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北运河流域沙河水库沉积物重金属分布及生态风险评估
引用本文:杨颖,孙文,刘吉宝,解立平,魏源送,朱利英,张俊亚,吴晋峰,赵洪桥,徐长贵.北运河流域沙河水库沉积物重金属分布及生态风险评估[J].环境科学学报,2021,41(1):217-227.
作者姓名:杨颖  孙文  刘吉宝  解立平  魏源送  朱利英  张俊亚  吴晋峰  赵洪桥  徐长贵
作者单位:天津工业大学,环境科学与工程学院,天津300387;中国科学院生态环境研究中心,水污染控制实验室,北京100085;中国科学院生态环境研究中心,水污染控制实验室,北京100085;天津工业大学,环境科学与工程学院,天津300387;中国科学院生态环境研究中心,水污染控制实验室,北京100085;中国科学院生态环境研究中心,环境模拟与污染控制国家重点联合实验室,北京100085;中国科学院大学,北京100049;北京市昌平区水务局南沙河管理处,北京102200;北京市昌平区响潭水库管理处,北京102200;北京市昌平区沙河闸管理处,北京102200
基金项目:国家水体污染控制与治理科技重大专项项目(No.2017ZX07102,2017ZX07102-002)
摘    要:以北运河流域沙河水库为研究对象,选择19个点采集表层(0-20 cm)沉积物,并选择其中3个点采集沉积物柱芯,分析沉积物中As、Cd、Cu、Mn、Ni、Pb、Zn共7种重金属的空间分布特征,采用地累积指数法、潜在生态风险指数法和风险评价编码法对重金属污染进行评价,结合表层沉积物的重金属形态分析其潜在生态风险.结果表明,...

关 键 词:沉积物  重金属  空间分布  污染评价  形态特征
收稿时间:2020/9/5 0:00:00
修稿时间:2020/11/23 0:00:00

Distribution and ecological risk assessment of heavy metals in sediments of Shahe Reservoir in Northern Canal Basin
YANG Ying,SUN Wen,LIU Jibao,XIE Liping,WEI Yuansong,ZHU Liying,ZHANG Juny,WU Jinfeng,ZHAO Hongqiao,XU Changgui.Distribution and ecological risk assessment of heavy metals in sediments of Shahe Reservoir in Northern Canal Basin[J].Acta Scientiae Circumstantiae,2021,41(1):217-227.
Authors:YANG Ying  SUN Wen  LIU Jibao  XIE Liping  WEI Yuansong  ZHU Liying  ZHANG Juny  WU Jinfeng  ZHAO Hongqiao  XU Changgui
Institution:1. School of Environmental Science and Engineering, Tiangong University, Tianjin 300387;2. Laboratory of Water Pollution Control Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085;1. Laboratory of Water Pollution Control Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085;2. State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Beijing 100085;3. University of Chinese Academy of Sciences, Beijing 100049;Nansha River Management Office, Water Affairs Bureau of Changping District, Beijing 102200;Xiangtan Reservoir Management Office, Changping District, Beijing 102200; Shahe Gate Management Office, Changping District, Beijing 102200
Abstract:Shahe Reservoir of Northern Canal Basin was selected as the study area. Nineteen surface (0~20 cm) sediment samples and three sediment core samples were collected to analyze the spatial distribution characteristics of As, Cd, Cu, Mn, Ni, Pb and Zn in the sediments. The geo-accumulation index, potential ecological risk index and risk assessment code were used to evaluate heavy metal pollution, as well as its potential risk was analyzed according to the speciation of heavy metals. Results showed that the average enrichment factors of heavy metals compared to the background value in soil of Beijing were ranked at the order as the point source pollution area > the central area of the reservoir > the downstream area of the reservoir > the Nansha River > the upstream area of the reservoir > the Beisha River, namely, 2.57 times, 2.06 times, 1.97 times, 1.95 times, 1.87 times and 1.85 times, respectively. The sediment core samples in the central area of the reservoir and the inlet of the Beisha River showed a trend of increasing firstly and then decreasing with the change of depth. Pollution assessment results showed that As was moderately contaminated or moderately to strongly contaminated, but the other heavy metals were not polluted or lightly polluted. The potential ecological risk index of all sampling sites was less than 150, showing a low ecological risk. As, Cr, and Cu were mainly in the speciation of residues, with low bioavailability. Although the content of Mn and Zn were low, they showed high bioavailability. Based on correlation analysis and principal component analysis, it was speculated that the sources of various heavy metal pollution in the sediment were similar, which were possibly input from the external wastewater. The heavy metals in sediment were positively related to nutrients and organic matter, indicating that all of them were mostly from the same point polluted sources.
Keywords:sediment  heavy metals  spatial distribution  pollution assessment  speciation characteristics
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