Crustal structure in the Anyuan Coal Mine and its adjacent areas of Jiangxi Province by P-wave receiver functionsOA北大核心
Crustal structure in the Anyuan Coal Mine and its adjacent areas of Jiangxi Province by P-wave receiver functions
We collected high-quality teleseismic events recorded by 12 broadband seismographs deployed in the Anyuan Coal Mine and its adjacent areas in Pingxiang City,Jiangxi Province for nearly two years.The H-κ-c stacking method was employed to obtain the crustal thickness and Poisson's ratio distribution,then the characteristics of crustal structure below the stations were obtained by using the time-domain linear inversion method.The crustal thickness in the Anyuan Coal Mine and its adjacent areas ranges from approximately 32～35 km,with an average thickness of 33 km,which is consistent with the crustal thickness results in South China from previous studies using the receiver function method.The average Poisson's ratio of the crustal bulk composition in the study area varies between 0.22 and 0.25,which is lower than the global value with a 0.27 average,indicating a predomi-nantly intermediate-acidic or felsic crustal composition.There is a weak negative correlation between Poisson's ratio and crustal thickness estimates in the Anyuan Coal Mine and its adjacent areas,suggesting that the absence of mafic-ultramafic materials in the lower crust is associated with the process of crustal delamination.The velocity inversion results indicate that the crustal structure including three velocity discontinuity interfaces,with the first at a depth of approximately 1.5 km,the second at about 10～15 km,and the third being the Moho.The study also indicates that the results obtained by the H-κ-c stacking method are significantly better than those obtained by the H-κ method,effectively reducing the standard deviation and dispersion of crustal thickness and vp/vs ratio.
Xingmian Zhang;Meng Gong;Jian Lü;Hongxing Li;Jie Hu;Junwen He;Jianhua Peng;Bingyue Liu
Nanchang Key Laboratory of Intelligent Sensing Technology and Instruments for Geological Hazards,East China University of Technology,Nanchang,330013,China||East China University of Technology,School of Geophysics and Measurement-Control Technology,Nanchang,330013,ChinaState Key Laboratory of Nuclear Resources and Environment,East China University of Technology,Nanchang,330013,China||Nanchang Key Laboratory of Intelligent Sensing Technology and Instruments for Geological Hazards,East China University of Technology,Nanchang,330013,China||East China University of Technology,School of Geophysics and Measurement-Control Technology,Nanchang,330013,ChinaJiangxi Earthquake Agency,Nanchang,330026,ChinaEast China University of Technology,School of Geophysics and Measurement-Control Technology,Nanchang,330013,ChinaHunan Earthquake Agency,Changsha,410004,China
Anyuan Coal MineReceiver functionH-κ-c stackingCrustal thicknessPoisson's ratio
《地震研究进展（英文）》 2024 (001)
47-58 / 12
I would like to declare on behalf of my co-authors that the work described was original research that has not been published previously and is not under consideration for publication elsewhere,in whole or in part.All the authors listed have approved the manuscript that is enclosed.We express our heartful appreciation to Chen Hao,Dong Jun,Zha Xiaohui,and Li Zheng from the Jiangxi Earthquake Agency for their field station deployment works,which provided the waveform data for this study.We also thank Professor Li Jiangtao for providing the H-κ-c pro-gram and guidance on its operation.We would also like to sincerely thank the editors for their gracious understanding and the reviewers for sharing their time and valuable comments in the review process.This project is supported by the Spark Program of Earthquake Technology of CEA,China(XH20032),open Research Project from the State Key Lab-oratory of Nuclear Resources and Environment,East China University of Technology(2022NRE17),open Research Project from the State Key Laboratory of Geological Processes,Mineral Resources,China University of Geosciences(GPMR202114)and the Graduate Student Innovation Fund of East China University of Technology(YC2022-s628).
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