Artificial neural networks and conditional stochastic simulations for characterization of aquifer heterogeneity
Although it is one of the most difficult tasks in hydrology, delineation of aquifer heterogeneity is essential for accurate simulation of groundwater flow and transport. There are various approaches used to delineate aquifer heterogeneity from a limited data set, and each has its own difficulties an...
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| Language: | en_US |
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The University of Arizona.
1999
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| Online Access: | http://hdl.handle.net/10150/284451 |