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黄河兰州段城市河道表层沉积物重金属空间分布特征及来源解析
引用本文:李军,李旭,李开明,焦亮,臧飞,毛潇萱,潘文惠,米璇.黄河兰州段城市河道表层沉积物重金属空间分布特征及来源解析[J].环境科学,2023,44(5):2562-2573.
作者姓名:李军  李旭  李开明  焦亮  臧飞  毛潇萱  潘文惠  米璇
作者单位:兰州城市学院城市环境学院, 兰州 730070;西北师范大学甘肃省绿洲资源环境与可持续发展重点实验室, 兰州 730070;兰州大学草地农业科技学院, 兰州 730020;兰州大学资源环境学院甘肃省环境污染预警与控制重点实验室, 兰州 730000
基金项目:甘肃省科技计划项目(21JR1RA319);甘肃省绿洲资源环境与可持续发展重点实验室开放课题项目(GORS202102);国家自然科学基金项目(41661014)
摘    要:为研究黄河流域城市河道表层沉积物重金属污染特征和来源,以黄河兰州段为研究区,采集46个表层沉积物样品并测定了重金属Cr、Ni、Cu、Zn、As、Cd、Hg和Pb的含量.分别采用单因子污染指数(Pi)、地累积指数(Igeo)和沉积物污染指数(SPI)对这8种重金属污染特征和生态风险进行了评估,并利用相关性分析方法(CA)、正定矩阵因子分解法(PMF)和主成分分析/绝对主成分分数法(PCA/APCS)相结合的手段解析了表层沉积物中重金属的来源.结果表明,表层沉积物重金属平均含量除As之外,其余7种重金属的平均含量均高于兰州市和甘肃省土壤元素背景值;空间上,各重金属元素含量高值集中于河道拐弯处;单因子污染指数和地累积指数结果均表明,表层沉积物以Cr污染为主,Cd和Ni污染次之;沉积物污染指数结果表明,重金属生态风险等级为自然-低风险级别.研究区表层沉积物中Cr、Ni、Zn、As、Cd和Pb等重金属的主要来源为工农业混合源、自然源以及工业和交通活动复合源,贡献率分别为77.6%、11.4%和11%.

关 键 词:城市河道  沉积物  重金属  污染特征  来源解析
收稿时间:2022/6/8 0:00:00
修稿时间:2022/8/3 0:00:00

Spatial Distribution Characteristics and Source Analysis of Heavy Metals in Urban River Surface Sediments from the Lanzhou Reach of the Yellow River
LI Jun,LI Xu,LI Kai-ming,JIAO Liang,ZANG Fei,MAO Xiao-xuan,PAN Wen-hui,MI Xuan.Spatial Distribution Characteristics and Source Analysis of Heavy Metals in Urban River Surface Sediments from the Lanzhou Reach of the Yellow River[J].Chinese Journal of Environmental Science,2023,44(5):2562-2573.
Authors:LI Jun  LI Xu  LI Kai-ming  JIAO Liang  ZANG Fei  MAO Xiao-xuan  PAN Wen-hui  MI Xuan
Institution:College of Urban Environment, Lanzhou City University, Lanzhou 730070, China;Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou 730070, China;College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China;Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
Abstract:In order to investigate the contamination characteristics and potential sources of heavy metals from the urban river surface sediments in the Yellow River Basin, we selected the Lanzhou reach of the Yellow River as the object of investigation. A total of 46 surface sediment samples were collected along the Lanzhou reach of the Yellow River, and the contents of eight heavy metals, Cr, Ni, Cu, Zn, As, Cd, Hg, and Pb, were determined by using inductively coupled plasma mass spectrometry and an atomic fluorescence spectrometer. Contamination indexes including single factor pollution index (Pi) and geo-accumulation index (Igeo), together with the sediment pollution index (SPI), were used to assess heavy metal pollution characteristics and ecological risk levels in the urban river surface sediments of the Lanzhou reach of the Yellow River. Pearson''s correlation analysis (CA), positive matrix factorization (PMF), and principal component analysis/absolute principal component score (PCA/APCS) were jointly employed to quantitatively analyze pollution sources of heavy metals. The results showed that the mean concentrations of the majority of heavy metals exceeded their corresponding background values of Gansu Province and Lanzhou City with the exception of As, and the spatial distribution of high concentrations of heavy metals was mainly concentrated in the corner of the river. Based on the single factor pollution and geo-accumulation indexes of the eight heavy metals, in the Lanzhou reach of the Yellow River, Cr was the dominant pollution element in the urban river surface sediments, followed by Cd and Ni. Additionally, the SPI values for the eight heavy metals in the surface sediments ranged from 0.48 to 8.56, presenting natural to low ecological risk level. Furthermore, source apportionment revealed that a mixture source of industrial and agricultural activities (77.6%) was the largest contributor of Cr, Ni, Zn, As, Cd, and Pb in the urban river surface sediments, followed by natural sources (11.4%) and a mixed source of industrial and traffic activities (11%).
Keywords:urban river  sediments  heavy metals  contamination characteristics  source apportionment
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