Sequential estimation of demand and roughness in water distribution system

Doosun Kang, Kevin Lansey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pipe roughness and water consumption at a demand node are the most uncertain input variables in a simulation model because they are not typically directly measurable. Instead, information provided from field measurements are used to estimate them indirect way. Parameter estimation is the process of adjusting model parameters so that the simulation model represents the real system adequately by fitting the model output to the field data. To provide more accurate estimates and account for all associated uncertainties, the two variables, i.e., demand and roughness, must be estimated simultaneously. This study proposes a two-step sequential method for dual estimation of demand and roughness coefficient based on a weighted least squares (WLS) scheme using field measurements of pipe flow rates and nodal pressure heads under multiple demand loading conditions. The algorithm is applied to a simple hypothetical system using synthetically generated field data. The proposed two-step sequential model provides accurate estimates with little effort in terms of simulation time.

Original languageEnglish (US)
Title of host publicationWater Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010
Pages1279-1286
Number of pages8
DOIs
StatePublished - Jan 30 2012
Event12th Annual International Conference on Water Distribution Systems Analysis 2010, WDSA 2010 - Tucson, AZ, United States
Duration: Sep 12 2010Sep 15 2010

Publication series

NameWater Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010

Other

Other12th Annual International Conference on Water Distribution Systems Analysis 2010, WDSA 2010
CountryUnited States
CityTucson, AZ
Period9/12/109/15/10

Keywords

  • demand estimation
  • roughness coefficient
  • sequential method
  • weighted least squares

ASJC Scopus subject areas

  • Water Science and Technology

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  • Cite this

    Kang, D., & Lansey, K. (2012). Sequential estimation of demand and roughness in water distribution system. In Water Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010 (pp. 1279-1286). (Water Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010). https://doi.org/10.1061/41203(425)115