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“河-湖”沉积物重金属环境特征及来源解析
引用本文:李悦昭,陈海洋,孙文超.“河-湖”沉积物重金属环境特征及来源解析[J].环境科学,2020,41(6):2646-2652.
作者姓名:李悦昭  陈海洋  孙文超
作者单位:北京师范大学水科学研究院, 教育部地下水污染控制与修复工程研究中心, 北京 100875,北京师范大学水科学研究院, 教育部地下水污染控制与修复工程研究中心, 北京 100875,北京师范大学水科学研究院, 教育部地下水污染控制与修复工程研究中心, 北京 100875
基金项目:北京市地表科学高精尖项目;国家水环境监测监控及业务化平台技术研究课题项目;国家重点研发计划项目
摘    要:以府河及其受纳湖泊为研究对象,辨识"河-湖"系统沉积物中重金属的空间分布、地球化学特征和生态风险,利用正定矩阵因子分解模型(PMF)解析沉积物中重金属的潜在来源.结果表明,该"河-湖"系统沉积物中主要金属污染物为Cd、Cu和Zn,且Cd存在生态风险.与受纳湖体相比,府河污染水平及风险程度更高.湖体空间分析显示,河流入口呈现更高的金属含量及风险水平.PMF分析表明,研究区沉积物重金属主要受到人为活动的影响(55.7%),包括工业排放(20.3%)、化肥施用(19.5%)和水产养殖(15.9%).

关 键 词:重金属  正定矩阵因子分解(PMF)  地球化学特征  生态风险  河-湖系统
收稿时间:2019/10/28 0:00:00
修稿时间:2019/12/30 0:00:00

Environmental Characteristics and Source Apportionment of Heavy Metals in the Sediments of a River-Lake System
LI Yue-zhao,CHEN Hai-yang,SUN Wen-chao.Environmental Characteristics and Source Apportionment of Heavy Metals in the Sediments of a River-Lake System[J].Chinese Journal of Environmental Science,2020,41(6):2646-2652.
Authors:LI Yue-zhao  CHEN Hai-yang  SUN Wen-chao
Institution:Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, College of Water Sciences, Beijing Normal University, Beijing 100875, China
Abstract:In this study, the geochemical characteristics and ecological risks of heavy metals in the sediments of a river-lake system were comprehensively identified and the spatial distribution was analyzed. Meanwhile, the potential sources of heavy metals in the sediments were apportioned using the positive matrix factorization model (PMF). The elements Cd, Cu, and Zn were identified as the main pollutants in the sediments of the river-lake system; in particular, Cd indicated an ecological risk. Compared with receiving lakes, the river is more polluted and poses a more significant risk. Spatial analysis of the lake suggested that the entrance of rivers had a relatively higher pollution degree and risk, indicating that rivers may be an important channel to transfer pollutants into the lake. PMF modelling showed that the heavy metals in the sediments were mainly associated with human activities (55.7%), including industrial emissions (20.3%), fertilizer application (19.5%), and aquaculture (15.9%).
Keywords:heavy metals  positive matrix factorization(PMF)  geochemical characteristics  ecological risk  river-lake system
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