关键词: 锂矿, 地质特征, 三维建模, 成矿规律

Abstract: In view of the low research level of granite-type low-grade hard rock lithium deposits，in order to clarify the metallogenic regularity of such deposits and improve the regional prospecting ideas，the Zhengchong super-large lithium deposit in Dao County，Hunan Province is taken as the research object. Based on the results of field geological exploration，rock geochemical test data and Leapfrog three-dimen⁃ sional implicit modeling technology，the geological characteristics of the deposit are systematically summa⁃ rized，and the metallogenic mechanism and prospecting potential are deeply analyzed. The research shows that the mine is a super-large greisen-type hard rock lithium mine. The cumulative amount of Li2O resourc⁃ es is over 3.4×105 t. The average grade of the ore body is 0.43%，and the industrial development can be re⁃ alized when the Li2O grade is over 0.25%. It is a typical case of low-grade and large-scale lithium explora⁃ tion and development in South China. The north-south main faults in the mining area control the distribu⁃ tion of greisen body. The greisen body has the dual attributes of ore-forming surrounding rock and ore�bearing rock mass，and the iron-lithium mica is the core lithium-bearing mineral. The ore-forming fluid is characterized by high differentiation and multi-stage superposition. Li-F-rich magmatic hydrothermal solu⁃ tion is the key to mineralization. Through ultra-shallow blasting，diagenesis and mineralization are real⁃ ized，and a planar and vein-like composite mineralization system is formed. The convex part of the contact zone of the rock mass is the optimal metallogenic site，and the Zhengchong-Pangxiemu area is the key prospecting area. This study clarifies its metallogenic mechanism，which can provide guidance for prospect⁃ing in the deep and periphery of the mining area，and also provide reference for the exploration of the same type of low-grade hard rock lithium deposits in South China.

Key words: lithium mine, geological characteristics, three-dimensional modeling, ore-forming regu? larity