论文标题
水去哪里?基于多目标决策的水资源分配方法
Water Goes Where? A Water Resource Allocation Method Based on Multi-Objective Decision-Making
论文作者
论文摘要
长期以来,水和水力发电是相对重要的资源。它们的合理分布与区域农业,工业,居民等密切相关。在本文中,我们主要研究科罗拉多河流域格伦峡谷大坝和胡佛大坝的分配问题。考虑到各种因素,我们构建模型以实现最佳计划。首先,我们提出了水战略决策模型,该模型可以为不同的水位获得不同的分布方法。另外,我们将两个大坝串联连接起来,以考虑它们之间的耦合效果,并将该部分集成到主模型中。其次,我们提出了三个针对水和发电的分配标准,即经济,社会和环境利益。社会福利主要包括农业,工业和居民的水和电力短缺。对于这个多目标计划,在恒定总水量的约束下,使用多目标蚂蚁菌落遗传算法来解决该模型,最后,两个湖泊的当前储层能力是输入的,以将年度供水推导到五个州。第三,根据五个州的位置和发展特征,我们根据地理行业特征的优先级获得了水调度模型。第四,我们可以将该模型视为工业,农业,住宅和发电水需求的四维空间。多维空间的部分导数计算公式可用于获得结果。最后,我们分析了模型的灵敏度,并表明该模型具有强大的适应性,并且更容易普及。此外,我们讨论了模型的优势和缺点。
For a long time, water and hydroelectric power are relatively important resources. Their rational distribution is closely related to regional agriculture, industry, residents, etc. In this paper, we mainly study the problem of allocation scheme for Glen Canyon Dam and Hoover Dam in the Colorado River Basin. Taking into consideration of various factors, we build models to achieve optimal scheduling. Firstly, we propose the Water Strategy Decision Model, which can obtain different distribution methods for the different water levels. Also, we connect the two dams in series to consider the coupling effect between them and integrate this part into the main model. Secondly, we propose three criteria of allocation for water and power generation, namely, economic, social, and environmental benefits. Social benefits mainly include the minimum shortage of water and electricity for agriculture, industry, and residents. For this multi-objective plan, the model is solved using a multi-objective ant colony genetic algorithm under the constraint of constant total water volume, and finally, the current reservoir capacities of the two lakes are input to derive the annual water supply to the five states. Thirdly, based on the location and development characteristics of the five states, we obtain a water scheduling model based on the priority of geographic-industry characteristics. Fourthly, we can regard the model as a four-dimensional space of industrial, agricultural, residential and power generation water demand. The partial derivative calculation formula of multi-dimensional space can be used to obtain the results. Finally, we analyze the sensitivity of the model, and it shows that the model has strong adaptability and is easier to popularize. Moreover, we discuss the advantages and disadvantages of the models.