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Cho, Kyung Hwa
Water-Environmental Informatics Lab (WEIL)
Research Interests
  • Water Quality Monitoring and Modeling, Water Treatment Process Modeling

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Bayesian modeling approach for characterizing groundwater arsenic contamination in the Mekong River basin

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dc.contributor.author Cha, YoonKyung ko
dc.contributor.author Kim, Young Mo ko
dc.contributor.author Choi, Jae-Woo ko
dc.contributor.author Sthiannopkao, Suthipong ko
dc.contributor.author Cho, Kyung Hwa ko
dc.date.available 2015-04-02T04:09:30Z -
dc.date.created 2015-04-01 ko
dc.date.issued 2016-01 ko
dc.identifier.citation CHEMOSPHERE, v.143, pp.50 - 56 ko
dc.identifier.issn 0045-6535 ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/11125 -
dc.description.abstract In the Mekong River basin, groundwater from tube-wells is a major drinking water source. However, arsenic (As) contamination in groundwater resources has become a critical issue in the watershed. In this study, As species such as total As (As-TOT), As(III), and As(V), were monitored across the watershed to investigate their characteristics and inter-relationships with water quality parameters, including pH and redox potential (Eh). The data illustrated a dramatic change in the relationship between As-TOT and Eh over a specific Eh range, suggesting the importance of Eh in predicting As-TOT. Thus, a Bayesian change-point model was developed to predict As-TOT concentrations based on Eh and pH, to determine changes in the As-TOT-Eh relationship. The model captured the Eh change-point (similar to-100 +/- 15 mV ), which was compatible with the data. Importantly, the inclusion of this change-point in the model resulted in improved model fit and prediction accuracy; As-TOT concentrations were strongly negatively related to Eh values higher than the change-point. The process underlying this relationship was subsequently posited to be the reductive dissolution of mineral oxides and As release. Overall, As-TOT showed a weak positive relationship with Eh at a lower range, similar to those commonly observed in the Mekong River basin delta. It is expected that these results would serve as a guide for establishing public health strategies in the Mekong River Basin. ko
dc.description.statementofresponsibility close -
dc.language 영어 ko
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD ko
dc.title Bayesian modeling approach for characterizing groundwater arsenic contamination in the Mekong River basin ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84951570061 ko
dc.identifier.wosid 000366776000008 ko
dc.type.rims ART ko
dc.description.wostc 0 *
dc.description.scopustc 0 *
dc.date.tcdate 2016-01-25 *
dc.date.scptcdate 2015-11-04 *
dc.identifier.doi 10.1016/j.chemosphere.2015.02.045 ko
dc.identifier.url http://www.sciencedirect.com/science/article/pii/S0045653515001599 ko
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