SHIA_Landslide: developing a physically based model to predict shallow landslides triggered by rainfall in tropical environments

Abstract: Landslides are one of the main causes of human and economic losses worldwide. Therefore, landslide hazard assessment and the capacity to predict these phenomenon has been a topic of great interest within scientific community for implementation of early warning systems. Although, several mo...

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Autores:
Aristizábal Giraldo, Edier Vicente
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2014
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/20811
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/20811
http://bdigital.unal.edu.co/11473/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Landslides
Rainfall
Physical model
Tropical environments
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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oai_identifier_str oai:repositorio.unal.edu.co:unal/20811
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network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv SHIA_Landslide: developing a physically based model to predict shallow landslides triggered by rainfall in tropical environments
title SHIA_Landslide: developing a physically based model to predict shallow landslides triggered by rainfall in tropical environments
spellingShingle SHIA_Landslide: developing a physically based model to predict shallow landslides triggered by rainfall in tropical environments
62 Ingeniería y operaciones afines / Engineering
Landslides
Rainfall
Physical model
Tropical environments
title_short SHIA_Landslide: developing a physically based model to predict shallow landslides triggered by rainfall in tropical environments
title_full SHIA_Landslide: developing a physically based model to predict shallow landslides triggered by rainfall in tropical environments
title_fullStr SHIA_Landslide: developing a physically based model to predict shallow landslides triggered by rainfall in tropical environments
title_full_unstemmed SHIA_Landslide: developing a physically based model to predict shallow landslides triggered by rainfall in tropical environments
title_sort SHIA_Landslide: developing a physically based model to predict shallow landslides triggered by rainfall in tropical environments
dc.creator.fl_str_mv Aristizábal Giraldo, Edier Vicente
dc.contributor.author.spa.fl_str_mv Aristizábal Giraldo, Edier Vicente
dc.contributor.spa.fl_str_mv Vélez Upegui, Jaime Ignacio
Martínez Carvajal, Hernán Eduardo
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Landslides
Rainfall
Physical model
Tropical environments
dc.subject.proposal.spa.fl_str_mv Landslides
Rainfall
Physical model
Tropical environments
description Abstract: Landslides are one of the main causes of human and economic losses worldwide. Therefore, landslide hazard assessment and the capacity to predict these phenomenon has been a topic of great interest within scientific community for implementation of early warning systems. Although, several models has been proposed to forecast shallow landslides triggered by rainfall, no model has yet incorporated geotechnical factors into a complete hydrologic model, one that simulates the storage and movement of rainwater through soil profile, providing multiple components that can be calibrated along with measurements of surface discharge and perched water table fluctuation. The present paper develops a conceptual and physically based model, named SHIA_Landslide, for shallow landslide prediction triggered by rainfall in tropical environments and complex terrains supported by geotechnical and hydrological aspects occurring over a basin wide scale. SHIA_Landslide is an original and significant contribution that offers a new perspective to analyses shallow landslide processes, incorporating a full and comprehensive distributed hydrological tank model that includes water storage in the soil, coupled with a geotechnical and classical analysis of infinite-slope stability under saturated conditions. SHIA_Landslide can be distinguished by: (i) the capacity to capture the surface topography and its effects concerning the overland flow and the concentration cells of subsurface flow; (ii) it uses DTM to establish the relationships among cells, geomorphologic parameters, slope angle, direction, etc., needed for the model; (iii) rainfall dataset can be incorporated with the spatial and temporal resolution preferred and available; (iv) continuous simulation for long periods of rainfall data (years) or event simulations for specific storms; (v) consider the effect of horizontal and vertical flow; (vi) is at a basin scale; (vii) includes a hydrologically complete water process that permits perched water table calibration. All these conditions of SHIA_Landslide make the model as an interesting tool to be implemented in early warning system, combined with realtime rainfall monitoring and dissemination of alerts and communication.
publishDate 2014
dc.date.issued.spa.fl_str_mv 2014
dc.date.accessioned.spa.fl_str_mv 2019-06-25T18:45:39Z
dc.date.available.spa.fl_str_mv 2019-06-25T18:45:39Z
dc.type.spa.fl_str_mv Trabajo de grado - Doctorado
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/doctoralThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
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url https://repositorio.unal.edu.co/handle/unal/20811
http://bdigital.unal.edu.co/11473/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Sede Medellín Facultad de Minas Escuela de Geociencias y Medio Ambiente
Escuela de Geociencias y Medio Ambiente
dc.relation.references.spa.fl_str_mv Aristizábal Giraldo, Edier Vicente (2014) SHIA_Landslide: developing a physically based model to predict shallow landslides triggered by rainfall in tropical environments. Doctorado thesis, Universidad Nacional de Colombia, Medellín.
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
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dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
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dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Vélez Upegui, Jaime IgnacioMartínez Carvajal, Hernán EduardoAristizábal Giraldo, Edier Vicente89e0729c-41a3-4edc-8244-ff10f90488393002019-06-25T18:45:39Z2019-06-25T18:45:39Z2014https://repositorio.unal.edu.co/handle/unal/20811http://bdigital.unal.edu.co/11473/Abstract: Landslides are one of the main causes of human and economic losses worldwide. Therefore, landslide hazard assessment and the capacity to predict these phenomenon has been a topic of great interest within scientific community for implementation of early warning systems. Although, several models has been proposed to forecast shallow landslides triggered by rainfall, no model has yet incorporated geotechnical factors into a complete hydrologic model, one that simulates the storage and movement of rainwater through soil profile, providing multiple components that can be calibrated along with measurements of surface discharge and perched water table fluctuation. The present paper develops a conceptual and physically based model, named SHIA_Landslide, for shallow landslide prediction triggered by rainfall in tropical environments and complex terrains supported by geotechnical and hydrological aspects occurring over a basin wide scale. SHIA_Landslide is an original and significant contribution that offers a new perspective to analyses shallow landslide processes, incorporating a full and comprehensive distributed hydrological tank model that includes water storage in the soil, coupled with a geotechnical and classical analysis of infinite-slope stability under saturated conditions. SHIA_Landslide can be distinguished by: (i) the capacity to capture the surface topography and its effects concerning the overland flow and the concentration cells of subsurface flow; (ii) it uses DTM to establish the relationships among cells, geomorphologic parameters, slope angle, direction, etc., needed for the model; (iii) rainfall dataset can be incorporated with the spatial and temporal resolution preferred and available; (iv) continuous simulation for long periods of rainfall data (years) or event simulations for specific storms; (v) consider the effect of horizontal and vertical flow; (vi) is at a basin scale; (vii) includes a hydrologically complete water process that permits perched water table calibration. All these conditions of SHIA_Landslide make the model as an interesting tool to be implemented in early warning system, combined with realtime rainfall monitoring and dissemination of alerts and communication.Doctoradoapplication/pdfspaUniversidad Nacional de Colombia Sede Medellín Facultad de Minas Escuela de Geociencias y Medio AmbienteEscuela de Geociencias y Medio AmbienteAristizábal Giraldo, Edier Vicente (2014) SHIA_Landslide: developing a physically based model to predict shallow landslides triggered by rainfall in tropical environments. Doctorado thesis, Universidad Nacional de Colombia, Medellín.62 Ingeniería y operaciones afines / EngineeringLandslidesRainfallPhysical modelTropical environmentsSHIA_Landslide: developing a physically based model to predict shallow landslides triggered by rainfall in tropical environmentsTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttp://purl.org/redcol/resource_type/TDORIGINAL71765068.2013_1.pdfTesis de Doctorado en Ingeniería - Recursos Hidráulicosapplication/pdf2467377https://repositorio.unal.edu.co/bitstream/unal/20811/1/71765068.2013_1.pdf67e3352bfb4dd8487179380e6baca8c5MD5171765068.2013_ 2.pdfapplication/pdf4403747https://repositorio.unal.edu.co/bitstream/unal/20811/2/71765068.2013_%202.pdfc166e76c0174f6da884c26898e1b4d64MD52THUMBNAIL71765068.2013_1.pdf.jpg71765068.2013_1.pdf.jpgGenerated Thumbnailimage/jpeg5815https://repositorio.unal.edu.co/bitstream/unal/20811/3/71765068.2013_1.pdf.jpg058744274a7ce34ff397b1c4381ae55fMD5371765068.2013_ 2.pdf.jpg71765068.2013_ 2.pdf.jpgGenerated Thumbnailimage/jpeg6333https://repositorio.unal.edu.co/bitstream/unal/20811/4/71765068.2013_%202.pdf.jpga33bb90226779647cab1cc981aefe185MD54unal/20811oai:repositorio.unal.edu.co:unal/208112023-06-05 08:40:30.985Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co