Groundwater Flow and Transport Modeling With Correlated Possibilistic Data

Abstract

Stochastic groundwater modeling involves the propagation of probabilistic uncertainty from model input parameters to model estimates, usually via a Monte Carlo method. With the increasing reliance upon expert knowledge to define model inputs, and both fuzzy set and possibility theories to characterize this expert knowledge, alternative means of executing… (More)

Topics

Cite this paper

@inproceedings{Ozbek2009GroundwaterFA, title={Groundwater Flow and Transport Modeling With Correlated Possibilistic Data}, author={M. Erdal Ozbek and James L. Ross}, year={2009} }