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A practical surface irrigation system design based on volume balance model and multi-objective evolutionary optimization algorithms

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  • Pazouki, Ehsan

Abstract

Agriculture has always been considered as an important source of food supply, and the optimal use of its resources, specially water, for productive agriculture has been given especial attention. In this paper a simulation-optimization model based on the volume balance model for designing an efficient and practical irrigation system is presented. The proposed model uses the multi-objective evolutionary algorithm for optimizing design parameters of different irrigation systems, furrow, border and basin. Using appropriate constraints and applying performance indicators in first and subsequent irrigations, practical and theoretical optimal designs are obtained. The proposed model achieves a more practical design using three novel approaches. First, simultaneously considering the performance indicators of the first and subsequent irrigations. Second, using both total time required for irrigation and inflow rate of the field. Third, considering the labor required to implement the obtained design. In this study, the proposed model was evaluated performing several experiments on 16 fields. To get better results, an evolutionary method called MetaGA is used to properly tune the parameters of the simulation-optimization model. Results of the simulation stage of the proposed model were compared with results of two simulation software in the irrigation systems, SIRMOD and SURDEV and the simulation stage was validated. Results of the proposed model were evaluated using the results of two other models, EDOSIM and multi-objective, in 16 fields, based on 5 performance indicators. The results of this study reveal that the proposed model in most fields and indicators achieves better results and the results are close in the others.

Suggested Citation

  • Pazouki, Ehsan, 2021. "A practical surface irrigation system design based on volume balance model and multi-objective evolutionary optimization algorithms," Agricultural Water Management, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:agiwat:v:248:y:2021:i:c:s0378377421000202
    DOI: 10.1016/j.agwat.2021.106755
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    References listed on IDEAS

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    1. Bautista, E. & Clemmens, A.J. & Strelkoff, T.S. & Schlegel, J., 2009. "Modern analysis of surface irrigation systems with WinSRFR," Agricultural Water Management, Elsevier, vol. 96(7), pages 1146-1154, July.
    2. Salahou, Mohamed Khaled & Jiao, Xiyun & Lü, Haishen, 2018. "Border irrigation performance with distance-based cut-off," Agricultural Water Management, Elsevier, vol. 201(C), pages 27-37.
    3. Mazarei, Reza & Mohammadi, Amir Soltani & Naseri, Abd Ali & Ebrahimian, Hamed & Izadpanah, Zahra, 2020. "Optimization of furrow irrigation performance of sugarcane fields based on inflow and geometric parameters using WinSRFR in Southwest of Iran," Agricultural Water Management, Elsevier, vol. 228(C).
    4. Ahmad KhazaiPoul & Ali Moridi & Jafar Yazdi, 2019. "Multi-Objective Optimization for Interactive Reservoir-Irrigation Planning Considering Environmental Issues by Using Parallel Processes Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(15), pages 5137-5151, December.
    5. Fadul, E. & Masih, I. & De Fraiture, C. & Suryadi, F.X., 2020. "Irrigation performance under alternative field designs in a spate irrigation system with large field dimensions," Agricultural Water Management, Elsevier, vol. 231(C).
    6. Sumant Choudhari & P. Anand Raj, 2010. "Multiobjective Multireservoir Operation in Fuzzy Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2057-2073, August.
    7. Smith, R.J. & Uddin, M.J. & Gillies, M.H., 2018. "Estimating irrigation duration for high performance furrow irrigation on cracking clay soils," Agricultural Water Management, Elsevier, vol. 206(C), pages 78-85.
    8. Bautista, E. & Clemmens, A.J. & Strelkoff, T.S. & Niblack, M., 2009. "Analysis of surface irrigation systems with WinSRFR--Example application," Agricultural Water Management, Elsevier, vol. 96(7), pages 1162-1169, July.
    9. Akbari, Mahmood & Gheysari, Mahdi & Mostafazadeh-Fard, Behrouz & Shayannejad, Mohammad, 2018. "Surface irrigation simulation-optimization model based on meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 201(C), pages 46-57.
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    Cited by:

    1. Nejlaoui, Mohamed & Alghafis, Abdullah & Sadig, Hussain, 2022. "Six sigma robust multi-objective design optimization of flat plate collector system under uncertain design parameters," Energy, Elsevier, vol. 239(PA).
    2. Pazouki, Ehsan, 2021. "A practical surface irrigation design based on fuzzy logic and meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 256(C).
    3. Pazouki, Ehsan, 2023. "A smart surface irrigation design based on the topographical and geometrical shape characteristics of the land," Agricultural Water Management, Elsevier, vol. 275(C).

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