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

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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.coverage.region.none.fl_str_mv	Andes, Colombia
dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
dc.publisher.program.spa.fl_str_mv	Medellín - Minas - Maestría en Ingeniería - Geotecnia
dc.publisher.faculty.spa.fl_str_mv	Facultad de Minas
dc.publisher.place.spa.fl_str_mv	Medellín, Colombia
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. Case study Colombian AndesPropagación de deslizamientos superficiales en terrenos montañosos tropicales. Caso de estudio: Andes colombianosTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMAndes, ColombiaRedColLaReferencia(2017). INMLCF identifica 191 cuerpos en Mocoa.Anderson, S. A. and Sitar, N. (1995). Analysis of Rainfall-Induced Debris Flows. Journal of Geotechnical Engineering, 121(12):544–552.Aristiz´abal, E. (2013). SHIA – Landslide: Developing a physically based model to predict shallow landslides triggered by rainfall in tropical environments. PhD thesis, Universidad Nacional de Colombia.Aristizábal, E., Carmona, M. I. A., and López, I. K. G. (2020). Definición y clasificación de las avenidas torrenciales y su impacto en los Andes colombianos. Cuadernos de Geografía: Revista Colombiana de Geografía, 29(1):242–258.Aristizábal, E., Martínez, E., and Vélez-Upegui, J. I. (2017). 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Murganggefahr und klimaänderung - ein gis-basierter ansatz.Evaluación de amenaza por movimientos en masa y flujos torrenciales en ambientes tropicales y montañososUniversidad Nacional de Colombia - Sede MedellínEstudiantesInvestigadoresORIGINAL1040040602_2023.pdf1040040602_2023.pdfTesis de Maestría en Ingeniería - Geotecniaapplication/pdf38343193https://repositorio.unal.edu.co/bitstream/unal/85027/5/1040040602_2023.pdf5b4e3bd8c4fd3836139a69ace8a8843cMD55LICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/85027/9/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD59Johnnatan Arley Palacio Cordoba License Capítulo1.pdfJohnnatan Arley Palacio Cordoba License Capítulo1.pdflicencia coautorapplication/pdf395805https://repositorio.unal.edu.co/bitstream/unal/85027/10/Johnnatan%20Arley%20Palacio%20Cordoba%20License%20%20Cap%c3%adtulo1.pdf20908bbad90d0cd97351ec529f8e5dd5MD510Johnnatan Arley Palacio Cordoba License Capítulo2.pdfJohnnatan Arley 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Shallow landslide cluster propagation in tropical mountainous terrains. Case study Colombian Andes

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