极地研究

极地研究 ›› 2023, Vol. 35 ›› Issue (1): 24-33.DOI: 10.13679/j.jdyj.20210092

• 研究论文 • 上一篇    下一篇

利用重力地质法反演南极阿蒙森海海底地形

袁寒箫1  王永康2  李杰1  张化疑1  唐秋华1   

  1. 1自然资源部第一海洋研究所, 山东 青岛 266061;
    2国家海洋环境监测中心, 辽宁 大连 116023
  • 出版日期:2023-03-31 发布日期:2023-03-17
  • 通讯作者: 唐秋华
  • 作者简介:袁寒箫, 男, 1999年生。硕士研究生, 主要从事海洋测绘研究。E-mail: yuanhanxiao1232021@163.com
  • 基金资助:
    国家自然科学基金(41876111)、国家海洋局极地考察办公室项目(RASCC2020-2022)资助

 Predicting bathymetry of the Amundsen Sea in Antarctica using the Gravity Geologic Method

Yuan Hanxiao1, Wang Yongkang2, Li Jie1, Zhang Huayi1, Tang Qiuhua1   

  1. 1First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China;
    2National Marine Environmental Monitoring Center, Dalian 116023, China
  • Online:2023-03-31 Published:2023-03-17
  • Contact:

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摘要： 根据船测单波束数据和V30.1重力异常模型, 采用重力地质法(Gravity Geologic Method, GGM)反演得到南极阿蒙森海1'×1'分辨率海底地形。在精度分析中, 首先通过GGM反演模型与其他常用的水深模型对比, 验证了使用GGM水深模型所反演的南极阿蒙森海海底地形的整体精度最高; 然后, 分析了水深控制点数量和地形起伏度对反演精度的影响, 结果表明地形起伏对反演精度影响较大, 而通过增加水深控制点数量则能够提高反演精度; 最后, 对研究区域进行水深分区处理, 分析了密度差异常数与外界因素的关系, 得出密度差异常数也受地形起伏影响较大, 为此提出了一种基于水深分区计算局部区间最优密度差异常数的GGM法, 相比采用全局最优密度差异常数反演海底地形, 该方法使反演精度有了明显提高。

关键词: 重力地质法, 重力异常, 海底地形, 阿蒙森海, 水深分区

Abstract: In this study, the submarine topography of the Amundsen Sea in Antarctica was inverted at 1'×1' resolution using the Gravity Geologic Method (GGM), shipboard single-beam echosounding data and altimeter-derived gravity anomaly data, version V30.1, from the Scripps Institution of Oceanography model, as input. First, an accuracy analysis confirmed that the GGM-based model yielded the highest overall accuracy, compared with other universal bathymetric models. Then, the influence of the number of control points and of the topographic relief on inversion accuracy was analyzed. Results showed that topographic relief strongly influenced inversion accuracy and that increasing the number of control points improved the inversion accuracy. Finally, the research area was partitioned by depth to analyze the relationship between density contrast and external factors. Density contrast was markedly influenced by topographic relief, thus the GGM was used in this study to calculate local interval partitioning depending on the optimal density contrast depth. Compared with global optimal density contrast inversion of seafloor topography, the method used in this study showed considerably higher accuracy.

Key words: Gravity Geologic Method, gravity anomaly, seabed topography, Amundsen Sea, bathymetric division