Short-term water demand forecasting for production optimisation

Pillay, Ravindra Sen (2005) Short-term water demand forecasting for production optimisation. [USQ Project] (Unpublished)

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Abstract

This study comprises the formulation of a short-term (24 hr ahead) water demand predictive model using multiple variable linear regression technique for the purposes of production optimisation and water demand management for Toowoomba City Councils Mt. Kynoch Water Treatment Plant. It includes a consumption trend analysis and investigation of the impact of demand management techniques utilized by TCC in reducing water consumption. The results were comprehensive and indicated that Toowoomba's demand is quite strongly affected by maximum air temperature, rainfall and rain-days, moving average demand, 4-day weighted average demand, as well as imposed restriction levels. An attempt to combine rainfall and rain-days into a single variable called rainfall-weighting produced exceptional results given the short duration of data analysed.


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Item Type: USQ Project
Refereed: No
Item Status: Live Archive
Depositing User: epEditor USQ
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 11 Oct 2007 00:23
Last Modified: 02 Jul 2013 22:32
Uncontrolled Keywords: short-term water demand, rainfall
Fields of Research (FOR2008): 05 Environmental Sciences > 0503 Soil Sciences > 050399 Soil Sciences not elsewhere classified
09 Engineering > 0907 Environmental Engineering > 090799 Environmental Engineering not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/504

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