Análise da influência da distribuição da chuva e do relevo no desencadeamento de escorregamentos por meio da compartimentação fisiográfica

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidad del Norte
dc.contributorCEMADEN
dc.date.accessioned2020-12-12T01:41:47Z
dc.date.accessioned2022-12-19T20:53:34Z
dc.date.available2020-12-12T01:41:47Z
dc.date.available2022-12-19T20:53:34Z
dc.date.created2020-12-12T01:41:47Z
dc.date.issued2019-01-01
dc.identifierAnuario do Instituto de Geociencias, v. 42, n. 2, p. 407-420, 2019.
dc.identifier1982-3908
dc.identifier0101-9759
dc.identifierhttp://hdl.handle.net/11449/199508
dc.identifier10.11137/2019_2_407_420
dc.identifier2-s2.0-85073444959
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5380142
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.
dc.languageeng
dc.relationAnuario 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 compartmentalisation
dc.titleAnálise da influência da distribuição da chuva e do relevo no desencadeamento de escorregamentos por meio da compartimentação fisiográfica
dc.typeArtículos de revistas


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