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嘉善冬季PM2.5化学组分特征及来源分析

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张颖龙, 李莉, 宋刘明, 王翡, 赵欢欢, 吴伟超, 唐倩, 潘晨, 陈昊. 嘉善冬季PM2.5化学组分特征及来源分析[J]. 环境化学, 2021, (3): 754-764. doi: 10.7524/j.issn.0254-6108.2020062303
引用本文: 张颖龙, 李莉, 宋刘明, 王翡, 赵欢欢, 吴伟超, 唐倩, 潘晨, 陈昊. 嘉善冬季PM2.5化学组分特征及来源分析[J]. 环境化学, 2021, (3): 754-764. doi: 10.7524/j.issn.0254-6108.2020062303
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ZHANG Yinglong, LI Li, SONG Liuming, WANG Fei, ZHAO Huanhuan, WU Weichao, TANG Qian, PAN Chen, CHEN Hao. Chemical components characteristic and source apportionment of PM2.5 during winter in Jiaxing[J]. Environmental Chemistry, 2021, (3): 754-764. doi: 10.7524/j.issn.0254-6108.2020062303
Citation: ZHANG Yinglong, LI Li, SONG Liuming, WANG Fei, ZHAO Huanhuan, WU Weichao, TANG Qian, PAN Chen, CHEN Hao. Chemical components characteristic and source apportionment of PM2.5 during winter in Jiaxing[J]. Environmental Chemistry, 2021, (3): 754-764. doi: 10.7524/j.issn.0254-6108.2020062303
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嘉善冬季PM2.5化学组分特征及来源分析

  • 1. 浙江省嘉兴生态环境监测中心, 嘉兴, 314000;

  • 2. 嘉兴市气象局, 嘉兴, 314000;

  • 3. 浙江省生态环境监测中心, 杭州, 310012;

  • 4. 江苏省气象台, 南京, 210008

    • 通讯作者: 潘晨, E-mail: arthur_pc@163.com ; 
  • 基金项目:

    国家自然科学基金（41805120，41905099）资助.

Chemical components characteristic and source apportionment of PM2.5 during winter in Jiaxing

  • 1. Jiaxing Eco-Environmental Monitoring Center of Zhejiang Province, Jiaxing, 314000, China;

  • 2. Jiaxing Meteorological Bureau, Jiaxing, 314000, China;

  • 3. Zhejiang Eco-Environmental Monitoring Center, Hangzhou, 310012, China;

  • 4. Jiangsu Meteorological Observatory, Nanjing, 210008, China

    • Corresponding author: PAN Chen, arthur_pc@163.com ; 
  • Fund Project: Supported by the National Natural Science Foundation of China (41805120, 41905099).

  • 摘要: 为研究嘉兴地区嘉善冬季污染时段和清洁时段PM2.5化学组分特征，结合气象数据对2019年1月嘉兴市嘉善县善西超级站在线自动监测PM2.5及化学组分数据、气态污染物（NO2和SO2）进行了分析.结果表明，2019年1月嘉善善西超级站污染时段PM2.5浓度（97.18 μg·m-3）为清洁时段（36.77 μg·m-3）的2.6倍.污染时段水溶性离子浓度（41.58 μg·m-3）较清洁时段（19.82 μg·m-3）高21.76 μg·m-3，但占比有所降低，含碳组分比例增加.OC/EC比值为3.93，可能受到燃煤及机动车排放的共同影响.低风速及高湿有利于NO2和SO2等气态污染物进行二次转化，污染时段硫转化率和氮转化率均比清洁时段高，分别增高7.93%和54.11%，说明NOx向硝酸盐二次转化较为明显，导致颗粒物浓度升高.聚类分析结果显示67.34%气流来自北方，且相应的气流轨迹上污染物浓度比周边高，说明污染物存在一定的长距离输送.结合风玫瑰图可以看出，污染主要为本地及其周边的输送，污染物的长距离输送在短时会使污染浓度突增.因此，在重点关注本地及周边污染的同时，偏北气流下的污染物区域输送不可忽视.
    Abstract: In order to study the characteristics of PM2.5 components between pollution period and cleaning period juring winter in Jiaxing area, combined with meteorological data, the PM2.5 and component data, gaseous pollutants (SO2 and NO2) of Jiaxing Shanxi super station in January 2019 were analyzed. The results showed that in January 2019, the PM2.5 concentration (97.18 μg·m-3) of Shanxi super station in Jiaxing was 2.6 times of that in clean period (36.77 μg·m-3). The concentration of water-soluble ion in pollution period(41.58μg·m-3) was higher than that in clean period (19.82 μg·m-3) about 21.76 μg·m-3, but the proportion decreased and the proportion of carbon component increased. The OC/EC ratio was 3.93, which might be affected by both coal and vehicle emissions. During the pollution period, low wind speed and high humidity were conducive to the secondary transformation of gaseous pollutants such as NO2 and SO2, resulting in the increase of particle concentration. In the pollution period, SOR and NOR were higher than those in the clean period, increased by 7.93% and 54.11% respectively, and the secondary transformation of NOx to nitrate was more obvious. Cluster analysis showed that 67.34% of the air flow came from the north, and the concentration of pollutants in the corresponding air flow path was higher than that in the surrounding areas, which indicating that there was a certain long-distance transportation of pollutants, Combined with the wind rose diagram, it could be seen that the pollution was mainly the local and its surrounding transportation, and the long-distance transportation of pollutants would increase the pollution concentration suddenly in a short time. Therefore, while focusing on the local and surrounding pollution, the regional transportation of pollutants under the northerly airflow can not be ignored.
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  • [1] 吴兑.近十年中国灰霾天气研究综述[J].环境科学学报,2012, 32(2):257-269.

    WU D. Hazy weather research in China in the last decade:A review[J]. Acta Scientiae Circumstantiae, 2012, 32(2):257-269(in Chinese).

    [2] 王自发, 李杰, 王哲,等. 2013年1月我国中东部强霾污染的数值模拟和防控对策[J]. 中国科学:地球科学,2014,44(1):3-14.

    WANG Z F, LI J, WANG Z, et al. Modeling study of regional severe hazes over Mid-Eastern China in January 2013 and its implications on pollution prevention and control[J]. Science China:Earth Sciences,2014,44(1):3-14(in Chinese).

    [3] 杜荣光, 齐冰, 胡德云, 等. 杭州市区相对湿度及PM2.5对能见度的影响分析[J]. 南京大学学报:自然科学版, 2015,51(3):473-480.

    DU R G, QI B, HU D Y, et al. The analysis of relative humidity and PM2.5 impact on visibility in Hangzhou[J]. Journal of Nanjing University(Natural Sciences), 2015,51(3):473-480(in Chinese).

    [4] YIN H, PIZZOL M, XU L. External costs of PM2.5 pollution in Beijing, China:Uncertainty analysis of multiple health impacts and costs[J]. Environmental Pollution, 2017, 226:356-369.
    [5] 郭新彪, 魏红英. 大气PM2.5对健康影响的研究进展[J].科学通报,2013, 58(13):1171-1177.

    GUO X B, WEI H Y. Progress on the health effects of ambient PM2.5 pollution[J]. Chinese Science Bulletin, 2013, 58(13):1171-1177(in Chinese).

    [6] 吴明, 吴丹, 夏俊荣, 等.成都冬季PM2.5化学组分污染特征及来源解析[J].环境科学,2019,40(1):76-85.

    WU M, WU D, XIA J R, et al. Analysis of pollution characteristics and sources of PM2.5 chemical components in Chengdu in Winter[J]. Environmental Science, 2019,40(1):76-85(in Chinese).

    [7] 徐少才, 王静, 吴建会, 等.青岛市PM2.5化学组分特征及综合来源解析[J].中国环境监测,2018,34(4):44-53.

    XU S C, WANG J, WU J H, et al. Characterization of chemical composition and comprehensive source apportionment of PM2.5 in Qingdao[J]. Environment Monitoring of China, 2018, 34(4):44-53(in Chinese).

    [8] 刘晓迪, 孟静静, 侯战方, 等. 济南市夏、冬季PM2.5中化学组分的季节变化特征及来源解析[J].环境科学,2018,39(9):4014-4025.

    LIU X D, MENG J J, HOU Z F, et al. Analysis of seasonal variations in chemical characteristics and sources of PM2.5 during summer and winter in Ji'nan City[J]. Environmental Science,2018,39(9):4014-4025(in Chinese).

    [9] ZHANG Y L, ZHU B, GAO J H, et al. The source apportionment of primary PM2.5 in an aerosol pollution event over Beijing-Tianjin-Hebei Region using WRF-Chem, China[J]. Aerosol and Air Quality Research, 2017(17):2966-2980.
    [10] 陈国磊, 周颖, 程水源,等.承德市大气污染源排放清单及典型行业对PM2.5的影响[J].环境科学,2016,37(11):4069-4079.

    CHEN G L, ZHOU Y, CHENG S Y, et al. Air pollutant emission inventory and impact of typical industries on PM2.5 in Chengde[J]. Environmental Science, 2016,37(11):4069-4079(in Chinese).

    [11] 王媛林, 李杰, 李昂, 等. 2013-2014年河南省PM2.5浓度及其来源模拟研究[J]. 环境科学学报, 2016, 36(10):3543-3553.

    WANG Y L, LI J, LI A, et al.Modeling study of surface PM2.5 and its source apportionment over Henan in 2013-2014[J]. Acta Scientiae Circumstantiae, 2016, 36(10):3543-3553(in Chinese).

    [12] 刘童, 王晓军, 陈倩, 等.烟台市环境受体PM2.5四季污染特征与来源解析[J].环境科学,2019,40(3):1082-1090.

    LIU T, WANG X J, CHEN Q, et al. Pollution characteristics and source apportionment of ambient PM2.5 during four seasons in Yantai City[J]. Environmental Science, 2019,40(3):1082-1090(in Chinese).

    [13] 王彤, 华阳, 许庆成, 等.京津冀郊区站点秋冬季大气PM2.5来源解析[J].环境科学,2019,40(3):1035-1042.

    WANG T, HUA Y, XU Q C, et al. Source apportionment of PM2.5 in suburban area of Beijing-Tianjin-Hebei region in autumn and winter[J]. Environmental Science, 2019,40(3):1035-1042(in Chinese).

    [14] 缑亚峰, 余欢, 王成, 等. PM2.5化学组成观测设计对PMF源解析结果影响综述[J].环境化学,2020,39(7):1744-1753.

    GUO Y F, YU H, WANG C, et al. Review:Influence of PM2.5 composition measurement design on source appointment using positive matrix factorization(PMF)[J]. Environmental Chemistry,2020,39(7):1744-1753(in Chinese).

    [15] 邓林俐,张凯山,殷子渊,等.基于PMF模型的PM2.5中金属元素污染及来源的区域特征分析[J].环境科学, 2020, 41(12):5276-5287.

    DENG L L, ZHANG K S, YIN Z Y, et al. Characterization of metal pollution of regional atmospheric PM2.5 and its sources based on PMF model[J]. Environmental Science, 2020, 41(12):5276-5287(in Chinese).

    [16] 刘艳萍, 王明仕, 桂晨露, 等.中国工业基地城市群PM2.5时空分布特征及相关性分析[J]. 科学技术与工程, 2018,18(15):184-189.

    LIU Y P, WANG M S, GUI C L, et al. The spatial distribution characteristics and correlation analysis of PM2.5 in urban agglomeration of China's industrial base[J]. Science Technology and Engineering,2018,18(15):184-189(in Chinese).

    [17] 王荟, 王格慧, 高士祥, 等. 南京市大气颗粒物春季污染的特征[J]. 中国环境科学, 2003, 23(1):55-59.

    WANG H, WANG G H, GAO S X, et al. Characteristics of atmospheric particulate pollution in spring in Nanjing City[J]. China Environmental Science, 2003, 23(1):55-59(in Chinese).

    [18] CALVO A I, ALVES C, CASTRO A, et al. Research on aerosol sources and chemical composition:Past, current and emerging issues[J]. Atmospheric Research, 2013, 120/121:1-28.
    [19] 王鑫, 安俊琳, 苏筱倩, 等. 南京北郊水溶性离子污染特征及其光学特性[J].中国环境科学, 2020,40(2):506-512.

    WANG X, AN J L, SU X Q, et al. Characteristics and optical properties of water-soluble ion pollution in the northern suburbs of Nanjing[J]. China Environmental Science, 2020,40(2):506-512(in Chinese).

    [20] 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):4482-4489.

    WANG N F, CHEN Y, HAO Q J, et al. Seasonal variation and source analysis of the water-soluble inorganic ions in fine particulate matter in Suzhou[J]. Environmental Science, 2016,37(12):4482-4489(in Chinese).

    [21] XU L L, DUAN F K, HE K B, et al. Characteristics of the secondary water-soluble ions in a typical autumn haze in Beijing[J]. Environmental Pollution,2017,227:296-305.
    [22] BHUYAN P, BARMAN N, BORA J, et al. Attributes of aerosol bound water soluble ions and carbon, and their relationships with AOD over the Brahmaputra Valley[J]. Atmospheric Environment, 2016, 142:194-209.
    [23] 孟琛琛, 王丽涛, 张芬芬, 等. 邯郸市PM2.5中水溶性无机离子污染特征及来源解析[J]. 环境科学学报,2015,35(11):3443-3451.

    MENG C C, WANG L T, ZHANG F F, et al. Pollution characteristics and source apportionment of water soluble inorganic ions in PM2.5in Handan City[J]. Acta Scientiae Circumstantiae,2015,35(11):3443-3451(in Chinese).

    [24] 刀谞,张霖琳,王超,等. 京津冀冬季与夏季PM2.5/PM10及其水溶性离子组分区域性污染特征分析[J]. 环境化学,2015,34(1):60-69.

    DAO X, ZHANG L L, WANG C, et al. Characteristics of mass and ionic compounds of atmospheric particles in winter and summer of Beijing-Tianjin-Hebei area, China[J]. Environmental Chemistry, 2015,34(1):60-69(in Chinese).

    [25] 张蕾, 姬亚芹, 王士宝, 等. 盘锦市冬季PM2.5水溶性离子特征及来源分析[J]. 环境科学, 2018,39(6):2521-2527.

    ZHANG L, JI Y Q, WANG S B, et al. Characteristics and source apportionment of water-soluble ions in PM2.5 during winter in Panjin[J]. Environmental Science, 2018,39(6):2521-2527(in Chinese).

    [26] MING L L, JIN L, LI J, et al. PM2.5 in the Yangtze River Delta, China:Chemical compositions, seasonal variations, and regional pollution events[J]. Environmental Pollution, 2017,223:200-212.
    [27] YANG F, TAN J, ZHAO Q, et al. Characteristics of PM2.5 speciation in representative megacities and across China[J]. Atmospheric Chemistry and Physics, 2011,11(11):5207-5219.
    [28] 周静博, 段菁春, 王建国, 等. 2019年元旦前后石家庄市重污染过程PM2.5污染特征及来源解析[J].环境科学,2020,41(1):39-49.

    ZHOU J B, DUAN J C, WANG J G, et al. Analysis of pollution characteristics and sources of PM2.5 during heavy pollution in Shijiazhuang City Around New Year's Day 2019[J]. Environmental Science,2020,41(1):39-49(in Chinese).

    [29] 刘素, 马彤, 杨艳, 等. 太原市冬季PM2.5化学组分特征与来源解析[J]. 环境科学, 2019, 40(4):19-26.

    LIU S, MA T, YANG Y, et al. Chemical composition characteristics and source apportionment of PM2.5 during winter in Taiyuan[J]. Environmental Science, 2019, 40(4):19-26(in Chinese).

    [30] 黄丹丹, 周敏, 余传冠, 等. 长三角淳安地区二次颗粒物污染形成机制[J]. 环境科学, 2018, 39(12):1537-1544.

    HUANG D D, ZHOU M, YU C G, et al. Physiochemical properties of the aerosol particles and their impacts on secondary aerosol formation at the background site of the Yangtze River Delta[J]. Environmental Science, 2018, 39(12):1537-1544(in Chinese).

    [31] 嘉兴市统计局. 嘉兴统计年鉴2019[M]. 北京:中国统计出版社, 2019. Jiaxing Municipal Bureau of statistics. Jiaxing statistical yearbook 2019[M]. Beijing:China Statistics Press, 2019(in Chinese).
    [32] WANG H, TAN S C, WANG Y, et al. A multisource observation study of the severe prolonged regional haze episode over eastern China in January 2013[J]. Atmospheric Environment, 2014, 89:807-815.
    [33] YANG Y J, ZHOU R, YU Y, et al. Size-resolved aerosol water-soluble ions at a regional background station of Beijing, Tianjin, and Hebei, North China[J].Journal of Environmental Sciences, 2017, 55(5):146-156.
    [34] 赵晴, 李岩岩, 贺克斌, 等. 2019年元宵节重污染期间济宁市PM2.5化学组分特征及污染成因分析[J]. 环境化学, 2020, 39(4):900-910.

    ZHAO Q, LI Y Y, HE K B, et al. Analysis of PM2.5 chemical characteristics and causes during heavy pollution in Jining City around the Lantern Festival of 2019[J]. Environmental Chemistry, 2020,39(4):900-910(in Chinese).

    [35] SCHAUER J J, KLEEMAN M J, CASS G R, et al. Measurement of emissions from air pollution sources. 2. C1 through C30 organic compounds from medium duty diesel trucks[J]. Environmental Science and Technology,1999,33(10):1578-1587.
    [36] CHEN Y J, ZHI G R, FENG Y L, et al. Measurements of emission factors for primary carbonaceous particles from residential raw-coal combustion in China[J]. Geophysical Research Letters,2006,33(20):382-385.
    [37] 范美益, 曹芳, 张园园, 等. 徐州市冬季大气细颗粒物水溶性无机离子污染特征及来源解析[J]. 环境科学, 2017, 38(11):4479-4485.

    FAN M Y, CAO F, ZHANG Y Y, et al. Characteristics and sources of water soluble inorganic ions in fine particulate matter during winter in Xuzhou[J]. Environmental Science, 2017, 38(11):4479-4485(in Chinese).

    [38] 李立伟, 戴启立, 毕晓辉, 等. 杭州市冬季环境空气PM2.5中碳组分污染特征及来源[J].环境科学研究,2017,30(3):340-348.

    LI L W, DAI Q L, BI X H, et al. Characteristics and sources of carbonaceous species in atmospheric PM2.5 during winter in Hangzhou City[J]. Research of Environmental Sciences, 2017,30(3):340-348(in Chinese).

    [39] WU M, WU D, XIA J R, et al. Analysis of pollution characteristics and sources of PM2.5 chemical components in Chengdu in winter[J]. Environmental Sciences,2019,40(1):76-85.
    [40] GRAY H A, CASS G R, HUNTZICKER J J, et al. Characteristics of atmospheric organic and elemental carbon particle concentrations in Los Angeles[J]. Environmental Science & Technology,1986,20(6);580-589.
    [41] 王苏蓉, 喻义勇, 王勤耕, 等. 基于PMF模式的南京市大气细颗粒物源解析[J].中国环境科学,2015,35(12):3535-3542.

    WANG S R, YU Y Y, WANG Q G, et al. Source apportionment of PM2.5 in Nanjing by PMF[J]. China Environmental Science, 2015,35(12):3535-3542(in Chinese).

    [42] 汪伟峰, 俞杰, 许丹丹, 等. 宁波市区冬季大气颗粒物及其主要组分的污染特征分析[J].中国环境监测,2013,29(5):43-46.

    WANG W F, YU J, XU D D, et al. Pollution characteristics of particles and its main components in Ningbo urban atmosphere[J]. Environmental Monitoring of China,2013,29(5):43-46(in Chinese).

    [43] 刘建, 吴兑, 范绍佳, 等. 前体物与气象因子对珠江三角洲臭氧污染的影响[J].中国环境科学,2017,37(3):813-820.

    LIU J, WU D, FAN S J, et al. Impacts of precursors and meteorological factors on ozone pollution in Pearl River Delta[J]. China Environmental Science,2017,37(3):813-820(in Chinese).

    [44] 别淑君, 杨凌霄, 高颖, 等. 济南市背景区域大气PM2.5污染特征及其对能见度的影响[J].环境科学,2019,40(9):3868-3874.

    BIE S J, YANG L X, GAO Y, et al. Characteristics of atmospheric PM2.5 pollution and its influence on visibility in background areas of Ji'nan[J]. Environmental Science, 2019,40(9):3868-3874(in Chinese).

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  • 收稿日期:  2020-06-23

嘉善冬季PM2.5化学组分特征及来源分析

    通讯作者: 潘晨, E-mail: arthur_pc@163.com ; 
  • 1. 浙江省嘉兴生态环境监测中心, 嘉兴, 314000;
  • 2. 嘉兴市气象局, 嘉兴, 314000;
  • 3. 浙江省生态环境监测中心, 杭州, 310012;
  • 4. 江苏省气象台, 南京, 210008
  • 收稿日期:  2020-06-23
基金项目:

国家自然科学基金（41805120，41905099）资助.

摘要: 为研究嘉兴地区嘉善冬季污染时段和清洁时段PM2.5化学组分特征，结合气象数据对2019年1月嘉兴市嘉善县善西超级站在线自动监测PM2.5及化学组分数据、气态污染物（NO2和SO2）进行了分析.结果表明，2019年1月嘉善善西超级站污染时段PM2.5浓度（97.18 μg·m-3）为清洁时段（36.77 μg·m-3）的2.6倍.污染时段水溶性离子浓度（41.58 μg·m-3）较清洁时段（19.82 μg·m-3）高21.76 μg·m-3，但占比有所降低，含碳组分比例增加.OC/EC比值为3.93，可能受到燃煤及机动车排放的共同影响.低风速及高湿有利于NO2和SO2等气态污染物进行二次转化，污染时段硫转化率和氮转化率均比清洁时段高，分别增高7.93%和54.11%，说明NOx向硝酸盐二次转化较为明显，导致颗粒物浓度升高.聚类分析结果显示67.34%气流来自北方，且相应的气流轨迹上污染物浓度比周边高，说明污染物存在一定的长距离输送.结合风玫瑰图可以看出，污染主要为本地及其周边的输送，污染物的长距离输送在短时会使污染浓度突增.因此，在重点关注本地及周边污染的同时，偏北气流下的污染物区域输送不可忽视.

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