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首页> 外文会议>第12届国际数学地质大会 >Statistical Analysis for Extracting Features on the Groundwater Level Dynamics
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Statistical Analysis for Extracting Features on the Groundwater Level Dynamics

机译：地下水位动态特征提取的统计分析

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This work presents statistical and geostatistical approaches to describe different features of the groundwater level dynamics. Principle component analysis was used to extract the most important to describe groundwater level components. These components appeared to present different features in correlation with the precipitation data, associated with different physical mechanisms.Estimation and modeling cross-correlation structures between principle components and precipitation allows to improve a geostatistical spatio-temporal groundwater level model.Independent components (sources) provide the other view on the principle components and the various description of the groundwater level dynamics. The independent components identify locations of possible sources causing all groundwater level dynamics. In the current work independent components were estimated basing on the Central limit theorem with a kurtosis as a measure of normal (Gaussian) distribution. Analysis of matrix of transformation to independent sources allows to describe connections between wells and nearby surface reservoirs.The current work is illustrated by analysis of the real data connected with radioactive storing facilities.
机译：这项工作提出了统计和地统计方法来描述地下水位动力学的不同特征。主成分分析用于提取最重要的描述地下水位的成分。这些成分似乎表现出与降水数据相关的不同特征，与不同的物理机制有关。 对主成分与降水之间的互相关结构进行估计和建模可以改善地统计时空地下水位模型。 独立的组件（源）提供了关于主要组件和地下水位动力学的各种描述的另一种观点。独立的组件确定了引起所有地下水位动态的可能水源的位置。在当前的工作中，根据中心极限定理估计了独立成分，其中峰度作为正态（高斯）分布的量度。对转换为独立来源的矩阵的分析可以描述井与附近地表油藏之间的联系。 通过分析与放射性存储设施有关的真实数据来说明当前的工作。

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