Evaluation of water distribution system monitoring using a combined simulation-optimization approach

dc.contributor.authorGraybeal, Dale Kevinen
dc.contributor.committeechairGallagher, Daniel L.en
dc.contributor.committeememberLoganathan, G. V.en
dc.contributor.committeememberNovak, John T.en
dc.contributor.departmentEnvironmental Sciences and Engineeringen
dc.date.accessioned2014-03-14T21:28:13Zen
dc.date.adate2009-01-31en
dc.date.available2014-03-14T21:28:13Zen
dc.date.issued1995-02-15en
dc.date.rdate2009-01-31en
dc.date.sdate2009-01-31en
dc.description.abstractA simulation-optimization methodology was used to assess monitoring strategies for a drinking water distribution network. Multiple simulation trials of contamination events were used to create input data for an integer optimization problem. A network model, based on the Blacksburg, VA water distribution system, was used as the basis for a case study of contaminant transport under conditions of uncertainty. The model was not calibrated due to the lack of reliable field data. Optimization of monitoring plans was performed within the context event based simulation trials. This precluded the design of monitoring plans that were directly compatible with requirements of water quality regulations. However, the results of the optimization did provide information that may be of use to the broader problem of compliance monitoring. Optimal plans were assessed in comparison with several alternative plans using a separate set of simulation trials. Optimization of monitoring plans derived from simulated source node contamination events was generally effective at choosing points that provided better detection of source node contamination than alternative plans based on random sampling or judgement sampling. Optimal monitoring plans derived from simulated random node contamination events were ineffective at detecting random node contamination. The results of optimization and the separate analysis of monitoring plan performance indicated that the number of simulation trials may have been inadequate to completely describe the stochastic behavior of the system. Additionally, comparison of these results with those obtained from a previous simulation study indicate that the results of any simulation of distribution system contamination may be very sensitive to the level of contaminant loading and the size and layout of the system.en
dc.description.degreeMaster of Scienceen
dc.format.extentxiv, 225 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-01312009-063527en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-01312009-063527/en
dc.identifier.urihttp://hdl.handle.net/10919/40860en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1995.G739.pdfen
dc.relation.isformatofOCLC# 34067204en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectdrinking water distribution networken
dc.subject.lccLD5655.V855 1995.G739en
dc.titleEvaluation of water distribution system monitoring using a combined simulation-optimization approachen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineEnvironmental Sciences and Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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