Citation: | LIU Long,DU Hui,TANG Xiaoping,et al. Characteristics of Magnetic Anomalies and Geologic Significance in the Southern Hongshigang Area of the Eastern Tianshan Mountains, China[J]. Northwestern Geology,2025,58(3):1−11. doi: 10.12401/j.nwg.2024101 |
In recent years, the emphasis of metal mineral exploration has gradually shifted to the hidden deposits in the covered areas where the rock mass is not exposed. However, it is difficult to obtain the information of underground abnormal bodies in the early investigation work because of the thick overlying layer. The Mafic and ultramafic rock mass outlying in the Hongshigang area of the Eastern Tianshan Cu-Ni metallogenic belt shows good prospecting potential. The 1:50 000 aeromagnetic data and gravity data show that there is a high magnetic and high gravity coupling anomaly in the southern Quaternary covered area, which has not been investigated yet. Therefore, this study conducted high-precision ground magnetic survey work in the southern Hongshigang area and used magnetic anomaly reduced to the pole, vertical first derivative, normalized total gradient method, two-dimensional profile simulation, and three-dimensional magnetic anomaly inversion methods to conduct preliminary exploration and research on the underground anomalous bodies in the area. It was found that there are five significant magnetic anomalies in the investigation area, and the average magnetic susceptibility of the hidden anomalous bodies is about
|
|
|
|
|
|
邵行来. 东天山黄山—镜儿泉超镁铁岩带地球物理特征研究及找矿应用[D]. 中国地质大学(北京), 2012.
|
|
|
|
|
|
|
|
|
吴功成. 新疆白石泉铜镍矿矿床地质与找矿预测[D]. 中国地质大学(北京), 2018. .
|
|
|
|
|
|
|
|
|
|
|
|
Mao Y-J, Qin K-Z, Li C, et al. Petrogenesis and ore genesis of the Permian Huangshanxi sulfide ore-bearing mafic-ultramafic intrusion in the Central Asian Orogenic Belt, western China[J]. Lithos, 2014, 200–201: 111–125.
|
|
|
|
|
|
Utsugi M. 3-D inversion of magnetic data based on the L1–L2 norm regularization[J]. Earth, Planets and Space, 2019, 71(1).
|
Vanzon T, Roy-Chowdhury K. Structural inversion of gravity data using linear programming: 3[J]. Geophysics, 2006, 71(3).
|
|
Xiangjin R, Linfu X, Yanyan Z, et al. The 3D Visualization of 2D GM-SYS Gravity-Magnetic Inversion Sections Based on GoCAD[C]//2017 International Conference on Robots & Intelligent System (ICRIS). Huai An City, China: IEEE, 2017. 325–328.
|
|
|
|