Landslide risk assessment considering socionatural factors: methodology and application to Cubatão municipality, São Paulo, Brazil

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorHader, Paulo Rodolpho Pereira-
Autor(es): dc.creatorReis, Fábio Augusto Gomes Vieira-
Autor(es): dc.creatorPeixoto, Anna Silvia Palcheco-
Data de aceite: dc.date.accessioned2025-08-21T18:03:45Z-
Data de disponibilização: dc.date.available2025-08-21T18:03:45Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s11069-021-04991-4-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/233455-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/233455-
Descrição: dc.descriptionThe manuscript presents a methodology to integrate spatial information of susceptibility, vulnerability and rainfall thresholds to produce a dynamic landslide risk map. The inputs were combined in two matrices: combining susceptibility and vulnerability classes, constituting the socionatural criteria (SN); SN classes and rainfall thresholds (T) were coupled to determine the risk (R). The method was applied to the municipality of Cubatão (142,281 km2), state of São Paulo (Brazil), where there is an extensive landslide history, high rainfall rates, and communities living on hillsides. The susceptibility model was prepared using the Random Forest algorithm. Social vulnerability was based on socioeconomic and demographic indicators. Rainfall thresholds were generated by three approaches: intensity-duration (ID), rainfall event-duration (ED), and antecedent accumulated rainfall (A). Thus, each product was reclassified and entered into both 5 × 5 size matrices. The methodology results in an estimate of location and trigger rainfall thresholds of landslide events. In addition, the model offers three main advantages: easy adaptation and calibration as new data emerges; identification of deficiencies in public policies for certain groups of people with critical SN, allowing interventions to reduce vulnerability; a dynamic map that allows a real-time automation process in the case of weather forecasts, facilitating the concentration of efforts in specific areas. In conclusion, the method is a useful risk mitigation tool, through the development of the landslide early warning system and associated public policies, with potential for replication elsewhere.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionSchool of Engineering Department of Civil and Environmental Engineering São Paulo State University (UNESP)-
Descrição: dc.descriptionInstitute of Natural Sciences and Technology São Paulo State University (UNESP)-
Descrição: dc.descriptionSchool of Engineering Department of Civil and Environmental Engineering São Paulo State University (UNESP)-
Descrição: dc.descriptionInstitute of Natural Sciences and Technology São Paulo State University (UNESP)-
Descrição: dc.descriptionCAPES: 88887.464786/2019-00-
Formato: dc.format1273-1304-
Idioma: dc.languageen-
Relação: dc.relationNatural Hazards-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectLandslide susceptibility-
Palavras-chave: dc.subjectRainfall thresholds-
Palavras-chave: dc.subjectRandom forest-
Palavras-chave: dc.subjectRisk assessment-
Palavras-chave: dc.subjectSocial vulnerability-
Palavras-chave: dc.subjectSocionatural-
Título: dc.titleLandslide risk assessment considering socionatural factors: methodology and application to Cubatão municipality, São Paulo, Brazil-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.