guest ::
| Home > Publications database > Resolving Infiltration-Induced Water Content Profiles by Inversion of Dispersive Ground-Penetrating Radar Data > print |
| Home > Publications database > Resolving Infiltration-Induced Water Content Profiles by Inversion of Dispersive Ground-Penetrating Radar Data > print |
| 001 | 840430 | ||
| 005 | 20210129231831.0 | ||
| 024 | 7 | _ | |a 10.2136/vzj2017.02.0037 |2 doi |
| 024 | 7 | _ | |a WOS:000413430000008 |2 WOS |
| 037 | _ | _ | |a FZJ-2017-07947 |
| 082 | _ | _ | |a 550 |
| 100 | 1 | _ | |a Mangel, Adam R. |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Resolving Infiltration-Induced Water Content Profiles by Inversion of Dispersive Ground-Penetrating Radar Data |
| 260 | _ | _ | |a Madison, Wis. |c 2017 |b SSSA |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1512374314_12599 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Ground-penetrating radar (GPR) data were collected before, during, and after a 24-min-long forced infiltration event in a large sand tank. High spatial and temporal resolution were achieved by automation of the radar system, thereby allowing these data to be collected during the course of the experiment while continuously changing the distance between the antennas through offsets ranging between 0.17 and 2.17 m. These multi-offset data showed evidence of a phenomenon known as waveguide dispersion during early infiltration times (5–10 min), indicating that a shallow layer of high water content was present. The GPR data exhibiting this dispersive behavior were used to fit water content profiles for the wetting front, i.e., the waveguide, with time using either a blocky-layer model or a piecewise linear function. Results from the separate inversions showed good agreement with in situ soil moisture measurements and a calibrated unsaturated flow model. The piecewise linear model, however, was able to honor the gradational nature of the hydrologically induced waveguide and was in better agreement with the observed soil moisture data. Furthermore, the piecewise linear model returned a water content profile that showed a consistent progression of the wetting front with time, whereas a less consistent progression of the wetting front was observed for the blocky-layer model. |
| 536 | _ | _ | |a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) |0 G:(DE-HGF)POF3-255 |c POF3-255 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Moysey, Stephen M. J. |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a van der Kruk, Jan |0 P:(DE-Juel1)129561 |b 2 |
| 773 | _ | _ | |a 10.2136/vzj2017.02.0037 |g Vol. 16, no. 10, p. 0 - |0 PERI:(DE-600)2088189-7 |n 10 |p 0 - |t Vadose zone journal |v 16 |y 2017 |x 1539-1663 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/840430/files/vzj-16-10-vzj2017.02.0037.pdf |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/840430/files/vzj-16-10-vzj2017.02.0037.gif?subformat=icon |x icon |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/840430/files/vzj-16-10-vzj2017.02.0037.jpg?subformat=icon-1440 |x icon-1440 |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/840430/files/vzj-16-10-vzj2017.02.0037.jpg?subformat=icon-180 |x icon-180 |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/840430/files/vzj-16-10-vzj2017.02.0037.jpg?subformat=icon-640 |x icon-640 |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/840430/files/vzj-16-10-vzj2017.02.0037.pdf?subformat=pdfa |x pdfa |y Restricted |
| 909 | C | O | |o oai:juser.fz-juelich.de:840430 |p VDB |p VDB:Earth_Environment |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)129561 |
| 913 | 1 | _ | |a DE-HGF |l Terrestrische Umwelt |1 G:(DE-HGF)POF3-250 |0 G:(DE-HGF)POF3-255 |2 G:(DE-HGF)POF3-200 |v Terrestrial Systems: From Observation to Prediction |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Erde und Umwelt |
| 914 | 1 | _ | |y 2017 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b VADOSE ZONE J : 2015 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1060 |2 StatID |b Current Contents - Agriculture, Biology and Environmental Sciences |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBG-3-20101118 |k IBG-3 |l Agrosphäre |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IBG-3-20101118 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|