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Addressing salinity management problem, at catchment scales requires an integrated modelling approach, in which key bio-physical and socio-economic drivers, processes and impacts are all considered. The problems are also characterised by data and knowledge that is sparse, scattered and of varying type and quality. Therefore, the approach must have the ability to use and integrate both qualitative and quantitative data and information extracted from a range of pre-existing sources. This book presents and evaluates the use of a Bayesian Decision Network model as an integrated approach for considering the trade-offs associated with the management of dryland salinity, a major environmental problem in Australia. The ability and effectiveness of the BDN approach in building integrated catchment assessment and management tools are demonstrated through a case study in the Little River catchment in the upper Macquarie River basin, NSW, Australia.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2010
- ISBN 10 3838356551
- ISBN 13 9783838356556
- BindingPaperback
- Number of pages252
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Bayesian Network Models for: Integrated Catchment-scale Management of Salinity
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Addressing salinity management problem, at catchment scales requires an integrated modelling approach, in which key bio-physical and socio-economic drivers, processes and impacts are all considered. The problems are also characterised by data and knowledge that is sparse, scattered and of varying type and quality. Therefore, the approach must have the ability to use and integrate both qualitative and quantitative data and information extracted from a range of pre-existing sources. This book presents and evaluates the use of a Bayesian Decision Network model as an integrated approach for considering the trade-offs associated with the management of dryland salinity, a major environmental problem in Australia. The ability and effectiveness of the BDN approach in building integrated catchment assessment and management tools are demonstrated through a case study in the Little River catchment in the upper Macquarie River basin, NSW, Australia. 252 pp. Englisch. Seller Inventory # 9783838356556
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Bayesian Network Models for Integrated Catchmentscale Management of Salinity
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sadoddin AmirAmir Sadoddin, PhD. graduated from the Australian National University in 2006, is Assistant Professor, Gorgan University of Agricultural Sciences and Natural Resources of Iran, where he teaches courses in integrated c. Seller Inventory # 5416034
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Bayesian Network Models for : Integrated Catchment-scale Management of Salinity
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Addressing salinity management problem, at catchment scales requires an integrated modelling approach, in which key bio-physical and socio-economic drivers, processes and impacts are all considered. The problems are also characterised by data and knowledge that is sparse, scattered and of varying type and quality. Therefore, the approach must have the ability to use and integrate both qualitative and quantitative data and information extracted from a range of pre-existing sources. This book presents and evaluates the use of a Bayesian Decision Network model as an integrated approach for considering the trade-offs associated with the management of dryland salinity, a major environmental problem in Australia. The ability and effectiveness of the BDN approach in building integrated catchment assessment and management tools are demonstrated through a case study in the Little River catchment in the upper Macquarie River basin, NSW, Australia. Seller Inventory # 9783838356556
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Bayesian Network Models for Integrated Catchmentscale Management of Salinity
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