인천만 조력에너지 개발을 위한 GIS 데이터모델링

DC Field Value Language
dc.contributor.author 오정희 -
dc.contributor.author 최현우 -
dc.contributor.author 박진순 -
dc.contributor.author 이광수 -
dc.date.accessioned 2020-07-16T15:51:29Z -
dc.date.available 2020-07-16T15:51:29Z -
dc.date.created 2020-02-11 -
dc.date.issued 2011-05-19 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/28386 -
dc.description.abstract Incheon Bay of Korea is one of the most famous regions for high tidal range. Ministry of Land, Transport and Maritime Affairs(MLTM) has implemented preliminary investigation for tidal power energy development in this area since 2006. Through field observations, various kinds of marine data consisting of depth and geography, marine weather, tidal currents, wave, seawater characteristics, geology, marine ecosystem and marine environment were gathered. To use these data efficiently for the determining of feasibility of developing and appropriateness of project scale, spatial data management and application system is essential. Therefore, in this study, the concept, methodology and procedure of spatial data modeling are defined for tidal energy development. Spatial data modeling consists of essential model relating to tidal energy directly and optional model including environmental factors. Essential model is composed with fundamental elements like as depth, geography, and several numerical modeling results(tide, tidal current, wave). -
dc.description.uri 2 -
dc.language English -
dc.publisher 한국신재생에너지학회 -
dc.relation.isPartOf 한국신재생에너지학회 2011 춘계학술대회 -
dc.title 인천만 조력에너지 개발을 위한 GIS 데이터모델링 -
dc.title.alternative GIS Data Modeling Plan for Tidal Power Energy Development -
dc.type Conference -
dc.citation.conferencePlace KO -
dc.citation.endPage 166 -
dc.citation.startPage 166 -
dc.citation.title 한국신재생에너지학회 2011 춘계학술대회 -
dc.contributor.alternativeName 오정희 -
dc.contributor.alternativeName 최현우 -
dc.contributor.alternativeName 박진순 -
dc.contributor.alternativeName 이광수 -
dc.identifier.bibliographicCitation 한국신재생에너지학회 2011 춘계학술대회, pp.166 -
dc.description.journalClass 2 -
Appears in Collections:
Marine Industry Research Division > Ocean Space Development & Energy Research Department > 2. Conference Papers
Sea Power Enhancement Research Division > Marine Domain & Security Research Department > 2. Conference Papers
Marine Digital Resources Department > Marine Bigdata & A.I. Center > 2. Conference Papers
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