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      건물 침수피해 정보관리를 위한 개방형 정보모델의 응용방안 = Application of Open Information Model for the Information Management on Building Flood Damage

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      https://www.riss.kr/link?id=A101121970

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      다국어 초록 (Multilingual Abstract)

      A systematically structured 3D information model can be effectively utilized in many application fields. This study presents the methodology of generation and application of the city information model, which is suited for the management of the flood damage information. To ensure the interoperability and re-usability of the information, this study develops application methodology to utilize the information attributes included in the CityGML as an open standard data schema and extension methodology for additional information attributes. Also, an effective combining method for topography and building model was proposed. Using the data extracted from the combined information model based on a real flood damage case, it was shown that the numbers of casualties and isolation during a flood can be predicted and as a result, the applicability of the data model on flood damage estimation is naturally verified.
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      A systematically structured 3D information model can be effectively utilized in many application fields. This study presents the methodology of generation and application of the city information model, which is suited for the management of the flood d...

      A systematically structured 3D information model can be effectively utilized in many application fields. This study presents the methodology of generation and application of the city information model, which is suited for the management of the flood damage information. To ensure the interoperability and re-usability of the information, this study develops application methodology to utilize the information attributes included in the CityGML as an open standard data schema and extension methodology for additional information attributes. Also, an effective combining method for topography and building model was proposed. Using the data extracted from the combined information model based on a real flood damage case, it was shown that the numbers of casualties and isolation during a flood can be predicted and as a result, the applicability of the data model on flood damage estimation is naturally verified.

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      참고문헌 (Reference)

      1 박상일, "방재업무 활용을 위한 개방형 도시정보모델 생성" 한국전산구조공학회 27 (27): 321-328, 2014

      2 Raper, J. F., "Three Dimensional Applications in Geographic Information Systems" Taylor & Francis 11-19, 1989

      3 MOCT, "Study about Economic Analysis Method of Flood Control Project"

      4 MOLIT, "Special Law on the Safety Management of Public Structures"

      5 MLTM, "Regulation for Physical Map" Ministry of Land, Transport and Maritime Affairs 2010

      6 MOSF, "Regulation for National Accounting Standard"

      7 DHS, "Privacy Impact Assessment for the National Emergency Management Information System Individual Assistance (NEMIS-IA) Web-based and Clientbased Modules" Department of Homeland Security 18-, 2012

      8 Gröger, G., "OGC City Geography Markup Language (CityGML) Encoding Standard. OGC 12-019"

      9 Lee, Y. -J., "National Management System in Developed Countries" 35 : 47-53, 2005

      10 MOLIT, "National Architecture Information System"

      1 박상일, "방재업무 활용을 위한 개방형 도시정보모델 생성" 한국전산구조공학회 27 (27): 321-328, 2014

      2 Raper, J. F., "Three Dimensional Applications in Geographic Information Systems" Taylor & Francis 11-19, 1989

      3 MOCT, "Study about Economic Analysis Method of Flood Control Project"

      4 MOLIT, "Special Law on the Safety Management of Public Structures"

      5 MLTM, "Regulation for Physical Map" Ministry of Land, Transport and Maritime Affairs 2010

      6 MOSF, "Regulation for National Accounting Standard"

      7 DHS, "Privacy Impact Assessment for the National Emergency Management Information System Individual Assistance (NEMIS-IA) Web-based and Clientbased Modules" Department of Homeland Security 18-, 2012

      8 Gröger, G., "OGC City Geography Markup Language (CityGML) Encoding Standard. OGC 12-019"

      9 Lee, Y. -J., "National Management System in Developed Countries" 35 : 47-53, 2005

      10 MOLIT, "National Architecture Information System"

      11 KOSTAT, "Korean Statistical Information Service"

      12 Tehrany, M. S., "Flood Susceptibility Mapping Using A Novel Ensemble Weights-of-Evidence and Support Vector Machine Models in GIS" 512 : 332-343, 2014

      13 MLIT, "Flood Damage Index Analysis" Ministry of Land, Infrastructure, Transport and Tourism 96-, 2013

      14 NGII, "Digital Map"

      15 Shiau, Y. C., "Development of Building Fire Control and Management System in BIM Environment" 22 (22): 15-24, 2013

      16 신흥권, "Cube Avenue 시뮬레이션 모델을 이용한 중규모 재난대피 프로토타입 모델 연구" 한국공간정보학회 21 (21): 33-41, 2013

      17 Rueppel, U., "BIM-Based Indoor-Emergency-Navigation-System for Complex Buildings" 13 (13): 362-367, 2008

      18 Tsai, C. -H., "Application of Geographic Information System to The Allocation of Disaster Shelters via Fuzzy Models" 25 (25): 86-100, 2008

      19 Lee, B.-G, "A Study on The Development of Emergency Management System in Korean Local Government" Korea Research Institute for Local Administration 250-, 2008

      20 Li, N., "A BIM Centered Indoor Localization Algorithm to Support Building Fire Emergency Response Operations" 42 : 78-89, 2014

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2028 평가예정 재인증평가 신청대상 (재인증)
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      2019-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2015-12-01 평가 등재후보로 하락 (기타) KCI등재후보
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-05-29 학술지명변경 외국어명 : 미등록 -> Journal of the Computational Structural Engineering Institute of Korea KCI등재
      2005-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2002-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1999-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.27 0.27 0.23
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.22 0.2 0.443 0.03
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