site is unclear. Resampling based on populations of 7 and 15 samples, a sample size more realistic for the area yielded high false negative rates.

摘要

研究表明,由于其高度不均匀的分布,抓取采样不足以评估受含能材料污染的军事靶场。目前缺乏类似的关于评估小武器靶场(SAR)中金属不均匀分布的研究。为了解决这个问题,我们评估了抓取采样是否能为在以30 - 48个抓取样本为特征的金属污染SAR中进行风险分析提供合适的数据。我们使用蒙特卡罗随机重采样替换(自助法)模拟方法评估了现场数据中铜、铅、锑和锌的可提取金属含量。结果表明,某一地点铅(432毫克/千克)均值的95%置信区间为200 - 700毫克/千克,数据范围为5 - 4500毫克/千克。考虑到美国环境保护局铅的筛选水平为400毫克/千克,该地点是否需要清理尚不清楚。基于7个和15个样本数量进行重采样,对于该区域更现实的样本量产生了较高的假阴性率。

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