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APPLIED GEOPHYSICS  2024, Vol. 21 Issue (1): 157-168    DOI: 10.1007/s11770-021-0889-z
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Research on the characteristics of total-field data converted from aeromagnetic vertical gradient data based on a continuation conversion filtering algorithm
Guo Hua, Xu Xi*, Han Song*, Zheng Qiang, Liu Haojun
1. China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China 2. Geo-exploration Science and Technology, Jilin University, Changchun 130026, China 3. School of Earth Sciences, Zhejiang University, Hangzhou 310058, China 4. School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing 100083, China
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Abstract Compared with aeromagnetic total-field data, aeromagnetic vertical gradient field data contain less low-frequency information. In this paper, a continuation conversion filtering algorithm is proposed to filter out part of the low-frequency information of the aeromagnetic total-field data so that these data can be better compared with the total-field data obtained from aeromagnetic gradient data conversion. We discuss the feasibility of single aeromagnetic vertical gradient measurement in areas where it is inconvenient to erect base stations. We design a simple model and a complex model with a background field and random noise to analyze the conversion effect. The model analysis shows that the effect of applying the algorithm depends heavily on the selection of upward continuation height. The magnetization intensity of the background field also affects the selection of continuation height. When the magnetization intensity of the background field is weak, the continuation height chosen is the same as the buried depth of the background field. If the magnetization intensity of the background field is strong, then the higher the continuation height, the better the effect will be. The conclusion of the model analysis is applied to the analysis of the measured aeromagnetic data. In addition, we can conclude that the effect on total-field data of conversion by the continuation conversion filtering algorithm is better than that of conversion from the aeromagnetic vertical gradient data.
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Key wordsAeromagnetic anomaly   Vertical gradient data   Conversion   Continuation conversion filtering     
Received: 2019-06-22;
Fund: This work was supported by National Key Research and Development Program (2017YFC0602000) and China Postdoctoral Science Foundation (2019M652062).
Corresponding Authors: Xu Xi (E-mail: winbreak@163.com); Han Song (E-mail: agrshs@foxmail.com)   
 E-mail: winbreak@163.com;agrshs@foxmail.com
About author: Guo Hua graduated from College of GeoExploration Science and technology of Jil in University in 2007 and obtained master’s degree. Graduated from China University of Geosciences Beijing in 2016 and received his Ph.D. degree. He is a professorate senior engineer in AGRS of China Geological Survey. His research interests are aeromagnetic exploration and potential field data procession and interpretation
Cite this article:   
. Research on the characteristics of total-field data converted from aeromagnetic vertical gradient data based on a continuation conversion filtering algorithm[J]. APPLIED GEOPHYSICS, 2024, 21(1): 157-168.
 
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