Uncertainty is associated with interpretation of the subsurface, and s
tochastic simulation techniques are incapable of accounting for all th
e uncertainty if only a single deterministic semivariogram model is ut
ilized. Jackknifing the data bounds the limits of model semivariograms
but typically indicates that a large number of simulations must be co
nducted to consider the full distribution of possible semivariograms.
Latin-hypercube sampling, particularly when combined with expert opini
on, reduces the number of simulations that must be created and evaluat
ed. For small data sets, where there is significant uncertainty, this
process provides for a more complete assessment of the potential varia
bility of the subsurface and of flow paths for contaminants, given the
available data. Such assessment can be used to guide the data collect
ion program and the decision-making process.