Earthquake location methods

Date

2020-04-06

Author

Karasozen, Ezgi
Karasözen, Bülent

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Earthquake location is a well-defined inverse problem to which the mathematical fundamentals of existing methodologies were established nearly a century ago. However, in quantitative seismology, achieving accurate, bias-free earthquake locations still remains to be the one of most important and challenging tasks. In this article, we give an overview on various earthquake location methods, that vary from linearized to nonlinear, from grid search to probabilistic algorithms. We review single and multiple-event location techniques, along with computational complexities of each algorithm. An example from a real-world earthquake location problem is given to highlight the importance of data availability in achieving bias-free earthquake locations. We discuss earthquake location accuracy, and uncertainty estimation that originate from measurement and modelling errors. We end with a list that summarizes publicly available earthquake location software packages. We conclude with an outlook for future directions towards data driven machine learning techniques in earthquake location research.

Subject Keywords

Inverse problems, Computational seismology, Error estimation, Probabilistic methods, Earthquake location, Multiple-event

URI

https://hdl.handle.net/11511/30412

Journal

GEM-INTERNATIONAL JOURNAL ON GEOMATHEMATICS

DOI

https://doi.org/10.1007/s13137-020-00149-9

Collections

Graduate School of Applied Mathematics, Article

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Citation Formats

E. Karasozen and B. Karasözen, “Earthquake location methods,” GEM-INTERNATIONAL JOURNAL ON GEOMATHEMATICS, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30412.