FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides

Shallow slope failures triggered by rainfall commonly pose considerable risks in mountainous areas. In order to delineate areas where landslides are more prone to occur within a region, we have designed and developed a Python QGIS plugin named Fast Shallow Landslide Assessment Model (FSLAM). The plu...

ver descrição completa

Detalhes bibliográficos
Autores: Guo, Zizheng, Torra, Ona, Hürlimann, Marcel, Abancó i Martínez de Arenzana, Clàudia, Medina, Vicente
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2022
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/183482
Acesso em linha:https://hdl.handle.net/2445/183482
Access Level:acceso abierto
Palavra-chave:Esllavissades
Inundacions
Pirineus
Landslides
Floods
Pyrenees
id ES_0fc7208cdce472c4e31c781ce9a01112
oai_identifier_str oai:recercat.cat:2445/183482
network_acronym_str ES
network_name_str España
repository_id_str
spelling FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslidesGuo, ZizhengTorra, OnaHürlimann, MarcelAbancó i Martínez de Arenzana, ClàudiaMedina, VicenteEsllavissadesInundacionsPirineusLandslidesFloodsPyreneesShallow slope failures triggered by rainfall commonly pose considerable risks in mountainous areas. In order to delineate areas where landslides are more prone to occur within a region, we have designed and developed a Python QGIS plugin named Fast Shallow Landslide Assessment Model (FSLAM). The plugin integrates a simplified hydrological model and a geotechnical model based on the infinite slope theory and contains two principal modules: runoff and slope stability modelling. It can output up to 15 raster maps describing the hydrological and stability conditions in a short computational time. Firstly, we explain the design of graphical user interface and the elements of the plugin. Then, the Berguedà area in NE Spain is used as case study to present the procedure of the plugin application. The results show that the accuracy of landslide susceptibility assessment performed by FSLAM-plugin is high and the computing time is only a few minutes.Elsevier B.V.2022202420222022info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersion42 p.application/pdfapplication/pdfhttps://hdl.handle.net/2445/183482Articles publicats en revistes (Mineralogia, Petrologia i Geologia Aplicada)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésVersió postprint del document publicat a: https://doi.org/10.1016/j.envsoft.2022.105354Environmental Modelling & Software, 2022, vol. 150, num. 105354https://doi.org/10.1016/j.envsoft.2022.105354cc-by-nc-nd (c) Elsevier B.V., 2022https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1834822026-05-29T05:05:01Z
dc.title.none.fl_str_mv FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides
title FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides
spellingShingle FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides
Guo, Zizheng
Esllavissades
Inundacions
Pirineus
Landslides
Floods
Pyrenees
title_short FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides
title_full FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides
title_fullStr FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides
title_full_unstemmed FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides
title_sort FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides
dc.creator.none.fl_str_mv Guo, Zizheng
Torra, Ona
Hürlimann, Marcel
Abancó i Martínez de Arenzana, Clàudia
Medina, Vicente
author Guo, Zizheng
author_facet Guo, Zizheng
Torra, Ona
Hürlimann, Marcel
Abancó i Martínez de Arenzana, Clàudia
Medina, Vicente
author_role author
author2 Torra, Ona
Hürlimann, Marcel
Abancó i Martínez de Arenzana, Clàudia
Medina, Vicente
author2_role author
author
author
author
dc.subject.none.fl_str_mv Esllavissades
Inundacions
Pirineus
Landslides
Floods
Pyrenees
topic Esllavissades
Inundacions
Pirineus
Landslides
Floods
Pyrenees
description Shallow slope failures triggered by rainfall commonly pose considerable risks in mountainous areas. In order to delineate areas where landslides are more prone to occur within a region, we have designed and developed a Python QGIS plugin named Fast Shallow Landslide Assessment Model (FSLAM). The plugin integrates a simplified hydrological model and a geotechnical model based on the infinite slope theory and contains two principal modules: runoff and slope stability modelling. It can output up to 15 raster maps describing the hydrological and stability conditions in a short computational time. Firstly, we explain the design of graphical user interface and the elements of the plugin. Then, the Berguedà area in NE Spain is used as case study to present the procedure of the plugin application. The results show that the accuracy of landslide susceptibility assessment performed by FSLAM-plugin is high and the computing time is only a few minutes.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/183482
url https://hdl.handle.net/2445/183482
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1016/j.envsoft.2022.105354
Environmental Modelling & Software, 2022, vol. 150, num. 105354
https://doi.org/10.1016/j.envsoft.2022.105354
dc.rights.none.fl_str_mv cc-by-nc-nd (c) Elsevier B.V., 2022
https://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by-nc-nd (c) Elsevier B.V., 2022
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 42 p.
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Articles publicats en revistes (Mineralogia, Petrologia i Geologia Aplicada)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869403473095688192
score 15,812429

Registos relacionados