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 | - |