Spatio-temporal network modelling and analysis of global strong earthquakes (Mw ≥ 6.0)-Reference-Cited by-同舟云学术

Spatio-temporal network modelling and analysis of global strong earthquakes (Mw ≥ 6.0)

Published:2020-06-02 Issue:5 Volume:177 Page:883-892
ISSN:0016-7649
Container-title:Journal of the Geological Society
language:en
Short-container-title:Journal of the Geological Society

Author:

Liu Gang¹²^ORCID,Fan Qinjin³,Li Weile¹^ORCID,Scaringi Gianvito⁴^ORCID,Long Yujie²,He Jing²,Li Zheng⁵

Affiliation:

1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China

2. College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China

3. Department of Geography, University of Georgia, Athens, GA 30602, USA

4. Institute of Hydrogeology, Engineering Geology and Applied Geophysics, Faculty of Science, Charles University, Prague 128 43, Czech Republic

5. Sichuan Provincial Land and Space Planning Research Institute, Chengdu 610084, China

Abstract

We employ a spatio-temporal network modelling approach to identify possible relations between strong earthquakes and spatial regions worldwide. A global strong earthquake dataset containing 7736 events (Mw ≥ 6.0) from 1964 to 2018 is used. Statistical results identify power-law relationships and heavy tail phenomena in the spatial patterns of strong earthquakes. The interactions between regions follow the same law, with a few regions that may be hit by successive strong earthquakes with high probability. Also, we find that the interconnections between regions are mainly related to the succession of events in time, whereas the distribution of events is extremely inhomogeneous in space. This study provides a research prototype for the spatio-temporal analysis of global strong earthquakes, laying a foundation for obtaining insights into the network modelling approach for global strong earthquakes.

Funder

Young and Middle-aged Key Teachers Project of Chengdu University of Technology

National Key Research and Development Program of China

National Natural Science Foundation of China

State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project

China Scholarship Council

Publisher

Geological Society of London

Subject

Geology

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