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

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Edition: Vol. - No. Published: 06/15/2003 Number of Pages: 14File Size: 1 file , 950 KB