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Comparison of geostatistical approaches dealing with the distribution of snow

机译:处理积雪分布的地统计学方法比较

摘要

This paper deals with a stochastic simulation. Snow cover, representing a regionalized variable, was studied and used as an input parameter for a stochastic simulation. The first step included basic statistical analysis of individual parameters of snow, e.g. snow height. In the next step, an analysis of relationships between the snow and the geomorphological parameters (altitude, slope and aspect) was conducted. The most current methods of spatial interpolation and multifactor evaluation are based on weighted regression relationships. Primarily, the use of conditional stochastic simulation was tested in a variety of software. The main aim of this investigation is to compare selected interpolation methods with stochastic simulation, based on the development of the values and on the evaluation of the incidence of extreme events. The study shall provide users with recommendations for selecting the optimal interpolation method and its application to real data.
机译:本文涉及随机模拟。研究了代表区域化变量的积雪并将其用作随机模拟的输入参数。第一步包括对各个雪参数的基本统计分析,例如雪高。在下一步中,进行了雪与地貌参数(高度,坡度和坡向)之间的关系分析。空间插值和多因素评估的最新方法是基于加权回归关系的。最初,在各种软件中测试了条件随机模拟的使用。这项研究的主要目的是根据数值的发展和对极端事件发生率的评估,将选定的插值方法与随机模拟进行比较。该研究应向用户提供选择最佳插值方法的建议及其在实际数据中的应用。

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