Modeling of Soil Water Distribution in a Small Mid-Latitude Watershed on the British Isle for Short Term Landslide and Flood Risk Assessment

Detalhes bibliográficos
Autor(a) principal: Karam, Hugo Abi
Data de Publicação: 2024
Outros Autores: Blackett, Matthew Alexander, Silva, Raphaella Barros Pereira da, Flores Rojas, Jose Luis, Pereira Filho, Augusto José, Peña, Cesar Arturo Sanchez, Vásquez, Isela Leonor, Siqueira, Brenda Santos, Suazo, Julio Miguel Angeles
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anuário do Instituto de Geociências (Online)
Texto Completo: https://revistas.ufrj.br/index.php/aigeo/article/view/57297
Resumo: The R-TopModel hydrological model coupled with two landslide and flood probability distribution models was applied to simulate the daily hydrological conditions of a small catchment in the Midlands of the British Isles, throughout 2017. Originally, the methodology was applied to a risk area in the tropical region. In this work, the application was extended to mid-latitude watersheds. The hydrographic basin around the Carsington Water dam (located in the Midlands of the Great Britain) is chosen because it presents risks. The model Nash-Sutcliffe Efficiency for the upstream discharge from the Carsington Water dam reached 50% with a correlation coefficient of the order of 70%, an acceptable value considering the seasonal effects of the dam on evapotranspiration and higher soil permeability. Modeling the distribution of soil moisture and excess surface water allowed obtaining the spatial distribution of the maximum conditional probability of landslides and floods in the Carsington Water catchment. These probability maps obtained are consistent with long-term susceptibility maps for Great Britain.
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spelling Modeling of Soil Water Distribution in a Small Mid-Latitude Watershed on the British Isle for Short Term Landslide and Flood Risk AssessmentR-TopModelHydrometeorological hazardsCarsington Water-UKThe R-TopModel hydrological model coupled with two landslide and flood probability distribution models was applied to simulate the daily hydrological conditions of a small catchment in the Midlands of the British Isles, throughout 2017. Originally, the methodology was applied to a risk area in the tropical region. In this work, the application was extended to mid-latitude watersheds. The hydrographic basin around the Carsington Water dam (located in the Midlands of the Great Britain) is chosen because it presents risks. The model Nash-Sutcliffe Efficiency for the upstream discharge from the Carsington Water dam reached 50% with a correlation coefficient of the order of 70%, an acceptable value considering the seasonal effects of the dam on evapotranspiration and higher soil permeability. Modeling the distribution of soil moisture and excess surface water allowed obtaining the spatial distribution of the maximum conditional probability of landslides and floods in the Carsington Water catchment. These probability maps obtained are consistent with long-term susceptibility maps for Great Britain.Universidade Federal do Rio de Janeiro2024-03-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/5729710.11137/1982-3908_2024_47_57297Anuário do Instituto de Geociências; v. 47 (2024): Anuário do Instituto de GeociênciasAnuário do Instituto de Geociências; Vol. 47 (2024): Anuário do Instituto de Geociências1982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJenghttps://revistas.ufrj.br/index.php/aigeo/article/view/57297/40393Copyright (c) 2024 Anuário do Instituto de Geociênciashttps://creativecommons.org/licenses/by/4.0/deed.eninfo:eu-repo/semantics/openAccessKaram, Hugo AbiBlackett, Matthew AlexanderSilva, Raphaella Barros Pereira daFlores Rojas, Jose LuisPereira Filho, Augusto JoséPeña, Cesar Arturo SanchezVásquez, Isela LeonorSiqueira, Brenda SantosSuazo, Julio Miguel Angeles2024-03-28T19:56:16Zoai:ojs.pkp.sfu.ca:article/57297Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2024-03-28T19:56:16Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Modeling of Soil Water Distribution in a Small Mid-Latitude Watershed on the British Isle for Short Term Landslide and Flood Risk Assessment
title Modeling of Soil Water Distribution in a Small Mid-Latitude Watershed on the British Isle for Short Term Landslide and Flood Risk Assessment
spellingShingle Modeling of Soil Water Distribution in a Small Mid-Latitude Watershed on the British Isle for Short Term Landslide and Flood Risk Assessment
Karam, Hugo Abi
R-TopModel
Hydrometeorological hazards
Carsington Water-UK
title_short Modeling of Soil Water Distribution in a Small Mid-Latitude Watershed on the British Isle for Short Term Landslide and Flood Risk Assessment
title_full Modeling of Soil Water Distribution in a Small Mid-Latitude Watershed on the British Isle for Short Term Landslide and Flood Risk Assessment
title_fullStr Modeling of Soil Water Distribution in a Small Mid-Latitude Watershed on the British Isle for Short Term Landslide and Flood Risk Assessment
title_full_unstemmed Modeling of Soil Water Distribution in a Small Mid-Latitude Watershed on the British Isle for Short Term Landslide and Flood Risk Assessment
title_sort Modeling of Soil Water Distribution in a Small Mid-Latitude Watershed on the British Isle for Short Term Landslide and Flood Risk Assessment
author Karam, Hugo Abi
author_facet Karam, Hugo Abi
Blackett, Matthew Alexander
Silva, Raphaella Barros Pereira da
Flores Rojas, Jose Luis
Pereira Filho, Augusto José
Peña, Cesar Arturo Sanchez
Vásquez, Isela Leonor
Siqueira, Brenda Santos
Suazo, Julio Miguel Angeles
author_role author
author2 Blackett, Matthew Alexander
Silva, Raphaella Barros Pereira da
Flores Rojas, Jose Luis
Pereira Filho, Augusto José
Peña, Cesar Arturo Sanchez
Vásquez, Isela Leonor
Siqueira, Brenda Santos
Suazo, Julio Miguel Angeles
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Karam, Hugo Abi
Blackett, Matthew Alexander
Silva, Raphaella Barros Pereira da
Flores Rojas, Jose Luis
Pereira Filho, Augusto José
Peña, Cesar Arturo Sanchez
Vásquez, Isela Leonor
Siqueira, Brenda Santos
Suazo, Julio Miguel Angeles
dc.subject.por.fl_str_mv R-TopModel
Hydrometeorological hazards
Carsington Water-UK
topic R-TopModel
Hydrometeorological hazards
Carsington Water-UK
description The R-TopModel hydrological model coupled with two landslide and flood probability distribution models was applied to simulate the daily hydrological conditions of a small catchment in the Midlands of the British Isles, throughout 2017. Originally, the methodology was applied to a risk area in the tropical region. In this work, the application was extended to mid-latitude watersheds. The hydrographic basin around the Carsington Water dam (located in the Midlands of the Great Britain) is chosen because it presents risks. The model Nash-Sutcliffe Efficiency for the upstream discharge from the Carsington Water dam reached 50% with a correlation coefficient of the order of 70%, an acceptable value considering the seasonal effects of the dam on evapotranspiration and higher soil permeability. Modeling the distribution of soil moisture and excess surface water allowed obtaining the spatial distribution of the maximum conditional probability of landslides and floods in the Carsington Water catchment. These probability maps obtained are consistent with long-term susceptibility maps for Great Britain.
publishDate 2024
dc.date.none.fl_str_mv 2024-03-22
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/57297
10.11137/1982-3908_2024_47_57297
url https://revistas.ufrj.br/index.php/aigeo/article/view/57297
identifier_str_mv 10.11137/1982-3908_2024_47_57297
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/57297/40393
dc.rights.driver.fl_str_mv Copyright (c) 2024 Anuário do Instituto de Geociências
https://creativecommons.org/licenses/by/4.0/deed.en
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Anuário do Instituto de Geociências
https://creativecommons.org/licenses/by/4.0/deed.en
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
dc.source.none.fl_str_mv Anuário do Instituto de Geociências; v. 47 (2024): Anuário do Instituto de Geociências
Anuário do Instituto de Geociências; Vol. 47 (2024): Anuário do Instituto de Geociências
1982-3908
0101-9759
reponame:Anuário do Instituto de Geociências (Online)
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Anuário do Instituto de Geociências (Online)
collection Anuário do Instituto de Geociências (Online)
repository.name.fl_str_mv Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv anuario@igeo.ufrj.br||
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