Optimal Water Allocation among Agricultural Consumers Using Crop Pattern Change Approach to Improve Farmers' Livelihood

Document Type : Research Paper

Authors

1 M.Sc. Graduate, Dept. of Water Science and Engineering, Imam Khomeini International University, Qazvin, Iran.

2 Associate professor, Dept. of Water Science and Engineering, Imam Khomeini International University, Qazvin, Iran..

Abstract

Qazvin plain is one of the areas in the country facing a severe shortage of water. In recent years, after the reduction of water allocation to this plain from Taleghan Dam, farmers have been digging illegal wells or over-harvesting existing wells in order to maintain their livelihoods. This has adverse effects, including severe depletion of wells, drying of aqueducts, salinity and degradation of groundwater quality, reduced yield of agricultural products, loss of soil quality, imposition of high costs on well owners, creating a major supply problem. Drinking water in cities and villages and eventually land subsidence (Qazvin Regional Water Authority, 2014). Studies show that the cultivation pattern in the last ten years has been almost constant and included wheat products, forage corn, canola, tomato, alfalfa, barley, sugar beet, peas, beans, potatoes, corn and lentils (Simiari and Mazandaranizadeh, 2017).
Studies have shown that previous studies have either optimized water distribution or optimized cultivation patterns, but this study compared the differences between the two approaches to farmers' livelihoods in order to conserve groundwater resources.

Keywords

Main Subjects

References

  • Barikani, A., Ahmadian, M., Khalilian, S. and Chizari, A., 2011. Optimal sustainable use of groundwater resources in agriculture: Case study subsector in Qazvin Plain. Journal of Agricultural Economics and Development, 25(2), pp.253-262. (In Persian).

 

  • Kashefinezhad, P., Hooshmand, A.and Boroomandnasab, S., 2019. Optimal allocation of water resources using non-dominated sorting genetic algorithm (case study: Hamidiya irrigation network). Journal of Water and Soil Conservation, 25(6), pp. 239-253. (In Persian).

 

  • Khodadadi, S., Yasi, M. and Monem, M., 2017. Performance evaluation and optimization of water delivery schedule in the Zarinehroud irrigation network. Water and Irrigation Management, 7(1), pp.105-120. (In Persian).

 

  • Majidi Khalilabad, M., Majidi Khalilabad, N. and Davari, K., 2020. Economic impact of the groundwater overdraft on agriculture: A case study of the Neishaboor plain. Iranian Journal of Rainwater Catchment Systems, 7(4), pp.21-30. (In Persian).

 

  • Moghaddasi, M., Morid, S. AND Araghinejad, S., 2009. Optimization of water allocation during water scarcity condition using Non-Linear Programming, Genetic Algorithm and Particle Swarm Optimization (Case Study). Iran Water Resources Research, 4(3), pp. 1-13. (In Persian).

 

  • Mohammad khani,M., Karimi,M. and Gomrokchi,A.,2016. Optimization of water allocation between different crops in water stress conditions in Qazvin irrigation network. Journal of Water and Soil, 31(1), pp.1-10. (In Persian).

 

  • Organization of Agricultural- Jihad Qazvin .https://qazvin-ajo.ir/. (In Persian).

 

  • Organization of Agricultural- Jihad Qazvin. 2018. Minimum, average and potential crop yield information. (In Persian).

 

  • Qazvin Regional Water Authority. 2014. Province water resources management reports. (In Persian).

 

  • Qazvin Regional Water Company. http://www.qzrw.ir/. (In Persian).

 

  • Rao, N.H., Sarma, P.B.S. and Chander, S., 1988. A simple dated water-production function for use in irrigated agriculture. Agricultural Water Management, 13(1), pp.25-32.

 

  • Rath, A., Samantaray, S. and Swain, P. C., 2019. Optimization of the Cropping Pattern Using Cuckoo Search Technique. Springer.

 

  • Siasser, H. and Honar, T., 2017. Optimization of water allocation and cropping pattern of dominant agricultural crops using Genetic Algorithm. In 3th International Conference on Agricultural Engineering and Natural Resources. (In Persian).

 

  • Simiari, F. and Mazandarani Zadeh, H., 2017. Optimal redistribution of agricultural water based on Nash collaboration theory. 16th Iranian Hydraulic Conference, Mohaghegh Ardabil University of Ardabil, Ardabil, Iran. (In Persian).

 

  • Singh, A., 2015. Land and water management planning for increasing farm income in irrigated dry areas. Land Use Policy, 42, pp.244-250.

 

  • Sohrabi, T. and Javadpour Berojini, A.,2006.Convayence and distribution efficiencies of Qazvin irrigation network. Agricultural Research, 5(2),pp.68-79. (In Persian).

 

 

  • Yao, W., Ma, X. and Chen, Y., 2019. Optimization of Canal Water in an Irrigation Network Based on a Genetic Algorithm: A Case Study of the North China Plain Canal System. Irrigation and Drainage, 67(4),629-636.
  • Yousefdoost,A. and Mohammadrezapour A.M., 2015. Genetic Algorithm optimization model for water resources allocation in agriculture. In 1th International Conference on Environment and Natural Resources, Kharazmi Institute of Higher Science and Technology, Shiraz, Iran. (In Persian).
Irrigation Sciences and Engineering
Volume 45, Issue 3
December 2022
Pages 47-61

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History

  • Receive Date: 21 May 2020
  • Revise Date: 20 January 2021
  • Accept Date: 23 January 2021
  • Publish Date: 23 October 2022

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