Bayesian Inference For Oil Spill Related
Net Environmental Benefit Analysis
Author(s)
R. Aps, K. Herkül, J. Kotta, I. Kotta, M. Kopti, R. Leiger,
Ü. Mander & Ü. Suursaar
Abstract
This paper investigates the applicability of Bayesian inference to oil spill related
situation assessment in order to facilitate the Net Environmental Benefit
Analysis (NEBA) based decisions in evaluating the threat or probable overall
environmental impact of the spill. Bayesian networks are believed to be useful in
integrating the NEBA related information imported from 1) oil spill scene
surveillance, 2) simulation results on an oil spill incident with human response,
and 3) ecological sensitivity maps. This paper exemplifies the use of Bayesian
Belief Networks in answering the questions: can the oil spill be combated at sea,
and if it cannot then is the oil threatening a sensitive environment?
Keywords: net environmental benefit analysis, Bayesian inference, oil spill
response simulation, Gulf of Finland (Baltic Sea).
Keywords
net environmental benefit analysis, Bayesian inference, oil spillresponse simulation, Gulf of Finland (Baltic Sea)
Related Book
Other papers in this volume
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