the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Assessment of flood discharge sensitivity to climate indexes in West Africa
Djigbo F. Badou
Aymar Y. Bossa
Yacouba Yira
Julien Adounkpè
Eric A. Alamou
Emmanuel A. Lawin
Luc O. C. Sintondji
Abel A. Afouda
Ernest Amoussou
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This study aims to improve river flow prediction in a region where hydrological data are limited, which is essential for water management and flood preparedness. We combined a traditional rainfall–runoff model with data-driven learning methods to correct systematic simulation errors. Results show that the combined approach predicts river flow more accurately than the traditional model alone. These findings highlight a practical way to improve water resource planning in data-limited regions.
This study aims to improve river flow prediction in a region where hydrological data are limited, which is essential for water management and flood preparedness. We combined a traditional rainfall–runoff model with data-driven learning methods to correct systematic simulation errors. Results show that the combined approach predicts river flow more accurately than the traditional model alone. These findings highlight a practical way to improve water resource planning in data-limited regions.