Official and unofficial data supporting disaster risk management in medium-sized cities

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorFederal University of Alfenas (UNIFAL)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorCemaden (National Center for Monitoring and Early Warning of Natural Disasters)-
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.contributorUniversity of Colorado Boulder-
Autor(es): dc.creatorAmaral, Gabriel Corrêa-
Autor(es): dc.creatorFerreira, Adriano Mota-
Autor(es): dc.creatorSardinha, Diego de Souza-
Autor(es): dc.creatorMenezes, Paulo Henrique Bretanha Junker-
Autor(es): dc.creatorMarchezini, Victor-
Autor(es): dc.creatorTiezzi, Rafael de Oliveira-
Data de aceite: dc.date.accessioned2025-08-21T16:50:26Z-
Data de disponibilização: dc.date.available2025-08-21T16:50:26Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-03-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.nhres.2023.01.004-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/309250-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/309250-
Descrição: dc.descriptionThe disaster database enables managers to support prevention, preparedness, and mitigation actions, especially in Latin American countries, where disaster risk data are scarce. This article surveys and analyses a database of disasters in a medium-sized municipality, using official (civil defense) and unofficial (documentary research) sources. The methodology was based on data collection between 1970 and 2021, being classified according to the Brazilian Disaster Codification (COBRADE) and subsequent spatialization of information. The results indicated that 71% of the hazard events were registered in the “natural group” (NG), mainly related to heavy rainfall, and 29% in the “technological group” (TG), mostly associated with urban fires. Based on spatial analysis, 20 locations (“hotspots”) with the largest occurrences were identified, representing approximately 64.30% of (NG) total records. The city's central zone was the location with the highest number of occurrences (133), followed by Jardim Kennedy (64), in the South zone, and Serra São Domingos (53), in the North. The methodology developed is an important tool to support urban planning and disaster risk management in medium-sized cities.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)-
Descrição: dc.descriptionInstitute of Science and Technology Federal University of Alfenas (UNIFAL), MG-
Descrição: dc.descriptionGraduate Program on Disaster Science Institute of Science and Technology São Paulo State University (UNESP), SP-
Descrição: dc.descriptionCemaden (National Center for Monitoring and Early Warning of Natural Disasters), SP-
Descrição: dc.descriptionFederal University of São Carlos (UFScar) Nature Science Center, SP-
Descrição: dc.descriptionNatural Hazards Center Institute of Behavioral Science University of Colorado Boulder-
Descrição: dc.descriptionGraduate Program on Disaster Science Institute of Science and Technology São Paulo State University (UNESP), SP-
Formato: dc.format89-96-
Idioma: dc.languageen-
Relação: dc.relationNatural Hazards Research-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCities-
Palavras-chave: dc.subjectDisaster risk reduction-
Palavras-chave: dc.subjectFires-
Palavras-chave: dc.subjectFlooding-
Palavras-chave: dc.subjectLandslides-
Palavras-chave: dc.subjectStorms-
Título: dc.titleOfficial and unofficial data supporting disaster risk management in medium-sized cities-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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