Optimization of Cropping Pattern and Water Resources at Different Levels of Irrigation for Hot and Dry Areas (Case study: Dehloran Plains, Ilam Province)

Document Type : Research Paper


1 Assistant Professor ,Department of Water Engineering, Arak Branch, Islamic Azad University, Arak,Iran

2 Graduated PhD of Department of Water Engineering, Arak Branch, Islamic Azad University, Arak,Iran

3 Assistant Professor, Department of Water and Soil Engineering, Faculty of Agriculture, University of Ilam,Iran


The objective of this research was to save water resources, using nonlinear programming model to optimize the crop pattern under full and deficit irrigation techniques in eight observation fields for eleven predominant irrigated crops, including winter wheat, barley, rapeseed, autumn sugar beet, corn, sorghum, tomato, onion and potatoes, bean and autumn watermelon in the downstream lands of Doyraj Dehloran reservoir located in the southwest of Iran. The yield reduction and net income of each crop were calculated for 50, 60, 70, 80, 90 and 100% of water requirements during the growing season. The objective function for maximizing net profit with different constraints including constant cultivated area was determined for the existing cropping pattern, the policies of the Ministry of Agriculture Jihad and the proposed pattern. In the case of full irrigation, the results showed that the net profit of the Ministry of Agriculture Jihad cropping pattern was increased 1.33, 1.19 and 1.05% for 100, 90 and 80% of water requirement, respectively. Under deficit irrigation conditions (90 and 80%), water resources are saved 18 and 34%, respectively. The proposed cropping pattern, including four crops of wheat, canola, autumn sugar beet and grain corn increased the net profit of 60, 70, 80 and 90% of the crop water requirement treatments by 14.4, 33.6, 54 and 74.7%, respectively, as compared to the existing cropping pattern. In the proposed deficit irrigation treatments, the water resources were saved 60%, 49%, 35% and 19%, respectively. The results of nonlinear programing model showed that the optimization of cropping pattern with deficit irrigation technique, not only increases the net profits, but also it can be effective in conserving surface and ground water resources.


Main Subjects

Abbasi, F. Sohrab, F and Abbasi, N. (2017). Assessing the Efficiency of Irrigation Water in Iran, Journal of Applied Engineering Research on Irrigation and Drainage Structures, Vol17, No67,113-128 pp. (in Persian).
Azimi, V., Salmasi, F., Entekhabi, N., Tabari, H. and Niaghi, R. (2013). Optimization of Deficit Irrigation Using Non-Linear Programming (Case Study: Mianeh Region, Iran).  Intl J Agri Crop Sci. 6 (5), 252-260.
BaniHabib,M.E., Hosseinzadeh,M and Ghareh Goz, M. (2015). Compilation of Nonlinear Planning Model for Water Allocation and Cultivar Pattern in Irrigation Condition (Case Study: Tehran and Alborz Provinces). Iranian Water Researches Journal, 9(4),159-163.(In Farsi).
Chiu, Y. C., Nishikawa, T., and Yeh, W. W. G. (2010). Optimal pump and recharge management model for nitrate removal in the Warren Groundwater basin, California. J Water Res. Pl, 136(3), 299-308.
Dehestani, M., Tavakoli, M., Forodi, M., and Salmani, M. (2011). Challenges and strategies for optimal management of water resources in agriculture, Fifth National Conference on Watershed Management have improved Soil and Water Resources, pp: 3-8.
Fereres, E. and Soriano, M.A. (2007). Deficit irrigation for reducing agricultural water use.J. Exp. Bot. 58, 147–159.
García-Vilaa, M., and Fereresa, E. (2012). Combining the simulation crop model AquaCrop with an economic model for the optimization of irrigation management at farm level. Europ. J. Agronomy 36, 21– 31.
Garga, S. and Dadhich, M. (2014). Integrated non-linear model for optimal cropping pattern and irrigation scheduling under deficit irrigation. Agricultural Water Management (140) 1–13.
Ghasemi, M.M., Karamouz, M. and Shui, L.T. (2016). Farm-based cropping pattern optimization and conjunctive use planning using piece-wise genetic algorithm (PWGA): a case study. Modeling Earth Systems and Environment, 2(1), 1-12.
Hassani S, Ramroodi M, Naghashzadeh M. (2016). Designing cropping pattern by using analytical hierarchy process to allow for optimal exploitation of water. Electronic Journal of Biology. 12, 43-47.
Hsiao, T.C., E. Fereres, E. Acevedo, and D.W. Henderson (1976). Water stress and dynamics of growth and yield of crop plants. Water and plant life. Springer Berlin Heidelberg, 281-305.
Jensen, M. E. (1968). Water consumption by agricultural plants, in T.T kozlowaki (end). Water deficit and plants growth, vol (11), academic press, New York.
Kangrang, A., & Compliew, S. (2010). An application of linear programming model for planning dry- seasonal irrigation system. Trends in Applied Sciences Research, 5(1), 64-70.
Kassahun, T.B., Alamirew, A., Olumana, H.D., Ayave, S and Aklog,D. (2015). Optimizing Cropping Pattern Using Chance Constraint Linear Programming for Koga Irrigation Dam, Ethiopia. Irrigation & Drainage Systems Engineering Journal,4(2).
Ministry of Jahad-Agriculture. (2015). Office of Statistics and Information Technology, a Report on Prices of Agricultural Crops and Production Costs of Agricultural Crops (in Persian).
Ministry of Energy, Ilam Regional Water Authority (2006). Review of Planning of Water Resources and Water Requirements for the Reservior Dam Dehloran Dam. 708230-2060.
Mirkarimi, S. H., Joolaie, R., Eshraghi, F., & Abadi, F. S. B. (2013). Application of fuzzy goal programming in cropping pattern management of selected crops in Mazandaran province: Case study of Amol township. International Journal of Agriculture and Crop Sciences, 6(15), 1062-1067.
 Najarchi, M. (2013). Determination of Optimum Water Consumptive Using Deficit Irrigation Model for Winter Wheat (Case study: Arak, Iran). Natura Journal, 17(7).
Nazarifar, M.H., and Momeni, R. (2011). Validation and evaluation of plant growth model of CropSyst in determination of proper cropping pattern under deficit irrigation conditions. Case study of Shahid Chamran irrigation and drainage network. Journal of Agricultural Science and Technology, 15(56), 49-61. (In Farsi).
Nazarifar, M.H, Salari, A and Momeni, R. (2018). Development of a Nonlinear Programming Model for determination of Optimal Cropping Pattern Based on Deficit Irrigation Scenarios.Iranian Journal of Soil and Water Research, 49(5):1055-1070.
Osama, S., elkholy, M., Kansoh., R. (2017). Optimization of cropping pattern in Egypt, Alexandria engineering journal.(In Press).
Parhizkari, A., mozaffari ,M.M., khaki,M and Taghizade Ranjbari, H. (2015). Optimal allocation of water and land resources in Rudbaralmoot area using FGFP model. Water and Soil Conservation Journal.4(4). (In Farsi)
 Pasquale, S., Theodore, C., Hsiao, E. F and Dirk,Rr. (2012). Yield responses to water. Irrigation and Drainage Paper No. 66. Rome, FAO.
Richard, G.A., Luis, S.P., Dirk, R and Martin,S. (1998). Crop Evapotranspiration (guidelines for computing crop water requirements). Irrigation and Drainage Paper, No. 56. Rome, FAO.
Shreedhar, R., Hiremath, C.G., Shetty, G.G. (2015). Optimization of Croping pattern using Linear Programming Model for Markandeya Command Area. International Journal of Scientific & Engineering Research. 6(9), 1311-1326
Smith, M. 1992. CROPWAT: A computer program for irrigation planning and management. FAO Irrigation and Drainage Paper No. 46. FAO, Rome.