GIS Mapping for Marine Scientific Monitoring Information after Oil Spill Accident

DC Field Value Language
dc.contributor.author 김태훈 -
dc.contributor.author 최현우 -
dc.date.accessioned 2020-07-16T10:31:54Z -
dc.date.available 2020-07-16T10:31:54Z -
dc.date.created 2020-02-11 -
dc.date.issued 2012-11-27 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/27291 -
dc.description.abstract Most of coastal region of Taean in Korea were seriously damaged by ‘Hebei Spirit’ oil spill accident in December 7, 2007. To evaluate this oil contaminant status, marine scientific monitoring has been done continuously in the field oil pollution, marine ecosystem, and marine environment. For the management and use of these monitoring results,several kinds of data were collected and keyed into database. This paper is aimed to use and understand the monitoring results effectively using GIS. Therefore, two kinds of GIS thematic maps were made; MOP(marin oil pollution) thematic map for the comparison of temporal and spatial variation of the monitoring data and MFMOP(monitoring frequency for marine oil pollution) dasymetric map for monitoring frequency to understand how many monitoring activities were done on the spatial basis. MOP thematic maps were made using 5 types of map template such as graduated symbols, graduated colors, charts, contours, and 3-D perspective views. MFMOP dasymetricmaps were made on the spatial scales of 2x2 km and 10x10 km grid -
dc.description.uri 1 -
dc.language English -
dc.publisher ACRS -
dc.relation.isPartOf Asian Conference on Remote Sensing 2012 -
dc.title GIS Mapping for Marine Scientific Monitoring Information after Oil Spill Accident -
dc.type Conference -
dc.citation.endPage 6 -
dc.citation.startPage 1 -
dc.citation.title Asian Conference on Remote Sensing 2012 -
dc.contributor.alternativeName 김태훈 -
dc.contributor.alternativeName 최현우 -
dc.identifier.bibliographicCitation Asian Conference on Remote Sensing 2012, pp.1 - 6 -
dc.description.journalClass 1 -
Appears in Collections:
Marine Digital Resources Department > Marine Bigdata & A.I. Center > 2. Conference Papers
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse