Results 21 to 30 of about 966 (127)

Simulation of the daily rainfall-runoff process : Comparison among GR4J, SWAT, and Random Forest. [PDF]

open access: yes, 2023
Un 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 ...
Castro, Alberto   +4 more
core   +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]

open access: yesProceedings of the International Association of Hydrological Sciences
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

Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, Canada

open access: yesJournal 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
doaj   +1 more source

Impact of 1.5 and 2.0 °C global warming on the hydrology of the Faleme river basin

open access: yesJournal 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
doaj   +1 more source

Simulación del proceso precipitación-escorrentía con paso diario: comparación de los modelos GR4J, SWAT y random forest

open access: yesRibagua, 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
doaj   +1 more source

Component Combination Test to Investigate Improvement of the IHACRES and GR4J Rainfall–Runoff Models

open access: yes, 2021
Rainfall–runoff models are not perfect, and the suitability of a model structure depends on catchment characteristics and data. It is important to investigate the pros and cons of a rainfall–runoff model to improve both its high- and low-flow simulation.
Chung-Soo Kim, Mun-Ju Shin
core   +1 more source

Separating climate change and human activities' effects on flow regime with hydrological model error correction

open access: yesEcological 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
doaj   +1 more source

Surface runoff prediction and comparison using IHACRES and GR4J lumped models in the Mono catchment, West Africa [PDF]

open access: yesProceedings of the International Association of Hydrological Sciences, 2021
This study aims to assess simulated surface runoff before and after dam construction in the Mono catchment (West Africa) using two lumped models: GR4J (Rural Engineering with 4 Daily Parameters) and IHACRES (Identification of unit Hydrographs and ...
H. D. Koubodana   +11 more
doaj   +1 more source

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]

open access: yesRevista 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
doaj  

The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models [PDF]

open access: yesHydrology 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
doaj   +1 more source

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