Flood risk assessment based on hydrodynamic model and fuzzy comprehensive evaluation with GIS technique

被引:78
作者
Cai, Tian [1 ,2 ]
Li, Xinyu [1 ]
Ding, Xiang [3 ]
Wang, Jia [1 ]
Zhan, Jian [1 ]
机构
[1] Nanchang Univ, Sch Civil Engn & Architecture, Nanchang 330031, Jiangxi, Peoples R China
[2] Power China Zhongnan Engn Corp Ltd, Changsha 410014, Hunan, Peoples R China
[3] Changan Univ, Sch Environm Sci & Engn, Xian 710054, Shaanxi, Peoples R China
关键词
Risk assessment; Index system; Digitalwater simulation model; Assessment unit; POI; VULNERABILITY; SWMM; AHP;
D O I
10.1016/j.ijdrr.2019.101077
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Flood is a commonly-seen disaster, which has the potential to cause severe impact on the daily operations of cities and endanger the safety of people. In this study, a multi-index fuzzy comprehensive evaluation model (MFCE model) for flood disaster risk is developed. The MFCE model contains three input indicators: the hazard factor, the exposure factor and the vulnerability factor. In addition, these three indicators contain eight subindicators. Hazard factors are obtained using the DigitalWater Simulation hydrodynamic model (DS Model) developed by Chinese scholars. Then, hazard factors, exposure factors and vulnerability factors are all put into the geographic information system (GIS) to accomplish overlay analysis and fuzzy matrix calculation. The method has been successfully applied to the flood disaster risk assessment in the urban area of Yifeng, Jiangxi Province, China. The assessment results show that compared with the risk assessment of the MFCE model, the risk distribution map of the hazard factor changes greatly when the study area encounters the storm of 50a. The very high risk zones may occur somewhere with serious flooding, high impermeability and high building density.
引用
收藏
页数:12
相关论文
共 63 条
  • [41] Evaluating typical flood risks in Yangtze River Economic Belt: application of a flood risk mapping framework
    Lu, Chengwei
    Zhou, Jianzhong
    He, Zhongzheng
    Yuan, Shuai
    [J]. NATURAL HAZARDS, 2018, 94 (03) : 1187 - 1210
  • [42] Lukas S., 2014, MIND RISK GLOBAL RAN
  • [43] Nott J., 2006, Extreme Event - A Physical Reconstruction and Risk Assessment
  • [44] [Pelling M. UNDP (United Nations Development Programme) Bureau for Crisis Prevention and Recovery UNDP (United Nations Development Programme) Bureau for Crisis Prevention and Recovery], 2004, A Global Report, P1
  • [45] Rosa D. J., 2015, J AM WATER RESOUR AS, V14, P1
  • [46] Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP)
    Sadiq, Rehan
    Tesfamariam, Solomon
    [J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2009, 23 (01) : 75 - 91
  • [47] Flood risk mapping for Pari River incorporating sediment transport
    Sinnakaudan, SK
    Ab Ghani, A
    Ahmad, MSS
    Zakaria, NA
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2003, 18 (02) : 119 - 130
  • [48] Assessing land ecological security in Shanghai (China) based on catastrophe theory
    Su, Shiliang
    Li, Dan
    Yu, Xiang
    Zhang, Zhonghao
    Zhang, Qi
    Xiao, Rui
    Zhi, Junjun
    Wu, Jiaping
    [J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2011, 25 (06) : 737 - 746
  • [49] Sun A. L., 2011, RISK ASSESSMENT RAIN
  • [50] Impact assessment of upstream flooding on extreme flood frequency analysis by incorporating a flood-inundation model for flood risk assessment
    Tanaka, Tomohiro
    Tachikawa, Yasuto
    Ichikawa, Yutaka
    Yorozu, Kazuaki
    [J]. JOURNAL OF HYDROLOGY, 2017, 554 : 370 - 382