A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis
By Mark E. Borsuk, Craig A. Stow, Kenneth H. Reckhow. 2004
536 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Environmental Chemistry, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/af82655009568057dc9d0e435f2dd3aee30d9ee8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- M. Strudley
- Rob D'hondt
- Guy Engelen
- James C. Ascough II
- Anthony J. Jakeman
- Kevin B. Korb
- Ann E. Nicholson
- Carmel A. Pollino
In Environmental Chemistry
In Water Science and Technology
- Alexey A. Voinov
- Holger R. Maier
- Anthony J. Jakeman
- Mark E. Borsuk
- Hans Jørgen Henriksen
- B. Blocken
- Matthew P. Thompson
- David E. Calkin
Citations in the corpus
- Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment (2007, background): “In many Bns, variables have been parameterised using either knowledge or data (Borsuk et al., 2004; Bromley et al., 2005; Rieman et al., 2001; Ticehurst et al., 2005), but rarely have both these information sources be combined in order to parameterise one variable .”
- Working conditions, psychological/physical symptoms and occupational accidents. Bayesian network models (2012, methodology): “It has been used in several knowledge areas, such as medicine (Antal et al., 2004), ecology and natural resources management (Borsuk et al., 2004; McCann et al., 2006), geology (Rivas et al., 2007), lifecycle engineering (Zhu and Deshmukh, 2003), software engineering (Fenton et al., 2007), and…”
- A review of Bayesian belief networks in ecosystem service modelling (2013, background): “Moreover, complex models will prolong calculation time, will often hamper model adoption in practice, and are more data-hungry (Borsuk et al., 2004).”
- A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation (2008, background): “Reported applications comprise a large range of risk analysis studies, such as: the classification of components and subsystems of a nuclear plant based on safety performance assessment [16], the estimate of the unknown prevalence of a chronic disease affecting a specified population [17], the asses”
- Assessing the decline of brown trout (Salmo trutta) in Swiss rivers using a Bayesian probability network (2006, unknown): “tions (e.g. Haas et al., 1994; Varis, 1995; Sahely and Bagley, 2001; Borsuk et al., 2004 ).”
- An overview of methods to evaluate uncertainty of deterministic models in decision support (2015, unknown): “In recent decades, decision support and analysis tools have increasingly been applied to management of natural resources (e.g. Varis, 1997; Marcot et al., 2001; Borsuk et al., 2004; Dorner et al., 2007; McIntosh et al., 2011).”
- Selecting among five common modelling approaches for integrated environmental assessment and management (2013, background): “This is because, unlike other modelling approaches, BNs use probabilistic rather than deterministic relationships to describe the connections among system variables (Borsuk et al., 2004).”
- Future research challenges for incorporation of uncertainty in environmental and ecological decision-making (2008, background): “…et al., 2000); (3) environmental policy decision-making (Ellison, 1996; Wolfson et al., 1996); (4) integrated water resource planning (Bromley et al., 2005); (5) integrated ecological modeling (Borsuk et al., 2004; Lamon and Stow, 2004); and (6) informing adaptive resource management (Prato, 2000).”