江南造山带中段巨型花岗岩型锂矿集区水系沉积物异常信息提取

    Extraction of geochemical anomalies from stream sediments in the giant granite-hosted lithium ore cluster within the middle segment of the Jiangnan Orogen

    • 摘要: 近年来,江西宜丰—奉新地区花岗岩型锂矿勘查取得了巨大突破,已成为我国重要的锂矿集区之一,但锂矿相关找矿技术方法应用及成果报道极少。本文利用宜丰—奉新地区1∶5万水系沉积物地球化学测量的2 343件样品,分析统计了20余种元素的地球化学参数特征,确定Be、Li、Nb、Rb和Sn为与锂矿床成矿及伴生有关的元素,其中Li和Sn等元素具有强富集、强分异特征;进一步通过聚类分析和因子分析等统计方法,将5种元素划分为Rb-Be、Li-Sn和Nb 3个组合,采用迭代法对宜丰—奉新地区水系沉积物测量数据进行处理分析,确定异常下限,并研究单元素地球化学异常和组合元素地球化学异常;Li作为主成矿元素,异常主要位于测区北部和北东部,异常显著且规模大,浓集中心位于白云母花岗岩出露区域,Li-Sn作为花岗岩型锂矿床的指示元素组合,与矿体分布部位吻合,表明水系沉积物测量Li-Sn组合异常可定位花岗岩型锂矿床的分布。结合1∶5万水系沉积物测量异常特征,在外围圈定了2处找矿远景区,为下一步锂矿勘查指明方向。

       

      Abstract: In recent years, the Yifeng-Fengxin area of Jiangxi Province has witnessed significant breakthroughs in the exploration of granite-hosted lithium deposits, making it one of China's significant lithium ore clusters. However, there have been few reports on the application and achievements of lithium-related techniques. Focusing on 2,343 stream sediment samples from a 1∶50,000 geochemical survey in the Yifeng-Fengxin area, this study statistically analyzed geochemical parameters of over 20 elements. Subsequently, beryllium (Be), lithium (Li), niobium (Nb), rubidium (Rb), and tin (Sn) were determined as elements related to the mineralization and association of lithium deposit. Among these, Li and Sn showed strong enrichment and significant differentiation. Using statistical methods such as cluster and factor analyses, the five elements were further grouped into three assemblages: Rb-Be, Li-Sn, and Nb. Besides, this study processed and analyzed the stream sediment data from the Yifeng-Fengxin area using the iterative method, determining the lower threshold of both geochemical anomalies. Then, single-element and multi-element geochemical anomalies were investigated, with lithium identified as the primary ore-forming element. These anomalies, featuring prominence and large scale, were primarily situated in the northern and northeastern parts of the survey area, with concentration centers located in muscovite granite outcrops. The Li-Sn assemblage, serving as an indicator for granite-hosted lithium deposits, coincides well with the distribution of ore bodies. This confirms that Li-Sn assemblage anomalies in stream sediments can effectively delineate granite-hosted lithium deposits. Based on the anomaly characteristics from the 1∶50,000 stream sediment survey, two prospect areas were delineated in the periphery, providing guidance for further lithium exploration.

       

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