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| Analysis of PM2.5 water-soluble ionic pollution characteristics in Shijiazhuang based on high resolution MARGA |
| An Xuewen, Ni Shuangying, Zhao Weifeng, Wang Honghua, Meng Chenchen, Su Wenkang |
| Hebei Provincial Academy Environmental Science, Shijiazhuang 050037, China |
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Abstract From December 1, 2018 to November 30, 2019, the high time resolution online gas and aerosol composition monitoring system (MARGA) was used to monitor the mass concentration of atmospheric PM2.5 water-soluble ions in Shijiazhuang city, combining with the gaseous pollutants and meteorological monitoring data analyze the pollution characteristics of PM2.5 and its water-soluble ions before and after the spring festival. The results showed, that during the monitoring period, the average annual mass concentration of water-soluble ions of PM2.5 was 43.9±43.1 μg·m-3, which accounted for 58.2% of PM2.5, and the order of mass concentration was NO3->SO42->NH4+>Cl->Ca2+>K+>Na+>Mg2+. The characteristics of seasonal changes are: winter (70.1 μg·m-3)>autumn (40.3 μg·m-3)>spring (37.5 μg·m-3)>summer (28.1 μg·m-3). Water-soluble ions are in the "ammonium-rich" state in all four seasons. In summer, NH4+ mainly exists in the form of (NH4)2SO4, and NH4NO3, and there is also some NH4Cl; in winter, NH4+ was mainly (NH4)2SO4. The average value of NO3-/SO42- ratio was 1.61, it can be considered that Shijiazhuang was mainly affected by mobile sources during the monitoring period, and the impact was greatest in autumn. The hourly average values of SOR and NOR were 0.31 and 0.21 respectively and there was obvious secondary conversion.
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| [ 1 ] 喻义勇,王苏蓉,秦 玮. 大气细颗粒物在线源解析方法研究进展[ J ]. 环境监测管理与技术,2015,27( 3 ):12 - 17.
[ 2 ] 高知义. 大气细颗粒物人群暴露的健康影响及遗传易感性研究[ D ]. 复旦大学,2010.
[ 3 ] Guo S, Hu M, Zamora M L, et al. Elucidating severe urban haze formation in China[ J ]. Proceedings of the National Academy of Sciences, 2014, 111( 49 ): 17 373 - 17 378.
[ 4 ] Tadano Y S, Borillo G C, Godoi A F L, et al. Gaseous emissions from a heavy-duty engine equipped with SCR after treatment system and fuelled with diesel and biodiesel: assessment of pollutant dispersion and health risk[ J ]. Science of the Total Environment, 2014, 500: 64 - 71.
[ 5 ] 林 昕,曹 芳,翟晓瑶,等. 中国典型城市冬季大气细颗粒物水溶性离子特征及来源分析[ J ]. 生态环境学报,2019,28( 2 ):307 - 315.
[ 6 ] 陈 静,杨 鹏,韩军彩,等. 基于高分辨率MARGA数据分析石家庄PM2.5成分谱特征[ J ]. 中国环境科学,2015,35( 9 ):2 594 - 2 604.
[ 7 ] Feng Y P, Zhang J K, Huang X J, et al. Pollution Characteristics of Water-soluble Inorganic Ions in Chengdu in Summer and Winter. [ J ]. Huan jing ke xue= Huanjing kexue, 2020, 41( 7 ).
[ 8 ] 唐孝炎,张远航,邵 敏. 大气环境化学[ M ]. 高等教育出版社,2006( 2 ):308 - 309.
[ 9 ] 李永麒,张国斌. 太原市春季大气PM2.5中水溶性离子在线观测分析[ J ]. 环境化学,2017,36( 8 ):1 777 - 1 784.
[ 10 ] 乔利平. 利用在线高分辨观测手段研究烟花爆竹燃放的大气污染物理化特征[ J ]. 环境科学学报,2014,34( 9 ):2 398 - 2 406.
[ 11 ] 刘寿东,张 莉,张园园,等. 温湿度对南京北郊PM2.5中二次无机离子生成演化的影响[ J ]. 生态环境学报,2018,27( 4 ):714 - 721.
[ 12 ] 黄炯丽,陈志明,莫招育,等. 基于高分辨率MARGA分析桂林市PM2.5水溶性离子特征[ J ]. 中国环境科学,2019,39( 4 ):1 390 - 1 404.
[ 13 ] 高 嵩,范美益,曹 芳,等. 基于高分辨率在线气溶胶监测仪数据分析南京北郊冬季PM2.5中水溶性离子污染特性[ J ]. 科学技术与工程,2018,18( 11 ):337 - 342.
[ 14 ] 杨留明,王申博,郝 祺,等. 郑州市PM2.5中水溶性离子特征及来源分析[ J ]. 环境科学,2019( 7 ):1 - 12.
[ 15 ] 刘 军. 南京市PM2.5中水溶性离子季节变化特征[ J ]. 污染防治技术,2020,33( 3 ):43 - 44,60.
[ 16 ] 任 娇,尹诗杰,郭淑芬. 太原市大气PM2.5中水溶性离子的季节污染特征及来源分析[ J ]. 环境科学学报,2020( 10 ):1 - 11.
[ 17 ] 吕 哲. 石家庄市PM2.5水溶性离子化学特征与来源解析[ D ]. 抚州:东华理工大学,2019.
[ 18 ] 冯炎鹏,张军科,黄小娟,等. 成都夏冬季PM2.5中水溶性无机离子污染特征[ J ]. 环境科学,2020,41( 7 ):3 012 - 3 020.
[ 19 ] 栾玉荣. 我国多站点主要水溶性气溶胶的空间分布和时间变化特征[ D ]. 北京:中国气象科学研究院,2008.
[ 20 ] 孟琛琛. 邯郸市PM2.5化学组分特征研究[ D ]. 邯郸:河北工程大学,2015.
[ 21 ] 王念飞,陈 阳,郝庆菊,等. 苏州市PM2.5中水溶性离子的季节变化及来源分析[ J ]. 环境科学,2016,37( 12 ):4 482 - 4 489.
[ 22 ] 高 嵩,范美益,曹 芳,等. 基于高分辨率在线气溶胶监测仪数据分析南京北郊冬季PM2.5中水溶性离子污染特性[ J ]. 科学技术与工程,2018,18( 11 ):337 - 342.
[ 23 ] Wang Y, Zhuang G S, Zhang X Y, et al. The ion chemistry, seasonal cycle and sources of PM2.5 and TSP aerosol in Shanghai[ J ]. Atmospheric Environment, 2005, 40( 16 ): 2 935 - 2 952. |
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