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

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

地质学报（英文版）2025，Vol.99Issue(6)：1556-1574,19.

地质学报（英文版）2025，Vol.99Issue(6)：1556-1574,19.DOI:10.1111/1755-6724.70011

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

HAILAI Muguo ¹LIANG Feng ¹HAN Chen ²Davlatkhudzha MURODOV ³FANG Lihua ²Sherzod ABDULOV ⁴YAN Jiayong ¹AN Yanru⁵

作者信息

1. State Key Laboratory of Deep Earth and Mineral Exploration,Chinese Academy of Geological Sciences,Beijing 100037,China
2. Institute of Geophysics,China Earthquake Administration,Beijing 100081,China
3. Institute of Geology,Earthquake Engineering and Seismology of National Academy of Sciences of Tajikistan,Dushanbe 734063,Tajikistan||Key Laboratory of Western China's Environmental Systems(Ministry of Education),College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China
4. Institute of Geology,Earthquake Engineering and Seismology of National Academy of Sciences of Tajikistan,Dushanbe 734063,Tajikistan
5. China Earthquake Networks Center,Beijing 100045,China
折叠

摘要

关键词

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

Key words

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

引用本文复制引用

HAILAI Muguo,LIANG Feng,HAN Chen,Davlatkhudzha MURODOV,FANG Lihua,Sherzod ABDULOV,YAN Jiayong,AN Yanru..Deep Velocity Structure and Tectonic Characteristics of the Pamir Plateau based on Bayesian Inversion[J].地质学报（英文版）,2025,99(6):1556-1574,19.

基金项目

The author would like to express gratitude to Zhang Jun and Zhong Renfu for their assistance in data processing.We appreciate the Institute of Geology,Earthquake Engineering and Seismology of National Academy of Sciences of Tajikistan for assisting us in downloading the data.This research work is supported by the National Natural Science Foundation of China(Grant No.42174126),the Alliance of International Science Organizations(ANSO)Project(Grant No.ANSO-CR-PP-2022-04),the Deep Earth Probe and Mineral Resources Exploration National Science and Technology Major Project(Grant Nos.2024ZD1002206,2024ZD1002201),and Key R&D Program of Xinjiang Uyghur Autonomous Region(Grant No.2024B03013-2). （Grant No.42174126）

地质学报（英文版）

ISSN：1000-9515

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