气候变化领域集成服务门户(CCPortal): A New Anisotropic Singularity Algorithm to Characterize Geo-Chemical Anomalies in the Duolong Mineral District, Tibet, China

CCPortal

DOI	10.3390/min13070988
	A New Anisotropic Singularity Algorithm to Characterize Geo-Chemical Anomalies in the Duolong Mineral District, Tibet, China
	Tang, Jie; Wang, Wenlei; Yuan, Changjiang
发表日期	2023
EISSN	2075-163X
卷号	13 期号:7
英文摘要	With the increasing exploitation of mineral resources by humans, exploring non-traditional areas for hidden resources such as deep earth and sediment-covered regions has become a significant challenge in the field of mineral exploration. Geochemical data, as a crucial information carrier of geological bodies, serves as one of the direct and effective sources for quantitative analysis of regional geological evolution and mineralization prediction studies. It plays an indispensable role in geographic information system (GIS)-based mineral exploration. Due to the neglect of spatial distribution characteristics and the variability of statistical features with spatial metrics in traditional statistical methods, this paper employs fractal/multifractal and the local singularity analysis to identify geochemical anomalies from background and characterize geochemical distributions associated with porphyry Cu-Au mineralization in the Duolong mineral district, Tibet, China. A novel algorithm for estimating the singularity index, which takes anisotropy into consideration, is proposed and practically applied to the Duolong district. By comparing with the isotropic singularity index, this new method objectively identifies anisotropic geochemical signatures and investigates non-linear behaviors of ore-forming elements, making it more practical and effective in geo-anomaly extraction. Furthermore, the current method is capable of indicating variations in geochemical distributions at different scales through directional arrows marking analytical windows. The summed-up direction of these multi-scale vectors effectively demonstrates migration trends of ore materials at each location within the study area. The new method can pinpoint the location of ore-forming element accumulation and migration directions, unlocking valuable insights from complex datasets. This promises to revolutionize our understanding of how minerals are formed and distributed within the Earth's crust.
关键词	geochemical distribution nonlinear process singularity fractal multifractal anisotropy
英文关键词	SOUTHEASTERN YUNNAN DISTRICT; HF ISOTOPIC COMPOSITIONS; EPITHERMAL CU-AU; GEOCHEMICAL ANOMALIES; DIGITAL GEOSCIENCES; AG DEPOSIT; EXPLORATION; EVOLUTION; GEOCHRONOLOGY; OCEAN
WOS研究方向	Geochemistry & Geophysics ; Mineralogy ; Mining & Mineral Processing
WOS记录号	WOS:001036562200001
来源期刊	MINERALS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/283215
作者单位	China Geological Survey; Chinese Academy of Geological Sciences; Institute of Geomechanics, Chinese Academy of Geological Sciences; China University of Geosciences - Beijing
推荐引用方式 GB/T 7714	Tang, Jie,Wang, Wenlei,Yuan, Changjiang. A New Anisotropic Singularity Algorithm to Characterize Geo-Chemical Anomalies in the Duolong Mineral District, Tibet, China[J],2023,13(7).
APA	Tang, Jie,Wang, Wenlei,&Yuan, Changjiang.(2023).A New Anisotropic Singularity Algorithm to Characterize Geo-Chemical Anomalies in the Duolong Mineral District, Tibet, China.MINERALS,13(7).
MLA	Tang, Jie,et al."A New Anisotropic Singularity Algorithm to Characterize Geo-Chemical Anomalies in the Duolong Mineral District, Tibet, China".MINERALS 13.7(2023).