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The AAPG/Datapages Combined Publications Database
Environmental Geosciences (DEG)
Abstract
DOI: 10.1046/j.1526-0984.2001.82009.x
Bayesian Updating of Toxic Leakage Scenarios
1
ABSTRACT
A simple illustration of different potential 
causes
for leakage of toxic
waste containers in a depository illustrates how knowledge of a leakage event
can
be used to update the probability that one basic cause is more likely than
another. The method invoked for this analysis is that of Bayesian probability.
The point of doing the work is to show how one can come to grips with the
most likely reasons for such a leakage. In turn, such improved knowledge, gleaned
from the actual leakage events that occur, allows one to better design options
for remediating the depository site based on using the potential causes of
leakage and their improved likelihood of being correct. The example shows
how
one can decide between different leakage causes
based on measurement of particular
leakage events.
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