The management of water resources requires as a first step the modeling of rainfall-runoff. It allows simulating the hydrological behavior of the basin for a good evaluation of the potentiality of this in terms of water production.
Oueldkaddour Fatima-Zehrae Elhallaoui +3 more
doaj +2 more sources
Rainfall-Runoff Modeling Using the eWater Source in the Chel-Chay Watershed, the Province of Golestan [PDF]
It is very complex and difficult to fully understand the relationships in watersheds due to the heterogeneity and non-linear nature of hydrological and erosive behaviors. Therefore, the evaluation of watersheds requires a modeling process.
Mehdi Teimouri, Ehsan Alvandi
doaj +1 more source
Calibration of the hydrological model GR4J from potential evapotranspiration estimates by the Penman-Monteith and Oudin methods in the Ouémé watershed (West Africa) [PDF]
The Ouémé watersheds at Bétérou and Bonou has been recently facing increased sensitivity to extreme hydroclimatic phenomena that occurred by flooding or drought events.
D. J. Kodja +8 more
doaj +1 more source
Reliability of a conceptual hydrological model in a semi-arid Andean catchment facing water-use changes [PDF]
This paper explores the reliability of low-flow simulations by conceptual models in a semi-arid, Andean catchment (30° S) facing climate variability and water-use changes.
P. Hublart +4 more
doaj +1 more source
Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks
Gridded datasets provide spatially and temporally consistent runoff estimates that serve as reliable sources for assessing water resources from regional to global scales.
Georgy Ayzel +3 more
doaj +1 more source
Satellite rainfall products (SRPs) have the potential to overcome the limitations of ground-based rainfall observations and provide an alternative to inadequately or ungauged watersheds.
Bakary Faty +6 more
doaj +1 more source
Study region: Waterford River watershed, St. John’s, Newfoundland and Labrador (NL), Canada. Study focus: This study investigates five hydrological models to identify adequate model(s) for operational flood forecasting at Waterford River watershed. These
Dayal Buddika Wijayarathne +1 more
doaj +1 more source
Residual-based hybrid modeling combining GR4J and machine learning for streamflow prediction in data-scarce catchment: case of the Ouémé catchment at Bonou (Benin, West Africa) [PDF]
Accurate streamflow forecasting is essential for water resource management, yet remains challenging in data-scarce regions. This study develops and evaluates a hybrid modeling framework for the Ouémé River basin (Benin) that combines the conceptual GR4J ...
J. E. Ahouandjinou +3 more
doaj +1 more source
Impact of 1.5 and 2.0 °C global warming on the hydrology of the Faleme river basin
Study region: Faleme river basin, Senegal, Mali, and Guinea. Study focus: This study proposes an assessment of the impact of climate change on the hydrology of the Faleme basin, located in West Africa.
Mamadou Lamine Mbaye +3 more
doaj +1 more source
The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models [PDF]
This paper investigates the skill of 90-day low-flow forecasts using two conceptual hydrological models and one data-driven model based on Artificial Neural Networks (ANNs) for the Moselle River. The three models, i.e. HBV, GR4J and ANN-Ensemble (ANN-E),
M. C. Demirel +2 more
doaj +1 more source

