Contamination severity index: An analysis of Bangladesh groundwater arsenic

IF 1.5 3区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
Environmetrics Pub Date : 2024-04-16 DOI:10.1002/env.2850
Yogendra P. Chaubey, Qi Zhang
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引用次数: 0

Abstract

This article deals with the measurement of groundwater arsenic ( A s $$ As $$ ) contamination. The focus is on using a proper index for the severity of contamination, rather than just using the proportion of observations above a threshold level. We specifically focus on the contamination severity index (CSI) proposed by Sen (2016. Sankhya B, 78B(2), 341–361.). An alternative estimator in contrast to the one given by Sen (2016. Sankhya B, 78B(2), 341–361.) is used here which is useful for a small number of observations. The data used is that collected by the British Geological Society and the Bangladesh Department of Public Health Engineering during 1997–2001. Their analysis was based on the simple proportion of the observations above a threshold level, whereas the CSI measure adequately takes into account the severity of the observations. It is emphasized in this article that the comparison of areas with average arsenic ( A s $$ As $$ ) levels to determine arsenic severity is not appropriate in general due to a large variation in the sample values due to the depth of wells. However, an alternative to the CSI proposed in Sen (2016. Sankhya B, 78B(2), 341–361.) has been given in this article that takes into account the depth of wells corresponding to the A s $$ As $$ samples. This article also uses the bootstrap methodology in assessing the bias and standard errors of the estimators, and the corresponding bias-corrected and accelerated confidence intervals.

Abstract Image

污染严重程度指数:孟加拉国地下水砷分析
本文涉及地下水砷()污染的测量。重点在于使用适当的污染严重程度指数,而不仅仅是使用超过阈值水平的观测值比例。我们特别关注 Sen(2016 年)提出的污染严重程度指数(CSI)。Sankhya B,78B(2),341-361)。与 Sen(2016.Sankhya B,78B(2),341-361.)不同的另一种估计方法,该方法适用于少量观测数据。所使用的数据是英国地质学会和孟加拉国公共卫生工程部在 1997-2001 年期间收集的数据。他们的分析是基于超过临界值的观测值的简单比例,而 CSI 测量则充分考虑了观测值的严重程度。本文强调,由于水井深度不同,样本值差异很大,因此一般来说,比较砷()平均水平的地区来确定砷严重程度是不合适的。不过,Sen(2016.Sankhya B, 78B(2), 341-361.)中提出的 CSI 的替代方法,该方法考虑了与样本相对应的水井深度。本文还使用引导法评估了估计值的偏差和标准误差,以及相应的偏差校正置信区间和加速置信区间。
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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来源期刊
Environmetrics
Environmetrics 环境科学-环境科学
CiteScore
2.90
自引率
17.60%
发文量
67
审稿时长
18-36 weeks
期刊介绍: Environmetrics, the official journal of The International Environmetrics Society (TIES), an Association of the International Statistical Institute, is devoted to the dissemination of high-quality quantitative research in the environmental sciences. The journal welcomes pertinent and innovative submissions from quantitative disciplines developing new statistical and mathematical techniques, methods, and theories that solve modern environmental problems. Articles must proffer substantive, new statistical or mathematical advances to answer important scientific questions in the environmental sciences, or must develop novel or enhanced statistical methodology with clear applications to environmental science. New methods should be illustrated with recent environmental data.
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