Using spatial and spatial-extreme statistics to characterize snow avalanche cycles

被引：9

作者：

Eckert, Nicolas ^{[1
]}

Gaume, Johan ^{[1
]}

Castebrunet, Helene ^{[1
]}

机构：

[1] Irstea, UR ETGR, F-38402 St Martin Dheres, France

来源：

SPATIAL STATISTICS 2011: MAPPING GLOBAL CHANGE | 2011年 / 7卷

关键词：

Snow avalanche cycle; snowfall; spatial regression; max-stable process; return period; MAX-STABLE PROCESSES; INFERENCE; VALUES;

D O I：

10.1016/j.proenv.2011.07.039

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In December 2008, an intense avalanche cycle occurred in the eastern part of the southern French Alps. Using this case study, this paper illustrates how spatial statistics can be used to analyse such abnormal temporal clusters of snow avalanches. Spatial regression methods are used to quantify aggregation and gradients and highlight the three day snowfall as the main explanatory factor. A max-stable model is developed to evaluate the snowfall return period, so as to compare the studied cycle with previous ones and with empirical return periods for avalanche counts. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Spatial Statistics 2011

引用

页码：224 / 229

页数：6

共 14 条

[1]

[Anonymous], 1976, Suri-Kagaku (Mathematical Sciences)

[2] Avalanche extremes and atmospheric circulation patterns [J].