Magnetic evaluation of sediment provenance in the northern East China Sea using fuzzy c-means cluster analysis SCIE SCOPUS

DC Field Value Language
dc.contributor.author Kim, Wonnyon -
dc.contributor.author Doh, Seong-Jae -
dc.contributor.author Yu, Yongjae -
dc.contributor.author Lee, Yong Il -
dc.date.accessioned 2020-04-20T05:53:12Z -
dc.date.available 2020-04-20T05:53:12Z -
dc.date.created 2020-01-28 -
dc.date.issued 2013-03-01 -
dc.identifier.issn 0025-3227 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/3212 -
dc.description.abstract To identify the provenance of fine-grained sediments in the northern East China Sea, various magnetic parameters indicating concentration (magnetic susceptibility, susceptibility of anhysteretic remanent magnetization (chi(ARM)), and saturation of isothermal remanent magnetization (SIRM)), mineral composition (S-300 = -IRM-300 (mT)/SIRM and HIRM (%) = 50 (SIRM IRM300 mT)/SIRM), and grain size (frequency-dependent magnetic susceptibility (chi(FD)), chi(ARM)/SIRM, and S-20 = IRM20 (mT)/SIRM) were measured from surface sediments collected at 98 regularly spaced sites. As an unbiased analytic tool, fuzzy clustering analysis was performed on data from 97 sites except an outlier. Each dataset for each site comprised magnetic parameters representing ultrafine superparamagnetic (chi(FD)), fine single-domain or pseudo-single-domain (chi(ARM)/SIRM), and coarse multidomain (S-20) fractions, and the relative dominance of low- and high-coercivity minerals (S-300 and HIRM (%), respectively). The statistical analysis yielded four clusters, indicating that the sediments in the study area can be differentiated magnetically. Of the magnetic properties of the cluster centers, the most distinctive feature of cluster 1 is a predominance of coarse-grained magnetic minerals (highest S20 value), while the contribution of high-coercivity minerals is highest in cluster 2 (highest HIRM (%) value). Ultrafine- and fine-grained fractions are prominent in cluster 3 (highest X-FD and x(ARM)/SIRM values), while cluster 4 has the highest ratio of low- to high-coercivity minerals (highest S-300 value). Related to sediment provenance, the sediments of cluster 1 are interpreted to have been derived from the Yangtze River in China. The old Yellow River deposits are the primary source of sediments in cluster 2. Sediments in cluster 3 were probably transported from Taiwan or the Northwest Pacific by the Taiwan Warm Current or the Kuroshio Current, respectively, while Korean river deposits are the most probable sources of sediments in cluster 4. (C) 2013 Elsevier B.V. All rights reserved. -
dc.description.uri 1 -
dc.language English -
dc.publisher ELSEVIER SCIENCE BV -
dc.subject ISOTHERMAL REMANENT MAGNETIZATION -
dc.subject SOUTHEASTERN YELLOW-SEA -
dc.subject ACQUISITION CURVES -
dc.subject AZORES REGION -
dc.subject INNER-SHELF -
dc.subject DISCRIMINATION -
dc.subject ATLANTIC -
dc.subject ORIGIN -
dc.subject ACCUMULATION -
dc.subject DEPOSITS -
dc.title Magnetic evaluation of sediment provenance in the northern East China Sea using fuzzy c-means cluster analysis -
dc.type Article -
dc.citation.endPage 19 -
dc.citation.startPage 9 -
dc.citation.title MARINE GEOLOGY -
dc.citation.volume 337 -
dc.contributor.alternativeName 김원년 -
dc.identifier.bibliographicCitation MARINE GEOLOGY, v.337, pp.9 - 19 -
dc.identifier.doi 10.1016/j.margeo.2013.01.001 -
dc.identifier.scopusid 2-s2.0-84877676238 -
dc.identifier.wosid 000320085400002 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.subject.keywordPlus ISOTHERMAL REMANENT MAGNETIZATION -
dc.subject.keywordPlus SOUTHEASTERN YELLOW-SEA -
dc.subject.keywordPlus ACQUISITION CURVES -
dc.subject.keywordPlus AZORES REGION -
dc.subject.keywordPlus INNER-SHELF -
dc.subject.keywordPlus DISCRIMINATION -
dc.subject.keywordPlus ATLANTIC -
dc.subject.keywordPlus ORIGIN -
dc.subject.keywordPlus ACCUMULATION -
dc.subject.keywordPlus DEPOSITS -
dc.subject.keywordAuthor sediment provenance -
dc.subject.keywordAuthor East China Sea -
dc.subject.keywordAuthor magnetic properties -
dc.subject.keywordAuthor fuzzy cluster -
dc.relation.journalWebOfScienceCategory Geosciences, Multidisciplinary -
dc.relation.journalWebOfScienceCategory Oceanography -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Geology -
dc.relation.journalResearchArea Oceanography -
Appears in Collections:
Marine Resources & Environment Research Division > Ocean Georesources Research Department > 1. Journal Articles
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