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The Improved Simulated Annealing Algorithm and Application in the Surface Wave Dispersion Inversion
作者姓名:ZHANG Xuemei  YANG Zhigao  SHI Haixi  DU Guangbao  YANG Wen  WEI Xing  HAN Yanyan  LI Fei  HUANG Zhibin  LIU Jie
作者单位:China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China;Institute of Geophysics, China Earthquake Administration, Beijing 100081, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China
基金项目:This project is sponsored by the National Natural Science Foundation of China (41774069, 41504047 and 41604054).
摘    要:The velocity distribution of layers from surface wave dispersion curve is a severely nonlinear 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 nonlinear 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 70 km in the Qiangtang block,while in the hinterland of the Qinghai-Tibetan Plateau the lithosphere is relatively thin(~ 130 km)from the velocity values and their offsets.

关 键 词:Simulated  annealing  algorithm  Simultaneous  inversion  Dispersion  curve  Reconstruction  of  velocity  model
收稿时间:2019/2/21 0:00:00
修稿时间:2019/4/8 0:00:00

The Improved Simulated Annealing Algorithm and Application in the Surface Wave Dispersion Inversion
ZHANG Xuemei,YANG Zhigao,SHI Haixi,DU Guangbao,YANG Wen,WEI Xing,HAN Yanyan,LI Fei,HUANG Zhibin,LIU Jie.The Improved Simulated Annealing Algorithm and Application in the Surface Wave Dispersion Inversion[J].Earthquake Research in China,2019,33(3):391-402.
Authors:ZHANG Xuemei  YANG Zhigao  SHI Haixi  DU Guangbao  YANG Wen  WEI Xing  HAN Yanyan  LI Fei  HUANG Zhibin and LIU Jie
Institution:China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China;Institute of Geophysics, China Earthquake Administration, Beijing 100081, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China,China Earthquake Networks Center, Beijing 100045, China and China Earthquake Networks Center, Beijing 100045, 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.
Keywords:Simulated annealing algorithm  Simultaneous inversion  Dispersion curve  Reconstruction of velocity model
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