A Folding Calculation Method Based on the Preconditioned Conjugate Gradient Inversion Algorithm of Gravity Gradient Tensor
To solve the non-uniqueness problem of gravity gradient inversion, we proposed a folding calculation method based on preconditioned conjugate gradient inversion. Compared with the original algorithm in which the entire study area is taken as the research subject and all grids are used simultaneously...
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          | Published in | Pure and applied geophysics Vol. 176; no. 1; pp. 215 - 234 | 
|---|---|
| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Cham
          Springer International Publishing
    
        01.01.2019
     Springer Nature B.V  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 0033-4553 1420-9136  | 
| DOI | 10.1007/s00024-018-1965-z | 
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| Abstract | To solve the non-uniqueness problem of gravity gradient inversion, we proposed a folding calculation method based on preconditioned conjugate gradient inversion. Compared with the original algorithm in which the entire study area is taken as the research subject and all grids are used simultaneously in the inversion, the proposed folding method divides the research area into several sub-areas. A prism unit from any of the four corner grids is selected for the first iteration, whose density anomaly result is taken as the initial density anomaly for the next iteration of the same sub-area. The folding in the left–right and up–down directions takes turns during the calculation until the inversion calculation has covered the entire research area. This folding algorithm demonstrates strong regularity. The inversion results of multiple synthetic models show that the folding calculation method performs multiple parameter corrections in the initial model. Meanwhile, on the basis that the relative fitting of standard errors of the observed values satisfies the convergence condition, the model errors are constrained, and thus, the model errors of the inversion results are consequently reduced. The 3-D density anomaly pattern over the Craton area in North China was obtained via a joint inversion of the four components (
T
xx
,
T
xz
,
T
yy
,
and
T
zz
) of the Gravity field and steady-state Ocean Circulation Explorer L2 gravity gradient after preprocessing. We compared the inversion results from the folding calculation method and the original method, and performed detailed analysis and discussion on the inversion results with existing geological and geophysical data. Our analysis shows that the improved calculation method is effectively applicable to the inversion of measured gravity gradient data, and the inversion results provide more detailed and reliable pattern information for the density anomaly. | 
    
|---|---|
| AbstractList | To solve the non-uniqueness problem of gravity gradient inversion, we proposed a folding calculation method based on preconditioned conjugate gradient inversion. Compared with the original algorithm in which the entire study area is taken as the research subject and all grids are used simultaneously in the inversion, the proposed folding method divides the research area into several sub-areas. A prism unit from any of the four corner grids is selected for the first iteration, whose density anomaly result is taken as the initial density anomaly for the next iteration of the same sub-area. The folding in the left–right and up–down directions takes turns during the calculation until the inversion calculation has covered the entire research area. This folding algorithm demonstrates strong regularity. The inversion results of multiple synthetic models show that the folding calculation method performs multiple parameter corrections in the initial model. Meanwhile, on the basis that the relative fitting of standard errors of the observed values satisfies the convergence condition, the model errors are constrained, and thus, the model errors of the inversion results are consequently reduced. The 3-D density anomaly pattern over the Craton area in North China was obtained via a joint inversion of the four components (\[\varvec{T}_{\text{xx}} ,\]\[\varvec{T}_{\text{xz}} ,\]\[\varvec{T}_{\text{yy}} ,\] and \[\varvec{T}_{\text{zz}}\]) of the Gravity field and steady-state Ocean Circulation Explorer L2 gravity gradient after preprocessing. We compared the inversion results from the folding calculation method and the original method, and performed detailed analysis and discussion on the inversion results with existing geological and geophysical data. Our analysis shows that the improved calculation method is effectively applicable to the inversion of measured gravity gradient data, and the inversion results provide more detailed and reliable pattern information for the density anomaly. To solve the non-uniqueness problem of gravity gradient inversion, we proposed a folding calculation method based on preconditioned conjugate gradient inversion. Compared with the original algorithm in which the entire study area is taken as the research subject and all grids are used simultaneously in the inversion, the proposed folding method divides the research area into several sub-areas. A prism unit from any of the four corner grids is selected for the first iteration, whose density anomaly result is taken as the initial density anomaly for the next iteration of the same sub-area. The folding in the left–right and up–down directions takes turns during the calculation until the inversion calculation has covered the entire research area. This folding algorithm demonstrates strong regularity. The inversion results of multiple synthetic models show that the folding calculation method performs multiple parameter corrections in the initial model. Meanwhile, on the basis that the relative fitting of standard errors of the observed values satisfies the convergence condition, the model errors are constrained, and thus, the model errors of the inversion results are consequently reduced. The 3-D density anomaly pattern over the Craton area in North China was obtained via a joint inversion of the four components ( T xx , T xz , T yy , and T zz ) of the Gravity field and steady-state Ocean Circulation Explorer L2 gravity gradient after preprocessing. We compared the inversion results from the folding calculation method and the original method, and performed detailed analysis and discussion on the inversion results with existing geological and geophysical data. Our analysis shows that the improved calculation method is effectively applicable to the inversion of measured gravity gradient data, and the inversion results provide more detailed and reliable pattern information for the density anomaly.  | 
    
| Author | Ke, Xiaoping Wang, Yong Tian, Yu  | 
    
| Author_xml | – sequence: 1 givenname: Yu surname: Tian fullname: Tian, Yu organization: State Key Laboratory of Geodesy and Earth’s Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Consortium for Electromagnetic Modeling and Inversion (CEMI), University of Utah – sequence: 2 givenname: Xiaoping orcidid: 0000-0002-1991-8108 surname: Ke fullname: Ke, Xiaoping email: xiaopke@163.com organization: State Key Laboratory of Geodesy and Earth’s Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences – sequence: 3 givenname: Yong surname: Wang fullname: Wang, Yong organization: State Key Laboratory of Geodesy and Earth’s Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, University of Chinese Academy of Sciences  | 
    
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| CitedBy_id | crossref_primary_10_1093_jge_gxac071 crossref_primary_10_1190_geo2023_0551_1 crossref_primary_10_1186_s40623_018_0942_1 crossref_primary_10_5194_se_11_1121_2020 crossref_primary_10_1029_2020JB021291 crossref_primary_10_1093_gji_ggaa318  | 
    
| Cites_doi | 10.1190/1.1444302 10.1016/j.tecto.2004.04.024 10.6038/cjg20131118 10.1111/j.1365-246X.2008.03717.x 10.1016/j.tecto.2013.11.002 10.1071/PVv2011n152p29 10.1016/S1367-9120(03)00071-3 10.1016/j.jseaes.2011.06.010 10.1016/S0301-9268(00)00154-6 10.1190/1.1443968 10.1190/1.1444214 10.1007/s001900000116 10.1002/2016GL071840 10.1190/geo2011-0388.1 10.1190/geo2015-0204.1 10.1137/1034115 10.1002/cjg2.1587 10.1007/s10712-014-9285-z 10.1190/1.1778236 10.1088/1742-2140/aa8caf 10.1016/j.gr.2011.02.005 10.1016/j.pepi.2010.11.007 10.1002/cjg2.233 10.1016/j.pepi.2011.09.004 10.1016/j.pepi.2008.09.002 10.1190/1.1442025 10.1190/1.1442303 10.1002/cjg2.1736 10.1190/1.1442813 10.1190/1.3026538 10.1190/1.1444745  | 
    
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| Keywords | Gravity gradient tensor preconditioned conjugate gradient inversion algorithm folding calculation method North China Craton  | 
    
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| References_xml | – reference: PilkingtonM3D magnetic data-space inversion with sparseness constraintsGeophysics2009741L7L1510.1190/1.3026538 – reference: ZhdanovMSEllisRMukherjeeSThree-dimensional regularized focusing inversion of gravity gradient tensor component dataGeophysics200469492593710.1190/1.1778236 – reference: PilkingtonM3-D magnetic imaging using conjugate gradientsGeophysics19976241132114210.1190/1.1444214 – reference: LiYGOldenburgDW3-D inversion of gravity dataGeophysics199863110911910.1190/1.1444302 – reference: Laske, G., Masters, G., Ma, Z. T., & Pasyanos, M. (2013). Update on CRUST1.0—a 1-degree global model of Earth’s crust. 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| SubjectTerms | Algorithms Area Conjugates Corrections Cratons Data processing Density Earth and Environmental Science Earth Sciences Errors Folding Geophysical data Geophysics Geophysics/Geodesy Gravitation Gravitational fields Gravity Gravity field Iterative methods Mathematical models Ocean circulation Ocean currents Water circulation  | 
    
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| Title | A Folding Calculation Method Based on the Preconditioned Conjugate Gradient Inversion Algorithm of Gravity Gradient Tensor | 
    
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