Κ-generalised Gutenberg–Richter law and the self-similarity of earthquakes. (February 2021)
- Record Type:
- Journal Article
- Title:
- Κ-generalised Gutenberg–Richter law and the self-similarity of earthquakes. (February 2021)
- Main Title:
- Κ-generalised Gutenberg–Richter law and the self-similarity of earthquakes
- Authors:
- da Silva, Sérgio Luiz E.F.
- Abstract:
- Highlights: Generalised Gutenberg–Richter law appropriately describes the earthquakes in a wide range of magnitudes. Self-organised criticality of earthquakes and the fractal nature of the geological faults are introduced in the context of Kaniadakis statistics. The entropic index is a universal parameter in the analysis of more than 150, 000 earthquakes. The earthquakes are well described by the same physics, for all scales of magnitude. Abstract: The earthquakes statistical analysis are essential for understanding the seismic activity of a region and consequently, in seismic hazard studies. Nowadays, the statistics that describe the relationship between the earthquake magnitude and the total number of quakes in a given region has been dominated by the Gutenberg–Richter (GR) power-law. However, the GR law is only valid from a threshold magnitude (local scale invariance). To mitigate this limitation, we introduce in this work a statistical mechanics approach to appropriately describe the earthquakes in a wide range of magnitudes. In this way, we formulate a generalisation of the GR law based on a κ -probability function, which is a distribution linked to Kaniadakis statistics (or κ -statistics). We have tested the viability of our proposal using real data sets recorded in 6 different regions of the Earth by considering more than 150, 000 earthquakes. The results show that the κ -generalised GR law describes appropriately enough the energy distribution in an ample range ofHighlights: Generalised Gutenberg–Richter law appropriately describes the earthquakes in a wide range of magnitudes. Self-organised criticality of earthquakes and the fractal nature of the geological faults are introduced in the context of Kaniadakis statistics. The entropic index is a universal parameter in the analysis of more than 150, 000 earthquakes. The earthquakes are well described by the same physics, for all scales of magnitude. Abstract: The earthquakes statistical analysis are essential for understanding the seismic activity of a region and consequently, in seismic hazard studies. Nowadays, the statistics that describe the relationship between the earthquake magnitude and the total number of quakes in a given region has been dominated by the Gutenberg–Richter (GR) power-law. However, the GR law is only valid from a threshold magnitude (local scale invariance). To mitigate this limitation, we introduce in this work a statistical mechanics approach to appropriately describe the earthquakes in a wide range of magnitudes. In this way, we formulate a generalisation of the GR law based on a κ -probability function, which is a distribution linked to Kaniadakis statistics (or κ -statistics). We have tested the viability of our proposal using real data sets recorded in 6 different regions of the Earth by considering more than 150, 000 earthquakes. The results show that the κ -generalised GR law describes appropriately enough the energy distribution in an ample range of magnitudes, especially for low magnitude earthquakes where the standard GR law fails. Besides, the entropic index of the Kaniadakis entropy is a universal parameter with a value close to 1. Furthermore, the results reveal the fractal nature of the fragments filling the space between tectonic plates. They also show the self-similarity of earthquakes regardless of their magnitude. … (more)
- Is Part Of:
- Chaos, solitons and fractals. Volume 143(2021)
- Journal:
- Chaos, solitons and fractals
- Issue:
- Volume 143(2021)
- Issue Display:
- Volume 143, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 143
- Issue:
- 2021
- Issue Sort Value:
- 2021-0143-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02
- Subjects:
- Self-similarity -- Kaniadakis statistics -- Earthquakes -- Fractal distribution -- Scale invariance
Chaotic behavior in systems -- Periodicals
Solitons -- Periodicals
Fractals -- Periodicals
Chaotic behavior in systems
Fractals
Solitons
Periodicals
003.7 - Journal URLs:
- http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science/journal/09600779 ↗ - DOI:
- 10.1016/j.chaos.2020.110622 ↗
- Languages:
- English
- ISSNs:
- 0960-0779
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3129.716000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23001.xml