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Optimization of Nebhana Reservoir Water Allocation by Stochastic Dynamic Programming

机译:随机动态规划法优化Nebhana水库水资源分配。

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This study is devoted to the identification of an optimal rule that would permit to improve the water resources management of dam in arid condition. The Nebhana dam is considered in this study as a representative of a set dams situated in such condition. The water storage is used for irrigation purpose. The identification of an optimal rule is based on two opposite objectives: the satisfaction of the irrigation water demand and the safeguard of a minimal water storage in the dam. By considering different weights for these objectives, the stochastic dynamic programming technique was lead to various optimal rules for the water resources management of the Nebhana dam. This technique takes into account the variability of the volume of water inflow to the dam on the basis of their occurrence probability; the water losses by means of forecasting models and the water resources goals using weight coefficients. The identified optimal rule would permit to estimate the necessary water release volume for irrigation by considering the water storage and the decision period.
机译:这项研究致力于确定一条最佳规则,以改善干旱条件下大坝的水资源管理。在这项研究中,Nebhana大坝被认为是处于这种情况的固定大坝的代表。储水用于灌溉目的。最佳规则的确定基于两个相反的目标:满足灌溉用水需求和保障大坝中最小的蓄水量。通过为这些目标考虑不同的权重,随机动态规划技术导致了Nebhana大坝水资源管理的各种最佳规则。这项技术根据大坝的发生概率考虑了流入大坝的水量的可变性。通过预测模型确定水资源损失,并使用权重系数确定水资源目标。确定的最佳规则将允许通过考虑蓄水量和决策时间来估算灌溉所需的放水量。

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