Sustainable ecosystem management based on optimal water allocation and equity measures

Water Science & Technology: Water Supply Pub Date : 2023-10-24 DOI:10.2166/ws.2023.276

Guo Li

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Abstract

Abstract Allocation of water resources is an interesting research topic and one of the main challenges of arid regions. From the point of view of agriculture, this issue is closely related to ecological balance, economic development and social stability. Therefore, fair, efficient and sustainable allocation of water resources for users and decision-making is essential. This paper presents a dynamic stochastic programming model that predicts soil moisture content in a growing season based on data collected from an experimental farm. The model included three types of loam soil, silt loam and clay loam with three treatments of irrigation intervals of 3, 7, 10 and 14 days and three amounts of water allocation with three replications. The proposed framework was evaluated with two criteria of spatial and temporal equity, and the optimal water allocation was analyzed based on this criterion. The results showed that the criterion of temporal equity for loam soil with 7-day irrigation intervals is more than twice that of 14-day irrigation intervals. In addition, the depth of irrigation has had the greatest impact on the fluctuations of the criterion of equity in water allocation in the growing season.

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基于水资源优化分配和公平措施的可持续生态系统管理

水资源配置是干旱区研究的热点问题，也是干旱区面临的主要挑战之一。从农业的角度来看，这一问题与生态平衡、经济发展和社会稳定密切相关。因此，公平、高效和可持续地为用户和决策分配水资源至关重要。本文提出了一种基于实验农场数据的动态随机规划模型，用于预测生长季节土壤水分含量。该模型包括3种类型的壤土、粉砂壤土和粘壤土，灌溉间隔分别为3、7、10和14 d, 3种水量分配，3个重复。采用空间公平和时间公平两种评价标准对该框架进行评价，并在此基础上对水资源的最优配置进行了分析。结果表明:灌溉间隔7 d的壤土时间公平指标是灌溉间隔14 d的2倍以上;此外，灌溉深度对生长季节水分分配公平标准波动的影响最大。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Water Science & Technology: Water Supply

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