FORECASTING SHALLOW LANDSLIDES USING PRECIPITATION DATA WITH THE HSB MODEL

The present study addresses a problem of slope stability by using a physically based model with the Hillslope- Storage Boussinesq (HSB) partial differential equation. This is used to evaluate shallow landslides, taking information from geotechnical parameters, slope profile, and rainfall. In this wo...

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Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad Industrial de Santander
Repositorio:
Repositorio UIS
Idioma:
spa
OAI Identifier:
oai:noesis.uis.edu.co:20.500.14071/5373
Acceso en línea:
https://revistas.uis.edu.co/index.php/revistaboletindegeologia/article/view/6384
https://noesis.uis.edu.co/handle/20.500.14071/5373
Palabra clave:
HSB equation
Landslides
Safety factor
Ecuación HSB
Deslizamientos
Factor de seguridad
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openAccess
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Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
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oai_identifier_str oai:noesis.uis.edu.co:20.500.14071/5373
network_acronym_str UISANTADR2
network_name_str Repositorio UIS
repository_id_str
spelling Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)http://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)2017-06-142022-03-14T20:08:33Z2022-03-14T20:08:33Zhttps://revistas.uis.edu.co/index.php/revistaboletindegeologia/article/view/638410.18273/revbol.v39n2-2017003https://noesis.uis.edu.co/handle/20.500.14071/5373The present study addresses a problem of slope stability by using a physically based model with the Hillslope- Storage Boussinesq (HSB) partial differential equation. This is used to evaluate shallow landslides, taking information from geotechnical parameters, slope profile, and rainfall. In this work, the equation was solved using finite difference methods in Python, by applying it to a theoretical area and calculating the safety factor. Five continuous periods of rainfall were considered in such equation. This data was taken from the records of the Automatic Weather Station in Manizales, Colombia. As a result, a monitoring of the stability slope through the safety factor was obtained, which was influenced in periods of 30 minutes, allowing a supervision of the surface soils landslide hazard by rainfall factor.Se aborda un problema de estabilidad de taludes, mediante la utilización de un modelo basado físicamente con la ecuación diferencial parcial HSB (Hillslope-Storage Boussinesq); utilizada para evaluar deslizamientos superficiales, tomando información de: parámetros geotécnicos, perfil de la ladera y precipitación. Esta ecuación, en este trabajo, se resolvió utilizando métodos de diferencias finitas en el ambiente del lenguaje de python. Se aplicó a una zona teórica y se calculó el factor de seguridad, considerando cinco periodos continuos de precipitación; estos datos fueron tomados de los registros de la estación del EMAS de la ciudad de Manizales. Como resultado se tiene un monitoreo a la estabilidad de la ladera a través del factor de seguridad, influenciado en periodos de 30 minutos, permitiendo realizar un monitoreo de la amenaza de deslizamientos de suelos superficiales por el factor de precipitación.application/pdftext/htmlspaUniversidad Industrial de Santanderhttps://revistas.uis.edu.co/index.php/revistaboletindegeologia/article/view/6384/6611https://revistas.uis.edu.co/index.php/revistaboletindegeologia/article/view/6384/6950Boletín de Geología; Vol. 39 Núm. 2 (2017): Boletín de Geología; 49-56Boletín de Geología; Vol. 39 No. 2 (2017): Boletín de Geología; 49-56BOLETÍN DE GEOLOGÍA; v. 39 n. 2 (2017): Boletín de Geología; 49-562145-85530120-0283HSB equationLandslidesSafety factorEcuación HSBDeslizamientosFactor de seguridadFORECASTING SHALLOW LANDSLIDES USING PRECIPITATION DATA WITH THE HSB MODELDATOS DE PRECIPITACIÓN CON EL MODELO HSB PARA PRONÓSTICO DE DESLIZAMIENTO DE SUELOS SUPERFICIALESinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Peña-Rincón, Carlos Arturo20.500.14071/5373oai:noesis.uis.edu.co:20.500.14071/53732022-03-16 12:39:36.242metadata.onlyhttps://noesis.uis.edu.coDSpace at UISnoesis@uis.edu.co
dc.title.en-US.fl_str_mv FORECASTING SHALLOW LANDSLIDES USING PRECIPITATION DATA WITH THE HSB MODEL
dc.title.es-ES.fl_str_mv DATOS DE PRECIPITACIÓN CON EL MODELO HSB PARA PRONÓSTICO DE DESLIZAMIENTO DE SUELOS SUPERFICIALES
title FORECASTING SHALLOW LANDSLIDES USING PRECIPITATION DATA WITH THE HSB MODEL
spellingShingle FORECASTING SHALLOW LANDSLIDES USING PRECIPITATION DATA WITH THE HSB MODEL
HSB equation
Landslides
Safety factor
Ecuación HSB
Deslizamientos
Factor de seguridad
title_short FORECASTING SHALLOW LANDSLIDES USING PRECIPITATION DATA WITH THE HSB MODEL
title_full FORECASTING SHALLOW LANDSLIDES USING PRECIPITATION DATA WITH THE HSB MODEL
title_fullStr FORECASTING SHALLOW LANDSLIDES USING PRECIPITATION DATA WITH THE HSB MODEL
title_full_unstemmed FORECASTING SHALLOW LANDSLIDES USING PRECIPITATION DATA WITH THE HSB MODEL
title_sort FORECASTING SHALLOW LANDSLIDES USING PRECIPITATION DATA WITH THE HSB MODEL
dc.subject.en-US.fl_str_mv HSB equation
Landslides
Safety factor
topic HSB equation
Landslides
Safety factor
Ecuación HSB
Deslizamientos
Factor de seguridad
dc.subject.es-ES.fl_str_mv Ecuación HSB
Deslizamientos
Factor de seguridad
description The present study addresses a problem of slope stability by using a physically based model with the Hillslope- Storage Boussinesq (HSB) partial differential equation. This is used to evaluate shallow landslides, taking information from geotechnical parameters, slope profile, and rainfall. In this work, the equation was solved using finite difference methods in Python, by applying it to a theoretical area and calculating the safety factor. Five continuous periods of rainfall were considered in such equation. This data was taken from the records of the Automatic Weather Station in Manizales, Colombia. As a result, a monitoring of the stability slope through the safety factor was obtained, which was influenced in periods of 30 minutes, allowing a supervision of the surface soils landslide hazard by rainfall factor.
publishDate 2017
dc.date.accessioned.none.fl_str_mv 2022-03-14T20:08:33Z
dc.date.available.none.fl_str_mv 2022-03-14T20:08:33Z
dc.date.none.fl_str_mv 2017-06-14
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.none.fl_str_mv https://revistas.uis.edu.co/index.php/revistaboletindegeologia/article/view/6384
10.18273/revbol.v39n2-2017003
dc.identifier.uri.none.fl_str_mv https://noesis.uis.edu.co/handle/20.500.14071/5373
url https://revistas.uis.edu.co/index.php/revistaboletindegeologia/article/view/6384
https://noesis.uis.edu.co/handle/20.500.14071/5373
identifier_str_mv 10.18273/revbol.v39n2-2017003
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uis.edu.co/index.php/revistaboletindegeologia/article/view/6384/6611
https://revistas.uis.edu.co/index.php/revistaboletindegeologia/article/view/6384/6950
dc.rights.license.none.fl_str_mv Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.rights.coar.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.creativecommons.none.fl_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
rights_invalid_str_mv Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.es-ES.fl_str_mv Universidad Industrial de Santander
dc.source.es-ES.fl_str_mv Boletín de Geología; Vol. 39 Núm. 2 (2017): Boletín de Geología; 49-56
dc.source.en-US.fl_str_mv Boletín de Geología; Vol. 39 No. 2 (2017): Boletín de Geología; 49-56
dc.source.pt-BR.fl_str_mv BOLETÍN DE GEOLOGÍA; v. 39 n. 2 (2017): Boletín de Geología; 49-56
dc.source.none.fl_str_mv 2145-8553
0120-0283
institution Universidad Industrial de Santander
repository.name.fl_str_mv DSpace at UIS
repository.mail.fl_str_mv noesis@uis.edu.co
_version_ 1814095193041797120

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