摘要
以淮北临涣采煤沉陷区地表水为研究对象,共采集6个地表沉陷区积水样品、13个河水样品,采用ICP-MS测定样品中稀土元素含量,分析了水中稀土元素分配模式,利用化学平衡软件MINTEQ(3.1版)计算了水体中稀土元素络合方式。结果表明:研究区地表水中∑REE含量较低,平均含量为0.2121μg·L^-1,其中沉陷区积水、河水中∑REE平均值分别为0.1967和0.2532μg·L^-1;水体呈现富轻稀土元素特征,轻稀土/重稀土比值达到1.55,并呈现出显著的Ce负异常及Eu正异常,河水中(La/Yb)N与pH,HCO3-有较为显著的相关性,但沉陷区水中(La/Yb)N与pH,HCO3-相关性不明显;模拟计算结果显示,河水及沉陷区水的Ln(CO3)2-碳酸盐无机络合形式平均占比在90%以上,其次是LnCO3+络合形式;pH值,Na+,Ca^2+,Mg^2+等常量阳离子浓度会影响REE的迁移,偏碱性的水化学性质会影响REE的分异。
The concentrations of the dissolved rare earth elements were determined in surface water at the Linhuan coal mining subsidence by using the inductively coupled plasma mass spectrometry.The results showed that the water is an alkaline and has high pH from 7.87 to 9.11 and high carbonate concentrations.The water displays low dissolved REEs content,the REE concentrations of the river and the coal mining subsidence area are 0.2532 and 0.1967μg L^-1.The samples enrich in LREE,and the shale(PAAS)normalized patterns of dissolved REEs show negative Ce and positive Eu anomalies,respectively.The former factor controlling(La/Yb)N is pH value and HCOj which is positive correlated with(La/Yb)Inorganic speciation of dissolved REEs were calculated for the surface water by using the program MINTEQ(3.1),the result showed that REE-Carbonate complexes,which account for more than 90%of total REEs,due to high concentration of carbonate ion and alkaline character of water chemistry.The transformation of REEs could be effected by pH and the concentrations of Na^+,Ca^2+and Mg^2+.
作者
王志山
郑刘根
董祥林
魏祥平
姜春露
陈星
Wang Zhishan;Zheng Liugen;Dong Xianglin;Wei Xiangping;Jiang Chunlu;Chen Xing(Collaborative Innovation Center for Mines Environmental Remediation and Wetland Ecological Swcurity,School of Resource and Environment Engineering,Anhui University,Hefei 230601,China;Huaibei Mining(Group)Co.,Ltd.Anti-piping and Measuring Department,Huaibei 235000,China)
出处
《中国稀土学报》
CAS
CSCD
北大核心
2019年第5期617-624,I0004,共9页
Journal of the Chinese Society of Rare Earths
基金
国家自然科学基金资助项目(41373108,41702176)
淮北矿业集团有限责任公司科技项目(HK-2018-1)
安徽省交通航务工程有限公司科技开发项目(JTHW-2017K1)资助
