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조경화

Cho, Kyung Hwa
Water-Environmental Informatics Lab.
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dc.citation.startPage 128714 -
dc.citation.title JOURNAL OF HAZARDOUS MATERIALS -
dc.citation.volume 432 -
dc.contributor.author Kim, Soobin -
dc.contributor.author Kim, Minjeong -
dc.contributor.author Kim, Hyein -
dc.contributor.author Baek, Sang-Soo -
dc.contributor.author Kim, Woojung -
dc.contributor.author Kim, Sang Don -
dc.contributor.author Cho, Kyung Hwa -
dc.date.accessioned 2023-12-21T14:08:59Z -
dc.date.available 2023-12-21T14:08:59Z -
dc.date.created 2022-05-19 -
dc.date.issued 2022-06 -
dc.description.abstract Chemical accidents have threatened drinking water safety and aquatic systems when hazardous chemicals flow into inland waterbodies through pipelines in industrial complexes. In this study, a forecasting system was developed for the prevention of drinking water resource pollution by considering chemical transport/fate through both pipelines and river channels. To this end, we coupled a pipe network model (Storm Water Management Model) with a calibrated hydrodynamic model (Environmental Fluid Dynamics Code). In addition, we investigated whether chemical transport through pipelines would make a difference in chemical concentration predictions. For both pipelines and river channels, the results showed lower peak concentrations than those without pipelines, whereas the time of peak concentration did not change significantly. When chemicals were transported with both pipelines and river channels, the peak concentrations were 25.81% and 41.91% lower than those of chemicals carried directly into the Han and Geum Rivers without the pipeline transport. Further, our system is automated from scenario generation to analysis and usage is straightforward, with a simple input of accident information. The results of this study can be utilized to establish a safe water supply system and preliminary countermeasures against accidental water pollution in the future. -
dc.identifier.bibliographicCitation JOURNAL OF HAZARDOUS MATERIALS, v.432, pp.128714 -
dc.identifier.doi 10.1016/j.jhazmat.2022.128714 -
dc.identifier.issn 0304-3894 -
dc.identifier.scopusid 2-s2.0-85127216184 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/58554 -
dc.identifier.url https://www.sciencedirect.com/science/article/pii/S0304389422005039?via%3Dihub -
dc.identifier.wosid 000791315900002 -
dc.language 영어 -
dc.publisher ELSEVIER -
dc.title Chemical accidents in freshwater: Development of forecasting system for drinking water resources -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Engineering, Environmental; Environmental Sciences -
dc.relation.journalResearchArea Engineering; Environmental Sciences & Ecology -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Drinking water pollution -
dc.subject.keywordAuthor Chemical accident modeling -
dc.subject.keywordAuthor EFDC -
dc.subject.keywordAuthor SWMM -
dc.subject.keywordAuthor Toxic chemical -
dc.subject.keywordAuthor Scenario analysis -
dc.subject.keywordPlus HAN RIVER-BASIN -
dc.subject.keywordPlus MODEL -
dc.subject.keywordPlus MANAGEMENT -
dc.subject.keywordPlus SPILLS -
dc.subject.keywordPlus CATCHMENT -
dc.subject.keywordPlus SUPPORT -

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