Bayesian Network Modelling for assessing the biophysical and socio-economic impacts of dryland salinity management
Improving dryland salinity management at catchment scales requires an integrated modelling approach, in which the dominant bio-physical and socio-economic drivers, processes and impacts are considered. This paper presents and evaluates the use of a Bayesian Decision Network (BDN) 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...[Show more]
|Collections||ANU Research Publications|
|Source:||18th World IMACS Congress and MODSIM09 Proceedings International Congress on Modelling and Simulation. Cairns, Australia from 13–17 July 2009|
|01_Sadoddin_Bayesian_Network_Modelling_for_2009.pdf||297.33 kB||Adobe PDF||Request a copy|
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