Parameter Estimation in Water Distribution Networks

Shanmugam Kumar (), Shankar Narasimhan () and S. Murty Bhallamudi ()

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2010, vol. 24, issue 6, 1272 pages

Abstract: Estimation of pipe roughness coefficients is an important task to be carried out before any water distribution network model is used for online applications such as monitoring and control. In this study, a combined state and parameter estimation model for water distribution networks is presented. Typically, estimation of roughness coefficient for each individual pipe is not possible due to non-availability of sufficient number of measurements. In order to address this problem, a formal procedure based on K-means clustering algorithm is proposed for grouping the pipes which are likely to have the same roughness characteristics. Also, graph-theoretic concepts are used to reduce the dimensionality of the problem and thereby achieve significant computational efficiency. The performance of the proposed model is demonstrated on a realistic urban water distribution network. Copyright Springer Science+Business Media B.V. 2010

Keywords: State estimation; Parameter estimation; Monitoring and control; Graph theory; Water distribution networks (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:24:y:2010:i:6:p:1251-1272

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DOI: 10.1007/s11269-009-9495-1

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