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

dc.contributor.authorAmaral, Gabriel Corrêa
dc.contributor.authorFerreira, Adriano Mota [UNESP]
dc.contributor.authorSardinha, Diego de Souza
dc.contributor.authorMenezes, Paulo Henrique Bretanha Junker
dc.contributor.authorMarchezini, Victor
dc.contributor.authorTiezzi, Rafael de Oliveira
dc.contributor.institutionFederal University of Alfenas (UNIFAL)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionCemaden (National Center for Monitoring and Early Warning of Natural Disasters)
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversity of Colorado Boulder
dc.date.accessioned2025-04-29T20:14:56Z
dc.date.issued2023-03-01
dc.description.abstractThe 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.en
dc.description.affiliationInstitute of Science and Technology Federal University of Alfenas (UNIFAL), MG
dc.description.affiliationGraduate Program on Disaster Science Institute of Science and Technology São Paulo State University (UNESP), SP
dc.description.affiliationCemaden (National Center for Monitoring and Early Warning of Natural Disasters), SP
dc.description.affiliationFederal University of São Carlos (UFScar) Nature Science Center, SP
dc.description.affiliationNatural Hazards Center Institute of Behavioral Science University of Colorado Boulder
dc.description.affiliationUnespGraduate Program on Disaster Science Institute of Science and Technology São Paulo State University (UNESP), SP
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.format.extent89-96
dc.identifierhttp://dx.doi.org/10.1016/j.nhres.2023.01.004
dc.identifier.citationNatural Hazards Research, v. 3, n. 1, p. 89-96, 2023.
dc.identifier.doi10.1016/j.nhres.2023.01.004
dc.identifier.issn2666-5921
dc.identifier.scopus2-s2.0-85163888421
dc.identifier.urihttps://hdl.handle.net/11449/309250
dc.language.isoeng
dc.relation.ispartofNatural Hazards Research
dc.sourceScopus
dc.subjectCities
dc.subjectDisaster risk reduction
dc.subjectFires
dc.subjectFlooding
dc.subjectLandslides
dc.subjectStorms
dc.titleOfficial and unofficial data supporting disaster risk management in medium-sized citiesen
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0000-0001-5075-8918[1]
unesp.author.orcid0000-0003-2885-000X[2]
unesp.author.orcid0000-0002-5763-0535[3]
unesp.author.orcid0000-0002-4702-9869[4]
unesp.author.orcid0000-0002-1974-0960 0000-0002-1974-0960[5]
unesp.author.orcid0000-0001-8682-7807 0000-0001-8682-7807[6]

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