Abstract
Five years of PM2.5/PM10 ratios and their potential relationships with wind and relative humidity (RH) were analyzed for three areas in Beijing (northwestern mountainous area, urban area and southern suburbs), and these values were compared with those of five other cities, including Tianjin, Dalian, Hangzhou, Shanghai and Guangzhou. In the past five years, both PM2.5 and PM10 mass concentrations have decreased over the three Beijing regions, particularly during winters. The PM2.5/PM10 ratios have distinct seasonal characteristics, with more frequent high ratios in winter than in other seasons. The high ratio frequency decrease is most evident in winter and in the southern Beijing suburbs. This fine particle proportion decrease is related to air pollution control policies, including the national project ‘Coal to Gas’. High PM2.5/PM10 ratios are linked to heavy pollution levels and low wind speeds, indicating the importance of PM2.5 accumulation during pollution events in Beijing. The higher PM2.5/PM10 ratios in Beijing are also closely related to southerly winds and high humidity, indicating the contribution of anthropogenic pollution transported from the south. Due to similar geographic environments, Tianjin is similar to Beijing in terms of the frequency distribution characteristics of the PM2.5/PM10 ratios. The coastal city of Dalian is further north and not similar to Beijing or Tianjin, owing to a sea breeze influence. Different from Beijing and Tianjin, the southern cities of Hangzhou, Shanghai and Guangzhou show almost no change in the PM2.5/PM10 ratio frequency distribution with increases in wind speed and relative humidity.
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References
Abbas, I., Verdin, A., Escande, F., Saint-Georges, F., Cazier, F., Mulliez, P., Courcot, D., Shirali, P., Gosset, P., Garçon, G.: In vitro short-term exposure to air pollution PM2.5–0.3 induced cell cycle alterations and genetic instability in a human lung cell coculture model. Environ. Res. 147, 146–158 (2016). https://doi.org/10.1016/j.envres.2016.01.041
An, J., Zhang, R., Han, Z.: Seasonal changes of Total suspended particles in the air of 15 big cities in northern parts of China. Climatic Environ. Res. 1, 25–29 (2000)
Bian, Y.X., Zhao, C.S., Ma, N., Chen, J., Xu, W.Y.: A study of aerosol liquid water content based on hygroscopicity measurements at high relative humidity in the North China plain. Atmos. Chem. Phys. 14(12), 6417–6426 (2014)
Chan, C., Yao, X.: Air pollution in mega cities in China. Atmos. Environ. 42, 1–42 (2008). https://doi.org/10.1016/j.atmosenv.2007.09.003
Chen, H., Chen, W.Y.: Potential impact of shifting coal to gas and electricity for building sectors in 28 major northern cities of China. Appl. Energy. 236, 1049–1061 (2019a). https://doi.org/10.1016/j.apenergy.2018.12.051
Chen, N., Cao, W., Ding, Q., Liu, D., Hui, H., Qu, J., Tian, Y.: Analysis on PM2.5/PM10 Ratio and Spatialand Temporal Distribution Characteristics of PM2.5 in Hubei. Environ. Sci. Manag. 42(01), 98–102 (2017) (in Chinese)
Chen, Z., Chen, D., Wen, W., Zhuang, Y., Kwan, M.P., Chen, B., Zhao, B., Yang, L., Gao, B., Li, R., Xu, B.: Evaluating the “2+26” regional strategy for air quality improvement during two air pollution alerts in Beijing: variations in PM2.5 concentrations, source apportionment, and the relative contribution of local emission and regional transport. Atmos. Chem. Phys. 19(10), 6879–6891 (2019b). https://doi.org/10.5194/acp-19-6879-2019
Cheng, S., Lang, J., Zhou, Y., Han, L., Wang, G., Chen, D.: A new monitoring-simulation-source apportionment approach for investigating the vehicular emission contribution to the PM2.5 pollution in Beijing, China. Atmos. Environ. 79, 308–316 (2013). https://doi.org/10.1016/j.atmosenv.2013.06.043
Ding, Y.H.: The Summer Monsoon in East Asia. In: Monsoons over China. Atmospheric Sciences Library. 16, 1–90. Springer, Dordrecht (1994). https://doi.org/10.1007/978-94-015-8302-2_1
Du, H., Kong, L., Cheng, T., Chen, J., Du, J., Li, L., Xia, X., Leng, C., Huang, G.: Insights into summertime haze pollution events over Shanghai based on online water-soluble ionic composition of aerosols. Atmos. Environ. 45(29), 5131–5137 (2011). https://doi.org/10.1016/j.atmosenv.2011.06.027
Duan, J., Chen, Y., Fang, W., Su, Z.: Characteristics and relationship of PM, PM10, PM2. 5 concentration in a polluted city in Northern China. Procedia Eng. 102, 1150–1155 (2015). https://doi.org/10.1016/j.proeng.2015.01.239
Elminir, H.K.: Dependence of urban air pollutants on meteorology. Sci. Total Environ. 350(1), 225–237 (2005). https://doi.org/10.1016/j.scitotenv.2005.01.043
EPA, (2018). https://airnowtest.epa.gov/sites/default/files/2018-09/aqi-technical-assistance-document-sept-2018_0.pdf. http://www.airqualitynow.eu/about_indices_definition.php
Fan, H., Zhao, C., Yang, Y.: A comprehensive analysis about the spatio-temporal variation of urban air pollution in China during recent years of 2014–2018. Atmos. Environ. 220, (2019). https://doi.org/10.1016/j.atmosenv.2019.117066
Fang, M., Chan, C.K., Yao, X.: Managing air quality in a rapidly developing nation: China. Atmos. Environ. 43(1), 79–86 (2009). https://doi.org/10.1016/j.atmosenv.2008.09.064
Feng, X., Li, Q., Zhu, Y., Wang, J., Liang, H., Xu, R.: Formation and dominant factors of haze pollution over Beijing and its peripheral areas in winter. Atmos. Pollut. Res. 5(3), 528–538 (2014). https://doi.org/10.5094/APR.2014.062
Fotourehchi, Z.: Health effects of air pollution: An empirical analysis for developing countries. Atmos. Pollut. Res. 7(1), 201–206 (2016). https://doi.org/10.1016/j.apr.2015.08.011
Guo, T., Ma, Y., He, K.: Study on spatial distribution of PM2.5/PM10 in regional atmospheric environment. Chinese J. Environ. Eng. 3(01), 147–150 (2009a) (in Chinese)
Guo, J.P., Zhang, X.Y., Che, H.Z., Gong, S.L., An, X., Cao, C.X., Guang, J., Zhang, H., Zhang, X.C., Xue, M., Li, X.W.: Correlation between PM concentrations and aerosol optical depth in eastern China. Atmos. Environ. 43(37), 5876–5886 (2009b). https://doi.org/10.1016/j.atmosenv.2009.08.026
Harder, S.D., Soukup, J.M., Ghio, A.J., Devlin, R.B., Becker, S.: Inhalation of PM2.5 does not modulate host defense or immune parameters in blood or lung of normal human subjects. Environ. Health Perspect. 109(4), 599–604 (2001). https://doi.org/10.1289/ehp.01109s4599
Harrison, R.M., Deacon, A.R., Jones, M.R., Appleby, R.S.: Sources and processes affecting concentrations of PM10 and PM2.5 particulate matter in Birmingham (U.K.). Atmos. Environ. 31(24), 4103–4117 (1997). https://doi.org/10.1016/S1352-2310(97)00296-3
Hu, X., Liu, S., Wang, Y., Li, J.: Numerical simulation of wind and temperature fields over Beijing area in summer. Acta Meteorologica Sinica. 19, 120–127 (2003)
Huang, L., Wang, G., Wang, H., Gao, X., Wang, L.: Pollution level of the airborne particulate matter (PM10, PM2.5) in Nanjing City. China Environ. Sci. 22(4), 334–337 (2002) (in Chinese)
Jeffrey, R.B., Dann, T.F., Burnett, R.T.: The relationship among TSP, PM10, PM2.5, and inorganic constituents of atmospheric participate matter at multiple Canadian locations. J. Air Waste Manage. Assoc. 47, 12–19 (1997). https://doi.org/10.1080/10473289.1997.10464407
Kulshrestha, A., Satsangi, P.G., Masih, J., Taneja, A.: Metal concentration of PM2.5 and PM10 particles and seasonal variations in urban and rural environment of Agra, India. Sci. Total Environ. 407(24), 6196–6204 (2009). https://doi.org/10.1016/j.scitotenv.2009.08.050
Lawrence, M.G.: The relationship between relative humidity and the dewpoint temperature in moist air: a simple conversion and applications. B. Am. Me. Soc. 86(2), 225–234 (2005). https://doi.org/10.1175/BAMS-86-2-225
Li, C., Mao, J., Lau, A.K.H., Yuan, Z., Wang, M., Liu, X.: Application of MODIS satellite products to the air pollution research in Beijing. Sci. China Ser. D. 48(II), 209–219 (2005). https://doi.org/10.1360/05yd0395
Li, L., Qian, J., Ou, C., Zhou, Y., Guo, C., Guo, Y.: Spatial and temporal analysis of air pollution index and its timescale-dependent relationship with meteorological factors in Guangzhou, China, 2001–2011. Environ. Pollut. 190, 75–81 (2014). https://doi.org/10.1016/j.envpol.2014.03.020
Li, T., Cao, S., Fan, D., Zhang, Y., Wang, B., Zhao, X., Leaderer, B.P., Shen, G., Zhang, Y., Duan, X.: Household concentrations and personal exposure of PM2.5 among urban residents using different cooking fuels. Sci. Total Environ. 548, 6–12 (2016). https://doi.org/10.1016/j.scitotenv.2016.01.038
Liao, X.N., Zhang, X.L., Wang, Y.C., Liu, W.D., Du, J., Zhao, L.H.: Comparative analysis on meteorological condition for persistent haze cases in summer and winter in Beijing. Huan Jing ke Xue. 35(6), 2031–2044 (2014)
Lin, C., Li, Y., Yuan, Z., Lau, A.K.H., Li, C., Fung, J.C.H.: Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM2.5. Remote Sens. Environ. 156, 117–128 (2015). https://doi.org/10.1016/j.rse.2014.09.015
Lin, C.Q., Li, C.C., Lau, A.K.H., Yuan, Z.B., Lu, X.C., Tse, K.T., Fung, J.C.H., Li, Y., Yao, T., Su, L., Li, Z.Y., Zhang, Y.Q.: Assessment of satellite-based aerosol optical depth using continuous lidar observation. Atmos. Environ. 140, 273–282 (2016). https://doi.org/10.1016/j.atmosenv.2016.06.012
Ma, L., Li, M., Zhang, H., Li, L., Huang, Z., Gao, W., Chen, D., Fu, Z., Nian, H., Zou, L., Gao, J., Chai, F., Zhou, Z.: Comparative analysis of chemical composition and sources of aerosol particles in urban Beijing during clear, hazy, and dusty days using single particle aerosol mass spectrometry. J. Clean. Prod. 112, 1319–1329 (2016). https://doi.org/10.1016/j.jclepro.2015.04.054
Ma, Q., Wu, Y., Zhang, D., Wang, X., Xia, Y., Liu, X., Tian, P., Han, Z., Xia, X., Wang, Y., Zhang, R.: Roles of regional transport and heterogeneous reactions in the PM2.5 increase during winter haze episodes in Beijing. Sci. Total Environ. 599–600, 246–253 (2017). https://doi.org/10.1016/j.scitotenv.2017.04.193
Ning, D.T., Zhong, L.X., Chung, Y.S.: Aerosol size distribution and elemental composition in urban areas of northern China. Atmos. Environ. 30(13), 2355–2362 (1996)
Qiao, L., Cai, J., Wang, H., Wang, W., Zhou, M., Lou, S., Chen, R., Dai, H., Chen, C., Kan, H.: PM2.5 Constituents and Hospital Emergency-Room Visits in Shanghai, China. Environ. Sci. Technol. 48(17), 10406–10414 (2014). https://doi.org/10.1021/es501305k
Querol, X., Alastuey, A., Rodriguez, S., Plana, F., Ruiz, C.R., Cots, N., Massagué, G., Puig, O.: PM10 and PM2.5 source apportionment in the Barcelona Metropolitan area, Catalonia. Spain. Atmos. Environ. 35(36), 6407–6419 (2001). https://doi.org/10.1016/S1352-2310(01)00361-2
Querol, X., Alastuey, A., Ruiz, C.R., Artiñano, B., Hansson, H.C., Harrison, R.M., Buringh, E., Tan Brink, H.M., Lutz,M., Bruckmann, P., Straehl, P., Schneider, J.: Speciation and origin of PM10 and PM2.5 in selected European cities. Atmos. Environ. 38(38), 6547–6555 (2004). https://doi.org/10.1016/j.atmosenv.2004.08.037
Saliba, N.A., El Jam, F., El Tayar, G., Obeid, W., Roumie, M.: Origin and variability of particulate matter (PM10 and PM2.5) mass concentrations over an Eastern Mediterranean city. Atmos. Res. 97(1), 106–114 (2010). https://doi.org/10.1016/j.atmosres.2010.03.011
Sancini, G., Farina, F., Battaglia, C., Cifola, I., Mangano, E., Mantecca, P., Camatini, M., Palestini, P.: Health Risk Assessment for Air Pollutants: Alterations in Lung and Cardiac Gene Expression in Mice Exposed to Milano Winter Fine Particulate Matter (PM2.5). PLoS One. 9(10), e109685 (2014). https://doi.org/10.1371/journal.pone.0109685
Shen, G., Du, W., Zhuo, S., Yu, J., Tao, S.: Improving regulations on residential emissions and non-criteria hazardous contaminants—insights from a field campaign on ambient PM and PAHs in North China plain. Environ. Sci. Pol. 92, 201–206 (2019). https://doi.org/10.1016/j.envsci.2018.12.003
Štefancová, L., Schwarz, J., Maenhaut, W., Chi, X., Smolík, J.: Hygroscopic growth of atmospheric aerosol sampled in Prague 2008 using humidity controlled inlets. Atmos. Res. 98(2–4), 237–248 (2010). https://doi.org/10.1016/j.atmosres.2010.04.009
Tan, J., Guo, S., Ma, Y., Duan, J., Cheng, Y., He, K., Yang, F.: Characteristics of particulate PAHs during a typical haze episode in Guangzhou. China. Atmos. Res. 102(1), 91–98 (2011). https://doi.org/10.1016/j.atmosres.2011.06.012
Tiwari, S., Hopke, P.K., Pipal, A.S., Srivastava, A.K., Bisht, D.S., Tiwari, S., Singh, A.K., Soni, V.K., Attri, S.D.: Intra-urban variability of particulate matter (PM2. 5 and PM10) and its relationship with optical properties of aerosols over Delhi, India. Atmos. Res. 166, 223–232 (2015). https://doi.org/10.1016/j.atmosres.2015.07.007
Wang, J., Ogawa, S.: Effects of Meteorological Conditions on PM2.5 Concentrations in Nagasaki, Japan. Int. J. Environ. Res. Public Health. 12(8), 9089–9101 (2015). https://doi.org/10.3390/ijerph120809089
Wang, J., Zhang, Y., Shao, M., Liu, X., Zeng, L., Cheng, C., Xu, X.: Quantitative relationship between visibility and mass concentration of PM2.5 in Beijing. J. Environ. Sci. 18(3), 475–481 (2006)
Wang, S., Feng, X., Zeng, X., Ma, Y., Shang, K.: A study on variations of concentrations of particulate matter with different sizes in Lanzhou, China. Atmos. Environ. 43(17), 2823–2828 (2009). https://doi.org/10.1016/j.atmosenv.2009.02.021
Wang, Z., Liu, D., Wang, Z., Wang, Y., Khatri, P., Zhou, J., Takamura, T., Shi, G.: Seasonal characteristics of aerosol optical properties at the SKYNET Hefei site (31.90°N, 117.17°E) from 2007 to 2013. J. Geophys. Res. Atmos. 119, 6128–6139 (2014). https://doi.org/10.1002/2014JD021500
Wang, C., Tu, Y., Yu, Z., Lu, R.: PM2.5 and Cardiovascular Diseases in the Elderly: An Overview. Int. J. Env. Res. Pub. He. 12(7), 8187–8197 (2015a). https://doi.org/10.3390/ijerph120708187
Wang, L., Liu, Z., Sun, Y., Ji, D., Wang, Y.: Long-range transport and regional sources of PM2.5 in Beijing based on long-term observations from 2005 to 2010. Atmos. Res. 157, 37–48 (2015b). https://doi.org/10.1016/j.atmosres.2014.12.003
Wang, Y., Lin, Z., Huang, H., He, H., Chen, T., Yang, T., Ren, N., Jiang, Y., Xu, W., Kamp, D.W., Liu, T., Liu, G.: AMPK is required for PM2.5-induced autophagy in human lung epithelial A549 cells. Int. J. Clin. Exp. Med. 8(1), 58–72 (2015c)
Wang, X., Wei, W., Cheng, S., Li, J., Zhang, H., Lv, Z.: Characteristics and classification of PM2.5 pollution episodes in Beijing from 2013 to 2015. Sci. Total Environ. 612(15), 170–179 (2017). https://doi.org/10.1016/j.scitotenv.2017.08.206
Wu, G., Hu, W., Teng, E., Wei, F.: PM2.5 and PM10 pollution level in the four cities in China. China Environ. Sci. 02, 133–137 (1999) (in Chinese)
Wu, Z.J., Wang, Y., Tan, T.Y., Zhu, Y.S., Li, M.R., Shang, D.J., Wang, H.C., Lu, K.D., Guo, S., Zeng, L.M., Zhang, Y.H.: Aerosol liquid water driven by anthropogenic inorganic salts: implying its key role in haze formation over the North China plain. Environ. Sci. Tech. Let. 5(3), 160–166 (2018). https://doi.org/10.1021/acs.estlett.8b00021
Xia, X.: A critical assessment of direct radiative effects of different aerosol types on surface global radiation and its components. J. Quant. Spectrosc. Radiat. Transf. 149(72–80), 72–80 (2014). https://doi.org/10.1016/j.jqsrt.2014.07.020
Xu, X., Zhang, T.: Spatial-temporal variability of PM2.5 air quality in Beijing, China during 2013–2018. J. Environ. Manag. 262, 110263 (2020). https://doi.org/10.1016/j.jenvman.2020.110263
Xu, G., Jiao, L., Zhang, B., Zhao, S., Yuan, M., Gu, Y., Liu, J., Tang, X.: Spatial and Temporal Variability of the PM2.5/PM10 Ratio in Wuhan, Central China. Aerosol Air Qual. Res. 17, 741–751 (2017). https://doi.org/10.4209/aaqr.2016.09.0406
Yan, S., Cao, H., Chen, Y., Wu, C., Hong, T., Fan, H.: Spatial and temporal characteristics of air quality and air pollutants in 2013 in Beijing. Environ. Sci. Pollut. R. 23(14), 13996–14007 (2016). https://doi.org/10.1007/s11356-016-6518-3
Yan, D., Lei, Y., Shi, Y., Zhu, Q., Li, L., Zhang, Z.: Evolution of the spatiotemporal pattern of PM2.5 concentrations in China – A case study from the Beijing-Tianjin-Hebei region. Atmos. Environ. 183, 225–233 (2018). https://doi.org/10.1016/j.atmosenv.2018.03.041
Yang, F., He, K., Ma, Y., Zhang, Q., Yu, X.: Variation characteristics of PM2.5 concentration and its relationship with PM10 and TSP. China Environ. Sci. 22(6), 506–510 (2002) (in Chinese)
Yang, X., Li, Z., Liu, L., Zhou, L., Cribb, M., Zhang, F.: Distinct weekly cycles of thunderstorms and a potential connection with aerosol type in China. Geophys. Res. Lett. 43, 8760–8768 (2016a). https://doi.org/10.1002/2016GL070375
Yang, X., Zhao, C.F., Zhou, L.J., Wang, Y., Liu, X.: Distinct impact of different types of aerosols on surface solar radiation in China. J. Geophys. Res. Atmos. 121, 6459–6471 (2016b). https://doi.org/10.1002/2016JD024938
Yang, X., Zhao, C.F., Guo, J.P., Wang, Y.: Intensification of aerosol pollution associated with its feedback with surface solar radiation and winds in Beijing. J. Geophys. Res. Atmos. 121, 4093–4099 (2016c). https://doi.org/10.1002/2015JD024645
Yang, X., Zhao, C.F., Zhou, L.J., Li, Z.Q., Cribb, M., Yang, S.J.: Wintertime cooling and a potential connection with transported aerosols in Hong Kong during recent decades. Atmos. Res. 211, 52–61 (2018a). https://doi.org/10.1016/j.atmosres.2018.04.029
Yang, X., Zhou, L., Zhao, C.F., Yang, J.: Impact of aerosols on tropical cyclone induced precipitation over the mainland of China. Clim. Chang. 147(411), 1–13 (2018b). https://doi.org/10.1007/s10584-018-2175-5
Yin, P., Guo, J., Wang, L., Fan, W., Lu, F., Guo, M., Moreno, A. B. R., Wang, Y., Wang, H., Zhou, M., Zhao, D.: Higher risk of cardiovascular disease associated with smaller size-fractioned particulate matter. Environ. Sci. Technol. Let. 7(2), 95–101 (2020). https://doi.org/10.1021/acs.estlett.9b00735
Yoon, S.-C., Kim, J.: Influences of relative humidity on aerosol optical properties and aerosol radiative forcing during ACE-Asia. Atmos. Environ. 40(23), 4328–4338 (2006). https://doi.org/10.1016/j.atmosenv.2006.03.036
Zhang, X., Wang, Y., Lin, W., Zhang, Y., Zhang, X., Gong, S., Zhao, P., Yang, Y., Wang, J., Hou, Q., Zhang, X., Che, H., Guo, J., Li, Y.: Changes of atmospheric composition and optical properties over Beijing 2008 Olympic monitoring campaign. BAMS. 90(11), 1633–1649 (2009). https://doi.org/10.1175/2009BAMS2804.1
Zhang, L., Liu, L., Zhao, Y., Gong, S., Zhang, X., Henze, D.K., Capps, S.L., Fu, T.M., Zhang, Q., Wang, Y.: Source attribution of particulate matter pollution over North China with the adjoint method. Environ. Res. Lett. 10(8), 084011 (2015a)
Zhang, Z., Zhang, X., Gong, D., Quan, W., Zhao, X., Ma, Z., Kim, S.J.: Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing. Atmos. Environ. 108, 67–75 (2015b). https://doi.org/10.1016/j.atmosenv.2015.02.071
Zhang, B., Xia, Y., Long, B., Hobbins, M., Zhao, X., Hain, C., Li, Y., Anderson, M.C.: Evaluation and comparison of multiple evapotranspiration data models over the contiguous United States: Implications for the next phase of NLDAS (NLDAS-Testbed) development. Agric. For. Meteorol. 280, 107810 (2020a). https://doi.org/10.1016/j.agrformet.2019.107810
Zhang, Y., Guo, J., Yang, Y., Wang, Y., Yim, S.H.: Vertical Wind Shear Modulates Particulate Matter Pollutions: A Perspective from Radar Wind Profiler Observations in Beijing, China. Remote Sens. 12(3), 546 (2020b). https://doi.org/10.3390/rs12030546
Zhao, X., Zhang, X., Xu, X., Xu, J., Meng, W., Pu, W.: Seasonal and diurnal variations of ambient PM2.5 concentration in urban and rural environments in Beijing. Atmos. Environ. 43(18), 2893–2900 (2009). https://doi.org/10.1016/j.atmosenv.2009.03.009
Zhao, C., Wang, Y., Wang, Y., Zhang, H., Zhao, B.: Temporal and spatial distribution of PM2.5 and PM10 pollution status and the correlation of particulate matters and meteorological factors during winter and spring in Beijing. Environmental. Science. 35(2), 418–427 (2014) http://europepmc.org/abstract/MED/24812928
Zhao, H., Che, H., Ma, Y., Xia, X., Wang, Y., Wang, P., Wu, X.: Temporal variability of the visibility, particulate matter mass concentration and aerosol optical properties over an urban site in Northeast China. Atmos. Res. 166, 204–212 (2015). https://doi.org/10.1016/j.atmosres.2015.07.003
Zhao, C., Li, Y.N., Zhang, F., Sun, Y.L., Wang, P.C.: Growth rates of fine aerosol particles at a site near Beijing in June 2013. Adv. Atmos. Sci. 35(2), 209–217 (2018). https://doi.org/10.1007/s00376-017-7069-3
Zhao, C., Wang, Y., Shi, X., Zhang, D., Wang, C.: Estimating the contribution of local primary emissions to particulate pollution using high density station observations. J. Geophys. Res. Atmos. 124(3), 1648–1661 (2019). https://doi.org/10.1029/2018JD028888
Zheng, G., Duan, F., Su, H., Ma, Y., Cheng, Y., Zheng, B., Zhang, Q., Huang, T., Kimoto, T., Chang, D., Pöschl, U., Cheng, Y., He, K.: Exploring the severe winter haze in Beijing: the impact of synoptic weather, regional transport and heterogeneous reactions. Atmos. Chem. Phys. 15, 2969–2983 (2015). https://doi.org/10.5194/acp-15-2969-2015
Zhuang, G., Guo, J., Yuan, H., Zhao, C.: The compositions, sources, and size distribution of the dust storm from China in spring of 2000 and its impact on the global environment. Chin. Sci. Bull. 46(11), 895–900 (2001). https://doi.org/10.1007/BF02900460
Zíková, N., Wang, Y., Yang, F., Li, X., Tian, M., Hopke, P.K.: On the source contribution to Beijing PM2.5 concentrations. Atmos. Environ. 134, 84–95 (2016). https://doi.org/10.1016/j.atmosenv.2016.03.047
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This work was supported by the Ministry of Science and Technology of China (2017YFC1501403).
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Li, Z., Yang, X., Zhao, C. et al. Ratio of PM2.5 to PM10 Mass Concentrations in Beijing and Relationships with Pollution from the North China Plain. Asia-Pacific J Atmos Sci 57, 421–434 (2021). https://doi.org/10.1007/s13143-020-00203-4
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DOI: https://doi.org/10.1007/s13143-020-00203-4