scholarly journals Stochastic Generator of Earthquakes for Mainland France

2022 ◽  
Vol 12 (2) ◽  
pp. 571
Author(s):  
Corentin Gouache ◽  
Pierre Tinard ◽  
François Bonneau

Mainland France is characterized by low-to-moderate seismic activity, yet it is known that major earthquakes could strike this territory (e.g., Liguria in 1887 or Basel in 1356). Assessing this French seismic hazard is thus necessary in order to support building codes and to lead prevention actions towards the population. The Probabilistic Seismic Hazard Assessment (PSHA) is the classical approach used to estimate the seismic hazard. One way to apply PSHA is to generate synthetic earthquakes by propagating information from past seismicity and building various seismic scenarios. In this paper, we present an implementation of a stochastic generator of earthquakes and discuss its relevance to mimic the seismicity of low-to-moderate seismic areas. The proposed stochastic generator produces independent events (main shocks) and their correlated seismicity (only aftershocks). Main shocks are simulated first in time and magnitude considering all available data in the area, and then localized in space with the use of a probability map and regionalization. Aftershocks are simulated around main shocks by considering both the seismic moment ratio and distribution of the aftershock’s proportion. The generator is tested with mainland France data.

2021 ◽  
Vol 14 (9) ◽  
Author(s):  
Etoundi Delair Dieudonné Ndibi ◽  
Eddy Ferdinand Mbossi ◽  
Nguet Pauline Wokwenmendam ◽  
Bekoa Ateba ◽  
Théophile Ndougsa-Mbarga

2014 ◽  
Vol 85 (6) ◽  
pp. 1316-1327 ◽  
Author(s):  
C. Beauval ◽  
H. Yepes ◽  
L. Audin ◽  
A. Alvarado ◽  
J.-M. Nocquet ◽  
...  

2018 ◽  
Vol 176 (4) ◽  
pp. 1503-1530 ◽  
Author(s):  
Yousuf Al-shijbi ◽  
I. El-Hussain ◽  
A. Deif ◽  
Abdulrahman Al-Kalbani ◽  
Adel M. E. Mohamed

2016 ◽  
Vol 441 (1) ◽  
pp. 133-152 ◽  
Author(s):  
A. Cipta ◽  
R. Robiana ◽  
J. D. Griffin ◽  
N. Horspool ◽  
S. Hidayati ◽  
...  

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