In this paper,we focus on the influences of various parameters in the niching genetic algorithm inversion procedure on the results,such as various objective functions,the number of the models in each subpopulation,and...In this paper,we focus on the influences of various parameters in the niching genetic algorithm inversion procedure on the results,such as various objective functions,the number of the models in each subpopulation,and the critical separation radius.The frequency-waveform integration(F-K) method is applied to synthesize three-component waveform data with noise in various epicentral distances and azimuths.Our results show that if we use a zero-th-lag cross-correlation function,then we will obtain the model with a faster convergence and a higher precision than other objective functions.The number of models in each subpopulation has a great influence on the rate of convergence and computation time,suggesting that it should be obtained through tests in practical problems.The critical separation radius should be determined carefully because it directly affects the multiextreme values in the inversion.We also compare the inverted results from full-band waveform data and surfacewave frequency-band(0.02-0.1 Hz) data,and find that the latter is relatively poorer but still has a higher precision,suggesting that surface-wave frequency-band data can also be used to invert for the crustal structure.展开更多
In this paper,a new earthquake location method based on the waveform inversion is proposed.As is known to all,the waveform misfit function under the L2 measure is suffering from the cycle skipping problem.This leads t...In this paper,a new earthquake location method based on the waveform inversion is proposed.As is known to all,the waveform misfit function under the L2 measure is suffering from the cycle skipping problem.This leads to a very small convergence domain of the conventional waveform based earthquake location methods.In present study,by introducing and solving two simple sub-optimization problems,we greatly expand the convergence domain of the waveform based earthquake location method.According to a large number of numerical experiments,the new method expands the range of convergence by several tens of times.This allows us to locate the earthquake accurately even from some relatively bad initial values.展开更多
基金supported by the National Natural Science Foundation of China (Nos.41274059,40974021 and 40774044)Beijing Natural Scientific Foundation (Nos.8122039 and 8092028) to J.Lei
文摘In this paper,we focus on the influences of various parameters in the niching genetic algorithm inversion procedure on the results,such as various objective functions,the number of the models in each subpopulation,and the critical separation radius.The frequency-waveform integration(F-K) method is applied to synthesize three-component waveform data with noise in various epicentral distances and azimuths.Our results show that if we use a zero-th-lag cross-correlation function,then we will obtain the model with a faster convergence and a higher precision than other objective functions.The number of models in each subpopulation has a great influence on the rate of convergence and computation time,suggesting that it should be obtained through tests in practical problems.The critical separation radius should be determined carefully because it directly affects the multiextreme values in the inversion.We also compare the inverted results from full-band waveform data and surfacewave frequency-band(0.02-0.1 Hz) data,and find that the latter is relatively poorer but still has a higher precision,suggesting that surface-wave frequency-band data can also be used to invert for the crustal structure.
基金This work was supported by the National Nature Science Foundation of China(Grant Nos.41230210,41390452)Hao Wu was also partially supported by the National Nature Science Foundation of China(Grant Nos.11101236,91330203)and SRF for ROCS,SEM.The authors are grateful to Prof.Shi Jin for his helpful suggestions and discussions that greatly improve the presentation.Hao Wu would like to thank Prof.Ping Tong for his valuable comments.The authors would also like to thank the referees for their valuable suggestions which helped to improve the content and presentation of this paper.
文摘In this paper,a new earthquake location method based on the waveform inversion is proposed.As is known to all,the waveform misfit function under the L2 measure is suffering from the cycle skipping problem.This leads to a very small convergence domain of the conventional waveform based earthquake location methods.In present study,by introducing and solving two simple sub-optimization problems,we greatly expand the convergence domain of the waveform based earthquake location method.According to a large number of numerical experiments,the new method expands the range of convergence by several tens of times.This allows us to locate the earthquake accurately even from some relatively bad initial values.