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This paper presents the results obtained from the application of a data integrationapproach used to study water quality variations in the distribution system. The dataintegration approach allows the simultaneous analysis of water quality, system operationand maintenance data, supervisory control and data acquisition (SCADA) data, hydraulic model and geographical informationsystems for a complete analysis and understanding of the parameters that may causewater quality degradation. This research, part of an on-going AwwaRF project #2764 -Integrated Water Quality Management, was conducted in selected areas of 2 large USwater utilities, Greater Cincinnati Water Works (Cincinnati, Ohio) and the Denver WaterDepartment (Denver, Colo.). From the available data set, customer complaints wereselected for study as these can provide an indication of DS water quality variation, mostoften of an aesthetic nature. Using the data integration approach with historicaldatabases, about 25% of the complaints could be explained. In Cincinnati, highlyprobable causes of complaints were identified as repair of main breaks and/or valveoperations related to the shut down of water mains. In Denver, these causes included firehydrant replacements and routine maintenance, spot flushing, main repairs and valveoperation for hydraulic testing. Includes 6 references, tables, figures.

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Edition: Vol. - No. Published: 11/02/2003 Number of Pages: 14File Size: 1 file , 920 KB