Citation:

Carriger, John F. AND Randy A. Parker. Conceptual Bayesian networks for contaminated site ecological risk assessment and remediation support. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, 278 PART 2:111478, (2021). https://doi.org/10.1016/j.jenvman.2020.111478

Impact/Purpose:

This article explores the potential insights that can be gained by applying the qualitative aspects of Bayesian networks to conceptual site models.

Description:

The causal pathways of stressors that lead to impacts on individuals, populations, and communities of organisms are useful to know for designing alternatives that manage or remediate ecological risks. The ecological risk assessment (ERA) framework (USEPA, 1998b) can help to identify and prioritize management of risks. One key product of the problem formulation step in an ERA, that captures and represents causal knowledge, is the conceptual site model (CSM). The CSM is a graphical depiction of the risk environment that traces the fate and transport pathways of contaminants from sources of contamination (e.g., a leaking storage tank) to receptors (i.e., the ecological endpoints of concern in the risk assessment). The CSM guides the development of methods for assessing ecological risk scenarios and for remediation design alternatives. The qualitative and quantitative aspects of Bayesian networks may support CSM development and risk characterization.

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