Presenting a model for water allocation of irrigation and drainage networks using intelligent evolutionary methods
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Due to the water situation in the country and on the other hand the increase in water needs, water resources management is important. Since the major share of water consumption is allocated to the agricultural sector, water allocation is one of the issues that should be considered. In the present study, a new and at the same time high-performance method based on the Whale algorithm (WOA), for the optimal allocation of water resources of Sufi-chai irrigation and drainage network located in East Azerbaijan province in the agricultural sector during the statistical year data were used from 2005 to 2013. The whale algorithm is one of the newest meta-heuristic algorithms inspired by the bubble net hunting method performed by humpback whales. The results were compared with the results of the ICA algorithm. The objective function was determined based on each of the products and their performance and the income from each product, and then the maximization of the objective function and the optimal allocation of water resources was performed by WOA and ICA algorithms. The results showed that by increasing the application coefficient to 0.9, the profit from the optimal water allocation is associated with a 30% increase in economic profit. Meanwhile, the WOA algorithm, compared to the ICA algorithm with an allocation of 1720 MCM per year, has 8.90% of the optimal use of water resources in agriculture. In general, the use of intelligent evolutionary methods can be a good solution for optimal water allocation in the agricultural sector.
Keywords:
Language:
Persian
Published:
Water Management in Agriculture, Volume:9 Issue: 1, 2022
Pages:
31 to 44
https://www.magiran.com/p2503200
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