Quantification of network model confidence using tracer test data

Dominic L. Boccelli, James G. Uber

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

Abstract

Tracer tests can generate a large amount of data associated with the residence time and travel path of water within a distribution system. Typical approaches for using tracer test data for validating or calibrating a network model rely on quali- tative approaches, often using simple visualization to estimate goodness-of-fit. This study presents three individual metrics to quantify different aspects of network model confidence: residence time, path mixing, and signal attenuation. Data from a recent field-scale tracer test is used to illustrate the three metrics, which are then applied to interpret a sub-set of monitoring locations from the tracer test data set. In general, the three metrics reasonably describe the ability of the existing network model to represent the observed tracer data. Additional discussion focuses on developing an overall single metric that could be used in estimating model confidence.

Original languageEnglish (US)
Title of host publicationAmerican Water Works Association - Water Quality Technology Conference and Exposition 2006
Subtitle of host publicationTaking Water Quality to New Heights
Pages3139-3152
Number of pages14
StatePublished - 2006
Externally publishedYes
EventWater Quality Technology Conference and Exposition 2006: Taking Water Quality to New Heights - Denver, CO, United States
Duration: Nov 5 2006Nov 9 2006

Publication series

NameAmerican Water Works Association - Water Quality Technology Conference and Exposition 2006: Taking Water Quality to New Heights

Other

OtherWater Quality Technology Conference and Exposition 2006: Taking Water Quality to New Heights
Country/TerritoryUnited States
CityDenver, CO
Period11/5/0611/9/06

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Water Science and Technology
  • Geography, Planning and Development

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