Reducing the Complexity of Inverse Analysis of Time Domain Reflectometry Waveforms
Inverse analysis of time domain reflectometry (TDR) waveform in the frequency domain is important in measuring complex dielectric permittivity of soils. However, for widely used probes designed as impedance mismatching and nonseparable connection between probe head and coaxial cable, none of the ava...
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Veröffentlicht in: | Soil Science Society of America journal 2009-01, Vol.73 (1), p.28-36 |
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description | Inverse analysis of time domain reflectometry (TDR) waveform in the frequency domain is important in measuring complex dielectric permittivity of soils. However, for widely used probes designed as impedance mismatching and nonseparable connection between probe head and coaxial cable, none of the available models can be used for the inverse analysis. The objective of this study was to derive a model which is applicable for this specific type of probes. A two-section (probe head and probe rods) model was derived from the full model of Feng et al. (1999) by reducing its complexity on the basis of the matching design of cable tester and coaxial cable. The model was validated by comparison of the measured spectra of properly terminated coaxial cable with the theoretical values, and the accuracy of the model was studied by the comparison of the estimated complex dielectric permittivity of ethanol by the model with those measured by the network analyzer method. This model was applied to a silt loam soil under different levels of water content and electrical conductivity (EC). The results showed that the two-section model was applicable for this specific type of probes to measure complex dielectric permittivity at low frequency range. The lowest frequency of 30 MHz was used to estimate soil complex dielectric permittivity. The real parts of the estimated soil dielectric permittivity were close to the apparent dielectric permittivity determined by travel time analysis (TTA). The soil bulk EC calculated from the imaginary parts of the estimated soil dielectric permittivity was close to the measured values. |
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However, for widely used probes designed as impedance mismatching and nonseparable connection between probe head and coaxial cable, none of the available models can be used for the inverse analysis. The objective of this study was to derive a model which is applicable for this specific type of probes. A two-section (probe head and probe rods) model was derived from the full model of Feng et al. (1999) by reducing its complexity on the basis of the matching design of cable tester and coaxial cable. The model was validated by comparison of the measured spectra of properly terminated coaxial cable with the theoretical values, and the accuracy of the model was studied by the comparison of the estimated complex dielectric permittivity of ethanol by the model with those measured by the network analyzer method. This model was applied to a silt loam soil under different levels of water content and electrical conductivity (EC). The results showed that the two-section model was applicable for this specific type of probes to measure complex dielectric permittivity at low frequency range. The lowest frequency of 30 MHz was used to estimate soil complex dielectric permittivity. The real parts of the estimated soil dielectric permittivity were close to the apparent dielectric permittivity determined by travel time analysis (TTA). The soil bulk EC calculated from the imaginary parts of the estimated soil dielectric permittivity was close to the measured values.</description><identifier>ISSN: 0361-5995</identifier><identifier>EISSN: 1435-0661</identifier><identifier>DOI: 10.2136/sssaj2008.0085</identifier><identifier>CODEN: SSSJD4</identifier><language>eng</language><publisher>Madison: Soil Science Society</publisher><subject>accuracy ; Agronomy. Soil science and plant productions ; Biological and medical sciences ; Earth sciences ; Earth, ocean, space ; electrical conductivity ; equations ; estimation ; Ethanol ; Exact sciences and technology ; Fourier transform infrared spectroscopy ; Fundamental and applied biological sciences. Psychology ; measurement ; model validation ; Probes ; probes (equipment) ; Silt loam ; silt loam soils ; Soil science ; soil water content ; Soils ; Surficial geology ; time domain reflectometry ; travel time analysis ; Water content</subject><ispartof>Soil Science Society of America journal, 2009-01, Vol.73 (1), p.28-36</ispartof><rights>Soil Science Society of America</rights><rights>2009 INIST-CNRS</rights><rights>Copyright American Society of Agronomy Jan/Feb 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a4295-4c423c241ce742d98bff4128ed5b24181ea5a16b4255307aae4cae639bfbacf93</citedby><cites>FETCH-LOGICAL-a4295-4c423c241ce742d98bff4128ed5b24181ea5a16b4255307aae4cae639bfbacf93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.2136%2Fsssaj2008.0085$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.2136%2Fsssaj2008.0085$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21161520$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Shuai, Xiufu</creatorcontrib><creatorcontrib>Wendroth, Ole</creatorcontrib><creatorcontrib>Lu, Caicheng</creatorcontrib><creatorcontrib>Ray, Chittaranjan</creatorcontrib><title>Reducing the Complexity of Inverse Analysis of Time Domain Reflectometry Waveforms</title><title>Soil Science Society of America journal</title><description>Inverse analysis of time domain reflectometry (TDR) waveform in the frequency domain is important in measuring complex dielectric permittivity of soils. However, for widely used probes designed as impedance mismatching and nonseparable connection between probe head and coaxial cable, none of the available models can be used for the inverse analysis. The objective of this study was to derive a model which is applicable for this specific type of probes. A two-section (probe head and probe rods) model was derived from the full model of Feng et al. (1999) by reducing its complexity on the basis of the matching design of cable tester and coaxial cable. The model was validated by comparison of the measured spectra of properly terminated coaxial cable with the theoretical values, and the accuracy of the model was studied by the comparison of the estimated complex dielectric permittivity of ethanol by the model with those measured by the network analyzer method. This model was applied to a silt loam soil under different levels of water content and electrical conductivity (EC). The results showed that the two-section model was applicable for this specific type of probes to measure complex dielectric permittivity at low frequency range. The lowest frequency of 30 MHz was used to estimate soil complex dielectric permittivity. The real parts of the estimated soil dielectric permittivity were close to the apparent dielectric permittivity determined by travel time analysis (TTA). The soil bulk EC calculated from the imaginary parts of the estimated soil dielectric permittivity was close to the measured values.</description><subject>accuracy</subject><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>electrical conductivity</subject><subject>equations</subject><subject>estimation</subject><subject>Ethanol</subject><subject>Exact sciences and technology</subject><subject>Fourier transform infrared spectroscopy</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>measurement</subject><subject>model validation</subject><subject>Probes</subject><subject>probes (equipment)</subject><subject>Silt loam</subject><subject>silt loam soils</subject><subject>Soil science</subject><subject>soil water content</subject><subject>Soils</subject><subject>Surficial geology</subject><subject>time domain reflectometry</subject><subject>travel time analysis</subject><subject>Water content</subject><issn>0361-5995</issn><issn>1435-0661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFUU1PGzEQtVArkdJeuXaF1OMGfy72gUMUWj6EVCkBcbRmnTHdaHed2htg_z2OEnHlMDOa0XtvRm8IOWV0ypmozlNKsOaU6mkOdUQmTApV0qpiX8iEioqVyhh1TL6ltKaUKUPphCwWuNq6pn8uhn9YzEO3afGtGcYi-OK2f8GYsJj10I6pSbvZQ9NhcRU6aPpigb5FN4QOhzgWT_CCPsQufSdfPbQJfxzqCXn88_thflPe_72-nc_uS5DcqFI6yYXjkjm8kHxldO29ZFzjStV5qhmCAlbVkisl6AUASgdYCVP7Gpw34oSc7XU3MfzfYhrsOmxjvjVZrjUzXGmZQdM9yMWQUkRvN7HpII6WUbuzzX7YZne2ZcKvgyokB62P0LsmfbA4YxVTnGbc5R732rQ4fqJql7M7vlzucm4Pe37u-R6CheeYdzwuOWUif0ZrQyvxDvhHifQ</recordid><startdate>200901</startdate><enddate>200901</enddate><creator>Shuai, Xiufu</creator><creator>Wendroth, Ole</creator><creator>Lu, Caicheng</creator><creator>Ray, Chittaranjan</creator><general>Soil Science Society</general><general>Soil Science Society of America</general><general>American Society of Agronomy</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7T7</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>S0X</scope><scope>SOI</scope></search><sort><creationdate>200901</creationdate><title>Reducing the Complexity of Inverse Analysis of Time Domain Reflectometry Waveforms</title><author>Shuai, Xiufu ; Wendroth, Ole ; Lu, Caicheng ; Ray, Chittaranjan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4295-4c423c241ce742d98bff4128ed5b24181ea5a16b4255307aae4cae639bfbacf93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>accuracy</topic><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>electrical conductivity</topic><topic>equations</topic><topic>estimation</topic><topic>Ethanol</topic><topic>Exact sciences and technology</topic><topic>Fourier transform infrared spectroscopy</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>measurement</topic><topic>model validation</topic><topic>Probes</topic><topic>probes (equipment)</topic><topic>Silt loam</topic><topic>silt loam soils</topic><topic>Soil science</topic><topic>soil water content</topic><topic>Soils</topic><topic>Surficial geology</topic><topic>time domain reflectometry</topic><topic>travel time analysis</topic><topic>Water content</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shuai, Xiufu</creatorcontrib><creatorcontrib>Wendroth, Ole</creatorcontrib><creatorcontrib>Lu, Caicheng</creatorcontrib><creatorcontrib>Ray, Chittaranjan</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>SIRS Editorial</collection><collection>Environment Abstracts</collection><jtitle>Soil Science Society of America journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shuai, Xiufu</au><au>Wendroth, Ole</au><au>Lu, Caicheng</au><au>Ray, Chittaranjan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reducing the Complexity of Inverse Analysis of Time Domain Reflectometry Waveforms</atitle><jtitle>Soil Science Society of America journal</jtitle><date>2009-01</date><risdate>2009</risdate><volume>73</volume><issue>1</issue><spage>28</spage><epage>36</epage><pages>28-36</pages><issn>0361-5995</issn><eissn>1435-0661</eissn><coden>SSSJD4</coden><abstract>Inverse analysis of time domain reflectometry (TDR) waveform in the frequency domain is important in measuring complex dielectric permittivity of soils. However, for widely used probes designed as impedance mismatching and nonseparable connection between probe head and coaxial cable, none of the available models can be used for the inverse analysis. The objective of this study was to derive a model which is applicable for this specific type of probes. A two-section (probe head and probe rods) model was derived from the full model of Feng et al. (1999) by reducing its complexity on the basis of the matching design of cable tester and coaxial cable. The model was validated by comparison of the measured spectra of properly terminated coaxial cable with the theoretical values, and the accuracy of the model was studied by the comparison of the estimated complex dielectric permittivity of ethanol by the model with those measured by the network analyzer method. This model was applied to a silt loam soil under different levels of water content and electrical conductivity (EC). The results showed that the two-section model was applicable for this specific type of probes to measure complex dielectric permittivity at low frequency range. The lowest frequency of 30 MHz was used to estimate soil complex dielectric permittivity. The real parts of the estimated soil dielectric permittivity were close to the apparent dielectric permittivity determined by travel time analysis (TTA). The soil bulk EC calculated from the imaginary parts of the estimated soil dielectric permittivity was close to the measured values.</abstract><cop>Madison</cop><pub>Soil Science Society</pub><doi>10.2136/sssaj2008.0085</doi><tpages>9</tpages></addata></record> |
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subjects | accuracy Agronomy. Soil science and plant productions Biological and medical sciences Earth sciences Earth, ocean, space electrical conductivity equations estimation Ethanol Exact sciences and technology Fourier transform infrared spectroscopy Fundamental and applied biological sciences. Psychology measurement model validation Probes probes (equipment) Silt loam silt loam soils Soil science soil water content Soils Surficial geology time domain reflectometry travel time analysis Water content |
title | Reducing the Complexity of Inverse Analysis of Time Domain Reflectometry Waveforms |
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