Pollution characteristic of PM2.5 and secondary inorganic ions in Beijing-Tianjin-Hebei region

JIA-Jia1 HAN Li-hui1 CHENG Shui-yuan1 ZHANG Han-yu1 LV Zhe1

(1.Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing, China 100124)

【Abstract】Beijing, Shijiazhuang and Tangshan were selected as the typical cities in the Beijing-Tianjin-Hebei region to investigate the seasonal variation characteristics of secondary water-soluble inorganic ions (SNA) and compare the pollution characteristics and physicochemical property of the secondary water-soluble ions between heavy pollution period and other periods. Then CAMx-PSAT model was applied to quantitatively analyze the contribution on PM2.5 and SNA concentration from pollution sources in BTH region during different seasons. Results showed that PM2.5 concentration in these cities decreased year by year, and the maximum of SO42−, NO3and NH4+ concentration mostly appeared in winter at the same time, illustrating the related correlation of their concentrations. The mass concentrations of SO42−, NO3and NH4+ increased significantly during heavy pollution period compared with other periods. The largest concentration ratio of SNA appeared in one to two days before heavy pollution days. The formation of heavy pollution was the combined effects of local pollutant emission and external source region transport. The contribution of external sources to NO3was higher than that of SO42− and NH4+. In addition, the concentrations of PM2.5, SO42− and NO3were mostly contributed from traffic sources, resident sources and industrial sources, and the resident sources were the most important contributor for NH4+concentration.

【Keywords】 secondary water-soluble inorganic ions; PM2.5; heavy pollution; CAMx;


【Funds】 National Natural Science Foundation of China (91544232, 51638001)

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    [1] Xu H, Xiao Z M, Kong J, et al. Characteristic of atmospheric heavy pollution episodes in Winter of Tianjin [J]. China Environmental Science, 2017, 37(4): 1239−1246 (in Chinese).

    [2] Liu B, Yang J, Yuan J, et al. Source apportionment of atmospheric pollutants based on the online data by using PMF and ME2 models at a megacity, China [J]. Atmospheric Research, 2017, 185: 22−31.

    [3] He K B. 大气颗粒物与区域复合污染 [M]. Science Press, 2011: 234−236.

    [4] Tang X, Chen X, Tian Y. Chemical composition and source apportionment of PM2.5—A case study from one year continuous sampling in the Chang-Zhu-Tan urban agglomeration [J]. Atmospheric Pollution Research, 2017. doi: 10.1016/j.apr.2017.02.004.

    [5] Ma Y, Wu D , Liu J . The characteristics of PM2.5 and its water soluble ions during Spring Festival in PRD in 2012 [J]. China Environmental Science, 2016, 36(10): 2890−2895. (in Chinese).

    [6] Zhang Z W, Hu G R, Yu R L, et al. Characteristics and sources apportionment of water-soluble ions in PM2.5 of Xiamen City, China [J]. China Environmental Science, 2016, 36(7): 1947−1954. (in Chinese).

    [7] Yao Q , Liu Z R, Han S Q, et al. Characteristics of the size distribution of water-soluble ions during a heavy pollution episode in the winter in Tianjin [J]. Environmental Science, 2017, 38(12): 1−13. (in Chinese).

    [8] Chow J C, Watson J G. Enhanced ion chromatographic speciation of water-soluble PM2.5 to improve aerosol source apportionment [J]. Aerosol Science & Engineering, 2017, 1(01): 7−24.

    [9] Li L J Wang Z S, Zhang D W, et al. Analysis of heavy air pollution episodes in Beijing during 2013−2014 [J]. China Environmental Science, 2016, 36(1): 27−35. (in Chinese).

    [10] Wu D, Lin S L, Yang H Q, et al. Pollution characteristics and light extinction contribution of water-soluble ions of PM2.5 in Hangzhou [J]. Environmental Science, 2017, 38(7): 1−14. (in Chinese).

    [11] Wang X Q, Zhou Y, Cheng S Y, et al. Characterization and regional transmission impact of water-soluble ions in PM2.5 during winter in typical cities [J]. China Environmental Science, 2016, 36(8): 2289−2296. (in Chinese).

    [12] Huang R J, Zhang Y, Bozzetti C, et al. High secondary aerosol contribution to particulate pollution during haze events in China. [J]. Nature, 2014, 514(7521): 218.

    [13] Wang Z S, Li Y F, Sun F, et al. Analysis on heavy air pollution in Beijing in early October, 2014 [J]. China Environmental Science, 2015, 35(6): 1654−1663. (in Chinese).

    [14] Wei F F, Liu H, Lu X B, et al. Temporal and spatial characteristics of secondary components of PM2.5 in Nanjing [J]. China Environmental Science, 2017, 37(8): 2866−2876. (in Chinese).

    [15] 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).

    [16] Wang G, Cheng S, Lang J, et al. Characteristics of PM2.5 and assessing effects of emission-reduction measures in the heavy polluted city of Shijiazhuang, before, during, and after the Ceremonial Parade 2015 [J]. Aerosol and Air Quality Research, 2017, 17(2): 499−512.

    [17] Wang G, Cheng S, Wei W. Chemical characteristics of fine particles emitted from different Chinese cooking styles [J]. Aerosol and Air Quality Research, 2015, 15(6): 2357−2366.

    [18] Wen W, Han L H, Dai J, et al. Characteristics of PM2.5 Pollution and Source Apportionment in Tangshan During Summer [J]. Journal of Beijing University of Technology, 2014, 40(5): 751−758. (in Chinese).

    [19] Cheng S, Lang J, Zhou Y, et al. A new monitoring-simulation source apportionment approach for investigating the vehicular emission contribution to the PM2.5 pollution in Beijing, China [J]. Atmospheric Environment, 2013, 79(7): 308−316.

    [20] Wang Z J, Han L H, Chen X F, et al. Characteristics and sources of PM2.5 in typical atmospheric pollution episodes in Beijing [J]. Journal of Safety and Environment, 2012, 12(5): 122−126. (in Chinese).

    [21] Li L, Cheng S, Li J, et al. Application of MM5-CAMx-PSAT modeling approach for investigating emission source contribution to atmospheric SO2 pollution in Tangshan, Northern China [J]. Mathematical Problems in Engineering, 2013, 2013(4): 707−724.

    [22] Wang S, Zhao M, Xing J, et al. Quantifying the air pollutants emission reduction during the 2008 Olympic games in Beijing [J]. Environmental Science & Technology, 2010, 44(7): 2490.

    [23] Li S S, Cheng N L, Xu J, et al. Spatial and temporal distributions and source simulation of PM2.5 in Beijing-Tianjin-Hebei region in 2014 [J]. China Environmental Science, 2015, 35(10): 2908−2916. (in Chinese).

    [24] Xue WB, Fu F, Wang J N, et al. Numerical study on the characteristics of regional transport of PM2.5 in China [J]. China Environmental Science, 2014, 34(6): 1361−1368. (in Chinese).

    [25] Chinese Research Academy of Environmental Sciences. Ambient air quality standards [M]. China Environmental Science Press, 2012: 71. (in Chinese).

    [26] Xue W B, Wang J N, Yang J T, et al. Environmental effect simulation of air pollution prevention and control action plan [J]. Environmental Conformity Assessment, 2015, 7(2): 25−30. (in Chinese).

    [27] Xue Y F, Zhou Z, Nie T, et al. Exploring the severe haze in Beijing during December, 2015: Pollution process and emissions variation [J]. Environmental Science, 2016, 37(5): 1593−1601. (in Chinese).

    [28] Wang Q , Zhang D W, Liu B X, et al. Spatial and temporal variations of ambient PM2.5 source contributions using positive matrix factorization [J]. China Environmental Science, 2015, 35(10): 2917−2924. (in Chinese).

    [29] Yang X, Cheng S, Li J, et al. Characterization of chemical composition in PM2.5 in Beijing before, during, and after a large scale international event [J]. Aerosol & Air Quality Research, 2017, 17. doi: 10. 4209/aaqr. 2016. 07. 0321.

    [30] Li Y P, Zhou H, Zhang Z S, et al. Pollution characteristics of secondary water-soluble inorganic ions of PM2.5 in urban Chengdu, China [J]. Environmental Science, 2014, 35(12): 4439−4445. (in Chinese).

    [31] Cheng L J, Wang S, Gong Z Y, et al. Pollution trends of ozone and its characteristics of temporal and spatial distribution in Beijing-Tianjin-Hebei region [J]. Environmental Monitoring in China, 2017, 33(1): 14−21. (in Chinese).

    [32] Zhao B. Numerical simulation of the chemical components of fine particles and their response to precursor emissions [D]. Beijing: Tsinghua University, 2015. (in Chinese).

    [33] Sulong N A, Latif M T, Khan M F, et al. Source apportionment and health risk assessment among specific age groups during haze and non-haze episodes in Kuala Lumpur, Malaysia [J]. Science of the Total Environment, 2017, 601−602: 556−570.

    [34] Liu Y C, Wu Z J, Hu M. Advances in the phase state of secondary organic aerosol [J]. China Environmental Science, 2017, 37(5): 1637−1645. (in Chinese).

    [35] Solazzo E, Bianconi R, Pirovano G, et al. Operational model evaluation for particulate matter in Europe and North America in the context of AQMEII [J]. Atmospheric Environment, 2012, 53(6): 75−92.

    [36] Liu X G, Li J, Qu Y, et al. Formation and evolution mechanism of regional haze: a case study in the megacity Beijing, China [J]. Atmospheric Chemistry & Physics, 2013, 13(9): 4501−4514.

    [37] Miao Y C, Zheng Y J, Wang S, et al. Research on haze formation over Beijing-Tianjin-Hebei, China [J]. Climatic and Environmental Research, 2015, 20(3): 356−368. (in Chinese).

    [38] Yang Y, Tang G Q, Ji D S, et al. Effects of local circulation on atmospheric pollutants in Beijing-Tianjin-Hebei region during summer [J]. Chinese Journal of Environmental Engineering, 2015, 9(5): 2359−2367. (in Chinese).

    [39] Yang X W, Zhou Y, Cheng S Y, et al. Characteristics and formation mechanism of a heavy winter air pollution event in Beijing [J]. China Environmental Science, 2016, 36(3): 679−686. (in Chinese).

    [40] Ding M M, Zhou J N, Liu B X, et al. Pollution characteristics of NH4+, NO3, SO42− in PM2.5 and their precursor gases during 2015 in an urban area of Beijing [J]. Environmental Science, 2017, 38(4): 1307−1316. (in Chinese).

    [41] Lang J L. 基于大气污染物总量控制的区域污染源分级与优化减排技术研究 [D]. Beijing: Beijing University of Technology, 2013.

    [42] Jiang Y L. The source and formation mechanism of typical atmospheric pollutants in cities over China and their impact on air quality and coastal primary productivity [D]. Shanghai: Fudan University, 2011. (in Chinese).

    [43] Xue W B, Fu F, Wang J N, et al. Numerical study on the characteristics of regional transport of PM2.5 in China [J]. China Environmental Science, 2014, 34(6): 1361−1368. (in Chinese).

This Article



Vol 38, No. 03, Pages 801-811

March 2018


Article Outline


  • 1 Research methods
  • 2 Results and discussion
  • 3 Conclusions
  • References