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Scaling relation of earthquake seismic data
- Source :
- Physica A: Statistical Mechanics and its Applications. 492:2092-2102
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
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.
- Subjects :
- Statistics and Probability
Peak ground acceleration
Seismic microzonation
Statistical and Nonlinear Physics
Mitigation of seismic motion
Environmental Seismic Intensity scale
01 natural sciences
Physics::Geophysics
010305 fluids & plasmas
Earthquake scenario
Seismic hazard
Earthquake simulation
0103 physical sciences
Urban seismic risk
010306 general physics
Geology
Seismology
Subjects
Details
- ISSN :
- 03784371
- Volume :
- 492
- Database :
- OpenAIRE
- Journal :
- Physica A: Statistical Mechanics and its Applications
- Accession number :
- edsair.doi...........597bc334add0f27b141e44e3564de6f8