Derivation of soil-specific streaming potential electrical parameters from hydrodynamic characteristics of partially saturated soils

TL;DR

This paper introduces a new theoretical method to predict streaming potentials in unsaturated soils by using flux-averaged excess charge, improving accuracy over previous models and aligning better with laboratory and field data.

Contribution

It develops a novel approach based on flux-averaged excess charge to accurately predict streaming potentials across different soil types.

Findings

Predictions align well with field data for sandy loam.

New relationships explain laboratory data better than previous models.

Model predicts larger streaming potentials during rainfall events.

Abstract

Water movement in unsaturated soils gives rise to measurable electrical potential differences that are related to the flow direction and volumetric fluxes, as well as to the soil properties themselves. Laboratory and field data suggest that these so-called streaming potentials may be several orders of magnitudes larger than theoretical predictions that only consider the influence of the relative permeability and electrical conductivity on the self potential (SP) data. Recent work has partly improved predictions by considering how the volumetric excess charge in the pore space scales with the inverse of water saturation. We present a new theoretical approach that uses the flux-averaged excess charge, not the volumetric excess charge, to predict streaming potentials. We present relationships for how this effective excess charge varies with water saturation for typical soil properties using either the water retention or the relative permeability function. We find large differences between soil types and the predictions based on the relative permeability function display the best agreement with field data. The new relationships better explain laboratory data than previous work and allow us to predict the recorded magnitudes of the streaming potentials following a rainfall event in sandy loam, whereas previous models predict three orders of magnitude too small values. We suggest that the strong signals in unsaturated media can be used to gain information about fluxes (including very small ones related to film flow), but also to constrain the relative permeability function, the water retention curve, and the relative electrical conductivity function.