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Flood Risk Mapping during the Extreme February 2021 Flood in the Juruá River, Western Brazilian Amazonia, State of Acre

dc.contributor.authorMantovani, José [UNESP]
dc.contributor.authorAlcântara, Enner [UNESP]
dc.contributor.authorMarengo, José A. [UNESP]
dc.contributor.authorLonde, Luciana [UNESP]
dc.contributor.authorPark, Edward
dc.contributor.authorCunha, Ana Paula [UNESP]
dc.contributor.authorTomasella, Javier [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionNational Center for Monitoring and Early Warning of Natural Disasters (CEMADEN)
dc.contributor.institutionNanyang Technological University (NTU
dc.contributor.institutionNational Institute for Space Research (INPE)
dc.date.accessioned2025-04-29T18:41:22Z
dc.date.issued2024-04-01
dc.description.abstractCruzeiro do Sul, a municipality in Northwestern Brazil is recurrently impacted by floods, particularly along the Juruá River. This study presents a comprehensive flood risk analysis by integrating geoprocessing, remote sensing, and hydraulic modeling techniques. Our objectives are to simulate flood extents, identify high-risk areas, and guide sustainable territorial management. Our findings illustrate that the flood impacts are distributed across urban (27%), agricultural (55%), and forest/grassland (17%) landscapes. Historical records and literature reviews also underscore a recurring pattern of extreme floods in the municipality, notably during February’s La Niña events. Some vulnerable urban neighborhoods were identified: Vila Cruzeirinho, Centro, Miritizal, and Da Várzea. These areas are especially susceptible due to their proximity to the river and increased surface runoff during high flood events. By amalgamating various data sources and methods, this research aids decision making for flood mitigation and urban development, fostering resilience against recurrent flooding events in Cruzeiro do Sul.en
dc.description.affiliationInstitute of Science and Technology São Paulo State University (Unesp), São José Dos Campos, SP
dc.description.affiliationGraduate Program in Natural Disasters (Unesp/CEMADEN), São José Dos Campos 12247-004, SP
dc.description.affiliationNational Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José Dos Campos 12247-016, SP
dc.description.affiliationNational Institute of Education Earth Observatory of Singapore and Asian School of the Environment Nanyang Technological University (NTU
dc.description.affiliationNational Institute for Space Research (INPE), Cachoeira Paulista, SP
dc.description.affiliationUnespInstitute of Science and Technology São Paulo State University (Unesp), São José Dos Campos, SP
dc.description.affiliationUnespGraduate Program in Natural Disasters (Unesp/CEMADEN), São José Dos Campos 12247-004, SP
dc.identifierhttp://dx.doi.org/10.3390/su16072999
dc.identifier.citationSustainability (Switzerland), v. 16, n. 7, 2024.
dc.identifier.doi10.3390/su16072999
dc.identifier.issn2071-1050
dc.identifier.scopus2-s2.0-85190266516
dc.identifier.urihttps://hdl.handle.net/11449/299098
dc.language.isoeng
dc.relation.ispartofSustainability (Switzerland)
dc.sourceScopus
dc.subjectBrazil
dc.subjectenvironmental modeling
dc.subjectfloods
dc.subjectnatural hazards
dc.subjectremote sensing
dc.titleFlood Risk Mapping during the Extreme February 2021 Flood in the Juruá River, Western Brazilian Amazonia, State of Acreen
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0000-0002-7051-5304[1]
unesp.author.orcid0000-0002-7777-2119[2]
unesp.author.orcid0000-0001-8578-7639[3]
unesp.author.orcid0000-0002-6494-0486[4]
unesp.author.orcid0000-0002-1299-1724[5]
unesp.author.orcid0000-0002-9924-6523[6]
unesp.author.orcid0000-0003-2597-8833[7]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, São José dos Campospt

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