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Uncertainty Associated with Semivariograms Used for Site Simulation
Author(s) -
Wingle William L.,
Poeter Eileen P.
Publication year - 1993
Publication title -
groundwater
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 94
eISSN - 1745-6584
pISSN - 0017-467X
DOI - 10.1111/j.1745-6584.1993.tb00843.x
Subject(s) - latin hypercube sampling , variogram , sampling (signal processing) , stochastic simulation , process (computing) , statistics , computer science , kriging , monte carlo method , data mining , environmental science , mathematics , filter (signal processing) , computer vision , operating system
Uncertainty is associated with interpretation of the subsurface, and stochastic simulation techniques are incapable of accounting for all the uncertainty if only a single deterministic semivariogram model is utilized. Jackknifing the data bounds the limits of model semivariograms but typically indicates that a large number of simulations must be conducted to consider the full distribution of possible semivariograms. Latin‐hypercube sampling, particularly when combined with expert opinion, reduces the number of simulations that must be created and evaluated. For small data sets, where there is significant uncertainty, this process provides for a more complete assessment of the potential variability of the subsurface and of flow paths for contaminants, given the available data. Such assessment can be used to guide the data collection program and the decision‐making process.