Reassessing the MADE direct‐push hydraulic conductivity data using a revised calibration procedure
In earlier work, we presented a geostatistical assessment of high‐resolution hydraulic conductivity (K) profiles obtained at the MADE site using direct‐push (DP) methods. The profiles are derived from direct‐push injection logger (DPIL) measurements that provide a relative indicator of vertical vari...
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Veröffentlicht in: | Water resources research 2016-11, Vol.52 (11), p.8970-8985 |
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Sprache: | eng |
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Zusammenfassung: | In earlier work, we presented a geostatistical assessment of high‐resolution hydraulic conductivity (K) profiles obtained at the MADE site using direct‐push (DP) methods. The profiles are derived from direct‐push injection logger (DPIL) measurements that provide a relative indicator of vertical variations in K with a sample spacing of 1.5 cm. The DPIL profiles are converted to K profiles by calibrating to the results of direct‐push permeameter (DPP) tests performed at selected depths in some of the profiles. Our original calibration used a linear transform that failed to adequately account for an upper limit on DPIL responses in high‐K zones and noise in the DPIL data. Here we present a revised calibration procedure that accounts for the upper limit and noise, leading to DPIL K values that display a somewhat different univariate distribution and a lower lnK variance (5.9 ± 1.5) than the original calibration values (6.9 ± 1.8), although each variance estimate falls within the other's 95% confidence interval. Despite the change in the univariate distribution, the autocorrelation structure and large‐scale patterns exhibited by the revised DPIL K values still agree well with those exhibited by the flowmeter data from the site. We provide the DPIL and DPP data, along with our calibrated DPIL K values, in the Supporting Information.
Key Points
Revised calibration of MADE direct‐push data better reflects tool behavior
Revisions improve representation of high hydraulic conductivity zones
Autocorrelation structure and large‐scale patterns change little |
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ISSN: | 0043-1397 1944-7973 |
DOI: | 10.1002/2016WR019008 |