Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment

被引:22
|
作者
Arrogante-Funes, Patricia [1 ]
Bruzon, Adrian G. [1 ]
Arrogante-Funes, Fatima [2 ]
Ramos-Bernal, Rocio N. [3 ]
Vazquez-Jimenez, Rene [3 ,4 ]
机构
[1] Rey Juan Carlos Univ, ESCET, Dept Chem & Environm Technol, C Tulipan S-N, Madrid 28933, Spain
[2] Univ Alcala, Fac Filosofia & Letras, Dept Geografia Geol & Medio Ambiente, Area Geog,GITA, C Colegios 2, Madrid 28801, Spain
[3] Univ Autonoma Guerrero, Cuerpo Acad UAGro CA 93 Riesgos Nat & Geotecnol, Av Lazaro Cardenas S-N, Chilpancingo 39070, Mexico
[4] Rey Juan Carlos Univ, ESCET, Dept Chem & Environm Technol, Res Grp Technol Landscape Anal & Diag TADAT, C Tulipan S-N, Madrid 28933, Spain
关键词
landslide; hazard assessment; landslide risk; vulnerability; susceptibility; ecological values; BIODIVERSITY; INDICATOR; FRAMEWORK; ROADS; NEPAL; AREA; GIS;
D O I
10.3390/ijerph182211987
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Among the numerous natural hazards, landslides are one of the greatest, as they can cause enormous loss of life and property, and affect the natural ecosystem and their services. Landslides are disasters that cause damage to anthropic activities and innumerable loss of human life, globally. The landslide risk assessed by the integration of susceptibility and vulnerability maps has recently become a manner of studying sites prone to landslide events and managing these regions well. Developing countries, where the impact of landslides is frequent, need risk assessment tools that enable them to address these disasters, starting with their prevention, with free spatial data and appropriate models. Our study shows a heuristic risk model by integrating a susceptibility map made by AutoML and a vulnerability one that is made considering ecological vulnerability and socio-economic vulnerability. The input data used in the State of Guerrero (Mexico) approach uses spatial data, such as remote sensing, or official Mexican databases. This aspect makes this work adaptable to other parts of the world because the cost is low, and the frequency adaptation is high. Our results show a great difference between the distribution of vulnerability and susceptibility zones in the study area, and even between the socio-economic and ecological vulnerabilities. For instance, the highest ecological vulnerability is in the mountainous zone in Guerrero, and the highest socio-economic vulnerability values are found around settlements and roads. Therefore, the final risk assessment map is an integrated index that considers susceptibility and vulnerability and would be a good first attempt to challenge landslide disasters.
引用
收藏
页数:21
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