
Coupled Hydrogeophysical Inversion of Streaming Potential Signals for Unsaturated Soil Hydraulic Properties
Author(s) -
Mboh C. M.,
Huisman J. A.,
Zimmermann E.,
Vereecken H.
Publication year - 2012
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/vzj2011.0115
Subject(s) - vadose zone , hydraulic conductivity , saturation (graph theory) , soil science , streaming current , inversion (geology) , richards equation , porosity , infiltration (hvac) , geology , soil water , chemistry , geotechnical engineering , materials science , geomorphology , mathematics , composite material , electrokinetic phenomena , combinatorics , structural basin
Streaming potential (SP s ) is the electric potential generated by fluid flow in a charged porous medium. The SP s signals are related to pore water velocity, bulk electrical conductivity, pore water charge excess, and soil porosity. While several studies have estimated hydraulic properties of the saturated zone from SP s , there have been fewer attempts to infer unsaturated hydraulic properties from SP s . From numerical and laboratory experiments in which infiltration and subsequent drainage was monitored with nonpolarizable Ag/AgCl electrodes and tensiometers, we showed that it is feasible to estimate three key Mualem–van Genuchten hydraulic parameters (fitting parameters α and n and saturated hydraulic conductivity K s ) and Archie's saturation exponent ( n a ) using a coupled hydrogeophysical inversion approach. In addition to a reasonably good estimate of n a , coupled hydrogeophysical inversion of actual SP s measurements during drainage provided estimates of α, n , and K s that were comparable to those obtained from an independent inversion of the tensiometric data (matric heads). We concluded that coupled hydrogeophysical inversion of time‐lapse SP s signals is a promising method for hydraulic characterization of the vadose zone. Accurate modeling of SP s signals is essential for reliable inversion results, but there is still debate about the appropriate model for the voltage coupling coefficient at partial saturation. Our experimental data showed a nonlinear and monotonic decrease in the absolute voltage coupling coefficient with decreasing saturation. A comparison of several available models with our experimental data showed that models that consider the relative permeability and the relative electrical conductivity in addition to the saturated coupling coefficient and water saturation were most appropriate.