脆弱性(计算)
危害
脆弱性评估
自然灾害
山崩
地理
人类住区
环境资源管理
自然灾害
风险评估
脆弱性指数
环境规划
地图学
心理弹性
气候变化
生态学
环境科学
计算机科学
计算机安全
工程类
心理学
岩土工程
考古
气象学
心理治疗师
生物
作者
Patricia Arrogante‐Funes,Adrián G. Bruzón,Fátima Arrogante‐Funes,Rocío N. Ramos-Bernal,René Vázquez‐Jiménez
标识
DOI:10.3390/ijerph182211987
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 (México) 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.
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