Validation of landslide susceptibility using a GIS-based statistical model and Remote Sensing Data in the Amzaz watershed in northern Morocco
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/125349 |
Resumo: | The main objective of this research is to examine and validate the landslide susceptibility assessment (LSA)results of the spatial probability of landslide occurrence in the Amzaz watershed area in Northern Morocco,setting out to create a helpful agent for the decision-makers of land-use policies. In order to reach the maingoal of this study, two sub-objectives were defined: the presenting of the physiography and the cartographyof the geographical components of the study area, and the analysis of the LSA using a statistical-basedmethod, Information Value Method (IVM), as a criteria required by the Model. Lastly, the validation of theresults through the prediction and success rates was carried out. Landslide susceptibility is the probabilitythat landslides will be generated in the predicted zone depending on local terrain characteristics.Several methods are proposed for landslide susceptibility assessment worldwide. IVM has been applied toprepare the landslide susceptibility map. This paper envisages the definition of the settings of the study areaas well as the geophysical characteristics by means of the acquisition and preparation of predisposing factors,such as the geology, land use and climate and the application of the IVM on LSA using a statistically basedmethod for each subset of the landslide inventory.This study is aimed at a prediction vision for sustainability as an alternative and this is not limited todegradation processes. It also concerns the efforts made to adapt to the impacts and even those of mitigatingchange. The promotion of sustainable development in risk areas requires an effort to analyze and evaluatelocal practices and approaches. This is what we are trying to do through this work, which starts from amethodological basis to validate a model for predicting landslides affecting the Moroccan Central Rif area. |
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Validation of landslide susceptibility using a GIS-based statistical model and Remote Sensing Data in the Amzaz watershed in northern MoroccoThe main objective of this research is to examine and validate the landslide susceptibility assessment (LSA)results of the spatial probability of landslide occurrence in the Amzaz watershed area in Northern Morocco,setting out to create a helpful agent for the decision-makers of land-use policies. In order to reach the maingoal of this study, two sub-objectives were defined: the presenting of the physiography and the cartographyof the geographical components of the study area, and the analysis of the LSA using a statistical-basedmethod, Information Value Method (IVM), as a criteria required by the Model. Lastly, the validation of theresults through the prediction and success rates was carried out. Landslide susceptibility is the probabilitythat landslides will be generated in the predicted zone depending on local terrain characteristics.Several methods are proposed for landslide susceptibility assessment worldwide. IVM has been applied toprepare the landslide susceptibility map. This paper envisages the definition of the settings of the study areaas well as the geophysical characteristics by means of the acquisition and preparation of predisposing factors,such as the geology, land use and climate and the application of the IVM on LSA using a statistically basedmethod for each subset of the landslide inventory.This study is aimed at a prediction vision for sustainability as an alternative and this is not limited todegradation processes. It also concerns the efforts made to adapt to the impacts and even those of mitigatingchange. The promotion of sustainable development in risk areas requires an effort to analyze and evaluatelocal practices and approaches. This is what we are trying to do through this work, which starts from amethodological basis to validate a model for predicting landslides affecting the Moroccan Central Rif area.2019-122019-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/125349eng10.4458/2801-02El-fengour, AbdelhakBateira, CarlosEl Motaki, HanifaLaatiris, Mohammedinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:38:53Zoai:repositorio-aberto.up.pt:10216/125349Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:05:57.167986Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Validation of landslide susceptibility using a GIS-based statistical model and Remote Sensing Data in the Amzaz watershed in northern Morocco |
title |
Validation of landslide susceptibility using a GIS-based statistical model and Remote Sensing Data in the Amzaz watershed in northern Morocco |
spellingShingle |
Validation of landslide susceptibility using a GIS-based statistical model and Remote Sensing Data in the Amzaz watershed in northern Morocco El-fengour, Abdelhak |
title_short |
Validation of landslide susceptibility using a GIS-based statistical model and Remote Sensing Data in the Amzaz watershed in northern Morocco |
title_full |
Validation of landslide susceptibility using a GIS-based statistical model and Remote Sensing Data in the Amzaz watershed in northern Morocco |
title_fullStr |
Validation of landslide susceptibility using a GIS-based statistical model and Remote Sensing Data in the Amzaz watershed in northern Morocco |
title_full_unstemmed |
Validation of landslide susceptibility using a GIS-based statistical model and Remote Sensing Data in the Amzaz watershed in northern Morocco |
title_sort |
Validation of landslide susceptibility using a GIS-based statistical model and Remote Sensing Data in the Amzaz watershed in northern Morocco |
author |
El-fengour, Abdelhak |
author_facet |
El-fengour, Abdelhak Bateira, Carlos El Motaki, Hanifa Laatiris, Mohammed |
author_role |
author |
author2 |
Bateira, Carlos El Motaki, Hanifa Laatiris, Mohammed |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
El-fengour, Abdelhak Bateira, Carlos El Motaki, Hanifa Laatiris, Mohammed |
description |
The main objective of this research is to examine and validate the landslide susceptibility assessment (LSA)results of the spatial probability of landslide occurrence in the Amzaz watershed area in Northern Morocco,setting out to create a helpful agent for the decision-makers of land-use policies. In order to reach the maingoal of this study, two sub-objectives were defined: the presenting of the physiography and the cartographyof the geographical components of the study area, and the analysis of the LSA using a statistical-basedmethod, Information Value Method (IVM), as a criteria required by the Model. Lastly, the validation of theresults through the prediction and success rates was carried out. Landslide susceptibility is the probabilitythat landslides will be generated in the predicted zone depending on local terrain characteristics.Several methods are proposed for landslide susceptibility assessment worldwide. IVM has been applied toprepare the landslide susceptibility map. This paper envisages the definition of the settings of the study areaas well as the geophysical characteristics by means of the acquisition and preparation of predisposing factors,such as the geology, land use and climate and the application of the IVM on LSA using a statistically basedmethod for each subset of the landslide inventory.This study is aimed at a prediction vision for sustainability as an alternative and this is not limited todegradation processes. It also concerns the efforts made to adapt to the impacts and even those of mitigatingchange. The promotion of sustainable development in risk areas requires an effort to analyze and evaluatelocal practices and approaches. This is what we are trying to do through this work, which starts from amethodological basis to validate a model for predicting landslides affecting the Moroccan Central Rif area. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12 2019-12-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/125349 |
url |
https://hdl.handle.net/10216/125349 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.4458/2801-02 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799135983385444353 |