Flood Risk Mapping during the Extreme February 2021 Flood in the Juruá River, Western Brazilian Amazonia, State of Acre
| dc.contributor.author | Mantovani, José [UNESP] | |
| dc.contributor.author | Alcântara, Enner [UNESP] | |
| dc.contributor.author | Marengo, José A. [UNESP] | |
| dc.contributor.author | Londe, Luciana [UNESP] | |
| dc.contributor.author | Park, Edward | |
| dc.contributor.author | Cunha, Ana Paula [UNESP] | |
| dc.contributor.author | Tomasella, Javier [UNESP] | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.contributor.institution | National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN) | |
| dc.contributor.institution | Nanyang Technological University (NTU | |
| dc.contributor.institution | National Institute for Space Research (INPE) | |
| dc.date.accessioned | 2025-04-29T18:41:22Z | |
| dc.date.issued | 2024-04-01 | |
| dc.description.abstract | Cruzeiro 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.affiliation | Institute of Science and Technology São Paulo State University (Unesp), São José Dos Campos, SP | |
| dc.description.affiliation | Graduate Program in Natural Disasters (Unesp/CEMADEN), São José Dos Campos 12247-004, SP | |
| dc.description.affiliation | National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José Dos Campos 12247-016, SP | |
| dc.description.affiliation | National Institute of Education Earth Observatory of Singapore and Asian School of the Environment Nanyang Technological University (NTU | |
| dc.description.affiliation | National Institute for Space Research (INPE), Cachoeira Paulista, SP | |
| dc.description.affiliationUnesp | Institute of Science and Technology São Paulo State University (Unesp), São José Dos Campos, SP | |
| dc.description.affiliationUnesp | Graduate Program in Natural Disasters (Unesp/CEMADEN), São José Dos Campos 12247-004, SP | |
| dc.identifier | http://dx.doi.org/10.3390/su16072999 | |
| dc.identifier.citation | Sustainability (Switzerland), v. 16, n. 7, 2024. | |
| dc.identifier.doi | 10.3390/su16072999 | |
| dc.identifier.issn | 2071-1050 | |
| dc.identifier.scopus | 2-s2.0-85190266516 | |
| dc.identifier.uri | https://hdl.handle.net/11449/299098 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Sustainability (Switzerland) | |
| dc.source | Scopus | |
| dc.subject | Brazil | |
| dc.subject | environmental modeling | |
| dc.subject | floods | |
| dc.subject | natural hazards | |
| dc.subject | remote sensing | |
| dc.title | Flood Risk Mapping during the Extreme February 2021 Flood in the Juruá River, Western Brazilian Amazonia, State of Acre | en |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication | |
| unesp.author.orcid | 0000-0002-7051-5304[1] | |
| unesp.author.orcid | 0000-0002-7777-2119[2] | |
| unesp.author.orcid | 0000-0001-8578-7639[3] | |
| unesp.author.orcid | 0000-0002-6494-0486[4] | |
| unesp.author.orcid | 0000-0002-1299-1724[5] | |
| unesp.author.orcid | 0000-0002-9924-6523[6] | |
| unesp.author.orcid | 0000-0003-2597-8833[7] | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, São José dos Campos | pt |

