Self‐potential signals of soil columns experiencing evaporation and transpiration

Abstract The self‐potential (SP) method has been used in hydrological sciences to monitor many hydrologic processes thanks to the electrokinetic coupling between water flow and streaming current in geological materials. Despite many useful applications, quantitative interpretations are still rare, in particular for unsaturated soils where the water fluxes are of orders lower than that in saturated conditions. In this study, we used laboratory soil column tests to simulate vadose zone hydrologic processes (drainage, evaporation, and transpiration) and to generate SP data in low water flow conditions. The measured water fluxes and SP signals in different hydrologic stages of the tests are used to study if electrokinetic coupling is still the dominant mechanism for the SP signals in unsaturated, low‐flow conditions. Theoretical models of electrokinetic and electrodiffusion couplings are also used to guide the analysis. It is shown that the SP signals measured during soil evaporation and plant transpiration in this soil column test were not only caused by unsaturated water flows in the soil column through electrokinetic coupling. Instead, they are likely related to the ion concentration gradient in the soil column, which creates an electrical current of a diffusive nature. The ion concentration gradient is likely related to the different reaction rates of mineral–water interactions in saturated and unsaturated soils. This study, therefore, highlighted the importance of considering the electrodiffusion coupling in interpreting the measured SP signals in vadose zone hydrology.

Authors

Institutions

Publication Details

Journal
Vadose Zone Journal
Published
2025-03-01
DOI
https://doi.org/10.1002/vzj2.70009
Citations
1
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self‐potential signals of soil columns experiencing evaporation and transpiration

Qifei Niu, C.R. McDavid
1 citations
Vadose Zone Journal
Soil Moisture and Remote Sensing
0.80
article

Self‐potential signals of soil columns experiencing evaporation and transpiration

Qifei Niu, C.R. McDavid
article en
1 citations

Abstract

Abstract The self‐potential (SP) method has been used in hydrological sciences to monitor many hydrologic processes thanks to the electrokinetic coupling between water flow and streaming current in geological materials. Despite many useful applications, quantitative interpretations are still rare, in particular for unsaturated soils where the water fluxes are of orders lower than that in saturated conditions. In this study, we used laboratory soil column tests to simulate vadose zone hydrologic processes (drainage, evaporation, and transpiration) and to generate SP data in low water flow conditions. The measured water fluxes and SP signals in different hydrologic stages of the tests are used to study if electrokinetic coupling is still the dominant mechanism for the SP signals in unsaturated, low‐flow conditions. Theoretical models of electrokinetic and electrodiffusion couplings are also used to guide the analysis. It is shown that the SP signals measured during soil evaporation and plant transpiration in this soil column test were not only caused by unsaturated water flows in the soil column through electrokinetic coupling. Instead, they are likely related to the ion concentration gradient in the soil column, which creates an electrical current of a diffusive nature. The ion concentration gradient is likely related to the different reaction rates of mineral–water interactions in saturated and unsaturated soils. This study, therefore, highlighted the importance of considering the electrodiffusion coupling in interpreting the measured SP signals in vadose zone hydrology.

Vadose Zone JournalVol. 24(2)
Boise State University (US)
Openalex Percentile: Top 32%
Soil Moisture and Remote Sensing
0.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.