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Estimation of anthropogenic pollution using a Bayesian contamination model: an application to fractured bedrock groundwater from Han River Watershed, South Korea

Authors
Joo, YongsungKim, DalhoLee, KeunbaikYun, Seong-TaekKim, Kyoung-HoMercante, Donald
Issue Date
May-2009
Publisher
WILEY
Keywords
contamination model; model-based clustering; mixture model; water quality; agricultural pollution
Citation
ENVIRONMETRICS, v.20, no.3, pp 221 - 234
Pages
14
Indexed
SCIE
SCOPUS
Journal Title
ENVIRONMETRICS
Volume
20
Number
3
Start Page
221
End Page
234
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/120123
DOI
10.1002/env.921
ISSN
1180-4009
1099-095X
Abstract
It is well known that groundwater is a valuable but Vulnerable natural resource. To set forth it proper strategy for conservation and sustainable use of groundwater resources, we need precise evaluations of the human impact on groundwater quality. In this paper, we develop it Bayesian contamination model that clusters the sampling locations of groundwater into polluted and unpolluted groups and simultaneously estimates the average amount Of human impact. Among major dissolved ions in groundwater, NO3-, Ca2+, SO42-, Cl-. and Na+ were documented as useful variables describing the hydrochernical characteristics of anthropogenically Polluted groundwater. Increased concentrations of these ions indicate that overused agrochemicals, (particularly nitrogen fertilizers) and domestic sewage are the most important causes of groundwater Pollution to considerable depths in the studied region. Our proposed model can be used to identify effective measures for groundwater quality management such as source control. Copyright (c) 2008 John Wiley & Sons, Ltd.
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