罗北凹地富钾卤水中锂、硼的空间分布和富集规律研究
Study on the Spatial Distributionand Enrichment Regularity of Lithium and Boron in Potassium-rich Brinein Luobei Depression
  
DOI:10.12119/j.yhyj.202402007
中文关键词:  罗北凹地  锂( Li)  硼( B)  SOM-KM  富集规律
英文关键词:Luobeidepression  Li  B  SOM-KM  Enrichmentregularity
基金项目:新疆维吾尔自治区科技支疆项目计划(指令性)项目( 2021E02038)
作者单位E-mail
韩绪 中化地质矿山总局究院北京 100101 地质研 1962185993@qq.com 
张凡凯 国投新疆罗布泊钾盐有限责任公司新疆哈密 839000  
李博昀 中化地质矿山总局究院北京 100101 地质研  
邓宇飞 中化地质矿山总局究院北京 100101 地质研  
王凌芬 中化地质矿山总局究院北京 100101 地质研  
于咏梅 国投新疆罗布泊钾盐有限责任公司新疆哈密 839000  
李文学 国投新疆罗布泊钾盐有限责任公司新疆哈密 839000  
李雪宁 中化地质矿山总局究院北京 100101 地质研  
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中文摘要:
      文章基于自组织神经网络( SOM)和 Kmeans耦合( SOM-KM)方法,利用罗北凹地 65组富钾卤水水化学数据,对富钾卤水中锂( Li)和硼( B)资源空间分布和富集规律进行了系统性研究。研究发现富钾卤水中 Li,B含量表现出一定的垂向分异性,自上而下 B浓度增高, Li浓度降低。聚类结果表明,罗北凹地富钾卤水可聚为 4类,各类地下水中 Li、 B浓度具有明显的空间差异性,高浓度的 Li、B集中分布在罗北凹地中东部区域。此外,水化学特征离子分析结果表明,罗北凹地富钾卤水中 Li、B元素富集主要受到蒸发浓缩及盐岩溶滤作用控制。
英文摘要:
      Based on self-organizing neural network(SOM)andKmeans(SOM-KM)coupling method,the spatial distribution and enrichment of Li and B resources in potassium-rich brine were systematically stud-ied by using 65 groups of potassium-rich brine hydrochemical data in Luobei depression. The study found thatthe concentration ofLi andBin potassium-richbrine showed acertain verticaldifferentiation. From top to bottom,the concentration ofBincreased andthe concentration of decreased.The clustering results show that the potassium-rich brine in the Luobei depression can be clustered into four categories. The concentra-tions ofLi andBin various groundwater have obvious spatialdifferences,andthe high concentrations ofLi and B are concentrated in the central and eastern regions of the Luobei depression. In addition,the results of hydrochemical characteristic ion analysis show that the enrichment of Li and B elements in potassium-richbrineinLuobeidepressionismainlycontrolledbyevaporationconcentrationandsaltrocklixiviation.
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