Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2017-538
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
13 Sep 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Hydrology and Earth System Sciences (HESS).
Soil hydraulic material properties and subsurface architecture from time-lapse GPR
Stefan Jaumann1,2 and Kurt Roth1,3 1Institute of Environmental Physics, Heidelberg University, Im Neuenheimer Feld 229, 69120 Heidelberg, Germany
2HGSMathComp, Heidelberg University, Im Neuenheimer Feld 205, 69120 Heidelberg, Germany
3Interdisciplinary Center for Scientific Computing, Heidelberg University, Im Neuenheimer Feld 205, 69120 Heidelberg, Germany
Abstract. Quantitative knowledge of effective soil hydraulic material properties is essential to predict soil water movement. Ground-penetrating radar (GPR) is a non-invasive and non-destructive geophysical measurement method to monitor the hydraulic processes precisely. Previous studies showed that the GPR signal from a fluctuating groundwater table is sensitive to the soil water characteristic and the hydraulic conductivity function. In this work, we show that this signal is suitable to accurately estimate the subsurface architecture and the associated effective soil hydraulic material properties with inversion methods. Therefore, we parameterize the subsurface architecture, solve the Richards equation, convert the resulting water content to relative permittivity with the complex reflective index model (CRIM), and solve Maxwell's equations numerically. In order to analyze the GPR signal, we implemented a new heuristic event detection and association algorithm. Using events instead of the full wave regularizes the inversion as it allows to focus on the relevant measurement signal. Starting from an ensemble of Latin hypercube drawn initial parameter sets, we sequentially couple the simulated annealing algorithm with the Levenberg–Marquardt algorithm. We apply the method to synthetic as well as measured data from the ASSESS test site and show that the method yields accurate estimates for the soil hydraulic material properties as well as for the subsurface architecture by comparing the results to references derived from time domain reflectometry (TDR) and subsurface architecture ground truth data.

Citation: Jaumann, S. and Roth, K.: Soil hydraulic material properties and subsurface architecture from time-lapse GPR, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-538, in review, 2017.
Stefan Jaumann and Kurt Roth
Stefan Jaumann and Kurt Roth
Stefan Jaumann and Kurt Roth

Viewed

Total article views: 176 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
137 37 2 176 0 1

Views and downloads (calculated since 13 Sep 2017)

Cumulative views and downloads (calculated since 13 Sep 2017)

Viewed (geographical distribution)

Total article views: 176 (including HTML, PDF, and XML)

Thereof 174 with geography defined and 2 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 19 Sep 2017
Publications Copernicus
Download
Short summary
Ground-penetrating radar (GPR) is a non-invasive and non-destructive measurement method to monitor the hydraulic processes precisely and efficiently. We analyze synthetic as well as measured data from the ASSESS test site and show that the analysis yields accurate estimates for the soil hydraulic material properties as well as for the subsurface architecture by comparing the results to references derived from time domain reflectometry (TDR) and subsurface architecture ground truth data.
Ground-penetrating radar (GPR) is a non-invasive and non-destructive measurement method to...
Share