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Quantifying Transient Soil Moisture Dynamics Using Multipoint Direct‐Current Resistivity in Homogeneous Sand
Author(s) -
Franz Trenton E.,
Nolan Jay,
Nordbotten Jan M.,
Caylor Kelly K.,
Slater Lee D.
Publication year - 2011
Publication title -
vadose zone journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.036
H-Index - 81
ISSN - 1539-1663
DOI - 10.2136/vzj2010.0031
Subject(s) - water content , soil science , electrical resistivity tomography , hydraulic conductivity , infiltration (hvac) , spatial variability , geotechnical engineering , moisture , richards equation , isotropy , environmental science , geology , electrical resistivity and conductivity , soil water , meteorology , engineering , mathematics , statistics , physics , quantum mechanics , electrical engineering
Direct measurements of soil moisture are extremely difficult to obtain between the spatial scales of point measurements and remote sensing. Nevertheless, the spatiotemporal distribution of soil moisture remains a key variable in hydrology. In this study, we explored the use of multipoint direct‐current resistivity to examine spatiotemporal changes in soil moisture following a rapid infiltration event into a large macropore. The methodology was selected because the time scale of flow processes in the homogeneous isotropic sand prevented the use of imaging techniques. Selection of an appropriate electrode array was critical for collecting the required high‐resolution spatiotemporal resistivity measurements in a 1.44‐m‐diameter tank. Direct placement of a dense array of electrodes in the sand allowed us to use geostatistical methods for spatial interpolation, thereby removing the inherent uncertainty resulting from inversion mechanics (i.e., smoothness constraints for underconstrained problems). Instead, conversion of resistivity to saturation was directly performed using Archie's law. We compared the observations to a two‐dimensional, axisymmetric, numerical solution of the system using the HYDRUS 2D/3D software, and to a semianalytical solution to estimate soil hydraulic properties. We found satisfactory comparisons among the observations and the numerical and semianalytical solutions of the system, which indicates that these techniques may be applicable to field‐scale estimates of effective hydraulic properties. Subject to limiting initial conditions, boundary conditions, and material properties, the results of the semianalytical solution are encouraging for capturing general hillslope‐scale dynamics at longer temporal scales toward a greater understanding of emergent patterns in dryland ecosystems.

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