Cargando…

A methodological approach of QRA for slow-moving landslides at a regional scale

Landslides represent a serious worldwide hazard, especially in Italy, where exposure to hydrogeological risk is very high; for this reason, a landslide quantitative risk assessment (QRA) is crucial for risk management and for planning mitigation measures. In this study, we present and describe a nov...

Descripción completa

Detalles Bibliográficos
Autores principales: Caleca, Francesco, Tofani, Veronica, Segoni, Samuele, Raspini, Federico, Rosi, Ascanio, Natali, Marco, Catani, Filippo, Casagli, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976227/
https://www.ncbi.nlm.nih.gov/pubmed/35399298
http://dx.doi.org/10.1007/s10346-022-01875-x
_version_ 1784680520826748928
author Caleca, Francesco
Tofani, Veronica
Segoni, Samuele
Raspini, Federico
Rosi, Ascanio
Natali, Marco
Catani, Filippo
Casagli, Nicola
author_facet Caleca, Francesco
Tofani, Veronica
Segoni, Samuele
Raspini, Federico
Rosi, Ascanio
Natali, Marco
Catani, Filippo
Casagli, Nicola
author_sort Caleca, Francesco
collection PubMed
description Landslides represent a serious worldwide hazard, especially in Italy, where exposure to hydrogeological risk is very high; for this reason, a landslide quantitative risk assessment (QRA) is crucial for risk management and for planning mitigation measures. In this study, we present and describe a novel methodological approach of QRA for slow-moving landslides, aiming at national replicability. This procedure has been applied at the basin scale in the Arno River basin (9100 km(2), Central Italy), where most landslides are slow-moving. QRA is based on the application of the equation risk = hazard (H) × vulnerability (V) × exposure (E) and on the use of open data with uniform characteristics at the national scale. The study area was divided into a grid with a 1 km(2) cell size, and for each cell, the parameters necessary for the risk assessment were calculated. The obtained results show that the total risk of the study area amounts to approximately 7 billion €. The proposed methodology presents several novelties in the risk assessment for the regional/national scale of the analysis, mainly concerning the identification of the datasets and the development of new methodologies that could be applicable over such large areas. The present work demonstrates the feasibility of the methodology and discusses the obtained results.
format Online
Article
Text
id pubmed-8976227
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-89762272022-04-04 A methodological approach of QRA for slow-moving landslides at a regional scale Caleca, Francesco Tofani, Veronica Segoni, Samuele Raspini, Federico Rosi, Ascanio Natali, Marco Catani, Filippo Casagli, Nicola Landslides Original Paper Landslides represent a serious worldwide hazard, especially in Italy, where exposure to hydrogeological risk is very high; for this reason, a landslide quantitative risk assessment (QRA) is crucial for risk management and for planning mitigation measures. In this study, we present and describe a novel methodological approach of QRA for slow-moving landslides, aiming at national replicability. This procedure has been applied at the basin scale in the Arno River basin (9100 km(2), Central Italy), where most landslides are slow-moving. QRA is based on the application of the equation risk = hazard (H) × vulnerability (V) × exposure (E) and on the use of open data with uniform characteristics at the national scale. The study area was divided into a grid with a 1 km(2) cell size, and for each cell, the parameters necessary for the risk assessment were calculated. The obtained results show that the total risk of the study area amounts to approximately 7 billion €. The proposed methodology presents several novelties in the risk assessment for the regional/national scale of the analysis, mainly concerning the identification of the datasets and the development of new methodologies that could be applicable over such large areas. The present work demonstrates the feasibility of the methodology and discusses the obtained results. Springer Berlin Heidelberg 2022-04-02 2022 /pmc/articles/PMC8976227/ /pubmed/35399298 http://dx.doi.org/10.1007/s10346-022-01875-x Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Caleca, Francesco
Tofani, Veronica
Segoni, Samuele
Raspini, Federico
Rosi, Ascanio
Natali, Marco
Catani, Filippo
Casagli, Nicola
A methodological approach of QRA for slow-moving landslides at a regional scale
title A methodological approach of QRA for slow-moving landslides at a regional scale
title_full A methodological approach of QRA for slow-moving landslides at a regional scale
title_fullStr A methodological approach of QRA for slow-moving landslides at a regional scale
title_full_unstemmed A methodological approach of QRA for slow-moving landslides at a regional scale
title_short A methodological approach of QRA for slow-moving landslides at a regional scale
title_sort methodological approach of qra for slow-moving landslides at a regional scale
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976227/
https://www.ncbi.nlm.nih.gov/pubmed/35399298
http://dx.doi.org/10.1007/s10346-022-01875-x
work_keys_str_mv AT calecafrancesco amethodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT tofaniveronica amethodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT segonisamuele amethodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT raspinifederico amethodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT rosiascanio amethodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT natalimarco amethodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT catanifilippo amethodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT casaglinicola amethodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT calecafrancesco methodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT tofaniveronica methodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT segonisamuele methodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT raspinifederico methodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT rosiascanio methodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT natalimarco methodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT catanifilippo methodologicalapproachofqraforslowmovinglandslidesataregionalscale
AT casaglinicola methodologicalapproachofqraforslowmovinglandslidesataregionalscale