Identification of correlations between meteorological parameters and seismic noise

Abstract

The paper analyses correlations between the microseismic background and atmospheric pressure variations in the territory of the Voronezh crystalline massif, which is a platform region. The purpose of the study was to develop a theoretical basis for the method of weather forecasting under conditions of limited meteorological information. The method is based on the registration of fluctuations in filtered microseismic noise — microseismic background. However, removing the interferences present in microseismic noise is problematic. The main problem in studying the microseismic background field in the platform territory is a high level of interference that exceeds the amplitudes of background oscillations by several times. This means that standard methods cannot completely eliminate the influence of interference on the useful signal. The use of “good” intervals for calculating the result makes it subjective, thus reducing its reliability, which limits the applicability of the background microseismic field as a tool for studying platform territories. In our study, the data was processed using the average spectrum method and the minimal amplitude point method. Also, in order to reduce the impact of anthropogenic factor on the microseismic noise, we selected the fluctuations recorded during the night. In our study, we analysed and compared the methods used and determined the most optimal approach for further analysis of the interaction between the microseismic background and variations in meteorological characteristics. The most optimal is the minimal amplitude point method. The study also revealed moderate and significant (according to the Chaddock scale) correlation between the considered parameters. We also noted that the degree of this correlations at different stations belonging to the same crystalline massif varied. As a rule, the most pronounced correlation between the microseismic background and atmospheric pressure was observed in the range of up to 3 Hz and in the range from 4-6 to 18-20 Hz.