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郑州市大气PM2.5中水溶性离子的污染特征及来源解析
摘要点击 3235  全文点击 2800  投稿时间:2021-12-31  修订日期:2022-05-17
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中文关键词  水溶性无机离子  季节变化  转化率  潜在源区  来源
英文关键词  water-soluble inorganic ions  seasonal variation  conversion ratio  potential source regions  source apportionment
作者单位E-mail
张俊美 中原工学院能源与环境学院, 郑州 450007 jmzhangchina@163.com 
陈仕霖 中原工学院能源与环境学院, 郑州 450007  
王乾恒 中原工学院能源与环境学院, 郑州 450007  
姚森 中原工学院能源与环境学院, 郑州 450007  
杨书申 中原工学院能源与环境学院, 郑州 450007  
中文摘要
      为探究郑州大气细颗粒物PM2.5中水溶性无机离子(WSIIs)的污染特征、季节变化和来源,有针对性地防治PM2.5的污染,2020年12月至2021年10月4个不同季节连续采集PM2.5样品,并结合气态污染物(SO2、NO2和O3)和气象因素(温度和相对湿度)对9种WSIIs (NO3-、NH4+、SO42-、Ca2+、K+、Na+、Mg2+、F-和Cl-)进行分析.结果表明,观测期ρ[总水溶性离子(TWSIIs)]年均值为(39.34±21.56)μg ·m-3,呈现出冬季最高、夏季最低的季节变化特征.全年PM2.5均稍微偏碱性,NH4+的存在形态均为NH4NO3和(NH42SO4.硫氧转化率(SOR)和氮氧转化率(NOR)年均值分别为0.35和0.19,表明SO42-和NO3-主要来自二次生成.WSIIs的主要潜在源区呈现明显的季节和空间差异性,春季、夏季和秋季源区分布具有明显的方向性,而秋季采样点周围省份均为主要潜在源区.采样期间WSIIs的主要来源为扬尘、二次生成、燃烧和工业活动,且这些来源明显受到风向风速的影响.
英文摘要
      In order to explore the pollution characteristics, seasonal variations, and sources of water-soluble inorganic ions (WSIIs) in PM2.5 in Zhengzhou, PM2.5 samples were seasonally collected from December 2020 to October 2021; then, combining gaseous pollutants (SO2, NO2, and O3) and meteorological parameters (temperature and relative humidity), nine WSIIs (NO3-, NH4+, SO42-, Ca2+, K+, Na+, Mg2+, F-, and Cl-) were analyzed. The results showed that the annual average concentration of the total water-soluble ions (TWSIIs) was (39.34±21.56) μg·m-3for the four seasons, showing obvious seasonal variations with the maximum value in winter and the minimum value in summer. Annual PM2.5 was slightly alkaline in Zhengzhou, and NH4+ most likely existed in the form of NH4NO3 and (NH4)2SO4. The average sulfur oxidation ratio (SOR) and nitrogen oxidation ratio (NOR) were 0.35 and 0.19, respectively, indicating that SO42- and NO3- mainly derived from secondary formation. The main potential source regions of WSIIs obtained by the concentration weight trajectory (CWT) model showed temporal and spatial variations. The significant sources of WSIIs based on principal component analysis (PCA) were dust, secondary generation, combustion, and industrial activities, which were obviously influenced by wind direction and speed in Zhengzhou.

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