Rethinking Seismic Source Model of Probabilistic Hazard Assessment in Taiwan after the 2018 Hualien, Taiwan, Earthquake Sequence

2018 ◽  
Vol 90 (1) ◽  
pp. 88-96 ◽  
Author(s):  
Chung‐Han Chan ◽  
Kuo‐Fong Ma ◽  
Ya‐Ting Lee ◽  
Yu‐Ju Wang
Keyword(s):  
Hazard Assessment ◽  
Seismic Source ◽  
Source Model ◽  
Earthquake Sequence ◽  
Probabilistic Hazard Assessment ◽  
Seismic Source Model ◽  
Taiwan Earthquake

Western Mexico seismic source model for the seismic hazard assessment of the Jalisco-Colima-Michoacán region

2020 ◽  
Author(s):  
Rashad Sawires ◽  
Miguel A. Santoyo ◽  
José A. Peláez ◽  
Jesús Henares
Keyword(s):  
Seismic Hazard ◽  
Hazard Assessment ◽  
Seismic Hazard Assessment ◽  
Seismic Source ◽  
Source Model ◽  
Western Mexico ◽  
Seismic Source Model

Seismic source model for moving vehicles

2005 ◽  
Vol 43 (2) ◽  
pp. 248-256 ◽  
Author(s):  
S.A. Ketcham ◽  
M.L. Moran ◽  
J. Lacombe ◽  
R.J. Greenfield ◽  
T.S. Anderson
Keyword(s):  
Seismic Source ◽  
Source Model ◽  
Moving Vehicles ◽  
Seismic Source Model

On the Nature of Logic Trees in Probabilistic Seismic Hazard Assessment

2012 ◽  
Vol 28 (3) ◽  
pp. 1291-1296 ◽  
Author(s):  
Roger Musson
Keyword(s):  
Seismic Hazard Assessment ◽  
Seismic Source ◽  
Source Model ◽  
Probabilistic Seismic Hazard Assessment ◽  
Motion Model ◽  
Logic Tree ◽  
Ground Motion Model ◽  
Seismic Source Model ◽  
Kolmogorov Axioms ◽  
Better Than

An objection sometimes made against treating the weights of logic tree branches as probabilities relates to the Kolmogorov axioms, but these are only an obstacle if one believes that logic tree branches represent a seismic source model or ground motion model as being “true.” Models are never true, but some models are better than others. It is argued here that a logic tree weight represents the probability that the model in question is better than the others considered. Only one branch can be the best one, and one branch must be the best one. It is also argued that there are situations in PSHA where uncertainty exists but the analyst lacks the means to express it. Therefore it is not necessarily the case that more information increases uncertainty; it may be that more information increases the possibility of expressing uncertainty that was previously unmanageable.

Developing a seismic source model for the Arabian Plate

2018 ◽  
Vol 11 (15) ◽  
Author(s):  
I. El-Hussain ◽  
Y. Al-Shijbi ◽  
A. Deif ◽  
A. M. E. Mohamed ◽  
M. Ezzelarab
Keyword(s):  
Seismic Source ◽  
Source Model ◽  
Arabian Plate ◽  
Seismic Source Model

scholarly journals Model for Calculating Seismic Wave Spectrum Excited by Explosive Source

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Qian Xu ◽  
Zhong-Qi Wang
Keyword(s):  
Seismic Wave ◽  
Seismic Waves ◽  
Wave Spectrum ◽  
Seismic Source ◽  
Source Model ◽  
Detonation Pressure ◽  
Adiabatic Expansion ◽  
Main Frequency ◽  
Explosive Source ◽  
Seismic Source Model

To reveal the characteristics and laws of the seismic wavefield amplitude-frequency excited by explosive source, the method for computing the seismic wave spectrum excited by explosive was studied in this paper. The model for calculating the seismic wave spectrum excited by explosive source was acquired by taking the seismic source model of spherical cavity as the basis. The results of using this model show that the main frequency and the bandwidth of the seismic waves caused by the explosion are influenced by the initial detonation pressure, the adiabatic expansion of the explosive, and the geotechnical parameters, which increase with the reduction of initial detonation pressure and the increase of the adiabatic expansion. The main frequency and the bandwidth of the seismic waves formed by the detonation of the explosives in the silt clay increase by 23.2% and 13.6% compared to those exploded in the silt. The research shows that the theoretical model built up in this study can describe the characteristics of the seismic wave spectrum excited by explosive in a comparatively accurate way.

scholarly journals Integrated seismic source model of the 2015 Gorkha, Nepal, earthquake

2015 ◽  
Vol 42 (15) ◽  
pp. 6229-6235 ◽  
Author(s):  
Yuji Yagi ◽  
Ryo Okuwaki
Keyword(s):  
Seismic Source ◽  
Source Model ◽  
Nepal Earthquake ◽  
Seismic Source Model ◽  
2015 Gorkha Nepal Earthquake

Tsunami Simulation Using Vertical Displacement Calculated from Simulation of Ground Motion due to Seismic Source Model

2012 ◽  
Vol 12 ◽  
pp. 4_308-4_318
Author(s):  
Shinichi AKIYAMA ◽  
Kaoru KAWAJI ◽  
Mariko KORENAGA ◽  
Satoru FUJIHARA ◽  
Takahiro TAMIYA
Keyword(s):  
Ground Motion ◽  
Seismic Source ◽  
Vertical Displacement ◽  
Source Model ◽  
Tsunami Simulation ◽  
Seismic Source Model
Sign in / Sign up

Export Citation Format

Share Document