S40RTS: a degree-40 shear-velocity model for the mantle from new Rayleigh wave dispersion, teleseismic traveltime and normal-mode splitting function measurements

2010 ◽  
Vol 184 (3) ◽  
pp. 1223-1236 ◽  
Author(s):  
J. Ritsema ◽  
A. Deuss ◽  
H. J. van Heijst ◽  
J. H. Woodhouse
Keyword(s):  
Rayleigh Wave ◽  
Normal Mode ◽  
Shear Velocity ◽  
Wave Dispersion ◽  
Velocity Model ◽  
Splitting Function ◽  
Mode Splitting ◽  
Rayleigh Wave Dispersion ◽  
Normal Mode Splitting

Rayleigh Wave Dispersion Curve Inversion with the Artificial Bee Colony Algorithm

2021 ◽  
Vol 26 (2) ◽  
pp. 99-110
Author(s):  
Xin Wang ◽  
Hongyan Shen ◽  
Xinxin Li ◽  
Qin Li ◽  
Daoyuan Wang
Keyword(s):  
Rayleigh Wave ◽  
Dispersion Curve ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Wave Dispersion ◽  
Velocity Model ◽  
S Wave ◽  
Bee Colony ◽  
Search Optimization ◽  
Rayleigh Wave Dispersion

Rayleigh wave dispersion curve inversion is a non-linear iterative optimization process with multi-parameter and multi-extrema. It is difficult to carry out inversion and reconstruction of stratigraphic parameters quickly and accurately with a single linear or non-linear inversion for the data processing of Rayleigh waves with complex seismic geological conditions. We proposed a new method that combines artificial bee colony algorithm (ABC) and damped least squares algorithm (DLS) to invert Rayleigh wave dispersion curve. First, food sources are initialized in a large scale of the model based on the prior geological information. Then, after three kinds of bee operators (employed bees, onlooker bees and scout bees) transform each other and perform search optimization with several iterations, the targets are converged near the optimal solution to obtain an initial S-wave velocity model. Finally, the final S-wave velocity model is obtained by local optimization of DLS inversion with fast convergence and strong stability. The correctness of the method has been verified by one high-velocity interlayer model, and it was further applied to a real Rayleigh wave dataset. The results show that our method not only absorbs the advantages of ABC global search optimization and strong adaptability, but also makes full use of the advantages of DLS inversion, such as high accuracy and fast convergence speed. The inversion strategy can effectively suppress the inversion falling into local extrema, get rid of the dependence on an initial model, enhance the inversion stability, further improve the convergence speed and inversion accuracy, while has good anti-noise ability.

scholarly journals A new catalogue of normal-mode splitting function measurements up to 10 mHz

2013 ◽  
Vol 193 (2) ◽  
pp. 920-937 ◽  
Author(s):  
A. Deuss ◽  
J. Ritsema ◽  
H. van Heijst
Keyword(s):  
Normal Mode ◽  
Splitting Function ◽  
Mode Splitting ◽  
Normal Mode Splitting

Rayleigh wave dispersion in Australia

1969 ◽  
Vol 59 (1) ◽  
pp. 167-182
Author(s):  
L. Thomas
Keyword(s):  
Phase Velocity ◽  
Rayleigh Wave ◽  
Shear Velocity ◽  
Wave Dispersion ◽  
Inversion Problem ◽  
Velocity Data ◽  
Uniqueness Of Solutions ◽  
Phase Velocities ◽  
Rayleigh Wave Dispersion ◽  
Different Parts

Abstract The “two-station approximation” method of Brune, Nafe and Oliver (1960) has been used to find Rayleigh-wave phase velocities over nine paths between Australian WWSSN stations. Some simple shear-velocity distributions for each path have also been found, by inversion of the phase-velocity data. The lack of uniqueness of solutions to this inversion problem is illustrated by the presence of several distinct but numerically equally-good solutions for each set of phase-velocity data. Solutions (i.e., shear-velocity distributions) expected to represent the crust-mantle system more faithfully have been selected from these. The values, obtained in this way for shear-velocity distributions in the Australian paths studied, have been compared, and show that there is little variation between different parts of the continent.

Velocity model of the Hronov-Poříčí Fault Zone from Rayleigh wave dispersion

2014 ◽  
Vol 18 (3) ◽  
pp. 617-635 ◽  
Author(s):  
Petr Kolínský ◽  
Jan Valenta ◽  
Jiří Málek
Keyword(s):  
Rayleigh Wave ◽  
Fault Zone ◽  
Wave Dispersion ◽  
Velocity Model ◽  
Rayleigh Wave Dispersion
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