SWAT Literature Database for Peer-Reviewed Journal Articles

Title:A comparative assessment of hydrological models in the Upper Cauvery catchment 
Authors:Horan, R., R. Gowri, P.S. Wable, H. Baron, V.D.J. Keller, K.K. Garg, P.P. Mujumdar, H. Houghton-Carr and G. Rees 
Year:2021 
Journal:Water 
Volume (Issue):13(2) 
Pages: 
Article ID:151 
DOI:10.3390/w13020151 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:model comparison 
Secondary Application Category:calibration, sensitivity, and/or uncertainty analysis 
Watershed Description:Five subwatersheds ranging in size from 1,330 to 10,619 km^2, located within the Upper Cauvery drainage area in southwest India. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:This paper presents a comparison of the predictive capability of three hydrological models, and a mean ensemble of these models, in a heavily influenced catchment in Peninsular India: GWAVA (Global Water AVailability Assessment) model, SWAT (Soil Water Assessment Tool) and VIC (Variable Infiltration Capacity) model. The performance of the three models and their ensemble were investigated in five sub-catchments in the upstream reaches of the Cauvery river catchment. Model performances for monthly streamflow simulations from 1983–2005 were analysed using Nash-Sutcliffe efficiency, Kling-Gupta efficiency and percent bias. The predictive capability for each model was compared, and the ability to accurately represent key catchment hydrological processes is discussed. This highlighted the importance of an accurate spatial representation of precipitation for input into hydrological models, and that comprehensive reservoir functionality is paramount to obtaining good results in this region. The performance of the mean ensemble was analysed to determine whether the application of a multi-model ensemble approach can be useful in overcoming the uncertainties associated with individual models. It was demonstrated that the ensemble mean has a better predictive ability in catchments with reservoirs than the individual models, with Nash- Sutcliffe values between 0.49 and 0.92. Therefore, utilising multiple models could be a suitable methodology to offset uncertainty in input data and poor reservoir operation functionality within individual models. 
Language:English 
Keywords:Cauvery; hydrological modelling; VIC; SWAT; GWAVA; ensemble modelling; water resources