Coulomb Mechanics and Relief Constraints Explain Landslide Size Distribution. Issue 8 (17th April 2019)

• Record Type: Journal Article
• Authors: Jeandet, L.; Steer, P.; Lague, D.; Davy, P.
• Is Part Of: Geophysical research letters. Volume 46:Issue 8(2019)
• Page Start: 4258
• Page End: 4266
• Publication Date: 2019-04-17
• Subjects: landslides -- hillslope stability -- cohesion -- landscape evolution -- Mohr‐Coulomb analysis -- probability density function; Geophysics -- Periodicals; Planets -- Periodicals; Lunar geology -- Periodicals; 550
• DOI: 10.1029/2019GL082351
• Languages: English
• ISSNs: 0094-8276

Abstract

Abstract: Despite the idea that topography could control landslide size scaling law, the contribution of landscape geometry to landslide size distribution remains elusive. We define a simple mechanical model accounting for the complexity and variability of natural hillslopes to infer the landslide depth probability density function (PDF) in a given landscape and upscale it to landslide area PDF. This model is based on both a Mohr‐Coulomb stability analysis, accounting for cohesion and friction, and a criterion of intersection between rupture planes and the topographic surface. It can reproduce the distribution of observed landslide areas triggered by several past events. We found the ranges of effective cohesion (10–35 kPa) and friction (20–45°) consistent with previous estimates of large‐scale rock strength. Using synthetic topographies, we found that the finite geometry of hillslopes (length, steepness, and concavity) exerts a first‐order control on the PDF of landslide areas, especially for large landslides. Key Points: We developed a mechanical model to infer the distribution of landslide depths in a given landscape, accounting for hillslope geometry We demonstrate the role of hillslope length, slope, and concavity in setting the distribution of landslide sizes Hillslope geometry, not only slope, may have a large impact on the total landslide volume of sediments triggered by earthquakes or storms