Journal of Korean Society for Geospatial Information Science (대한공간정보학회지)

Korea Spatial Information Society (대한공간정보학회)
권호 표지
DOI QR코드

DOI QR Code

An Evaluation of Damage Scale on the Local Governments in Gangwon-do using Landslide Risk Maps

산사태 위험지도를 이용한 강원도 지자체의 피해규모 산정

  • Yang, In Tae (Dept. of Civil Engineering, Kangwon National University) ;
  • Park, Jae Kook (Dept. of GIS Engineering, Namseoul University) ;
  • Park, Kheun (Dept. of Civil Engineering, Kangwon National University)
  • 양인태 (강원대학교 토목공학과) ;
  • 박재국 (남서울대학교 GIS공학과) ;
  • 박건 (강원대학교 대학원 토목공학과)
  • Received : 2014.10.02
  • Accepted : 2014.12.17
  • Published : 2014.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study predicted damage areas due to landslides in Gangwon Province and estimated the scale of damage to roads, buildings, and forests on the local government level. By using old research findings to predict landslides, the study established techniques to make maps for landslide vulnerability, occurrence possibility, and risk. The scale of damage to roads, buildings, and forests was estimated at the local government level by making a landslide risk map for 100mm, 200mm, and 300mm of accumulated rainfall. The scale of damage to roads, buildings, and forests was estimated to be greatest in Hongcheon-gun, Jeongseon-gun, and Hongcheon-gun, respectively, in case of 100mm~200mm accumulated rainfall, in Chuncheon City, Pyeongchang-gun, and Hongcheon-gun, respectively, in case of 200mm~300mm accumulated rainfall, and in Hongcheon-gun in case of 300mm accumulated rainfall or more. Those estimation results of scale of damage by landslides at the local government level will help to set priorities in landslide prevention and provide basic data for budget decisions.

본 연구에서는 강원도를 대상으로 산사태로 인한 피해지역을 사전에 예측하였으며, 도로, 건물, 산림 등의 피해규모를 지자체별로 산정하였다. 산사태를 예측하기 위해서 기존의 연구 성과를 활용하여 산사태 취약성도, 발생가능성도, 위험지도 제작기법을 정립하였다. 도로, 건물, 산림의 산사태 피해규모는 누적강우량 100mm, 200mm, 300mm 발생시 각각의 산사태 위험지도를 제작하여 지자체별로 산정하였다. 그 결과 100mm~200mm 미만 누적강우량 발생시 도로피해는 홍천군, 건물피해는 정선군, 산림피해는 홍천군 순으로 나타났으며, 200mm~300mm 미만 누적강우량 발생시 도로피해는 춘천시, 건물피해는 평창군, 산림피해는 홍천군 순으로 나타났다. 특히, 300mm 이상 누적강우량 발생시 홍천군의 경우 도로, 건물, 산림피해가 다른 지자체에 비해서 가장 피해가 클 것으로 예측되었다. 이와 같이 지자체의 산사태 피해규모를 각각 산정함으로써 산사태 예방의 우선순위 결정뿐만 아니라 예산을 투입하는데 있어 의사결정의 기초자료가 될 수 있을 것으로 기대된다.

Keywords

References

  1. Choi, K., 1989, Methodologies for landslide prediction and prevention efforts, Research Databases of Korea Forest Research Institute, No. 27, pp. 1-3.
  2. Ham, D. H. and Hwang, S. H., 2014, Review of landslide forecast standard suitability by analysing landslide-inducing rainfall, Journal of Korean Society of Hazard Mitigation, Vol. 14. No. 3, pp. 299-310. https://doi.org/10.9798/KOSHAM.2014.14.3.299
  3. Jeon, W. H., 2006, An assessment for effect of landslide on maximum Accumulated Rainfall using GIS, Master's Degree Thesis, Kangwon National University.
  4. Lee, M. G., 2011, Landslide susceptibility mapping using frequency ratio and logistic regression model in the bukgun-dong area, Gyeongju, Korea, Master's Degree Thesis, Kyungpook National University.
  5. Park, J. K., Yang, I. T., Kim, T. H., Park, H. G., 2008, Extraction of landslide risk area using GIS, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 26, No. 1, pp. 27-39.
  6. Pyo, S. I., 2005, Analysis of landslide hazard prediction map using remotely sensed data & GIS technic in Samcheok-city, Kangwon-do, Master's Degree Thesis, Chungnam National University.
  7. Quan, H. C., Lee, B. G., Lee, C. S., Ko, J. W., 2011, The landslide probability analysis using logistic regression analysis and artificial neural network methods in Jeju, Journal of the Korea Society for Geospatial Information System, Vol. 19, No. 3, pp. 33-40.
  8. Yang, I. T., Chun, K. S., Park, J. K., Lee, S. Y., 2007, An estimation to landslide vulnerable area of rainfall condition using GIS, Journal of the Korea Society for Geospatial Information System, Vol. 15, No. 1, pp. 39-46.
  9. Yang, I, T., Park, J. K., Jeon, W. H., Chun, K. S., 2007, An evaluation of landslide probability by maximum continuous rainfall in Gangwon, Korea, Journal of the Korea Society for Geospatial Information System, Vol. 15, No. 4, pp. 11-20.
  10. Yoo, N. J., and others, 2012, Analysis of rainfall characteristics and landslides at the west side area of Gangwon province, Journal of the Korean Geoenvironmental Society, Vol. 13, No. 9, pp. 75-82.