Life Loss Estimation Based on Dam-Break Flood Uncertainties and Lack of Information in Mountainous Regions of Western China

Abstract

Compared with urban floods, dam-break floods are associated with greater uncertainties, including variable dam-break modes and hydrological characteristics, so conventional flood estimation methods cannot be directly applied in the estimation of dam-break flood loss. In particular, there is scant information regarding the conditions of affected area and hydrological characteristics in southwest China. In this paper, we introduce an integrated model for estimating flood loss that is adapted to the mountainous regions of southwestern China in light of the relative lack of available information. This model has three major components: a basic information model, a dam-routed flood propagation simulation model, and a loss estimation model. We established the basic information model despite the relative lack of available information using 3S technology [remote sensing (RS); geographical information system (GIS); global positioning system (GPS)], data mining technology, and statistical analysis techniques. Our dam-routed flood propagation simulation model consists of major hydrologic processes and their governing equations for flow propagation, which we solve using finite-difference schemes. In this model, the flood propagation area is divided into grids and each grid is determined by the characteristic parameters obtained from the propagation simulation. We present a case study of the Lianghekou hydropower station in Sichuan Province, China to illustrate the practical application of this integrated model for life loss estimation.

Keywords

Life loss estimation model / Lack of information / Dam-break flood / Basic information model

References

[1] Jongman B, Kreibich H, Apel H, et al. Comparative flood damage model assessment: towards a European approach. Nat Hazards Earth System Sci, 2012, 12(12): 3733-3752.

[2] Dutta D, Herath S, Musiake K. A mathematical model for flood loss estimation. J Hydrol, 2003, 277(1–2): 24-49.

[3] Plate EJ. Flood risk and flood management. J Hydrol, 2002, 267(1): 2-11.

[4] Zhang SR, Tan YS. Risk assessment of earth dam overtopping and its application research. Nat Hazards, 2014, 74(2): 717-736.

[5] He XY, Wang ZY, Huang JC. Analysis on the spatial distribution of dam-failure in China. J Catastrophol, 2008, 2: 1-6 (in Chinese)

[6] Mo CX, Liu FG, Yu M, et al. Risk analysis for earth dam overtopping. Water Sci Eng, 2008, 1(2): 76-87.

[7] Zhang SR, Sun B, Lei Y, et al. Risk identification on hydropower project using the IAHP and extension of TOPSIS methods under interval-valued fuzzy environment. Nat Hazards, 2013, 65(1): 359-373.

[8] Kuo JT, Yen BC, Hsu YC, et al. Risk analysis for dam overtopping—Feitsui reservoir as a case study. J Hydraul Eng, 2007, 133(8): 955-963.

[9] Dutta D, Herath S, Musiake K. An application of a flood risk analysis system for impact analysis of a flood control plan in a river basin. Hydrol Process, 2006, 20(6): 1365-1384.

[10] Smith DI. Flood damage estimation- A review of urban stage-damage curves and loss functions. Water S A, 1994, 20(3): 231-238.

[11] Handmer J, Thompson P. Economic assessment of disaster mitigation in resource and environmental studies, 1996, Australia: Australian National University.

[12] Merz B, Kreibich H, Schwarze R, et al. Assessment of economic flood damage. Nat Hazards Earth Syst Sci, 2010, 10(8): 1697-1724.

[13] Scawthorn C, Blais N, Seligson H, et al. HAZUS-MH flood loss estimation methodology. I. Overview and flood hazard characterization. Nat Hazards Rev, 2006, 7(2): 60-71.

[14] Scawthorn C, Flores P, Blais N, et al. HAZUS-MH flood loss estimation methodology. II. Damage and loss assessment. Nat Hazards Rev, 2006, 7(2): 72-81.

[15] Meyer V, Messner F, Penningrowsell EC, et al. Evaluating flood damages: guidance and recommendations on principles and methods. Helmholz Unweltforschungszentrum, 2007, 17(5): 551-553.

[16] Nicholas J, Holt GD, Proverbs D. Towards standardising the assessment of flood damaged properties in the UK. Struct Survey, 2001, 19(4): 163-172.

[17] Kreibich H, Thieken AH. Assessment of damage caused by high groundwater inundation. Water Resour Res, 2008, 44(9): 542-547.

[18] Zhu Y, Liao H, Wu Z. Review on oversea earth-dambreak modeling. J Yangtze River Sci Res Inst, 2003, 20(2): 26-29 (in Chinese)

[19] Wang LH, Hu SY. Study on dam failure-related problems. Adv Sci Technol Water Res, 2007, 27(1): 80-85 (in Chinese)

[20] Li Y, Li J. Review of experimental study on dam-break. Adv Water Sci, 2009, 20(2): 304-310 (in Chinese)

[21] Xia JQ, Wang GQ, Lin BL, et al. Two-dimensional modelling of dam-break floods over actual terrain with complex geometries using a finite volume method. Adv Water Sci, 2010, 21(3): 289-298 (in Chinese)

[22] Dutta D, Herath S, Musiake K. Flood inundation simulation in a river basin using a physically based distributed hydrologic model. Hydrol Process, 2000, 14(3): 497-519.

[23] Wu JS, Bao K, Zhang H (2011) Research progress on dam-break floods. In: 2nd IEEE International Conference on Emergency Management and Management Sciences. Beijing, China, pp 334–338

[24] Brown M, Harris CJ. A perspective and critique of adaptive neurofuzzy systems used for modelling and control applications. Int J Neural Syst, 1995, 6(2): 197-220.