Crop pattern optimization by using Goal programming (case study: Gharesoo basin)

Document Type : Complete scientific research article

Authors

1 Faculty Member

2 Gorgan university of Agricultural sciences and natural resources

3 Assistant Professor of Agricultural Economics, Gorgan University of Agricultural Sciences & Natural Resources,

4 Gorgan University of Agricultural Sciences and Natural Resources

Abstract

Background and objective:
Water scarcity is one of the major problems for farmers in arid and semi-arid areas, and theexcessive groundwater resources harvesting cause a decrease in groundwater level in aquifers. Therefore, planning for the optimal use of water resources by introducing appropriate cropping patterns, taking into account the maximum profit and minimum water consumption, is necessary. In this study, two methods of conventional linear and goal programming for the ideal planning of appropriate cropping pattern and the optimal harvesting of groundwater resources is presented in Gogan and Kordkuy cites located in Golestan province.
Materials and methods:
The cities of Gorgan and Kordkuy located in Golestan province, which are important agricultural sites, are considered as a study area in this research. After providing information on the area of cultivation, the cost of production and the price of sales of major agricultural products, net irrigation demand was calculated considering irrigation efficiency using NETWAT software. The mentioned data besides information on the potential of groundwater harvesting in both linear and goal programming were compared considering market constraints and the goals of increasing profits and reducing water use to optimize the cropping pattern and groundwater harvesting values.
Results:
The results showed that by using linear programming, water consumption in Gorgan and Kordkuycould be reduced by 19.6 and 8.8 percent, respectively, and the profit from agricultural production in Gorgan and Kordkuy cities will experience increase equal to 12.6 and 10.4 percent. Linear planning suggests that the products such as wheat, rice, potatoes and forage corn in Gorgan city and wheat, rice, rainfed spring soybean and summer cotton in Kordkuy while the goal programming suggests the optimized cropping pattern with an increase of 5 percent in profit and with a 45 percent reduction in water consumption. The results of goal programming showed that the cropping pattern in Gorgan city should be wheat, rice, tomato, and rapeseed while it should be wheat, rice and rainfed spring soybean in Kordkuy.
Conclusion:
The outcomes of linear and goal programming hn this study for determination of optimal cropping pattern in Gorgan and Kordkuy cities show there is no optimal cropping pattern in the current condition. The results of this study indicate the possibility of a reduction in water consumption, as a valuable item in the study area, equal to 46 and 47 percent in Gorgan and Kordluy cities respectively with 5 percent increase in of profit in both cities.

Keywords


1.Ahmadi, Z., Joulaee, R., Kabousi, K., and Keramatzadeh, A. 2017. Optimization of Crop Pattern by Using Linear Programming (case study: Downstream lands of Kosar Golestan Dam). First International Conference on Applied Research in Agriculture, Natural Resources and Environment. (In Persian)
2.Amirnejad, H., and Bahmanpouri S. 2008. Integrate Environmental and Economic Objectives for Agricultural Uses in Determining Optimal Cropping Pattern; Case Study: Beiza Plain Fars Province. J. Agric. Econ. Res. 5: 2. 117-131. (In Persian)
3.Basaki, M. 2010. Quantitative and qualitative study of groundwater resources in the Kordkuy region. Master's Thesis. Shahrood University of Technology. Shahrood, 103p. (In Persian)
4.Chizari, A.H., Sharzehei, Gh.A., and Keramatzadeh, A. 2006. Determination of the Economic Value of the Irrigation Water Using Goal Programming Approach (Case Study of Shirvan Barzo Dam). J. Econ. Res. 40: 4. 39-66. (In Persian)
5.Dahmardeh Ghaleno, M.R., Sheikh, V., Sadoddin, A., and Sabouhi Sabouni, M. 2016. Optimal Cropping Pattern for Water Resources Management in Sistan Region of Iran using Goal Programming Method. Ecopersia. 4: 4. 1555-1567.
6.Eslami Bidgoli, Gh., and Talangi, A. 1999. Ideal Planning Models for Selecting Optimal Portfolio. Fin. Res. J. 4: 13. 50-71. (In Persian)
7.Fathi, F., and Zibaei, M. 2012. Water Resources Sustainability using Goal Programming Approach in optimizing Crop Pattern, Strategy and Irrigation Method. Iran-Water Resources Research. 8: 1. 10-19. (In Persian)
8.Hesam, M., and Kiani, A.R. 2014. Evaluation of Irrigation Efficiency on Some Farms in Golestan Province. Iran. J. Irrig. Drain. 8: 2. 336-343. (In Persian)
9.Hosseinpour, S., Dehghani, A.A., Zahiri, A.R., Shoriyan, M., and Meftah Halghi, M. 2016. Urban water management using water resources planning MODSIM model. J. Water Soil Cons. 22: 5. 153-169. (In Persian)
10.Jafari, A.M., Rezvani, S.M., and Fallah, A. 2008. Proper cropping pattern to deal with dehydration and water crisis in the Ghareh Chay River Basin: Case study in Hamadan province. Third Conference on Water Resources Management, Tabriz, Iran. Iran Water Resources Sciences and Engineering. Tabriz University. (In Persian)
11.Kalbali, E., Ziaee, S., Mardani Najafabadi, M., and Zakerinia, M. 2019. Assessment of Climate Change Impacts on Optimum Cropping Pattern: A Case Study of Ghareso Basin in Golestan Province. J. Iran-Water Resour. Res.15: 3. 258-271. (In Persian)
12.Kenneth, E.B., and Bartlett, E.T. 1975. Resource Allocation through Goal Programming J. Range Manage. 28: 6. 442-447.
13.Keramatzadeh, A., Chizari, A.H., and Mirzaei, A. 2006. Determining the Economic Value of Irrigation Water Through: Optimal Cropping Pattern for Integrated Farm and Horticulture. J. Agric. Econ. Develop. 14: 54. 35-60.
(In Persian)
14.Lee, S.M. 1972. Goal programming for decision analysis. Auerbach Publishers in Philadelphia. 2: 2. 172-180.
15.Mirkarimi, Sh., Joolaie, R., Eshraghi, F., and Shirani Bidabadi, F. 2016. Cropping Pattern Management of Crops with Emphasis on Environmental Considerations (Case Study: Amol Tonship). J. Environ. Sci. Technol.18: 2. 225-263. (In Persian)
16.Momeni, M. 2014. New Topics in Operation Research. Moalef. Press, 312p. (In Persian)
17.Mousavi, S.N., Mobseri, M., and Akbari, S.M. 2011. The Effects of Optimum Cropping Pattern Water Consumption, Income and Rural Poverty: A Case Study of Kazeroon Region. J. Agric. Econ. Deve. 25: 2. 219-226. (In Persian)
18.Nader, H., and Sabouhi Sabouni, M. 2011. Determination of Optimum Water Allocation in Mahabad Dam: Application of Lexicographic Goal Programming. J. Agric. Econ. Res. 3: 3. 1-16. (In Persian)
19.Rostami Meskoupaee, F., Karamatzadeh, A., Jolaee, R., and Kashiri, H. 2015. Economical survey of inputs application in Gorgan׳s cotton production. Iran. J. Cotton Res. 3: 1. 31-15. (In Persian)
20.Shaabani, M.K., Honar, T., and Zibaei, M. 2008. Optimal Management of Irrigation Water Allocation and Cropping Pattern Utilizing Conjunctive Use of Surface and Subsurface Water Resources. J. Water Soil Sci. 12: 44. 53-68. (In Persian)
21.Shirzadi Laskou Kalayeh, S., and Sabouhi Sabouni, M. 2009. Application of Multi Objective Programming in Surface and Groundwater Resources Management in the Savojbolagh Region. 3: 2. 83-98. (In Persian)
22.Vivekanandan, N., and Viswanathan, K. 2007. Optimization of multi-objective cropping pattern using linear and goal programming approaches. MAUSAM. 58: 3. 323-334.
23.Zare Mehrgerdi, M., Mohseni, S., and Vaseghi, A. 2015. Application of goal programming in water resource allocation management (Case study of Yazd city). The 13th National Conference on Irrigation and Reduction of Evaporation, Kerman, Shahid Bahonar University of Kerman. (In Persian)