广州周边地区地表水稀土元素污染特征及来源解析  

Characteristics and source of rare earth elements pollution in the surface waters of Guangzhou around and surrounding areas

作　　者：邓丽明 王园园 尹小玲 朱建喜[2,3] 林卓玲[1,3] 黄爱琳 DENG Liming;WANG Yuanyuan;YIN Xiaoling;ZHU Jianxi;LIN Zhuoling;HUANG Ailin(Guangdong Open Laboratory of Geospatial Information Technology and Application/Guangdong Provincial Key Laboratory of Remote Sensing and Geographical Information System,Guangzhou Institute of Geography,Guangdong Academy of Sciences,Guangzhou 510070,Guangdong,China;Guangdong Provincial Key Laboratory of Mineral Physics and Materials,Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640,Guangdong,China;University of Chinese Academy of Sciences,Beijing 100049,China;Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou),Guangzhou 511458,Guangdong,China;College of Marine Ecology and Environment,Shanghai Ocean University,Shanghai 201306,China)

机构地区：[1]广东省科学院广州地理研究所广东省地理空间信息技术与应用公共实验室/广东省遥感与地理信息系统应用重点实验室,广东广州510070 [2]中国科学院广州地球化学研究所广东省矿物物理与材料研究开发重点实验室,广东广州510460 [3]中国科学院大学,北京100049 [4]南方海洋科学与工程广东省实验室(广州),广东广州511458 [5]上海海洋大学海洋生态与环境学院,上海201306

出　　处：《地球化学》2024年第1期64-76,共13页Geochimica

基　　金：广东省基础与应用基础研究重大项目(2019B030302013);广东省科技计划项目(2020B1212060055);广东省基础与应用基础研究基金项目(2020A1515011068);广东省科学院战略性先导科技专项(2020GDASYL-20200301003)联合资助。

摘　　要：以广州市周边地区地表水为研究对象,测定地表水中溶解态稀土元素La、Ce、Pr、Nd、Sm、Eu、Gd、Tb、Dy、Ho、Er、Tm、Yb和Lu的浓度,采用单因子评价指数、内梅罗综合污染指数以及潜在生态风险指数对地表水中溶解态稀土元素进行污染和风险评价,通过APCS-MLR受体模型对广州市周边城区地表水中溶解态稀土元素的来源进行定量化解析,探究高度城市化的非矿区地表水中稀土元素的浓度分布特征。结果表明,研究区地表水溶解态稀土元素La、Ce、Nd、Pr、Gd、Dy、Sm、Er、Yb、Ho、Tb、Eu、Tm和Lu的平均浓度分别是背景值的6.97、5.15、4.06、4.58、1.58、1.71、1.14、1.26、1.22、1.67、1.33、0.47、0.83和0.80倍,表明广州市周边地区地表水中稀土元素可能存在富集现象,尤其是La、Ce、Nd和Pr等轻稀土元素。空间分布特征表明,稀土元素浓度较高的区域集中在位于广州市市内的石门山、黄山鲁和白云山,推断轻稀土元素浓度可能会受到城市中剧烈的人为活动影响。单因子污染指数结果表明,研究区地表水主要受轻稀土元素(La、Ce、Pr和Nd)污染;内梅罗综合污染指数分析表明,石门山、罗浮山、白云山和黄山鲁采样区地表水中稀土元素属于重度污染水平。潜在生态风险评价结果表明,轻稀土元素La、Ce、Pr和Nd为主要污染因子,石门山、白云山和黄山鲁采样区地表水中稀土元素污染属于中度风险水平;罗浮山和帽峰山属于低风险水平。皮尔逊相关性分析显示研究区地表水中稀土元素之间存在较强的相关性;由APCS-MLR受体模型分析得出2个主要污染源(源1和源2)和未解析源(源3),源1为自然源,贡献率为80.96%~99.12%,为研究区地表水稀土元素的主要来源;源2为人为源,主要由交通运输、工业活动等引起,其贡献率为0.32%~8.67%,是研究区地表水稀土元素的第二大来源。In this study,the concentrations of dissolved REE in the surface waters of Guangzhou and surrounding areas were determined,and the pollution and risk assessment of dissolved REE in the surface waters were evaluated using the single factor evaluation index,Nemerow comprehensive pollution index,and potential ecological risk index.The APCS-MLR receptor model was used to quantify the sources of dissolved REE in surface waters of Guangzhou and surrounding areas and to explore the distribution characteristics of REE in surface waters in highly urbanized non-mining areas.The results showed that the average concentrations of dissolved La,Ce,Nd,Pr,Gd,Dy,Sm,Er,Yb,Ho,Tb,Eu,Tm,and Lu in the surface waters in the study area were 6.97,5.15,4.06,4.58,1.58,1.71,1.14,1.26,1.22,1.67,1.33,0.47,0.83,and 0.80 times of the background values,respectively.The results indicate that there may be enrichment of REE in surface waters in the study area,especially LREE,such as Ce,La,Nd and Pr.The spatial distribution characteristics show that the areas with higher REE concentrations were concentrated in Shimen Mountain,Huangshan Lu,and Baiyun Mountain in Guangzhou,and it is inferred that the concentrations of LREE may be affected by intense human activities in the city.The results of the single-factor pollution index showed that the surface waters in the study area were mainly polluted by LREE(La,Ce,Pr and Nd),which belonged to the heavy pollution level.The results of the potential ecological risk assessment showed that LREE(La,Ce,Pr and Nd)were the main pollution factors.The REE in the surface waters of Shimen Mountain,Baiyun Mountain,and Huangshan Lu sampling area belonged to medium risk;Luofu Mountain and Maofeng Mountain belonged to low risk level.Pearson correlation analysis showed that there was a strong correlation between REE in the surface waters of the study area.According to the analysis of APCS-MLR receptor model,two main pollution sources(source 1 and source 2)and unresolved sources(source 3)were obtained.Source 1 was a natural so

关 键 词：高度城市化地区 溶解态稀土元素 污染特征 潜在生态风险 APCS-MLR受体模型 

分 类 号：P592[天文地球—地球化学] P595[天文地球—地质学]