Crustal Structure of the Southern Section and Surroundings of the Tan-Lu Fault Zone Based on Receiver Functions
Extracting the teleseismic waveform data recorded from 2015 to 2022 by 40 broadband seis-mic stations on the east and west sides of the Tan-Lu fault zone in the Jiangsu-Anhui regions,1758 high-quality receiver functions were calculated and filtered using the teleseismic P-wave receiver func-tion method.The H-K superposition search method was then applied to obtain the crustal thickness and Poisson's ratio beneath each station.The results showed that:(1)The Moho interface in the study area showed significant undulations,with crustal thickness ranging from 28 to 36 km and an average crustal thickness of approximately 32.6 km.The crustal thickness was characterized with distinct block distribution,with the Moho interface burial depth in the Dabie and Sulu orogenic belts located in mountainous uplifts significantly greater than in basins or plains.Within the same block,notable varia-tions also occurred due to the complexity of topography and crustal composition.The crustal thickness showed a general thinning trend from west to east,demarcated by the Tan-Lu fault zone.There was a symmetrical relationship between the crustal thickness and the topography in the study area,with the Qinling-Dabie orogenic belt being the region of maximum crustal thickness.(2)The Poisson's ratio in the study area mainly ranged from 0.20 to 0.29,with a large span,indicating complex crustal composi-tion.The average Poisson's ratio in the study area was about 0.24,close to China's continental aver-age.Some stations located in mountainous uplift areas had higher Poisson's ratios,possibly due to the influx of molten material or the intrusion of iron and magnesium materials.Poisson's ratio in the study area showed an inverse correlation with crustal thickness,with higher crustal thickness often corre-sponding to regions with lower Poisson's ratio.
Jiangsu-Anhui regionTan-Lu fault zonereceiver functioncrustal thicknessPoisson's ratio
万方数据
维普
