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Numerical modeling of a high magnitude debris-flow event occurred in Brazil

dc.contributor.authordos Santos Corrêa, Claudia Vanessa [UNESP]
dc.contributor.authorReis, Fábio Augusto Gomes Vieira [UNESP]
dc.contributor.authordo Carmo Giordano, Lucília [UNESP]
dc.contributor.authorCabral, Victor Carvalho [UNESP]
dc.contributor.authorVeloso, Vinícius Queiroz [UNESP]
dc.contributor.authorD’Affonseca, Fernando Mazo
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionFMD Geologia Aplicada
dc.date.accessioned2025-04-29T18:38:07Z
dc.date.issued2024-11-01
dc.description.abstractDebris flows are rapid downslope, gravity-driven movements of highly viscous, dense and concentrated/hyperconcentrated fluid materials. In Brazil, the most susceptible area to this type of mass movement comprises the oriented foothills of Serra do Mar. Several numerical modeling approaches have been created to measure, identify, predict, and monitor debris-flow processes, for example, RAMMS (Rapid mass movement simulation), a single-phase numerical model that simulates the propagation of debris flow using the Voelmy rheology. In this work, the RAMMS code is applied to model the debris-flow event that occurred in 1967 in Caraguatatuba County (State of Sao Paulo). Induced by heavy rains, this debris-flow event is one of highest magnitude recorded in Brazil, with more than 100 deaths and major socioeconomic and environmental impacts. Studies involving debris-flow modeling are still recent in Brazil, and they are relevant because can be applied to support the delineation of the affected area and the understanding of the dynamics of these phenomena. Thus, back-analysis studies are applied to assist the model setup and the results evaluations. Field observations and the back-analysis studies showed that the debris-flow processes in the Serra do Mar region are strictly granular, which helped the modeling step, and the debris are preferentially deposited in regions with low slopes (< 5°). The model results can be used to support political and engineering actions aimed at mitigating the effects of future events.en
dc.description.affiliationInstitute of Geosciences and Exact Sciences (IGCE)/Center of Applied Natural Sciences (UNESPetro) São Paulo State University (UNESP), SP
dc.description.affiliationInstitute of Geosciences and Exact Sciences (IGCE)/Center of Applied Natural Sciences (UNESPetro) and Department of Environmental Engineering (DEA) São Paulo State University (UNESP), SP
dc.description.affiliationInstitute of Geosciences and Exact Sciences (IGCE) Center of Applied Natural Sciences São Paulo State University (UNESP), SP
dc.description.affiliationInstitute of Geosciences and Exact Sciences (IGCE) Postgraduate Program in Geosciences and Environment São Paulo State University (UNESP), SP
dc.description.affiliationFMD Geologia Aplicada, SP
dc.description.affiliationUnespInstitute of Geosciences and Exact Sciences (IGCE)/Center of Applied Natural Sciences (UNESPetro) São Paulo State University (UNESP), SP
dc.description.affiliationUnespInstitute of Geosciences and Exact Sciences (IGCE)/Center of Applied Natural Sciences (UNESPetro) and Department of Environmental Engineering (DEA) São Paulo State University (UNESP), SP
dc.description.affiliationUnespInstitute of Geosciences and Exact Sciences (IGCE) Center of Applied Natural Sciences São Paulo State University (UNESP), SP
dc.description.affiliationUnespInstitute of Geosciences and Exact Sciences (IGCE) Postgraduate Program in Geosciences and Environment São Paulo State University (UNESP), SP
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 316574/2021-0
dc.format.extent13077-13107
dc.identifierhttp://dx.doi.org/10.1007/s11069-024-06728-5
dc.identifier.citationNatural Hazards, v. 120, n. 14, p. 13077-13107, 2024.
dc.identifier.doi10.1007/s11069-024-06728-5
dc.identifier.issn1573-0840
dc.identifier.issn0921-030X
dc.identifier.scopus2-s2.0-85195847243
dc.identifier.urihttps://hdl.handle.net/11449/298771
dc.language.isoeng
dc.relation.ispartofNatural Hazards
dc.sourceScopus
dc.subjectBack-analysis studies
dc.subjectDebris flow
dc.subjectRAMMS
dc.subjectSerra do Mar
dc.titleNumerical modeling of a high magnitude debris-flow event occurred in Brazilen
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0000-0003-2524-8443[1]
unesp.author.orcid0000-0003-3918-6861[2]
unesp.author.orcid0000-0002-1302-6694[3]
unesp.author.orcid0000-0002-9910-0508[4]
unesp.author.orcid0000-0002-8387-0217[5]
unesp.author.orcid0000-0001-9780-4272[6]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claropt

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