Increasing the productivity of agricultural water under the optimization scenario of water resource allocation using the algorithm (NSGA-II) (case study: Tajen basin of Mazandaran province)
1
Sari University of Agricultural Sciences and Natural Resources
2
SANRU
3
Water structures of Tarbiat Modares University
10.22059/jwim.2024.369097.1122
Abstract
The present research deals with increasing agricultural water productivity in Tajen basin of Mazandaran province by using optimal allocation. In the current research, to find the most optimal allocation of water from the available water sources in the study area, the optimization method with genetic algorithm with non-superior ranking was used and SWMM model was used to estimate the runoff resulting from precipitation. Since the model of optimal allocation of water resources is multi-objective and has more than one optimal response, none of which is superior to the other, and the appropriate response is selected based on the management conditions, three responses were selected from the optimal responses in the form of three scenarios to be compared with the current conditions of water allocation. The results showed that the optimization of water allocation caused an increase in agricultural water productivity by 76% for citrus fruits, 47% for rice, 60% for oilseeds, 59% for corn, 64% for wheat, 77% for vegetables and 76% for cotton for the third scenario. which is a desert scenario. Also, the economic profit has increased by 33% on average. According to the results, wheat products, vegetables and oilseeds after rice and citrus have the highest production and yield compared to other products in the study area. The optimal cultivated area for these products is equal to 3200, 2700, 5523 hectares, respectively. By optimizing the allocation of water resources while saving significant water consumption, the production product per water consumption as well as the economic profit can be increased depending on the chosen solution.
sahabifard, F. Z., Shahnazari, A., & sadeghi, S. (2024). Increasing the productivity of agricultural water under the optimization scenario of water resource allocation using the algorithm (NSGA-II) (case study: Tajen basin of Mazandaran province). Water and Irrigation Management, (), -. doi: 10.22059/jwim.2024.369097.1122
MLA
fatemeh zahra sahabifard; Ali Shahnazari; sonia sadeghi. "Increasing the productivity of agricultural water under the optimization scenario of water resource allocation using the algorithm (NSGA-II) (case study: Tajen basin of Mazandaran province)". Water and Irrigation Management, , , 2024, -. doi: 10.22059/jwim.2024.369097.1122
HARVARD
sahabifard, F. Z., Shahnazari, A., sadeghi, S. (2024). 'Increasing the productivity of agricultural water under the optimization scenario of water resource allocation using the algorithm (NSGA-II) (case study: Tajen basin of Mazandaran province)', Water and Irrigation Management, (), pp. -. doi: 10.22059/jwim.2024.369097.1122
VANCOUVER
sahabifard, F. Z., Shahnazari, A., sadeghi, S. Increasing the productivity of agricultural water under the optimization scenario of water resource allocation using the algorithm (NSGA-II) (case study: Tajen basin of Mazandaran province). Water and Irrigation Management, 2024; (): -. doi: 10.22059/jwim.2024.369097.1122
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