Pillay, Ravindra Sen (2005) Short-term water demand forecasting for production optimisation. [USQ Project] (Unpublished)
Metadata
| HTML Citation | EndNote | Dublin Core | Reference Manager |
Full text available as:
| PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 2651Kb |
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.
| Item Type: | USQ Project |
|---|---|
| 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 |
| Subjects: | 300000 Agricultural, Veterinary and Environmental Sciences > 300100 Soil and Water Sciences > 300199 Soil and Water Sciences not elsewhere classified 290000 Engineering and Technology > 291100 Environmental Engineering > 291199 Environmental Engineering not elsewhere classified |
| Socio-Economic Objective (SEO2008): | UNSPECIFIED |
| ID Code: | 504 |
| Deposited By: | |
| Deposited On: | 11 Oct 2007 10:23 |
| Last Modified: | 02 Mar 2009 11:55 |
Archive Staff Only: edit this record
