Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment

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 land...

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Autores principales:	Patricia Arrogante-Funes, Adrián G. Bruzón, Fátima Arrogante-Funes, Rocío N. Ramos-Bernal, René Vázquez-Jiménez
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	landslide hazard assessment landslide risk vulnerability susceptibility ecological values Medicine R
Acceso en línea:	https://doaj.org/article/dbc171f8ed4a4c809db495d2ebcd6489
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spelling	oai:doaj.org-article:dbc171f8ed4a4c809db495d2ebcd64892021-11-25T17:50:04ZIntegration of Vulnerability and Hazard Factors for Landslide Risk Assessment10.3390/ijerph1822119871660-46011661-7827https://doaj.org/article/dbc171f8ed4a4c809db495d2ebcd64892021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/11987https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Among 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.Patricia Arrogante-FunesAdrián G. BruzónFátima Arrogante-FunesRocío N. Ramos-BernalRené Vázquez-JiménezMDPI AGarticlelandslidehazard assessmentlandslide riskvulnerabilitysusceptibilityecological valuesMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11987, p 11987 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	landslide hazard assessment landslide risk vulnerability susceptibility ecological values Medicine R
spellingShingle	landslide hazard assessment landslide risk vulnerability susceptibility ecological values Medicine R Patricia Arrogante-Funes Adrián G. Bruzón Fátima Arrogante-Funes Rocío N. Ramos-Bernal René Vázquez-Jiménez Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment
description	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.
format	article
author	Patricia Arrogante-Funes Adrián G. Bruzón Fátima Arrogante-Funes Rocío N. Ramos-Bernal René Vázquez-Jiménez
author_facet	Patricia Arrogante-Funes Adrián G. Bruzón Fátima Arrogante-Funes Rocío N. Ramos-Bernal René Vázquez-Jiménez
author_sort	Patricia Arrogante-Funes
title	Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment
title_short	Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment
title_full	Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment
title_fullStr	Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment
title_full_unstemmed	Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment
title_sort	integration of vulnerability and hazard factors for landslide risk assessment
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/dbc171f8ed4a4c809db495d2ebcd6489
work_keys_str_mv	AT patriciaarrogantefunes integrationofvulnerabilityandhazardfactorsforlandslideriskassessment AT adriangbruzon integrationofvulnerabilityandhazardfactorsforlandslideriskassessment AT fatimaarrogantefunes integrationofvulnerabilityandhazardfactorsforlandslideriskassessment AT rocionramosbernal integrationofvulnerabilityandhazardfactorsforlandslideriskassessment AT renevazquezjimenez integrationofvulnerabilityandhazardfactorsforlandslideriskassessment
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Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment

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