首页|An eikonal equation-based earthquake location method by inversion of multiple phase arrivals
An eikonal equation-based earthquake location method by inversion of multiple phase arrivals
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
万方数据
维普
The precise determination of earthquake location is the fundamental basis in seismological community,and is crucial for analyzing seismic activity and performing seismic tomography.First arrivals are generally used to practically determine earthquake locations.However,first-arrival traveltimes are not sensitive to focal depths.Moreover,they cannot accurately constrain focal depths.To improve the accuracy,researchers have analyzed the depth phases of earthquake locations.The traveltimes of depth phases are sensitive to focal depths,and the joint inversion of depth phases and direct phases can be implemented to potentially obtain accurate earthquake locations.Generally,researchers can determine earthquake locations in layered models.Because layered models can only represent the first-order feature of subsurface structures,the advantages of joint inversion are not fully explored if layered models are used.To resolve the issue of current joint inversions,we use the traveltimes of three seismic phases to determine earthquake locations in heterogeneous models.The three seismic phases used in this study are the first P-,sPg-and PmP-waves.We calculate the traveltimes of the three seismic phases by solving an eikonal equation with an upwind difference scheme and use the traveltimes to determine earthquake locations.To verify the accuracy of the earthquake location method by the inversion of three seismic phases,we take the 2021 Ms6.4 Yangbi,Yunnan earthquake as an example and locate this earthquake using synthetic and real seismic data.Numerical tests demonstrate that the eikonal equation-based earthquake location method,which involves the inversion of multiple phase arrivals,can effectively improve earthquake location accuracy.
Earthquake locationEikonal equationFast marching methodHeterogeneous model
Gaoyue LAO、Dinghui YANG、Shaolin LIU、Guiju DONG、Wenshuai WANG、Kui LIU
展开 >
National Institute of Natural Hazards,Ministry of Emergency Management of China,Beijing 100085,China
School of Earth Sciences,Yunnan University,Kunming 650091,China
Department of Mathematical Sciences,Tsinghua University,Beijing 100084,China
School of Mathematics and Statistics,Ningxia University,Yinchuan 750021,China
展开 >
National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaBeijing Natural Science FoundationNingxia Science and Technology Leading Talent Training Program
万方数据
维普
