A method of quantitative analysis based on deviation coefficient and sliding time window

• 1、The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China

Abstract：In order to scientifically and accurately describing the shape of deviation distribution curve of the short-level segment data of seismostation, this paper used deviation coefficient and sliding time window to analyze and summarize trends of deviation distribution curves of 2-3(k) segment of Chaoyang seismostation quantitatively before and after Chaoyang M4.6 and M4.3 earthquakes on May 22, 2016: general data anomalies caused by crustal deformation reveal the deviation coefficients get larger and the shapes of deviation distribution curves of the segment deviate from normal distribution before the earthquake, and the deviation coefficients get smaller and the shapes of deviation distribution curves of the segment restore to normal distribution after the earthquake. Then preliminary analysis of earthquake risk near the seismostation was made based on recent data. As a result, the figures prove that this quantitative analysis method has reference valuable for data anomalies recognition before earthquake to a certain extent, which also provides a new way of research for earthquake monitoring and prediction analyzing.

keywords： surveying and mapping deviations statistics deviation coefficient deviation distribution curve sliding time window quantitative analysis earthquake

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