Earth:Swat-CUP

SWAT-CUP (SWAT Calibration and Uncertainty Procedures) is a program designed to integrate various calibration/uncertainty analysis programs for SWAT (Soil & Water Assessment Tool) using the same interface. Currently the program can run SUFI2 (Abbaspour et al., 2007), GLUE (Beven and Binley, 1992), and ParaSol (van Griensven and Meixner, 2006). To create a project, the program guides the user through the input files necessary for running a calibration program. Each SWAT-CUP project contains one calibration method and allows user to run the procedure many times until convergence is reached. User can save calibration iterations in the iteration history for later use. Also we have made it possible to create charts of observed and simulated data and the predicted uncertainty about them.

Targets

1. Integrate various calibration/uncertainty analysis procedures for SWAT in one user interface and visualize the results.
2. Make the calibrating procedure easy to use for students and professional users of SWAT.
3. Make the learning of the programs easier for beginners.
4. Provide a faster way to do the time-consuming calibration operations and standardize calibration steps.
5. Add extra functionalities to calibration operations such as creating graph of calibrated results and data comparison.

User Interface

SWAT-CUP uses an advanced user-friendly interface, similar to the Microsoft Office 2007, with the same UI features. Everything has the same standard as Microsoft products, so all users can easily learn and use the program.

Users

As SWAT-CUP is related to SWAT software and has extra functionalities for calibration and uncertainty analysis, SWAT-CUP would be useful for all SWAT users.

SWAT-CUP2 was made possible with contributions from:

• Mahdi Vejdani and Sohail Haghighat of Neprash Company who wrote the SWAT-CUP interface
• Raghvan Srinivasan of Texas A&M University who provided financial support
• Jing Yang of Eawag who initially linked the optimization procedure to SWAT and created the MCMC algorithm as part of his PhD thesis with supervision of Peter Reichert and Karim C. Abbaspour.

References

• Abbaspour, K.C., J. Yang, I. Maximov,., R. Siber, K. Bogner, J. Mieleitner, J. Zobrist, R. Srinivasan. 2007. Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. Journal of Hydrology, 333:413-430.
• Abbaspour, K.C., 2005. Calibration of hydrologic models: when is a model calibrated in Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 2449–12455. ISBN:0-9758400-2-9. http://www.mssanz.org.au/modsim05/papers/abbaspour.pdf
• Abbaspour, K.C., Johnson, A., van Genuchten, M.Th., 2004. Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure. Vadose Zone Journal 3(4), 1340–1352.
• Abbaspour, K. C., R. Schulin, M. Th. Van Genuchten, 2001. Estimation of unsaturated soil hydraulic parameters using ant colony optimization. Advances in Water Resources,24: 827–841.
• Abbaspour, K. C., M. Sonnleitner, and R. Schulin. 1999. Uncertainty in Estimation of Soil Hydraulic Parameters by Inverse Modeling: Example Lysimeter Experiments. Soil Sci. Soc. of Am. J., 63: 501–509.
• Abbaspour, K. C., M. Th. van Genuchten, R. Schulin, and E. Schläppi. 1997. A sequential uncertainty domain inverse procedure for estimating subsurface flow and transport parameters. Water Resour. Res., v. 33, no. 8., pp. 1879–1892.
• Arnold, J.G., Srinivasan R., Muttiah R.S., Williams J.R., 1998. Large area hydrologic modeling and assessment - Part 1: Model development. Journal of the American Water Resources Association 34(1), 73–89.
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• Schuol, J., K.C. Abbaspour, R. Srinivasan, and H. Yang. 2008a. Modelling Blue and Green Water Availability in Africa at monthly intervals and subbasin level. Water Resources Research. VOL. 44, W07406, doi:10.1029/2007WR006609.
• Schuol, J., Abbaspour, KC., Sarinivasan, R., Yang, H. 2008b. Estimation of freshwater availability in the West African Sub-continent using the SWAT hydrologic model. Journal of Hydroloy. 352(1-2):30-49.
• Van Griensven A. and W. Bauwens. 2003. Multi-objective auto-calibration for semidistributed water quality models, Water. Resourc. Res. 39 (12): Art. No. 16 December 1348.
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• Yang, J., Reichert, P., Abbaspour, K.C., Yang, H., 2007. Hydrological Modelling of the Chaohe Basin in China: Statistical Model Formulation and Bayesian Inference. Journal of Hydrology, 340: 167–182.
• Yang, J., Abbaspour K. C., Reichert P., and Yang H. 2008. Comparing uncertainty analysis techniques for a SWAT application to Chaohe Basin in China. In review. Journal of Hydrology. 358(1-2):1-23.
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External links

• [1]
• EAWAG.CH
• NeprashGostar.com
• Neprash.com
• Texas University