Using Bayesian Statistics to Estimate Chlorine Wall Decay Coefficients for Water Supply System
Publication: Journal of Water Resources Planning and Management
Volume 134, Issue 2
Abstract
A model of pipe wall and hydraulic profile effects on free chlorine decay in a water distribution system is developed using a two-step parameter assignment method. The model employs a Bayesian statistical method and Monte Carlo Markov chain to reflect wall decay coefficients as used in EPANET and is demonstrated to provide an efficient approach for EPANET water quality model calibration. The findings indicate that the wall decay coefficients and overall decay rate are largely influenced by flow velocity, pipe diameter, and pipe roughness. The largest impacts are demonstrated on unlined cast iron pipe, and lesser impacts progressively in ductile pipe, and then polyvinylchloride pipe.
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Acknowledgments
The writers wish to thank Laurie Cox, Wendy Gallant, and Bill Desjardins at the Goderich Water Treatment Plant for their excellent assistance in the field program. The financial support provided from the Canada Research Chair Program, and the Joint Infrastructure Interdependence Research Program is gratefully acknowledged.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 134 • Issue 2 • March 2008
Pages: 129 - 137
Copyright
© 2008 ASCE.
History
Received: Feb 14, 2006
Accepted: Jan 19, 2007
Published online: Mar 1, 2008
Published in print: Mar 2008
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