A Bayesian belief network approach for assessing uncertainty in conceptual site models at contaminated sites

A key component in risk assessment of contaminated sites is in the formulation of a conceptual site model (CSM). A CSM is a simplified representation of reality and forms the basis for the mathematical modeling of contaminant fate and transport at the site. The CSM should therefore identify the most...

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Bibliographic Details
Published in:	Journal of contaminant hydrology Vol. 188; pp. 12 - 28
Main Authors:	Thomsen, Nanna I., Binning, Philip J., McKnight, Ursula S., Tuxen, Nina, Bjerg, Poul L., Troldborg, Mads
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01-05-2016
Subjects:	Bayes Theorem Bayesian belief networks Conceptual models Conceptual uncertainty Contaminated sites Environmental Pollution - analysis Groundwater - analysis Hazardous Waste Sites Humans Models, Statistical Models, Theoretical Risk Assessment Screening level Soil - chemistry Uncertainty Contaminated sites Conceptual uncertainty CPT DCE FN LIF Screening level PID VC Conceptual models BBN UD DNAPL PCE MIP BMA TCE UN CSM FD FLUTE Bayesian belief networks
Online Access:	Get full text
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