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dc.contributor.advisorChairperson, Graduate Committee: Anne Camperen
dc.contributor.authorTrasky, Trevor Ryanen
dc.coverage.spatialAlaskaen
dc.date.accessioned2013-06-25T18:39:23Z
dc.date.available2013-06-25T18:39:23Z
dc.date.issued2008en
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/2437en
dc.description.abstractThe possible EPA promulgation of regulations requiring flushing programs for water distribution systems to regulate water age is encouraging many utilities to develop a better understanding of their systems. This usually involves the development of a hydraulic model. For the hydraulic model to be of use it must be calibrated using collected field data. Few established guidelines exist for utilities to perform such data collection and calibration. There are many different types of data that can be collected using many different methods. There are also various model calibration methods that can be used. This study sought to develop an optimized sampling plan and calibration method for a small utility that defines the best practice for data type, location, quantity, and collection conditions. A large quantity of many data types were collected at various locations in the system. Different methods were used to calibrate the model with various data sets and the model accuracy was evaluated using a second independent data set. The effect of model input parameter accuracy and pipe grouping during calibration on overall accuracy was also investigated. Data type, location, quantity, and collection conditions had an impact on calibration accuracy. High headloss data from fire flow tests provided better calibrations than low loss data from static pressures. Carefully selected test locations resulted in more efficient calibration than evenly distributed test locations. There was found to be a point of diminishing returns when investigating the amount of data used in calibration versus calibration accuracy. Uncalibrated model input parameters such as elevations and pump characteristics also had a significant impact on model calibration accuracy.en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, College of Engineeringen
dc.subject.lcshHydraulic modelsen
dc.subject.lcshGroundwater flowen
dc.titleHydraulic model calibration for the Girdwood, Alaska water distribution systemen
dc.typeThesisen
dc.rights.holderCopyright 2008 by Trevor Ryan Traskyen
thesis.catalog.ckey1333587en
thesis.degree.committeemembersMembers, Graduate Committee: Warren L. Jones; Joel Cahoon; Craig Woolarden
thesis.degree.departmentCivil Engineering.en
thesis.degree.genreThesisen
thesis.degree.nameMSen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage71en


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