A multi-index approach to inflow prediction for water resources management

Stewart Franks*, Adam Wyatt

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Significant variability in reservoir inflows is experienced across eastern Australia as a result of a number of known, identified climate modes. In particular, the El Nino Southern Oscillation (ENSO) is known to affect primarily summer (October-March) inflows. In this paper, a software suite is presented that enables: (i) the routine prediction of ENSO events, (ii) the assessment of likely inflow on monthly and seasonal timescales, and (iii) the updating of both climate and inflow prediction as new data are received. The scheme is demonstrated by application to a Sydney Catchment Authority (SCA) reservoir that supplies potable water for metropolitan Sydney. The tool is generalized and can be applied anywhere that significant correlations between ENSO and inflows are found.

Original languageEnglish
Title of host publicationIAHS-AISH Publication - Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management
Pages51-58
Number of pages8
Edition313
Publication statusPublished - 1 Dec 2007
EventInternational Symposium: Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management - 24th General Assembly of the International Union of Geodesy and Geophysics (IUGG) - Perugia, Italy
Duration: 2 Jul 200713 Jul 2007

Conference

ConferenceInternational Symposium: Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management - 24th General Assembly of the International Union of Geodesy and Geophysics (IUGG)
CountryItaly
CityPerugia
Period2/07/0713/07/07

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