红河断层区和相邻地区的地质结构的重力数据融合和成像
Guiju Wu1, Fei Yu1, Hongbo Tan1
1Key Laboratory of Earthquake Geodesy, Institute of Seismology, CEA, Wuhan 430071, China.
Sensors (Basel, Switzerland)
|February 26, 2025
概括
一种新的重力数据融合方法增强了复杂的红河断层区域 (RRF) 的地球物理分析. 这项技术揭示了更清晰的地密度图像,改善了我们对地质结构的理解.
科学领域:
- 地质物理学 地质物理学
- 地质地质地质地质地质地
- 地球科学 地球科学 地球科学
背景情况:
- 红河断层区域 (RRF) 呈现出复杂的地质结构.
- 高精度的重力数据很少,阻碍了详细的地物质分布分析.
研究的目的:
- 开发和验证重力数据融合方法,以改善地密度成像.
- 为了分析红河断层区域内的地密度结构.
主要方法:
- 一种使用Moho深度模型数据和测量重力数据的重力数据融合方法.
- 为高精度网格数据生成的双线互插.
- 表面密度反向用于地密度成像.
主要成果:
- 合并的数据准确地反映了区域趋势和当地异常信息.
- 合并数据的平方根平均误差低于5%,相关系数高于90%.
- 与中央部分相比,在北部和南部的RRF中确定了较浅的低密度异常区域 (深度约20公里).
结论:
- 拟议的数据融合方法为地球物理数据处理提供了一种高效的方法.
- 该研究提供了RRF的详细地密度图像,揭示了异常区域深度的变化.
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