Earthquake source-parameter estimation using regional waveforms: Implications for tsunami alerting in the Caribbean

2005 ◽  
Vol 32 (24) ◽  
Author(s):  
C. Mendoza
Keyword(s):  
Parameter Estimation ◽  
Earthquake Source ◽  
Source Parameter ◽  
The Caribbean

scholarly journals Parallel Dislocation Model Implementation for Earthquake Source Parameter Estimation on Multi-Threaded GPU

2021 ◽  
Vol 11 (20) ◽  
pp. 9434
Author(s):  
Seongjae Lee ◽  
Taehyoun Kim
Keyword(s):  
Monte Carlo ◽  
Parameter Estimation ◽  
Monte Carlo Method ◽  
Nonlinear Optimization ◽  
Graphics Processing Units ◽  
Line Search ◽  
Earthquake Source ◽  
Source Parameter ◽  
Dislocation Model ◽  
Earthquake Source Parameters

Graphics processing units (GPUs) have been in the spotlight in various fields because they can process a massive amount of computation at a relatively low price. This research proposes a performance acceleration framework applied to Monte Carlo method-based earthquake source parameter estimation using multi-threaded compute unified device architecture (CUDA) GPU. The Monte Carlo method takes an exhaustive computational burden because iterative nonlinear optimization is performed more than 1000 times. To alleviate this problem, we parallelize the rectangular dislocation model, i.e., the Okada model, since the model consists of independent point-wise computations and takes up most of the time in the nonlinear optimization. Adjusting the degree of common subexpression elimination, thread block size, and constant caching, we obtained the best CUDA optimization configuration that achieves 134.94×, 14.00×, and 2.99× speedups over sequential CPU, 16-threads CPU, and baseline CUDA GPU implementation from the 1000×1000 mesh size, respectively. Then, we evaluated the performance and correctness of four different line search algorithms for the limited memory Broyden–Fletcher–Goldfarb–Shanno with boundaries (L-BFGS-B) optimization in the real earthquake dataset. The results demonstrated Armijo line search to be the most efficient one among the algorithms. The visualization results with the best-fit parameters finally derived by the proposed framework confirm that our framework also approximates the earthquake source parameters with an excellent agreement with the geodetic data, i.e., at most 0.5 cm root-mean-square-error (RMSE) of residual displacement.

EARTHQUAKE SOURCE PARAMETER AND FOCAL MECHANISM ESTIMATES FOR THE WESTERN QUEBEC SEISMIC ZONE IN EASTERN CANADA

2017 ◽  
Author(s):  
Alba M. Rodriguez Padilla ◽  
◽  
John Onwuemeka ◽  
John Onwuemeka ◽  
Yajing Liu ◽  
...  
Keyword(s):  
Focal Mechanism ◽  
Earthquake Source ◽  
Source Parameter ◽  
Seismic Zone ◽  
Eastern Canada

scholarly journals An Improved Firefly Algorithm for Gas Emission Source Parameter Estimation in Atmosphere

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 111923-111930 ◽  
Author(s):  
Denglong Ma ◽  
Jianmin Gao ◽  
Zaoxiao Zhang ◽  
Qingsheng Wang
Keyword(s):  
Parameter Estimation ◽  
Firefly Algorithm ◽  
Emission Source ◽  
Source Parameter ◽  
Gas Emission ◽  
Improved Firefly Algorithm

Procedural City Model using Multi-source Parameter Estimation

2015 ◽  
Author(s):  
Cornelis Stal ◽  
Britt Lonneville ◽  
Philippe De Maeyer ◽  
Annelies Vandenbulcke ◽  
Mieke Paelinck ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Source Parameter ◽  
City Model
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