This paper presents the results obtained from the application of a data integration
approach used to study water quality variations in the distribution system. The data
integration approach allows the simultaneous analysis of water quality, system operation
and maintenance data, supervisory control and data acquisition (SCADA) data, hydraulic model and geographical information
systems for a complete analysis and understanding of the parameters that may cause
water quality degradation. This research, part of an on-going AwwaRF project #2764 -
Integrated Water Quality Management, was conducted in selected areas of 2 large US
water utilities, Greater Cincinnati Water Works (Cincinnati, Ohio) and the Denver Water
Department (Denver, Colo.). From the available data set, customer complaints were
selected for study as these can provide an indication of DS water quality variation, most
often of an aesthetic nature. Using the data integration approach with historical
databases, about 25% of the complaints could be explained. In Cincinnati, highly
probable causes of complaints were identified as repair of main breaks and/or valve
operations related to the shut down of water mains. In Denver, these causes included fire
hydrant replacements and routine maintenance, spot flushing, main repairs and valve
operation for hydraulic testing. Includes 6 references, tables, figures.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 920 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 14 |
| Published : | 11/02/2003 |
