Abstract

A comprehensive methodology has been developed for high-quality preparation of long-term monitoring data for their processing and analysis. It is shown that the application of this methodology is a necessary step in the processing of any long-term monitoring data in real conditions. The practical significance of the development is significantly enhanced by the fact that the algorithms of the methodology are implemented as a software product that is available for wide use. As an experimental basis, we used data of geoelectric monitoring by the VES method with the possibility of tracking variations in the electrical resistivity at different depths, as well as the results of operational downhole resistivity measurements, and electromagnetic, geoacoustic and inclinometric observations. Two models are proposed for describing seasonal variations in the electrical resistivity of rocks in a well in the bypass filtering zone of the Chirkey Hydropower Dam in Dagestan: a model of average seasonal functions, which assumes strict constancy of seasonal variability in different years, and an adaptive model that allows interannual changes in the amplitude of seasonal effects. Time series of data are constructed that have been filtered from seasonal changes. A comprehensive methodology for describing and filtering seasonal effects in monitoring data has also been successfully applied to analyze observational data by other geophysical methods, in particular, with inclinometric, geoacoustic, and electromagnetic monitoring in different Russian regions. It is concluded that to accurately assess seasonal variability, special data preparation is necessary that takes into account the features of the series.

中文翻译：

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描述和过滤监测数据中外生效应的综合方法，同时考虑到观察类型和实验数据缺陷

摘要

为高质量准备长期监测数据以进行处理和分析，已经开发了一种综合方法。结果表明，该方法的应用是在实际条件下处理任何长期监测数据的必要步骤。该方法的算法被实现为可广泛使用的软件产品，这一事实大大提高了开发的实际意义。作为实验基础，我们使用通过VES方法进行的地电监测数据，可以跟踪不同深度的电阻率变化，以及井下电阻率测量结果以及电磁，地声和倾斜测量的结果。提出了两个模型来描述达吉斯坦奇尔基水电站大坝旁路过滤区中一口井的岩石电阻率的季节性变化：一个平均季节函数模型，该模型假定不同年份的季节变化具有严格的恒定性，自适应模型，该模型允许季节变化幅度的年际变化。构建了已从季节性变化中滤除的时间序列数据。用于描述和过滤监测数据中的季节性影响的综合方法也已成功地用于通过其他地球物理方法来分析观测数据，尤其是在俄罗斯不同地区进行了倾斜测量，地声和电磁监测。结论是，要准确评估季节性变化，