Abstract In this paper, a new methodology is developed for the allocation of groundwater to agricultural lands considering the cultivated area of different crops, selling price and net benefit of products, and crops’ water requirements. The methodology includes an integrated model with daily time steps for simulating soil water balance, cultivar growth, and groundwater level fluctuations. The developed simulation model is linked with a particle swarm optimization model to find the optimal net benefit of beneficiaries. The non-dominated sorting genetic algorithm is also implemented to evaluate the fuzzy responses of the model against the existing uncertainty in the water supply. To evaluate the applicability and efficiency of the proposed methodology, it is applied to a real-world common pool groundwater allocation for agricultural uses in Iran. The results show that a centralized water allocation strategy can increase water productivity under water stress conditions by more than 0.2 kg/m3 for wheat, and barley. This policy can also provide the highest values for the benefit per cost ratio and the economic efficiency of land.

中文翻译：

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制定日常公共池地下水分配框架以满足农业地区的需求

摘要 在本文中，考虑到不同作物的耕地面积、产品的销售价格和净收益以及作物对水的需求，开发了一种新的农业用地地下水分配方法。该方法包括一个具有每日时间步长的集成模型，用于模拟土壤水平衡、栽培品种生长和地下水位波动。开发的模拟模型与粒子群优化模型相联系，以找到受益人的最佳净收益。还实施了非支配排序遗传算法来评估模型对供水中存在的不确定性的模糊响应。为了评估所提议方法的适用性和效率，将其应用于伊朗用于农业用途的现实世界公共池地下水分配。结果表明，集中水资源分配策略可以将小麦和大麦在缺水条件下的水分生产力提高 0.2 kg/m3 以上。该政策还可以为土地的成本收益比和土地经济效率提供最高值。