Landslide kinematics and their potential controls from hourly to decadal timescales: Insights from integrating ground-based InSAR measurements with structural maps and long-term monitoring data

Schulz, William H.; Coe, Jeffrey A.; Ricci, P.; Smoczyk, Gregory M.; Shurtleff, Brett L.; Panosky, Joanna

doi:10.1016/j.geomorph.2017.02.011

Cited by 52 publications

(62 citation statements)

References 66 publications

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“…During the cyclic seasons, Slumgullion moves slowest during winter‐spring and moves fastest during spring‐summer (Coe et al, ; Schulz et al, ; Schulz, Kean, & Wang, ; Schulz, McKenna, et al, ). The Monroe landslide moves slowest in fall (September) and moves fastest in spring (March; Figure ).…”

Section: Discussionmentioning

confidence: 99%

Mobility, Thickness, and Hydraulic Diffusivity of the Slow‐Moving Monroe Landslide in California Revealed by L‐Band Satellite Radar Interferometry

Bürgmann

Lü

et al. 2019

JGR Solid Earth

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Active landslides cause fatalities and property losses worldwide. Landslide behaviors can be enigmatic in natural landscapes and therefore require high-quality observations of their kinematics to improve our ability to predict landslide behavior. Here we use geodetic interferometric synthetic aperture radar (InSAR) observations to characterize the geometry and the spatio-temporal deformation of the slow-moving, deep-seated Monroe landslide in northern California between 2007 and 2017. InSAR phase discontinuities show that the landslide is bounded by discrete strike-slip faults at the lateral margins and segregated into distinct kinematic elements by normal and thrust faults. We find that the Monroe landslide has been moving consistently, with a maximum rate of about 0.7 m/year in the narrowest longitudinal center of the transport zone. The thickest landslide mass is estimated to be in a zone located between subsiding and the uplifting kinematic elements at the lower transport zone. The timing and magnitude of the landslide displacement are modulated by the intensity and duration of precipitation, as well as the antecedent water content of the landslide mass. In addition, we use a one-dimensional pore-water pressure diffusion model to estimate the rainfall-modulated pore-water pressure changes and hydraulic diffusivity. We find hydraulic diffusivity values between 6:8 −2:0 þ2:9 ×10 −5 m 2 /s, which agrees with ground-based measurements in this region. Displacement measurements on the hillslopes obtained from geodetic InSAR observations allow us to characterize the mobility, depth, and hydraulic diffusivity of slow-moving landslides.

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Section: Discussionmentioning

confidence: 99%

Mobility, Thickness, and Hydraulic Diffusivity of the Slow‐Moving Monroe Landslide in California Revealed by L‐Band Satellite Radar Interferometry

Bürgmann

Lü

et al. 2019

JGR Solid Earth

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“…Landslides also denude hillslopes and mobilize sediment that eventually impacts surface water bodies; in many regions, landslides are the primary agent of geomorphic change (Mackey & Roering, 2011;Roering et al, 2009;Schmidt & Montgomery, 1995;Simoni et al, 2013). Elevation of pore-water pressure is a primary cause of landslide failure and acceleration (e.g., Angeli et al, 1996;Bovis & Jones, 1992;Corominas et al, 2005;Fleming et al, 1988;Godt et al, 2008;Guerriero et al, 2014;Handwerger et al, 2013;Iverson, 2000Iverson, , 2005Iverson & Major, 1987;Keefer & Johnson, 1983;Lu & Likos, 2004;Malet et al, 2004;Montgomery et al, 1998;Schulz et al, 2009Schulz et al, , 2012Schulz et al, , 2017Skempton et al, 1989;Terzaghi, 1950;van Asch, 2005;van Asch et al, 2007;Wang et al, 2010). However, although long studied, the ability to predict future landslide behavior remains challenging.…”

Section: Introductionmentioning

confidence: 99%

Clayey Landslide Initiation and Acceleration Strongly Modulated by Soil Swelling

Schulz

Smith

Wang

et al. 2018

Geophysical Research Letters

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Largely unknown mechanisms restrain motion of clay‐rich, slow‐moving landslides that are widespread worldwide and rarely accelerate catastrophically. We studied a clayey, slow‐moving landslide typical of thousands in Northern California, USA, to decipher hydrologic‐mechanical interactions that modulate landslide dynamics. Similar to some other studies, observed pore‐water pressures correlated poorly with landslide reactivation and speed. In situ and laboratory measurements strongly suggested that variable pressure along the landslide's lateral shear boundaries resulting from seasonal soil expansion and contraction modulated its reactivation and speed. Slope‐stability modeling suggested that the landslide's observed behavior could be predicted by including transient swell pressure as a resistance term, whereas modeling considering only transient hydrologic conditions predicted movement five to six months prior to when it was observed. All clayey soils swell to some degree; hence, our findings suggest that swell pressure likely modulates motion of many landslides and should be considered to improve forecasts of clayey landslide initiation and mobility.

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“…By combining the four optimally chosen look directions we are able to extract the full 3-D velocity field, with adequate redundancy in the inversion to accurately estimate errors. [2]. The yellow circles represent USGS GPS control points used in this study.…”

Section: Introductionmentioning

confidence: 99%

Kinematics of the slumgullion landslide from UAVSAR derived interferograms

Delbridge

Bürgmann

Fielding

et al. 2015

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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In order to measure the response of the Slumgullion landslide to hydraulic forcing, we utilize the unique capabilities of the NASA/JPL's UAVSAR airborne repeat-pass SAR interferometry system to provide surface geodetic measurements with "landslidewide" spatial coverage. Unlike traditional space-based INSAR we are not restricted to fixed flight tracks or fixed repeat times, allowing for optimal imaging geometries and timing. We combine four look directions chosen based on the landslide geometry and invert for the full 3-D landslide-wide surface deformation. These observations complement ongoing GPS measurements and in-situ observations of pore-pressure and atmospheric parameters acquired by the U.S. Geological Survey.

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Landslide kinematics and their potential controls from hourly to decadal timescales: Insights from integrating ground-based InSAR measurements with structural maps and long-term monitoring data

Cited by 52 publications

References 66 publications

Mobility, Thickness, and Hydraulic Diffusivity of the Slow‐Moving Monroe Landslide in California Revealed by L‐Band Satellite Radar Interferometry

Mobility, Thickness, and Hydraulic Diffusivity of the Slow‐Moving Monroe Landslide in California Revealed by L‐Band Satellite Radar Interferometry

Clayey Landslide Initiation and Acceleration Strongly Modulated by Soil Swelling

Kinematics of the slumgullion landslide from UAVSAR derived interferograms

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