Regional vulnerability assessment for debris flows in China-a CWS approach

被引:38
|
作者
Ding, Mingtao [1 ]
Heiser, Micha [2 ]
Huebl, Johannes [2 ]
Fuchs, Sven [2 ]
机构
[1] Southwest Univ Sci & Technol, Sch Environm & Resources, Mianyang 621010, Peoples R China
[2] Univ Nat Resources & Life Sci, Inst Mt Risk Engn, A-1190 Vienna, Austria
基金
中国国家自然科学基金;
关键词
Contributing Weight Superposition; Debris flow; Vulnerability; Min River; China; SOCIAL VULNERABILITY; RISK-ASSESSMENT; LANDSLIDE SUSCEPTIBILITY; CLIMATE-CHANGE; MIN RIVER; HAZARDS; DISASTERS; RESILIENCE; EARTHQUAKE; MODEL;
D O I
10.1007/s10346-015-0578-1
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Based on former conceptual models of vulnerability, this paper aims to improve the quantitative model for regional vulnerability assessment by analyzing in-depth the relation between vulnerability, exposure, coping capacity, and resilience. Taking the mountain settlements in the upper reaches of Min River, China, as a case study, the method of Contributing Weight Superposition (CWS) is applied in establishing both a model and a system for the vulnerability assessment of elements at risk. The CWS approach consists of 13 index factors including population, economic and road densities, building and farmland coverage, hazard-affected areas, urbanization rate, and GDP per capita. Accordingly, a debris flow hazard vulnerability zoning map was obtained and the assessment results show that the distribution of high and comparatively high vulnerability zones, where economic activities are considerably high, has a close correlation to the topography of the catchment and population characteristics. The results thus may serve as a pertinent guidance for settlement relocation, population distribution readjustment, and management to prevent and reduce hazards in the upper reaches of Min River and beyond.
引用
收藏
页码:537 / 550
页数:14
相关论文
共 50 条
  • [31] Assessment of Regional Vulnerability to Natural Hazards in China Using a DEA Model
    Huang, Jianyi
    Liu, Yi
    Ma, Li
    INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE, 2011, 2 (02) : 41 - 48
  • [32] Assessment of regional vulnerability to natural hazards in China using a DEA model
    Jianyi Huang
    Yi Liu
    Li Ma
    International Journal of Disaster Risk Science, 2011, 2 : 41 - 48
  • [33] Child Poverty in China-A Multidimensional Deprivation Approach
    Qi, Di
    Wu, Yichao
    CHILD INDICATORS RESEARCH, 2014, 7 (01) : 89 - 118
  • [34] Vulnerability of California roadways to post-wildfire debris flows
    Li, Rui
    Chester, Mikhail, V
    ENVIRONMENTAL RESEARCH: INFRASTRUCTURE AND SUSTAINABILITY, 2023, 3 (01):
  • [35] Building vulnerability related to floods and debris flows -: Case studies
    Kraus, D.
    Huebl, J.
    Rickenmann, D.
    RISK21- COPING WITH RISKS DUE TO NATURAL HAZARDS IN THE 21ST CENTURY, 2006, : 181 - +
  • [36] Physical vulnerability models for assessing building damage by debris flows
    Zhang, Shuai
    Zhang, Limin
    Li, Xueyou
    Xu, Qiang
    ENGINEERING GEOLOGY, 2018, 247 : 145 - 158
  • [37] A regional assessment of destructive debris flows along New Central Cross-Highway in Taiwan
    Pan, KL
    Chen, CH
    Fu, CH
    EIGHTH INTERNATIONAL CONGRESS INTERNATIONAL ASSOCIATION FOR ENGINEERING GEOLOGY AND THE ENVIRONMENT, PROCEEDINGS, VOLS 1-5, 1998, : 2039 - 2044
  • [38] Investigation and assessment of landslides and debris flows in Sichuan province of China by remote sensing technique
    Baolei Zhang
    Shumin Zhang
    Wancun Zhou
    Chinese Geographical Science, 2006, 16 : 223 - 228
  • [39] Investigation and Assessment of Landslides and Debris Flows in Sichuan Province of China by Remote Sensing Technique
    Zhang Baolei
    Zhang Shumin
    Zhou Wancun
    CHINESE GEOGRAPHICAL SCIENCE, 2006, 16 (03) : 223 - 228
  • [40] Investigation and Assessment of Landslides and Debris Flows in Sichuan Province of China by Remote Sensing Technique
    ZHANG Baolei1
    2. Graduate University of Chinese Academy of Sciences
    3. Institute of Geographical Sciences and Natural Resources Research
    4. Shandong Economic University
    Chinese Geographical Science, 2006, (03) : 223 - 228