Optimal Allocation of Water Resources in Sistan Chah-Nime Reservoirs under the Water and Soil Management Scenarios

Document Type : Complete scientific research article


1 Associate Professor of Economic Sciences, University of Sistan and Baluchestan, Zahedan

2 Faculty of Environmental Sciences and Sustainable Agriculture, Sistan and Baluchestan University

3 Student of Agricultural Economics, Sistan and Baluchestan University, Zahedan


Background and objectives: Background: Due to the limited surface water resources and reservoir capacity of dams, scientific management and optimal utilization policy of reservoirs is essential and vital in meeting the water requirements. Considering the importance and utilization of water resources and the optimal allocation of this scarce resource among different uses in the Sistan region, it seems necessary to establish a plan to achieve this goal. In the studied area and in the country, so far, an investigation into the optimal allocation of water with the application of advanced PSO algorithm for optimization of semi-Sistan reservoirs has not been used. Therefore, in the present study, the optimal allocation of water resources in the Chah-Nimeh reservoirs under three management scenarios (scenario of stabilization of micro-organisms, agricultural development and transfer of second drinking water from reservoirs to the district of Zahedan) using the metamorphic technique of congestion Particles (PSO) have been investigated.
Materials and Methods: particle swarm optimization method or abbreviated mass optimization (PSO) is a population based stochastic optimization algorithm that simulates the social behavior of birds Group is inspired. In the mass optimization algorithm of particles, there are organisms that they are called particle and are spilled in the search space of a function that is intended to minimize (or optimize) its value. Each particle calculates the value of the target function in the position of the space in which it is located. In this research, the algorithm was used to allocate optimal water resources. The objective function in this research is to optimize and maximize the amount of water supply. Also, the constraints are related to the objective function, the systematic constraints, the constraints and limitations of the algorithm and the constraints and limitations of the reservoirs in the region.
Results: Results: According to the results, the optimum release rate in 1995 (first year) was 39.35 million cubic meters, with the demand of 98.31 million cubic meters, which did not meet the required amount of 72.91 million cubic meters. The comparison of the last four years shows that in the year 29, lack of supply was less than the next three years. The scenario of stabilization of the microstats in the study area was considered as a serious project. The results of this scenario showed that the application of the algorithm used can properly optimize the allocation of water resources. According to the results, it is suggested that ultra-modern modeling can achieve more optimal allocation with the minimum error in the target function.


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