Review on Urban Flood Risk Assessment

被引:57
作者
Li, Cailin [1 ]
Sun, Na [1 ]
Lu, Yihui [2 ]
Guo, Baoyun [1 ]
Wang, Yue [1 ]
Sun, Xiaokai [1 ]
Yao, Yukai [1 ]
机构
[1] Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255000, Peoples R China
[2] Shandong Prov Inst Land Surveying & Mapping, Geog Informat Engn, Jinan 250102, Peoples R China
关键词
urban flood; risk assessment; disaster-causing mechanism; review; assessment indicators; flooding forecast; LOW IMPACT DEVELOPMENT; REMOTE-SENSING DATA; CLIMATE-CHANGE; ENSEMBLE PREDICTION; PRECIPITATION FORECASTS; WEATHER RESEARCH; RAINFALL EVENT; WRF MODEL; SIMULATION; CATCHMENT;
D O I
10.3390/su15010765
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 background of rapid urban development and continuous climate change, frequent floods around the world have caused serious economic losses and social problems, which has become the main reason for the sustainable development of cities. Flood disaster risk assessment is an important non-engineering measure in urban disaster prevention and mitigation, and scientific flood disaster risk assessment is the premise and foundation of flood disaster risk management. This paper summarizes the current situation of flood risk assessment by analyzing the international literature in recent 20 years. The mechanism of flood disaster is mainly discussed. The flood disaster assessment methods are summarized, including historical disaster statistics method, multi-criteria index system method, remote sensing and GIS (Geographic Information System) coupling method, scenario simulation evaluation method and machine learning method. Furthermore, the development status of flood risk analysis and forecasting is summarized. Finally, the development trend and direction of flood risk assessment are put forward.
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页数:24
相关论文
共 144 条
[1]   Development and Application of an Atmospheric-Hydrologic-Hydraulic Flood Forecasting Model Driven by TIGGE Ensemble Forecasts [J].
Bao Hongjun ;
Zhao Linna .
ACTA METEOROLOGICA SINICA, 2012, 26 (01) :93-102
[2]   Major flood disasters in Europe: 1950-2005 [J].
Barredo, Jose I. .
NATURAL HAZARDS, 2007, 42 (01) :125-148
[3]   The quiet revolution of numerical weather prediction [J].
Bauer, Peter ;
Thorpe, Alan ;
Brunet, Gilbert .
NATURE, 2015, 525 (7567) :47-55
[4]   Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK [J].
Bell, V. A. ;
Kay, A. L. ;
Jones, R. G. ;
Moore, R. J. ;
Reynard, N. S. .
JOURNAL OF HYDROLOGY, 2009, 377 (3-4) :335-350
[5]   Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study [J].
Bisht, Deepak Singh ;
Chatterjee, Chandranath ;
Kalakoti, Shivani ;
Upadhyay, Pawan ;
Sahoo, Manaswinee ;
Panda, Ambarnil .
NATURAL HAZARDS, 2016, 84 (02) :749-776
[6]   CLIMATE-CHANGE AND SOCIAL VULNERABILITY - TOWARD A SOCIOLOGY AND GEOGRAPHY OF FOOD INSECURITY [J].
BOHLE, HG ;
DOWNING, TE ;
WATTS, MJ .
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 1994, 4 (01) :37-48
[7]   Examining the impact of land use/land cover characteristics on flood losses [J].
Brody, Samuel ;
Blessing, Russell ;
Sebastian, Antonia ;
Bedient, Philip .
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2014, 57 (08) :1252-1265
[8]   Early flood warnings from empirical (expanded) downscaling of the full ECMWF Ensemble Prediction System [J].
Buerger, Gerd ;
Reusser, Dominik ;
Kneis, David .
WATER RESOURCES RESEARCH, 2009, 45
[9]  
Buizza R, 1999, WEATHER FORECAST, V14, P168, DOI 10.1175/1520-0434(1999)014<0168:PPOPUT>2.0.CO
[10]  
2