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수질오염총량제 대응을 위한 경남 하천 수질의 시공간 경향성 분석

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dc.contributor.author선단비-
dc.contributor.author김지호-
dc.contributor.author김상민-
dc.contributor.author장민원-
dc.date.accessioned2022-12-26T13:31:20Z-
dc.date.available2022-12-26T13:31:20Z-
dc.date.issued2020-
dc.identifier.issn1225-8857-
dc.identifier.issn2288-9493-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/7478-
dc.description.abstractThis study aimed to provide a basic information for managing the water quality of national and regional 1st rivers in Gyeongnam by analyzing the emerging hot spot patterns in BOD, T-P, and TOC, and by grouping the changing trends into clusters. The emerging hot spot analysis for each water quality item was implemented in ArcGIS Desktop with monthly water quality data from 96 water environmental monitoring stations in Gyeongnam, and then four patterns of water quality change were classified by the K-mean cluster analysis. As for BOD, persistent cold spot pattern covered about 42.9% of target rivers, and T-P concentration tended to be low or be getting lower at over 70% of target rivers. While, for TOC, about 70% of target rivers resulted in oscillating hot spots. In addition, the cluster analysis showed that the downstream of Nakdong river had the top priority in terms of water quality management because of the increasing concentration for all the three water quality.-
dc.format.extent13-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국농촌계획학회-
dc.title수질오염총량제 대응을 위한 경남 하천 수질의 시공간 경향성 분석-
dc.title.alternativeAnalyzing the Spatio-temporal Trend in TMDL Water Quality for Gyeongnam Using Emerging Hot Spot Analysis-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.7851/ksrp.2020.26.4.053-
dc.identifier.bibliographicCitation농촌계획, v.26, no.4, pp 53 - 65-
dc.citation.title농촌계획-
dc.citation.volume26-
dc.citation.number4-
dc.citation.startPage53-
dc.citation.endPage65-
dc.identifier.kciidART002653740-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorEmerging hot spot-
dc.subject.keywordAuthorspace time cube-
dc.subject.keywordAuthorspatio-temporal trend-
dc.subject.keywordAuthortotal maximum daily load (TMDL)-
dc.subject.keywordAuthorwater quality-
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농업생명과학대학 > Department of Agricultural Engineering, GNU > Journal Articles

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농업생명과학대학 (지역시스템공학과)
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