首页> 外文期刊>Geografiska Annaler, Series A. Physical Geography >A STATISTICAL FRAMEWORK FOR TREE-RING RECONSTRUCTION OF HIGH-MAGNITUDE MASS MOVEMENTS: CASE STUDY OF SNOW AVALANCHES IN EASTERN CANADA
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A STATISTICAL FRAMEWORK FOR TREE-RING RECONSTRUCTION OF HIGH-MAGNITUDE MASS MOVEMENTS: CASE STUDY OF SNOW AVALANCHES IN EASTERN CANADA

机译:高倍质量运动树环重建的统计框架:以加拿大东部雪崩为例

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This paper investigates the application of the peaks-over-threshold method in combination with fitting of the generalized Pareto distribution for estimating the frequency of high-magnitude geomorphic events, on the basis of tree-ring data. In particular, attention is focused on extreme value distribution of tree-ring responses and in the minimum threshold or index number required to assure the past occurrence of high-magnitude events. The objective is to set a threshold, adapted to the sample distribution, which will make the distinction between high-magnitude years and remaining years, where the response of sampled trees is too weak to be attributed to a high-magnitude geomorphic event. The statistical framework proposed is based on the statistics of extremes. Through the use of simple, strong and effective mathematics, this model should strengthen the position of dendrogeomorphology in the evaluation and management of natural hazards.
机译:本文研究了阈值峰值方法结合广义帕累托分布的拟合在树轮数据的基础上估算高震级地貌事件发生频率的应用。特别地,注意力集中在树轮响应的极值分布以及确保过去发生高强度事件所需的最小阈值或索引号上。目的是设置一个适合样本分布的阈值,该阈值将区分高强度年份和剩余年份,在该年份中,采样树木的响应太弱而不能归因于高强度地貌事件。提议的统计框架基于极端情况的统计。通过使用简单,强大和有效的数学,该模型应加强树突状地貌在自然灾害评估和管理中的地位。

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