DOI QR코드

DOI QR Code

위성자료를 활용한 미계측유역의 홍수피해액 추산기법 개발 및 적용

Development and application of the estimation method of flood damage in the ungauged basin using satellite data

  • 염웅선 (서경대학교 대학원 도시기반방재안전공학과) ;
  • 박동혁 ((주)라온티앤씨 R&D센터) ;
  • 안재현 (서경대학교 이공대학 토목건축공학과)
  • Yeom, Woong-Sun (Department of Urban Infrastructure and Disaster Prevention Engineering, Seokyeong University) ;
  • Park, Dong-Hyeok (Research Institute, RAON T&C) ;
  • Ahn, Jaehyun (Department of Civil and Architectural Engineering, Seokyeong University)
  • 투고 : 2020.11.10
  • 심사 : 2020.11.17
  • 발행 : 2020.12.31

초록

치수 관련 사업이나 재해대책 수립의 기초 단계인 경제성 평가는 미래에 발생할 가능성이 있는 홍수로 인한 피해액을 예측하는 중요한 과정이지만, 결과를 검증하는데 어려움이 있다. 따라서 정확한 피해액을 예측하기 위해서는 공학적 측면과 경제적 측면을 모두 고려하여야 하므로, 조사·분석의 범위가 매우 넓다. 그러나 미계측유역은 관련 자료의 수집에 제한이 있어 홍수로 인한 경제적 손실규모를 예측하는 데 어려움이 있으며, 관련 연구 또한 미비한 실정이다. 따라서 본 연구에서는 위성자료 기반의 분포형 유출 및 침수해석 모형을 활용하여 미계측유역인 대동강유역 내 평양시에 대한 침수해석을 수행하였으며, 수집 가능한 사회·경제지표와 침수해석 결과를 종합하여 홍수피해액을 추산하는 방법론을 제시하였다. 분포형 유출해석과 침수해석 모형은 한국건설기술연구원에서 개발한 GRM (Grid based Rainfall-runoff Model)과 G2D (Grid based 2-Dimensional land surface flood model)를 활용하였으며, 홍수피해액은 간편법과 개선법의 방법론에 수집 가능한 사회·경제지표를 대입하는 형식으로 추산하였다. 연구 결과 미계측유역의 위성자료와 사회·경제지표를 기존의 방법론에 대입한 홍수피해액 추산이 가능하였으며, 추후 자료 수집 기술의 발달로 사용 가능한 자료의 종류와 범위가 넓어지면 자료의 구득이 어려운 타 지역에도 적용이 가능할 것으로 기대된다.

Economic analysis is a basic step in establishing disaster mitigation measures, but it is difficult to verify the results due to uncertainty. Therefore, the scope of investigation and analysis is wide. However, it is difficult to predict the amount of damage caused by flooding because the collection of relevant data is limited in the ungauged basin. In this study, distributed runoff analysis and flooding analysis were performed, and a method of estimating the amount of flood damage in the ungauged basin was proposed using collectible social and economic indicators and flood analysis results. For distributed runoff analysis and flooding analysis, GRM (Grid based Rainfall-runoff Model) and G2D (Grid based 2-Dimensional land surface flood model) developed by Korea Institute of Civil engineering and Building Technology were used. The method of substituting collectible social and economic indicators into the simple method and improvement method was used to estimate the amount of flood damage. As a result of the study, it was possible to estimate the amount of flood damage using satellite data and social and economic indicators in the ungauged basin.

키워드

참고문헌

  1. Joo, H., Lee, T., Kim, J., Kim, D., and Kim, S. (2018). "Study on optimum priority of flood control projects using the maximized economic curve." Journal of The Korean Society of Hazard Mitigation, KOSHAM, Vol. 18, No. 7, pp. 403-415. https://doi.org/10.9798/kosham.2018.18.7.403
  2. Joung, E.I. (2018). "The analysis on change of property and development in North Korea." The Journal of Northeast Asian Economic Studies, NEAK, Vol. 30, No. 4, pp. 1-30.
  3. Kang, D.H., Lee, S.H., Kim, G.H., and Kim, B.S. (2018). "Estimation of flood damage using building group inventory and multi-dimensional flood damage analysis." Journal of The Korean Society of Hazard Mitigation, KOSHAM, Vol. 18, No. 7, pp. 119-127. https://doi.org/10.9798/kosham.2018.18.7.119
  4. Kim, E.S., Choi, H.I., and Jee, H.K. (2010) "Estimation of the flash flood index by the probable rainfall data for ungauged catchments." Journal of The Korean Society of Hazard Mitigation, KOSHAM, Vol. 10, No. 4, pp. 81-88.
  5. Kim, G.S. (2005). A study on precipitation and runoff analysis of Gangneung area of Korea by the typhoon Lusa in 2002. Masters Thesis, University of Seoul, p. 1.
  6. Kim, J.H., Choi, Y.S., and Kim, K.T. (2015). "Flow estimation using rainfalls derived from multiple satellite images in North Korea." Journal of the Korean Association of Geographic Information Studies, KAGIS, Vol. 18, No. 4, pp. 31-42. https://doi.org/10.11108/kagis.2015.18.4.031
  7. Korea Development Institute (KDI) (2019). A study on the application criteria of multi-dimensional method for the reduction of flood damage. 2019 Policy Research Report, p. 29.
  8. Korean Rural Economic Institute (KREI) (2016). Quarterly agricultural trends in North Korea. Publication No. 02-2016-01, p. 13.
  9. Korean Rural Economic Institute (KREI) (2020). Quarterly agricultural trends in North Korea. Publication No. 02-2020-01, p. 119.
  10. Kwak, C.J., Choi, W.J., and Cho, J.W. (2015). "An assessment of flooding tisk using flash flood index in North Korea-focus on Imjin basin." Journal of Korea Water Resources Association, KWRA, Vol. 48, No. 12, pp. 1037-1049. https://doi.org/10.3741/JKWRA.2015.48.12.1037
  11. Lee, K.H., Choi, S.A., Kim, H.S., and Shim, M.P. (2006). "Application of multi-dimensional flood damage analysis for urban flood damage." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 26, No. 4B, pp. 363-369.
  12. Ministry of Construction & Transportation (MOCT). (2000). Probability rainfall in South Korea.
  13. Park, J., Yoon, Y., and Rhee, K. (2019). "Prevention of flood inundation in ungauged watershed using XP-SWMM." Journal of the Korean Society for Environmental Technology, KOSET, Vol. 20, No. 6, pp. 457-470. https://doi.org/10.26511/jkset.20.6.11
  14. Shin, S.S. (2013). "Economic feasibility study of port disaster prevention facility from climate change storm surge using MD-FDA." Ocean Policy Research, KMI, Vol. 27, No. 2, pp. 133-176.
  15. Son, A., and Kim, J. (2019). "The analysis of flood in an ungauged watershed using remotely sensed and geospatial datasets." Korean Journal of Remote Sensing, KSRS, Vol.35, No.5-2, pp. 797-808. https://doi.org/10.7780/KJRS.2019.35.5.2.4
  16. Tak, Y.D. (2017). "Housing policy and marketization in North Korea." Monthly Housing Finance Report, HF, Vol. 153, pp. 28-43.
  17. Yi, C.H., Choi, S.A., Shim, M.P., and Kim, H.S. (2006). "GIS based distributed flood damage assessment." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 26, No. 3B, pp. 301-310.
  18. Yun, H.C., Min, K.S., and Kim, M.K. (2010). "Construction of multi-purpose hazard information map based on digital image using geospatial information." Journal of the Korean Association of Geographic Information Studies, KAGIS, Vol. 13, No. 3, pp. 91-101. https://doi.org/10.11108/kagis.2010.13.3.091