Results 111 to 120 of about 215 (134)
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Using the GR4J Conceptual Model for Runoff Simulation in the Ussuri River Basin
Russian Meteorology and Hydrology, 2023Leonid Gonchukov +2 more
exaly +2 more sources
Hybrid-GR4J: A hybrid hydrological model integrating GR4J and deep learning
Environmental Modelling and SoftwareJianbo Chang
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Modeling Nitrate export with GR4J and StorAge Selection functions 
2022<div> <p><span>Models based on&#160;StorAge&#160;Selection (SAS) functions are&#160;emerging as promising tools for quantifying catchment-scale solute export&#160;through the understanding of factors controlling transit time distribution (TTD).&#160;SAS&#160 ...
Alban de Lavenne +4 more
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EXPERIENCE IN USING THE GR4J CONCEPTUAL MODEL FOR RUNOFF SIMULATION IN THE USSURI RIVER BASIN
Meteorologiya i Gidrologiya, 2023The open-source low-parametric conceptual hydrological model GR4J was used for runoff simulations of 17 nested catchments of the Upper Ussuri River basin with areas ranging from 133 to 24400 km2, including the Kirovskii outlet. The data of standard hydrometeorological observations of Primorye Administration for Hydrometeorology and Environmental ...
S. YU. LUPAKOV +5 more
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Performance evaluation of conceptual rainfall-runoff models GR4J and AWBM
ISH Journal of Hydraulic Engineering, 2018Among the different hydrological models used for water resources assessment, conceptual models are gaining popularity due to their simple structure and satisfactory performance.
Aatish Anshuman +2 more
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Modeling Nitrate export with GR4J and StorAge Selection functions
2022Models based on StorAge Selection (SAS) functions are emerging as promising tools for quantifying catchment-scale solute export through the understanding of factors controlling transit timedistribution (TTD). SAS functions describe the sampling of different ages in catchment storage that produces river discharge.
de Lavenne, Alban +4 more
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Water Resources Management, 2013
This study analyses the extreme high flows in Jinhua River basin under the impact of climate change for the near future 2011–2040. The objective of this study is to investigate the effect of using the bias corrected RCM outputs as input on the extreme flows by hydrological models.
Ye Tian, Yue-Ping Xu, Xu-Jie Zhang
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This study analyses the extreme high flows in Jinhua River basin under the impact of climate change for the near future 2011–2040. The objective of this study is to investigate the effect of using the bias corrected RCM outputs as input on the extreme flows by hydrological models.
Ye Tian, Yue-Ping Xu, Xu-Jie Zhang
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Comparative Study of GR4J and Xinanjiang Models in Humid Area
Journal of Water Resources Research, 2021openaire +1 more source

