地学前缘 ›› 2018, Vol. 25 ›› Issue (3): 31-49.DOI: 10.13745/j.esf.2018.03.003

• 贵金属与有色金属 • 上一篇    下一篇

中国铅锌矿产资源成矿特征与资源潜力评价

唐攀科,王春艳,梅友松,郝玉军,吴碧娟,管友飞,段建良   

  1. 1. 有色金属矿产地质调查中心, 北京 100012
    2. 北京矿产地质研究院, 北京 100012
  • 收稿日期:2017-11-25 修回日期:2018-03-15 出版日期:2018-05-15 发布日期:2018-05-15
  • 作者简介:唐攀科(1979—),男,博士,教授级高级工程师,主要从事矿床地质、矿产预测研究。E-mail:tangpanke@163.com
  • 基金资助:
    中国地质调查局地质调查项目(1212010633905;1212010733806;1212011121040)

Study on metallogenic characteristics and potential assessment of lead-zinc mineral resources in China.

TANG Panke,WANG Chunyan,MEI Yousong,HAO Yujun,WU Bijuan,GUAN Youfei,DUAN Jianliang   

  1. 1. China Nonferrous Metals Geology Survey, Beijing 100012, China
    2. Beijing Institute of Geology for Mineral Resources, Beijing 100012, China
  • Received:2017-11-25 Revised:2018-03-15 Online:2018-05-15 Published:2018-05-15

摘要: 近年来经济的快速发展导致铅锌矿产资源需求大量增加,使得我国的铅锌资源储备形势依然严峻。基于此,在全国开展铅锌矿产资源潜力评价工作,通过总结铅锌矿地质矿产成果,掌握铅锌矿产资源现状,预测未查明的铅锌矿产资源潜力,能够更好地满足未来铅锌矿产资源规划部署及合理利用的需要。在系统梳理全国29个省级行政单位铅锌矿产资源潜力评价成果的基础上,总结中国铅锌矿时空分布规律特征,结合传统的矿床模型以及全国重要矿产预测类型划分方案划分了铅锌矿矿产预测类型,将全国铅锌矿划分为9类矿产预测类型,分别是层控碳酸盐岩型(MVT)、碳酸盐岩细碎屑岩型(SEDEX)、砂砾岩型、沉积改造型、陆相火山岩型、海相火山岩型、岩浆热液型、夕卡岩型和风化壳型;分析了重要成矿区带的铅锌矿矿产预测类型、成矿时代,总结了各成矿区带主要类型铅锌矿区域预测要素,建立了主要类型铅锌矿区域预测模型。结合全国大地构造相图、全国成矿区带图以及全国各级预测区分布图等资料,划分了15个铅锌矿成矿省和47个Ⅲ级成矿区带,以成矿省(成矿区带)为主线开展矿产资源潜力评价和预测工作,为勘查部署提供依据。

关键词: 铅锌矿, 成矿区带, 矿产预测类型, 预测模型, 矿产资源潜力评价

Abstract: The rapid economic development in recent years has led to the increased demand for leadzinc mineral resources, putting huge pressure on Chinas leadzinc reserves. Therefore, a nationwide comprehensive assessment on the status of leadzinc geological survey and mineral prospecting is much needed to aid future resource management in areas of resource prediction, identification, deployment and rational utilization. Here, we performed comprehensive analyses on the metallogenic, geological and spatiotemporal distribution characteristics of leadzinc deposits in 29 provinces, using the classification scheme developed in the national key mineral resources potential assessment project. We divided the prediction types of leadzinc deposits into nine types according to traditional ore deposit model, namely the stratabound carbonate (MVT), carbonate to fine clastic rock (SEDEX), glutenite, sedimentaryreworked, continental volcanic, marine volcanic, magmatic hydrothermal, skarn and weathering crust types. We also analyzed the prediction types and metallogenic epoch of leadzinc deposits in key metallogenic belts, documented the regional prediction factors of main leadzinc deposits in each metallogenic belt, and established the main regional prediction models for leadzinc deposits. Incorporating tectofacies, metallogenic belts and forecasting area distribution maps of China, we identified 15 metallogenic provinces and 47 levelⅢ leadzinc metallogenic zones, where mineral resource potential evaluation and prediction were performed. Our work provided a framework for future leadzinc prospecting.

Key words:  leadzinc deposits, metallogenic zone, mineral prediction type, prediction model, mineral resource potential assessment

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