Luke
 

Bayesian Networks in Environmental Risk Assessment: A Review

Kaikkonen_et_al_2020.pdf
Kaikkonen_et_al_2020.pdf - Publisher's version - 1.17 MB

URI

Tiivistelmä

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 aspects, and use of the models and their results. The review shows that BNs have been applied in ERA, particularly in recent years, and that there is room to develop both the model implementation and participatory modeling practices. Based on this review and the authors’ experience, we outline general guidelines and development ideas for using BNs in ERA.

ISBN

OKM-julkaisutyyppi

A2 Katsausartikkeli tieteellisessä aikakauslehdessä

Julkaisusarja

Integrated environmental assessment and management

Volyymi

Numero

Sivut

Sivut

ISSN

1551-3777
1551-3793