Increased Use of Bayesian Network Models Has Improved Environmental Risk Assessments.

Integrated Environmental Assessment and Management
S Jannicke MoeMiriam Glendell

Abstract

Environmental and ecological risk assessments are defined as the process for evaluating the likelihood that the environment may be impacted as a result of exposure to stressors. Although this definition implies the calculation of probabilities, risk assessments traditionally rely on nonprobabilistic methods such as calculation of a risk quotient. Bayesian network (BN) models are a tool for probabilistic and causal modeling, increasingly used in many fields of environmental science. Bayesian networks are defined as directed acyclic graphs where the causal relationships and the associated uncertainty are quantified in conditional probability tables. Bayesian networks inherently incorporate uncertainty and can integrate a variety of information types, including expert elicitation. During the last 2 decades, there has been a steady increase in reports on BN applications in environmental risk assessment and management. At recent annual meetings of the Society of Environmental Toxicology and Chemistry (SETAC) North America and SETAC Europe, a number of applications of BN models were presented along with new theoretical developments. Likewise, recent meetings of the European Geosciences Union (EGU) have dedicated sessions to Bayesian ...Continue Reading

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Sep 24, 2020·Integrated Environmental Assessment and Management·S Jannicke MoeKnut Erik Tollefsen
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Citations

May 16, 2021·Integrated Environmental Assessment and Management·John F CarrigerMace G Barron
Oct 8, 2021·Integrated Environmental Assessment and Management·Sophie MentzelS Jannicke Moe

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