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Contamination Severity Index: An Analysis of Bangladesh Groundwater Arsenic

Title:

Contamination Severity Index: An Analysis of Bangladesh Groundwater Arsenic

Chaubey, Yogendra P. ORCID: https://orcid.org/0000-0002-0234-1429 and Zhang, Qi (2020) Contamination Severity Index: An Analysis of Bangladesh Groundwater Arsenic. Technical Report. Concordia University, Montreal. (Unpublished)

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Abstract

This paper deals with measurement of ground water arsenic 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 in Sen (2016, Sankhya). An alternative estimator in contrast to the one given in Sen (2016) is used here that is useful for small number of observations. The data used is that collected by British Geological Society(BGS) and the BD Department of Public Health Engineering (DPHE) during 1997-2001. Their analysis was based on the simple proportion of the observations above a threshold level, where as the CSI measure adequately takes into account the severity of the observations also. We have also segmented the data into three categories of wells according to the depth of the wells instead of just the two categories, namely `deep' and `shallow' wells. It is emphasized in this manuscript that the comparison of areas with average arsenic (As) level to determine As severity is not appropriate as the regression of CSI on AAs is highly nonlinear and seemingly non-heteroscedastic; where as the CSI index proposed in Sen (2016), shows a clear picture, especially when the values are adjusted according to average log depth of the wells sampled at the thana and district levels.

Divisions:Concordia University > Faculty of Arts and Science > Mathematics and Statistics
Item Type:Monograph (Technical Report)
Authors:Chaubey, Yogendra P. and Zhang, Qi
Series Name:Technical Report Series, Dep. of Mathematics and Statistics
Institution:Concordia Univeristy
Date:June 2020
Funders:
  • Natural Sciences and Engineering Research Council
Keywords:BGS and DPHE hydrochemical survey, Contamination severity index, Ground water arsenic, Depth adjusted CSI
ID Code:986892
Deposited By: YOGENDRA CHAUBEY
Deposited On:17 Jun 2020 15:30
Last Modified:17 Jun 2020 15:30
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