Estimation method for field source location in the presence of strong remanent magnetization in low-latitude regions

IF 4.2 2区 地球科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Qiang Liu , Changli Yao , Guangjing Xu , Yao Luo , Xianzhe Yin
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引用次数: 0

Abstract

Normalized source strength (NSS) is often applied to interpret magnetic anomalies due to its low sensitivity to magnetization direction. However, when calculating NSS, it is usually necessary to calculate the magnetic potential based on the direction of the geomagnetic field. Similar to the reduction-to-the-pole method routinely computed in the wavenumber domain, NSS is unstable at low latitudes. Therefore, we proposed a new method called the low-latitude normalized source strength (LLNSS); with this approach, the NSS is calculated using the magnetic anomaly instead of the magnetic potential. This approach expands the range of application of the NSS method. The proposed method does not depend on the direction of the geomagnetic field, making it suitable for processing and interpreting magnetic data in the presence of strong residual magnetization, particularly in low-latitude areas. This method was tested on both synthetic and field datasets. Comparative model test results showed that our algorithm had better calculation stability, lower magnetization direction sensitivity, and stronger field-source positioning ability. Real data processing results further validated the effectiveness and practicality of our method.
低纬地区强剩余磁化场源定位估计方法
归一化源强度(NSS)对磁化方向的敏感性较低,常用于解释磁异常。然而,在计算NSS时,通常需要根据地磁场的方向来计算磁势。与通常在波数域中计算的极点简化方法类似,NSS在低纬度地区不稳定。因此,我们提出了一种新的方法,称为低纬度归一化源强度(LLNSS);利用这种方法,利用磁异常代替磁势计算NSS。这种方法扩大了NSS方法的应用范围。所提出的方法不依赖于地磁场的方向,使其适用于在强残余磁化存在的情况下处理和解释磁数据,特别是在低纬度地区。该方法在合成数据集和现场数据集上进行了测试。对比模型试验结果表明,该算法具有较好的计算稳定性、较低的磁化方向灵敏度和较强的场源定位能力。实际数据处理结果进一步验证了该方法的有效性和实用性。
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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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