Shallow landslide cluster propagation in tropical mountainous terrains. Case study Colombian Andes

ilustraciones, diagramas, mapas

Autores:
Palacio Cordoba, Johnnatan Arley
Tipo de recurso:
Fecha de publicación:
2023
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
eng
OAI Identifier:
oai:repositorio.unal.edu.co:unal/85027
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/85027
https://repositorio.unal.edu.co/
Palabra clave:
620 - Ingeniería y operaciones afines::624 - Ingeniería civil
550 - Ciencias de la tierra::551 - Geología, hidrología, meteorología
Landslides
Desprendimientos de tierra
Landslide
Cluster landslides
Shallow landslides
Runout
Propagation
Modeling
Natural hazard
Risk management
Deslizamiento
Propagación
Deslizamientos superficiales
Modelación
Gestión del riesgo
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_2bda506486b4de8eeb6a7d1a3b7e12e7
oai_identifier_str oai:repositorio.unal.edu.co:unal/85027
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.eng.fl_str_mv Shallow landslide cluster propagation in tropical mountainous terrains. Case study Colombian Andes
dc.title.translated.spa.fl_str_mv Propagación de deslizamientos superficiales en terrenos montañosos tropicales. Caso de estudio: Andes colombianos
title Shallow landslide cluster propagation in tropical mountainous terrains. Case study Colombian Andes
spellingShingle Shallow landslide cluster propagation in tropical mountainous terrains. Case study Colombian Andes
620 - Ingeniería y operaciones afines::624 - Ingeniería civil
550 - Ciencias de la tierra::551 - Geología, hidrología, meteorología
Landslides
Desprendimientos de tierra
Landslide
Cluster landslides
Shallow landslides
Runout
Propagation
Modeling
Natural hazard
Risk management
Deslizamiento
Propagación
Deslizamientos superficiales
Modelación
Gestión del riesgo
title_short Shallow landslide cluster propagation in tropical mountainous terrains. Case study Colombian Andes
title_full Shallow landslide cluster propagation in tropical mountainous terrains. Case study Colombian Andes
title_fullStr Shallow landslide cluster propagation in tropical mountainous terrains. Case study Colombian Andes
title_full_unstemmed Shallow landslide cluster propagation in tropical mountainous terrains. Case study Colombian Andes
title_sort Shallow landslide cluster propagation in tropical mountainous terrains. Case study Colombian Andes
dc.creator.fl_str_mv Palacio Cordoba, Johnnatan Arley
dc.contributor.advisor.none.fl_str_mv Aristizábal Giraldo, Edier Vicente
Echeverri Ramírez, Óscar
Mergili, Martin
dc.contributor.author.none.fl_str_mv Palacio Cordoba, Johnnatan Arley
dc.contributor.colaborator.spa.fl_str_mv Echeverri Ramírez, Óscar
Mergili, Martin
Aristizábal Giraldo, Edier Vicente
dc.contributor.researchgroup.spa.fl_str_mv Investigación en Geología Ambiental Gea
dc.contributor.orcid.spa.fl_str_mv Palacio Cordoba, Johnnatan Arley [0000-0002-1603-4614]
Mergili, Martin [0000-0001-5085-4846]
Echeverri Ramírez, Óscar [0000-0002-4665-8786]
Aristizábal Giraldo, Edier Vicente [0000-0002-2648-2197]
dc.contributor.researchgate.spa.fl_str_mv Palacio Cordoba, Johnnatan Arley [Johnnatan-Palacio]
dc.contributor.googlescholar.spa.fl_str_mv Palacio Cordoba, Johnnatan Arley [WSGNHRUAAAAJ&hl]
dc.subject.ddc.spa.fl_str_mv 620 - Ingeniería y operaciones afines::624 - Ingeniería civil
550 - Ciencias de la tierra::551 - Geología, hidrología, meteorología
topic 620 - Ingeniería y operaciones afines::624 - Ingeniería civil
550 - Ciencias de la tierra::551 - Geología, hidrología, meteorología
Landslides
Desprendimientos de tierra
Landslide
Cluster landslides
Shallow landslides
Runout
Propagation
Modeling
Natural hazard
Risk management
Deslizamiento
Propagación
Deslizamientos superficiales
Modelación
Gestión del riesgo
dc.subject.lemb.eng.fl_str_mv Landslides
dc.subject.lemb.spa.fl_str_mv Desprendimientos de tierra
dc.subject.proposal.eng.fl_str_mv Landslide
Cluster landslides
Shallow landslides
Runout
Propagation
Modeling
Natural hazard
Risk management
dc.subject.proposal.spa.fl_str_mv Deslizamiento
Propagación
Deslizamientos superficiales
Modelación
Gestión del riesgo
description ilustraciones, diagramas, mapas
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-11-30T15:28:55Z
dc.date.available.none.fl_str_mv 2023-11-30T15:28:55Z
dc.date.issued.none.fl_str_mv 2023-11
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TM
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/85027
dc.identifier.instname.spa.fl_str_mv Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv https://repositorio.unal.edu.co/
url https://repositorio.unal.edu.co/handle/unal/85027
https://repositorio.unal.edu.co/
identifier_str_mv Universidad Nacional de Colombia
Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.indexed.spa.fl_str_mv RedCol
LaReferencia
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dc.publisher.branch.spa.fl_str_mv Universidad Nacional de Colombia - Sede Medellín
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spelling Atribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Aristizábal Giraldo, Edier Vicentefc0f511b018ee39d8c368b91780e0fa7Echeverri Ramírez, Óscara286e8d4e3890127d0f5ff80c36fa77eMergili, Martin27f6642dd8ff4ee221dc1bdc4d89ca47600Palacio Cordoba, Johnnatan Arley513c24910434c85e67ef97474143f8bcEcheverri Ramírez, ÓscarMergili, MartinAristizábal Giraldo, Edier VicenteInvestigación en Geología Ambiental GeaPalacio Cordoba, Johnnatan Arley [0000-0002-1603-4614]Mergili, Martin [0000-0001-5085-4846]Echeverri Ramírez, Óscar [0000-0002-4665-8786]Aristizábal Giraldo, Edier Vicente [0000-0002-2648-2197]Palacio Cordoba, Johnnatan Arley [Johnnatan-Palacio]Palacio Cordoba, Johnnatan Arley [WSGNHRUAAAAJ&hl]2023-11-30T15:28:55Z2023-11-30T15:28:55Z2023-11https://repositorio.unal.edu.co/handle/unal/85027Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, diagramas, mapasApproximately one-fifth of the Earth’s surface is considered vulnerable to at least one natural hazards such as cyclones, droughts, floods, earthquakes, volcanoes, and landslides. Landslides are one of the most destructive; there are several triggering factors. In the Colombian Andes, rainfall is the primary triggering factor. Historical records of landslide occurrences in the country between 1900 and 2018 found that rainfall was responsible for 87 percent of them. These landslides are typically shallow and can evolve into more rapid movements such as flows or avalanches. According to recent records, debris flows have caused some of the most severe damage and some of them happened as a result of the occurrence of Clustered Shallow Landslides (CSL). In terms of spatial analysis, most study in the country focuses on estimating the areas most susceptible to the occurrence of Shallow Landslides (SL). But what happens when an SL propagates? This research focuses on parameters for modelling the propagation of SL triggered by rainfall occurred on March 31, 2017, in Mocoa that supply mass to bigger chain processes that affect the city and surrounding villages with approximately 306 dead people. The modeling is carried out through two useful tools. The empirical tool Flow-R, it requires little input information, the propagation is performed using different algorithms and friction laws, fundamental factors are the travel distance angle, velocity, and dispersion. And r.avaflow that incorporates various physics-based models. It was established for each tool the best-fit parameters for modeling with minimal requirements. Results indicated a maximum velocity of 10 m s−1, minimum travel distance angle of 15, and x value of 2 and 4 for modeling in Flow-R. In addition, the cut-off for the probability of impact was set to 25% as the minimal threshold for zoning. The results concerning to the parameters to modeling SL in r.avaflow suggest; to consider the basal friction equal to the internal friction of the material as the starting value. And to use the minimum heights in the range of 0.51 m to 0.61 m to perform hazard zoning of the possible affected areas.Aproximadamente una quinta parte de la superficie terrestre se considera vulnerable a al menos una amenaza de origen natural, como: ciclones, sequías, inundaciones, terremotos, volcanes y movimientos en masa. Siendo este último uno de los más destructivos; existen varios factores detonantes. En los Andes colombianos, las lluvias son el principal factor detonante, según registros históricos entre 1900 y 2018 el 87% de los movimientos en masa fueron detonados por lluvias, los cuales suelen ser poco profundos y pueden evolucionar a movimientos más rápidos y destructivos como flujos y avalanchas. Según registros recientes, la ocurrencia de decenas a cientos de movimientos en masa detonados por lluvias, Resultó en la ocurrencia de avenidas torrenciales, causando afectaciones sobre la población y la infraestructura. En términos de análisis espacial, la mayoría de los estudios realizados se centran en estimar las zonas más susceptibles a la ocurrencia de movimientos en masa superficiales. Pero ¿Qué ocurre cuando un movimiento en masa se propaga? Esta investigación se centra en los parámetros para la modelación de la propagación de movimientos en masa superficiales detonados por las lluvias ocurridas el 31 de marzo de 2017, en Mocoa, que fueron suplemento para un evento concatenado de mayor poder destructivo, que afecto la infraestructura y causó la muerte de aproximadamente 306 personas. La modelación se ejecuta mediante la herramienta empírica Flow-R, la cual requiere poca información de entrada, la propagación se realiza utilizando diferentes algoritmos y reglas. Y r.avaflow incorpora varios modelos basados en la física, teniendo como insumo básico la distribución de la fricción interna del material y fricción basal material – superficie. Se estableció para cada herramienta los parámetros de mejor ajuste para el modelado con requisitos mínimos. Los resultados indicaron para Flow-R una velocidad máxima de 10 m/s, un ángulo de distancia de viaje de 15 grados, y un valor para el, exponte de dispersión x de 2 y 4. Además, el umbral mínimo de la probabilidad de impacto se fijó en 25% para la zonificación. Respecto a r.avaflow, los resultados sugieren considerar la fricción basal igual a la fricción interna del material como valor de partida. Y utilizar las alturas mínimas en el rango de 0, 51 m a 0, 61 m para realizar la zonificación de la amenaza de las posibles áreas afectadas. (Texto tomado de la fuente)Brief review of state of propagation models for flow-like landslides and current state in Colombia / This chapter was written with support of Edier Aristizábal, Martin Mergili and, Oscar EcheverríExploring best-fit parameters for propagation modeling of shallow landslides, using Flow-R / This chapter was written with support of Edier Aristizábal, Martin Mergili and, Oscar EcheverríExploration of basal friction parameter in shallow landslide propagation modeling using r.avaflow / This chapter was written with support of Edier Aristizábal, Martin Mergili and, Oscar EcheverríMaestríaMaestría en Ingeniería - GeotecniaLandslide and risk managementÁrea Curricular de Ingeniería Civilx, 77 páginasapplication/pdfengUniversidad Nacional de ColombiaMedellín - Minas - Maestría en Ingeniería - GeotecniaFacultad de MinasMedellín, ColombiaUniversidad Nacional de Colombia - Sede Medellín620 - Ingeniería y operaciones afines::624 - Ingeniería civil550 - Ciencias de la tierra::551 - Geología, hidrología, meteorologíaLandslidesDesprendimientos de tierraLandslideCluster landslidesShallow landslidesRunoutPropagationModelingNatural hazardRisk managementDeslizamientoPropagaciónDeslizamientos superficialesModelaciónGestión del riesgoShallow landslide cluster propagation in tropical mountainous terrains. 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