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The Improved Simulated Annealing Algorithm and Application in the Surface Wave Dispersion Inversion
ZHANG Xuemei1, YANG Zhigao1, SHI Haixia1, DU Guangbao1, YANG Wen1,2, WEI Xing1, HAN Yanyan1, LI Fei1, HUANG Zhibin1, LIU Jie1
1.China Earthquake Networks Center, Beijing 100045, China;2.Institute of Geophysics, China Earthquake Administration, Beijing 100081, China
摘要:
The velocity distribution of layers from surface wave dispersion curve is a severely non-linear program. Base on the Metropolis rule, we improved the simulated annealing algorithm to simultaneously inverse the velocities and thicknesses using the dispersion data and identified the Moho and the bottom of lithosphere. The application to the numerical examples with 5% noise shows the velocity RMS is 1.56% between the non-linear results and the original models when the condition of selecting method for temperature parameters and initial temperature are satisfied. Using the pure dispersions of Rayleigh wave, the non-linear inversion has been carried out for S-wave velocities and thicknesses of the vertical profile crossing the Indian Plate, the Qinghai-Tibetan Plateau, and the Tarim Basin. It indicated that the crustal thickness is about 70km in the Qiangtang block, while in the hinterland of the Qinghai-Tibetan Plateau the lithosphere is relatively thin (~130km) from the velocity values and their offsets.
关键词:  Simulated annealing algorithm  Simultaneous inversion  Dispersion curve  Reconstruction of velocity model
DOI:10.19743/j.cnki.0891-4176.201903004
分类号:
基金项目:This project is sponsored by the National Natural Science Foundation of China (41774069, 41504047 and 41604054).
The Improved Simulated Annealing Algorithm and Application in the Surface Wave Dispersion Inversion
ZHANG Xuemei1, YANG Zhigao1, SHI Haixia1, DU Guangbao1, YANG Wen1,2, WEI Xing1, HAN Yanyan1, LI Fei1, HUANG Zhibin1, LIU Jie1
1.China Earthquake Networks Center, Beijing 100045, China;2.Institute of Geophysics, China Earthquake Administration, Beijing 100081, China
Abstract:
The velocity distribution of layers from surface wave dispersion curve is a severely non-linear program. Base on the Metropolis rule, we improved the simulated annealing algorithm to simultaneously inverse the velocities and thicknesses using the dispersion data and identified the Moho and the bottom of lithosphere. The application to the numerical examples with 5% noise shows the velocity RMS is 1.56% between the non-linear results and the original models when the condition of selecting method for temperature parameters and initial temperature are satisfied. Using the pure dispersions of Rayleigh wave, the non-linear inversion has been carried out for S-wave velocities and thicknesses of the vertical profile crossing the Indian Plate, the Qinghai-Tibetan Plateau, and the Tarim Basin. It indicated that the crustal thickness is about 70km in the Qiangtang block, while in the hinterland of the Qinghai-Tibetan Plateau the lithosphere is relatively thin (~130km) from the velocity values and their offsets.
Key words:  Simulated annealing algorithm  Simultaneous inversion  Dispersion curve  Reconstruction of velocity model