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EARTHQUAKE ›› 2020, Vol. 40 ›› Issue (2): 100-116.doi: 10.12196/j.issn.1000-3274.2020.02.008

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Analysis on Anomalous Characteristics and Earthquake Prediction Efficiency of High-frequency Information from Digital Water Level and Water Temperature before 2013 Lushan M7.0 Earthquake in the North-South Seismic Belt of China

WANG Xi-long, JIA Xiao-dong, QIAN Rui, FU Cong   

  1. Liaoning Earthquake Agency, Shenyang 110034, China
  • Received:2019-03-07 Online:2020-04-30 Published:2020-04-24

Abstract: Compared with low frequency observation data, there is a great deal of tectonic information in high frequency observational data, creating favorable conditions for us to catch the precursor information in earthquake inoculation and seismic trending research. Using the probability density distribution method, we analyze the observed fluid data of water level and water temperature in the area of the north-south seismic zone before the Lushan MS7.0 earthquake on 20 April, 2013. The analysis results show that 14 water temperature and 5 water level data had the high frequency anomalies before the MS7.0 earthquake, and the points of abnormal information were concentrated in the tectonic belts in the southern of the Sichuan. The high-frequency anomalies were migrated to the epicenter and the variation range were decreased gradually over time. Using Molchan Error Dagram Method to analyze the relationship between high frequency information and earthquakes nearby, it shows that the forecast efficiency of the high frequency information have a good test result. Based on the analysis of tectonic evolution, anomalous development of earthquake precursor and strain rates near the earthquake epicenter, found that the spatial and temporal distribution characteristics of these abnormal information had a well consistency with the crustal deformation of the North-South seismic belt. Proved that the PDD (probability density distribution) not only can effectively reflect the regional tectonic stress field, but also verified the research of the formation mechanism.

Key words: Water level, Water temperature, High frequency information, Earthquake prediction efficiency, the 2013 Lushan MS7.0 earthquake

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