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Spatio-temporal modelling for avalanche risk assessment in the North of Italy

机译:意大利北部雪崩风险评估的时空建模

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摘要

The main objective of this work is to evaluate the avalanche activity in a given location and at a given time taking into account a number of variables including the stratigraphy of snow cover, temperature, direction and wind speed, altititude, etc. To this end we propose a space-time point model where the intensity function indicates the limiting expected rate of occurrence of snow avalanches of a given size occurring on a certain day at location (x,y), conditioned on the historical information available prior to time t. Some meteorological and environmental data may be considered as the covariates of the model. To show the ability of the model in assessing the risk avalanche, data from digitalized Avalanche Database of the Trentino Region (North of Italy) is considered. Since not all locations in the Alpine zone are equally likely subject to snow avalanche, the model will be flexible enough for including a spatially-varying background rate of avalanche which may be estimate by kernel smoothing the observed avalanches .
机译:这项工作的主要目的是评估给定位置和给定时间的雪崩活动,其中要考虑许多变量,包括积雪的地层,温度,方向和风速,高度等。为此,我们提出了一个时空点模型,其中强度函数根据时间t之前可用的历史信息,指示某天在位置(x,y)上发生的给定大小雪崩的极限预期发生率。一些气象和环境数据可能被认为是该模型的协变量。为了显示该模型评估雪崩风险的能力,考虑了特伦蒂诺州(意大利北部)的数字化雪崩数据库中的数据。由于并非高山带中的所有位置都同样可能遭受雪崩,因此该模型将具有足够的灵活性,可以包括空间变化的雪崩本底率,可以通过对内核平滑所观察到的雪崩进行估算。

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