Abstract

The implementation of conventional supply-based mechanisms, in which the allocation of irrigation water entitlement for individual farmers is determined by their specific water requirements, has resulted in the inefficiency of economic processes and the squandering of water resources. This paper introduces a new dynamic bi-objective equity framework within an irrigation system. The framework aims to minimize the disparity of water supply per net benefit at the upper level and optimize the disparity of water shortage at the lower level. In order to obtain a feasible and satisfactory outcome, the study considers the use of fuzzy goal programming and Improved Particle Swarm Optimization (IBPSO) to analyze the initial data gathered from Sistan Basin, a real arid area in Iran. The uncertainty surrounding inflow, planting area, and irrigation coefficient has presented potential challenges for the irrigation process. As a result, new adaptation measures are being explored to mitigate the effects of these challenges. The following study examines the equity of the irrigation system under various scenarios in light of the anticipated deterioration of climatic patterns in the coming years, and offers constructive insights. The final results indicate that watermelon has the highest water consumption, whereas grapes exhibit lower sensitivity to water availability. The adoption of adaptation strategies, such as transitioning from water-intensive and low-value watermelon cultivation to alternative crops like wheat, could significantly enhance water conservation efforts in arid and semi-arid regions.

中文翻译：

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加强农业用水公平分配：多种适应策略下提高灌溉公平指数的新型优化框架

摘要

传统的基于供应的机制的实施，即根据农民的具体用水需求来分配灌溉水权，导致了经济进程的低效率和水资源的浪费。本文介绍了灌溉系统内的一种新的动态双目标公平框架。该框架旨在最大限度地减少上层单位净效益供水量的差距，并优化下层缺水的差距。为了获得可行且令人满意的结果，该研究考虑使用模糊目标规划和改进粒子群优化（IBPSO）来分析从伊朗真实干旱地区锡斯坦盆地收集的初始数据。流入量、种植面积和灌溉系数的不确定性给灌溉过程带来了潜在的挑战。因此，正在探索新的适应措施，以减轻这些挑战的影响。以下研究根据未来几年气候模式的预期恶化，考察了各种情景下灌溉系统的公平性，并提供了建设性见解。最终结果表明，西瓜的耗水量最高，而葡萄对水的可用性的敏感性较低。采取适应战略，例如从水密集型和低价值西瓜种植转向小麦等替代作物，可以显着加强干旱和半干旱地区的节水工作。