Shallow landslide prediction and analysis with risk assessment using a spatial model in a coastal region in the state of Sao Paulo, Brazil

Autor(es)

Camarinha, P. I. M. ^[1] ; Canavesi, V. ^[1] ; Alvala, R. C. S. ^[2]

Afiliação do(s) autor(es)

^[1] Natl Inst Space Res, Sao Jose Dos Campos - Brazil

^[2] Brazilian Ctr Monitoring & Warnings Nat Disasters, Cachoeira Paulista - Brazil

• Tipo de documento: Artigo Científico
• Fonte: NATURAL HAZARDS AND EARTH SYSTEM SCIENCES; v. 14, n. 9, p. 2449-2468, 2014.
• Citações Web of Science: 3

Resumo

This study presents a methodology for susceptibility mapping of shallow landslides just from data and software from the public domain. The study was conducted in a mountainous region located on the southeastern Brazilian coast, in the state of Sao Paulo. The proposal is that the methodology can be replicated in a practical and reliable way in several other municipalities that do not have such mappings and that often suffer from landslide-related disasters. The susceptibility mapping was generated based on the following maps: geological, soils, slope, horizontal and vertical curvatures, and land use. The thematic classes of these maps were weighted according to technical and scientific criteria related to the triggering of landslides, and were crossed by the fuzzy gamma technique. The mapping was compared with the risk sector survey made by the Brazilian Geological Survey (CPRM), which is the official database used by municipalities and civil defense in risk management. The results showed positive correlations, so that the critical risk sectors had higher proportions for the more susceptible classes. To compare the approach with other studies using landslide-scar maps, correlated indices were evaluated, which also showed satisfactory results, thus indicating that the methodology presented is appropriate for risk assessment in urban areas. (AU)

• Processo FAPESP: 08/58161-1 - Assessment of impacts and vulnerability to climate change in Brazil and strategies for adaptation option
• Beneficiário: Jose Antonio Marengo Orsini
• Modalidade de apoio: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático