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Research Article | Open Access

Landslide susceptibility mapping based on rainfall scenarios: a case study from Sao Paulo in Brazil

Leila Maria Ramos1( )Thiago Bazzan2Mariana Ferreira Benessiuti Motta1George de Paula Bernardes1Heraldo Luiz Giacheti3
Department of Civil Engineering, UNESP, Guaratinguetá, SP, Brazil
Earth Observation and Geoinformatics Division, National Institute for Space Research, São José dos Campos, São Paulo, Brazil
Department of Civil and Environmental Engineering, UNESP, Bauru, SP, Brazil
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Abstract

Mass movement susceptibility mapping from rainfall data and in situ site characterization constitute an important approach for preventing geological-geotechnical accidents on railroads and highways. A comprehensive site characterization program was conducted to identify slopes with mass movements along the 44 km of SP-171 road in the state of S o Paulo, Brazil. Ninety-two slopes with some degree of instability were found along this section of the road, including rupture scars, active erosive processes and the presence of unstable rock blocks. Two scenarios for mass movement susceptibility (100 mm and 500 mm of accumulated rainfall) were defined by overlaying thematic maps of relief, soil type, geology, accumulated rainfall and declivity using geographic information system-based techniques. The results for both scenarios identified the regions with high and medium susceptibility to mass movements; for the scenario of 100 mm of accumulated rainfall; we found that 27% and 73% of the land area of SP-171 is respectively highly and moderately susceptible to landslide events. For the scenario of 500 mm, we found 58% and 40% to be highly and moderately susceptible areas. This study also allowed us to identify the main geotechnical problems along the 44 km of this road, and thus can be used to guide actions and decisions to avoid or minimize such problems.

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AIMS Geosciences
Pages 438-451

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Cite this article:
Ramos LM, Bazzan T, Motta MFB, et al. Landslide susceptibility mapping based on rainfall scenarios: a case study from Sao Paulo in Brazil. AIMS Geosciences, 2022, 8(3): 438-451. https://doi.org/10.3934/geosci.2022024

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Received: 05 March 2022
Revised: 09 June 2022
Accepted: 22 June 2022
Published: 15 September 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)