Applications of Bayesian belief networks in water resource management: A systematic review

@article{Phan2016ApplicationsOB,
  title={Applications of Bayesian belief networks in water resource management: A systematic review},
  author={Thuc D. Phan and James C. R. Smart and Samantha J. Capon and Wade L. Hadwen and Oz Sahin},
  journal={Environmental Modelling and Software},
  year={2016},
  volume={85},
  pages={98-111}
}
Bayesian belief networks (BBNs) are probabilistic graphical models that can capture and integrate both quantitative and qualitative data, thus accommodating data-limited conditions. This paper systematically reviews applications of BBNs with respect to spatial factors, water domains, and the consideration of climate change impacts. The methods used for constructing and validating BBN models, and their applications in different forms of decision-making support are examined. Most reviewed… CONTINUE READING
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