Quantitative Multi-Layer Electromagnetic Induction Inversion and Full-Waveform Inversion of Crosshole Ground Penetrating Radar Data
Due to the recent system developments for the electromagnetic characterization of the subsurface, fast and easy acquisition is made feasible due to the fast measurement speed, easy coupling with GPS systems, and the availability of multi-channel electromagnetic induction(EMI) and ground penetrating...
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| Vydané v: | Journal of earth science (Wuhan, China) Ročník 26; číslo 6; s. 844 - 850 |
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| Hlavní autori: | , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Wuhan
China University of Geosciences
01.12.2015
Springer Nature B.V |
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| ISSN: | 1674-487X, 1867-111X |
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| Abstract | Due to the recent system developments for the electromagnetic characterization of the subsurface, fast and easy acquisition is made feasible due to the fast measurement speed, easy coupling with GPS systems, and the availability of multi-channel electromagnetic induction(EMI) and ground penetrating radar(GPR) systems. Moreover, the increasing computer power enables the use of accurate forward modeling programs in advanced inversion algorithms where no approximations are used and the full information content of the measured data can be exploited. Here, recent developments of large-scale quantitative EMI inversion and full-waveform GPR inversion are discussed that yield higher resolution of quantitative medium properties compared to conventional approaches. In both cases a detailed forward model is used in the inversion procedure that is based on Maxwell's equations. The multi-channel EMI data that have different sensing depths for the different source-receiver offset are calibrated using a short electrical resistivity tomography(ERT) calibration line which makes it possible to invert for electrical conductivity changes with depth over large areas. The crosshole GPR full-waveform inversion yields significant higher resolution of the permittivity and conductivity images compared to ray-based inversion results. |
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| AbstractList | Due to the recent system developments for the electromagnetic characterization of the subsurface, fast and easy acquisition is made feasible due to the fast measurement speed, easy coupling with GPS systems, and the availability of multi-channel electromagnetic induction (EMI) and ground penetrating radar (GPR) systems. Moreover, the increasing computer power enables the use of accurate forward modeling programs in advanced inversion algorithms where no approximations are used and the full information content of the measured data can be exploited. Here, recent developments of large-scale quantitative EMI inversion and full-waveform GPR inversion are discussed that yield higher resolution of quantitative medium properties compared to conventional approaches. In both cases a detailed forward model is used in the inversion procedure that is based on Maxwell's equations. The multi-channel EMI data that have different sensing depths for the different source-receiver offset are calibrated using a short electrical resistivity tomography (ERT) calibration line which makes it possible to invert for electrical conductivity changes with depth over large areas. The crosshole GPR full-waveform inversion yields significant higher resolution of the permittivity and conductivity images compared to ray-based inversion results. Due to the recent system developments for the electromagnetic characterization of the subsurface, fast and easy acquisition is made feasible due to the fast measurement speed, easy coupling with GPS systems, and the availability of multi-channel electromagnetic induction(EMI) and ground penetrating radar(GPR) systems. Moreover, the increasing computer power enables the use of accurate forward modeling programs in advanced inversion algorithms where no approximations are used and the full information content of the measured data can be exploited. Here, recent developments of large-scale quantitative EMI inversion and full-waveform GPR inversion are discussed that yield higher resolution of quantitative medium properties compared to conventional approaches. In both cases a detailed forward model is used in the inversion procedure that is based on Maxwell's equations. The multi-channel EMI data that have different sensing depths for the different source-receiver offset are calibrated using a short electrical resistivity tomography(ERT) calibration line which makes it possible to invert for electrical conductivity changes with depth over large areas. The crosshole GPR full-waveform inversion yields significant higher resolution of the permittivity and conductivity images compared to ray-based inversion results. |
| Author | Jan van der Kruk Nils Gueting Anja Klotzsche Guowei He Sebastian Rudolph Christian von Hebel Xi Yang Lutz Weihermüller Achim Mester Harry Vereecken |
| AuthorAffiliation | Agrosphere (IBG-3), Forschungszentrum Jiilich GmbH, Jiilich 52425, Germany Centre for High-Performance Scientific Computing in Terrestrial Systems ( TerrSys), Jiilich 52425, Germany Electronic Systems (ZEA-2), Forschungszentrum Jiilich GmbH, Jiilich 52425, Germany British Geological Survey, Environmenal Science Centre, Key Worth, Nottingham NG12 5GG, UK |
| Author_xml | – sequence: 1 givenname: Jan surname: van der Kruk fullname: van der Kruk, Jan email: j.van.der.kruk@fz-juelich.de organization: Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, Centre for High-Performance Scientific Computing in Terrestrial Systems (TerrSys) – sequence: 2 givenname: Nils surname: Gueting fullname: Gueting, Nils organization: Agrosphere (IBG-3), Forschungszentrum Jülich GmbH – sequence: 3 givenname: Anja surname: Klotzsche fullname: Klotzsche, Anja organization: Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, Centre for High-Performance Scientific Computing in Terrestrial Systems (TerrSys) – sequence: 4 givenname: Guowei surname: He fullname: He, Guowei organization: Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, Centre for High-Performance Scientific Computing in Terrestrial Systems (TerrSys) – sequence: 5 givenname: Sebastian surname: Rudolph fullname: Rudolph, Sebastian organization: Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, British Geological Survey, Environmenal Science Centre – sequence: 6 givenname: Christian surname: von Hebel fullname: von Hebel, Christian organization: Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, Centre for High-Performance Scientific Computing in Terrestrial Systems (TerrSys) – sequence: 7 givenname: Xi surname: Yang fullname: Yang, Xi organization: Agrosphere (IBG-3), Forschungszentrum Jülich GmbH – sequence: 8 givenname: Lutz surname: Weihermüller fullname: Weihermüller, Lutz organization: Agrosphere (IBG-3), Forschungszentrum Jülich GmbH – sequence: 9 givenname: Achim surname: Mester fullname: Mester, Achim organization: Electronic Systems (ZEA-2), Forschungszentrum Jülich GmbH – sequence: 10 givenname: Harry surname: Vereecken fullname: Vereecken, Harry organization: Agrosphere (IBG-3), Forschungszentrum Jülich GmbH, Centre for High-Performance Scientific Computing in Terrestrial Systems (TerrSys) |
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| CitedBy_id | crossref_primary_10_1190_geo2020_0067_1 crossref_primary_10_1190_geo2020_0283_1 crossref_primary_10_1016_j_jappgeo_2025_105655 crossref_primary_10_3390_rs14236066 crossref_primary_10_3390_su142416947 crossref_primary_10_1016_j_geoderma_2020_114431 crossref_primary_10_1190_geo2018_0597_1 crossref_primary_10_1002_2016WR019498 crossref_primary_10_1038_s41597_024_04300_1 crossref_primary_10_1190_geo2017_0617_1 crossref_primary_10_1190_geo2021_0683_1 crossref_primary_10_1029_2021WR030110 crossref_primary_10_1002_nsg_12154 |
| Cites_doi | 10.1093/gji/ggt305 10.1002/2013WR015177 10.1093/gji/ggt528 10.1016/j.jappgeo.2011.01.001 10.2136/vzj2011.0035 10.1016/j.eja.2014.12.004 10.3997/1873-0604.2010054 10.1093/gji/ggt275 10.3997/1873-0604.2012045 10.2136/sssaj2004.3390 10.1016/j.geoderma.2014.11.015 10.1016/j.jhydrol.2015.03.030 10.1016/j.geoderma.2012.06.010 10.1016/j.jappgeo.2013.08.007 10.1002/2013WR014864 10.1109/TGRS.2010.2046670 10.2136/vzj2009.0088 10.1190/geo2011-0458.1 10.3997/1873-0604.2010037 10.1109/TGRS.2007.901048 |
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| Copyright | China University of Geosciences and Springer-Verlag Berlin Heidelberg 2015 |
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| DOI | 10.1007/s12583-015-0610-3 |
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| Notes | ground penetrating radar, electromagnetic induction, full-waveform inversion. Due to the recent system developments for the electromagnetic characterization of the subsurface, fast and easy acquisition is made feasible due to the fast measurement speed, easy coupling with GPS systems, and the availability of multi-channel electromagnetic induction(EMI) and ground penetrating radar(GPR) systems. Moreover, the increasing computer power enables the use of accurate forward modeling programs in advanced inversion algorithms where no approximations are used and the full information content of the measured data can be exploited. Here, recent developments of large-scale quantitative EMI inversion and full-waveform GPR inversion are discussed that yield higher resolution of quantitative medium properties compared to conventional approaches. In both cases a detailed forward model is used in the inversion procedure that is based on Maxwell's equations. The multi-channel EMI data that have different sensing depths for the different source-receiver offset are calibrated using a short electrical resistivity tomography(ERT) calibration line which makes it possible to invert for electrical conductivity changes with depth over large areas. The crosshole GPR full-waveform inversion yields significant higher resolution of the permittivity and conductivity images compared to ray-based inversion results. 42-1788/P ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
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K.DietrichP.WerbanU.Acquisition and Reliability of Geophysical Data in Soil Science19th World Congress of Soil Science: Soil Solutions for a Changing World, Brisbane20102124 MesterA.van der KrukJ.ZimmermannE.Quantitative Two-Layer Conductivity Inversion of Multi-Configuration Electromagnetic Induction MeasurementsVadose Zone Journal20111041319133010.2136/vzj2011.0035 KlotzscheA.van der KrukJ.BradfordJ.Detection of Spatially Limited High-Porosity Layers Using Crosshole GPR Signal Analysis and Full-Waveform InversionWater Resources Research20145086966698510.1002/2013WR015177 von HebelC. 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Oberröhrmann (610_CR16) 2013; 11 F. Lavoué (610_CR10) 2010; 8 X. Yang (610_CR24) 2013; 8409 T. D. Saey (610_CR19) 2012; 189–190 A. K. Nüsch (610_CR15) 2010 C. V. Hebel von (610_CR22) 2014; 50 F. A. Monteiro Santos (610_CR14) 2010; 9 X. Yang (610_CR23) 2013; 99 F. Lavoué (610_CR9) 2014; 197 (610_CR1) 2008; 44 A. Klotzsche (610_CR7) 2012; 77 A. Klotzsche (610_CR5) 2013; 195 A. Stadler (610_CR20) 2015; 64 S. Rudolph (610_CR18) 2015; 241–242 A. Kurzmann (610_CR8) 2013; 195 G. A. Meles (610_CR11) 2011; 73 A. Klotzsche (610_CR4) 2014; 50 G. A. Meles (610_CR12) 2010; 48 |
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