Optimization of cultivation pattern and density under climate change conditions (case study of Damaneh-Daran plain)

Document Type : Research Article


1 Ph.D student, Water resource engineering, Department of Water Science and Engineering, Faculty of agriculture, Birjand university

2 university of birjand,

3 Assist. Professor, Department of Water Science and Engineering, Minab higher education center, University of Hormozgan


In most countries, agriculture is the largest consumer of water due to its biological nature and strong dependence on nature. As a result, water management in this sector plays an essential role in determining how countries use their water resources. The present study was conducted to optimize the area under cultivation, allocate irrigation water, and maximize crops’ benefit in the Damaneh-Daran plain, Isfahan, Iran, from 2017-2030 under the RPC8.5 scenario using a genetic algorithm. Following monthly runoff estimating by the AWBM model under climate change conditions within a correlation coefficient of 75% indicated that the values of RMSE, MBE, and R of the microscale parameters measured by the Statistical Micro-Scale Model (SDSM) were equal to 8.34, 7.51 and 0.98 in the temperature parameter and -1.28, 6.28, and 0.78 in the precipitation parameter, respectively. Wheat, barley, sugar beet, and fodder corn cultivation were reduced by 2130.6, 1176.1, 112.8, and 516 hectares, respectively, by pattern optimization. The expansion of potato cultivation by 3935.5 hectares reduced water usage by 18.21 Mm3and generated a total profit of 163 million tomans for farmers between 2017 and 30.


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Volume 9, Issue 1
April 2022
Pages 227-242
  • Receive Date: 14 September 2021
  • Revise Date: 26 February 2022
  • Accept Date: 26 February 2022
  • First Publish Date: 21 March 2022
  • Publish Date: 21 March 2022