Upper mantle density modelling for large-scale Moho gravity inversion: case study on the Atlantic Ocean | |
Bai, Yongliang1,2; Li, Mei3; Wu, Shiguo4; Dong, Dongdong5; Gui, Zhou1,2; Sheng, Jie1,2; Wang, Zhenjie1,2 | |
2019-03-01 | |
发表期刊 | GEOPHYSICAL JOURNAL INTERNATIONAL |
ISSN | 0956-540X |
卷号 | 216期号:3页码:2134-2147 |
通讯作者 | Bai, Yongliang([email protected]) |
摘要 | Moho geometry is an important parameter in geodynamic understanding. Seismic methods can provide accurate burial depths, but the coverage is low; the widely used CRUST1.0 model under oceans is greatly restricted by a low coverage of seismic data. Gravity inversion can provide high coverage of Moho undulations, but the accuracy is relatively low. Observed gravity anomalies integrate gravity effects induced by 3-D density perturbations in the Earth. For studies of the geometry of a specific density interface based on gravity, all gravity effects caused by other interfaces should be removed from the total anomaly map based on 3-D density distributions. We use temperature-based and velocity-based methods to model the lithospheric/upper mantle density; two temperature-calculation parameter models (PSM and GDH1), three thermal expansion coefficients (alpha) and three scaling ratio models are tested for each method. PSM and GDH1 result in a similar mantle gravity anomaly (MGA) pattern but different MGA average values when the alpha model is the same. Different alpha and scaling ratio models result in different Moho inversion results, and the optimal result from the temperature-based method has an RMS of 3.2 km with the CRUST1.0 model. A comparison between this inversion result and the CRUST1.0 model shows that the temperature-based method performs well in reproducing Moho geometry in the main part of the Atlantic Ocean, especially in the central basin. The optimal result from the velocity-based method has an RMS of 4.3 km with the CRUST1.0 model. Compared with the temperature-based method, the velocity-based method performs worse in the central basin but better in regions with low-velocity and low-density mantle away from the mid-ocean ridge. |
关键词 | Structure of the Earth Gravity anomalies and Earth structure Atlantic Ocean |
DOI | 10.1093/gji/ggz003 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[41506055]###396; National Natural Science Foundation of China[41476046]###397; National Natural Science Foundation of China[41476042]###398; National Natural Science Foundation of China[U170120019]###399; National Natural Science Foundation of China[41506085]###400; Fundamental Research Funds for the Central Universities China[17CX02003A]###401; Open Fund of the Key Laboratory of Marine Geology and Environment, CAS[MGE2017KG01]###2647; National Natural Science Foundation of China[41506055]; National Natural Science Foundation of China[41476046]; National Natural Science Foundation of China[41476042]; National Natural Science Foundation of China[U170120019]; National Natural Science Foundation of China[41506085]; Fundamental Research Funds for the Central Universities China[17CX02003A]; Open Fund of the Key Laboratory of Marine Geology and Environment, CAS[MGE2017KG01] |
WOS研究方向 | Geochemistry & Geophysics |
WOS类目 | Geochemistry & Geophysics |
WOS记录号 | WOS:000465601500044 |
出版者 | OXFORD UNIV PRESS |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.qdio.ac.cn/handle/337002/161431 |
专题 | 海洋地质与环境重点实验室 |
通讯作者 | Bai, Yongliang |
作者单位 | 1.China Univ Petr, Sch Geosci, Qingdao 266580, Shandong, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Mineral Resources, Qingdao 266071, Peoples R China 3.Longitude & Latitude Ctr Qingdao Ecotech Dev Zone, Qingdao 266555, Shandong, Peoples R China 4.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572000, Peoples R China 5.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China |
推荐引用方式 GB/T 7714 | Bai, Yongliang,Li, Mei,Wu, Shiguo,et al. Upper mantle density modelling for large-scale Moho gravity inversion: case study on the Atlantic Ocean[J]. GEOPHYSICAL JOURNAL INTERNATIONAL,2019,216(3):2134-2147. |
APA | Bai, Yongliang.,Li, Mei.,Wu, Shiguo.,Dong, Dongdong.,Gui, Zhou.,...&Wang, Zhenjie.(2019).Upper mantle density modelling for large-scale Moho gravity inversion: case study on the Atlantic Ocean.GEOPHYSICAL JOURNAL INTERNATIONAL,216(3),2134-2147. |
MLA | Bai, Yongliang,et al."Upper mantle density modelling for large-scale Moho gravity inversion: case study on the Atlantic Ocean".GEOPHYSICAL JOURNAL INTERNATIONAL 216.3(2019):2134-2147. |
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ggz003.pdf(10873KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 浏览 |
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