The vulnerability of conventional operational systems in agricultural water distribution systems becomes controversial under successive water shortages. Accordingly, inadequate, unfair, and unreliable surface water distribution has led to crop yield reduction and economic damage. To address these issues, a novel configuration of an automated operating system was developed to mitigate crop yield reductions during times of water scarcity. Using centralized model predictive control (CMPC), an automatedwater distribution control system was developed in MATLAB version (2018a) and integrated with the Aquacrop model to provide an intelligent daily water distribution prioritization within irrigation districts. This study also investigated technical and environmental perspectives in enriching the resilience of agricultural water distribution systems influenced by the water shortage periods. A controversial irrigation district located in central Iran was selected as the test case located in a basin where reported socio-economic and environmental concerns are among the highest in Iran. Application of the developed configuration of the CMPC led to 4.1%, 5.7%, 5.6%, and 7.3%, increasing the crop yield under the water shortage scenarios of 15%, 20%, 25%, and 30%, respectively. Likewise, employing the intelligent operation led to the economic benefit of 8.5, 11.3, 11.9, and 16.8 M US$ by conserving crop production of 3841.4, 5104.8, 5367.6, and 7543.0 tons, respectively, under the scenarios as mentioned above. The proposed method enables water authorities to promote the surface water distribution system in practical, implementable, and step-by-step planning to increase individual and public profits and environmental achievements by reducing water extraction from tube-wells based on the actual water demand potential.

在连续缺水的情况下，农业配水系统​​中常规作业系统的脆弱性成为争议。因此，不充分、不公平和不可靠的地表水分配导致作物减产和经济损失。为了解决这些问题，开发了一种新的自动化操作系统配置，以减轻缺水时期的作物减产. 使用集中模型预测控制 (CMPC)，在 MATLAB 版本 (2018a) 中开发了自动配水控制系统，并与 Aquacrop 模型集成，以提供灌溉区内的智能每日配水优先级。本研究还调查了技术和环境方面的观点，以丰富受缺水时期影响的农业配水系统​​的恢复力。位于伊朗中部的一个有争议的灌溉区被选为位于伊朗社会经济和环境问题最高的盆地的测试案例。应用已开发的 CMPC 配置，在 15%、20%、25% 和 30% 的缺水情景下，分别提高了 4.1%、5.7%、5.6% 和 7.3% 的作物产量。同样地，在上述情景下，采用智能操作分别节省了 3841.4、5104.8、5367.6 和 7543.0 吨的作物产量，带来了 8.5、11.3、11.9 和 1680 万美元的经济效益。所提出的方法使水务部门能够以实际、可实施和分步规划的方式推广地表水分配系统，以根据实际需水潜力通过减少管井的取水量来增加个人和公共利润和环境成就。