Hydrodynamic Modeling in the Determination of Extreme Flow Events in the Lower São Francisco River
DOI:
https://doi.org/10.26848/rbgf.v19.02.p702-7012.Keywords:
PortuguêsAbstract
Extreme flow events in the Baixo São Francisco (BSF), often associated with the operation of the dam complex, pose a growing threat due to intense occupation of the floodplains. This study applied one-dimensional hydrodynamic modeling (HEC-RAS), coupled with a 10m Digital Elevation Model (DEM) generated from ALOS PALSAR images, to map areas susceptible to flooding under different flow scenarios (from 1,400 to 9,000 m³ s⁻¹). Frequency analysis, using historical data from four streamflow gauges, indicated the Gumbel distribution as the most suitable for estimating extreme flows, with a maximum flow of 9,107 m³ s⁻¹ associated with a 100-year return period. The results revealed a heterogeneous pattern of vulnerability along the studied stretch. The municipalities of Propriá/Telha (Area 1) stood out as the main risk hotspot, with significant flooding reaching the consolidated urban area for flows above 5,000 m³ s⁻¹. In contrast, the urban centers of Neópolis (Area 2) and towns near the river mouth (Area 3) showed greater natural resilience due to elevated topography or microreliefs, with impacts restricted to linear infrastructure and rural areas. It is concluded that the employed methodology is effective for identifying risk areas, providing essential inputs for differentiated territorial planning and disaster management actions in the BSF.
Downloads
References
Abd-Elhamid, H. F., Franzetti, L. A., Zeleňáková, M., et al. (2025). Desenvolvimento de modelos hidrológicos e hidrodinâmicos integrados para modelagem de inundações em Radiša captação na Eslováquia Ocidental usando HEC-HMS e HEC-RAS. Natural Hazards, 121, 22183–22209. DOI: https://doi.org/10.1007/s11069-025-07683-5
Agência Nacional de Águas e Saneamento Básico (ANA). (2023). Hidroweb – banco de dados. http://hidroweb.ana.gov.br
Anand, J., Gosain, A. K., & Khosa, R. (2024). Hydrological and hydrodynamic modelling for flood management: A case study of the Yamuna River Basin in Delhi. Journal of Hydrology: Regional Studies, 56. https://doi.org/10.1016/j.ejrh.2024.101960 DOI: https://doi.org/10.1016/j.ejrh.2024.101960
Bhat, M. S., et al. (2019). Flood frequency analysis of river Jhelum in Kashmir basin. Quaternary International, 507, 288–294. DOI: https://doi.org/10.1016/j.quaint.2018.09.039
Campos, A. R., Santos, G. G., Silva, J. B. L., Irene Filho, J., & Loura, D. S. (2014). Equações de intensidade-duração-frequência de chuvas para o estado do Piauí. Revista Ciência Agronômica, 45, 488–498. DOI: https://doi.org/10.1590/S1806-66902014000300008
Coelho, C. D., et al. (2022). Modelagem hidrodinâmica de áreas suscetíveis a inundações na bacia hidrográfica do Rio Paraíba do Sul. In Anais do I Simpósio Nacional de Mecânica dos Fluidos e Hidráulica.
De Souza Costa, M., Avelar, F. G., & Beijo, L. A. (2020). Predição da vazão máxima do reservatório de Furnas (MG). Proceeding Series of the Brazilian Society of Computational and Applied Mathematics, 7.
França, B. T., Andrade, M. P., Ribeiro, C. B. M., & Hippert, H. S. (2021). Dinâmica do uso do solo e alterações na vazão na bacia do Rio São Francisco no início do século XXI. Revista de Gestão de Água da América Latina, 18. https://www.abrhidro.org.br/ DOI: https://doi.org/10.21168/rega.v18e11
Instituto Brasileiro de Geografia e Estatística (IBGE). (2023). Projeção da população urbana. IBGE.
Islam, A., & Sarkar, B. (2020). Analysing flood history and simulating the nature of future floods using Gumbel method and log-Pearson type III: The case of the Mayurakshi River Basin, India. Bulletin of Geography. Physical Geography Series, 19, 43–69. DOI: https://doi.org/10.2478/bgeo-2020-0009
Junior, F. M. A., Kobiyama, M., & Corseuil, C. W. (2023). Mapeamento de índice de risco de inundação de área a jusante de uma barragem em caso de rompimento. Mercator, 22.
Kumar, R. (2019). Flood frequency analysis of the Rapti River Basin using log-Pearson type III and Gumbel extreme value-1 methods. Journal of the Geological Society of India, 94, 480–484. DOI: https://doi.org/10.1007/s12594-019-1344-0
Maillard, P., et al. (2022). Challenges of defining the floodplain through the “mean ordinary flood line” approach using remote sensing in Brazil: A case study of the São Francisco River. RBRH, 27. DOI: https://doi.org/10.1590/2318-0331.272220210110
Martins, D. M. F., Chagas, R. M., Melo Neto, J. O., & Méllo Júnior, A. V. (2011). Impactos da construção da usina hidrelétrica de Sobradinho no regime de vazões no Baixo São Francisco. Revista Brasileira de Engenharia Agrícola e Ambiental, 15, 1054–1061. DOI: https://doi.org/10.1590/S1415-43662011001000010
Monte, B. E. O., Costa, D. D., Chaves, M. B., Magalhães, L. O., & Uvo, C. B. (2016). Modelagem hidrológica e hidráulica aplicada ao mapeamento de áreas inundáveis. RBRH, 21, 152–167. DOI: https://doi.org/10.21168/rbrh.v21n1.p152-167
National Aeronautics and Space Administration (NASA). (2020). ASF data search. https://search.asf.alaska.edu/
Rocha, L. H. S., Silva, D. F., Kayano, M. T., & Bonfim, O. E. T. (2022). Homogeneidade, eventos extremos e suas causas climáticas: Bacia hidrográfica do Rio São Francisco. Revista Brasileira de Meteorologia, 37, 199–212. DOI: https://doi.org/10.1590/0102-77863710122
Rohde, M. M. (2023). Floods and droughts are intensifying globally. Nature Water, 1, 226–227. DOI: https://doi.org/10.1038/s44221-023-00047-y
Saito, S. M., et al. (2019). População urbana exposta aos riscos de deslizamentos, inundações e enxurradas no Brasil. Sociedade & Natureza, 31. https://www.scielo.br/j/sn/a/nsTDtH7Nc8pdHV6H3xhdJCR/ DOI: https://doi.org/10.14393/SN-v31-2019-46320
Sindhu, K., & Durga Rao, K. H. V. (2016). Hydrological and hydrodynamic modeling for flood damage mitigation in Brahmani-Baitarani River Basin, India. Geocarto International, 32. https://doi.org/10.1080/10106049.2016.1178818 DOI: https://doi.org/10.1080/10106049.2016.1178818
Souza, S. O., & Oliveira, S. F. (2019). Mapeamento do uso e ocupação da terra do município de Petrolina (PE) – médio vale do Rio São Francisco através do NDVI de imagem Landsat 8 (OLI). Revista Equador, 8, 489–502. DOI: https://doi.org/10.26694/equador.v8i2.9204
Vasco, A. N., Netto, A. D. O. A., & Silva, M. G. (2019). Influência de barragens nas condições eco-hidrológicas da bacia do Rio São Francisco, Brasil. Ecohydrology & Hydrobiology, 19, 556–565. DOI: https://doi.org/10.1016/j.ecohyd.2019.03.004
Vasco, A. N., Netto, A. D. O. A., & Pruski, F. F. (2017). Impactos das barragens na disponibilidade hídrica do Nordeste do Brasil. Recursos Hídricos, 38, 39–49. DOI: https://doi.org/10.5894/rh38n2-cti1
Vieira, M. R. S., & Vinagre, M. V. A. (2022). Mapeamento de áreas de risco a inundações com imagens ALOS PALSAR: Estudo de caso em Belém (PA). Acta Geográfica, 16. https://revista.ufrr.br/actageo/article/view/6749
Wang, J., Wah Yu, C., & Cao, S. J. (2021). Urban development in the context of extreme flood events. Indoor and Built Environment, 31, 3–6. DOI: https://doi.org/10.1177/1420326X211048577
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Anderson Nascimento do Vasco, Diogo dos Santos Gonçalves Bahia, Fabio Brandão Britto, Inajá Francisco de Sousa

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Revista Brasileira de Geografia Física agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted to make their work available online before or during the editorial process, on academic social networks, digital repositories, or preprint servers. After publication in Revista Brasileira de Geografia Física, authors are expected to update the preprint or postprint versions on the platforms where they were originally made available, providing a link to the final published version and any other relevant information, with proper recognition of authorship and the initial publication in this journal.
You are free to:
Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.