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A Development of a Seismic Vulnerability Model and Spatial Analysis for Buildings

건물에 대한 지진취약도 모델링 및 공간 분석

  • Kim, Sang-Bin (Future City Research Division, Ulsan Research Institute) ;
  • Kim, Seong-Hoon (Department of Spatial Information Engineering, Namseoul University)
  • 김상빈 (울산연구원 미래도시연구실) ;
  • 김성훈 (남서울대학교 공간정보공학과)
  • Received : 2020.09.04
  • Accepted : 2020.10.20
  • Published : 2020.10.28

Abstract

The purpose of this study is to suggest a method of predicting seismic vulnerability and safety conditions of each building in a targeted area. The scope of this study includes 'developing a simulation model for precaution activities,' 'testing the validity of the developed model', From the facility point of view, target of this study is a local building system. According to the literature review, the number of earthquake prediction modeling and cases with GIS applied is extremely few and the results are not proficient. This study is conducted as a way to improve the previous researches. Statistic analyses are conducted using 348 domestic and international data. Finally, as a result of the series of statistical analyses, an adequate model is developed using optimization scale method. The ratio of correct expectation is estimated as 87%. In order to apply the developed model to predict the vulnerability of the several chosen local building systems, spatial analysis technique is applied. Gangnam-gu and Jongro-gu are selected as the target areas to represent the characteristics of the old and the new downtown in Seoul. As a result of the analysis, it is discovered that buildings in Gangnam-gu are relatively more dangerous comparing to those of Jongro-gu and Eunpyeong-gu.

현 연구는 개별 건물에 대한 지진취약도 예측 및 특정 관심 지역 내 전체 건물의 안전 상태를 예측하는 방법의 제시에 그 목적이 있다. 현 연구의 범위는 지진피해 저감 연구 중, 예방 활동에 속하는 시뮬레이터 모델개발, 모델 유효성 검증을 포함한다. 연구의 대상은 지역 건물 시스템이다. 선행연구 조사 결과, 국내의 지진 예측 모델링 및 그 결과를 GIS를 활용해 적용한 사례의 성과는 아직은 미비한 것으로 판단되었으며, 이를 다소간이나마 개선하기 위한 방편의 일환으로 현 연구가 진행되었다. 국내·외 총 348개의 데이터를 사용해 통계 분석이 실시되었다. 일련의 통계 분석 결과, 최적화 척도법에 의한 모델이 개발되었고, 모델의 예측 정확도는 87%로 산정되었다. 통계 분석을 통해 개발된 모델식을 지역 건물 시스템의 지진취약도 예측에 적용하기 위해, 공간 분석 기법이 활용되었다. 서울시 구도심과 신도심의 특성을 대표하는 강남구와 종로구 그리고 종로구와 지반 조건이 유사한 은평구를 대상 지역으로 선정하였고, 분석 결과 건물을 대상으로 강남구가 종로구와 은평구에 비해 위험한 것으로 예측되었다.

Keywords

References

  1. S. J. Park. (2007). Tectonic Movement in the Korean Peninsula (II): A Geomorphological Interpretation of the Spatial Distribution of Earthquakes. 42(4). 488-505.
  2. Comparison Between the Numbers and the Intensity of Earthquake. Korea Meteorological Administration. URL: http://www.kma.go.kr/
  3. Seoul Earthquake-Resistant Design Ratios. Seoul Open Data Plaza. http://data.seoul.go.kr/
  4. J. H. Koh, J. H. Kwon & Y. S. Choi. (2005). Error Assessment of Attitude Determination Using Wireless Internet-Based DGPS. Journal of the Korean Society of Survey, Geodesy, Photogrammetry, and Cartography. 23(3). 239-249.
  5. C. H. Hwang. (2012). A Study on Urban Damage Assessment by Earthquake Damage Assessment System. Seoul Venture University.
  6. C. W. Chu. (2017). A Study on Earthquake Hazard Mapping using Risk Factors. Conference of the Korean Society for Geospatial Information Science. 125-126.
  7. S. H. Eem, B. J. Yang & H. M. Jeon. (2018). Earthquake Damage Assessment of Buildings Using Opendata in the Pohang and the Gyeongju Earthquakes. Earthquake Engineering Society of Korea. 22(3). 121-128. https://doi.org/10.5000/EESK.2018.22.3.121
  8. I. B. Kang. & J. H. Park. (2002). The Seismic Hazard Study on Chung-Nam Province using HAZUS. Korean Society of Hazard Mitigation. 73-84. https://doi.org/10.9798/kosham.2017.17.6.73
  9. E. T. Yoon. (2005). A Study on the Seismic Damage Estimation in the Model District of Seoul City. Earthquake Engineering Society of Korea. 9(6). 41-52.
  10. S. Y. Kang, K. H. Kim, B. C. Suk & H. S. Yoo. (2007). Attenuation Relations in HAZUS for Earthquake Loss Estimations in Korea. Earthquake Engineering Society of Korea, 11(6), 15-21. https://doi.org/10.5000/EESK.2007.11.6.015
  11. FEMA-154. (2015). Rapid Visual Screening of Building for Potential Seismic Hazards: Supporting Documentation (Third Edition). Washington, D.C. : Federal Emergency Management Agency.
  12. FEMA-155. (2015). Rapid Visual Screening of Buildings for Potential Seismic Hazards: a Handbook (Third Edition). Washington, D.C. : Federal Emergency Management Agency.
  13. NIST. (2015). NIST Disaster and Failure Studies Data Repository: The Chile Earthquake Database - Ground Motion and Building Performance Data from the 2010 Chile Earthquake - User Manual.. Gaithersburg : National Institute of Standards and Technology.
  14. Building Data. Building Open Data Portal. URL: http://open.eais.go.kr/.
  15. Seoul City Building Data. National Spatial Data Infrastructure Portal. URL:http://www.nsdi.go.kr/lxportal/?menuno=2679.