Forecasting Water Use in Texas Cities

dc.acquisition-srcen_US
dc.call-noTD 224 .T4 T38 no. 142 GBAYen_US
dc.contract-noen_US
dc.contributor.authorShaw, D. T. and D. R. Maidmenten_US
dc.contributor.otheren_US
dc.date.accessioned2010-02-15T17:29:58Z
dc.date.available2010-02-15T17:29:58Z
dc.date.issued1987en_US
dc.degreeen_US
dc.description117 pgs.en_US
dc.description-otheren_US
dc.description.abstractIn this research project, a methodology for automating the forecasting of municipal daily water use is developed and implemented in a microcomputer program called WATCAL. An automated forecast system is devised by modifying the previously-developed WATFORE model so that potential seasonal water use is calculated from a Fourier series fitted to seven-day weighted moving average values of daily maximum air temperature. A study is made comparing Kalman filtering and Box-Jenkins time series methods for automated model calibration. Although the Kalman filter method explains more of the time variation of the model parameters, the forecast accuracy of both methods is about the same. Box-Jenkins time series estimation algorithms specially designed for daily water use model parameter calibration, along with graphics and data editing routines, are implemented in WATCAL.A study is also made of the impact of conservation programs implemented in Austin and Corpus Christ, Texas during the dry summers of 1984 and 1985. Mandatory conservation programs reduced water use in Austin about 10% and in Corpus Christi about 30% of peak summer usage. The effects of an undesirable five-day cycle in Austin's water use (caused by a mandatory watering scheme where addresses ending in a specified pair of digits were allowed to water on a given day) were analyzed. An alternative address digit pairing devised as part of this research eliminated the cycle during the summer of 1986.A study of monthly and daily water use in five cities in Southern California shows that once water use data are made dimensionless, they follow a generic, weather-dependent pattern that is independent of city size and location within the region.en_US
dc.description.urihttp://gbic.tamug.edu/request.htmen_US
dc.geo-codeTexasen_US
dc.geo-codeUnited Statesen_US
dc.history10/6/05 easen_US
dc.identifier.urihttp://hdl.handle.net/1969.3/25269
dc.latitudeen_US
dc.locationGBIC Circulating Collectionen_US
dc.longitudeen_US
dc.notesen_US
dc.placeCollege Station, TXen_US
dc.publisherTexas Water Resources Instituteen_US
dc.relation.ispartofseries8124.00en_US
dc.relation.urien_US
dc.scaleen_US
dc.seriesTechnical Report -Texas Water Resources Institute -142en_US
dc.subjectwater consumptionen_US
dc.subjectwateren_US
dc.subjectwater qualityen_US
dc.subjectmunicipal water supplyen_US
dc.subjectwater useen_US
dc.subjectwater demanden_US
dc.titleForecasting Water Use in Texas Citiesen_US
dc.typeBooken_US
dc.universityen_US
dc.vol-issueen_US
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