Probabilistic Cascade Modeling for Enhanced Flood and Landslide Hazard Assessment: Integrating Multi-Model Approaches in the La Liboriana River Basin

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dc.contributor.affiliationVega J., Faculty of Engineering, Civil Engineering Program, Universidad de Medellín, Medellín, 050026, Colombia
dc.contributor.affiliationOrtiz-Giraldo L., Faculty of Engineering, Civil Engineering Program, Universidad de Medellín, Medellín, 050026, Colombia
dc.contributor.affiliationBotero B.A., Faculty of Engineering, Civil Engineering Program, Universidad de Medellín, Medellín, 050026, Colombia
dc.contributor.affiliationHidalgo C., Faculty of Engineering, Civil Engineering Program, Universidad de Medellín, Medellín, 050026, Colombia
dc.contributor.affiliationParra J.C., Faculty of Civil Engineering, Politécnico Colombiano Jaime Isaza Cadavid, Medellín, 050022, Colombia
dc.contributor.authorVega J.
dc.contributor.authorOrtiz-Giraldo L.
dc.contributor.authorBotero B.A.
dc.contributor.authorHidalgo C.
dc.contributor.authorParra J.C.
dc.date.accessioned2024-12-27T20:52:02Z
dc.date.available2024-12-27T20:52:02Z
dc.date.issued2024
dc.descriptionExtreme rainfall events in Andean basins frequently trigger landslides, obstructing river channels and causing flash flows, loss of lives, and economic damage. This study focused on improving the modeling of these events to enhance risk management, specifically in the La Liboriana basin in Salgar (Colombia). A cascading modeling methodology was developed, integrating the spatially distributed rainfall intensities, hazard zoning with the SLIDE model, propagation modeling with RAMMS using calibrated soil rheological parameters, the distributed hydrological model TETIS, and flood mapping with IBER. Return periods of 2.33, 5, 10, 25, 50, and 100 years were defined and applied throughout the methodology. A specific extreme event (18 May 2015) was modeled for calibration and comparison. The spatial rainfall intensities indicated maximum concentrations in the northwestern upper basin and southeastern lower basin. Six landslide hazard maps were generated, predicting landslide-prone areas with a slightly above random prediction rate for the 2015 event. The RAMMS debris flow modeling involved 30 simulations, indicating significant deposition within the river channel and modifying the terrain. Hydraulic modeling with the IBER model revealed water heights ranging from 0.23 to 7 m and velocities from 0.34 m/s to 6.98 m/s, with urban areas showing higher values, indicating increased erosion and infrastructure damage potential. © 2024 by the authors.
dc.identifier.doi10.3390/w16172404
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.issn20734441
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.urihttp://hdl.handle.net/11407/8700
dc.language.isoeng
dc.publisher.facultyFacultad de Ingenieríasspa
dc.publisher.programIngeniería Civilspa
dc.relation.citationissue17
dc.relation.citationvolume16
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85203862340&doi=10.3390%2fw16172404&partnerID=40&md5=77efaf4e4e6684982475f0109b86f062
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dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceWater (Switzerland)
dc.sourceWater
dc.sourceScopus
dc.subjectColombiaeng
dc.subjectDebris floweng
dc.subjectIBEReng
dc.subjectLandslideeng
dc.subjectRAMMSeng
dc.subjectSLIDE modeleng
dc.subjectTorrential floodeng
dc.subjectColombiaeng
dc.subjectBanks (bodies of water)eng
dc.subjectDigital elevation modeleng
dc.subjectFlood damageeng
dc.subjectHydraulic modelseng
dc.subjectLandslideseng
dc.subjectLanthanum alloyseng
dc.subjectRaineng
dc.subjectRisk assessmenteng
dc.subjectRiverseng
dc.subjectWatershedseng
dc.subjectCascade modelingeng
dc.subjectColombiaeng
dc.subjectDebris flowseng
dc.subjectIBEReng
dc.subjectProbabilisticseng
dc.subjectRainfall intensityeng
dc.subjectRAMMSeng
dc.subjectRiver channelseng
dc.subjectSLIDE modeleng
dc.subjectTorrential floodeng
dc.subjectdebris floweng
dc.subjectextreme eventeng
dc.subjectflow modelingeng
dc.subjecthazard assessmenteng
dc.subjecthydrological modelingeng
dc.subjectlandslideeng
dc.subjectprecipitation intensityeng
dc.subjectrainfalleng
dc.subjectriver channeleng
dc.subjectRisk managementeng
dc.titleProbabilistic Cascade Modeling for Enhanced Flood and Landslide Hazard Assessment: Integrating Multi-Model Approaches in the La Liboriana River Basineng
dc.typeArticle
dc.type.localArtículo de revistaspa
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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