Lithodemic unit identification for Huashan rock mass based on aeromagnetic anomaly boundary enhancement

Qinghua Yan; Shijing Zheng; Qingshan Zhang; Zhaoqiang Huang; Min Qi; Fuzhong Xu

doi:10.1117/12.3010293

15 November 2023 Lithodemic unit identification for Huashan rock mass based on aeromagnetic anomaly boundary enhancement

Qinghua Yan, Shijing Zheng, Qingshan Zhang, Zhaoqiang Huang, Min Qi, Fuzhong Xu

Author Affiliations +

Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128151G (2023) https://doi.org/10.1117/12.3010293
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China

Abstract

The main method of granite lithodemic mapping based on cogenetic magma evolution theory is identifying the evolutional sequence and contact relationship of the rock body. Huashan granite, the remelted complex pluton, generates different types of minerals in different evolutional cycles, so studying the metallogenic regularity by lithodemic classification is significant to delineate prospecting target areas. The magnetic susceptibility measurement of rocks in the area shows differences in each unit of the rock body and the exocontact zone. Four boundary enhancement methods, vertical derivative (VD), total horizontal derivative (THD), Tilt, and Theta map, are used to identify the lithodemic units by the aeromagnetic anomaly data of Huashan rock mass, and the Theta map can effectively identify the units inside the rock body with a higher resolution. This paper provides an effective geophysical method for lithodemic unit mapping in granite areas.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qinghua Yan, Shijing Zheng, Qingshan Zhang, Zhaoqiang Huang, Min Qi, and Fuzhong Xu "Lithodemic unit identification for Huashan rock mass based on aeromagnetic anomaly boundary enhancement", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128151G (15 November 2023); https://doi.org/10.1117/12.3010293

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