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2024 Vol.20, Issue 4 Preview Page

Original Article

31 December 2024. pp. 749-760
Abstract
Purpose: This study aims to quantitatively assess the direct damage to buildings caused by floods, which constitute the largest share of damage from natural disasters in South Korea. The evaluation employs HEC-RAS and GIS to develop a risk analysis model that contributes to the efficient allocation of resources and disaster management. Method: Scenarios were established based on river basic plans, and flood simulations were conducted using HEC-RAS 2D to visualize inundation depth and area. This data was used to create flood risk maps. Furthermore, building types, heights, and individual land value data were overlaid with the K-FRM model to predict direct flood damage. GIS integration enabled the incorporation and analysis of topographic and economic data for the study area. Result: A successful flood risk map creation system was developed, resulting in risk ratings based on inundation depth and area. By integrating building information and economic data analysis techniques, a method for predicting direct damage to domestic buildings that reflects structural and usage characteristics was proposed. Conclusion: The developed model can predict uncertain future losses, aiding in prioritizing disaster management projects and efficiently allocating resources. This research underscores the importance of risk and disaster management and provides crucial indicators for establishing safety plans.
연구목적: 본 연구는 국내 자연재난으로 인한 피해액에서 가장 큰 비율을 차지하는 홍수로 인한 피해액 중 건물의 직접 피해액을 HEC-RAS와 GIS를 활용하여 정량적으로 평가하고자 하였다. 이를 통해 자원의 효율적 배분과 재난관리에 기여할 수 있는 리스크 분석 모델을 개발하는 것이 목표이다. 연구방법: 하천 기본계획을 기반으로 시나리오를 설정하여 HEC-RAS 2D를 활용한 홍수 시뮬레이션을 통해 침수 깊이와 면적을 시각화하고, 이를 바탕으로 홍수 위험지도를 작성하였다. 또한, 건물의 종류와 층수(높이) 정보와 개별 공시지가 데이터를 중첩하여, K-FRM 모델을 근거로 홍수로 인한 직접 피해를 예측하는 방법을 연구하였다. 또한, GIS를 연계하여 연구지역의 지형정보와 경제데이터를 투입하고 분석하였다. 연구결과: 홍수 위험지도 작성 체계를 성공적으로 구축하였으며, 침수 깊이와 면적에 따른 위험등급을 도출하였다. 건물정보와 경제적 정보 분석기법의 통합을 통해 국내 건축물의 구조 및 용도를 반영한 직접 피해 예측 방법을 제시하였다. 결론: 개발된 모델은 불확실한 미래의 손실을 예측하고 이를 통해 재난 관리 사업의 우선순위를 선정하고 자원의 효율적 배분에 기여할 수 있다. 본 연구는 리스크 및 재난 관리의 중요성을 강조하며, 안전계획 수립에 중요한 지표를 제시하고자 하였다.
References
  1. FEMA (2004). Using HAZUS-MH for Risk Assessment. Federal Emergency Management Agency, Washington, D.C.
  2. Hwang, I.-G. (2022). Quantification of Flood Damage Using K-FRM. Master's Thesis, Kyungpook National University.
  3. Institute for Water Resources (2018). HEC-RAS 2D User's Manual. US Army Corps of Engineers, Washington, D.C.
  4. Jeon, S.-M., Song, J.-H., Choi, S.-G., Lee, K.-D., Kang, M.-S. (2018). "Simulation of 1D and 2D flooding in riverine farmland using HEC-RAS." Journal of The Korean Society of Agricultural Engineers, Vol. 60, No. 5, pp. 135-147.
  5. Kang, J.-H. (2022). Quantitative Flood Risk Assessment Using Building Information Fusion Technology and Precision Terrain Data. Master's Thesis, Sungkyunkwan University.
  6. Kim, D.-H. (2024). Analysis of Direct Flood Damage Using GIS and HEC-RAS 2D. Master's Thesis, Sungkyunkwan University.
  7. Kim, G.-H., Kim, K.-T. (2021). "Development of the K-FRM analysis tool for estimating flood damage costs to support economic analysis of flood control projects." Water for Future, Vol. 54, No. 5, pp. 14-22.
  8. Lee, G.-S., Lee, H.-S., Jung, K.-S. (2017). "Flood damage assessment using MD-FDA based on inundation map." Journal of the Korean Cadastre Information Association, Vol. 19, No. 3, pp. 29-40.10.46416/JKCIA.2017.12.19.3.29
  9. Ministry of the Interior and Safety (2020). Development of Damage Assessment and Prediction Technology Considering Direct and Indirect Typhoon Damage. Ministry of the Interior and Safety, Seoul, South Korea.
  10. Ministry of the Interior and Safety (2021). Disaster Yearbook. Ministry of the Interior and Safety, Seoul, South Korea.
  11. Patel, D.P., Ramirez, J.A., Srivastava, P.K., Bray, M., Han, D. (2017). "Assessment of flood inundation mapping of Surat city by coupled 1D/2D hydrodynamic modeling: A case application of the new HEC-RAS 5." Natural Hazards, Vol. 89, No. 1, pp. 93-130.10.1007/s11069-017-2956-6
  12. Seong, Y.-J. (2023). Quantification of Flood Risk and Uncertainty in Flood Inundation Model Based on Digital Twin. Ph.D. Dissertation, Kyungpook National University.
Information
  • Publisher :The Korean Society of Disaster Information
  • Publisher(Ko) :한국재난정보학회
  • Journal Title :Journal of the Society of Disaster Information
  • Journal Title(Ko) :한국재난정보학회논문집
  • Volume : 20
  • No :4
  • Pages :749-760