Study on Risk Assessment and Early Warning of Flood-Affected Areas when a Dam Break Occurs in a Mountain River

被引:19
作者
Fan, Qiang [1 ]
Tian, Zhong [1 ]
Wang, Wei [1 ]
机构
[1] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
flood risk; risk assessment and early warning; quantitative assessment; fuzzy analytic hierarchy process; risk level; ANALYTIC HIERARCHY PROCESS; MANAGEMENT; SIMULATION; EUROPE; MODEL; WATER; POWER; REAL; AHP;
D O I
10.3390/w10101369
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Under the influence of extreme weather conditions or other unfavorable factors, if a dam break occurs in a mountain river, it will cause a great number of casualties and property losses in the affected downstream areas. Usually, early warning of the affected areas downstream of the dam depends mainly on qualitative evaluation and cannot be quantitatively evaluated. Based on the authors' calculation of floods for many years, this study presents a quantitative assessment method for flood risk. The Ertan Hydropower Station in Southwest China and the flood-affected areas were chosen as the object of this study. Based on field surveys, research literature data, and the authors' calculations, the basic data of the Ertan Hydropower Station and the calculation results of the dam break were obtained, and 35 representative flood-affected areas were selected to study risk assessment and early warning. The fuzzy analytic hierarchy process (FAHP) was used to build a mathematical model for quantitative analysis. The population, flood arrival time, flood level, evacuation time, and local GDP (Gross Domestic Product) were selected as five typical evaluation factors. Finally, this study calculated and counted the risk level of 35 representative flood-affected areas, and the study results were applied to Quxue and Guanmaozhou Hydropower Station.
引用
收藏
页数:18
相关论文
共 50 条
[1]   A GIS-supported fuzzy-set approach for flood risk assessment [J].
Abdalla, Rifaat ;
Elawad, Yasir ;
Chen, Zhi ;
Han, Sang Soo ;
Xia, Rui .
CANADIAN WATER RESOURCES JOURNAL, 2014, 39 (01) :3-14
[2]   Improving flood risk analysis for effectively supporting the implementation of flood risk management plans: The case study of "Serio" Valley [J].
Albano, Raffaele ;
Mancusi, Leonardo ;
Abbate, Andrea .
ENVIRONMENTAL SCIENCE & POLICY, 2017, 75 :158-172
[3]   Numerical modelling of solid transport caused by an extreme flood: Case of the Hamiz dam failure (Algeria) [J].
Ali H. ;
Boualem R. ;
Mohamed R. .
Journal of King Saud University - Engineering Sciences, 2017, 29 (03) :221-236
[4]  
[Anonymous], 2018, WATER SUI, DOI DOI 10.3390/w10020235
[5]  
Ao J.-H., 2010, SICHUAN FOR EXPLOR D, V2, P7
[6]   Integration of DEA and AHP with computer simulation for railway system improvement and optimization [J].
Azadeh, A. ;
Ghaderi, S. F. ;
Izadbakhsh, H. .
APPLIED MATHEMATICS AND COMPUTATION, 2008, 195 (02) :775-785
[7]   Disaster management -: Flood risk in central Europe [J].
Becker, A ;
Grünewald, U .
SCIENCE, 2003, 300 (5622) :1099-1099
[8]   Designing a long-term flood risk management plan for the Scheldt estuary using a risk-based approach [J].
Broekx, Steven ;
Smets, Steven ;
Liekens, Inge ;
Bulckaen, Dirk ;
De Nocker, Leo .
NATURAL HAZARDS, 2011, 57 (02) :245-266
[9]   Numerical simulation of dam breaking and the influence of sloshing on the transfer of water between compartments [J].
Celis, M. A. C. ;
Wanderley, J. B. V. ;
Neves, M. A. S. .
OCEAN ENGINEERING, 2017, 146 :125-139
[10]   Lessons from flood early warning systems [J].
Cools, Jan ;
Innocenti, Demetrio ;
O'Brien, Sarah .
ENVIRONMENTAL SCIENCE & POLICY, 2016, 58 :117-122