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Development of Strategics for Establishment of Spatial Information by Assessment of GIS-Based Flood Risk

GIS기반 홍수위험도 평가를 통한 공간정보 구축 방안 개발

  • Received : 2015.01.22
  • Accepted : 2015.04.16
  • Published : 2015.04.30

Abstract

In this study, we evaluated flood risk by applying calculation fomula considering practical risk calculated by inundation analysis information through 2D inundation analysis, suggested a plan that provides a standardized information system. Generally, we evaluated flood risk to people and classified four degrees by using inundation depth, velocity, Debris Factor and Flood Hazard Rating relationship because current flood risk assessment method based inundation depth and area was considered to not fully reflect the actual risk to people on flood. We simulated overflow and levee break scenarios according to 500 year and 200 year floods, respectively, by using Flumen which is a 2D flood inundation model for Geumho river basin in Daegu. The result of this study could contribute to inform practical risk information to people in expected flood area. This study can be useful for the fields of disaster estimatingsuch as information analysis, evaluation, planning by offering Risk information based on standardized information system.

본 연구에서는 2차원 범람해석을 통해 도출된 침수해석정보에 현실적인 위험도를 고려한 산정식을 적용하여 홍수위험도를 평가하였고, 이를 표준화된 정보체계로 제공하는 방안을 제시하였다. 일반적으로 침수심과 침수구역을 기반으로 하는 현재의 홍수위험도 평가방법은 홍수발생시 사람에게 미치는 실질적인 위험도를 충분히 반영하지 못 할 것으로 판단되어 침수심, 유속, Debris Factor와 Flood Hazard Rating 관계식을 이용하여 외수범람이 사람에게 미치는 홍수위험도를 평가하고 4개로 등급화하였다. 이를 위해 2차원 외수범람해석 모형인 Flumen을 이용하여 대구의 금호강유역 대하여 500년 빈도 홍수로 인한 월류와 200년 빈도 홍수로 인한 파제 시나리오에 따라 외수범람을 모의하였다. 이러한 연구결과를 통해 외수범람시 침수가 예상되는 지역에 위치한 사람들에게 더 현실적인 위험도정보를 제공하고, 표준화된 정보체계 기반에서 위험도정보 제공이 가능해짐으로써 재해관련분야의 정보분석, 평가, 계획수립 등 다양한 분야에서 활용성을 증대시킬 수 있을 것으로 판단된다.

Keywords

References

  1. Apel, H; Aronica, G. T; Kreibich, H; Thieken, A. H. 2009, Flood risk analyses-how detailed do we need to be?, Natural Hazards, 49(1):79-98. https://doi.org/10.1007/s11069-008-9277-8
  2. De Moel, H; Aerts, J. C. J. H. 2011, Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates, Natural Hazards, 58(1):407-425. https://doi.org/10.1007/s11069-010-9675-6
  3. Department for Environment, Food and Rural Affairs, 2006, R&D OUTPUTS:FLOOD RISKS TO PEOPLE.
  4. Fluvial.ch, 2010, Flumen User Manual.
  5. Han River Flood Control Office, 2008, Flood Risk Maps Master Plan Report.
  6. Hoque, R; Nakayama, D; Matsuyama, H.; Matsumoto, J. 2011, Flood monitoring, mapping and assessing capabilities using RADARSAT remote sensing, GIS and ground data for Bangladesh, Natural Hazards, 57(2):525-548. https://doi.org/10.1007/s11069-010-9638-y
  7. Kang, S. H. 2010, Urban Inundation Modeling and Its Damage Evaluation Based on Loose-coupling GIS, Journal of Korea Spatial Information Society, 18(1):49-56.
  8. Kim, B. H; Choi, S. Y; Han, K. Y. 2011, An Analysis Method of 1D Hydrodynamic Model Based on GIS for Flood Inundation Mapping, Journal of Korean Society of Hazard Mitigation, 11(6):227-235. https://doi.org/10.9798/KOSHAM.2011.11.6.227
  9. Kim, T. H; Han, K. Y; Cho, W. H. 2011, Vulnerability Analysis in the Nakdong River Basin for the Utilization of Flood Risk Mapping, Journal of The Korean Association of Geographic Information Studies, 14(3):203-222. https://doi.org/10.11108/kagis.2011.14.3.203
  10. Lee, M. S; Jang, D. H; Lee, S. H. 2014, An Analysis of Flooded Areas by Flood Frequency for Drawing a Flood Risk Map : Focusing on Nonsancheon and Noseongcheon Basin, Journal of Climate Research, 9(2):153-166. https://doi.org/10.14383/cri.2014.9.2.153
  11. National Emergency Management Agency, 1990-2013, Disaster Annual Report.
  12. National Geographic Information Institute, 2011, 2011 Spatial Information Standardization Research.
  13. Pappenberger, F; Dutra, E; Wetterhall, F; Cloke, H. 2012, Deriving global flood hazard maps of fluvial floods through a physical model cascade, Hydrology and Earth System Sciences Discussions, 9, pp. 6615-6647. https://doi.org/10.5194/hessd-9-6615-2012
  14. Song, Y. S; Lee, P. S; Yeu, Y; Kim, G. H. 2012, Flood Risk Mapping using 3D Virtual Reality Based on Geo-Spatial Information, Journal of The Korean Society for Geo-Spatial Information System, 20(4):97-140. https://doi.org/10.7319/kogsis.2012.20.4.097

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