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Geostatistical analysis of centimeter‐scale hydraulic conductivity variations at the MADE site
Author(s) -
Bohling Geoffrey C.,
Liu Gaisheng,
Knobbe Steven J.,
Reboulet Edward C.,
Hyndman David W.,
Dietrich Peter,
Butler James J.
Publication year - 2012
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2011wr010791
Subject(s) - hydraulic conductivity , aquifer , aquifer properties , soil science , spatial variability , flow measurement , geology , hydrology (agriculture) , geotechnical engineering , groundwater , mechanics , statistics , mathematics , physics , soil water , groundwater recharge
Spatial variations in hydraulic conductivity ( K ) provide critical controls on solute transport in the subsurface. Recently, new direct‐push tools were developed for high‐resolution characterization of K variations in unconsolidated settings. These tools were applied to obtain 58 profiles (vertical resolution of 1.5 cm) from the heavily studied macrodispersion experiment (MADE) site. We compare the data from these 58 profiles with those from the 67 flowmeter profiles that have served as the primary basis for characterizing the heterogeneous aquifer at the site. Overall, the patterns of variation displayed by the two data sets are quite similar, in terms of both large‐scale structure and autocorrelation characteristics. The direct‐push K values are, on average, roughly a factor of 5 lower than the flowmeter values. This discrepancy appears to be attributable, at least in part, to opposite biases between the two methods, with the current versions of the direct‐push tools underestimating K in the highly permeable upper portions of the aquifer and the flowmeter overestimating K in the less permeable lower portions. The vertically averaged K values from a series of direct‐push profiles in the vicinity of two pumping tests at the site are consistent with the K estimates from those tests, providing evidence that the direct‐push estimates are of a reasonable magnitude. The results of this field demonstration show that direct‐push profiling has the potential to characterize highly heterogeneous aquifers with a speed and resolution that has not previously been possible.