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A Revised Brackish Water Aquifer Storage and Recovery (ASR) Site Selection Index for Water Resources Management

机译:水资源管理修订的微咸水蓄水量和回收(ASR)场地选择指数

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摘要

The performance of a brackish water aquifer storage and recovery (ASR) system is controlled by complex interactions among many variables. Some of these variables can be combined into dimensionless parameters to investigate the physical behavior and performance of an ASR well. Previous research has demonstrated that six dimensionless numbers are most useful for prediction of general performance of planned ASR projects. This paper first summarizes the critical literature and outlines the six dimensionless parameters and their various variable components. Then the new index is developed using the three best parameters. The three dimensionless parameters (RI, R-ASR and D) are normalized, scaled from 0 to 1, and combined through averaging to create a revised "Brackish Water ASR Site Selection Index" or I-ASR. The newly revised index builds upon previous work but also adds new variables important to site selection planning. In order to provide further validity to the index, it is validated against 29 ASR projects in Florida, USA. Finally, the use of the index is demonstrated for the Upper Floridan Aquifer in South Florida, USA. The demonstrated use of the new index illustrates how it can be useful for future ASR planning.
机译:淡水含水层存储和回收(ASR)系统的性能由许多变量之间的复杂相互作用控制。这些变量中的一些可以组合为无因次参数,以研究ASR井的物理行为和性能。先前的研究表明,六个无量纲数对于预测计划的ASR项目的总体绩效最有用。本文首先总结了关键文献,并概述了六个无量纲参数及其各种变量组成部分。然后,使用三个最佳参数来开发新索引。对这三个无量纲参数(RI,R-ASR和D)进行归一化,从0缩放到1,并通过求平均值合并以创建修订的“咸淡水ASR站点选择指数”或I-ASR。新修订的索引以以前的工作为基础,但也增加了对选址计划重要的新变量。为了进一步提高该指数的有效性,已对美国佛罗里达州的29个ASR项目进行了验证。最后,该指数在美国南佛罗里达州的上佛罗里达含水层中得到了证明。新索引的演示用法说明了它如何对将来的ASR规划有用。

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