A new mountain flood vulnerability index (MFVI) for the assessment of flood vulnerability

被引:7
|
作者
Karmaoui, Ahmed [1 ,2 ]
Zerouali, Siham [3 ]
Ougougdal, Houssam Ayt [4 ]
Shah, Ashfaq Ahmad [5 ]
机构
[1] Moulay Ismail Univ, Fac Sci & Tech Errachidia, Epigenet Hlth & Environm Unit UMI, Bioact Hlth & Environm Lab, Zagora, Morocco
[2] Southern Ctr Culture & Sci SCCS, Zagora, Morocco
[3] Southern Ctr Culture & Sci SCCS, Dept Biol, Bni Zouli, Zagora, Morocco
[4] Cadi Ayyad Univ, Fac Sci Semlalia, Dept Environm Sci, Water Biodivers & Climate Change Lab, Marrakech, Morocco
[5] Nanjing Univ Informat Sci & Technol, Res Ctr Risk Management & Emergency Decis Making, Sch Management Sci & Engn, Nanjing, Peoples R China
关键词
Floods; Socio-economical; Biophysical; Vulnerability; High Atlas; Morocco; ADAPTATION; DISTRICT; RUNOFF; LAND;
D O I
10.1007/s40899-021-00575-z
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The floods are among the most dangerous extreme events. They have affected a large part of the world population. Studies on this topic are needed to understand the phenomenon and prevent the damages. In this context, a new composite indicator was proposed and applied in the Moroccan High Atlas, which is the largest mountain in the Middle East and North African (MENA) countries and one of the most affected. Both the altitude that exceeds 4000 m and the annual rainfall of over 400 mm accelerate the severity of the floods. Climate change and anthropogenic actions have increased the vulnerability to flooding. The variables used in measuring the vulnerability to floods are numerous and interact in a very complex way. Five components (anthropogenic, physical, climatic, lithologic, and land use) and 29 indicators have been selected. The analysis of vulnerability allows identifying the zones and the components with a high degree of vulnerability to floods and proposes the options to reduce it in five selected valleys of the High Atlas; Ourica, De R'dat, Rheraya, Oued N'Fis, and Zat Valleys. The findings suggest that Oued N'Fis may be more vulnerable in terms of climatic indicators while Ourica valley may be vulnerable in terms of the physical, anthropogenic, and lithologic components. However, R'dat valley showed a high vulnerability score regarding the land-use indicators. The total score of flood vulnerability indicates that Ourica is the most vulnerable followed, respectively, by R'dat and Oued N'Fis.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Continental Portuguese Territory Flood Susceptibility Index - contribution to a vulnerability index
    Jacinto, R.
    Grosso, N.
    Reis, E.
    Dias, L.
    Santos, F. D.
    Garrett, P.
    [J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2015, 15 (08) : 1907 - 1919
  • [32] A simplified approach for flood vulnerability assessment of historic sites
    Fabiana Navia Miranda
    Tiago Miguel Ferreira
    [J]. Natural Hazards, 2019, 96 : 713 - 730
  • [33] Variable sets method for urban flood vulnerability assessment
    Chen ShouYu
    Xue ZhiChun
    Li Min
    Zhu XuePing
    [J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2013, 56 (12) : 3129 - 3136
  • [34] A simplified approach for flood vulnerability assessment of historic sites
    Miranda, Fabiana Navia
    Ferreira, Tiago Miguel
    [J]. NATURAL HAZARDS, 2019, 96 (02) : 713 - 730
  • [35] Variable sets method for urban flood vulnerability assessment
    CHEN ShouYu
    XUE ZhiChun
    LI Min
    ZHU XuePing
    [J]. Science China(Technological Sciences), 2013, 56 (12) : 3129 - 3136
  • [36] Assessment of the vulnerability of industrial parks to flood in South Korea
    JiEun Ryu
    Dong Kun Lee
    Chan Park
    Yoonjung Ahn
    Seehyung Lee
    Kwanglim Choi
    TaeYong Jung
    [J]. Natural Hazards, 2016, 82 : 811 - 825
  • [37] A novel framework for the spatiotemporal assessment of urban flood vulnerability
    Tang, Xianzhe
    Huang, Xi
    Tian, Juwei
    Pan, Senyuan
    Ding, Xue
    Zhou, Qiaowei
    Sun, Chuanzhun
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2024, 109
  • [38] Variable sets method for urban flood vulnerability assessment
    CHEN ShouYu
    XUE ZhiChun
    LI Min
    ZHU XuePing
    [J]. Science China Technological Sciences, 2013, (12) : 3129 - 3136
  • [39] The impact of data spatial resolution on flood vulnerability assessment
    Morrison, D.
    Beevers, L.
    Wright, G.
    Stewart, M. D.
    [J]. ENVIRONMENTAL HAZARDS-HUMAN AND POLICY DIMENSIONS, 2022, 21 (01): : 77 - 98
  • [40] Assessment of pluvial flood exposure and vulnerability of residential areas
    Grahn, Tonje
    Nyberg, Lars
    [J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2017, 21 : 367 - 375