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DC Field | Value | Language |
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dc.citation.endPage | 56 | - |
dc.citation.startPage | 50 | - |
dc.citation.title | CHEMOSPHERE | - |
dc.citation.volume | 143 | - |
dc.contributor.author | Cha, YoonKyung | - |
dc.contributor.author | Kim, Young Mo | - |
dc.contributor.author | Choi, Jae-Woo | - |
dc.contributor.author | Sthiannopkao, Suthipong | - |
dc.contributor.author | Cho, Kyung Hwa | - |
dc.date.accessioned | 2023-12-22T00:15:59Z | - |
dc.date.available | 2023-12-22T00:15:59Z | - |
dc.date.created | 2015-04-01 | - |
dc.date.issued | 2016-01 | - |
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. | - |
dc.identifier.bibliographicCitation | CHEMOSPHERE, v.143, pp.50 - 56 | - |
dc.identifier.doi | 10.1016/j.chemosphere.2015.02.045 | - |
dc.identifier.issn | 0045-6535 | - |
dc.identifier.scopusid | 2-s2.0-84951570061 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/11125 | - |
dc.identifier.url | http://www.sciencedirect.com/science/article/pii/S0045653515001599 | - |
dc.identifier.wosid | 000366776000008 | - |
dc.language | 영어 | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Bayesian modeling approach for characterizing groundwater arsenic contamination in the Mekong River basin | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Arsenic (As) contamination | - |
dc.subject.keywordAuthor | Groundwater | - |
dc.subject.keywordAuthor | Mekong River basin | - |
dc.subject.keywordAuthor | Bayesian change-point model | - |
dc.subject.keywordAuthor | Linear model | - |
dc.subject.keywordAuthor | Drinking water source | - |
dc.subject.keywordPlus | ARTIFICIAL NEURAL-NETWORK | - |
dc.subject.keywordPlus | DRINKING-WATER | - |
dc.subject.keywordPlus | CAMBODIA | - |
dc.subject.keywordPlus | SEDIMENTS | - |
dc.subject.keywordPlus | MANGANESE | - |
dc.subject.keywordPlus | REMOVAL | - |
dc.subject.keywordPlus | VIETNAM | - |
dc.subject.keywordPlus | FILTERS | - |
dc.subject.keywordPlus | INDIA | - |
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