基于Pearson相关系数分析唐山台断层CO2浓度与地温相关性及其与地震的关系

In order to make deep analysis on relationship of the fault gas CO2, ground temperature, rainfall, and earthquakes, this paper used Pearson Correlation Coefficient to calculate correlation coefficients between CO2 concentration and ground temperature of the fault crossing Tangshan seismostation based on a 40-day sliding time window, and relationships between changes in correlation coefficients and earthquakes larger than magnitude 2.0 near the seismostation were also discussed combined with rainfall, through which the relevance of changing characteristics in (CO2 concentration-ground temperature) correlation coefficients of the fault at this seismostation and these earthquakes was finally analyzed and generalized from the perspective of statistics. The results show that on earthquake day of all statistical earthquakes: for the hanging wall of this fault crossing Tangshan seismostation, the percentage of continuous decrease feature is 41.0% among all counted changing characteristics in correlation coefficients between CO2 concentration and ground temperature, the percentage of periodic low value feature is 31.1%, and the percentage of continuous increase feature and periodic high value feature is a total of 27.9%; for the footwall of this fault crossing Tangshan seismostation, the percentage of continuous decrease feature is 25.0% among all counted changing characteristics in correlation coefficients between CO2 concentration and ground temperature, the percentage of periodic low value feature is 39.7%, and the percentage of continuous increase feature and periodic high value feature is 35.3% totaled. In general, this method can provide a reference for analyzing current fault activities in Tangshan area, which also provides a basis for earthquake tracking, analyzing and determination in the capital region of China to a certain extent.