Uhlemann, S. S. and Sorensen, J. P. R. and House, A. R. and Wilkinson, P. B. and Roberts, C. and Gooddy, D. C. and Binley, A. M. and Chambers, J. E. (2016) Integrated time-lapse geoelectrical imaging of wetland hydrological processes. Water Resources Research, 52 (3). pp. 1607-1625. ISSN 0043-1397
Uhlemann_et_al_2016.pdf - Accepted Version
Available under License Creative Commons Attribution.
Download (3MB)
Uhlemann_et_al_2016_Water_Resources_Research.pdf - Published Version
Available under License Creative Commons Attribution.
Download (6MB)
Abstract
Wetlands provide crucial habitats, are critical in the global carbon cycle, and act as key biogeochemical and hydrological buffers. The effectiveness of these services is mainly controlled by hydrological processes, which can be highly variable both spatially and temporally due to structural complexity and seasonality. Spatial analysis of 2D geoelectrical monitoring data integrated into the interpretation of conventional hydrological data has been implemented to provide a detailed understanding of hydrological processes in a riparian wetland. This study shows that a combination of processes can define the resistivity signature of the shallow subsurface, highlighting the seasonality of these processes and its corresponding effect on biogeochemical processesthe wetland hydrology. Groundwater exchange between peat and the underlying river terrace deposits, spatially and temporally defined by geoelectrical imaging and verified by point sensor data, highlighted the groundwater dependent nature of the wetland. A 30 % increase in peat resistivity was shown to be caused by a nearly entire exchange of the saturating groundwater. For the first time, we showed that automated interpretation of geoelectrical data can be used to quantify shrink-swell of expandable soils, affecting hydrological parameters, such as, porosity, water storage capacity, and permeability. This study shows that an integrated interpretation of hydrological and geophysical data can significantly improve the understanding of wetland hydrological processes. Potentially, this approach can provide the basis for the evaluation of ecosystem services and may aid in the optimization of wetland management strategies.