Author(s): Wen Zhang
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Keywords: No Keywords
Abstract: A wide range of quantitative and qualitative modelling research on water resource management has recently been conducted. A semi-quantitative modelling approach that has recently gained importance in water resource management is Bayesian networks (BN). Due to their high transparency, the possibility to combine empirical data with expert knowledge and their explicit treatment of uncertainties, BN can make a considerable contribution to the water resource management. This paper systematically reviews applications of BN with respect to spatial factors, water domains, and the consideration of climate change impacts. The methods used for constructing and validating BN models, and their applications in different forms of decision-making support are examined. Integrated BN with other modelling tools for addressing challenges of dynamically complex systems were also reviewed. The existing BN models are suited to describe, analyse, predict and value water resource system. Nevertheless, some weaknesses have to be considered, including poor flexibility of frequently applied software packages, difficulties in eliciting expert knowledge and the inability to model feedback loops.
Year: 2018