Optimum Multicrop-Pattern Planning by Coupling SWAT and the Harmony Search Algorithm
Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 12
Abstract
Crop planning and water resources allocation to meet agricultural demand in arid and semiarid regions such as Iran are a serious challenge. One of the procedures to meet this challenge is to devise approaches for determining the optimal crop patterns based on the limited water resources. In this study, a simulation-optimization approach was applied in which a soil and water assessment tool (SWAT) has been applied for simulating the complex climate–soil–plant relationships. The harmony search (HS) algorithm has been coupled with SWAT to find the optimal irrigation plan and crop pattern in two scenarios in the Azadegan plain in the Karkheh basin in southeastern Iran. In the first scenario, the crop pattern was the variable of the model while in the second one, it was predefined as the existing situation in the plain. The objective function of the coupled model was to maximize the net profit subject to the total available land and water constraints. Results obtained by the developed model show that the net profit gained in the plain has a potential of increasing up to 213% in the first and 25% in the second scenario while the water consumption decreased by 28 and 48%, respectively, compared to the present situation of the plain. Accordingly, the performance of the HS-SWAT model indicates its capability for solving optimum crop-pattern and irrigation-planning problems.
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Acknowledgments
Assistance provided by Dr. Majid Delavar from Tarbiat Modares University, Tehran, Iran and Dr. Saeed Ashraf Vaghefi from Swiss Federal Institute of Aquatic Science and Technology (EAWAG) in preparing the SWAT model of the Azadegan plain are acknowledged.
References
Abbaspour, K. C. (2007). User manual for SWAT-CUP, SWAT calibration and uncertainty analysis programs, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland, 93.
Abbaspour, K. C., et al. (2007). “Modeling hydrology and water quality in the pre-Alpine/Alpine Thur watershed using SWAT.” J. Hydrol., 333(2–4), 413–430.
AquaCrop version 4.0 [Computer software]. Food and Agriculture Organization, Rome.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R. (1998). “Large area hydrologic modeling and assessment—Part 1: Model development.” J. Am. Water Resour. Assoc., 34(1), 73–89.
Ashraf Vaghefi, S., Mousavi, S. J., Abbaspour, K. C., Srinivasan, R., and Arnold, J. R. (2015). “Integration of hydrologic and water allocation models in basin-scale water resources management considering crop pattern and climate change: Karkheh River basin in Iran.” Reg. Environ. Change, 15(3), 475–484.
Ayvaz, M. T. (2009). “Application of harmony search algorithm for the solution of groundwater management models.” Adv. Water Resour., 32(6), 916–924.
Ayvaz, M. T. (2010). “A linked simulation-optimization model for solving the unknown groundwater pollution source identification problems.” J. Contam. Hydrol., 117(1–4), 46–59.
Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M. (1998a). “The surface energy balance algorithm for land (SEBAL): Part 1 formulation.” J. Hydrol., 212–213, 198–212.
Bastiaanssen, W. G. M., Noordman, E. J. M., Pelgrum, H., Davids, G., and Allen, R. G. (2005). “SEBAL for spatially distributed ET under actual management and growing conditions.” J. Irrig. Drain. Eng., 85–93.
Bastiaanssen, W. G. M., et al. (1998b). “The surface energy balance algorithm for land (SEBAL): Part 2 validation.” J. Hydrol., 212–213, 213–229.
Cisty, M. (2008). “Automated calibration of the simulation model of irrigation projects by harmony search optimization.” J. Water Land Dev., 12(1), 3–13.
De Fraiture, C., Cai, X., Rosegrant, M., Molden, D., and Amarasinghe, U. (2003). “Addressing the unanswered questions in global water policy: A methodology framework.” Irrig. Drain., 52(1), 21–30.
FAO (Food and Agriculture Organization). (1995). “The digital soil map of the world and derived soil properties.” Rome.
Faramarzi, M., Yang, H., Schulin, R., and Abbaspour, K. C. (2010). “Modeling wheat yield and crop water productivity in Iran: Implications of agricultural water management for wheat production.” Agric. Water Manage., 97(11), 1861–1875.
Garcia-Vila, M., and Fereres, E. (2012). “Combining the simulation crop model AquaCrop with an economic model for the optimization of irrigation management at farm level.” Eur. J. Agron., 36(1), 21–31.
Gassman, P. W., Reyes, M. R., Green, C. H., and Arnold, J. G. (2007). “The soil and water assessment tool: Historical development, applications, and future research directions.” Trans. ASABE, 50(4), 1211–1250.
Geem, Z. W. (2006). “Optimal cost design of water distribution networks using harmony search.” Eng. Optim., 38(3), 259–277.
Geem, Z. W. (2007). “Optimal scheduling of multiple dam system using harmony search algorithm.” IWANN 2007, LNCS, F. Sandoval, A. G. Prieto, J. Cabestany, and M. Grana, eds., Vol. 4507, Springer, Berlin, 316–323.
Geem, Z. W., and Cho, Y.-H. (2011). “Optimal design of water distribution networks using parameter-setting-free harmony search for two major parameters.” J. Water Res. Plann. Manage., 377–380.
Geem, Z. W., Kim, J.-H., and Loganathan, G. V. (2001). “A new heuristic optimization algorithm: Harmony search.” Simulation, 76(2), 60–68.
Hargreaves, G. L., Hargreaves, G. H., and Riley, J. P. (1985). “Agricultural benefits for Senegal River basin.” J. Irrig. Drain. Eng., 111(2), 113–124.
Immerzeel, W., Gaur, A., and Zwart, S. (2008). “Integrating remote sensing and a process-based hydrological model to evaluate water use and productivity in a south Indian catchment.” Agric. Water Manage., 95(1), 11–24.
IWPC (Iran’s Water and Power Resources Development Company). (2010). “Systems approach to Karkheh River Basin water resources projects (Available in Persian).”, IWPC Research Dept., Tehran, Iran.
Kijne, J. W., Barker, R., and Molden, D. (2003). Water productivity in agriculture: Limits and opportunities for improvement, CABI Publishing, Wallingford, U.K.
Kuo, S. F., and Liu, C. W. (2003). “Simulation and optimization model for irrigation planning and management.” Hydrol. Processes, 17(15), 3141–3159.
Mahdavi, M., Fesanghary, M., and Damangir, E. (2007). “An improved harmony search algorithm for solving optimization problems.” Appl. Math. Comput., 188(2), 1567–1579.
MATLAB version 7.10.0 [Computer software]. MathWorks, Natick, MA.
Molden, D. (1997). “Accounting for water use and productivity.” International Irrigation Management Institute, Colombo, Sri Lanka.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., Williams, J. R., and King, K. W. (2002). “Soil and water assessment tool.”, Texas Water Resources Institute, College Station, TX.
Rijsberman, F. R. (2006). “Water scarcity: Fact or fiction?” Agric. Water Manage., 80(1–3), 5–22.
Rockström, J., et al. (2009). “A safe operating space for humanity.” Nature, 461, 472–475.
Seckler, D., Molden, D., and Barker, R. (1998). “Water scarcity in the twenty-first century.” IWMI water brief 1, International Water Management Institute, Colombo, Sri Lanka.
Singh, A. (2014). “Simulation-optimization modeling for conjunctive water use management.” Agric. Water Manage., 141, 23–29.
Singh, A., and Panda, S. N. (2013). “Optimization and simulation modeling for managing the problems of water resources.” Water Res. Manage., 27(9), 3421–3431.
SWAT-CUP version 5.1.6 [Computer software]. Federal Institute of Technology, Zurich, Switzerland.
Williams, J. R. (1995). “The EPIC model.” Computer models of watershed hydrology, Water Resources Publications, Highlands Ranch, CO, 909–1000.
Yang, J., Reichert, P., Abbaspour, K. C., and Yang, H. (2008). “Comparing uncertainty analysis techniques for a SWAT application to Chaohe Basin in China.” J. Hydrol., 358, 1–23.
Yang, X.-S. (2009). “Harmony search as a metaheuristic algorithm, music-inspired harmony search algorithm: Theory and applications.” Studies in computational intelligence series, Z. W. Geem, ed., WESTAT/Johns Hopkins Univ., Springer, Berlin.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 142 • Issue 12 • December 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Jan 12, 2016
Accepted: Jun 14, 2016
Published online: Jul 21, 2016
Published in print: Dec 1, 2016
Discussion open until: Dec 21, 2016
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