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A study of multi-objective dynamic water resources allocation modeling of Huai River

机译:淮河多目标动态水资源配置模型研究

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Water resources supply and demand has become a serious problem. Water resources allocation is usually a multi-objective problem, and has been of concern for many researchers. In the north of China, the lack of water resources in the Huai River Basin has handicapped the development of the economy, especially badly in the low-flow period. So it is necessary to study water resources allocation in this area. In this paper, a multi-objective dynamic water resources allocation model has been developed. The developed model took the overall satisfaction of water users in a time interval as the objective function, applied an improved simplex method to solve the calculation, considered the overall users' satisfaction variation with time, and followed the principle that the variation of the system satisfaction within adjacent periods of time must be minimal. The established model was then applied to the Huai River, for the present situation (2010), short-term (2020) and long-term (2030) planning timeframes. From the calculation results, the overall satisfaction in late May and mid September in 2030 was 0.65 and 0.70. After using the model allocation optimization, the overall satisfaction was improved, increasing to 0.78 and 0.79, respectively, thus achieving the dynamic balance optimization of water resources allocation in time and space. This model can provide useful decision support in water resources allocation, when it is used to alleviate water shortages occurring in the low-flow period.
机译:水资源供需已成为严重问题。水资源分配通常是一个多目标问题,并已引起许多研究者的关注。在中国北方,淮河流域水资源的缺乏阻碍了经济的发展,尤其是在低流量时期。因此有必要研究该地区的水资源配置。本文建立了多目标动态水资源配置模型。该模型以一定时间间隔内用户的总体满意度为目标函数,采用改进的单纯形法求解该计算,考虑用户总体满意度随时间的变化,遵循系统满意度变化的原理。在相邻的时间段内必须最小。然后将已建立的模型应用于淮河的现状(2010年),短期(2020年)和长期(2030年)计划时间表。根据计算结果,2030年5月下旬和9月中旬的总体满意度为0.65和0.70。使用模型分配优化后,总体满意度得到提高,分别达到0.78和0.79,从而实现了水资源的时空动态平衡优化。当该模型用于缓解低流量时期出现的水资源短缺时,可以为水资源分配提供有用的决策支持。

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