Results 21 to 30 of about 231 (137)
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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Ribagua, 2023 RESUMENUn sólido estudio hidrológico diario es una tarea desafiante en regiones caracterizadas por una alta variabilidad hidro-climática, como Uruguay. Por esta razón, los modelos hidrológicos de base física de diferentes escalas temporales y espaciales (
Federico Vilaseca +4 more
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Ecological Indicators, 2023 Climate change and human activities have markedly altered flow regimes, leading to deleterious consequences for riverine ecosystems. The widely employed hydrological modeling restoration method for conducting flow regime attribution often tends to ...
Qin Wang +5 more
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Proceedings of IAHS, 2022 <p>Building Rating Curves is complex since it depends on the availability of direct instantaneous stage-velocity/area measurements (gaugings) and variable hydraulic conditions. This work proposes a methodology to estimate synthetic (non-gauged) daily rating curves.
R. Navas +3 more
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Evaluación del desempeño de modelos hidrológicos GR4J, HBV y SOCONT para el pronóstico de caudales medios diarios en la cuenca del río Ramis, Perú [PDF]
Revista Ingeniería UC, 2020 Las inundaciones son fenómenos naturales que han ocurrido a lo largo de la historia. La frecuencia con la que se presentan ha inducido importantes pérdidas humanas, pérdidas en la agricultura, el sistema socioeconómico y daños a la infraestructura ...
Efrain Lujano +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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Streamflow prediction in ungauged basins: benchmarking the efficiency of deep learning [PDF]
E3S Web of Conferences, 2020 Streamflow prediction is a vital public service that helps to establish flash-flood early warning systems or assess the impact of projected climate change on water management. However, the availability of streamflow observations limits the utilization of
Ayzel Georgy +3 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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Assessment and Prediction of Rainfall-Runoff Models Using GR4J in the Klela Basin in Mali
Modern Applied Science, 2022 The study on water resources is very important for a country like Mali Republic. This is because the climate of the Sahel is projected by many climate scenarios that contribute to a premature dry season. So, the Klela basin being one of the affected areas by the phenomenon is selected for this study.
Souleymane Keita +4 more
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