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Tomography of the Luxi Uplift Based on the Deep Learning Dataset
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Xin CUI1, Tengchao DONG1, Chunpeng ZHANG1
Journal of Geodesy and Geodynamics | 2026, 46(6) : 718 - 727
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Journal of Geodesy and Geodynamics | 2026, 46(6): 718-727
Tomography of the Luxi Uplift Based on the Deep Learning Dataset
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Xin CUI1, Tengchao DONG1, Chunpeng ZHANG1
Affiliations
  • 1 Shandong Earthquake Agency, Jinan 250014, China
Published: 2026-06-15 doi: 10.14075/j.jgg.2025.08.281
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A high-precision seismic dataset was constructed using deep learning methods, and a regional three-dimensional velocity model was obtained through double-difference tomography. The study reveals a correlation between surface velocity structures and geological features: mountainous areas generally exhibit high-velocity P-wave anomalies, whereas depression zones are characterized by low-velocity P-wave anomalies. This pattern may be attributed to the widespread presence of bedrock with relatively high wave velocity in folded regions, in contrast to the Quaternary sedimentary layers with lower velocity in depression areas. Seismic epicenters are densely distributed along the transition zones between high- and low-velocity anomalies. These transitional regions experience significant stress gradients, which facilitate rock fracturing and lead to heightened seismic activity.The Luxi uplift is characterized by several near-vertical high- and low-velocity blocks, with some earthquake epicenters also displaying steeply dipping distributions, suggesting the presence of high-angle faults. This structural configuration may result from multiple phases of compression and extension under the influence of Pacific Plate subduction and the tectonic activity of the Tan-Lu fault zone. These processes have led to cyclic uplift and subsidence in the region, during which progressive compression and extension of rock folds gradually increased their dip angles, forming near-vertical velocity blocks and high-angle faults.Integrated analysis of P- and S-wave velocities suggests the presence of mantle-derived basaltic magmatic intrusions beneath both the Nishan area and the northeastern region of the Lushan. In the Nishan area, the intrusions are predominantly plutonic, whereas in northeastern Lushan, mantle-derived basaltic magma likely reached the surface, forming ancient volcanoes and extrusive rocks.

Luxi uplift  /  Jiyang depression  /  double-difference tomography (TomoDD)  /  deep learning method  /  seismic dataset  /  3D velocity model
Xin CUI, Tengchao DONG, Chunpeng ZHANG. Tomography of the Luxi Uplift Based on the Deep Learning Dataset[J]. Journal of Geodesy and Geodynamics, 2026 , 46 (6) : 718 -727 . DOI: 10.14075/j.jgg.2025.08.281
Year 2026 volume 46 Issue 6
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doi: 10.14075/j.jgg.2025.08.281
  • Receive Date:2025-08-18
  • Online Date:2026-07-09
  • Published:2026-06-15
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  • Received:2025-08-18
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    1 Shandong Earthquake Agency, Jinan 250014, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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