Water Distribution System Aggregation for Water Quality Analysis
Publication: Journal of Water Resources Planning and Management
Volume 134, Issue 3
Abstract
Control and design problems of water distribution systems rely on simulation models for predicting the system behavior under dynamic boundary conditions. A detailed network model may result in thousands to tens of thousands of pipelines and nodes, making the system hydraulics and water quality analysis a complicated task. In this manuscript a methodology and application of a conjunctive hydraulic and water quality model for water distribution systems aggregation is presented. The model outcome provides a reduced network with fewer nodes and links which resembles the original system performance in both the hydraulics (i.e., quantities and pressures) and water quality (i.e., concentrations) at high accuracy. The proposed methodology is demonstrated using the three example applications of EPANET.
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Acknowledgments
This Research was supported by the Technion Grand Water Research Institute (GWRI), the Institute for Future Defense Technologies Research Named for The Medvedi, Shwartzman and Gensler families, and by NATO [Science for Peace (SfP) Project No. UNSPECIFIEDCBD.MD.SFP 981456].
References
Anderson, E. J., and Al-Jamal, K. H. (1995) “Hydraulic-network simplification.” J. Water Resour. Plann. Manage., 121(3), 235–240.
Hamberg, D., and Shamir, U. (1988). “Schematic models for distribution systems design. I: Combination concept.” J. Water Resour. Plann. Manage., 114(2), 129–140.
Hammerlin, G., and Hoffman, K. H. (1991). “Numerical mathematics.” Graduate texts in mathematics, Springer, New York.
Tarjan, R. (1972) “Depth-first search and linear graph algorithms.” SIAM J. Comput., 1(2), 146–160.
Ulanicki, B., Zehnpfund, A., and Martinez, F. (1996). “Simplification of water distribution network models.” Proc., 2nd Int. Conf. on Hydroinformatics, Zurich, Switzerland, 493–500.
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© 2008 ASCE.
History
Received: Feb 12, 2007
Accepted: Jun 15, 2007
Published online: May 1, 2008
Published in print: May 2008
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