Limnological Review, 2021 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
Surface runoff prediction and comparison using IHACRES and GR4J lumped models in the Mono catchment, West Africa [PDF]
Proceedings 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 +3 more sources
Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil [PDF]
Hydrology and Earth System Sciences, 2023 Regionalization methods dependent on hydrological models comprise techniques for transferring calibrated parameters in instrumented watersheds (donor basins) to non-instrumented watersheds (target basins).
L. A. Kuana +4 more
doaj +4 more sources
Calibracion del modelo lluvia-escorrentia agregado gr4j aplicación: Cuenca del río aburrá
Dyna, 2007 El presente trabajo muestra la calibración del modelo lluvia-escorrentía GR4J en 8 subcuencas de la cuenca del río Aburrá. Este modelo es considerado parsimonioso ya que solo tiene 4 parámetros. La calibración incluye la optimización de los parámetros.
LUIS_FERNANDO CARVAJAL, ERNESTO ROLDÁN
doaj +3 more sources
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
doaj +1 more source
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
doaj +1 more source
Untangling hybrid hydrological models with explainable artificial intelligence
H2Open Journal, 2021 Hydrological models are valuable tools for developing streamflow predictions in unmonitored catchments to increase our understanding of hydrological processes.
Daniel Althoff +2 more
doaj +1 more source
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
doaj +1 more source
Component Combination Test to Investigate Improvement of the IHACRES and GR4J Rainfall–Runoff Models [PDF]
Water, 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.
Shin, Mun-Ju, Kim, Chung-Soo
openaire +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]
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
doaj +1 more source