| 多维度矿床学研究:现状与未来展望 |
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| 引用本文： | 陈华勇,程佳敏,张俊岭.多维度矿床学研究:现状与未来展望[J].地质科技通报,2022,41(5):1-4. |
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| 作者姓名： | 陈华勇 程佳敏 张俊岭 |
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| 作者单位： | 1.中国科学院广州地球化学研究所中国科学院矿物学与成矿学重点实验室,广州 510640 |
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| 基金项目： | 国家杰出青年科学基金项目41725009广东省重点实验室项目2017B030314175 |
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| 摘 要： | 21世纪以来,人类正在逐步进入科学技术与社会发展的高速通道,各个科技领域均在发生深刻的变革。现代矿床学经历了百余年的发展和积累,建立了多种不同类型的成矿模式。然而,这些成矿模式的建立主要是通过典型矿床实例研究的“单维度”方法完成的,无论是成矿机制研究本身还是找矿勘查的需求都正在对传统成矿模式研究方式提出挑战。随着以大数据和人工智能为标志的第四次工业革命开始逐步影响基础科学领域,计算模拟和大数据挖掘等技术手段也促使矿床模式的研究进入到一个新的发展阶段。成矿实验和计算模拟、矿床剥蚀保存机制以及成矿规律大数据挖掘等研究方向,与传统矿床实例解剖研究一起,将构成未来我们对成矿模式研究的综合方法。矿床学研究也将由当前的“单维度”走向未来“多维度”的综合研究体系。
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| 关 键 词： | 矿床学 矿床模式研究 多维度研究体系 第四次工业革命 |
| 收稿时间： | 2022-08-01 |
Multidimensional study of ore deposits: Current status and future prospects |
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| Affiliation: | 1.Key Laboratory of Mineralogy and Metallogeny, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China2.Guangdong Provincial Key Laboratory of Mineral Physics and Minerals, Guangzhou 510640, China3.College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | Since entering the 21st century, human society, including science and technology, has experienced dramatic changes in different fields. The ore deposit study has been continued for over 100 years, and many ore deposit models have been established based on numerous deposit case studies, which can be called the "single-dimension" study method. However, such modeling processes are being challenged by the need for further understanding of ore genesis and implications for mineral exploration. With the involvement of new technology such as big data and AI in geosciences, computing, simulation and big data mining are promoting ore deposit modeling to a new development stage. In the future, the experiments of ore-forming processes facilitated by computing and simulation, the mechanism and evolution of erosion and preservation of ore deposits, the genesis of ore formation using big data analysis and AI technology, together with the traditional ore deposit case studies, will form the new research frame of comprehensive ore deposit modeling, which indicates a transition from the current "single-dimension" study to a more robust "multiple-dimension" study of ore deposits. |
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