Simultaneous calibration of surface flow and baseflow simulations: a revisit of the SWAT model calibration framework
Article first published online: 18 MAR 2011
Copyright © 2011 John Wiley & Sons, Ltd.
Volume 25, Issue 14, pages 2313–2320, 1 July 2011
How to Cite
Zhang, X., Srinivasan, R., Arnold, J., Izaurralde, R. C. and Bosch, D. (2011), Simultaneous calibration of surface flow and baseflow simulations: a revisit of the SWAT model calibration framework. Hydrol. Process., 25: 2313–2320. doi: 10.1002/hyp.8058
- Issue published online: 5 JUL 2011
- Article first published online: 18 MAR 2011
- Accepted manuscript online: 16 FEB 2011 03:37AM EST
- Manuscript Accepted: 11 FEB 2011
- Manuscript Received: 23 APR 2010
- multi-objective optimization;
- uncertainty analysis;
- physically oriented calibration
Accurate analysis of water flow pathways from rainfall to streams is critical for simulating water use, climate change impact, and contaminants transport. In this study, we developed a new scheme to simultaneously calibrate surface flow (SF) and baseflow (BF) simulations of soil and water assessment tool (SWAT) by combing evolutionary multi-objective optimization (EMO) and BF separation techniques. The application of this scheme demonstrated pronounced trade-off of SWAT's performance on SF and BF simulations. The simulated major water fluxes and storages variables (e.g. soil moisture, evapotranspiration, and groundwater) using the multiple parameters from EMO span wide ranges. Uncertainty analysis was conducted by Bayesian model averaging of the Pareto optimal solutions. The 90% confidence interval (CI) estimated using all streamflows substantially overestimate the uncertainty of low flows on BF days while underestimating the uncertainty of high flows on SF days. Despite using statistical criteria calculated based on streamflow for model selection, it is important to conduct diagnostic analysis of the agreement of SWAT behaviour and actual watershed dynamics. The new calibration technique can serve as a useful tool to explore the trade-off between SF and BF simulations and provide candidates for further diagnostic assessment and model identification. Copyright © 2011 John Wiley & Sons, Ltd.