CM4模型在南海南部某工区磁测数据重处理中的应用

doi:10.11720/wtyht.2025.1336

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Abstract

During the reorganization of historical magnetic survey data for the South China Sea, it was found that the processed magnetic survey data of a specific area in the southern South China Sea exhibited low accuracy, affecting the effectiveness of data use. Data analysis reveals that the low accuracy was primarily caused by the significant errors in diurnal correction. Therefore, it is necessary to modify the diurnal correction method and reprocess the data. Based on the recollected data from various available geomagnetic observation stations and the variations of the geomagnetic field, this study simulated the magnetic diurnal variations in the study area during the survey period using three algorithms: the CM4 model, regression analysis, and regression analysis based on the data sample control of the CM4 model. The historical magnetic survey data were recorrected for diurnal variations, with data affected by magnetic disturbances removed based on geomagnetic indices, significantly enhancing data accuracy. This study addresses the problem of low accuracy in historical magnetic survey data in the study area, providing a novel approach for the fine-scale reprocessing of magnetic survey data related to the South China Sea.

Key words： marine magnetic survey southern South China Sea data reprocessing diurnal correction CM4 model regression analysis

Received: 09 August 2024 Published: 30 December 2025

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	Xiang-Yu ZHANG
	Yao ZHANG
	Cong-Cong XING

Cite this article:

Xiang-Yu ZHANG,Yao ZHANG,Cong-Cong XING. Application of the CM4 model in reprocessing magnetic survey data of a study area in the southern South China Sea[J]. Geophysical and Geochemical Exploration, 2025, 49(6): 1311-1318.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2025.1336 OR https://www.wutanyuhuatan.com/EN/Y2025/V49/I6/1311

Profile of magnetic anomaly for some lines

Statistical of downloaded data information from geomagnetic observation stations

Comparison chart of diural variation data during the measurement time of a certain period in 2021

Comparison chart of results calculated by different methods in the sample period

Diagram of deviation values of results calculated by different methods in the sample period

Comparison chart of three sets of calculation results during a certian measuement period in 2013

Statistical of deviation in results calculated by three methods

Comparison chart of three methods for calculating result deviation

Statistical of intersection differences of processed magnetic anomalies

Contour map of magnetic anomaly in the research area before and after reprocessing

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