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
Hauptverfasser: Bohling, Geoffrey C., Liu, Gaisheng, Dietrich, Peter, Butler, James J.
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creator Bohling, Geoffrey C.
Liu, Gaisheng
Dietrich, Peter
Butler, James J.
description 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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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. 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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. 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source Wiley-Blackwell AGU Digital Library; EZB-FREE-00999 freely available EZB journals; Wiley Online Library All Journals
subjects aquifer characterization
Autocorrelation
Calibration
Confidence intervals
Data
Data processing
direct‐push
Distribution
Geostatistics
High resolution
Hydraulic conductivity
Hydraulics
Injection
Methods
Noise
Noise prediction
Profiles
Resolution
Tests
Variance
title Reassessing the MADE direct‐push hydraulic conductivity data using a revised calibration procedure
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