Demand and Roughness Estimation in Water Distribution Systems

Doosun Kang, Kevin E Lansey

Research output: Contribution to journalArticle

45 Citations (Scopus)

Abstract

To provide more accurate estimates and account for associated uncertainties, a parameter estimation methodology for water distribution systems (WDSs) that combines demand and parameter estimation processes is proposed. A two-step sequential method for dual estimation of demand and roughness coefficient is presented based on a weighted least-squares scheme using field measurements of pipe flow rates and nodal pressure heads under multiple demand conditions. The uncertainties in the estimated variables and resulting nodal pressure predictions are quantified in terms of confidence limits using the first-order second moment method. The algorithm is applied to two network systems including a midsized real WDS. The two-step sequential model provides accurate and precise estimates while joint estimation provides poor estimates.

Original languageEnglish (US)
Pages (from-to)20-30
Number of pages11
JournalJournal of Water Resources Planning and Management
Volume137
Issue number1
DOIs
StatePublished - May 4 2010

Fingerprint

Water distribution systems
distribution system
Parameter estimation
roughness
Surface roughness
water
demand
Pipe flow
Method of moments
pipe flow
Flow rate
uncertainty
methodology
confidence
prediction
Uncertainty
water distribution system
method
parameter estimation

Keywords

  • Calibration
  • Demand estimation
  • Sequential estimation
  • Uncertainty analysis
  • Weighted least squares

ASJC Scopus subject areas

  • Water Science and Technology
  • Civil and Structural Engineering
  • Management, Monitoring, Policy and Law
  • Geography, Planning and Development

Cite this

Demand and Roughness Estimation in Water Distribution Systems. / Kang, Doosun; Lansey, Kevin E.

In: Journal of Water Resources Planning and Management, Vol. 137, No. 1, 04.05.2010, p. 20-30.

Research output: Contribution to journalArticle

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