“…We now compare the results of our model of SP variations induced by rainfall infiltration and evaporation to two SP data sets recorded after rainfall events in two different kinds of soil and climatic conditions: SP monitoring after a single rainfall on a glacial terrace (Thony et al, 1997) and SP monitoring in a lysimeter filled with sandy loam (Doussan et al, 2002). We have not attended to model the actual measurements because we do not have the soil parameters necessary for relevant modelling.…”
Section: Case Studiesmentioning
confidence: 99%
“…Single rainfall in a glacial terrace Thony et al (1997) presented results from SP and hydraulic head monitoring over 10 days on a glacial terrace after a 23.8 mm rainfall event. From these measurements, they calculated the time evolution of zero-flux depth (Fig.…”
Section: Case Studiesmentioning
confidence: 99%
“…9. (a) Electric potential difference (V 50 2 V 30 in mV) recorded by Thony et al (1997) between electrodes at 50 and 30 cm depth after a 23.8 mm rainfall event occurring at day 0, the vertical solid line indicates when the potential difference is zero after the rainfall; (b) zero flux depth (crosses) calculated by Thony et al (1997) after a 23.8 mm rainfall, the vertical solid line indicates when the zero depth is 0.3 m, the two dotted horizontal lines show the position of the electrodes. The electric potential difference is positive during the infiltration phase and as soon as the regime changes to evaporation at the depth of the shallower electrode (Day 5 when the zero-flux is at 0.3 m depth), it becomes negative.…”
Section: Case Studiesmentioning
confidence: 99%
“…Thony et al (1997) obtained through an experiment a linear relationship between SP values and unsaturated soil water flux. Doussan et al (2002) tested experimentally the existence and robustness of such a flux -SP relationship for different soil types and pedoclimatic conditions: they observed that time variations of SP were correlated to both rainfall events and evaporation but that the linear relationship between SP and unsaturated water fluxes is not always valid.…”
Section: Introductionmentioning
confidence: 99%
“…We then compared our model results to the data of Thony et al (1997) and Doussan et al (2002) to determine which features can be identified from SP measurements.…”
“…We now compare the results of our model of SP variations induced by rainfall infiltration and evaporation to two SP data sets recorded after rainfall events in two different kinds of soil and climatic conditions: SP monitoring after a single rainfall on a glacial terrace (Thony et al, 1997) and SP monitoring in a lysimeter filled with sandy loam (Doussan et al, 2002). We have not attended to model the actual measurements because we do not have the soil parameters necessary for relevant modelling.…”
Section: Case Studiesmentioning
confidence: 99%
“…Single rainfall in a glacial terrace Thony et al (1997) presented results from SP and hydraulic head monitoring over 10 days on a glacial terrace after a 23.8 mm rainfall event. From these measurements, they calculated the time evolution of zero-flux depth (Fig.…”
Section: Case Studiesmentioning
confidence: 99%
“…9. (a) Electric potential difference (V 50 2 V 30 in mV) recorded by Thony et al (1997) between electrodes at 50 and 30 cm depth after a 23.8 mm rainfall event occurring at day 0, the vertical solid line indicates when the potential difference is zero after the rainfall; (b) zero flux depth (crosses) calculated by Thony et al (1997) after a 23.8 mm rainfall, the vertical solid line indicates when the zero depth is 0.3 m, the two dotted horizontal lines show the position of the electrodes. The electric potential difference is positive during the infiltration phase and as soon as the regime changes to evaporation at the depth of the shallower electrode (Day 5 when the zero-flux is at 0.3 m depth), it becomes negative.…”
Section: Case Studiesmentioning
confidence: 99%
“…Thony et al (1997) obtained through an experiment a linear relationship between SP values and unsaturated soil water flux. Doussan et al (2002) tested experimentally the existence and robustness of such a flux -SP relationship for different soil types and pedoclimatic conditions: they observed that time variations of SP were correlated to both rainfall events and evaporation but that the linear relationship between SP and unsaturated water fluxes is not always valid.…”
Section: Introductionmentioning
confidence: 99%
“…We then compared our model results to the data of Thony et al (1997) and Doussan et al (2002) to determine which features can be identified from SP measurements.…”
The transport of two immiscible electrolytes through a narrow confinement whose walls bear a finite surface potential is analyzed through a lumped model by considering the influence of a regulatory self-induced axial electric field, termed as streaming potential. The presence of a surface charge on the channel walls culminates in the aqueous solutions carrying a net charge so as to make the overall system (channel and fluid) electrically neutral. The advection due to pressure driven flow or capillarity in the absence of any externally imposed electric field causes a preferential transport of net charged species. Thus, in order to render a net zero current through the system, there is an induced electric field which also retards the flow as a consequence of the force acting on the charged segments of fluid due to the streaming electric field. It is shown through a lumped model that for the situation of two distinct segments of fluids, the rate of front penetration into the capillary is strongly dependent on the relative conductivities of the two fluids. The streaming electric field evolves in accordance to the net conductivity of the channel and is responsible for dynamic changes in the retarding influence on the segments of fluid.
Movement of soil moisture associated with tree root‐water uptake is ecologically important but technically challenging to measure. Here, the self‐potential (SP) method, a passive electrical geophysical method, is used to characterize water flow in situ. Unlike tensiometers, which use a measurement of state (i.e., matric pressure) at two locations to infer fluid flow, the SP method directly measures signals generated by water movement. We collected SP measurements in a two‐dimensional array at the base of a Douglas‐fir tree (Pseudotsuga menziesii) in the H.J. Andrews Experimental Forest in western Oregon over 5 months to provide insight on the propagation of transpiration signals into the subsurface under variable soil moisture. During dry conditions, SP data appear to show downward unsaturated flow, whereas nearby tensiometer data appear to suggest upward flow during this period. After the trees enter dormancy in the fall, precipitation‐induced vertical flow dominates in the SP and tensiometer data. Diel variations in SP data correspond to periods of tree transpiration. Changes in volumetric water content occurring from soil moisture movement during transpiration are not large enough to appear in volumetric water content data. Fluid flow and electrokinetic coupling (i.e., electrical potential distribution) were simulated using COMSOL Multiphysics to explore the system controls on field data. The coupled model, which included a root‐water uptake term, reproduced components of both the long‐term and diel variations in SP measurements, thus indicating that SP has potential to provide spatially and temporally dense measurements of transpiration‐induced changes in water flow. This manuscript presents the first SP measurements focusing on the movement of soil moisture in response to tree transpiration.
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