Scaling behavior of earthquakes’ inter-events time series

• Authors: Shahriar Shadkhoo , Fakhteh Ghanbarnejad , Gholam Jafari , Mohammad Tabar
• Languages of publication: EN

Abstracts

EN

In this paper, we investigate the statistical and scaling properties of the California earthquakes’ inter-events over a period of the recent 40 years. To detect long-term correlations behavior, we apply detrended fluctuation analysis (DFA), which can systematically detect and overcome nonstationarities in the data set at all time scales. We calculate for various earthquakes with magnitudes larger than a given M. The results indicate that the Hurst exponent decreases with increasing M; characterized by a Hurst exponent, which is given by, H = 0:34 + 1:53/M, indicating that for events with very large magnitudes M, the Hurst exponent decreases to 0:50, which is for independent events.

Keywords

EN

stochastic processes; seismic data; scaling; DFA

Discipline

• 02.50.Ey: Stochastic processes
• 05.45.Tp: Time series analysis

• Publisher: De Gruyter Open
• Journal: Open Physics
• Year: 2009
• Volume: 7
• Issue: 3
• Pages: 620-623

Dates

published

1 - 9 - 2009

online

25 - 6 - 2009

Contributors

author

Shahriar Shadkhoo

• Department of Physics, Sharif University of Technology, P. O. Box 11365-9161, Tehran, Iran

author

Fakhteh Ghanbarnejad

• Department of Physics, Shahid Beheshti University, G.C., Evin, Tehran, 19839, Iran

author

Gholam Jafari

• Department of Physics, Sharif University of Technology, P. O. Box 11365-9161, Tehran, Iran

author

Mohammad Tabar

• Department of Physics, Sharif University of Technology, P. O. Box 11365-9161, Tehran, Iran

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Identifiers

DOI

10.2478/s11534-009-0058-0