Please use this identifier to cite or link to this item:
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
Keywords: Scaling relation
Seismic dataset
Spatio-temporal complexity
Weighted earthquake network
Issue Date: 2018
Publisher: Elsevier B.V.
Source: Physica A. Statistical mechanics and its applications, 2018, v. 492, p. 2092-2102 How to cite?
Journal: Physica A. Statistical mechanics and its applications 
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.
ISSN: 0378-4371
EISSN: 1873-2119
DOI: 10.1016/j.physa.2017.11.126
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.