A Bayesian decision network approach for salinity management in the Little River Catchment, NSW

Amir Sadoddin; Rebecca Letcher; Anthony Jakeman

A Bayesian decision network approach for salinity management in the Little River Catchment, NSW

Amir Sadoddin, Rebecca Letcher, Anthony Jakeman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	MODSIM 2003. Integrative Modelling of Biophysical, Social and Economic Systems for Resource Management Solutions
Editors	David A. Post
Place of Publication	UWA UniPrint
Publisher	Modelling and Simulation Society of Australia and New Zealand Inc.
Pages	2:953-958
Edition	Peer Reviewed
ISBN (Print)	174052098X
Publication status	Published - 2003
Event	International Congress on Modelling and Simulation (MODSIM 2003) - Townsville Australia Duration: 1 Jan 2003 → …

Conference

Conference	International Congress on Modelling and Simulation (MODSIM 2003)
Period	1/01/03 → …
Other	July 14 2003

Cite this

Sadoddin, A., Letcher, R., & Jakeman, A. (2003). A Bayesian decision network approach for salinity management in the Little River Catchment, NSW. In D. A. P. (Ed.), MODSIM 2003. Integrative Modelling of Biophysical, Social and Economic Systems for Resource Management Solutions (Peer Reviewed ed., pp. 2:953-958). Modelling and Simulation Society of Australia and New Zealand Inc..

Sadoddin, Amir ; Letcher, Rebecca ; Jakeman, Anthony. / A Bayesian decision network approach for salinity management in the Little River Catchment, NSW. MODSIM 2003. Integrative Modelling of Biophysical, Social and Economic Systems for Resource Management Solutions. editor / David A. Post. Peer Reviewed. ed. UWA UniPrint : Modelling and Simulation Society of Australia and New Zealand Inc., 2003. pp. 2:953-958

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title = "A Bayesian decision network approach for salinity management in the Little River Catchment, NSW",

author = "Amir Sadoddin and Rebecca Letcher and Anthony Jakeman",

year = "2003",

language = "English",

isbn = "174052098X",

pages = "2:953--958",

editor = "{David A. Post}",

booktitle = "MODSIM 2003. Integrative Modelling of Biophysical, Social and Economic Systems for Resource Management Solutions",

publisher = "Modelling and Simulation Society of Australia and New Zealand Inc.",

edition = "Peer Reviewed",

note = "International Congress on Modelling and Simulation (MODSIM 2003) ; Conference date: 01-01-2003",

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Sadoddin, A, Letcher, R & Jakeman, A 2003, A Bayesian decision network approach for salinity management in the Little River Catchment, NSW. in DAP (ed.), MODSIM 2003. Integrative Modelling of Biophysical, Social and Economic Systems for Resource Management Solutions. Peer Reviewed edn, Modelling and Simulation Society of Australia and New Zealand Inc., UWA UniPrint, pp. 2:953-958, International Congress on Modelling and Simulation (MODSIM 2003), 1/01/03.

A Bayesian decision network approach for salinity management in the Little River Catchment, NSW. / Sadoddin, Amir; Letcher, Rebecca; Jakeman, Anthony.
MODSIM 2003. Integrative Modelling of Biophysical, Social and Economic Systems for Resource Management Solutions. ed. / David A. Post. Peer Reviewed. ed. UWA UniPrint: Modelling and Simulation Society of Australia and New Zealand Inc., 2003. p. 2:953-958.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Letcher, Rebecca

AU - Jakeman, Anthony

PY - 2003

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M3 - Conference contribution

SN - 174052098X

SP - 2:953-958

BT - MODSIM 2003. Integrative Modelling of Biophysical, Social and Economic Systems for Resource Management Solutions

A2 - null, David A. Post

PB - Modelling and Simulation Society of Australia and New Zealand Inc.

CY - UWA UniPrint

T2 - International Congress on Modelling and Simulation (MODSIM 2003)

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Sadoddin A, Letcher R, Jakeman A. A Bayesian decision network approach for salinity management in the Little River Catchment, NSW. In DAP, editor, MODSIM 2003. Integrative Modelling of Biophysical, Social and Economic Systems for Resource Management Solutions. Peer Reviewed ed. UWA UniPrint: Modelling and Simulation Society of Australia and New Zealand Inc. 2003. p. 2:953-958