Bayesian Networks in Environmental Risk Assessment: A Review.

ABSTRACT: Human activities both depend upon and have consequences on the environment. Environmental risk assessment (ERA) is a process of estimating the probability and consequences of the adverse effects of human activities and other stressors on the environment. Bayesian networks (BNs) can synthesize different types of knowledge and explicitly account for the probabilities of different scenarios, therefore offering a useful tool for ERA. Their use in formal ERA practice has not been evaluated, however, despite their increasing popularity in environmental modeling. This paper reviews the use of BNs in ERA based on peer-reviewed publications. Following a systematic mapping protocol, we identified studies in which BNs have been used in an environmental risk context and evaluated the scope, technical

SUBMITTER: Kaikkonen L 

PROVIDER: S-EPMC7821106 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature