In arid regions, irrigation scheduling optimization is efficient in coping with the shortage of agricultural water resources. This paper developed a simulation–optimization model for irrigation scheduling optimization for the main crop in an arid oasis, aiming to maximize crop yield and minimize crop water consumption. The model integrated the soil water balance simulation model and the optimization model for crop irrigation scheduling. The simulation model was firstly calibrated and validated based on field experiment data for maize in 2012 and 2013, respectively. Then, considering the distribution of soil types and irrigation districts in the study area, the model was used to solve the optimal irrigation schedules for the scenarios of status quo and typical climate years. The results indicated that the model is applicable for reflecting the complexities of simulation–optimization for maize irrigation scheduling. The optimization results showed that the irrigation water-saving potential of the study area was between 97 mm and 240 mm, and the average annual optimal yield of maize was over 7.3 t/ha. The simulation–optimization model of irrigation schedule established in this paper can provide a technical means for the formulation of irrigation schedules to ensure yield optimization and water productivity or water saving.

中文翻译：

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基于仿真优化模型的干旱绿洲玉米灌溉计划优化

在干旱地区，灌溉日程优化可以有效解决农业水资源短缺的问题。本文开发了一个模拟优化模型，用于干旱绿洲主要作物的灌溉计划优化，旨在最大程度地提高作物产量并减少作物耗水量。该模型综合了土壤水分平衡模拟模型和作物灌溉计划的优化模型。首先基于2012年和2013年玉米田间试验数据对仿真模型进行了校准和验证。然后，考虑到研究区域土壤类型和灌溉区域的分布，该模型用于求解适合现状和典型气候年的最佳灌溉计划。结果表明，该模型适用于反映玉米灌溉调度模拟优化的复杂性。优化结果表明，研究区的灌溉节水潜力在97mm至240mm之间，玉米的年平均最佳单产超过7.3t / ha。本文建立的灌溉日程模拟优化模型可以为制定灌溉日程提供技术手段，以确保产量的优化和水的生产或节水。