Coupled hydrogeophysical inversion of time-lapse surface GPR data to estimate hydraulic properties of a layered subsurface

被引:40
|
作者
Busch, Sebastian [1 ]
Weihermueller, Lutz [1 ]
Huisman, Johan A. [1 ]
Steelman, Colby M. [2 ]
Endres, Anthony L. [3 ]
Vereecken, Harry [1 ]
van der Kruk, Jan [1 ]
机构
[1] Forschungszentrum Julich, Inst Bio & Geosci Agrosphere IBG 3, D-52425 Julich, Germany
[2] Univ Guelph, Sch Engn, Guelph, ON N1G 2W1, Canada
[3] Univ Waterloo, Dept Earth & Environm Sci, Waterloo, ON N2L 3G1, Canada
关键词
surface ground-penetrating radar; time-lapse measurements; vadose zone; soil hydraulic parameters; coupled inversion; capillary and film flow; SOIL-WATER CONTENT; GROUND-PENETRATING-RADAR; POROUS-MEDIA; CONDUCTIVITY; FIELD; PARAMETERS; MODEL;
D O I
10.1002/2013WR013992
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A major challenge in vadose zone hydrology is to obtain accurate information on the temporal changes of the vertical soil water distribution and its feedback with the atmosphere and groundwater. A state of the art coupled hydrogeophysical inversion scheme is applied to evaluate soil hydraulic properties of a synthetic model and a field soil in southern Ontario based on time-lapse monitoring of soil dynamics with surface ground-penetrating radar (GPR). Film flow was included in the hydrological model to account for noncapillary water flow in a sandy medium during dry conditions. The synthetic study illustrated that GPR data contain sufficient information to accurately constrain soil hydraulic parameters within a coupled inversion framework and led to an accurate estimation of the soil hydraulic properties. When film flow was not accounted for within the inversion, an equally good fit could still be achieved. In this case, errors introduced by neglecting film flow were compensated by different hydraulic parameters. For the field data, the coupled inversion reduced the overall misfit compared to an uncalibrated model using hydraulic parameters obtained from laboratory data. Although the data fit improved significantly for water content in the deeper soil layers, accounting for film flow in the uppermost subsurface layer did not lead to a better fit of the GPR data. Further research is needed to describe the processes controlling water content in the dry range, in particular coupled heat and vapor transport. This study illustrates the suitability of surface GPR measurements combined with coupled inversion for near-surface characterization of soil hydraulic parameters.
引用
收藏
页码:8480 / 8494
页数:15
相关论文
共 47 条
  • [31] Application of an extended Kalman filter approach to inversion of time-lapse electrical resistivity imaging data for monitoring recharge
    Nenna, Vanessa
    Pidlisecky, Adam
    Knight, Rosemary
    WATER RESOURCES RESEARCH, 2011, 47
  • [32] Stochastic inversion of time-lapse electrical resistivity tomography data by means of an adaptive ensemble-based approach
    Vinciguerra, Alessandro
    Aleardi, Mattia
    Madsen, Line Meldgaard
    Bording, Thue Sylvester
    Christiansen, Anders Vest
    Stucchi, Eusebio
    GEOPHYSICAL PROSPECTING, 2024, 72 (01) : 268 - 284
  • [33] Towards real-time monitoring: data assimilated time-lapse full waveform inversion for seismic velocity and uncertainty estimation
    Huang, Chao
    Zhu, Tieyuan
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2020, 223 (02) : 811 - 824
  • [34] Estimating picking errors in near-surface seismic data to enable their time-lapse interpretation of hydrosystems
    Dangeard, M.
    Bodet, L.
    Pasquet, S.
    Thiesson, J.
    Guerin, R.
    Jougnot, D.
    Longuevergne, L.
    NEAR SURFACE GEOPHYSICS, 2018, 16 (06) : 613 - 625
  • [35] Coupled full-waveform inversion of horizontal borehole ground penetrating radar data to estimate soil hydraulic parameters: A synthetic study
    Yu, Yi
    Huisman, Johan Alexander
    Klotzsche, Anja
    Vereecken, Harry
    Weihermueller, Lutz
    JOURNAL OF HYDROLOGY, 2022, 610
  • [36] Inverting surface GPR data using FDTD simulation and automatic detection of reflections to estimate subsurface water content and geometry
    Buchner, Jens S.
    Wollschlaeger, Ute
    Roth, Kurt
    GEOPHYSICS, 2012, 77 (04) : H45 - H55
  • [37] Temporal filtering and time-lapse inversion of geoelectrical data for long-term monitoring with application to a chlorinated hydrocarbon contaminated site
    Nivorlis, Aristeidis
    Rossi, Matteo
    Dahlin, Torleif
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2022, 228 (03) : 1648 - 1664
  • [38] Constrained nonlinear amplitude-variation-with-offset inversion for reservoir dynamic changes estimation from time-lapse seismic data
    Ahmed, Nisar
    Weibull, Wiktor Waldemar
    Grana, Dario
    Bhakta, Tuhin
    GEOPHYSICS, 2024, 89 (01) : R1 - R15
  • [39] Coupled land surface-subsurface hydrogeophysical inverse modeling to estimate soil organic carbon content and explore associated hydrological and thermal dynamics in the Arctic tundra
    Tran, Anh Phuong
    Dafflon, Baptiste
    Hubbard, Susan S.
    CRYOSPHERE, 2017, 11 (05) : 2089 - 2109
  • [40] 3-D Inversion of the Data-Normalized Time-Lapse Controlled-Source Audio-Frequency Magnetotelluric Method
    Hu, Qixuan
    Tan, Handong
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62 : 1 - 10