Four-dimensional surface motions of the Slumgullion landslide and quantification of hydrometeorological forcing
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- More information: Publisher Index Page (via DOI)
- Data Release: USGS data release - Data from in-situ displacement monitoring, Slumgullion landslide, Hinsdale County, Colorado
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Abstract
Landslides modify the natural landscape and cause fatalities and property damage worldwide. Quantifying landslide dynamics is challenging due to the stochastic nature of the environment. With its large area of ~1 km2 and perennial motions at ~10–20 mm per day, the Slumgullion landslide in Colorado, USA, represents an ideal natural laboratory to better understand landslide behavior. Here, we use hybrid remote sensing data and methods to recover the four-dimensional surface motions during 2011–2018. We refine the boundaries of an area of ~0.35 km2 below the crest of the prehistoric landslide. We construct a mechanical framework to quantify the rheology, subsurface channel geometry, mass flow rate, and spatiotemporally dependent pore-water pressure feedback through a joint analysis of displacement and hydrometeorological measurements from ground, air and space. Our study demonstrates the importance of remotely characterizing often inaccessible, dangerous slopes to better understand landslides and other quasi-static mass fluxes in natural and industrial environments, which will ultimately help reduce associated hazards.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Four-dimensional surface motions of the Slumgullion landslide and quantification of hydrometeorological forcing |
| Series title | Nature Communications |
| DOI | 10.1038/s41467-020-16617-7 |
| Volume | 11 |
| Year Published | 2020 |
| Language | English |
| Publisher | Nature |
| Contributing office(s) | Geologic Hazards Science Center |
| Description | 2792, 9 p. |
| Country | United States |
| State | Colorado |
| Other Geospatial | Slumgullion landslide |
| Google Analytic Metrics | Metrics page |