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国际视角下新疆斑岩型铜矿研究综述

A Review on Prospecting Technology for Porphyry Copper Deposits in Xinjiang from an International Perspective

  • 摘要: 铜作为中国对外依存度较高的战略性矿产资源,其稳定供应对国家资源安全至关重要。斑岩型铜矿作为全球铜资源的主要来源之一,在中国新疆地区具有显著的成矿潜力与勘查价值。基于Web of Science (Wo S)数据库中2000—2025 年关于新疆斑岩型铜矿的研究文献,运用Cite Space、GIS 等软件进行文献计量与知识图谱分析,系统梳理了该领域在国际上的研究进展、合作网络、热点主题与发展趋势。结果表明:中国在该领域的研究占据主导地位,占总发文量的76.3 %,已形成以中国科学院为核心的紧密合作机构群;在国际层面,以Shen P in g 为代表的研究团队构成了关键学术网络。关键词共现与聚类分析识别出10 个主要研究方向,其中“西准噶尔”“东天山”“地球化学”“流体包裹体”等长期为研究重点,而“构造演化”“多元大数据”“热历史模拟”等成为近年来的前沿热点。通过可视化手段揭示了新疆斑岩型铜矿研究的演进路径,从早期区域地质背景探索,逐渐转向成矿过程微观机制与多源数据融合的智能找矿预测方法发展。研究成果可为新疆斑岩型铜矿的深部勘查、靶区优选与技术方法集成提供理论依据与文献支撑,助力实现找矿预测的系统化与智能化。

     

    Abstract: Copper is a strategic mineral resource with high external dependence in China, and its stable supply is crucial for national resource security. Porphyry copper deposits, as one of the most important sources of global copper resources, exhibit significant metallogenic potential and exploration value in Xinjiang, China. This study conducts a bibliometric and knowledge mapping analysis of research literature on Xinjiang porphyry copper deposits from 2000 to 2025 in the Web of Science (WoS) database using CiteSpace and GIS software. It systematically reviews the research progress, collaboration networks, hot topics, and development trends in this field from an international perspective. The results show that China dominates the research in this area, accounting for 76.3 % of the total publications, and has formed a close-knit institutional collaboration network centered on the Chinese Academy of Sciences. At the international level, the research team represented by Shen Ping constitutes a key academic network. Keyword co-occurrence and clustering analysis identified 10 main research directions, among which "West Junggar," "East Tianshan," "geochemistry," and "fluid inclusions" have long been research focuses, while "tectonic evolution," "multi-source big data," and "thermal history modeling" have emerged as recent frontiers. Through visualization, this study reveals the evolution of research on Xinjiang porphyry copper deposits, from early regional geological background exploration to the current focus on microscopic metallogenic mechanisms and intelligent prediction methods integrating multi-source data. The findings provide theoretical and literature support for deep exploration, target optimization, and technical integration in Xinjiang porphyry copper deposits, contributing to the systematization and intelligence of prospecting prediction.

     

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