Relationship between manganese nodule abundance and geologic/topographic factors of the southern KODOS area in the northeastern equatorial Pacific using GIS and probability method SCOPUS KCI

DC Field Value Language
dc.contributor.author Ko, Y.-T. -
dc.contributor.author Min, K.-D. -
dc.contributor.author Park, C.-K. -
dc.contributor.author Kang, J.-K. -
dc.contributor.author Kim, K.-H. -
dc.contributor.author Lee, T.-G. -
dc.contributor.author Kim, H.-S. -
dc.date.accessioned 2020-04-20T15:40:08Z -
dc.date.available 2020-04-20T15:40:08Z -
dc.date.created 2020-01-28 -
dc.date.issued 2004 -
dc.identifier.issn 1598-141X -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/5329 -
dc.description.abstract The aims of this study are to construct database using geostatistics and Geographic Information System (GIS), and to derive the spatial relationships between manganese nodule abundance and each factor affecting nodule abundance, such as metal grade, slope, aspect, water depth, topography, and acoustic characteristics of the subbottom using the GIS and probability methods. The greater is the copper and nickel grade, the higher is the rating. The distribution pattern of nickel grade is similar to that of copper grade. The slopes are generally less than 3°, excluding seamounts and cliff areas. There is no increment in the rating with increasing slope. The rating is highest for slopes between 2.5 and 3.5° in block B2 and between 3 and 6° in block C1. The topography is classified into five groups: seamount, hill crest, hill slant, hill base or plain, and seafloor basin or valley. The ratings prove lowest for seamount and hill crest. The results of the study show a decrease in the rating with an increase in water depth in the study area. There was a poor relationship between manganese nodule abundance and the thickness of the upper transparent layer in block C1. Using GIS, it is possible to analyze a large amount of data efficiently, and to maximize the practical application, to increase specialization, and to enhance the accuracy of the analyses. -
dc.description.uri 3 -
dc.language English -
dc.publisher Korea Ocean Research and Development Institute -
dc.subject bottom topography -
dc.subject economic geology -
dc.subject geostatistics -
dc.subject GIS -
dc.subject manganese nodule -
dc.subject metals industry -
dc.subject nodulation -
dc.subject spatial distribution -
dc.subject Pacific Ocean -
dc.subject Pacific Ocean (Equatorial) -
dc.title Relationship between manganese nodule abundance and geologic/topographic factors of the southern KODOS area in the northeastern equatorial Pacific using GIS and probability method -
dc.type Article -
dc.citation.endPage 230 -
dc.citation.startPage 219 -
dc.citation.title Ocean and Polar Research -
dc.citation.volume 26 -
dc.citation.number 2 -
dc.contributor.alternativeName 고영탁 -
dc.contributor.alternativeName 박정기 -
dc.contributor.alternativeName 강정극 -
dc.contributor.alternativeName 김기현 -
dc.contributor.alternativeName 이태국 -
dc.contributor.alternativeName 김현섭 -
dc.identifier.bibliographicCitation Ocean and Polar Research, v.26, no.2, pp.219 - 230 -
dc.identifier.doi 10.4217/OPR.2004.26.2.219 -
dc.identifier.scopusid 2-s2.0-3543073542 -
dc.type.docType Article -
dc.identifier.kciid ART001118891 -
dc.description.journalClass 3 -
dc.subject.keywordPlus bottom topography -
dc.subject.keywordPlus economic geology -
dc.subject.keywordPlus geostatistics -
dc.subject.keywordPlus GIS -
dc.subject.keywordPlus manganese nodule -
dc.subject.keywordPlus metals industry -
dc.subject.keywordPlus nodulation -
dc.subject.keywordPlus spatial distribution -
dc.subject.keywordPlus Pacific Ocean -
dc.subject.keywordPlus Pacific Ocean (Equatorial) -
dc.subject.keywordAuthor Geographic Information System (GIS) -
dc.subject.keywordAuthor Manganese nodule -
dc.subject.keywordAuthor Probability -
dc.subject.keywordAuthor Rating -
dc.description.journalRegisteredClass scopus -
dc.description.journalRegisteredClass kci -
Appears in Collections:
Marine Resources & Environment Research Division > Ocean Georesources Research Department > 1. Journal Articles
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