Natural background level analysis of heavy metal concentration in Korean Coastal sediments SCOPUS KCI

DC Field Value Language
dc.contributor.author Lim, D.-I. -
dc.contributor.author Choi, J.Y. -
dc.contributor.author Jung, H.S. -
dc.contributor.author Choi, H.W. -
dc.contributor.author Kim, Y.O. -
dc.date.accessioned 2020-05-11T08:50:14Z -
dc.date.available 2020-05-11T08:50:14Z -
dc.date.created 2020-02-28 -
dc.date.issued 2007-12 -
dc.identifier.issn 1598-141X -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/6505 -
dc.description.abstract This paper presents an attempt to determine natural background levels of heavy metals which could be used for assessing heavy metal contamination. For this study, a large archive dataset of heavy metal concentration (Cu, Cr, Ni, Pb, Zn) for more than 900 surface sediment samples from various Korean coastal environments was newly compiled. These data were normalized for aluminum (grain-size normalizer) concentration to isolate natural factors from anthropogenic ones. The normalization was based on the hypothesis that heavy metal concentrations vary consistently with the concentration of aluminum, unless these metals are of anthropogenic origin. So, the samples (outliers) suspected of receivingany anthropogenic input were removed from regression to ascertain the background relationship between the metals and aluminum. Identification of these outliers was tested using a model of predicted limits at 95%. The process of testing for normality (Kohnogorov-Smirnov Test) and selection of outliers was iterated until a normal distribution was achieved. On the basis of the linear regression analysis of the large archive (please check) dataset, background levels, which are applicable to heavy metal assessment of Korean coastal sediments, were successftilly developed for Cu, Cr, Ni, Zn. As an example, we tested the applicability of this baseline level for metal pollution assessment of Masan Bay sediments. -
dc.description.uri 3 -
dc.language Korean -
dc.publisher Korea Ocean Research and Development Institute -
dc.title Natural background level analysis of heavy metal concentration in Korean Coastal sediments -
dc.type Article -
dc.citation.endPage 389 -
dc.citation.startPage 379 -
dc.citation.title Ocean and Polar Research -
dc.citation.volume 29 -
dc.citation.number 4 -
dc.contributor.alternativeName 임동일 -
dc.contributor.alternativeName 정회수 -
dc.contributor.alternativeName 최현우 -
dc.contributor.alternativeName 김영옥 -
dc.identifier.bibliographicCitation Ocean and Polar Research, v.29, no.4, pp.379 - 389 -
dc.identifier.doi 10.4217/OPR.2007.29.4.379 -
dc.identifier.scopusid 2-s2.0-38549148268 -
dc.type.docType Article -
dc.identifier.kciid ART001221754 -
dc.description.journalClass 3 -
dc.description.isOpenAccess N -
dc.subject.keywordPlus aluminum -
dc.subject.keywordPlus background level -
dc.subject.keywordPlus coastal sediment -
dc.subject.keywordPlus data set -
dc.subject.keywordPlus heavy metal -
dc.subject.keywordPlus regression analysis -
dc.subject.keywordPlus sediment chemistry -
dc.subject.keywordPlus sediment pollution -
dc.subject.keywordPlus Asia -
dc.subject.keywordPlus Eurasia -
dc.subject.keywordPlus Far East -
dc.subject.keywordPlus Korea -
dc.subject.keywordPlus Masan Bay -
dc.subject.keywordPlus South Korea -
dc.subject.keywordPlus South Kyongsang -
dc.subject.keywordAuthor Linear regression -
dc.subject.keywordAuthor Mansan Bay -
dc.subject.keywordAuthor Background concentration -
dc.subject.keywordAuthor Coastal sediment -
dc.subject.keywordAuthor Heavy metals natural -
dc.description.journalRegisteredClass scopus -
dc.description.journalRegisteredClass kci -
Appears in Collections:
South Sea Research Institute > Library of Marine Samples > 1. Journal Articles
Sea Power Enhancement Research Division > Marine Domain & Security Research Department > 1. Journal Articles
Marine Digital Resources Department > Marine Bigdata & A.I. Center > 1. Journal Articles
Ocean Climate Solutions Research Division > Ocean Climate Response & Ecosystem Research Department > 1. Journal Articles
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