Methodology for Landslide Susceptibility Assessment Along Linear Projects

Landslides are characterized by their capacity to generate losses. In Colombia, a considerable percentage of those are associated with linear projects; between 2010-2011, 575 municipalities were affected by damage to the infrastructure of water supply network and sanitation. Considering this serious...

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Autores:
Mendoza Ramírez, Juliana
Aristizábal Giraldo, Edier Vicente
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/13185
Acceso en línea:
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4668
http://hdl.handle.net/10784/13185
Palabra clave:
Linear projects
SHALSTAB
Conditional analysis
Heuristic
TOBIA index
Susceptibility
Hazard
Proyectos lineales
SHALSTAB
Análisis condicional
Heurístico
Indice de TOBIA
Susceptibilidad
Amenaza
Rights
License
Copyright (c) 2017 Juliana Mendoza Ramirez, Edier Vicente Aristizábal Giraldo
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dc.title.eng.fl_str_mv Methodology for Landslide Susceptibility Assessment Along Linear Projects
dc.title.spa.fl_str_mv Metodología para la zonificación de la susceptibilidad por movimientos en masa en proyectos lineales
title Methodology for Landslide Susceptibility Assessment Along Linear Projects
spellingShingle Methodology for Landslide Susceptibility Assessment Along Linear Projects
Linear projects
SHALSTAB
Conditional analysis
Heuristic
TOBIA index
Susceptibility
Hazard
Proyectos lineales
SHALSTAB
Análisis condicional
Heurístico
Indice de TOBIA
Susceptibilidad
Amenaza
title_short Methodology for Landslide Susceptibility Assessment Along Linear Projects
title_full Methodology for Landslide Susceptibility Assessment Along Linear Projects
title_fullStr Methodology for Landslide Susceptibility Assessment Along Linear Projects
title_full_unstemmed Methodology for Landslide Susceptibility Assessment Along Linear Projects
title_sort Methodology for Landslide Susceptibility Assessment Along Linear Projects
dc.creator.fl_str_mv Mendoza Ramírez, Juliana
Aristizábal Giraldo, Edier Vicente
dc.contributor.author.none.fl_str_mv Mendoza Ramírez, Juliana
Aristizábal Giraldo, Edier Vicente
dc.contributor.affiliation.spa.fl_str_mv Universidad EAFIT
Universidad Nacional de Colombia
dc.subject.keyword.eng.fl_str_mv Linear projects
SHALSTAB
Conditional analysis
Heuristic
TOBIA index
Susceptibility
Hazard
topic Linear projects
SHALSTAB
Conditional analysis
Heuristic
TOBIA index
Susceptibility
Hazard
Proyectos lineales
SHALSTAB
Análisis condicional
Heurístico
Indice de TOBIA
Susceptibilidad
Amenaza
dc.subject.keyword.spa.fl_str_mv Proyectos lineales
SHALSTAB
Análisis condicional
Heurístico
Indice de TOBIA
Susceptibilidad
Amenaza
description Landslides are characterized by their capacity to generate losses. In Colombia, a considerable percentage of those are associated with linear projects; between 2010-2011, 575 municipalities were affected by damage to the infrastructure of water supply network and sanitation. Considering this serious problem related to linear projects, the present work proposes the combination of heuristic, statistical and physical based methods to evaluate the susceptibility and hazard of landslides, under different scales of analysis. In addition to the construction of a critical unit map, using as the unit of analysis the Independent Morphodynamic Unit. The obtained model is validated using the success curves and the Area Under the Curve (AUC). The proposed methodology was implemented in the pipeline of the municipal aqueduct of the municipality of Fredonia in the Antioquia region. It was identified 6% of areas, both unstable and very high and high susceptibility; and 13% of areas corresponding to both cataclinal over dip and pure dip slope, as well as areas of very high and high susceptibility. The AUC for the conditional analysis and the criticality map showed a value of 0.81 and 0.73 indicating a very good fit and performance of the models.
publishDate 2017
dc.date.issued.none.fl_str_mv 2017-11-08
dc.date.available.none.fl_str_mv 2018-11-16T16:28:58Z
dc.date.accessioned.none.fl_str_mv 2018-11-16T16:28:58Z
dc.date.none.fl_str_mv 2017-11-08
dc.type.eng.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
article
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dc.type.local.spa.fl_str_mv Artículo
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dc.identifier.issn.none.fl_str_mv 2256-4314
1794-9165
dc.identifier.uri.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4668
http://hdl.handle.net/10784/13185
dc.identifier.doi.none.fl_str_mv 10.17230/ingciencia.13.26.7
identifier_str_mv 2256-4314
1794-9165
10.17230/ingciencia.13.26.7
url http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4668
http://hdl.handle.net/10784/13185
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dc.relation.isversionof.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4668
dc.rights.eng.fl_str_mv Copyright (c) 2017 Juliana Mendoza Ramirez, Edier Vicente Aristizábal Giraldo
Attribution 4.0 International (CC BY 4.0)
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by/4.0
dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv Copyright (c) 2017 Juliana Mendoza Ramirez, Edier Vicente Aristizábal Giraldo
Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/4.0
Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.source.none.fl_str_mv instname:Universidad EAFIT
reponame:Repositorio Institucional Universidad EAFIT
dc.source.eng.fl_str_mv Ingeniería y Ciencia; Vol 13 No 26 (2017); 173-206
dc.source.spa.fl_str_mv Ingeniería y Ciencia; Vol 13 No 26 (2017); 173-206
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spelling 2017-11-082018-11-16T16:28:58Z2017-11-082018-11-16T16:28:58Z2256-43141794-9165http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4668http://hdl.handle.net/10784/1318510.17230/ingciencia.13.26.7Landslides are characterized by their capacity to generate losses. In Colombia, a considerable percentage of those are associated with linear projects; between 2010-2011, 575 municipalities were affected by damage to the infrastructure of water supply network and sanitation. Considering this serious problem related to linear projects, the present work proposes the combination of heuristic, statistical and physical based methods to evaluate the susceptibility and hazard of landslides, under different scales of analysis. In addition to the construction of a critical unit map, using as the unit of analysis the Independent Morphodynamic Unit. The obtained model is validated using the success curves and the Area Under the Curve (AUC). The proposed methodology was implemented in the pipeline of the municipal aqueduct of the municipality of Fredonia in the Antioquia region. It was identified 6% of areas, both unstable and very high and high susceptibility; and 13% of areas corresponding to both cataclinal over dip and pure dip slope, as well as areas of very high and high susceptibility. The AUC for the conditional analysis and the criticality map showed a value of 0.81 and 0.73 indicating a very good fit and performance of the models.Los movimientos en masa se caracterizan por su capacidad de generar pérdidas. En Colombia, un considerable porcentaje de pérdidas está asociado a proyectos lineales; tan solo entre los años 2010-2011, 575 municipios fueron afectados por daños en la infraestructura de agua potable y saneamiento. Considerando la grave problemática de los proyectos lineales, el presente trabajo propone la combinación de métodos heurísticos, estadísticos y con base física para evaluar la susceptibilidad y amenaza por movimientos en masa, bajo diferentes escalas de análisis. Además de la construcción del mapa de unidades de criticidad, utilizando como unidad de análisis la Unidad Morfodinámica Independiente. El modelo obtenido es validado utilizando las curvas de éxito y el área bajo la curva (AUC, por su sigla en inglés). La metodología propuesta se implementó en el trayecto de la tubería del acueducto municipal del municipio de Fredonia en el departamento de Antioquia. Se identificó un 6% de zonas tanto inestables como de muy alta y alta susceptibilidad; y un 13% de zonas correspondientes tanto a cataclinales de menor buzamiento a la ladera y de igual buzamiento a la pendiente, como zonas de muy alta y alta susceptibilidad. El AUC para el análisis condicional y el mapa de criticidad arrojó un valor de 0.81 y 0.73 señalando un muy buen ajuste y desempeño de los modelos.application/pdfspaUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4668Copyright (c) 2017 Juliana Mendoza Ramirez, Edier Vicente Aristizábal GiraldoAttribution 4.0 International (CC BY 4.0)http://creativecommons.org/licenses/by/4.0Acceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITIngeniería y Ciencia; Vol 13 No 26 (2017); 173-206Ingeniería y Ciencia; Vol 13 No 26 (2017); 173-206Methodology for Landslide Susceptibility Assessment Along Linear ProjectsMetodología para la zonificación de la susceptibilidad por movimientos en masa en proyectos linealesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionarticlepublishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Linear projectsSHALSTABConditional analysisHeuristicTOBIA indexSusceptibilityHazardProyectos linealesSHALSTABAnálisis condicionalHeurísticoIndice de TOBIASusceptibilidadAmenazaMendoza Ramírez, JulianaAristizábal Giraldo, Edier VicenteUniversidad EAFITUniversidad Nacional de ColombiaIngeniería y Ciencia1326173206ing.ciencORIGINAL7.pdf7.pdfTexto completo PDFapplication/pdf5059023https://repository.eafit.edu.co/bitstreams/d59a2038-9856-498a-97ad-1e3014b494aa/download290774740b528aede01889749a358af4MD52articulo.htmlarticulo.htmlTexto completo HTMLtext/html374https://repository.eafit.edu.co/bitstreams/038c2b14-69e3-4b03-a144-6a8e5bd0ed5b/downloade215a44be600775e43b3f5641169b2c0MD53THUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/fa645764-10eb-43a6-b0bc-2248033f46e7/downloadda9b21a5c7e00c7f1127cef8e97035e0MD5110784/13185oai:repository.eafit.edu.co:10784/131852020-03-01 17:34:09.229http://creativecommons.org/licenses/by/4.0Copyright (c) 2017 Juliana Mendoza Ramirez, Edier Vicente Aristizábal Giraldoopen.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co