WDS water quality parameter estimation and uncertainty

M. F.K. Pasha, K. Lansey

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

3 Scopus citations

Abstract

During model development and calibration, errors in field measurements propagate to uncertainties in parameter uncertainty. Water distribution water quality models are typically calibrated using tracer test data. Here, we evaluate the uncertainty resulting from the test assuming demands are known exactly and only the wall coefficients are to be estimated. A meta-heunstic search engine, Shuffled Frog Leaping Algorithm (SFLA) is linked with hydraulic and water quality simulation software EPANET to estimate the pipe wall decay coefficients. A first-order approximation is applied then to estimate the parameter uncertainty. This methodology is applied on a mid sized example network. Results show that with tracer injection parameter can be accurately estimated. It is also found that parameter estimation can be more accurate if the magnitude of the wall decay coefficients is higher.

Original languageEnglish (US)
Title of host publicationProceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009
Subtitle of host publicationGreat Rivers
Pages635-644
Number of pages10
DOIs
StatePublished - 2009
EventWorld Environmental and Water Resources Congress 2009: Great Rivers - Kansas City, MO, United States
Duration: May 17 2009May 21 2009

Publication series

NameProceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers
Volume342

Other

OtherWorld Environmental and Water Resources Congress 2009: Great Rivers
Country/TerritoryUnited States
CityKansas City, MO
Period5/17/095/21/09

ASJC Scopus subject areas

  • General Environmental Science

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