Modeling of Soil Water Distribution in a Small Mid-Latitude Watershed on the British Isle for Short Term Landslide and Flood Risk Assessment
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , , , , , |
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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Anuário do Instituto de Geociências (Online) |
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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|| |
_version_ |
1797053535778504704 |