The Statistical Relationship between the Maximum Amplitude of the Body Strain Record and the Surface-wave Magnitude and Epicenter Distance

作     者：Jiang Jianing Wu Lijun 

作者机构：Zhangjiakou Central StationEarthquake Administration of Hebei Province Institute of Earthquake ScienceChina Earthquake Administration 

出 版 物：《Earthquake Research in China》 (中国地震研究（英文版）)

年 卷 期：2017年第31卷第1期

页      面：107-115页

核心收录：

学科分类：070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学] 

基　　金：founded by the Combined Project of Monitoring,Prediction and Research of China Earthquake Administration entitled "Statistical Study on the Earthquake Cases of Imminent Anomaly in Sacks Volume Strain Measurements (154201)" the Operation Maintenance of Shisanling Seismic Station,Institute of Earthquake Science,CEA(40417600105) 

主　　题：Body strain Seismic wave Statistical analysis High sampling rate Earthquake monitoring Earthquake prediction 

摘      要：Based on the body strain record of Tiantanghe station from 2008 to 2014,we make a statistical analysis of the relationship between the maximum amplitude of the body strain record and the surface-wave magnitude,epicenter distance of the earthquakes,which occurred in the Chinese mainland and its surrounding areas with MS≥6. 0 and the rest of the world with MS≥7. 0. According to statistical results,we propose a statistical formula between the surface-wave magnitude of earthquake and the maximum amplitude of the body strain record,the epicenter distance: M_S~*= 0. 37 ln A_max+ 0. 57 ln D + 0. 07. We can also derive a theoretical estimation formula for the maximum amplitude: A_max=e^(2. 7(M_S^*-0. 07))D^(-1. 54). This demonstrates that the maximum amplitude of the body strain record increases exponentially with the increase of the surface-wave magnitude, and decreases with the increase of the epicenter distance,and shows a negative correlation with their product. We further discuss the necessity of adding instruments with high frequency sampling to earthquake monitoring, and dicuss the prospects for precise earthquake prediction in future.