Use of existing pore models and X-ray computed tomography to predict saturated soil hydraulic conductivity
This study investigates the use of 3D soil pore characteristics (volume, surface area, and tortuosity) for prediction of saturated hydraulic conductivity ( K s). The pore characteristics were determined by cluster labeling of X-ray CT images and random-walk simulations of 3D pore space. The flow cha...
Gespeichert in:
| Veröffentlicht in: | Geoderma 2010-05, Vol.156 (3), p.133-142 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 142 |
|---|---|
| container_issue | 3 |
| container_start_page | 133 |
| container_title | Geoderma |
| container_volume | 156 |
| creator | Elliot, T.R. Reynolds, W.D. Heck, R.J. |
| description | This study investigates the use of 3D soil pore characteristics (volume, surface area, and tortuosity) for prediction of saturated hydraulic conductivity (
K
s). The pore characteristics were determined by cluster labeling of X-ray CT images and random-walk simulations of 3D pore space. The flow characteristics of the four soil cores were measured in the laboratory pre- and post-CT imaging. The predicted values of
K
s were arrived at through the use of Darcy's equation and a modified Poiseuille equation. For comparison the 2D pore characteristics were determined from individual slice of X-ray CT imagery, and fed into three established methods of predicting
K
s. The predicted
K
s by the proposed method exhibited a positive correlation to both pre- and post-imaging measured
K
s, and attained a greater correlation than the 2D
K
s prediction. |
| doi_str_mv | 10.1016/j.geoderma.2010.02.010 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_745643387</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0016706110000455</els_id><sourcerecordid>1671372846</sourcerecordid><originalsourceid>FETCH-LOGICAL-a430t-463c7c56e4a757f02f90185bdc61b3fa9fcf72692173165ec46ec1a7139affe33</originalsourceid><addsrcrecordid>eNqFkU9v1DAQxS1UJLYLXwH5gsolW_9J7ORWVBVaqVIvVOJmTZ3x1qskDrZTkW-PV1s4wmns8e-9seYR8pGzHWdcXR52eww9xhF2gpUmE7tS3pANb7WolGi6M7Jhhaw0U_wdOU_pUK6aCbYhh8eENDiKv3zKftrTOUSkY_EbEoWppz-qCCu1YZyXjD3NYQz7CPPzWo50jth7m2mCvEQ4vqfgB_q89hGWwduim_rFZv_i8_qevHUwJPzwWrfk8evN9-vb6v7h2931l_sKaslyVStptW0U1qAb7ZhwHeNt89RbxZ-kg85Zp4XqBNeSqwZtrdBy0Fx24BxKuSUXJ985hp8LpmxGnywOA0wYlmR03ahaylYX8vM_Sa6KqxZt-dKWqBNqY0gpojNz9CPE1XBmjjGYg_kTgznGYJgwpRThp9cZkCwMLsJkffqrFkK1Soq2cFcnriweXzxGk6zHyZYFR7TZ9MH_b9RvzQCilA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1671372846</pqid></control><display><type>article</type><title>Use of existing pore models and X-ray computed tomography to predict saturated soil hydraulic conductivity</title><source>Elsevier ScienceDirect Journals</source><creator>Elliot, T.R. ; Reynolds, W.D. ; Heck, R.J.</creator><creatorcontrib>Elliot, T.R. ; Reynolds, W.D. ; Heck, R.J.</creatorcontrib><description>This study investigates the use of 3D soil pore characteristics (volume, surface area, and tortuosity) for prediction of saturated hydraulic conductivity (
K
s). The pore characteristics were determined by cluster labeling of X-ray CT images and random-walk simulations of 3D pore space. The flow characteristics of the four soil cores were measured in the laboratory pre- and post-CT imaging. The predicted values of
K
s were arrived at through the use of Darcy's equation and a modified Poiseuille equation. For comparison the 2D pore characteristics were determined from individual slice of X-ray CT imagery, and fed into three established methods of predicting
K
s. The predicted
K
s by the proposed method exhibited a positive correlation to both pre- and post-imaging measured
K
s, and attained a greater correlation than the 2D
K
s prediction.</description><identifier>ISSN: 0016-7061</identifier><identifier>EISSN: 1872-6259</identifier><identifier>DOI: 10.1016/j.geoderma.2010.02.010</identifier><identifier>CODEN: GEDMAB</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Agronomy. Soil science and plant productions ; Biological and medical sciences ; Computed tomography ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Fluid flow ; Fundamental and applied biological sciences. Psychology ; Hydraulic conductivity ; Hydraulics ; Mathematical models ; Porosity ; Random walk ; Soil (material) ; Soils ; Surficial geology ; Three dimensional ; X-rays</subject><ispartof>Geoderma, 2010-05, Vol.156 (3), p.133-142</ispartof><rights>2010 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a430t-463c7c56e4a757f02f90185bdc61b3fa9fcf72692173165ec46ec1a7139affe33</citedby><cites>FETCH-LOGICAL-a430t-463c7c56e4a757f02f90185bdc61b3fa9fcf72692173165ec46ec1a7139affe33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0016706110000455$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22686328$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Elliot, T.R.</creatorcontrib><creatorcontrib>Reynolds, W.D.</creatorcontrib><creatorcontrib>Heck, R.J.</creatorcontrib><title>Use of existing pore models and X-ray computed tomography to predict saturated soil hydraulic conductivity</title><title>Geoderma</title><description>This study investigates the use of 3D soil pore characteristics (volume, surface area, and tortuosity) for prediction of saturated hydraulic conductivity (
K
s). The pore characteristics were determined by cluster labeling of X-ray CT images and random-walk simulations of 3D pore space. The flow characteristics of the four soil cores were measured in the laboratory pre- and post-CT imaging. The predicted values of
K
s were arrived at through the use of Darcy's equation and a modified Poiseuille equation. For comparison the 2D pore characteristics were determined from individual slice of X-ray CT imagery, and fed into three established methods of predicting
K
s. The predicted
K
s by the proposed method exhibited a positive correlation to both pre- and post-imaging measured
K
s, and attained a greater correlation than the 2D
K
s prediction.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Computed tomography</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Fluid flow</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Hydraulic conductivity</subject><subject>Hydraulics</subject><subject>Mathematical models</subject><subject>Porosity</subject><subject>Random walk</subject><subject>Soil (material)</subject><subject>Soils</subject><subject>Surficial geology</subject><subject>Three dimensional</subject><subject>X-rays</subject><issn>0016-7061</issn><issn>1872-6259</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkU9v1DAQxS1UJLYLXwH5gsolW_9J7ORWVBVaqVIvVOJmTZ3x1qskDrZTkW-PV1s4wmns8e-9seYR8pGzHWdcXR52eww9xhF2gpUmE7tS3pANb7WolGi6M7Jhhaw0U_wdOU_pUK6aCbYhh8eENDiKv3zKftrTOUSkY_EbEoWppz-qCCu1YZyXjD3NYQz7CPPzWo50jth7m2mCvEQ4vqfgB_q89hGWwduim_rFZv_i8_qevHUwJPzwWrfk8evN9-vb6v7h2931l_sKaslyVStptW0U1qAb7ZhwHeNt89RbxZ-kg85Zp4XqBNeSqwZtrdBy0Fx24BxKuSUXJ985hp8LpmxGnywOA0wYlmR03ahaylYX8vM_Sa6KqxZt-dKWqBNqY0gpojNz9CPE1XBmjjGYg_kTgznGYJgwpRThp9cZkCwMLsJkffqrFkK1Soq2cFcnriweXzxGk6zHyZYFR7TZ9MH_b9RvzQCilA</recordid><startdate>20100515</startdate><enddate>20100515</enddate><creator>Elliot, T.R.</creator><creator>Reynolds, W.D.</creator><creator>Heck, R.J.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>7QO</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>P64</scope></search><sort><creationdate>20100515</creationdate><title>Use of existing pore models and X-ray computed tomography to predict saturated soil hydraulic conductivity</title><author>Elliot, T.R. ; Reynolds, W.D. ; Heck, R.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a430t-463c7c56e4a757f02f90185bdc61b3fa9fcf72692173165ec46ec1a7139affe33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Computed tomography</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Fluid flow</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Hydraulic conductivity</topic><topic>Hydraulics</topic><topic>Mathematical models</topic><topic>Porosity</topic><topic>Random walk</topic><topic>Soil (material)</topic><topic>Soils</topic><topic>Surficial geology</topic><topic>Three dimensional</topic><topic>X-rays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Elliot, T.R.</creatorcontrib><creatorcontrib>Reynolds, W.D.</creatorcontrib><creatorcontrib>Heck, R.J.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Geoderma</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Elliot, T.R.</au><au>Reynolds, W.D.</au><au>Heck, R.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Use of existing pore models and X-ray computed tomography to predict saturated soil hydraulic conductivity</atitle><jtitle>Geoderma</jtitle><date>2010-05-15</date><risdate>2010</risdate><volume>156</volume><issue>3</issue><spage>133</spage><epage>142</epage><pages>133-142</pages><issn>0016-7061</issn><eissn>1872-6259</eissn><coden>GEDMAB</coden><abstract>This study investigates the use of 3D soil pore characteristics (volume, surface area, and tortuosity) for prediction of saturated hydraulic conductivity (
K
s). The pore characteristics were determined by cluster labeling of X-ray CT images and random-walk simulations of 3D pore space. The flow characteristics of the four soil cores were measured in the laboratory pre- and post-CT imaging. The predicted values of
K
s were arrived at through the use of Darcy's equation and a modified Poiseuille equation. For comparison the 2D pore characteristics were determined from individual slice of X-ray CT imagery, and fed into three established methods of predicting
K
s. The predicted
K
s by the proposed method exhibited a positive correlation to both pre- and post-imaging measured
K
s, and attained a greater correlation than the 2D
K
s prediction.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.geoderma.2010.02.010</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0016-7061 |
| ispartof | Geoderma, 2010-05, Vol.156 (3), p.133-142 |
| issn | 0016-7061 1872-6259 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_745643387 |
| source | Elsevier ScienceDirect Journals |
| subjects | Agronomy. Soil science and plant productions Biological and medical sciences Computed tomography Earth sciences Earth, ocean, space Exact sciences and technology Fluid flow Fundamental and applied biological sciences. Psychology Hydraulic conductivity Hydraulics Mathematical models Porosity Random walk Soil (material) Soils Surficial geology Three dimensional X-rays |
| title | Use of existing pore models and X-ray computed tomography to predict saturated soil hydraulic conductivity |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T04%3A13%3A31IST&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=Use%20of%20existing%20pore%20models%20and%20X-ray%20computed%20tomography%20to%20predict%20saturated%20soil%20hydraulic%20conductivity&rft.jtitle=Geoderma&rft.au=Elliot,%20T.R.&rft.date=2010-05-15&rft.volume=156&rft.issue=3&rft.spage=133&rft.epage=142&rft.pages=133-142&rft.issn=0016-7061&rft.eissn=1872-6259&rft.coden=GEDMAB&rft_id=info:doi/10.1016/j.geoderma.2010.02.010&rft_dat=%3Cproquest_cross%3E1671372846%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=1671372846&rft_id=info:pmid/&rft_els_id=S0016706110000455&rfr_iscdi=true |