Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 386
Articles | Volume 386
https://doi.org/10.5194/piahs-386-81-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-386-81-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 386
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

Artificial neural networks applied for flood forecasting in ungauged basin – the Paranaíba river study case

Abderraman R. A. Brandão, Frederico C. M. de Menezes Filho, Paulo T. S. Oliveira, and Maria C. Fava

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Short summary
Flow simulation using artificial neural networks is widely used in modeling, particularly in data-scarce areas. Our study utilized MLP neural networks to predict urban runoff in flood-prone basin. Motivated by the vulnerability to floods, we input rainfall and previous runoff data. The model effectively captured basin dynamics, highlighting the impact of urbanization. This research supports urban river basin planning and aids in flood mitigation and adaptation strategies.
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