摘要
采用正则化平滑因子方法,对重力台站连续观测资料进行处理和讨论,尝试分离同震信号。结果表明,该方法可以有效地分离并获取同震重力效应和地震波信号,且估算的同震重力效应与理论模拟有较好的一致性,可为快速反演地震参数及地震预警提供更多的约束条件。
The regularized smoothing factor method is adopted to process and analyze continuous gravity data and to attempt separate coseismic signals.The results show that this method can effectively separate and obtain the coseismic gravity change and seismic wave and that the estimated co-seismic gravity change has good consistency with the theoretical simulation results,providing more constraint conditions for fast inversion of seismic parameters and early warning.
作者
姚依欣
王勇
詹金刚
郭爱智
YAO Yixin;WANG Yong;ZHAN Jingang;GUO Aizhi(State Key Laboratory of Geodesy and Earth’s Dynamics,Institute of Geodesy and Geophysics,CAS,340 Xudong Street,Wuhan 430077,China;University of Chinese Academy of Sciences,A19 Yuquan Road,Beijing 100049,China;National Satellite Meteorological Center,46 South-Zhongguancun Street,Beijing 100081,China)
出处
《大地测量与地球动力学》
CSCD
北大核心
2020年第2期156-158,181,共4页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金(41874093)~~
关键词
连续重力观测
同震信号分离
同震重力效应
continuous gravity observation
separation of coseismic signals
coseismic gravity change
