首页|Crustal structure in the Anyuan Coal Mine and its adjacent areas of Jiangxi Province by P-wave receiver functions

Crustal structure in the Anyuan Coal Mine and its adjacent areas of Jiangxi Province by P-wave receiver functions

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  • 国家科技期刊平台
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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.

Anyuan Coal MineReceiver functionH-κ-c stackingCrustal thicknessPoisson's ratio

Xingmian Zhang、Meng Gong、Jian Lü、Hongxing Li、Jie Hu、Junwen He、Jianhua Peng、Bingyue Liu

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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,China

State Key Laboratory of Nuclear Resources and Environment,East China University of Technology,Nanchang,330013,China

Jiangxi Earthquake Agency,Nanchang,330026,China

Hunan Earthquake Agency,Changsha,410004,China

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Spark Program of Earthquake Technology of CEA,Chinaopen Research Project from the State Key Laboratory of Nuclear Resources and Environment,East China University of Technologyopen Research Project from the State Key Laboratory of Geological Processes,Mineral Resources,China University of GeosciencesGraduate Student Innovation Fund of East China University of Technology

XH200322022NRE17GPMR202114YC2022-s628

2024

10.1016/j.eqrea.2023.100266

地震研究进展(英文)
中国地震局

地震研究进展(英文)

影响因子：0.032
ISSN：2096-9996
年,卷(期)：2024.4(1)
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