Global mantle conductivity imaging using 3-D geomagnetic depth sounding with real earth surface conductivity constraint

IF 4.2 2区 地球科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Geosciences Pub Date : 2024-08-10 DOI:10.1016/j.cageo.2024.105697
Xinpeng Ma , Yunhe Liu , Changchun Yin , Jingru Li , Jun Li , Xiuyan Ren , Shiwen Li
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Abstract

The water content in the Earth's interior is of great significance for material circulation and the dynamic evolution of the planet. The water content in mantle minerals significantly affects their conductivities. By measuring the variations in conductivity within the Earth, we can infer the water content in the mantle and study the movement and processes of materials within the Earth. The geomagnetic depth sounding is a widely used method for imaging the mantle conductivity as it has large sounding depth. However, the ocean induction effects can seriously impact geomagnetic data that can't be well corrected using conventional methods. Here, we present a novel three-dimensional inversion method for geomagnetic depth sounding to overcome the ocean induction effects by directly adopt the real earth surface conductivity into the inverse model. In this method, the unstructured tetrahedral grids are used to represent the model in multi-scale and the vector finite-element method is adopted to accurately compute the geomagnetic responses. The synthetic model tests show that the earth surface conductivity has serious effect on the inversion results, but it can be well suppressed by directly modeling it in the inverse model. We further invert the data from 128 geomagnetic stations around the world and obtain a more accurate new model of global mantle conductivity.

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利用三维地磁深度探测和真实地球表面电导率约束进行全球地幔电导率成像
地球内部的含水量对物质循环和地球的动态演化具有重要意义。地幔矿物中的含水量会极大地影响它们的电导率。通过测量地球内部电导率的变化,我们可以推断地幔中的含水量,研究地球内部物质的运动和过程。地磁深度探测由于探测深度大,是一种广泛使用的地幔电导率成像方法。然而,海洋感应效应会严重影响地磁数据,无法用传统方法进行很好的校正。在此,我们提出了一种新颖的地磁深度探测三维反演方法,通过在反演模型中直接采用真实的地球表面电导率来克服海洋感应效应。该方法采用非结构化四面体网格多尺度表示模型,并采用矢量有限元法精确计算地磁响应。合成模型试验表明,地表电导率对反演结果有严重影响,但通过在反演模型中直接模拟地表电导率,可以很好地抑制地表电导率的影响。我们进一步反演了全球 128 个地磁站的数据,得到了一个更精确的全球地幔电导率新模型。
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来源期刊
Computers & Geosciences
Computers & Geosciences 地学-地球科学综合
CiteScore
9.30
自引率
6.80%
发文量
164
审稿时长
3.4 months
期刊介绍: Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.
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