Modelling bounce-back in water consumption post-drought

Giurco, D; Mohr, SH; Fyfe, J; Rickwood, P; Teng, ML; Franklin, J

Modelling bounce-back in water consumption post-drought

Giurco, D

Mohr, SH Fyfe, J Rickwood, P Teng, ML Franklin, J

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Publisher:: Australian Water Association (AWA)
Publication Type:: Journal Article
Citation:: Water, 2013, 40 (5), pp. 79 - 84
Issue Date:: 2013-01

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Field	Value	Language
dc.contributor.author	Giurco, D https://orcid.org/0000-0002-1707-9531	en_US
dc.contributor.author	Mohr, SH	en_US
dc.contributor.author	Fyfe, J	en_US
dc.contributor.author	Rickwood, P	en_US
dc.contributor.author	Teng, ML	en_US
dc.contributor.author	Franklin, J	en_US
dc.date.issued	2013-01	en_US
dc.identifier.citation	Water, 2013, 40 (5), pp. 79 - 84	en_US
dc.identifier.issn	0310-0367	en_US
dc.identifier.uri	http://hdl.handle.net/10453/29586
dc.description.abstract	Focused on a case study of Geelong, Victoria, this paper presents the results of a unique comparison of (i) a custombuilt regression model for forecasting total customer water demand and (ii) end-use based water projections using the integrated Supply Demand Planning model (iSDP) model. The regression model used historical data for calibration based on level of restrictions, evapotranspiration, temperature, and rainfall. By selecting a future climate scenario (and any anticipated restriction periods) for the next 10-year period, demand can be projected by the model.	en_US
dc.publisher	Australian Water Association (AWA)	en_US
dc.relation.ispartof	Water	en_US
dc.title	Modelling bounce-back in water consumption post-drought	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	40	en_US
utslib.for	1205 Urban and Regional Planning	en_US
utslib.for	0914 Resources Engineering and Extractive Metallurgy	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
pubs.organisational-group	/University of Technology Sydney/Strength - ISF - Institute for Sustainable Futures
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.issue	5	en_US
pubs.volume	40	en_US

Abstract:

Focused on a case study of Geelong, Victoria, this paper presents the results of a unique comparison of (i) a custombuilt regression model for forecasting total customer water demand and (ii) end-use based water projections using the integrated Supply Demand Planning model (iSDP) model. The regression model used historical data for calibration based on level of restrictions, evapotranspiration, temperature, and rainfall. By selecting a future climate scenario (and any anticipated restriction periods) for the next 10-year period, demand can be projected by the model.

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http://hdl.handle.net/10453/29586