Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Bayesian Networks and participatory modelling in water resource management
Environmental Modelling & Software
Editorial: Bayesian networks in water resource modelling and management
Environmental Modelling & Software
Bayesian Networks and participatory modelling in water resource management
Environmental Modelling & Software
Environmental Modelling & Software
Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Analysing complex behaviour of hydrological systems through a system dynamics approach
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Review: Bayesian networks in environmental modelling
Environmental Modelling & Software
Environmental Modelling & Software
Position Paper: A general framework for Dynamic Emulation Modelling in environmental problems
Environmental Modelling & Software
Putting humans in the loop: Social computing for Water Resources Management
Environmental Modelling & Software
Bayesian belief modeling of climate change impacts for informing regional adaptation options
Environmental Modelling & Software
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In this paper an approach for coupling real-time control and socio-economic issues in participatory river basin planning is presented through a case study. It relies on the use of Bayesian Networks (Bns) to describe in a probabilistic way the behaviour of farmers within an irrigation district in response to some planning actions. Bayesian Networks are coupled with classical stochastic hydrological models in a decision-making framework concerning the real-time control of a water reservoir network. The approach is embedded within the framework of the Participatory and Integrated Planning (PIP) procedure.