Analysis of a new geomorphological inventory of landslides in Valles Marineris, Mars
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We completed a systematic mapping of landslides in a 105 km2 area in Tithonium and Ius Chasmata, Valles Marineris, Mars, where landslides are abundant. Using visual interpretation of medium to high-resolution optical images, we mapped and classified the geometry of 219 mass wasting features, including rock slides, complex/compound failures, rock avalanches, debris flows, and rock glacier-like features, for a total landslide area of ALT=4.4×104 km2, 44%25 of the study area, a proportion larger than previously recognised. Studying the landslide inventory, we showed that the probability density of landslide area p(AL) follows a power law, with a scaling exponent α=-1.35±0.01, significantly different from the exponents found for terrestrial landslides, α=-2.2 and α=-2.4. This indicates that the proportion of large landslides (AL>107 m2) is larger on Mars than on Earth. We estimated the volume (VL) of a subset of 49 deep-seated slides in our study area and found that the probability density of landslide volume p(VL) obeys a power law trend typical of terrestrial rock falls and rock slides, with a slope β=-1.03±0.01. From the combined analysis of landslide area and volume measurements, we obtained a power law dependency comparable to a similar relationship obtained for terrestrial bedrock landslides, VL=(1.2±0.8)×AL(1.25±0.03). From the fall height HL and run out length LL of a subset of 83 slides unaffected by topographic confinement, we obtained the mobility index (Heim's ratio) HL/LL, a measure of the apparent friction angle of the failed materials, ϕ=14.4°±0.4°. Slope stability simulations and back analyses performed adopting a Limit Equilibrium Method, and using Monte Carlo approaches on failed and stable slopes, suggest that the large landslides in Valles Marineris were seismically induced. © 2014 Elsevier B.V.
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Landslide classification; Landslide mapping; Landslide mobility; Landslide size; Mars; Slope stability Geometrical optics; Induced Seismicity; Mapping; Monte Carlo methods; Rock bursts; Rocks; Slope protection; Slope stability; High-resolution optical images; Landslide inventories; Landslide mapping; Landslide mobility; Limit equilibrium methods; Mars; Probability densities; Visual interpretation; Landslides; classification; data interpretation; debris flow; geomorphological response; inventory; landslide; Mars; Monte Carlo analysis; planetary surface; power law; rock avalanche; slope failure; slope stability; visualization
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