Accuracy evaluation on five non-linear methods for fault parameter inversion of different-type fault earthquakes
نویسندگان
چکیده
Accurate inversion of seismic fault parameters has been a challenge in the studies geophysical non-linear problems. Many methods such as Simulated Annealing (SA), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Multipeaks (MPSO), have usually applied to inverse from geodetic observation data. However, their accuracy availability can vary different-type earthquakes (pure strike-slip, pure dip-slip fault, oblique-slip earthquakes). In order evaluate these on for earthquakes, we SA, GA, PSO, MPSO new method—Black Hole (BHPSO), synthetic observed GPS InSAR We found that BHPSO performed better than PSO both The data simulation results showed Root-Mean-Square Errors (RMSEs) were 0.01–0.06 m, smaller those GA PSO. then five two real earthquakes—the 2020 Nevada Mw 6.4 earthquake 2021 Maduo 7.4 earthquake, RMSEs 0.005–0.195 also this study demonstrated BHPSO, hold high earthquakes.
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ژورنال
عنوان ژورنال: Frontiers in Earth Science
سال: 2023
ISSN: ['2296-6463']
DOI: https://doi.org/10.3389/feart.2022.1094623