Scaling relation of earthquake seismic data

Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74836

Title:	Scaling relation of earthquake seismic data
Authors:	Liu, G Li, R He, J Li, W Lu, J Long, W Gao, P Cai, G Tang, M
Issue Date:	2018
Source:	Physica A. Statistical mechanics and its applications, 2018, v. 492, p. 2092-2102
Abstract:	We study the spatio-temporal characteristics of earthquakes, and find that power laws and allometric growth laws are both statistically significant in the seismic dataset. For further analyzing the complexity of earthquake sequence, an approach of weighted earthquake networks modeling is presented with using the seismic and rock mass datasets. The rock masses covering the entire region are used to divide the region into a lot of small areas. It is shown that the distributions of connectivities and link weights both follow power law decay forms. The discovery of allometric growth laws is important for studying the dynamics of massive earthquakes. The suggested earthquake network is helpful to study the interactions between rock masses and expand a research prototype for modeling seismicity on complex networks.
Keywords:	Scaling relation Seismic dataset Spatio-temporal complexity Weighted earthquake network
Publisher:	Elsevier
Journal:	Physica A. Statistical mechanics and its applications
ISSN:	0378-4371
EISSN:	1873-2119
DOI:	10.1016/j.physa.2017.11.126
Appears in Collections:	Journal/Magazine Article

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