Zaliapin, Ilya and Gabrielov, Andrei and Keilis-Borok, Vladimir and Wong, Henry (2008) Clustering Analysis of Seismicity and Aftershock Identification. Physical Review Letters, 101 (1). DOI: https://doi.org/10.1103/PhysRevLett.101.018501
Full text not available from this repository.Abstract
We introduce a statistical methodology for clustering analysis of seismicity in the time-space-energy domain and use it to establish the existence of two statistically distinct populations of earthquakes: clustered and nonclustered. This result can be used, in particular, for nonparametric aftershock identification. The proposed approach expands the analysis of Baiesi and Paczuski [Phys. Rev. E 69, 066106 (2004)] based on the space-time-magnitude nearest-neighbor distance η between earthquakes. We show that for a homogeneous Poisson marked point field with exponential marks, the distance η has the Weibull distribution, which bridges our results with classical correlation analysis for point fields. The joint 2D distribution of spatial and temporal components of η is used to identify the clustered part of a point field. The proposed technique is applied to several seismicity models and to the observed seismicity of southern California.
| Item Type: | Article |
|---|---|
| Subjects: | Methodology > Method and procesing > Collective properties of seismicity > Clustering and migration |
| Project: | IS-EPOS project |