Eurasian Journal of Soil Science

Volume 1, Issue 1, Jun 2012, Pages 58 - 63

Stable URL: http://ejss.fess.org/10.18393/ejss.2012.1.058-063
Copyright © 2012 The authors and Federation of Eurasian Soil Science Societies



Identification and prioritization of critical sub-basins in a highly mountainous watershed using SWAT model

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Article first published online: 20 Jun 2012 | How to cite | Additional Information (Show All)

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Besalatpour ,A., Hajabbasi,M., Ayoubi,S., Jalalian,A., 2012. Identification and prioritization of critical sub-basins in a highly mountainous watershed using SWAT model. Eurasian J Soil Sci 1(1):58 - 63.
Besalatpour ,A.,Hajabbasi,M.Ayoubi,S.,& Jalalian,A. Identification and prioritization of critical sub-basins in a highly mountainous watershed using SWAT model Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2012.1.058-063
Besalatpour ,A.,Hajabbasi,M.Ayoubi,S., and ,Jalalian,A."Identification and prioritization of critical sub-basins in a highly mountainous watershed using SWAT model" Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2012.1.058-063
Besalatpour ,A.,Hajabbasi,M.Ayoubi,S., and ,Jalalian,A. "Identification and prioritization of critical sub-basins in a highly mountainous watershed using SWAT model" Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2012.1.058-063
A,Besalatpour .M ,Hajabbasi.S,Ayoubi.A,Jalalian "Identification and prioritization of critical sub-basins in a highly mountainous watershed using SWAT model" Eurasian J. Soil Sci, vol., no., pp., DOI : 10.18393/ejss.2012.1.058-063
Besalatpour ,Asghar ;Hajabbasi,M. ;Ayoubi,Shamsolah ;Jalalian,Ahmad Identification and prioritization of critical sub-basins in a highly mountainous watershed using SWAT model. Eurasian Journal of Soil Science,. DOI : 10.18393/ejss.2012.1.058-063

How to cite

Besalatpour , A., Hajabbasi, M., . Ayoubi, S., . Jalalian, A., .2012. Identification and prioritization of critical sub-basins in a highly mountainous watershed using SWAT model. Eurasian J. Soil Sci. 1(1): 58 - 63.

Author information

Asghar Besalatpour , Isfahan University of Technology, College of Agriculture, Department of Soil Science, Isfahan, Iran
M. Hajabbasi , Isfahan University of Technology, College of Agriculture, Department of Soil Science, Isfahan, Iran
Shamsolah Ayoubi , Isfahan University of Technology, College of Agriculture, Department of Soil Science, Isfahan, Iran
Ahmad Jalalian , Isfahan University of Technology, College of Agriculture, Department of Soil Science, Isfahan, Iran

Publication information

Issue published online: 25 Jun 2012
Article first published online : 20 Jun 2012
Manuscript Accepted : 15 Jun 2012
Manuscript Received: 01 Dec 2011

Abstract

A few areas in a large watershed might be more critical and responsible for high amount of runoff and soil losses. For an effective and efficient implementation of watershed management practices, identification of these critical areas is vital. In this study, we used the Soil and Water Assessment Tool (SWAT, 2009) to identify and prioritize the critical sub-basins in a highly mountainous watershed with imprecise and uncertain data (Bazoft watershed, southwestern Iran). Three different SWAT models were first developed using different climate input data sets. The first data set (denoted as CRU) was derived from the climate research unit data set developed by the British Atmosphere Data Center (BADC). The second data set (denoted as CDW) was included the climate data obtained from the precipitation and air temperature stations in the study area. The third set (denoted as COM) was a combination of CRU and CDW climate data. The Generalized Likelihood Uncertainty Estimation (GLUE) program was used for calibrating and validating the SWAT model. Daily rainfall, temperature, and runoff data of 20 years (1989-2008) were used in this study. In results, the constructed SWAT model using COM data set simulated the runoff more satisfactorily than the two other developed SWAT models according to the statistical evaluation criteria. The correlation coefficient and Nash-Sutcliff values for the constructed SWAT model using COM data set were 0.40 and 0.38, respectively. The model simulated the runoff satisfactorily; however, the predicted runoff values were much more in agreement with the measured data for the calibration period than those for the validation period. Sub-basins S10, S12, and S13 were assigned as the most top critical sub-basins in runoff production in the watershed. The study revealed that the SWAT model could successfully be used for identifying the critical sub-basins in a watershed with imprecise and uncertain data for management purposes.

Keywords

Runoff, watershed management, SWAT model, GLUE algorithm, uncertainty analysis

Corresponding author

References

Abbaspour, K.C., 2009. User Manual for SWAT-CUP2, SWAT Calibration and Uncertainty Analysis Programs. Swiss Federal Institute of Aquatic Science and Technology, Eawag, Dübendorf, Switzerland.

Gupta, H.V., Beven, K.J., and Wagener, T., 2005. Model calibration and uncertainty estimation. In: Anderson, M.G. (Ed.), Encyclopedia of Hydrological Sciences. John Wiley, New York.

Hornberger, G.M., Spear, R.C., 1981. An approach to the preliminary-analysis of environmental systems. Journal of Environmental Management 12, 7-18.

Tripathi, M.P., Panda, R.K., Raghuwanshi, N.S., 2003. Identification and prioritization of critical sub-watersheds for soil conservation management using the SWAT model. Biosystems Engineering 85, 365-379.

Yang, J., Reichert, P., Abbaspour, K.C., Xia, J., Yang, H., 2008. Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China. Journal of Hydrology 358, 1-23.

Abstract
A few areas in a large watershed might be more critical and responsible for high amount of runoff and soil losses. For an effective and efficient implementation of watershed management practices, identification of these critical areas is vital. In this study, we used the Soil and Water Assessment Tool (SWAT, 2009) to identify and prioritize the critical sub-basins in a highly mountainous watershed with imprecise and uncertain data (Bazoft watershed, southwestern Iran). Three different SWAT models were first developed using different climate input data sets. The first data set (denoted as CRU) was derived from the climate research unit data set developed by the British Atmosphere Data Center (BADC). The second data set (denoted as CDW) was included the climate data obtained from the precipitation and air temperature stations in the study area. The third set (denoted as COM) was a combination of CRU and CDW climate data. The Generalized Likelihood Uncertainty Estimation (GLUE) program was used for calibrating and validating the SWAT model. Daily rainfall, temperature, and runoff data of 20 years (1989-2008) were used in this study. In results, the constructed SWAT model using COM data set simulated the runoff more satisfactorily than the two other developed SWAT models according to the statistical evaluation criteria. The correlation coefficient and Nash-Sutcliff values for the constructed SWAT model using COM data set were 0.40 and 0.38, respectively. The model simulated the runoff satisfactorily; however, the predicted runoff values were much more in agreement with the measured data for the calibration period than those for the validation period. Sub-basins S10, S12, and S13 were assigned as the most top critical sub-basins in runoff production in the watershed. The study revealed that the SWAT model could successfully be used for identifying the critical sub-basins in a watershed with imprecise and uncertain data for management purposes.

Keywords: Runoff, watershed management, SWAT model, GLUE algorithm, uncertainty analysis

References

Abbaspour, K.C., 2009. User Manual for SWAT-CUP2, SWAT Calibration and Uncertainty Analysis Programs. Swiss Federal Institute of Aquatic Science and Technology, Eawag, Dübendorf, Switzerland.

Gupta, H.V., Beven, K.J., and Wagener, T., 2005. Model calibration and uncertainty estimation. In: Anderson, M.G. (Ed.), Encyclopedia of Hydrological Sciences. John Wiley, New York.

Hornberger, G.M., Spear, R.C., 1981. An approach to the preliminary-analysis of environmental systems. Journal of Environmental Management 12, 7-18.

Tripathi, M.P., Panda, R.K., Raghuwanshi, N.S., 2003. Identification and prioritization of critical sub-watersheds for soil conservation management using the SWAT model. Biosystems Engineering 85, 365-379.

Yang, J., Reichert, P., Abbaspour, K.C., Xia, J., Yang, H., 2008. Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China. Journal of Hydrology 358, 1-23.



Eurasian Journal of Soil Science