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


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

DC Field Value Language Cha, YoonKyung ko Kim, Young Mo ko Choi, Jae-Woo ko Sthiannopkao, Suthipong ko Cho, Kyung Hwa ko 2015-04-02T04:09:30Z - 2015-04-01 ko 2016-01 ko
dc.identifier.citation CHEMOSPHERE, v.143, pp.50 - 56 ko
dc.identifier.issn 0045-6535 ko
dc.identifier.uri -
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.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 * 2016-01-25 * 2015-11-04 *
dc.identifier.doi 10.1016/j.chemosphere.2015.02.045 ko
dc.identifier.url ko
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