未充分利用且混合特性差的储罐是一个重要的问题 配水系统内水质退化的可能性。计算流体 动态（CFD）建模和水温测量可以非常有效地 预测罐内的混合特性。本文主要研究CFD建模的应用 以及温度测量，以确定储罐中的混合特性 这项研究发生在弗吉尼亚海滩市。混合预测的结果得到了水的验证 质量数据，用于识别混合特性不充分的储罐，从而 水质退化的最大可能性。 一旦确定了混合问题的性质，就更容易做出适当的选择 对物理和操作进行修改，以改善储罐中的混合。本文还介绍了 提出改进混合的一般建议，并报告实际物理特性 改进了储罐中的混合特性。包括数字。

Storage tanks that are underutilized and have poor mixing characteristics represent a significant potential for water quality degradation within the distribution system. Computational fluid dynamic (CFD) modeling and water temperature measurements can be very effective tools to predict mixing characteristics inside the tanks. This paper focuses on the use of CFD modeling and temperature measurements to determine mixing characteristics in storage tanks, using a case study that occurred with the City of Virginia Beach. The results from mixing predictions are verified by water quality data and used to identify the storage tanks with inadequate mixing characteristics and thus the greatest potential for water quality degradation. Once the nature of the mixing problem is identified, it becomes easier to make the appropriate physical and operational modifications to improve mixing in the storage tanks. This paper also presents general recommendations for improving mixing, and reports on actual physical modifications that have improved mixing characteristics in a storage tank. Includes figures.