Deep Velocity Structure and Tectonic Characteristics of the Pamir Plateau based on Bayesian Inversion

Muguo HAILAI , Feng LIANG , Chen HAN , Davlatkhudzha MURODOV , Lihua FANG , Sherzod ABDULOV , Jiayong YAN , Yanru AN

Acta Geologica Sinica (English Edition) ›› 2025, Vol. 99 ›› Issue (6) : 1556 -1574.

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Acta Geologica Sinica (English Edition) ›› 2025, Vol. 99 ›› Issue (6) :1556 -1574. DOI: 10.1111/1755-6724.70011
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Deep Velocity Structure and Tectonic Characteristics of the Pamir Plateau based on Bayesian Inversion
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Abstract

The Pamir Plateau, at the northwestern margin of the Tibetan Plateau, is a key region for investigating continental collision and plateau uplifting. To probe its deep structure, we collected seismic data from 263 stations across 11 research projects. We applied cross-correlation to noise data and extracted surface wave dispersion data from cross-correlation functions. The extracted dispersion data were subsequently inverted using a 3-D transdimensional Bayesian inversion method (rj-3DMcMC). The inversion result reveals several crustal low-velocity zones (LVZs). Their formation is likely related to crustal thickening, the exposure of gneiss domes, and thicker sedimentary sequences compared to surrounding areas. In the lower crust and upper mantle, the LVZs in southern Pamir and southeastern Karakoram evolve into high-velocity zones, which expand northeastward with increasing depth. This suggests northward underthrusting of the Indian Plate. We also analyzed the Moho using both the standard deviation of S-wave velocity and the S-wave velocity structure. Results show that significant variations in velocity standard deviation reliably delineate the Moho interface.

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ambient noise tomography / Bayesian inversion / crust and mantle structure / Western Himalayan syntaxis

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Muguo HAILAI, Feng LIANG, Chen HAN, Davlatkhudzha MURODOV, Lihua FANG, Sherzod ABDULOV, Jiayong YAN, Yanru AN. Deep Velocity Structure and Tectonic Characteristics of the Pamir Plateau based on Bayesian Inversion. Acta Geologica Sinica (English Edition), 2025, 99(6): 1556-1574 DOI:10.1111/1755-6724.70011

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