ANALYSIS OF SEISMICITY CHANGES PRIOR TO THE 2014 YUNNAN JINGGU MS6.6 EARTHQUAKE

According to the Region-Time-Length (RTL) algorithm,the analysis of seismicity changes prior to the 2014 Yunnan Jinggu M_S6.6 earthquake was conducted by using the earthquake catalogues about 6 and 15 years before this earthquake,respectively.When the studied period was nearly 6 years,an enhancement of seismic activity was detected around the epicenter since the beginning of 2013.The anomalies mainly distributed in the region of 22.5°~24.5°N and 99°~102°E.The range and degree of anomalies changed from small to large,and then to small chronologically.As the surface integral in respect to RTL,the physical parameter I_RTL,which could reflect the regional seismicity level,began to increase since August 2013,and then reduced after reaching the peak point.The time length from the peak point of I_RTL curve to the earthquake occurrence was 9 months.When the analyzed catalogue was nearly 15 years,the 2007 Ninger M_S6.4 occurred in the studied region.Seismicity quiescence was detected prior to the Ninger M_S6.4.Before the Jinggu M_S6.6,seismicity quiescence was detected firstly,and then enhanced activity was observed 1 year prior to the earthquake occurrence.The anomalies mainly distributed in the region of 22.5°~24.5°N and 99°~102°E.The time length from the peak point of I_RTL curve to the earthquake occurrence was 7 months.The above study showed that even the earthquakes location was near and the magnitude was close to each other,a big difference in seismic activity before the earthquakes may exist.Before the Jinggu M_S6.6,there was some difference in seismicity changes according to different beginning time of catalogues,but the distribution of anomalies and the time length from the peak point of I_RTL to the earthquake occurrence were uniform.So there was an important significance for exploring the relationship between the distribution of anomalies and the earthquake location,and the relationship between the time of the peak point of I_RTL and the earthquake occurrence time.