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

Stewart Franks; Adam Wyatt

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	IAHS-AISH Publication - Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management
Pages	51-58
Number of pages	8
Edition	313
Publication status	Published - 1 Dec 2007
Event	International 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 2007 → 13 Jul 2007

Conference

Conference	International Symposium: Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management - 24th General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Country/Territory	Italy
City	Perugia
Period	2/07/07 → 13/07/07

Keywords

Eastern Australia
ENSO prediction
Monthly inflow
Multi-index approach
Reservoir
Seasonal inflow

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@inproceedings{e82c976f92554fca89bb5f2ae80b770d,

title = "A multi-index approach to inflow prediction for water resources management",

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.",

keywords = "Eastern Australia, ENSO prediction, Monthly inflow, Multi-index approach, Reservoir, Seasonal inflow",

author = "Stewart Franks and Adam Wyatt",

year = "2007",

month = dec,

day = "1",

language = "English",

isbn = "9781901502091",

pages = "51--58",

booktitle = "IAHS-AISH Publication - Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management",

edition = "313",

note = "International Symposium: Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management - 24th General Assembly of the International Union of Geodesy and Geophysics (IUGG) ; Conference date: 02-07-2007 Through 13-07-2007",

}

Franks, S & Wyatt, A 2007, A multi-index approach to inflow prediction for water resources management. in IAHS-AISH Publication - Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management. 313 edn, pp. 51-58, International 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, 2/07/07.

TY - GEN

T1 - A multi-index approach to inflow prediction for water resources management

AU - Franks, Stewart

AU - Wyatt, Adam

PY - 2007/12/1

Y1 - 2007/12/1

N2 - 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.

AB - 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.

KW - Eastern Australia

KW - ENSO prediction

KW - Monthly inflow

KW - Multi-index approach

KW - Reservoir

KW - Seasonal inflow

UR - https://www.scopus.com/pages/publications/55749086844

M3 - Conference contribution

AN - SCOPUS:55749086844

SN - 9781901502091

SP - 51

EP - 58

BT - IAHS-AISH Publication - Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management

T2 - International Symposium: Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management - 24th General Assembly of the International Union of Geodesy and Geophysics (IUGG)

Y2 - 2 July 2007 through 13 July 2007

ER -

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

Abstract

Conference

Keywords

UN SDGs

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