%0 Journal Article
%4 sid.inpe.br/mtc-m21d/2024/05.02.13.13
%2 sid.inpe.br/mtc-m21d/2024/05.02.13.13.35
%@doi 10.3390/su16072999
%@issn 2071-1050
%T Flood Risk Mapping during the Extreme February 2021 Flood in the Juruá River, Western Brazilian Amazonia, State of Acre
%D 2024
%8 Apr.
%9 journal article
%A Mantovani, José,
%A Alcântara, Enner,
%A Marengo, José Antonio,
%A Londe, Luciana,
%A Park, Edward,
%A Cunha, Ana Paula,
%A Tomasella, Javier,
%@affiliation Universidade Estadual Paulista (UNESP)
%@affiliation Universidade Estadual Paulista (UNESP)
%@affiliation Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
%@affiliation Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
%@affiliation Nanyang Technological University (NTU)
%@affiliation Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress j.mantovani@unesp.br
%@electronicmailaddress enner.alcantara@unesp.br
%@electronicmailaddress jose.marengo@cemaden.gov.br
%@electronicmailaddress luciana.londe@cemaden.gov.br
%@electronicmailaddress edward.park@nie.edu.sg
%@electronicmailaddress ana.cunha@cemaden.gov.br
%@electronicmailaddress javier.tomasella@inpe.br
%B Sustainability
%V 16
%N 7
%P e2999
%K natural hazards, floods, remote sensing, environmental modeling, Brazil.
%X Cruzeiro do Sul, a municipality in Northwestern Brazil is recurrently impacted by floods, particularly along the Jurua 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 Nina events. Some vulnerable urban neighborhoods were identified: Vila Cruzeirinho, Centro, Miritizal, and Da Varzea. 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.
%@language en
%3 sustainability-16-02999-v3.pdf