Application of Swap Model to Predict Yield and Soil Salinity for Sustainable Agriculture in an Arid Region

Application of Swap Model to Predict Yield and Soil Salinity for Sustainable Agriculture in an Arid Region

B. Mostafazadeh-Fard H. Mansouri S.F. Mousavi M. Feizi 

Irrigation Department, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran

Isfahan Agricultural and Natural Resources Research Center, Isfahan, Iran

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Due to lack of suitable water resources, many farmers in Iran are using saline river or groundwater for irrigation, which causes gradual accumulation of salts in the soil. For sustainable agricultural productions, appropriate irrigation management practices should be applied if the saline irrigation water is to be used for irrigation. The soil–water–atmosphere–plant model is a physical-based model that can be used to simulate crop yield and soil salinity, among others. To collect field data to apply to this model as input and calibrate it, a field experiment planted with wheat was conducted on a silty clay loam soil, in central part of Iran (Rudasht region near Isfahan with annual average precipitation of about 80 mm), with three irrigation water salinity levels of 2, 8 and 12 dS/m with/without leaching levels of 4, 19 and 32% with two different irrigation water managements, using factorial design with four replications. The results showed that the model is applicable in this arid region and have low sensitivity to input data of root distribution depth and irrigation water salinity and medium sensitivity to climate data, soil surface layer hydraulic characteristics, leaf area index and amount of irrigation. The model simulated wheat yield and soil salinity and the calibration coefficients were obtained. The results showed that the model could be used to predict yield and soil salinity for sustainable agricultural production in an arid region.


Iran, soil salinity, SWAP model, wheat, yield


[1] Choudhary, O.P., Ghuman, B.S., Josan, A.S. & Bajwa, M.S., Effect of alternating irrigation with sodic and non-sodic waters on soil properties and sunfl ower yield. Agricultural Water Management, 85, pp. 151–156, 2006.

[2] Poustini, K. & Siosemardeh, A., Ion distribution in wheat cultivars in response to salinity stress. Field Crops Research, 85, pp. 125–133, 2004.

[3] Tanwir, F., Saboor, A. & Nawaz, N., Soil salinity and the livelihood strategies of small farmers: a case study in Faisalabad district, Punjab, Pakistan. International Journal of Agriculture and Biology, 5(4), pp. 440–441, 2003.

[4] Ould Ahmed, B.A., Yamamoto, T., Rasiah, V., Inoue, M. & Anyoji, H., The impact of saline water irrigation management options in a dune sand on available soil water and its salinity. Agricultural Water Management, 88, pp. 63–72, 2007.

[5] Feizi, M., Considering the Effect of Water Quality and Quantity on Desalinization of Isfahan Rudasht Soils, Technical Research Report, Isfahan Agricultural and Natural Resources Research Center: Isfahan, Iran, Vol. 8, issue 1, pp. 16–34, 1993.

[6] Ashby, M., Dolman, A.J., Kabat, P., Moors, E.J. & Ogink-Hendriks, M.J., SWAPS Version 1.0. Technical Reference Manual, Technical document 42, Winand Staring Centre: Wageningen, 1996.

[7] Van Dam, J.C., Huygen, J., Wesseling, J.G., Feddes, R.A., Kabat, P., Van Walsum, P.E.V., Groenendijk, P. & Van Diepen, C.A., Theory of SWAP Version 2.0. Department of Water Resources, Wageningen Agricultural University, Report No. 71, 1997.

[8] Brandyle, T., Szaty, L., Gnatow, S. & Tomasz, O., Examination of SWAP Suitability to Predict Soil Water Conditions in a Field Peat-Moorsh Soil, Department of Water Resources, Wageningen Agricultural University. Report No. 69, 2005.

[9] Eitzinger, J., Trnka, M., Hösch, J., Žalud, Z. & Dubrovský, M., Comparison of CERES, WOFOST and SWAP models in simulating soil water content during growing season under different soil conditions. Ecological Modelling, 171, pp. 223–246, 2004.

[10] Van der Salm, C., Van der Gon, H.D., Wieggers, R., Bleeker, A. & Van den Toorn, A., The effect of afforestation on water recharge and nitrogen leaching in the Netherlands. Forest Ecology and Management, 221, pp. 170–182, 2005.

[11] Singh, R., Simulation on direct and cyclic use of saline waters for sustaining cotton-wheat in a semi-arid area of north-west India. Agricultural Water Management, 66, pp. 153–162, 2004.

[12] Lane, J.W. & Ferreira, V.A., Sensitivity analysis. In CREAMS: A Field Scale Model for Chemical, Runoff and Erosion from Agricultural Management Systems, ed. W.G. Knisel, A Model Documentation, VSDA Conservation Research Report No. 26, pp. 113–158, 1980.

[13] Ines, A.V.M., Honda, K., Das Gupta, A., Droogers, P. & Clemente, R.S., Combining remote sensing-simulation modelling and genetic algorithm optimization to explore water management options in irrigated agriculture. Agricultural Water Management. Available at:, 2006.

[14] Singh, R., Van dam, J.C. & Feddes, R.A., Water productivity analysis of irrigated crops in Sirsa district, India. Agricultural Water Management, 82, pp. 253–278, 2006.