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Development of an integrated hydrological-irrigation optimization modeling system for a typical rice irrigation scheme in Central Vietnam

机译:越南中部典型水稻灌溉计划综合水文灌溉优化建模系统的研制

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摘要

In Central Vietnam, farmers report an increasing occurrence frequency of water shortages for irrigation during dry seasons. Particularly during the summer-autumn rice season, water is often insufficient to irrigate the entire rice production areas, and thus restricting rice productivity significantly. In this study, a coupled hydrological irrigation optimization modelling system is developed to optimize irrigation strategies for a typical rice irrigation system in Central Vietnam. The model consists of a fully distributed hydrologic model, which simulates the inflow to a reservoir, and an irrigation model, which optimizes the rice irrigation technology, i.e. Alternate Wetting and Drying (AWD) or Continuous Flooding (CF), irrigation schedule and cropping area under given water constraints. Irrigation strategies are derived based on different initial reservoir water levels at the beginning of the cropping season as well as different maximum water releases. The simulation results show that the initial level of water in the reservoir is crucial: Water levels of less than 90% do not provide sufficient water to irrigate the entire cropping area, whereas a level of 70% restricts the cropping area to 75%. AWD is able to reduce the water input, ranging from 4% to 10%. The adoption of AWD therefore has the potential to irrigate a larger area and may help to increase the profit of the farmers. However, the benefits of AWD can only be achieved after significant investment in the canal system and the reservoir outlet. Since the robustness of the optimization results (performance variability) is crucial for decision support, we estimated the impact of different computing environments on the solutions. Only limited performance variability is found, giving confidence in the robustness of the model for decision support.
机译:在越南中部,农民报告了在干燥季节期间灌溉的水资源短缺的发生频率。特别是在夏季秋季季节,水往往不足以灌溉整个水稻生产区,从而显着限制水稻生产率。在该研究中,开发了一种耦合的水文灌溉优化建模系统,以优化越南中部典型水稻灌溉系统的灌溉策略。该模型包括一个完全分布的水文模型,它模拟了储存器的流入,以及优化水稻灌溉技术,即交替润湿和干燥(AWD)或连续洪水(CF),灌溉计划和种植区域的灌溉模型在给定的水限制下。灌溉策略基于种植季节开始的不同初始水库水平以及不同的最大水释放。仿真结果表明,储层中的初始水平至关重要:水平小于90%,不提供足够的水来灌溉整个种植面积,而70%的水平限制了种植面积为75%。 AWD能够减少水输入,范围为4%至10%。因此,AWD的采用有可能灌溉更大的区域,并有助于增加农民的利润。但是,AWD的益处只能在运河系统和水库出口的大量投资后实现。由于优化结果(性能变异性)的稳健性对于决策支持至关重要,因此我们估计了不同计算环境对解决方案的影响。只发现有限的性能变异性,对决策支持的模型的鲁棒性带来了信心。

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