Primary Controlling Factors of Apatite Trace Element Composition and Implications for Exploration in Orogenic Gold Deposits
文献类型：期刊论文
| 作者 | Cao, Genshen2,4; Chen, Huayong2,3,4 ; Zhang, Yu1; Sun, Weipin2,4; Zhao, Junfeng2,4; Zhao, Hongtao1; Wang, Hao2,4
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| 刊名 | GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS
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| 出版日期 | 2024-07-01 |
| 卷号 | 25期号:7页码:20 |
| 关键词 | orogenic gold deposits apatite trace element machine learning |
| DOI | 10.1029/2024GC011574 |
| 英文摘要 | Significant and readily accessible orogenic gold deposits have been previously recognized, exploited, and progressively depleted. Innovative approaches are required to discover new and deeply buried deposits. Recently, trace element variations in apatite have been used to distinguish fertile and barren environments as reliable mineral exploration tools. In this study, machine learning models using Random Forest and Deep Neutral Network are utilized to assess the fertility of quartz veins and altered zones in the orogenic gold systems. The two models have been trained using trace element data of apatite, and the performance of both models yield good classification accuracy (similar to 90% on average) with low false positive rates. Feature importance analysis (Gini decrease and hidden layer weights) suggest that Pb, As, U, Sr, Eu, Mn, and Fe are the important parameters. Arsenic, U, Eu, Mn, and Fe are redox-sensitive elements, with their concentrations responding to changes in fluid redox conditions. Strontium primarily originates from the breakdown of plagioclase, which is more likely to occur under oxidizing fluid conditions. Therefore, we infer that the main controlling factor of the models is the redox conditions. The two distinct models consistently highlight the most significant contribution of Pb to this differentiation, even though Pb is not a redox-sensitive element and can only substitute for Ca2+ in apatite as Pb2+. We infer that the high contribution of Pb may be attributed to the potential transportation of Au in the form of a Pb-(Bi)-Au melt, and the Pb content in apatite is influenced by the Pb content in the melt, fluid oxygen, and sulfur fugacity. We also propose a novel discriminant plot using Linear Discriminant Analysis (LDA) to assess the mineralization potential in quartz veins and alteration zones based on apatite trace element data. The machine learning and LDA results suggest that apatite trace elements could be used effectively in the future orogenic gold deposit exploration. Random Forests and Deep Neutral Network models demonstrate effective discrimination among various apatite types in orogenic gold deposits The two distinct models consistently highlight the significant contribution of Pb to this differentiation A novel discriminant plot using Linear Discriminant Analysis (LDA) is proposed to assess the mineralization potential |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:001261277000001 |
| 源URL | [http://ir.gig.ac.cn/handle/344008/78255]  |
| 专题 | 中国科学院矿物学与成矿学重点实验室 |
| 通讯作者 | Chen, Huayong |
| 作者单位 | 1.Cent South Univ, Sch Geosci & Info Phys, Key Lab Metallogen Predict Nonferrous Met & Geol E, Changsha, Peoples R China 2.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China 3.Guangdong Prov Key Lab Mineral Phys & Mat, Guangzhou, Peoples R China 4.Chinese Acad Sci, Key Lab Mineral & Metallogeny, Guangzhou Inst Geochem, Guangzhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cao, Genshen,Chen, Huayong,Zhang, Yu,et al. Primary Controlling Factors of Apatite Trace Element Composition and Implications for Exploration in Orogenic Gold Deposits[J]. GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS,2024,25(7):20. |
| APA | Cao, Genshen.,Chen, Huayong.,Zhang, Yu.,Sun, Weipin.,Zhao, Junfeng.,...&Wang, Hao.(2024).Primary Controlling Factors of Apatite Trace Element Composition and Implications for Exploration in Orogenic Gold Deposits.GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS,25(7),20. |
| MLA | Cao, Genshen,et al."Primary Controlling Factors of Apatite Trace Element Composition and Implications for Exploration in Orogenic Gold Deposits".GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS 25.7(2024):20. |
入库方式： OAI收割
来源：广州地球化学研究所
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