首页 | 本学科首页   官方微博 | 高级检索  
     检索      

苏州市大气中汞的形态分布特征及来源分析
引用本文:卢仁杰,吴也正,张晓婕,沈莹,吴福全,薛媛媛,邹强,麻春艳.苏州市大气中汞的形态分布特征及来源分析[J].环境科学,2020,41(7):3102-3111.
作者姓名:卢仁杰  吴也正  张晓婕  沈莹  吴福全  薛媛媛  邹强  麻春艳
作者单位:江苏省苏州环境监测中心, 苏州 215000,江苏省苏州环境监测中心, 苏州 215000;江苏省环境保护空气复合污染物监测重点实验室, 苏州 215000,苏州常卫环保科技有限公司, 苏州 215000,江苏省苏州环境监测中心, 苏州 215000,江苏省苏州环境监测中心, 苏州 215000;江苏省环境保护空气复合污染物监测重点实验室, 苏州 215000,江苏省苏州环境监测中心, 苏州 215000,江苏省苏州环境监测中心, 苏州 215000;江苏省环境保护空气复合污染物监测重点实验室, 苏州 215000,中国科学院生态环境研究中心, 北京 100085
基金项目:江苏省环境监测科研基金项目(1716)
摘    要:针对苏州市大气中汞的分布特征和污染来源,自2018年1月1日至2018年12月31日对苏州市大气中的气态元素汞(GEM)、气态氧化汞(GOM)和颗粒态汞(PBM)进行1 a的连续监测,并基于浓度权重轨迹分析法(CWT)和浓度玫瑰图法,研究2018年大气汞来源和浓度变化规律.结果表明,监测期间苏州市大气中GEM、GOM和PBM浓度分别在0~53.3 ng·m~(-3)、 0~256 pg·m~(-3)和0~5 208 pg·m~(-3),年均浓度分别为(2.57±2.09)ng·m~(-3)、(5.27±15.7)pg·m~(-3)和(16.0±157)pg·m~(-3).其中,GEM是苏州市大气汞的主要成分,约占99.2%.监测期间,苏州市大气中GEM季节平均浓度表现出冬季(3.17 ng·m~(-3))春季(3.09 ng·m~(-3))秋季(2.30 ng·m~(-3))夏季(1.98 ng·m~(-3))的规律.根据CWT分析结果,苏州大气中汞迁移具有季节性差异:春季和冬季的含汞气团主要来自于内陆,夏季主要来自于苏州本地、黄海和东海,秋季的含汞气团来自于内陆、黄海和渤海.同时研究发现西北方向来自内陆的大气汞浓度较高,东方向来自海洋的大气汞浓度较低.苏州市大气中GEM和PBM平均浓度表现为昼间低夜间高,与大气参数进行相关性拟合,得出大气中GEM日变化规律与太阳总辐射亦呈显著的相关性(r=-0.664,P0.001),与湿度呈显著的相关性(r=0.859,P0.001),与气温呈显著的相关性(r=-0.866,P0.001); PBM与太阳总辐射呈一般相关性(r=-0.554,P0.01),与湿度呈显著的相关性(r=0.835,P0.001),与气温呈显著的相关性(r=-0.831,P0.001).苏州市大气中GOM平均浓度在1 d内出现多次峰值(05:00、 12:00、 18:00和23:00)和谷值(02:00、 10:00、 15:00和19:00).GOM浓度升高与早晚高峰燃料油燃烧排放正相关,亦与O_3浓度升高导致GEM氧化生成GOM正相关.

关 键 词:气态元素汞  气态氧化汞  颗粒态汞  来源分析  浓度权重轨迹  分布特征
收稿时间:2019/10/12 0:00:00
修稿时间:2020/1/16 0:00:00

Distribution Characteristics and Source Analysis of Atmospheric Mercury Speciation in Suzhou
LU Ren-jie,WU Ye-zheng,ZHANG Xiao-jie,SHEN Ying,WU Fu-quan,XUE Yuan-yuan,ZOU Qiang,MA Chun-yan.Distribution Characteristics and Source Analysis of Atmospheric Mercury Speciation in Suzhou[J].Chinese Journal of Environmental Science,2020,41(7):3102-3111.
Authors:LU Ren-jie  WU Ye-zheng  ZHANG Xiao-jie  SHEN Ying  WU Fu-quan  XUE Yuan-yuan  ZOU Qiang  MA Chun-yan
Institution:Jiangsu Suzhou Environmental Monitoring Center, Suzhou 215000, China;Jiangsu Suzhou Environmental Monitoring Center, Suzhou 215000, China;Key Laboratory of Atmospheric Combined Pollution Monitoring, Environmental Protection Department of Jiangsu Province, Suzhou 215000, China;Suzhou Changwei Environmental Protection Technology Co., Ltd., Suzhou 215000, China; Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Abstract:To explore the variation of mercury in the atmosphere in Suzhou, continuous monitoring of gaseous element mercury (GEM), gaseous oxidized mercury (GOM), and particulate bound mercury (PBM) was conducted from January 1 to December 31, 2018, in Suzhou. The weights trajectory analysis method (CWT) and concentration rose were used to analyze the atmospheric mercury sources and concentration variation. The results showed that during the monitoring period, the concentration ranges of GEM, GOM, and PBM in Suzhou were 0-53.3 ng·m-3, 0-256 pg·m-3, and 0-5208 pg·m-3, respectively. The corresponding annual average concentrations of the three mercury species were (2.57±2.09) ng·m-3, (5.27±15.7) pg·m-3, and (16.0±157) pg·m-3, respectively. GEM was the main component of atmospheric mercury in Suzhou. During the monitoring period, the average concentration of GEM in Suzhou was highest in winter, higher in spring than in autumn, and lowest in summer. According to the CWT, the mercury-containing air mass in spring and winter predominantly originated from inland; in summer, it mainly originated from the local area, the Yellow Sea, and the East China Sea, and in autumn from inland, the Yellow Sea, and the Bohai Sea. The wind and mercury rose charts showed that atmospheric mercury concentrations were higher from inland and lower from the ocean. During the monitoring period, the average concentrations of GEM and PBM in Suzhou were lower during the day than the night. The diurnal variation of GEM and PBM was significantly and strongly correlated with solar radiation, humidity, and air temperature. The average concentration of GOM showed multiple peaks and valleys in one day. Some peaks were caused by fuel oil combustion emissions, and some by O3 oxidation with GEM.
Keywords:gaseous element mercury  gaseous oxidized mercury  particulate bound mercury  source analysis  concentration-weighted trajectory  distribution characteristic
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《环境科学》浏览原始摘要信息
点击此处可从《环境科学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号