The Tibetan Plateau is one of the most intense areas of global crustal activity. The crustal uplift of Tibetan Plateau is closely related to geosciences such as climate, glaciers and deep geodynamics which are a research hotspot in the field of earth science today. The uplift rate and its dynamic mechanism of the crust are still inconclusive and have received much attention in geosciences. This project focuses on the study of surface water mass changes and temporal-spatial characteristics of the Tibetan Plateau, vertical crustal deformation and dynamic mechanism interpretation. Furthermore, we break through the key technologies such as analysis fusion methods of GPS and GRACE data, and stripping non-tectonic signal of GPS time series. Combined GPS, GRACE satellite gravity, satellite altimetry observation data and global mass change model, to quantitative estimation of surface water quality changes, surface non-structural elastic load deformation and crustal vertical tectonic movement of the Tibetan Plateau. The deep tectonic dynamics theoretical model will be combined with our geodetic results for explanation of uplift and plate movement of Tibetan Plateau. The results in this project maybe have important scientific significance for understanding the uplift process and revealing the dynamic mechanism of material migration of the Tibetan Plateau.
青藏高原是全球地壳活动最为剧烈的区域之一,其隆升过程与气候、冰川以及深部地球动力学等地球科学问题密切相关,是当今地球科学领域的研究热点,其地壳的隆升速率及其动力学机理,尚无定论,且备受关注。本项目重点研究青藏高原地表水质量变化及时空特性、地壳垂直构造形变及动力学机制解释,突破GPS和GRACE数据分析融合方法、GPS时间序列非构造信号的剥离等关键技术。联合GPS、GRACE卫星重力、卫星测高观测数据及全球质量变化模型,定量估计青藏高原地表水质量变化、地表非构造弹性负荷形变及地壳垂直构造运动,联合深部构造动力学理论模型对青藏高原隆升及其板块运动过程进行解释。研究成果对深入理解现今青藏高原隆升过程,揭示青藏高原区域物质迁移动力学机理,有重要科学意义。
本项目基于多源大地测量观测数据研究了青藏高原地表水质量变化及时空特性、地壳垂直构造形变;联合多源大地测量观测结果和其它地学资料综合分析了青藏高原构造运动的动力学机制。突破了GPS和GRACE数据分析融合方法、GPS时间序列非构造信号的剥离等关键技术。基于GPS、GRACE卫星重力、卫星测高观测数据及全球质量变化模型,定量估计青藏高原地表水质量变化、地表非构造弹性负荷形变及地壳垂直构造运动; 联合深部构造动力学理论模型对青藏高原隆升及其板块运动过程进行了科学解释。研究成果对深入理解现今青藏高原隆升过程,揭示青藏高原区域物质迁移动力学机理,有重要科学意义。依托本研究项目,发表了学术论文9篇,其中SCI检索论文8篇,EI检索论文1篇,其中包括地学顶级期刊JGR-Solid Earth, EPSL, GJI等。
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数据更新时间:2023-05-31
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