@Article{MantovaniAlMaLoPaCuTo:2024:FlRiMa,
               author = "Mantovani, Jos{\'e} and Alc{\^a}ntara, Enner and Marengo, 
                         Jos{\'e} Antonio and Londe, Luciana and Park, Edward and Cunha, 
                         Ana Paula and Tomasella, Javier",
          affiliation = "{Universidade Estadual Paulista (UNESP)} and {Universidade 
                         Estadual Paulista (UNESP)} and {Centro Nacional de Monitoramento e 
                         Alertas de Desastres Naturais (CEMADEN)} and {Centro Nacional de 
                         Monitoramento e Alertas de Desastres Naturais (CEMADEN)} and 
                         {Nanyang Technological University (NTU)} and {Centro Nacional de 
                         Monitoramento e Alertas de Desastres Naturais (CEMADEN)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Flood Risk Mapping during the Extreme February 2021 Flood in the 
                         Juru{\'a} River, Western Brazilian Amazonia, State of Acre",
              journal = "Sustainability",
                 year = "2024",
               volume = "16",
               number = "7",
                pages = "e2999",
                month = "Apr.",
             keywords = "natural hazards, floods, remote sensing, environmental modeling, 
                         Brazil.",
             abstract = "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.",
                  doi = "10.3390/su16072999",
                  url = "http://dx.doi.org/10.3390/su16072999",
                 issn = "2071-1050",
             language = "en",
           targetfile = "sustainability-16-02999-v3.pdf",
        urlaccessdate = "2024, May 17"
}