Topography-based modeling of large rockfalls and application to hazard assessment

被引:20
作者
Hergarten, S. [1 ,2 ]
机构
[1] Karl Franzens Univ Graz, Inst Erdwissensch, AT-8010 Graz, Austria
[2] Graz Univ Technol, Inst Angew Geowissensch, Graz, Austria
基金
奥地利科学基金会;
关键词
SELF-ORGANIZED CRITICALITY; CELLULAR-AUTOMATON; DISTRIBUTIONS; LANDSLIDES;
D O I
10.1029/2012GL052090
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Rockfalls are among the most important natural hazards in mountainous regions. Similarly to earthquakes and wild-fires, their sizes follow a power-law distribution covering an enormous range of sizes. In this paper, the presumably first modeling approach that explains this power-law distribution quantitatively is presented. Applied to the European Alps, the Himalayas and the Rocky Mountains, the model suggests that a power-law exponent of 1.35 with respect to the detached volume is a universal property of rockfalls. Beyond reproducing and explaining existing statistical data, the model allows an estimate on size and frequency of the largest possible rockfalls in a region, which cannot be derived from available rockfall inventories so far. Citation: Hergarten, S. (2012), Topography-based modeling of large rockfalls and application to hazard assessment, Geophys. Res. Lett., 39, L13402, doi:10.1029/2012GL052090.
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页数:5
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