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Information Journal Paper

Title

OPTIMUM CROP PATTERNING BY INTEGRATING SWAT AND THE HARMONY SEARCH OPTIMIZATION ALGORITHM

Pages

  72-88

Abstract

 This study suggests a structure which is based on developing a mathematical model for simulation of complex relationships among water, soil, plant, and climate along with the optimization of irrigation allocation and CROP PATTERN planning. SWAT model was employed to bear the task of simulation and HS algorithm took care of the optimization of the water usage and CROP PATTERN. Also, two scenarios were aimed to investigate this approach. In the first scenario (base), the CROP PATTERN was the variable of the model while in the second one it was predefined as the existing situation in the target plain. The objective function of the coupled model was to maximize the net profit subject to the total available land and water constraints. Results obtained by the developed model showed that the net profit gained in the plain has a potential of increase up to 213% and 23% in the first and second scenario, respectively. The water consumption decreased 28% and 48% respectively for the first and second scenarios comparing to the present situation of the plain. Accordingly, the performance of the HS-SWAT model indicated its capability for solving the optimum CROP PATTERN and irrigation planning problems.

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    APA: Copy

    RAFIEE, V., SHOURIAN, M., & ATTARI, J.. (2017). OPTIMUM CROP PATTERNING BY INTEGRATING SWAT AND THE HARMONY SEARCH OPTIMIZATION ALGORITHM. IRAN-WATER RESOURCES RESEARCH, 13(3 ), 72-88. SID. https://sid.ir/paper/100267/en

    Vancouver: Copy

    RAFIEE V., SHOURIAN M., ATTARI J.. OPTIMUM CROP PATTERNING BY INTEGRATING SWAT AND THE HARMONY SEARCH OPTIMIZATION ALGORITHM. IRAN-WATER RESOURCES RESEARCH[Internet]. 2017;13(3 ):72-88. Available from: https://sid.ir/paper/100267/en

    IEEE: Copy

    V. RAFIEE, M. SHOURIAN, and J. ATTARI, “OPTIMUM CROP PATTERNING BY INTEGRATING SWAT AND THE HARMONY SEARCH OPTIMIZATION ALGORITHM,” IRAN-WATER RESOURCES RESEARCH, vol. 13, no. 3 , pp. 72–88, 2017, [Online]. Available: https://sid.ir/paper/100267/en

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