Abstract
This paper studies the dynamic optimal allocation of irrigation water resources for multi-crop in multiple agricultural subareas. A multistage irrigation scheduling decision making model is developed which takes into account the decision variable, state variable, state transition equation, initial and terminal conditions, constraints, crop-water production function, and evaporated and leached water. In order to deal with the uncertainty of seasonal inflow and rainfall, the fuzzy random simulation is employed. Results analysis for a case problem is presented to demonstrate the performance of the optimization method, which is proved to be very effective and efficient compared to the actual irrigation scheduling situation.
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Acknowledgments
This research was supported by the Post-Doctoral Funding of Sichuan University (Grant No. 0050207602043). We would like to give our great appreciation to the editors and anonymous referees for their helpful and constructive comments and suggestions, which have helped to improve this article.
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Xu, X., Zeng, Z., Minchin, E. (2015). Dynamic Optimal Allocation of Irrigation Water Resources for Multi-crop in Multiple Agricultural Subareas with Fuzzy Random Seasonal Inflow and Rainfall. In: Xu, J., Nickel, S., Machado, V., Hajiyev, A. (eds) Proceedings of the Ninth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47241-5_33
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DOI: https://doi.org/10.1007/978-3-662-47241-5_33
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