Munavalli, GR and Kumar, Mohan MS (2003) Water quality parameter estimation in steady-state distribution system. In: Journal of Water Resources Planning and Management, 129 (2). 124-134 .
PDF
Water_Quality.pdf - Published Version Restricted to Registered users only Download (127kB) | Request a copy |
Abstract
The maintenance of chlorine residual is needed at all the points in the distribution system supplied with chlorine as a disinfectant. The propagation and level of chlorine in a distribution system is affected by both bulk and pipe wall reactions. It is well known that the field determination of wall reaction parameter is difficult. The source strength of chlorine to maintain a specified chlorine residual at a target node is also an important parameter. The inverse model presented in the paper determines these water quality parameters, which are associated with different reaction kinetics, either in single or in groups of pipes. The weighted-least-squares method based on the Gauss-Newton minimization technique is used for the estimation of these parameters. The validation and application of the inverse model is illustrated with an example pipe distribution system under steady state. A generalized procedure to handle noisy and bad (abnormal) data is suggested, which can be used to estimate these parameters more accurately. The developed inverse model is useful for water supply agencies to calibrate their water distribution system and to improve their operational strategies to maintain water quality.
Item Type: | Journal Article |
---|---|
Publication: | Journal of Water Resources Planning and Management |
Publisher: | American Society of Civil Engineers |
Additional Information: | Copyright of this article belongs to American Society of Civil Engineers. |
Keywords: | Decay;Disinfectants;Water quality;Chlorine;Water distribution. |
Department/Centre: | Division of Mechanical Sciences > Civil Engineering |
Date Deposited: | 25 Aug 2011 08:54 |
Last Modified: | 25 Aug 2011 08:54 |
URI: | http://eprints.iisc.ac.in/id/eprint/40305 |
Actions (login required)
View Item |