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Performance evaluation of conceptual rainfall-runoff models GR4J and AWBM
Among the different hydrological models used for water resources assessment, conceptual models are gaining popularity due to their simple structure and satisfactory performance. In this study, performance of two conceptual rainfall-runoff models, GR4J (Génie Rural) and AWBM (Australian Water Balance Model), working in Source modelling platform is evaluated at two catchments in the upper Godavari basin, Maharashtra, India. Source is an integrated water resource management tool, developed by eWater Ltd, Australia. GR4J is a four parameter two water store model and AWBM is an eight parameter three water store model. Gap-filled daily rainfall and potential evapotranspiration (PET) data measured from adjacent station is used as input to these models. The models are calibrated for the period 2000–2007 and validated for 2008–2011 using the observed streamflow data. A combination of Shuffle Complex Evolution (SCE) and the Rosenbrock equation is used to calibrate each model in Source framework. Statistical measures such as NSE (Nash–Sutcliffe Efficiency) and correlation coefficient (R2) are computed to evaluate the efficacy of model predictions. From the results obtained, it is found that GR4J model provides better streamflow predictions for the study catchments than AWBM. As GR4J is a simpler model, it is more adaptable for water balance modelling.
Performance evaluation of conceptual rainfall-runoff models GR4J and AWBM
Among the different hydrological models used for water resources assessment, conceptual models are gaining popularity due to their simple structure and satisfactory performance. In this study, performance of two conceptual rainfall-runoff models, GR4J (Génie Rural) and AWBM (Australian Water Balance Model), working in Source modelling platform is evaluated at two catchments in the upper Godavari basin, Maharashtra, India. Source is an integrated water resource management tool, developed by eWater Ltd, Australia. GR4J is a four parameter two water store model and AWBM is an eight parameter three water store model. Gap-filled daily rainfall and potential evapotranspiration (PET) data measured from adjacent station is used as input to these models. The models are calibrated for the period 2000–2007 and validated for 2008–2011 using the observed streamflow data. A combination of Shuffle Complex Evolution (SCE) and the Rosenbrock equation is used to calibrate each model in Source framework. Statistical measures such as NSE (Nash–Sutcliffe Efficiency) and correlation coefficient (R2) are computed to evaluate the efficacy of model predictions. From the results obtained, it is found that GR4J model provides better streamflow predictions for the study catchments than AWBM. As GR4J is a simpler model, it is more adaptable for water balance modelling.
Performance evaluation of conceptual rainfall-runoff models GR4J and AWBM
Anshuman, Aatish (author) / Kunnath-Poovakka, Aiswarya (author) / Eldho, T. I. (author)
ISH Journal of Hydraulic Engineering ; 27 ; 365-374
2021-10-02
10 pages
Article (Journal)
Electronic Resource
Unknown
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