Evaluación de la distancia de viaje de movimientos en masa en Colombia a partir de registros históricos
ilustraciones, gráficas, mapas
- Autores:
-
Moncayo Legarda, Carlos Steven
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/80825
- Palabra clave:
- 620 - Ingeniería y operaciones afines::624 - Ingeniería civil
Rock mechanics
Mecánica de rocas
Deslizamientos
Distancia de viaje
Estudios de amenaza
Modelos empíricos
Movilidad
Empirical models
Hazard assessment
Mobility
Landslides
Travel distance
Deslizamiento de tierra
Alud
Landslides
Avalanches
- Rights
- openAccess
- License
- Atribución-SinDerivadas 4.0 Internacional
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| dc.title.spa.fl_str_mv |
Evaluación de la distancia de viaje de movimientos en masa en Colombia a partir de registros históricos |
| dc.title.translated.eng.fl_str_mv |
Evaluation of the travel distance of mass movements in Colombia based on historical records |
| title |
Evaluación de la distancia de viaje de movimientos en masa en Colombia a partir de registros históricos |
| spellingShingle |
Evaluación de la distancia de viaje de movimientos en masa en Colombia a partir de registros históricos 620 - Ingeniería y operaciones afines::624 - Ingeniería civil Rock mechanics Mecánica de rocas Deslizamientos Distancia de viaje Estudios de amenaza Modelos empíricos Movilidad Empirical models Hazard assessment Mobility Landslides Travel distance Deslizamiento de tierra Alud Landslides Avalanches |
| title_short |
Evaluación de la distancia de viaje de movimientos en masa en Colombia a partir de registros históricos |
| title_full |
Evaluación de la distancia de viaje de movimientos en masa en Colombia a partir de registros históricos |
| title_fullStr |
Evaluación de la distancia de viaje de movimientos en masa en Colombia a partir de registros históricos |
| title_full_unstemmed |
Evaluación de la distancia de viaje de movimientos en masa en Colombia a partir de registros históricos |
| title_sort |
Evaluación de la distancia de viaje de movimientos en masa en Colombia a partir de registros históricos |
| dc.creator.fl_str_mv |
Moncayo Legarda, Carlos Steven |
| dc.contributor.advisor.spa.fl_str_mv |
Ávila Álvarez, Guillermo Eduardo |
| dc.contributor.author.spa.fl_str_mv |
Moncayo Legarda, Carlos Steven |
| dc.subject.ddc.spa.fl_str_mv |
620 - Ingeniería y operaciones afines::624 - Ingeniería civil |
| topic |
620 - Ingeniería y operaciones afines::624 - Ingeniería civil Rock mechanics Mecánica de rocas Deslizamientos Distancia de viaje Estudios de amenaza Modelos empíricos Movilidad Empirical models Hazard assessment Mobility Landslides Travel distance Deslizamiento de tierra Alud Landslides Avalanches |
| dc.subject.lemb.eng.fl_str_mv |
Rock mechanics |
| dc.subject.lemb.spa.fl_str_mv |
Mecánica de rocas |
| dc.subject.proposal.spa.fl_str_mv |
Deslizamientos Distancia de viaje Estudios de amenaza Modelos empíricos Movilidad |
| dc.subject.proposal.eng.fl_str_mv |
Empirical models Hazard assessment Mobility Landslides Travel distance |
| dc.subject.unesco.spa.fl_str_mv |
Deslizamiento de tierra Alud |
| dc.subject.unesco.eng.fl_str_mv |
Landslides Avalanches |
| description |
ilustraciones, gráficas, mapas |
| publishDate |
2021 |
| dc.date.issued.none.fl_str_mv |
2021 |
| dc.date.accessioned.none.fl_str_mv |
2022-02-01T13:43:49Z |
| dc.date.available.none.fl_str_mv |
2022-02-01T13:43:49Z |
| dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
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info:eu-repo/semantics/acceptedVersion |
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Text |
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http://purl.org/redcol/resource_type/TM |
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acceptedVersion |
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https://repositorio.unal.edu.co/handle/unal/80825 |
| 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/80825 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 |
spa |
| language |
spa |
| dc.relation.references.spa.fl_str_mv |
Amat, J. (2016a, June). Correlación lineal y regresión lineal simple. https://www.cienciadedatos.net/documentos/24_correlacion_y_regresion_lineal Amat, J. (2016b, July). Introducción a la regresión lineal múltiple. https://www.cienciadedatos.net/documentos/25_regresion_lineal_multiple.html#Varia bles_nominalescateg%C3%B3ricas_como_predictores Amat, J. (2017, July). Árboles de decisión, random forest, gradient boosting y C5.0. https://www.cienciadedatos.net/documentos/33_arboles_decision_random_forest_gr adient_boosting_c50#Idea_intuitiva Ávila, G. E., Cubillos, C. E., Granados, A. E., Medina, E., Rodríguez, E. A., Rodríguez, C. E., & Ruiz, G. L. (2015). Guía metodológica para estudios de amenaza, vulnerabilidad y riesgo por movimientos en masa (Imprenta Nacional de Colombia, Ed.). Servicio Geológico Colombiano Ávila, G., & Rojas, J. (2019). Historical review of catastrophic events caused by landslides and debris flows in Colombia from 1987 to 2017. In K. Sassa & K. Dang (Eds.), 2019 IPL Symposium on Landslides. The International Consortium on Landslides Baratoux, D., Mangold, N., Delacourt, C., & Allemand, P. (2002). Evidence of liquid water in recent debris avalanche on Mars. Geophysical Research Letters, 29(7), 60-1-60– 64. https://doi.org/10.1029/2001GL014155 Basharat, M., Kashif, M., & Sarfraz, Y. (2018). Effects of volume and topographic parameters on rockfall travel distance: A case study from NW Himalayas, Pakistan. Quarterly Journal of Engineering Geology and Hydrogeology, 51(3), 387–398. https://doi.org/10.1144/qjegh2017-027 Basharat, M., & Rohn, J. (2015). Effects of volume on travel distance of mass movements triggered by the 2005 Kashmir earthquake, in the Northeast Himalayas of Pakistan. Natural Hazards, 77(1), 273–292. https://doi.org/10.1007/s11069-015-1590-4 Berti, M., & Simoni, A. (2007). Prediction of debris flow inundation areas using empirical mobility relationships. Geomorphology, 90, 144–161. https://doi.org/10.1016/j.geomorph.2007.01.014 Berti, M., & Simoni, A. (2014). DFLOWZ: A free program to evaluate the area potentially inundated by a debris flow. Computers and Geosciences, 67, 14–23. https://doi.org/10.1016/j.cageo.2014.02.002 Budetta, P., & de Riso, R. (2004). The mobility of some debris flows in pyroclastic deposits of the northwestern Campanian region (southern Italy). Bulletin of Engineering Geology and the Environment, 63(4), 293–302. https://doi.org/10.1007/s10064-004- 0244-7 Calvachi, A. F. (2019). Estimación de la Probabilidad de Ocurrencia de Movimientos en Masa en Colombia a Partir de Relaciones Magnitud-Frecuencia [Tesis de Maestría, Universidad Nacional de Colombia]. Repositorio Institucional – Universidad Nacional de Colombia Campos, A., Holm-Nielsen, N., Díaz, C., Rubiano, D. M., Costa, C. R., Ramírez, F., & Dickson, E. (2012). Análisis de la gestión del riesgo de desastres en Colombia; un aporte para la construcción de políticas públicas (Primera Edición) Capra, L., Macías, J. L., Scott, K. M., Abrams, M., & Garduño-Monroy, V. H. (2002). Debris avalanches and debris flows transformed from collapses in the Trans-Mexican Volcanic Belt, Mexico-behavior, and implications for hazard assessment. Journal of Volcanology and Geothermal Research, 113, 81–110 Chen, C. W., Chen, H., Wei, L. W., Lin, G. W., Iida, T., & Yamada, R. (2017). Evaluating the susceptibility of landslide landforms in Japan using slope stability analysis: a case study of the 2016 Kumamoto earthquake. Landslides, 14(5), 1793–1801. https://doi.org/10.1007/s10346-017-0872-1 Chen, H. X., Zhang, L., Gao, L., Zhu, H., & Zhang, S. (2015). Presenting regional shallow landslide movement on three-dimensional digital terrain. Engineering Geology, 195, 122–134. https://doi.org/10.1016/j.enggeo.2015.05.027 CNAIGRD. (2021). Investigaciones en gestión del riesgo de desastres para Colombia: Avances, perspectivas y casos de estudio (CNAIGRD, Ed.). UNGRD Corominas, J. (1996). The angle of reach as a mobility index for small and larger landslides. Canadian Geotechnical Journal, 33, 260–271. https://doi.org/10.1139/t96-005 Corominas, J., Einstein, H., Davis, T., Strom, A., Zuccaro, G., Nadim, F., & Verdel, T. (2015). Glossary of terms on landslide hazard and risk. In G. Lollino (Ed.), Engineering Geology for Society and Territory - Volume 2: Landslide Processes (pp. 1775–1779). Springer International Publishing. https://doi.org/10.1007/978-3-319-09057-3_314 Corominas, J., van Westen, C., Frattini, P., Cascini, L., Malet, J. P., Fotopoulou, S., Catani, F., van den Eeckhaut, M., Mavrouli, O., Agliardi, F., Pitilakis, K., Winter, M. G., Pastor, M., Ferlisi, S., Tofani, V., Hervás, J., & Smith, J. T. (2014). Recommendations for the quantitative analysis of landslide risk. Bulletin of Engineering Geology and the Environment, 73(2), 209–263. https://doi.org/10.1007/s10064-013-0538-8 Crosta, G. B., Cucchiaro, S., & Frattini, P. (2003). Validation of semi-empirical relationships for the definition of debris-flow behaviour in granular materials. In D. Rickenmann & C. Chen (Eds.), Fourth International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment (pp. 821–832) Crosta, G. B., Frattini, P., Valbuzzi, E., & de Blasio, F. v. (2018). Introducing a New Inventory of Large Martian Landslides. Earth and Space Science, 5(4), 89–119. https://doi.org/10.1002/2017EA000324 Cruden, D. M., & Varnes, D. J. (1996). Landslide types and processes. In A. K. Turner & R. L. Schuster (Eds.), Landslides—Investigation and mitigation: Transportation Research Board, Special report no. 247 (pp. 36–75) Dade, W., & Huppert, H. (1998). Long-runout rockfalls. Geology, 26(9), 803–806 Dahl, M.-P. J., Mortensen, L. E., Veihe, A., & Jensen, N. H. (2010). A simple qualitative approach for mapping regional landslide susceptibility in the Faroe Islands. Natural Hazards and Earth System Sciences, 10, 159–170. www.nat-hazards-earth-systsci.net/10/159/2010/ Dai, F. C., & Lee, C. F. (2002). Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology, 42, 213–228. www.elsevier.com/locate/geomorph Dai, F. C., Lee, C. F., & Ngai, Y. Y. (2002). Landslide risk assessment and management: an overview. Engineering Geology, 64, 65–87. www.elsevier.com/locate/enggeo Dai, F. C., Lee, C. F., & Wang, S. J. (2003). Characterization of rainfall-induced landslides. International Journal of Remote Sensing, 24(23), 4817–4834. https://doi.org/10.1080/014311601131000082424 Dammeier, F., Moore, J. R., Haslinger, F., & Loew, S. (2011). Characterization of alpine rockslides using statistical analysis of seismic signals. Journal of Geophysical Research, 116(4). https://doi.org/10.1029/2011JF002037 Davies, T. R. H. (1982). Spreading of Rock Avalanche Debris by Mechanical Fluidization. Rock Mechanics, 15, 9–24 De Leon, R. D. (2018). Impactos de los eventos recurrentes y sus causas en Colombia (J. Betancourt, Ed.). UNGRD Delaney, K. B., & Evans, S. G. (2014). The 1997 Mount Munday landslide (British Columbia) and the behaviour of rock avalanches on glacier surfaces. Landslides, 11(6), 1019–1036. https://doi.org/10.1007/s10346-013-0456-7 Departamento Nacional de Planeación. (2015). 3.181 muertos y 12,3 millones de afectados: las cifras de desastres naturales entre 2006 y 2014. Https://Www.Dnp.Gov.Co/Paginas/3-181-Muertos,-21-594-Emergencias-y-12,3- Millones-de-Afectados-Las-Cifras-de-Los-Desastres-Naturales-Entre-2006-y-2014- .Aspx Devoli, G., de Blasio, F., Elverhøi, A., & Høeg, K. (2009). Statistical analysis of landslide events in Central America and their run-out distance. Geotechnical and Geological Engineering, 27(1), 23–42. https://doi.org/10.1007/s10706-008-9209-0 Diez, D., Cetinkaya-Rundel, M., & Barr, Ch. (2019). openintro-statistics (4th ed.) Duque-Escobar, G. (2009). Aspectos Geofísicos y Amenazas Naturales en los Andes de Colombia. http://www.todacolombia.com Edgers, L., & Karlsrud, K. (1982). Soil Flows Generated by Submarine Slides: Case Studies and Consequences. https://www.researchgate.net/publication/244501589 Fan, X., Rossiter, D. G., van Westen, C. J., Xu, Q., & Görüm, T. (2014). Empirical prediction of coseismic landslide dam formation. Earth Surface Processes and Landforms, 39(14), 1913–1926. https://doi.org/10.1002/esp.3585 Fannin, R. J., & Wise, M. P. (2001). An empirical-statistical model for debris flow travel distance. Canadian Geotechnical Journal, 38(5), 982–994. https://doi.org/10.1139/cgj- 38-5-982 Faraway, J. (2005). Linear Models with R. Chapman & Hall/CRC Federico, F., & Cesali, C. (2015). An energy-based approach to predict debris flow mobility and analyze empirical relationships. Canadian Geotechnical Journal, 52(12), 2113– 2133. https://doi.org/10.1139/cgj-2015-0107 Fell, R., Corominas, J., Bonnard, C., Cascini, L., Leroi, E., & Savage, W. Z. (2008). Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Engineering Geology, 102, 85–98. https://doi.org/10.1016/j.enggeo.2008.03.022 Finlay, P. J., Mostyn, G. R., Fell, R., & Sullivan Meynink, P. (1999). Landslides: Prediction of Travel Distance and Guidelines for Vulnerability of Persons. 8th Australia - New Zealand Conference on Geomechanics, 45–54 FOPAE. (2013). Estudio de estabilidad geotécnica, de evaluación de amenaza, vulnerabilidad y riesgo por fenómenos de remoción en masa para la evaluación de alternativas de mitigación del riesgo para la urbanización Buenavista Sur Oriental II, Etapas I y II, en la localidad de San Cristóbal, en Bogotá, D.C. García, A. (1966). Contribución para la clasificación de los movimientos del terreno. Revista de Obras Públicas, 320, 995–1003 Griswold, J. (2004). Mobility Statistics and Hazard Mapping for Nonvolcanic Debris-flows and Rock Avalanches [Master Thesis, Portland State University]. Institutional Repository – Portland State University Grupo de Estándares para Movimientos en Masa. (2007). Movimientos en Masa en la Región Andina: Una guía para la evaluación de amenazas. Servicio Nacional de Geología y Minería, Publicación Geológica Multinacional. 432 p. Guo, D., Hamada, M., He, C., Wang, Y., & Zou, Y. (2014). An empirical model for landslide travel distance prediction in Wenchuan earthquake area. Landslides, 11(2), 281–291. https://doi.org/10.1007/s10346-013-0444-y Gutiérrez, Eduardo., & Vladimirovna, Olga. (2016). Estadística inferencial 1 para ingeniería y ciencias. Grupo Editorial Patria Hattanji, T., & Moriwaki, H. (2009). Morphometric analysis of relic landslides using detailed landslide distribution maps: Implications for forecasting travel distance of future landslides. Geomorphology, 103(3), 447–454. https://doi.org/10.1016/j.geomorph.2008.07.009 Hayashi, J. N., & Self, S. (1992). A comparison of pyroclastic flow and debris avalanche mobility. Journal of Geophysical Research, 97(B6), 9063–9071. https://doi.org/10.1029/92JB00173 Heim, A. (1932). Bergsturz und Menschenleben, Fretz und Wasmuth, Zurich, (pp. 1–218) Hernández, A. O. (2013). Selección de alternativas de mitigación del riesgo por procesos de remoción en masa [Tesis de Maestría, Pontificia Universidad Javeriana]. Repositorio Institucional – Pontificia Universidad Javeriana Highland, L. M., & Bobrowsky, P. (2008). The Landslide Handbook-A Guide to Understanding Landslides. U.S. Geological Survey Hoblitt, R., Walder, J., Driedger, C., Scotf, K., Pringle, P., & Vallance, J. (1998). Volcano Hazards from Mount Rainier Hsü. K.J. (1975). Catastrophic Debris Streams (Sturzstroms) Generated by Rockfalls. Geological Society of America Bulletin, 86, 129–140 Hühnerbach, V., & Masson, D. G. (2004). Landslides in the North Atlantic and its adjacent seas: An analysis of their morphology, setting and behaviour. Marine Geology, 213, 343–362. https://doi.org/10.1016/j.margeo.2004.10.013 Hungr, O. (1995). A model for the runout analysis of rapid flow slides, debris flows, and avalanches. Canadian Geotechnical Journal, 32(4), 610–623. https://doi.org/10.1139/t95-063 Hunter, G., & Fell, R. (2003). Travel distance angle for “rapid” landslides in constructed and natural soil slopes. Canadian Geotechnical Journal, 40(6), 1123–1141. https://doi.org/10.1139/t03-061 Hürlimann, M., McArdell, B. W., & Rickli, C. (2015). Field and laboratory analysis of the runout characteristics of hillslope debris flows in Switzerland. Geomorphology, 232, 20–32. https://doi.org/10.1016/j.geomorph.2014.11.030 Hürlimann, M., Rickenmann, D., Medina, V., & Bateman, A. (2008). Evaluation of approaches to calculate debris-flow parameters for hazard assessment. Engineering Geology, 102, 152–163. https://doi.org/10.1016/j.enggeo.2008.03.012 Hutchinson, J. N. (1988). General report: Morphological and geotechnical parameters of landslides in relation to geology and hydrogeology. Fifth International Symposium on Landslides, 3–35 IAEG. (1990). Suggested nomenclature for landslides. Bulletin of the International Association of Engineering Geology, 41(1). https://doi.org/10.1007/BF02590202 IDEAM. (2000). Unidades geomorfológicas del territorio colombiano IDEAM. (2005). Atlas Climatológico de Colombia Ishikawa, Y., Kawakami, S., Morimoto, C., & Mizuhara, K. (2003). Suppression of debris movement by forests and damage to forests by debris deposition. J For Res, 8, 37– 47 Iverson, R. M., George, D. L., Allstadt, K., Reid, M. E., Collins, B. D., Vallance, J. W., Schilling, S. P., Godt, J. W., Cannon, C. M., Magirl, C. S., Baum, R. L., Coe, J. A., Schulz, W. H., & Bower, J. B. (2015). Landslide mobility and hazards: Implications of the 2014 Oso disaster. Earth and Planetary Science Letters, 412, 197–208. https://doi.org/10.1016/j.epsl.2014.12.020 Iverson, R., Schilling, S., & Vallance, J. (1998). Objective delineation of lahar-inundation hazard zones. GSA Bulletin, 110(8), 972–984 Johnson, A. C., Swanston, D. N., & Mcgee, K. E. (2000). Landslide initiation, runout, and deposition within clearcuts and old-growth forests of Alaska. Journal of the American Water Resourcers Association, 36(1), 17–30 Kilburn, C. R. J., & Sørensen, S. A. (1998). Runout lengths of sturzstroms: The control of initial conditions and of fragment dynamics. Journal of Geophysical Research: Solid Earth, 103(8), 17877–17884. https://doi.org/10.1029/98jb01074 Korup, O., Schneider, D., Huggel, C., & Dufresne, A. (2013). Long-Runout Landslides. In Treatise on Geomorphology (Vol. 7, pp. 183–199). Elsevier Inc. https://doi.org/10.1016/B978-0-12-374739-6.00164-0 Legros, F. (2002). The mobility of long-runout landslides. Engineering Geology, 63, 301– 331 Li, X., Kong, J., & Li, S. (2011). Travel distance prediction of landslides triggered by the M8.0 Wenchuan earthquake. Applied Mechanics and Materials, 71–78, 1736–1740. https://doi.org/10.4028/www.scientific.net/AMM.71-78.1736 Malamud, B. D., Turcotte, D. L., Guzzetti, F., & Reichenbach, P. (2004). Landslide inventories and their statistical properties. Earth Surface Processes and Landforms, 29(6), 687–711. https://doi.org/10.1002/esp.1064 Marulanda, M. (2018). Atlas de Riesgo de Colombia: revelando los desastres latentes. UNGRD McDougall, S. (2017). 2014 Canadian Geotechnical Colloquium: Landslide runout analysis — current practice and challenges. Canadian Geotechnical Journal, 54(5), 605–620. https://doi.org/10.1139/cgj-2016-0104 McDougall, S. D., & Hungr, O. (2003). Objectives for the development of an integrated three dimensional continuum model for the analysis of landslide runout. 3rd. International Conference on Debris Flows Hazard Mitigation, Mechanics, Prediction and Assessment, 481–490 Mejía, L. C. (2012). Formulación de una propuesta de desarrollo institucional para atender la emergencia invernal generada por el fenómeno de la niña 2010-2011 [Tesis de Maestría, Universidad Autónoma de Manizales]. Repositorio Institucional – Universidad Autónoma de Manizales Moernaut, J., & de Batist, M. (2011). Frontal emplacement and mobility of sublacustrine landslides: Results from morphometric and seismostratigraphic analysis. Marine Geology, 285, 29–45. https://doi.org/10.1016/j.margeo.2011.05.001 Mousavi, S. M., Omidvar, B., Ghazban, F., & Feyzi, R. (2011). Quantitative risk analysis for earthquake-induced landslides-Emamzadeh Ali, Iran. Engineering Geology, 122, 191– 203. https://doi.org/10.1016/j.enggeo.2011.05.010 Nicoletti, P., & Sorriso-Valvo, M. (1991). Geomorphic controls of the shape and mobility of rock avalanches. Geological Society of America Bulletin, 103, 1365–1373 Nilsen, M. W. (2008). Modelling of rockfall runout range: Employing empirical and dynamical methods [Master Thesis, University of Oslo]. Institutional Repository – University of Oslo Okura, Y., Kitahara, H., Kawanami, A., & Kurokawa, U. (2003). Topography and volume effects on travel distance of surface failure. Engineering Geology, 67, 243–254 Okura, Y., Kitahara, H., Sammori, T., & Kawanami, A. (2000). The effects of rockfall volume on runout distance. Engineering Geology, 58, 109–124 Prochaska, A. B., Santi, P. M., Higgins, J. D., & Cannon, S. H. (2008). Debris-flow runout predictions based on the average channel slope (ACS). Engineering Geology, 98, 29– 40. https://doi.org/10.1016/j.enggeo.2008.01.011 Qi, S., Xu, Q., Zhang, B., Zhou, Y., Lan, H., & Li, L. (2011). Source characteristics of long runout rock avalanches triggered by the 2008 Wenchuan earthquake, China. Journal of Asian Earth Sciences, 40(4), 896–906. https://doi.org/10.1016/j.jseaes.2010.05.010 Qiu, H., Cui, P., Hu, S., Regmi, A. D., Wang, X., & Yang, D. (2018). Developing empirical relationships to predict loess slide travel distances: a case study on the Loess Plateau in China. Bulletin of Engineering Geology and the Environment, 77(4), 1299–1309. https://doi.org/10.1007/s10064-018-1328-0 Qiu, H., Cui, P., Regmi, A. D., Hu, S., Wang, X., Zhang, Y., & He, Y. (2017). Influence of topography and volume on mobility of loess slides within different slip surfaces. Catena, 157, 180–188. https://doi.org/10.1016/j.catena.2017.05.026 Rickenmann, D. (1999). Empirical Relationships for Debris Flows. In Natural Hazards (Vol. 19, pp. 47–77) Roback, K., Clark, M. K., West, A. J., Zekkos, D., Li, G., Gallen, S. F., Chamlagain, D., & Godt, J. W. (2018). The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal. Geomorphology, 301, 121–138. https://doi.org/10.1016/j.geomorph.2017.01.030 Robertson, K., Jaramillo, O., & Castiblanco, M. (2013). Guía metdológica para la elaboración de mapas geomorfológicos a escala 1:100.000. IDEAM Rodríguez, E. A., Sandoval, J. H., Chaparro, J. L., Trejos, G. A., Bello, E. M., Ramírez, K. C., Marín, E. C., Castro, J. A., & Ruiza, G. L. (2017). Guía metodológica para la zonificación de amenaza por movimientos en masa escala 1:25.000 (Imprenta Nacional de Colombia, Ed.). Servicio Geológico Colombiano Scheidegger, A. E. (1973). On the Prediction of the Reach and Velocity of Catastrophic Landslides. In Rock Mechanics (Vol. 5, pp. 231–236) Scheidl, C., & Rickenmann, D. (2010). Empirical prediction of debris-flow mobility and deposition on fans. Earth Surface Processes and Landforms, 35(2), 157–173. https://doi.org/10.1002/esp.1897 Schneider, D., Huggel, C., Haeberli, W., & Kaitna, R. (2011). Unraveling driving factors for large rock-ice avalanche mobility. Earth Surface Processes and Landforms, 36(14), 1948–1966. https://doi.org/10.1002/esp.2218 SGC. (2015). Memoria explicativa mapa geomorfológico aplicado a movimientos en masa, escala 1:100.000, plancha 24-Pichimá SGC. (2018). Conocimiento del territorio para el desarrollo del país Shreve, R. L. (1968). The Blackhawk landslide. Geological Society of America, 108, 1–47 Siebert, L. (1984). Large volcanic debris avalanches: Characteristics of sources areas, deposits, and associated eruptions. Journal of Volcanology and Geothermal Research, 22, 163–197 Skermer, N. A. (1985). Discussion of paper “Nature and mechanics of the Mount St Helens rockslide-avalanche of 18 May 1980.” Géotechnique, 35, 357–362 Staron, L. (2008). Mobility of long-runout rock flows: A discrete numerical investigation. Geophysical Journal International, 172(1), 455–463. https://doi.org/10.1111/j.1365- 246X.2007.03631.x Staron, L., & Lajeunesse, E. (2009). Understanding how volume affects the mobility of dry debris flows. Geophysical Research Letters, 36(12). https://doi.org/10.1029/2009GL038229 Strîmbu, B. (2011). Modeling the travel distances of debris flows and debris slides: quantifying hillside morphology. Ann. For. Res, 54(1), 119–134 Strom, A., Li, L., & Lan, H. (2019). Rock avalanche mobility: optimal characterization and the effects of confinement. Landslides, 16(8), 1437–1452. https://doi.org/10.1007/s10346-019-01181-z Taylor, F. E., Malamud, B. D., Witt, A., & Guzzetti, F. (2018). Landslide shape, ellipticity and length-to-width ratios. Earth Surface Processes and Landforms, 43(15), 3164– 3189. https://doi.org/10.1002/esp.4479 Thakur, V., Degago, S. A., Oset, F., Aabøe, R., Dolva, B. K., Aunaas, K., Nyheim, T., Lyche, E., Jensen, O. A., Sæter, M. B., Robsrud, A., Viklund, M., Nigussie, D., & L’Heureux, J. S. (2014). Characterization of post-failure movements of landslides in soft sensitive clays. In Advances in Natural and Technological Hazards Research (Vol. 36, pp. 91– 103). Springer Netherlands. https://doi.org/10.1007/978-94-007-7079-9_8 Tian, Y., Xu, C., Chen, J., Zhou, Q., & Shen, L. (2017). Geometrical characteristics of earthquake-induced landslides and correlations with control factors: a case study of the 2013 Minxian, Gansu, China, Mw 5.9 event. Landslides, 14(6), 1915–1927. https://doi.org/10.1007/s10346-017-0835-6 Toussaint, J.-F. (1993). Evolución geológica de Colombia: Precámbrico, Paleozoico, Volumen1 (Universidad Nacional de Colombia, Ed.) Toyos, G., Gunasekera, R., Zanchetta, G., Oppenheimer, C., Sulpizio, R., Favalli, M., & Pareschi, M. (2008). GIS-assisted modelling for debris flow hazard assessment based on the events of May 1998 in the area of Sarno, Southern Italy: II. Velocity and dynamic pressure. Earth Surf. Process. Landforms, 33, 1693–1708. https://doi.org/10.1002/esp1640 Ui, T. (1983). Volcanic dry avalanche deposits-identification and comparison with nonvolcanic debris stream deposits. Journal of Volcanology and Geothermal Research, 18, 135–150 Varnes, D. (1978). Slope movement types and processes. In Landslides—Investigation and mitigation: Transportation Research Board, Special report no. 176 Vaunat, J., & Leroueil, S. (2002). Analysis of Post-Failure Slope Movements within the Framework of Hazard and Risk Analysis. Natural Hazards, 26, 83–109 Voight, B., Janda, R. J., Glicken, H., & Douglass, P. M. (1983). Nature and mechanics of the Mount St Helens rockslide-avalanche of 18 May 1980. Géotechnique, 33, 243– 273 Walpole, R., Myers, R., Myers, S., & Ye, K. (2012). Probabilidad y estadística para ingeniería y ciencias (9th ed.). Pearson Education, Inc Waythomas, C., Miller, T., & Begér, J. (2000). Record of late holocene debris avalanches and lahars at Iliamna volcano, Alaska. Journal of Volcanology and Geothermal Research, 106, 97–130 Whittall, J., Eberhardt, E., & McDougall, S. (2017). Runout analysis and mobility observations for large open pit slope failures. Canadian Geotechnical Journal, 54(3), 373–391. https://doi.org/10.1139/cgj-2016-0255 Whittall, J. R. (2015). Runout exceedance prediction for open pit slope failures [Master Thesis, The University of British Columbia]. Institutional Repository – The University of British Columbia Whittall, J. R., McDougall, S., & Eberhardt, E. (2017). A risk-based methodology for establishing landslide exclusion zones in operating open pit mines. International Journal of Rock Mechanics and Mining Sciences, 100, 100–107. https://doi.org/10.1016/j.ijrmms.2017.10.012 Wong, H. N., Lam, K. C., & Ho, K. K. S. (1998). Diagnostic Report on the November 1993 Natural Terrain Landslides on Lantau Island. GEO Report No. 69 Xu, C., Shyu, J. B. H., & Xu, X. (2014). Landslides triggered by the 12 January 2010 Portau-Prince, Haiti, Mw = 7.0 earthquake: Visual interpretation, inventory compiling, and spatial distribution statistical analysis. Natural Hazards and Earth System Sciences, 14(7), 1789–1818. https://doi.org/10.5194/nhess-14-1789-2014 Xu, Q., Li, H., He, Y., Liu, F., & Peng, D. (2019). Comparison of data-driven models of loess landslide runout distance estimation. Bulletin of Engineering Geology and the Environment, 78(2), 1281–1294. https://doi.org/10.1007/s10064-017-1176-3 Yoshida, H., Sugai, T., & Ohmori, H. (2012). Size-distance relationships for hummocks on volcanic rockslide-debris avalanche deposits in Japan. Geomorphology, 136(1), 76– 87. https://doi.org/10.1016/j.geomorph.2011.04.044 Yu, F. C., Chen, C. Y., Chen, T. C., Hung, F. Y., & Lin, S. C. (2006). A GIS process for delimitating areas potentially endangered by debris flow. Natural Hazards, 37, 169– 189. https://doi.org/10.1007/s11069-005-4666-8 Zhan, W., Fan, X., Huang, R., Pei, X., Xu, Q., & Li, W. (2017). Empirical prediction for travel distance of channelized rock avalanches in the Wenchuan earthquake area. Natural Hazards and Earth System Sciences, 17(6), 833–844. https://doi.org/10.5194/nhess- 17-833-2017 Zhang, M., & Yin, Y. (2013). Dynamics, mobility-controlling factors and transport mechanisms of rapid long-runout rock avalanches in China. Engineering Geology, 167, 37–58. https://doi.org/10.1016/j.enggeo.2013.10.010 Zhang, S., Zhang, L. M., Chen, H. X., Yuan, Q., & Pan, H. (2013). Changes in runout distances of debris flows over time in the Wenchuan earthquake zone. Journal of Mountain Science, 10(2), 281–292. https://doi.org/10.1007/s11629-012-2506-y Zhang, S., Zhang, L. M., Xiang, B., & Yuan, Q. (2013). Travel Distances of Earthquakeinduced Landslides. Geo-Congress 2013: Stability and Performance of Slopes and Embankments III, 991–1001. https://doi.org/10.1061/9780784412787.101 Zhuang, J., Peng, J., Xu, C., Li, Z., Densmore, A., Milledge, D., Iqbal, J., & Cui, Y. (2018). Distribution and characteristics of loess landslides triggered by the 1920 Haiyuan Earthquake, Northwest of China. Geomorphology, 314, 1–12. https://doi.org/10.1016/j.geomorph.2018.04.012 Zou, Z., Xiong, C., Tang, H., Criss, R. E., Su, A., & Liu, X. (2017). Prediction of landslide runout based on influencing factor analysis. Environmental Earth Sciences, 76(21). https://doi.org/10.1007/s12665-017-7075-x |
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Atribución-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ávila Álvarez, Guillermo Eduardo57cfe2191de2c456151f3f3dc5cf99b0Moncayo Legarda, Carlos Steven1a723c15e67cc20d7136d28299d089c62022-02-01T13:43:49Z2022-02-01T13:43:49Z2021https://repositorio.unal.edu.co/handle/unal/80825Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, gráficas, mapasEl análisis de los deslizamientos y los daños derivados de estos procesos han requerido el esfuerzo de los profesionales e investigadores en el área de la geotecnia a través de la implementación de herramientas como los estudios de amenaza, vulnerabilidad y riesgo. Uno de los temas que ha recibido especial atención en los últimos años es la evaluación de la distancia de viaje, a través de modelos simples o modelos más sofisticados que involucran análisis más detallados, esto con el fin de mejorar la evaluación de la amenaza. En este estudio, se obtuvo un conjunto de datos con parámetros característicos de 199 deslizamientos en la región Andina de Colombia a partir del inventario digital del Sistema de Información de Movimientos en Masa (SIMMA) implementado por el Servicio Geológico Colombiano. Los análisis muestran que los movimientos en masa de la región se desarrollan en una gran variedad de materiales y son desencadenados principalmente por la acción de la lluvia, además exhiben en su mayoría una movilidad limitada y una magnitud relativamente pequeña. Por otra parte, se evaluó el efecto de distintos factores de influencia en el alcance de los deslizamientos, obteniendo así modelos empíricos para su predicción mediante técnicas de regresión simple y múltiple. Los resultados revelan que el volumen de la masa desplazada, el ángulo del talud antes de la falla, la altura vertical máxima y el ambiente geomorfológico son los factores predominantes en los modelos para la evaluación de la distancia de viaje de los movimientos en masa de la región, asimismo, se encontró una buena correlación entre el área planimétrica y el volumen del evento. Los modelos propuestos muestran un ajuste razonable entre los valores observados y predichos, y para el caso colombiano muestran una capacidad de predicción superior al resto de modelos disponibles aplicados a los datos de este estudio. Las ecuaciones de predicción fueron posteriormente usadas para elaborar un mapa de distancias de viaje que delimita zonas de amenaza para distintas probabilidades de excedencia. Los modelos empíricos presentados en este trabajo son aplicables para la región Andina y otras regiones con similar configuración geológica y geomorfológica y constituyen un aporte para los procesos de gestión de riesgo por movimientos en masa en el país. (Texto tomado de la fuente).The analysis of the landslides and the damages derived from these processes have required the effort of professionals and researchers in the area of geotechnics through the implementation of tools such as hazard, vulnerability and risk assessment. One of the topics that has received special attention in recent years is the evaluation of travel distance, through simple models or more sophisticated models that involve more detailed analysis, in order to improve hazard assessment. In this study, a dataset with characteristic parameters of 199 landslides in the Andean region of Colombia was obtained from the digital inventory of the Mass Movement Information System (SIMMA) implemented by the Colombian Geological Survey. The analysis shows that mass movements in the region are developed in a wide variety of materials and are mainly triggered by the action of rainfall. In addition, they mostly exhibit limited mobility and relatively small magnitude. On the other hand, the effect of different influential factors on the reach of the landslides was evaluated, thus obtaining empirical models for their prediction by means of simple and multiple regression techniques. The results reveal that the volume of the displaced mass, the angle of the slope before the failure, the maximum vertical height and the geomorphological environment are the predominant factors in the models for the evaluation of the travel distance of the mass movements in the region, likewise, a good correlation was found between the planimetric area and the volume of the event. The proposed models show a reasonable fit between the observed and predicted values, and for the Colombian case they show a higher prediction capacity than the rest of the available models applied to the data of this study. The prediction equations were subsequently used to develop a travel distance map that delineates hazard zones for different exceedance probabilities. The empirical models presented in this work are applicable to the Andean region and other regions with similar geological and geomorphological settings and constitute a contribution to the risk management processes for mass movements in the country.Incluye anexosMaestríaMagíster en Ingeniería - GeotecniaAnálisis de confiabilidad y riesgos asociados al entorno geotécnicoTaludes, laderas, cauces y zonificación técnicaxxviii, 213 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - GeotecniaDepartamento de Ingeniería Civil y AgrícolaFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá620 - Ingeniería y operaciones afines::624 - Ingeniería civilRock mechanicsMecánica de rocasDeslizamientosDistancia de viajeEstudios de amenazaModelos empíricosMovilidadEmpirical modelsHazard assessmentMobilityLandslidesTravel distanceDeslizamiento de tierraAludLandslidesAvalanchesEvaluación de la distancia de viaje de movimientos en masa en Colombia a partir de registros históricosEvaluation of the travel distance of mass movements in Colombia based on historical recordsTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMColombiaAmat, J. (2016a, June). Correlación lineal y regresión lineal simple. https://www.cienciadedatos.net/documentos/24_correlacion_y_regresion_linealAmat, J. (2016b, July). Introducción a la regresión lineal múltiple. https://www.cienciadedatos.net/documentos/25_regresion_lineal_multiple.html#Varia bles_nominalescateg%C3%B3ricas_como_predictoresAmat, J. (2017, July). Árboles de decisión, random forest, gradient boosting y C5.0. https://www.cienciadedatos.net/documentos/33_arboles_decision_random_forest_gr adient_boosting_c50#Idea_intuitivaÁvila, G. E., Cubillos, C. E., Granados, A. E., Medina, E., Rodríguez, E. A., Rodríguez, C. E., & Ruiz, G. L. (2015). Guía metodológica para estudios de amenaza, vulnerabilidad y riesgo por movimientos en masa (Imprenta Nacional de Colombia, Ed.). Servicio Geológico ColombianoÁvila, G., & Rojas, J. (2019). Historical review of catastrophic events caused by landslides and debris flows in Colombia from 1987 to 2017. In K. Sassa & K. Dang (Eds.), 2019 IPL Symposium on Landslides. The International Consortium on LandslidesBaratoux, D., Mangold, N., Delacourt, C., & Allemand, P. (2002). Evidence of liquid water in recent debris avalanche on Mars. Geophysical Research Letters, 29(7), 60-1-60– 64. https://doi.org/10.1029/2001GL014155Basharat, M., Kashif, M., & Sarfraz, Y. (2018). Effects of volume and topographic parameters on rockfall travel distance: A case study from NW Himalayas, Pakistan. Quarterly Journal of Engineering Geology and Hydrogeology, 51(3), 387–398. https://doi.org/10.1144/qjegh2017-027Basharat, M., & Rohn, J. (2015). Effects of volume on travel distance of mass movements triggered by the 2005 Kashmir earthquake, in the Northeast Himalayas of Pakistan. Natural Hazards, 77(1), 273–292. https://doi.org/10.1007/s11069-015-1590-4Berti, M., & Simoni, A. (2007). Prediction of debris flow inundation areas using empirical mobility relationships. Geomorphology, 90, 144–161. https://doi.org/10.1016/j.geomorph.2007.01.014Berti, M., & Simoni, A. (2014). DFLOWZ: A free program to evaluate the area potentially inundated by a debris flow. Computers and Geosciences, 67, 14–23. https://doi.org/10.1016/j.cageo.2014.02.002Budetta, P., & de Riso, R. (2004). The mobility of some debris flows in pyroclastic deposits of the northwestern Campanian region (southern Italy). Bulletin of Engineering Geology and the Environment, 63(4), 293–302. https://doi.org/10.1007/s10064-004- 0244-7Calvachi, A. F. (2019). Estimación de la Probabilidad de Ocurrencia de Movimientos en Masa en Colombia a Partir de Relaciones Magnitud-Frecuencia [Tesis de Maestría, Universidad Nacional de Colombia]. Repositorio Institucional – Universidad Nacional de ColombiaCampos, A., Holm-Nielsen, N., Díaz, C., Rubiano, D. M., Costa, C. R., Ramírez, F., & Dickson, E. (2012). Análisis de la gestión del riesgo de desastres en Colombia; un aporte para la construcción de políticas públicas (Primera Edición)Capra, L., Macías, J. L., Scott, K. M., Abrams, M., & Garduño-Monroy, V. H. (2002). Debris avalanches and debris flows transformed from collapses in the Trans-Mexican Volcanic Belt, Mexico-behavior, and implications for hazard assessment. Journal of Volcanology and Geothermal Research, 113, 81–110Chen, C. W., Chen, H., Wei, L. W., Lin, G. W., Iida, T., & Yamada, R. (2017). Evaluating the susceptibility of landslide landforms in Japan using slope stability analysis: a case study of the 2016 Kumamoto earthquake. Landslides, 14(5), 1793–1801. https://doi.org/10.1007/s10346-017-0872-1Chen, H. X., Zhang, L., Gao, L., Zhu, H., & Zhang, S. (2015). Presenting regional shallow landslide movement on three-dimensional digital terrain. Engineering Geology, 195, 122–134. https://doi.org/10.1016/j.enggeo.2015.05.027CNAIGRD. (2021). Investigaciones en gestión del riesgo de desastres para Colombia: Avances, perspectivas y casos de estudio (CNAIGRD, Ed.). UNGRDCorominas, J. (1996). The angle of reach as a mobility index for small and larger landslides. Canadian Geotechnical Journal, 33, 260–271. https://doi.org/10.1139/t96-005Corominas, J., Einstein, H., Davis, T., Strom, A., Zuccaro, G., Nadim, F., & Verdel, T. (2015). Glossary of terms on landslide hazard and risk. In G. Lollino (Ed.), Engineering Geology for Society and Territory - Volume 2: Landslide Processes (pp. 1775–1779). Springer International Publishing. https://doi.org/10.1007/978-3-319-09057-3_314Corominas, J., van Westen, C., Frattini, P., Cascini, L., Malet, J. P., Fotopoulou, S., Catani, F., van den Eeckhaut, M., Mavrouli, O., Agliardi, F., Pitilakis, K., Winter, M. G., Pastor, M., Ferlisi, S., Tofani, V., Hervás, J., & Smith, J. T. (2014). Recommendations for the quantitative analysis of landslide risk. Bulletin of Engineering Geology and the Environment, 73(2), 209–263. https://doi.org/10.1007/s10064-013-0538-8Crosta, G. B., Cucchiaro, S., & Frattini, P. (2003). Validation of semi-empirical relationships for the definition of debris-flow behaviour in granular materials. In D. Rickenmann & C. Chen (Eds.), Fourth International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment (pp. 821–832)Crosta, G. B., Frattini, P., Valbuzzi, E., & de Blasio, F. v. (2018). Introducing a New Inventory of Large Martian Landslides. Earth and Space Science, 5(4), 89–119. https://doi.org/10.1002/2017EA000324Cruden, D. M., & Varnes, D. J. (1996). Landslide types and processes. In A. K. Turner & R. L. Schuster (Eds.), Landslides—Investigation and mitigation: Transportation Research Board, Special report no. 247 (pp. 36–75)Dade, W., & Huppert, H. (1998). Long-runout rockfalls. Geology, 26(9), 803–806Dahl, M.-P. J., Mortensen, L. E., Veihe, A., & Jensen, N. H. (2010). A simple qualitative approach for mapping regional landslide susceptibility in the Faroe Islands. Natural Hazards and Earth System Sciences, 10, 159–170. www.nat-hazards-earth-systsci.net/10/159/2010/Dai, F. C., & Lee, C. F. (2002). Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology, 42, 213–228. www.elsevier.com/locate/geomorphDai, F. C., Lee, C. F., & Ngai, Y. Y. (2002). Landslide risk assessment and management: an overview. Engineering Geology, 64, 65–87. www.elsevier.com/locate/enggeoDai, F. C., Lee, C. F., & Wang, S. J. (2003). Characterization of rainfall-induced landslides. International Journal of Remote Sensing, 24(23), 4817–4834. https://doi.org/10.1080/014311601131000082424Dammeier, F., Moore, J. R., Haslinger, F., & Loew, S. (2011). Characterization of alpine rockslides using statistical analysis of seismic signals. Journal of Geophysical Research, 116(4). https://doi.org/10.1029/2011JF002037Davies, T. R. H. (1982). Spreading of Rock Avalanche Debris by Mechanical Fluidization. Rock Mechanics, 15, 9–24De Leon, R. D. (2018). Impactos de los eventos recurrentes y sus causas en Colombia (J. Betancourt, Ed.). UNGRDDelaney, K. B., & Evans, S. G. (2014). The 1997 Mount Munday landslide (British Columbia) and the behaviour of rock avalanches on glacier surfaces. Landslides, 11(6), 1019–1036. https://doi.org/10.1007/s10346-013-0456-7Departamento Nacional de Planeación. (2015). 3.181 muertos y 12,3 millones de afectados: las cifras de desastres naturales entre 2006 y 2014. Https://Www.Dnp.Gov.Co/Paginas/3-181-Muertos,-21-594-Emergencias-y-12,3- Millones-de-Afectados-Las-Cifras-de-Los-Desastres-Naturales-Entre-2006-y-2014- .AspxDevoli, G., de Blasio, F., Elverhøi, A., & Høeg, K. (2009). Statistical analysis of landslide events in Central America and their run-out distance. Geotechnical and Geological Engineering, 27(1), 23–42. https://doi.org/10.1007/s10706-008-9209-0Diez, D., Cetinkaya-Rundel, M., & Barr, Ch. (2019). openintro-statistics (4th ed.)Duque-Escobar, G. (2009). Aspectos Geofísicos y Amenazas Naturales en los Andes de Colombia. http://www.todacolombia.comEdgers, L., & Karlsrud, K. (1982). Soil Flows Generated by Submarine Slides: Case Studies and Consequences. https://www.researchgate.net/publication/244501589Fan, X., Rossiter, D. G., van Westen, C. J., Xu, Q., & Görüm, T. (2014). Empirical prediction of coseismic landslide dam formation. Earth Surface Processes and Landforms, 39(14), 1913–1926. https://doi.org/10.1002/esp.3585Fannin, R. J., & Wise, M. P. (2001). An empirical-statistical model for debris flow travel distance. Canadian Geotechnical Journal, 38(5), 982–994. https://doi.org/10.1139/cgj- 38-5-982Faraway, J. (2005). Linear Models with R. Chapman & Hall/CRCFederico, F., & Cesali, C. (2015). An energy-based approach to predict debris flow mobility and analyze empirical relationships. Canadian Geotechnical Journal, 52(12), 2113– 2133. https://doi.org/10.1139/cgj-2015-0107Fell, R., Corominas, J., Bonnard, C., Cascini, L., Leroi, E., & Savage, W. Z. (2008). Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Engineering Geology, 102, 85–98. https://doi.org/10.1016/j.enggeo.2008.03.022Finlay, P. J., Mostyn, G. R., Fell, R., & Sullivan Meynink, P. (1999). Landslides: Prediction of Travel Distance and Guidelines for Vulnerability of Persons. 8th Australia - New Zealand Conference on Geomechanics, 45–54FOPAE. (2013). Estudio de estabilidad geotécnica, de evaluación de amenaza, vulnerabilidad y riesgo por fenómenos de remoción en masa para la evaluación de alternativas de mitigación del riesgo para la urbanización Buenavista Sur Oriental II, Etapas I y II, en la localidad de San Cristóbal, en Bogotá, D.C.García, A. (1966). Contribución para la clasificación de los movimientos del terreno. Revista de Obras Públicas, 320, 995–1003Griswold, J. (2004). Mobility Statistics and Hazard Mapping for Nonvolcanic Debris-flows and Rock Avalanches [Master Thesis, Portland State University]. Institutional Repository – Portland State UniversityGrupo de Estándares para Movimientos en Masa. (2007). Movimientos en Masa en la Región Andina: Una guía para la evaluación de amenazas. Servicio Nacional de Geología y Minería, Publicación Geológica Multinacional. 432 p.Guo, D., Hamada, M., He, C., Wang, Y., & Zou, Y. (2014). An empirical model for landslide travel distance prediction in Wenchuan earthquake area. Landslides, 11(2), 281–291. https://doi.org/10.1007/s10346-013-0444-yGutiérrez, Eduardo., & Vladimirovna, Olga. (2016). Estadística inferencial 1 para ingeniería y ciencias. Grupo Editorial PatriaHattanji, T., & Moriwaki, H. (2009). Morphometric analysis of relic landslides using detailed landslide distribution maps: Implications for forecasting travel distance of future landslides. Geomorphology, 103(3), 447–454. https://doi.org/10.1016/j.geomorph.2008.07.009Hayashi, J. N., & Self, S. (1992). A comparison of pyroclastic flow and debris avalanche mobility. Journal of Geophysical Research, 97(B6), 9063–9071. https://doi.org/10.1029/92JB00173Heim, A. (1932). Bergsturz und Menschenleben, Fretz und Wasmuth, Zurich, (pp. 1–218)Hernández, A. O. (2013). Selección de alternativas de mitigación del riesgo por procesos de remoción en masa [Tesis de Maestría, Pontificia Universidad Javeriana]. Repositorio Institucional – Pontificia Universidad JaverianaHighland, L. M., & Bobrowsky, P. (2008). The Landslide Handbook-A Guide to Understanding Landslides. U.S. Geological SurveyHoblitt, R., Walder, J., Driedger, C., Scotf, K., Pringle, P., & Vallance, J. (1998). Volcano Hazards from Mount RainierHsü. K.J. (1975). Catastrophic Debris Streams (Sturzstroms) Generated by Rockfalls. Geological Society of America Bulletin, 86, 129–140Hühnerbach, V., & Masson, D. G. (2004). Landslides in the North Atlantic and its adjacent seas: An analysis of their morphology, setting and behaviour. Marine Geology, 213, 343–362. https://doi.org/10.1016/j.margeo.2004.10.013Hungr, O. (1995). A model for the runout analysis of rapid flow slides, debris flows, and avalanches. Canadian Geotechnical Journal, 32(4), 610–623. https://doi.org/10.1139/t95-063Hunter, G., & Fell, R. (2003). Travel distance angle for “rapid” landslides in constructed and natural soil slopes. Canadian Geotechnical Journal, 40(6), 1123–1141. https://doi.org/10.1139/t03-061Hürlimann, M., McArdell, B. W., & Rickli, C. (2015). Field and laboratory analysis of the runout characteristics of hillslope debris flows in Switzerland. Geomorphology, 232, 20–32. https://doi.org/10.1016/j.geomorph.2014.11.030Hürlimann, M., Rickenmann, D., Medina, V., & Bateman, A. (2008). Evaluation of approaches to calculate debris-flow parameters for hazard assessment. Engineering Geology, 102, 152–163. https://doi.org/10.1016/j.enggeo.2008.03.012Hutchinson, J. N. (1988). General report: Morphological and geotechnical parameters of landslides in relation to geology and hydrogeology. Fifth International Symposium on Landslides, 3–35IAEG. (1990). Suggested nomenclature for landslides. Bulletin of the International Association of Engineering Geology, 41(1). https://doi.org/10.1007/BF02590202IDEAM. (2000). Unidades geomorfológicas del territorio colombianoIDEAM. (2005). Atlas Climatológico de ColombiaIshikawa, Y., Kawakami, S., Morimoto, C., & Mizuhara, K. (2003). Suppression of debris movement by forests and damage to forests by debris deposition. J For Res, 8, 37– 47Iverson, R. M., George, D. L., Allstadt, K., Reid, M. E., Collins, B. D., Vallance, J. W., Schilling, S. P., Godt, J. W., Cannon, C. M., Magirl, C. S., Baum, R. L., Coe, J. A., Schulz, W. H., & Bower, J. B. (2015). Landslide mobility and hazards: Implications of the 2014 Oso disaster. Earth and Planetary Science Letters, 412, 197–208. https://doi.org/10.1016/j.epsl.2014.12.020Iverson, R., Schilling, S., & Vallance, J. (1998). Objective delineation of lahar-inundation hazard zones. GSA Bulletin, 110(8), 972–984Johnson, A. C., Swanston, D. N., & Mcgee, K. E. (2000). Landslide initiation, runout, and deposition within clearcuts and old-growth forests of Alaska. Journal of the American Water Resourcers Association, 36(1), 17–30Kilburn, C. R. J., & Sørensen, S. A. (1998). Runout lengths of sturzstroms: The control of initial conditions and of fragment dynamics. Journal of Geophysical Research: Solid Earth, 103(8), 17877–17884. https://doi.org/10.1029/98jb01074Korup, O., Schneider, D., Huggel, C., & Dufresne, A. (2013). Long-Runout Landslides. In Treatise on Geomorphology (Vol. 7, pp. 183–199). Elsevier Inc. https://doi.org/10.1016/B978-0-12-374739-6.00164-0Legros, F. (2002). The mobility of long-runout landslides. Engineering Geology, 63, 301– 331Li, X., Kong, J., & Li, S. (2011). Travel distance prediction of landslides triggered by the M8.0 Wenchuan earthquake. Applied Mechanics and Materials, 71–78, 1736–1740. https://doi.org/10.4028/www.scientific.net/AMM.71-78.1736Malamud, B. D., Turcotte, D. L., Guzzetti, F., & Reichenbach, P. (2004). Landslide inventories and their statistical properties. Earth Surface Processes and Landforms, 29(6), 687–711. https://doi.org/10.1002/esp.1064Marulanda, M. (2018). Atlas de Riesgo de Colombia: revelando los desastres latentes. UNGRDMcDougall, S. (2017). 2014 Canadian Geotechnical Colloquium: Landslide runout analysis — current practice and challenges. Canadian Geotechnical Journal, 54(5), 605–620. https://doi.org/10.1139/cgj-2016-0104McDougall, S. D., & Hungr, O. (2003). Objectives for the development of an integrated three dimensional continuum model for the analysis of landslide runout. 3rd. International Conference on Debris Flows Hazard Mitigation, Mechanics, Prediction and Assessment, 481–490Mejía, L. C. (2012). Formulación de una propuesta de desarrollo institucional para atender la emergencia invernal generada por el fenómeno de la niña 2010-2011 [Tesis de Maestría, Universidad Autónoma de Manizales]. Repositorio Institucional – Universidad Autónoma de ManizalesMoernaut, J., & de Batist, M. (2011). Frontal emplacement and mobility of sublacustrine landslides: Results from morphometric and seismostratigraphic analysis. Marine Geology, 285, 29–45. https://doi.org/10.1016/j.margeo.2011.05.001Mousavi, S. M., Omidvar, B., Ghazban, F., & Feyzi, R. (2011). Quantitative risk analysis for earthquake-induced landslides-Emamzadeh Ali, Iran. Engineering Geology, 122, 191– 203. https://doi.org/10.1016/j.enggeo.2011.05.010Nicoletti, P., & Sorriso-Valvo, M. (1991). Geomorphic controls of the shape and mobility of rock avalanches. Geological Society of America Bulletin, 103, 1365–1373Nilsen, M. W. (2008). Modelling of rockfall runout range: Employing empirical and dynamical methods [Master Thesis, University of Oslo]. Institutional Repository – University of OsloOkura, Y., Kitahara, H., Kawanami, A., & Kurokawa, U. (2003). Topography and volume effects on travel distance of surface failure. Engineering Geology, 67, 243–254Okura, Y., Kitahara, H., Sammori, T., & Kawanami, A. (2000). The effects of rockfall volume on runout distance. Engineering Geology, 58, 109–124Prochaska, A. B., Santi, P. M., Higgins, J. D., & Cannon, S. H. (2008). Debris-flow runout predictions based on the average channel slope (ACS). Engineering Geology, 98, 29– 40. https://doi.org/10.1016/j.enggeo.2008.01.011Qi, S., Xu, Q., Zhang, B., Zhou, Y., Lan, H., & Li, L. (2011). Source characteristics of long runout rock avalanches triggered by the 2008 Wenchuan earthquake, China. Journal of Asian Earth Sciences, 40(4), 896–906. https://doi.org/10.1016/j.jseaes.2010.05.010Qiu, H., Cui, P., Hu, S., Regmi, A. D., Wang, X., & Yang, D. (2018). Developing empirical relationships to predict loess slide travel distances: a case study on the Loess Plateau in China. Bulletin of Engineering Geology and the Environment, 77(4), 1299–1309. https://doi.org/10.1007/s10064-018-1328-0Qiu, H., Cui, P., Regmi, A. D., Hu, S., Wang, X., Zhang, Y., & He, Y. (2017). Influence of topography and volume on mobility of loess slides within different slip surfaces. Catena, 157, 180–188. https://doi.org/10.1016/j.catena.2017.05.026Rickenmann, D. (1999). Empirical Relationships for Debris Flows. In Natural Hazards (Vol. 19, pp. 47–77)Roback, K., Clark, M. K., West, A. J., Zekkos, D., Li, G., Gallen, S. F., Chamlagain, D., & Godt, J. W. (2018). The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal. Geomorphology, 301, 121–138. https://doi.org/10.1016/j.geomorph.2017.01.030Robertson, K., Jaramillo, O., & Castiblanco, M. (2013). Guía metdológica para la elaboración de mapas geomorfológicos a escala 1:100.000. IDEAMRodríguez, E. A., Sandoval, J. H., Chaparro, J. L., Trejos, G. A., Bello, E. M., Ramírez, K. C., Marín, E. C., Castro, J. A., & Ruiza, G. L. (2017). Guía metodológica para la zonificación de amenaza por movimientos en masa escala 1:25.000 (Imprenta Nacional de Colombia, Ed.). Servicio Geológico ColombianoScheidegger, A. E. (1973). On the Prediction of the Reach and Velocity of Catastrophic Landslides. In Rock Mechanics (Vol. 5, pp. 231–236)Scheidl, C., & Rickenmann, D. (2010). Empirical prediction of debris-flow mobility and deposition on fans. Earth Surface Processes and Landforms, 35(2), 157–173. https://doi.org/10.1002/esp.1897Schneider, D., Huggel, C., Haeberli, W., & Kaitna, R. (2011). Unraveling driving factors for large rock-ice avalanche mobility. Earth Surface Processes and Landforms, 36(14), 1948–1966. https://doi.org/10.1002/esp.2218SGC. (2015). Memoria explicativa mapa geomorfológico aplicado a movimientos en masa, escala 1:100.000, plancha 24-PichimáSGC. (2018). Conocimiento del territorio para el desarrollo del paísShreve, R. L. (1968). The Blackhawk landslide. Geological Society of America, 108, 1–47Siebert, L. (1984). Large volcanic debris avalanches: Characteristics of sources areas, deposits, and associated eruptions. Journal of Volcanology and Geothermal Research, 22, 163–197Skermer, N. A. (1985). Discussion of paper “Nature and mechanics of the Mount St Helens rockslide-avalanche of 18 May 1980.” Géotechnique, 35, 357–362Staron, L. (2008). Mobility of long-runout rock flows: A discrete numerical investigation. Geophysical Journal International, 172(1), 455–463. https://doi.org/10.1111/j.1365- 246X.2007.03631.xStaron, L., & Lajeunesse, E. (2009). Understanding how volume affects the mobility of dry debris flows. Geophysical Research Letters, 36(12). https://doi.org/10.1029/2009GL038229Strîmbu, B. (2011). Modeling the travel distances of debris flows and debris slides: quantifying hillside morphology. Ann. For. Res, 54(1), 119–134Strom, A., Li, L., & Lan, H. (2019). Rock avalanche mobility: optimal characterization and the effects of confinement. Landslides, 16(8), 1437–1452. https://doi.org/10.1007/s10346-019-01181-zTaylor, F. E., Malamud, B. D., Witt, A., & Guzzetti, F. (2018). Landslide shape, ellipticity and length-to-width ratios. Earth Surface Processes and Landforms, 43(15), 3164– 3189. https://doi.org/10.1002/esp.4479Thakur, V., Degago, S. A., Oset, F., Aabøe, R., Dolva, B. K., Aunaas, K., Nyheim, T., Lyche, E., Jensen, O. A., Sæter, M. B., Robsrud, A., Viklund, M., Nigussie, D., & L’Heureux, J. S. (2014). Characterization of post-failure movements of landslides in soft sensitive clays. In Advances in Natural and Technological Hazards Research (Vol. 36, pp. 91– 103). Springer Netherlands. https://doi.org/10.1007/978-94-007-7079-9_8Tian, Y., Xu, C., Chen, J., Zhou, Q., & Shen, L. (2017). Geometrical characteristics of earthquake-induced landslides and correlations with control factors: a case study of the 2013 Minxian, Gansu, China, Mw 5.9 event. Landslides, 14(6), 1915–1927. https://doi.org/10.1007/s10346-017-0835-6Toussaint, J.-F. (1993). Evolución geológica de Colombia: Precámbrico, Paleozoico, Volumen1 (Universidad Nacional de Colombia, Ed.)Toyos, G., Gunasekera, R., Zanchetta, G., Oppenheimer, C., Sulpizio, R., Favalli, M., & Pareschi, M. (2008). GIS-assisted modelling for debris flow hazard assessment based on the events of May 1998 in the area of Sarno, Southern Italy: II. Velocity and dynamic pressure. Earth Surf. Process. Landforms, 33, 1693–1708. https://doi.org/10.1002/esp1640Ui, T. (1983). Volcanic dry avalanche deposits-identification and comparison with nonvolcanic debris stream deposits. Journal of Volcanology and Geothermal Research, 18, 135–150Varnes, D. (1978). Slope movement types and processes. In Landslides—Investigation and mitigation: Transportation Research Board, Special report no. 176Vaunat, J., & Leroueil, S. (2002). Analysis of Post-Failure Slope Movements within the Framework of Hazard and Risk Analysis. Natural Hazards, 26, 83–109Voight, B., Janda, R. J., Glicken, H., & Douglass, P. M. (1983). Nature and mechanics of the Mount St Helens rockslide-avalanche of 18 May 1980. Géotechnique, 33, 243– 273Walpole, R., Myers, R., Myers, S., & Ye, K. (2012). Probabilidad y estadística para ingeniería y ciencias (9th ed.). Pearson Education, IncWaythomas, C., Miller, T., & Begér, J. (2000). Record of late holocene debris avalanches and lahars at Iliamna volcano, Alaska. Journal of Volcanology and Geothermal Research, 106, 97–130Whittall, J., Eberhardt, E., & McDougall, S. (2017). Runout analysis and mobility observations for large open pit slope failures. Canadian Geotechnical Journal, 54(3), 373–391. https://doi.org/10.1139/cgj-2016-0255Whittall, J. R. (2015). Runout exceedance prediction for open pit slope failures [Master Thesis, The University of British Columbia]. Institutional Repository – The University of British ColumbiaWhittall, J. R., McDougall, S., & Eberhardt, E. (2017). A risk-based methodology for establishing landslide exclusion zones in operating open pit mines. International Journal of Rock Mechanics and Mining Sciences, 100, 100–107. https://doi.org/10.1016/j.ijrmms.2017.10.012Wong, H. N., Lam, K. C., & Ho, K. K. S. (1998). Diagnostic Report on the November 1993 Natural Terrain Landslides on Lantau Island. GEO Report No. 69Xu, C., Shyu, J. B. H., & Xu, X. (2014). Landslides triggered by the 12 January 2010 Portau-Prince, Haiti, Mw = 7.0 earthquake: Visual interpretation, inventory compiling, and spatial distribution statistical analysis. Natural Hazards and Earth System Sciences, 14(7), 1789–1818. https://doi.org/10.5194/nhess-14-1789-2014Xu, Q., Li, H., He, Y., Liu, F., & Peng, D. (2019). Comparison of data-driven models of loess landslide runout distance estimation. Bulletin of Engineering Geology and the Environment, 78(2), 1281–1294. https://doi.org/10.1007/s10064-017-1176-3Yoshida, H., Sugai, T., & Ohmori, H. (2012). Size-distance relationships for hummocks on volcanic rockslide-debris avalanche deposits in Japan. Geomorphology, 136(1), 76– 87. https://doi.org/10.1016/j.geomorph.2011.04.044Yu, F. C., Chen, C. Y., Chen, T. C., Hung, F. Y., & Lin, S. C. (2006). A GIS process for delimitating areas potentially endangered by debris flow. Natural Hazards, 37, 169– 189. https://doi.org/10.1007/s11069-005-4666-8Zhan, W., Fan, X., Huang, R., Pei, X., Xu, Q., & Li, W. (2017). Empirical prediction for travel distance of channelized rock avalanches in the Wenchuan earthquake area. Natural Hazards and Earth System Sciences, 17(6), 833–844. https://doi.org/10.5194/nhess- 17-833-2017Zhang, M., & Yin, Y. (2013). Dynamics, mobility-controlling factors and transport mechanisms of rapid long-runout rock avalanches in China. Engineering Geology, 167, 37–58. https://doi.org/10.1016/j.enggeo.2013.10.010Zhang, S., Zhang, L. M., Chen, H. X., Yuan, Q., & Pan, H. (2013). Changes in runout distances of debris flows over time in the Wenchuan earthquake zone. Journal of Mountain Science, 10(2), 281–292. https://doi.org/10.1007/s11629-012-2506-yZhang, S., Zhang, L. M., Xiang, B., & Yuan, Q. (2013). Travel Distances of Earthquakeinduced Landslides. Geo-Congress 2013: Stability and Performance of Slopes and Embankments III, 991–1001. https://doi.org/10.1061/9780784412787.101Zhuang, J., Peng, J., Xu, C., Li, Z., Densmore, A., Milledge, D., Iqbal, J., & Cui, Y. (2018). Distribution and characteristics of loess landslides triggered by the 1920 Haiyuan Earthquake, Northwest of China. Geomorphology, 314, 1–12. https://doi.org/10.1016/j.geomorph.2018.04.012Zou, Z., Xiong, C., Tang, H., Criss, R. E., Su, A., & Liu, X. (2017). Prediction of landslide runout based on influencing factor analysis. Environmental Earth Sciences, 76(21). https://doi.org/10.1007/s12665-017-7075-xEstudiantesInvestigadoresMaestrosPersonal de apoyo escolarPúblico generalORIGINAL1089847157.2022.pdf1089847157.2022.pdfTesis de Maestría en Ingeniería - Geotecniaapplication/pdf7547383https://repositorio.unal.edu.co/bitstream/unal/80825/8/1089847157.2022.pdfc6b9679c35a0e80ce1e2a18359fce76aMD58Anexo A. Datos de deslizamientos.xlsxAnexo A. 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