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新乡市大气PM2.5中水溶性离子污染特征及其来源解析

李红亮,  陶杰,  李岚清,  赵文鹏,  许梦源,  贾梦珂,  杨莹,  刘桓嘉

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文章导航 > 环境工程  > 2023 >  41(8): 117-126
李红亮, 陶杰, 李岚清, 赵文鹏, 许梦源, 贾梦珂, 杨莹, 刘桓嘉. 新乡市大气PM2.5中水溶性离子污染特征及其来源解析[J]. 环境工程, 2023, 41(8): 117-126. doi: 10.13205/j.hjgc.202308015
引用本文: 李红亮, 陶杰, 李岚清, 赵文鹏, 许梦源, 贾梦珂, 杨莹, 刘桓嘉. 新乡市大气PM2.5中水溶性离子污染特征及其来源解析[J]. 环境工程, 2023, 41(8): 117-126. doi: 10.13205/j.hjgc.202308015
shu
LI Hongliang, TAO Jie, LI Lanqing, ZHAO Wenpeng, XU Mengyuan, JIA Mengke, YANG Ying, LIU Huanjia. POLLUTION CHARACTERISTICS AND SOURCE APPORTIONMENT OF WATER-SOLUBLE IONS IN PM2.5 IN XINXIANG[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(8): 117-126. doi: 10.13205/j.hjgc.202308015
Citation: LI Hongliang, TAO Jie, LI Lanqing, ZHAO Wenpeng, XU Mengyuan, JIA Mengke, YANG Ying, LIU Huanjia. POLLUTION CHARACTERISTICS AND SOURCE APPORTIONMENT OF WATER-SOLUBLE IONS IN PM2.5 IN XINXIANG[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(8): 117-126. doi: 10.13205/j.hjgc.202308015
shu

新乡市大气PM2.5中水溶性离子污染特征及其来源解析

doi: 10.13205/j.hjgc.202308015

  • 1. 河南省新乡生态环境监测中心, 河南 新乡 453007;

  • 2. 河南省郑州生态环境监测中心, 郑州 450052;

  • 3. 河南师范大学 环境学院 黄淮水环境污染与防治教育部重点实验室 河南省环境污染控制重点实验室, 河南 新乡 453007

基金项目: 

河南省博士后科研项目(2022年)

河南省科技攻关项目(222102320394)

国家自然科学基金项目(42007204)

详细信息
    作者简介:

    李红亮(1978-),男,学士,高级工程师,主要研究方向为大气环境监测。lihongliangair@163.com

    通讯作者:

    刘桓嘉(1987-),男,博士,讲师,主要研究方向为大气污染源清单编制、颗粒物来源解析、重金属人体健康风险评估。liuhuanjia@htu.edu.cn

POLLUTION CHARACTERISTICS AND SOURCE APPORTIONMENT OF WATER-SOLUBLE IONS IN PM2.5 IN XINXIANG

  • 1. Xinxiang Ecology and Environmental Monitoring Center of Henan Province, Xinxiang 453007, China;

  • 2. Zhengzhou Ecology and Environmental Monitoring Center of Henan Province, Zhengzhou 450052, China;

  • 3. Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang 453007, China

    摘要
  • 摘要: 水溶性无机离子(WSIIs)作为PM2.5的主要化学组分,能影响大气能见度,导致重污染事件的发生。为探究新乡市大气PM2.5及其水溶性无机离子的污染特征及其来源,于2019—2020年分季节在新乡市城区开展PM2.5样品采集并分析了8种离子组分浓度。结果表明:PM2.5及总WSIIs年均浓度分别为(66.25±35.73),(33.66±24.15) μg/m3,呈冬季浓度高、夏季浓度低的特征。二次无机离子SNA(NO-3、SO2-4和NH+4)占WSIIs平均质量浓度的89.7%,且在冬季占比较高。PMF源解析结果表明,新乡市大气PM2.5中水溶性离子的主要来源有二次硝酸盐、二次硫酸盐、燃烧源和扬尘源。结合后向轨迹分析得出,来自京津冀及河南省西南部地区的低空低速气流对观测站点PM2.5浓度影响较大,该气团所对应的二次硫酸盐和二次硝酸盐对WSIIs的贡献较大;来自西北方向的气团对应较高的Ca2+和Mg2+浓度占比和较大的扬尘源贡献。该研究结果有助于了解WSIIs的污染特征及来源,可为颗粒物污染防治提供参考。
    Abstract: Water soluble inorganic ions (WSIIs) are the main chemical components of fine particle matter (PM2.5 ), which can degrade atmospheric visibility and induce rapid formation of extreme haze episodes. In order to explore pollution characteristics and sources of WSIIs in PM2.5 in Xinxiang, PM2.5 samples were collected by seasons during 2019—2020. In total, 8 ions (K+, Ca2+, Na+, Mg2+, NH4+, Cl-, NO3- and SO42-) were analyzed using ion chromatography. The annual mean concentrations of PM2.5 and WSIIs were (66.25±35.73) μg/m3 and (33.66±24.15) μg/m3, respectively. The concentrations of PM2.5 and WSIIs exhibited obvious seasonal variation characteristics, with maximum concentration in winter and minimum in summer. SNA (NO3-, SO42- and NH4+) accounted for 89.7% of the average mass concentrations of total WSIIs. Furthermore, the concentration of SNA and the ratio of SNA to WSIIs increased significantly with the aggravation of pollution levels in winter. The PMF source analysis results indicated that secondary sulfate, secondary nitrate, combustion source and dust were the main sources of WSIIs in PM2.5 in Xinxiang. Finally, the results from backward trajectories associated with PMF-resolved sources showed that the low altitude and low-speed air masses from Beijing-Tianjin-Hebei and the southwest of Henan province had a great influence on PM2.5 concentration in Xinjiang. Secondary sulfate and secondary nitrate contributed more to WSIIs under the influence of those air masses. However, the dust source in study areas was mainly influenced by the masses from the northwest regions, higher proportions of Ca2+ and Mg2+ in WSIIs were also found. The findings could contribute to understand the characteristics and sources of WSIIs, and enlighten beneficial suggestions for particle pollution prevention and control in the study area.
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  • 收稿日期:  2023-03-13
  • 网络出版日期:  2023-11-15

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