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The control of topography on landslide size distribution is investigated by a topographic analysis using the virtual tiling method.
Yet, the potential effect of sample size on the statistics of landslide size has not been explicitly addressed.
This paper aims to quantitatively inspect the possible effect of sample size on exploiting landslide size distribution.
Nevertheless, even without these complications, limited sample size can also cast a shadow on the statistics of landslide size.
We observe a power-law scaling of topography with a roll-over for finer scales, which is comparable with that of landslide size distribution.
The control of material properties on landslide size and geometry is examined through deterministic and probabilistic 2D limit-equilibrium slope stability analyses.
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The analysis of non-cumulative size distribution of two landslide inventories in the Italian Alps confirms the existence of a power-law scaling with exponent of 2.56±0.02, and demonstrates that the roll-over is not due to under-sampling since it occurs at landslide sizes significantly larger than mapping resolution.
That's a landslide-size loss, when you consider that tenths of seconds are the usual margins of victory.
An underwater landslide the size of Paris may have triggered the worst of the tsunami that struck Japan on 11 March 2011, a new study claims.
Equation 3 is based on the assumption that the number of seismically triggered landslides NL is proportional to all five factors, augmented by a factor of 1000 estimated qualitatively through comparison with published landslide event size data.
This analysis should help predict more accurately landslide event sizes, both in terms of potential numbers and affected area.
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