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...
Gespeichert in:
Veröffentlicht in: | Water resources research 2016-11, Vol.52 (11), p.8970-8985 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 8985 |
---|---|
container_issue | 11 |
container_start_page | 8970 |
container_title | Water resources research |
container_volume | 52 |
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 |
doi_str_mv | 10.1002/2016WR019008 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1859472680</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1859472680</sourcerecordid><originalsourceid>FETCH-LOGICAL-a4010-b50e30ec07300b10722e374090c060affd12df15f894a42a0d483e5d9f683c123</originalsourceid><addsrcrecordid>eNp9kL1OwzAUhS0EEqWw8QCWWBgIXP8kTsaqlB-pCKkCdYxc-4a6SpNiJ0XdeASekSchpQyIgeku3z3n6CPklMElA-BXHFgynQDLANI90mOZlJHKlNgnPQApIiYydUiOQlgAMBknqkfsBHUIGIKrXmgzR_owuB5R6zya5vP9Y9WGOZ1vrNdt6Qw1dWVb07i1azbU6kbT9vtRU49rF9BSo0s387pxdUVXvjZoW4_H5KDQZcCTn9snzzejp-FdNH68vR8OxpGWwCCaxYAC0IASADMGinMUSkIGBhLQRWEZtwWLizSTWnINVqYCY5sVSSoM46JPzne5XfNri6HJly4YLEtdYd2GnKVxJhVPUujQsz_oom591a3LO32xUlzybeDFjjK-DsFjka-8W2q_yRnkW-X5b-UdLnb4mytx8y-bTyfDSdeQgPgCiG6CyQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1905772422</pqid></control><display><type>article</type><title>Reassessing the MADE direct‐push hydraulic conductivity data using a revised calibration procedure</title><source>Wiley-Blackwell AGU Digital Library</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Wiley Online Library All Journals</source><creator>Bohling, Geoffrey C. ; Liu, Gaisheng ; Dietrich, Peter ; Butler, James J.</creator><creatorcontrib>Bohling, Geoffrey C. ; Liu, Gaisheng ; Dietrich, Peter ; Butler, James J.</creatorcontrib><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</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1002/2016WR019008</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>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</subject><ispartof>Water resources research, 2016-11, Vol.52 (11), p.8970-8985</ispartof><rights>2016. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a4010-b50e30ec07300b10722e374090c060affd12df15f894a42a0d483e5d9f683c123</citedby><cites>FETCH-LOGICAL-a4010-b50e30ec07300b10722e374090c060affd12df15f894a42a0d483e5d9f683c123</cites><orcidid>0000-0003-2364-9569 ; 0000-0002-6682-266X ; 0000-0003-2699-2354</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F2016WR019008$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F2016WR019008$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,11513,27923,27924,45573,45574,46467,46891</link.rule.ids></links><search><creatorcontrib>Bohling, Geoffrey C.</creatorcontrib><creatorcontrib>Liu, Gaisheng</creatorcontrib><creatorcontrib>Dietrich, Peter</creatorcontrib><creatorcontrib>Butler, James J.</creatorcontrib><title>Reassessing the MADE direct‐push hydraulic conductivity data using a revised calibration procedure</title><title>Water resources research</title><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</description><subject>aquifer characterization</subject><subject>Autocorrelation</subject><subject>Calibration</subject><subject>Confidence intervals</subject><subject>Data</subject><subject>Data processing</subject><subject>direct‐push</subject><subject>Distribution</subject><subject>Geostatistics</subject><subject>High resolution</subject><subject>Hydraulic conductivity</subject><subject>Hydraulics</subject><subject>Injection</subject><subject>Methods</subject><subject>Noise</subject><subject>Noise prediction</subject><subject>Profiles</subject><subject>Resolution</subject><subject>Tests</subject><subject>Variance</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kL1OwzAUhS0EEqWw8QCWWBgIXP8kTsaqlB-pCKkCdYxc-4a6SpNiJ0XdeASekSchpQyIgeku3z3n6CPklMElA-BXHFgynQDLANI90mOZlJHKlNgnPQApIiYydUiOQlgAMBknqkfsBHUIGIKrXmgzR_owuB5R6zya5vP9Y9WGOZ1vrNdt6Qw1dWVb07i1azbU6kbT9vtRU49rF9BSo0s387pxdUVXvjZoW4_H5KDQZcCTn9snzzejp-FdNH68vR8OxpGWwCCaxYAC0IASADMGinMUSkIGBhLQRWEZtwWLizSTWnINVqYCY5sVSSoM46JPzne5XfNri6HJly4YLEtdYd2GnKVxJhVPUujQsz_oom591a3LO32xUlzybeDFjjK-DsFjka-8W2q_yRnkW-X5b-UdLnb4mytx8y-bTyfDSdeQgPgCiG6CyQ</recordid><startdate>201611</startdate><enddate>201611</enddate><creator>Bohling, Geoffrey C.</creator><creator>Liu, Gaisheng</creator><creator>Dietrich, Peter</creator><creator>Butler, James J.</creator><general>John Wiley & Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7T7</scope><scope>7TG</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0003-2364-9569</orcidid><orcidid>https://orcid.org/0000-0002-6682-266X</orcidid><orcidid>https://orcid.org/0000-0003-2699-2354</orcidid></search><sort><creationdate>201611</creationdate><title>Reassessing the MADE direct‐push hydraulic conductivity data using a revised calibration procedure</title><author>Bohling, Geoffrey C. ; Liu, Gaisheng ; Dietrich, Peter ; Butler, James J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4010-b50e30ec07300b10722e374090c060affd12df15f894a42a0d483e5d9f683c123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>aquifer characterization</topic><topic>Autocorrelation</topic><topic>Calibration</topic><topic>Confidence intervals</topic><topic>Data</topic><topic>Data processing</topic><topic>direct‐push</topic><topic>Distribution</topic><topic>Geostatistics</topic><topic>High resolution</topic><topic>Hydraulic conductivity</topic><topic>Hydraulics</topic><topic>Injection</topic><topic>Methods</topic><topic>Noise</topic><topic>Noise prediction</topic><topic>Profiles</topic><topic>Resolution</topic><topic>Tests</topic><topic>Variance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bohling, Geoffrey C.</creatorcontrib><creatorcontrib>Liu, Gaisheng</creatorcontrib><creatorcontrib>Dietrich, Peter</creatorcontrib><creatorcontrib>Butler, James J.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bohling, Geoffrey C.</au><au>Liu, Gaisheng</au><au>Dietrich, Peter</au><au>Butler, James J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reassessing the MADE direct‐push hydraulic conductivity data using a revised calibration procedure</atitle><jtitle>Water resources research</jtitle><date>2016-11</date><risdate>2016</risdate><volume>52</volume><issue>11</issue><spage>8970</spage><epage>8985</epage><pages>8970-8985</pages><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>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</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/2016WR019008</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-2364-9569</orcidid><orcidid>https://orcid.org/0000-0002-6682-266X</orcidid><orcidid>https://orcid.org/0000-0003-2699-2354</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0043-1397 |
ispartof | Water resources research, 2016-11, Vol.52 (11), p.8970-8985 |
issn | 0043-1397 1944-7973 |
language | eng |
recordid | cdi_proquest_miscellaneous_1859472680 |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T07%3A01%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reassessing%20the%20MADE%20direct%E2%80%90push%20hydraulic%20conductivity%20data%20using%20a%20revised%20calibration%20procedure&rft.jtitle=Water%20resources%20research&rft.au=Bohling,%20Geoffrey%20C.&rft.date=2016-11&rft.volume=52&rft.issue=11&rft.spage=8970&rft.epage=8985&rft.pages=8970-8985&rft.issn=0043-1397&rft.eissn=1944-7973&rft_id=info:doi/10.1002/2016WR019008&rft_dat=%3Cproquest_cross%3E1859472680%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1905772422&rft_id=info:pmid/&rfr_iscdi=true |