Articles | Volume 20, issue 5
https://doi.org/10.5194/nhess-20-1485-2020
https://doi.org/10.5194/nhess-20-1485-2020
Research article
 | 
27 May 2020
Research article |  | 27 May 2020

The spatial–temporal total friction coefficient of the fault viewed from the perspective of seismo-electromagnetic theory

Patricio Venegas-Aravena, Enrique G. Cordaro, and David Laroze

Related authors

Long-term magnetic anomalies and their possible relationship to the latest greater Chilean earthquakes in the context of the seismo-electromagnetic theory
Enrique Guillermo Cordaro, Patricio Venegas-Aravena, and David Laroze
Nat. Hazards Earth Syst. Sci., 21, 1785–1806, https://doi.org/10.5194/nhess-21-1785-2021,https://doi.org/10.5194/nhess-21-1785-2021, 2021
Short summary
A review and upgrade of the lithospheric dynamics in context of the seismo-electromagnetic theory
Patricio Venegas-Aravena, Enrique G. Cordaro, and David Laroze
Nat. Hazards Earth Syst. Sci., 19, 1639–1651, https://doi.org/10.5194/nhess-19-1639-2019,https://doi.org/10.5194/nhess-19-1639-2019, 2019
Short summary
Analysis of geomagnetic measurements prior the Maule (2010), Iquique (2014) and Illapel (2015) earthquakes, in the Pacific Ocean sector of the Southern Hemisphere
Enrique G. Cordaro, Patricio Venegas-Aravena, and David Laroze
Ann. Geophys. Discuss., https://doi.org/10.5194/angeo-2019-9,https://doi.org/10.5194/angeo-2019-9, 2019
Manuscript not accepted for further review
Short summary
Latitudinal variation rate of geomagnetic cutoff rigidity in the active Chilean convergent margin
Enrique G. Cordaro, Patricio Venegas, and David Laroze
Ann. Geophys., 36, 275–285, https://doi.org/10.5194/angeo-36-275-2018,https://doi.org/10.5194/angeo-36-275-2018, 2018
Short summary

Related subject area

Earthquake Hazards
Development of a seismic loss prediction model for residential buildings using machine learning – Ōtautahi / Christchurch, New Zealand
Samuel Roeslin, Quincy Ma, Pavan Chigullapally, Joerg Wicker, and Liam Wotherspoon
Nat. Hazards Earth Syst. Sci., 23, 1207–1226, https://doi.org/10.5194/nhess-23-1207-2023,https://doi.org/10.5194/nhess-23-1207-2023, 2023
Short summary
A non-extensive approach to probabilistic seismic hazard analysis
Sasan Motaghed, Mozhgan Khazaee, Nasrollah Eftekhari, and Mohammad Mohammadi
Nat. Hazards Earth Syst. Sci., 23, 1117–1124, https://doi.org/10.5194/nhess-23-1117-2023,https://doi.org/10.5194/nhess-23-1117-2023, 2023
Short summary
Inferring the depth and magnitude of pre-instrumental earthquakes from intensity attenuation curves
Paola Sbarra, Pierfrancesco Burrato, Valerio De Rubeis, Patrizia Tosi, Gianluca Valensise, Roberto Vallone, and Paola Vannoli
Nat. Hazards Earth Syst. Sci., 23, 1007–1028, https://doi.org/10.5194/nhess-23-1007-2023,https://doi.org/10.5194/nhess-23-1007-2023, 2023
Short summary
Tsunami scenario triggered by a submarine landslide offshore of northern Sumatra Island and its hazard assessment
Haekal A. Haridhi, Bor Shouh Huang, Kuo Liang Wen, Arif Mirza, Syamsul Rizal, Syahrul Purnawan, Ilham Fajri, Frauke Klingelhoefer, Char Shine Liu, Chao Shing Lee, Crispen R. Wilson, Tso-Ren Wu, Ichsan Setiawan, and Van Bang Phung
Nat. Hazards Earth Syst. Sci., 23, 507–523, https://doi.org/10.5194/nhess-23-507-2023,https://doi.org/10.5194/nhess-23-507-2023, 2023
Short summary
Scrutinizing and rooting the multiple anomalies of Nepal earthquake sequence in 2015 with the deviation–time–space criterion and homologous lithosphere–coversphere–atmosphere–ionosphere coupling physics
Lixin Wu, Yuan Qi, Wenfei Mao, Jingchen Lu, Yifan Ding, Boqi Peng, and Busheng Xie
Nat. Hazards Earth Syst. Sci., 23, 231–249, https://doi.org/10.5194/nhess-23-231-2023,https://doi.org/10.5194/nhess-23-231-2023, 2023
Short summary

Cited articles

Aki, K.: Generation and propagation of G waves from the Niigata earthquake of June 14, 1964. Part 2. Estimation of earthquake moment, released energy and stress-strain drop from G wave spectrum, B. Earthq. Res. I., 44, 73–88, 1966. 
Anastasiadis, C., Triantis, D., Stavrakas, I. and Vallianatos, F.: Pressure Stimulated Currents (PSC) in marble samples, Ann. Geophys., 47, 21–28, 2004. 
Baltay, A., Ide, S., Prieto, G., and Beroza, G.: Variability in earthquake stress drop and apparent stress, Geophys. Res. Lett., 38, L06303, https://doi.org/10.1029/2011GL046698, 2011. 
Brune, J. N.: Tectonic stress and the spectra of seismic shear waves from earthquakes, J. Geophys. Res., 75, 4997–5009, https://doi.org/10.1029/JB075i026p04997, 1970. 
Byerlee, J. D.: Friction of Rocks, Pure Appl. Geophys., 116, 615–626, https://doi.org/10.1007/BF00876528, 1978. 
Download
Short summary
Over the past few years, a number of data have emerged on predicting large earthquakes using the magnetic field. These measurements are becoming strongly supported by rock electrification mechanisms experimentally and theoretically in seismo-electromagnetic theory. However, the processes that occur within the faults have yet to be elucidated. That is why this work theoretically links the friction changes of the faults with the lithospheric magnetic anomalies that surround the faults.
Altmetrics
Final-revised paper
Preprint