4.5 Article

Four-dimensional imaging of moisture dynamics during landslide reactivation

Journal

JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
Volume 122, Issue 1, Pages 398-418

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1002/2016JF003983

Keywords

landslide monitoring; soil moisture; slope stability; resistivity monitoring

Funding

  1. E4D
  2. Natural Environment Research Council (NERC)
  3. Engineering and Physical Sciences Research Council [1529680, EP/K027050/1] Funding Source: researchfish
  4. Natural Environment Research Council [NE/M020622/1, bgs05200, NE/P00914X/1] Funding Source: researchfish
  5. EPSRC [EP/K027050/1] Funding Source: UKRI
  6. NERC [NE/M020622/1, bgs05200, NE/P00914X/1] Funding Source: UKRI

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Landslides pose significant risks to communities and infrastructure, and mitigating these risks relies on understanding landslide causes and triggering processes. It has been shown that geophysical surveys can significantly contribute to the characterization of unstable slopes. However, hydrological processes can be temporally and spatially heterogeneous, requiring their related properties to be monitored over time. Geoelectrical monitoring can provide temporal and volumetric distributions of electrical resistivity, which are directly related to moisture content. To date, studies demonstrating this capability have been restricted to 2-D sections, which are insufficient to capture the full degree of spatial heterogeneity. This study is the first to employ 4-D (i.e., 3-D time lapse) resistivity imaging on an active landslide, providing long-term data (3years) highlighting the evolution of moisture content prior to landslide reactivation and showing its decline post reactivation. Crucially, the time-lapse inversion methodology employed here incorporates movements of the electrodes on the unstable surface. Although seasonal characteristics dominate the shallow moisture dynamics during the first 2years with surficial drying in summer and wetting in winter, in the months preceding reactivation, moisture content increased by more than 45% throughout the slope. This is in agreement with independent data showing a significant rise in piezometric heads and shallow soil moisture contents as a result of prolonged and intense rainfall. Based on these results, remediation measures could be designed and early-warning systems implemented. Thus, resistivity monitoring that can allow for moving electrodes provides a new means for the effective mitigation of landslide risk.

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