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Estimation of Grid Search Algorithm of Seamount Morphology Using Vertical Gravity Gradient Anomalies
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Huan XU1, Yuwei TIAN1, Jinhai YU1, Zhongmiao SUN2, *, He TANG1
Journal of Geodesy and Geodynamics | 2025, 45(10) : 1057 - 1064
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Journal of Geodesy and Geodynamics | 2025, 45(10): 1057-1064
Estimation of Grid Search Algorithm of Seamount Morphology Using Vertical Gravity Gradient Anomalies
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Huan XU1, Yuwei TIAN1, Jinhai YU1, Zhongmiao SUN2, *, He TANG1
Affiliations
  • 1 College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, A19 Yuquan Road, Beijing 100049, China
  • 2 State Key Laboratory of Geo-Information Engineering, 1 Mid-Yanta Road, Xi'an 710054, China

    • XU Huan, PhD candidate, majors in gravity field refinement calculation and altimetry gravity application, E-mail:

About Author:

XU Huan, PhD candidate, majors in gravity field refinement calculation and altimetry gravity application, E-mail:

Published: 2025-10-15 doi: 10.14075/j.jgg.2024.11.533
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Seamounts are previously approximated as an axisymmetric Gaussian shape, and the vertical gravity gradient(VGG) anomalies combined with ship-track bathymetry data are used to evaluate seamount morphology. However, there are significant challenges in describing the complex morphology of seamounts. Therefore, we classify seamounts into two distinct types: conical and elliptical conical shapes, which can be determined by three and five parameters, respectively. We perform a grid search on seamount parameters, obtaining VGG anomalies corresponding to each parameter through forward calculation. The forward VGG anomalies are compared with the observed VGG anomalies, and the minimal root mean square(RMS) error between them is used as a search criterion for estimating. We validate the effectiveness of grid search algorithm through numerical simulations, and apply it to practical examples. The estimation results are compared with multi-beam bathymetry data, the RMS errors ranging from 150 m to 640 m, and the fitting of VGG anomalies is within 8 Eötvös.

vertical gravity gradient  /  seamount morphology  /  grid search  /  numerical simulation
徐焕, 田彧玮, 于锦海, 孙中苗, 唐河. 利用垂直重力梯度异常评估海山形态的格网搜索算法. 大地测量与地球动力学, 2025 , 45 (10) : 1057 -1064 . DOI: 10.14075/j.jgg.2024.11.533
Huan XU, Yuwei TIAN, Jinhai YU, Zhongmiao SUN, He TANG. Estimation of Grid Search Algorithm of Seamount Morphology Using Vertical Gravity Gradient Anomalies[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (10) : 1057 -1064 . DOI: 10.14075/j.jgg.2024.11.533
Funding
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  • National Natural Science Foundation of China(42274010)
  • Project of Naval Research Institute(2022000573)
Appendix
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Year 2025 volume 45 Issue 10
35
16
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Article Info
doi: 10.14075/j.jgg.2024.11.533
  • Receive Date：2024-11-25
  • Online Date：2026-10-29
  • Published：2025-10-15
Article Data
Affiliations
History
  • Received：2024-11-25
Funding
National Natural Science Foundation of China(42274010)
Project of Naval Research Institute(2022000573)
Affiliations
    1 College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, A19 Yuquan Road, Beijing 100049, China
    2 State Key Laboratory of Geo-Information Engineering, 1 Mid-Yanta Road, Xi'an 710054, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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