Journal of Korea Water Resources Association (한국수자원학회논문집)

Korea Water Resources Association (한국수자원학회)
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Prediction of Loss of Life in Downstream due to Dam Break Flood

댐 붕괴 홍수로 인한 하류부 인명피해 예측

  • 이재영 ((주)신한 P&D 기술연구소) ;
  • 이종석 (전북대학교 대학원 토목공학과) ;
  • 김기영 (한국수자원공사 K-water 연구원 기반시설연구소)
  • Received : 2014.07.03
  • Accepted : 2014.09.22
  • Published : 2014.10.31
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Abstract

In this study, to estimate loss of life considered flood characteristics using the relationship derived from analysis of historical dam break cases and the factors determining loss of life, the loss of life module applying in LIFESim and loss of life estimation by means of a mortality function were suggested and applicability for domestic dam watershed was examined. The flood characteristics, such as water depth, flow velocity and arrival time were simulated by FLDWAV model and flood risk area were predicted by using inundation depth. Based on this, the effects of warning, evacuation and shelter were considered to estimate the number of people exposed to the flood. In order to estimate fatality rates based on the exposed population, flood hazard zone is assigned to three different zones. Then, total fatality numbers were predicted after determining lethality or mortality function for each zone. In the future, the prediction of loss of life due to dam break floods will quantitatively evaluate flood risk and employ to establish flood mitigation measures at downstream applying probabilistic flood scenarios.

본 연구에서는 기왕의 댐 붕괴사례와 인명손실 결정인자들의 분석으로부터 유도된 상관관계를 이용하여 댐 붕괴 홍수파의 특성이 고려된 인명피해 예측을 위해 미국의 LIFESim 모형에 적용된 인명손실 모듈과 유럽연합에서 제시한 사망률 함수에 의한 인명손실 추정기법이 제시되었다. 극한 홍수조건(PMF)하에서 댐 붕괴로 인한 대상 지점의 수심, 유속 및 홍수도 달시간 등과 같은 홍수특성치는 1차원 수리학적 모형인 FLDWAV에 의해 모의되었으며 범람수심을 이용하여 홍수취약 지역을 예측하였다. 이를 바탕으로 경보, 대피 및 피난처에 대한 가능성을 고려함으로써 홍수위험에 노출된 인구수를 추정하였다. 이러한 홍수위험 노출인구에 대한 사망률(치사율)을 추정하기 위해 홍수위험지역을 상이한 지대로 세분하여 지대별 치사율 또는 사망률 함수를 결정하였으며 이로부터 최종적인 사망자수를 예측하였다. 본 연구를 통해 제시된 댐 붕괴홍수의 인명피해 예측기법은 향후 확률론적 홍수 시나리오에 적용하여 하류부의 홍수위험도를 정량적으로 평가하고 저감대책을 수립하는데 활용될 수 있다.

Keywords

References

  1. Aboelata, M.A., and Bowles, D.S. (2005). LIFESim: A Model for Estimating Dam Failure Life Loss. Institute for Dam Safety Risk Management. Utah State University, Logan, Utah.
  2. Aboelata, M.A., Bowles, D.S., and McClelland, D. (2003). A model for estimating dam failure life loss. Launceston, Tasmania, Australia.
  3. Bern, C., Sniesek, J., Mathbor, G.M., Siddiqi, M.S., Ronsmans, C., Chowdhury, A.M.R., Choudhury, A.E., Islam, K., Bennish, M., Noji, E., and Glass, R.I. (1993). "Risk factors for mortality in the Bangladesh cyclone of 1991." Bull WHO Vol. 71, pp. 73-78.
  4. Brown, C.A., and Graham, W.J. (1988). "Assessing the threat to life from dam failure." Water Resour Bull, Vol. 24, No. 6, pp. 1303-1309. https://doi.org/10.1111/j.1752-1688.1988.tb03051.x
  5. Clausen, L.K. (1989). Potential dam failure: estimation of consequences, and implications for planning. Unpublished M. Phil. thesis at the School of Geography and Planning at Middlesex Polytechnic collaborating with Binnie and Partners, Redhill.
  6. DeKay, M.L., and McClelland, G.H. (1993). "Predicting loss of life in cases of dam failure and flash flood." Risk Anal, Vol. 13, No. 2, pp. 193-205. https://doi.org/10.1111/j.1539-6924.1993.tb01069.x
  7. Duclos, P., Binder, S., and Riester, R. (1989). "Community evacuation following the Spencer Metal Processing Plant fire." Nanticoke, Pennsylvania. Journal of Hazardous Materials, Vol. 22, pp. 1-11. https://doi.org/10.1016/0304-3894(89)85026-5
  8. Fread, D.L., and Lewis, J.M. (1998). NWS FLDWAV Model. NWS Report, Hydrological Research Laboratory, NWS Office of Hydrology, NWA, Silver Spring, MD.
  9. Hong, H.R., Kim, D.E., Seo, D.G., Hwang, H.B., and Kwon, Y.J. (2010). A Study on the Horizontality Walking Speed of Community for Safe Evacuation of the Aged. Proceedings of 2010 Spring Annual Conference, Korean Institute of Fire Science & Engineering, pp. 311-316.
  10. Jonkman, S.N. (2007). Loss of life estimation in flood risk assessment-theory and applications. Ph.D. thesis, Delft University.
  11. Kok, M., Huizinga, H.J., Vrouwenvelder, A.C.W.M., and van den Braak, W.E.W. (2005). Standaardmethode 2005 schade en slachtoffers als gevolg van overstromingen. HKV report PR999.10.
  12. Lee, C.S., Lee, H.G., Jang, S.P., and Kim, J.B. (2010). "Levee Overflow Risk based Flood Damage Analysis using Bayesian MCMC." Korea Water Resources Association, Vol. 43, No. 10, pp. 55-61.
  13. Lee, J.S., and Noh, J.W. (2003). "The Impact of Uncertainty in the Predicted Dam Breach Floods on Economic Damage Estimation." KSCE Journal of Civil Engineering, Vol. 7, No. 3, pp. 343-350. https://doi.org/10.1007/BF02831783
  14. Lee, K.H., Choi, S.A, Kim, H.S., and Shim, M.P. (2006). "Application of Multi-Dimensional Flood Damage Analysis." KSCE Journal of Civil Engineering, Vol. 26, No. 4B, pp. 363-369.
  15. McClelland, D.M., and Bowles, D.S. (1999). Life-loss estimation: what can we learn from case histories. In: Proceedings of the Australian committee on large dams (ANCOLD) annual meeting. Jindabyne, November 1999.
  16. McClelland, D.M., and Bowles, D.S. (2002). Estimating life loss for dam safety risk assessment-A reviewand new approach. IWR report 02-R-3.
  17. Ministry of Construction and Transportation (2002). The basic plan of stream-improvement for Bukhan River watershed.
  18. Ministry of Construction and Transportation (2004). A study on methodology of economic analysis for the flood control project.
  19. National Emergency Management Agency (2010). Natural disaster prone areas administrative guideline.
  20. Park, J.Y., Joh, H.G., Jung, I.K., Jung, K.S., Lee, J.H., Kang, B.S., Yoon, C.J., and Kim, S.J. (2010). "Modeling Downstream Flood Damage Prediction Followed by Dam-Break of Small Agricultural Reservoir." Journal of the Korean Society of Agricultural Engineers, Vol. 52, No. 6, pp. 63-73, November. https://doi.org/10.5389/KSAE.2010.52.6.063
  21. Park, S.J., Han, K.Y., and Choi, H.G. (2013). "Flood Routing of Sequential Failure of Dams by Numerical Model." Journal of the Korean Society of Civil Engineers, Vol. 33, No. 5, pp. 1797-1807. https://doi.org/10.12652/Ksce.2013.33.5.1797
  22. Ramsbottom, D., Floyd, P., and Penning-Rowsell, E. (2003). Flood risks to people-phase 1. R&D Technical report FD2317TR.
  23. Statistics Korea (2010). 2010 Population and Housing Census.
  24. Tsuchiya, Y., and Yasuda, T. (1980). "High tide and life risk, refuge warning in relation to the Ise Bay Typhoon." J Nat Disaster Sci Vol. 2, No. 2, pp. 27-60.
  25. USACE (2007). Risk Assessment for Dam Safety. Dam Failure Analysis Toolbox, September.
  26. USACE (2012). HEC-FIA, Flood Impact Analysis User's Manual-Version 2.2. US Army Corps of Engineers, Hydrologic Engineering Center.
  27. Waarts, P. (1992). Methode voor de bepaling van het aantal doden als gevolg van inundatie. Report TNO B-91-1099.

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