地学前缘 ›› 2018, Vol. 25 ›› Issue (3): 82-94.DOI: 10.13745/j.esf.2018.03.007

• 贵金属与有色金属 • 上一篇    下一篇

中国铝土矿资源潜力预测评价

孙莉,肖克炎,德波   

  1. 中国地质科学院 矿产资源研究所 国土资源部成矿作用与资源评价重点实验室, 北京 100037
  • 收稿日期:2017-12-15 修回日期:2018-03-30 出版日期:2018-05-15 发布日期:2018-05-15
  • 作者简介:孙莉(1981—),女,博士,高级工程师,主要从事数学地质学及矿产资源评价研究。E-mail:sunli0727@163.com
  • 基金资助:
    国家重点研发计划项目(2016YFC0600504);中国地质调查局地质调查项目“全国矿产资源潜力动态评价”(DD20160100)

Mineral prospectivity of bauxite resources in China.

SUN Li,XIAO Keyan,LOU Debo   

  1. MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China
  • Received:2017-12-15 Revised:2018-03-30 Online:2018-05-15 Published:2018-05-15

摘要: 铝土矿是铝的主要来源,我国铝土矿的产量和储量均居世界前列。为摸清我国铝土矿资源家底,制定合理的经济产业政策,需要对铝土矿资源潜力进行准确预测。我国铝土矿可分为沉积型、堆积型和红土型,以沉积型为主,占总资源储量的80%以上。沉积型主要成矿时代为石炭纪和二叠纪,而堆积型和红土型为第四纪。铝土矿的成矿与碳酸盐岩和基性岩基底有关,受岩相古地理条件、古气候条件、古地貌等条件控制。在地质研究基础上,划分了18个铝土矿成矿区带,其中山西断隆区、华北陆块南缘、桂西南、桂中南、黔中等为最重要的成矿区带。在典型矿床研究的基础上,分析了三种类型铝土矿的预测要素,并建立了预测模型.采用矿床模型综合地质信息预测方法,利用计算机信息技术(特别是GIS技术),挖掘成矿信息,编制预测要素图,并采用成矿地质体体积法估算了2 000 m深度以浅预测资源量。预测结果表明:我国铝土矿1 000 m深度以浅有较大找矿潜力,目前资源查明率仅为35.6%,除河南、广西、山西、贵州等资源大省外,云南、重庆、山东、河北、陕西也具较大的找矿远景。预测结果为铝土矿勘查工作部署提供了科学依据。

关键词: 铝土矿, 预测资源量, 潜力区, 地质参数体积法, 成矿区带

Abstract: Bauxite is the main source of aluminum and China ranks among highest in bauxite production and reserve in the world. In order to evaluate Chinas total bauxite resources and to make rational industrial policy, it is necessary to assess bauxite resource potential. Bauxite deposits in China can be classified into sedimentary, accumulative and lateritic types, of which sedimentary bauxite is the dominant one accounting for more than 80% of the total resource. The main ore forming epochs of sedimentary type are Carbonaceous and Permian while accumulative and lateritic types primarily occured in the Quaternary. The genesis of bauxite is closely related to carbonate or mafic basement and controlled by lithofacies paleogeography, paleoclimate, palaeogeomorphology and other factors. In this work, we delineated 18 metallogenic belts based on geological data, recognizing the Shanxi fault lift, southern margin of the North China Craton, and the southwest Guangxi, central south Guangxi and central Guizhou areas as the most important bauxite metallogenic belts. In addition, we analyzed prediction factors of 3 types of bauxite deposits and built prediction models for typical deposits. We assessed bauxite resources using ore deposit model combined with synthetic information prediction method, i.e., using information technology (especially GIS) to extract mineralization information and compile maps of prediction factors for quantitative prediction. We applied oreforming geological body volumetric method to estimate potential resources to the depth of 2000 m below surface. The results showed that the mineralization potential was still great up to 1000 m below surface and the identified resources to date accounts for only 35.6% of total bauxite resources. In addition to Henan, Guangxi, Shanxi and Guizhou provinces, Yunnan, Chongqing, Shandong, Shaanxi and Hebei provinces also have great aluminum mineralization potential. Our prediction results provided scientific evidence for future bauxite exploration.

Key words: bauxite, predicted resource, prospective area, oreforming geologic body volumetric method, metallogenic belts

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