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  • Uhlemann et al 2016

    Rights statement: An edited version of this paper was published by AGU. Copyright 2016 American Geophysical Union

    Accepted author manuscript, 3.65 MB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

  • Uhlemann_et_al-2016-Water_Resources_Research

    Rights statement: Copyright 2016 American Geophysical Union

    Final published version, 6.38 MB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License


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Integrated time-lapse geoelectrical imaging of wetland hydrological processes

Research output: Contribution to Journal/MagazineJournal articlepeer-review

<mark>Journal publication date</mark>03/2016
<mark>Journal</mark>Water Resources Research
Issue number3
Number of pages19
Pages (from-to)1607-1625
Publication StatusPublished
Early online date4/03/16
<mark>Original language</mark>English


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.