Rainfall-Runoff Modeling Using the eWater Source in the Chel-Chay Watershed, the Province of Golestan [PDF]
پژوهشهای آبخیزداری, 2021 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
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Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks
Hydrology, 2021 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
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A theoretical appraisal of the GR4J rainfall-runoff modelling framework
Journal of HydrologyAndrew Ireson +2 more
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Reliability of a conceptual hydrological model in a semi-arid Andean catchment facing water-use changes [PDF]
Proceedings of the International Association of Hydrological Sciences, 2015 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
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Water Science, 2023 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
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The utilization of a GR4J model and wavelet-based artificial neural network for rainfall–runoff modelling [PDF]
Water Supply, 2018 Abstract Data-driven models and conceptual models have been utilized in an attempt to perform rainfall–runoff modelling. The aim of this study is comparing the performance of an artificial neural network (ANN) model, wavelet-based artificial neural network (WANN) model and GR4J lumped daily conceptual model for rainfall–runoff modelling ...
Sezen, C., Partal, T.
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Journal of Hydrology: Regional Studies, 2020 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
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Impact of 1.5 and 2.0 °C global warming on the hydrology of the Faleme river basin
Journal of Hydrology: Regional Studies, 2020 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
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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]
Proceedings of the International Association of Hydrological SciencesAccurate 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
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The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models [PDF]
Hydrology and Earth System Sciences, 2015 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
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