The use of Hugin® to develop Bayesian networks as an aid to integrated water resource planning

By John Bromley, Nick A. Jackson, O. J. Clymer, Anna Maria Giacomello, Finn Verner Jensen. Environmental Modelling & Software, 2005

294 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Ocean Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/d24bcee5332cad7e8f3f79ca5d90de8c11cc4042

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In Artificial Intelligence

In Ocean Engineering

In Water Science and Technology

Citations in the corpus

Selecting among five common modelling approaches for integrated environmental assessment and management (2013, methodology): “What are Bayesian networks? Bayesian networks (BNs) are most commonly used in modelling for decision-making and management applications in which uncertainty is a key consideration (see for example Ames, 2002; Bromley et al., 2005; Jenson, 1996; Kuikka et al., 1999; Newton, 2010; Pearl, 1990; Varis, ”
A review of Bayesian belief networks in ecosystem service modelling (2013, methodology): “The suitability of BBNs for participatory modelling is illustrated in several applications of BBNs within the MERIT (Management of the Environment and Resources using Integrated Techniques) stakeholder involvement procedure for integrated water management (Zorrilla et al., 2009; Farmani et al., 2009”
Bayesian belief networks: applications in ecology and natural resource management (2006, background): “planning (Bromley et al. 2005), to aid fisheries management of Baltic cod (Gadus morhua callarias L.) (Kuikka et al. 1999), and to model meta-assessments of fish stocks (Hammond and Ellis 2002). Cain et al. (1999) emphasized the utility of BBNs to facilitate stakeholder participation in resource man”
Future research challenges for incorporation of uncertainty in environmental and ecological decision-making (2008, methodology): “Once developed, artificial neural network metamodels can be used to estimate a range of risk-based performance measures (e.g., Broad et al., 2005b).”
Using Bayesian belief networks in adaptive management (2006, background): “We propose that Bayesian belief modelling is such an approach and is worthy of much wider use in AM. Bayesian belief modelling has been used in a wide variety of natural resource management fields, including as an aid to water-resource planning ( Bromley et al. 2005 ), evaluating population viabilit”
Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment (2007, methodology): “…is to further explore the use of fish Bn in multi-criteria decision support, particularly in the analysis of tradeoffs in environmental management (Bromley et al., 2005; Dorner et al., in press; Varis, 1997 In this paper we have described the use of a methodology for combining expert elicitation…”