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Assessment of the influence of rainfall and landform on landslide initiation using physiographic compartmentalisation

dc.contributor.authorCabral, Victor Carvalho [UNESP]
dc.contributor.authorReis, Fábio Augusto Gomes Vieira [UNESP]
dc.contributor.authorVeloso, Vinicius [UNESP]
dc.contributor.authorCorrea, Claudia Vanessa Santos
dc.contributor.authorMendoza, Carolina Martinez
dc.contributor.authorAlmeida, Natália Rafaela [UNESP]
dc.contributor.authorGiordano, Lucilia Do Carmo [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidad del Norte
dc.contributor.institutionCEMADEN
dc.date.accessioned2020-12-12T01:41:47Z
dc.date.available2020-12-12T01:41:47Z
dc.date.issued2019-01-01
dc.description.abstractPhysiographic compartmentalisation emerges as an important instrument in urban planning and risk assessment of mountainous areas, identifying regions where natural erosive processes are more likely to occur based on landform features. The Serra do Mar escarpments are naturally prone to landslide occurrences, due to its landform characteristics and climate, and studies that correlate triggering (rainfall) with controlling (landform) factors are fundamental in the development of urban planning and risk assessment programmes. In this context, this study aims to assess the landslide susceptibility of the Perequê and Mogi River watersheds, in Cubatão (São Paulo), by compartmentalising the study area considering its physiographic features and discussing the role of rainfall and landform on landslide initiation, according to the 1985 and 1994’s landslide events. Physiographic units were separated based on aerial photographs, following geomorphometric criteria such as water bodies and landform elements density, amplitude and slope. Rainfall distribution was based on pluviometric data from five rain gauges that cover the area. Six units were identified, as a result, and those at the northern slope of the Mogi River exhibit higher susceptibility to triggering landslides. This higher susceptibility can be attributed to steep slopes and thin soils, anthropic activities and, especially, rainfall concentration. Physiographic compartmentalisation, therefore, is an important auxiliary tool providing groundwork for more detailed studies in finer scales.en
dc.description.affiliationUniversidade Estadual Paulista “Júlio de Mesquita Filho” UNESP Instituto de Geociências e Ciências Exatas Departamento de Geologia Aplicada, Av. 24A, 1555
dc.description.affiliationUniversidad del Norte Departamento de Física e Geociências, Km 5 via Puerto Colombia
dc.description.affiliationCentro Nacional de Monitoramento e Alertas de Desastres Naturais CEMADEN, Estrada Dr. Altino Bondensan, 500
dc.description.affiliationUnespUniversidade Estadual Paulista “Júlio de Mesquita Filho” UNESP Instituto de Geociências e Ciências Exatas Departamento de Geologia Aplicada, Av. 24A, 1555
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação para o Desenvolvimento da UNESP (FUNDUNESP)
dc.description.sponsorshipUniversidade Estadual Paulista
dc.format.extent407-420
dc.identifierhttp://dx.doi.org/10.11137/2019_2_407_420
dc.identifier.citationAnuario do Instituto de Geociencias, v. 42, n. 2, p. 407-420, 2019.
dc.identifier.doi10.11137/2019_2_407_420
dc.identifier.issn1982-3908
dc.identifier.issn0101-9759
dc.identifier.scopus2-s2.0-85073444959
dc.identifier.urihttp://hdl.handle.net/11449/199508
dc.language.isoeng
dc.relation.ispartofAnuario do Instituto de Geociencias
dc.sourceScopus
dc.subjectMass movements
dc.subjectPhysiographic compartmentalisation
dc.subjectRainfall distribution
dc.subjectSerra do Mar
dc.subjectShallow landslides
dc.titleAssessment of the influence of rainfall and landform on landslide initiation using physiographic compartmentalisationen
dc.titleAnálise da influência da distribuição da chuva e do relevo no desencadeamento de escorregamentos por meio da compartimentação fisiográficapt
dc.typeArtigo
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claropt
unesp.departmentGeologia Aplicada - IGCEpt

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