摘要
锂、铍、铌钽是重要的战略性关键金属矿产资源。依托国家重点研发计划项目“锂、铍等战略性金属矿产资源成矿规律与预测评价”,本专辑收录19篇锂铍铌钽矿产资源领域的论文,主要涉及三方面的研究成果。(1)揭示出锂辉石、绿柱石等锂铍矿物的形成经历了岩浆和热液两阶段,其组成可以指示伟晶岩熔体的演化过程和成矿条件。(2)从典型矿床、重要矿集区和成矿带三个层次剖析了锂铍矿床的成矿规律,发现了硬岩型和粘土型、卤水型锂资源存在内-外生循环关系。(3)基于大岩基式“体中体”型花岗岩-伟晶岩成矿模型,建立了高植被覆盖区稀有金属伟晶岩找矿的方法组合,在幕阜山东南缘发现了黄柏山锂辉石矿床;厘定出包括工艺矿物学指标的锂铍铌钽资源综合评价指标体系。
Lithium,beryllium and niobium-tantalum are strategic crucial key metal mineral resources.Supported by the National Key Research and Development Program“Metallogenic regularity and evaluation prediction of strategic metal mineral resources such as lithium and beryllium”,this special issue comprises 19 scientific papers in the field of lithium,beryllium and niobium-tantalum mineral resources,and mainly involving three research aspects.(1)It is revealed that the formation of lithium-beryllium minerals,such as spodumene and beryl,has gone through two stages of magma and hydrothermal,and their composition can indicate the evolution process and mineralization conditions of pegmatitic melt.(2)The metallogenic regularity of lithium-beryllium deposits is analyzed from three levels:typical deposits,significant ore concentration areas and metallogenic belts.It is found that there is an endogenic-exogenic cycle relationship among hard rock type,clay type and brine type lithium resources.(3)Based on the large batholith-type“body-in-body”granite-pegmatite metallogenic model,the Huangbaishan spodumene deposit is discovered in the southeastern region of Mufushan by applying the combination of high coverage rare metal pegmatite prospecting methods.The comprehensive evaluation index system of lithium,beryllium and niobium-tantalum resources including process mineralogy indexes is determined.
作者
李建康
李鹏
陈振宇
LI JianKang;LI Peng;CHEN ZhenYu(Institute of Mineral Resources,Chinese Academy of Geological Sciences,Beijing 100037,China)
出处
《岩石学报》
SCIE
EI
CAS
CSCD
北大核心
2023年第7期1881-1886,共6页
Acta Petrologica Sinica
基金
国家重点研发计划项目(2019YFC0605200)资助.
关键词
锂铍铌钽矿床
矿物学
花岗伟晶岩
成矿规律
矿产资源预测评价
Lithium-beryllium-niobium-tantalum deposit
Mineralogy
Granitic pegmatite
Metallogenic regularity
Prediction and assessment of mineral resources