To date, various simulation and optimization models have been proposed for optimum design of the reservoirs and the downstream irrigation network systems. In most of these models, the minimum reservoir capacity is defined as the objective function that can supply the defined agricultural demands based on a predetermined assumed reliability level. However, the objective functions of minimizing the reservoir capacity may not find the optimum solution economically. In this study, an optimization model for design of a reservoir and the irrigation network is developed with the objective function of maximizing the net benefit gained from the system. The results are presented for two operation policies of S-type and SQ-type which are common linear decision rules (LDR) for the reservoirs. Chance-constrained (CC) stochastic optimization with linear decision rules (LDRs) are presented in this study.

The discussed model which is a deterministic explicit optimization model for a single reservoir and the downstream irrigation network is applied for the Marboreh dam in Iran with the aim of extraction of the optimum reliability level for supplying the agricultural demands. Results indicate that the optimum reliability level is about 50% for the S-type and SQ-type rules in the case studied.

迄今为止，已经提出了各种模拟和优化模型来优化水库和下游灌溉网络系统的设计。在大多数这些模型中，最小水库容量被定义为可以基于预定的假定可靠性水平满足定义的农业需求的目标函数。但是，最小化油藏容量的目标功能可能无法在经济上找到最佳解决方案。在这项研究中，开发了一个用于水库和灌溉网络设计的优化模型，其目标功能是使从该系统获得的净收益最大化。给出了S型和SQ型两种运行策略的结果，这两种策略是水库的通用线性决策规则（LDR）。

所讨论的模型是针对单个水库和下游灌溉网络的确定性显式优化模型，该模型应用于伊朗的Marboreh大坝，目的是提取满足农业需求的最佳可靠性水平。结果表明，在所研究的案例中，对于S型和SQ型规则，最佳可靠性级别约为50％。