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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

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2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2022, Vol. 16 Issue (2) : 18    https://doi.org/10.1007/s11783-021-1452-0
RESEARCH ARTICLE
Formation of secondary inorganic aerosol in a frigid urban atmosphere
Yuan Cheng1, Qinqin Yu1, Jiumeng Liu1(), Youwen Sun2(), Linlin Liang3, Zhenyu Du4, Guannan Geng5, Wanli Ma1, Hong Qi1, Qiang Zhang6, Kebin He5
1. State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
2. Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
3. State Key Laboratory of Severe Weather & CMA Key Laboratory of Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing 100081, China
4. National Research Center for Environmental Analysis and Measurement, Environmental Development Center of the Ministry of Ecology and Environment, Beijing 100029, China
5. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
6. Department of Earth System Science, Tsinghua University, Beijing 100084, China
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Abstract

•Harbin showed relatively high threshold RH (80%) for apparent increase of SOR.

•The observed SOR were at the lower end of the ratios from Beijing’s winter.

•Temperature-dependent increase of NOR was sharper than that of SOR.

• NOR increased with stronger biomass burning impact but SOR was largely unchanged.

Formation of secondary inorganic aerosol (SIA) was investigated during a six-month long heating season in Harbin, China. Enhanced sulfate formation was observed at high relative humidity (RH), with the same threshold RH (80%) for both colder and warmer measurement periods. Compared to wintertime results from Beijing, the threshold RH was considerably higher in Harbin, whereas the RH-dependent enhancement of sulfur oxidation ratio (SOR) was less significant. In addition, the high RH events were rarely encountered, and for other periods, the SOR were typically as low as ~0.1. Therefore, the sulfate formation was considered inefficient in this study. After excluding the several cases with high RH, both SOR and the nitrogen oxidation ratio (NOR) exhibited increasing trends as the temperature increased, with the increase of NOR being sharper. The nitrate to sulfate ratio tended to increase with increasing temperature as well. Based on a semi-quantitative approach, this trend was attributed primarily to the temperature-dependent variations of precursors including SO2 and NO2. The influence of biomass burning emissions on SIA formation was also evident. With stronger impact of biomass burning, an enhancement in NOR was observed whereas SOR was largely unchanged. The different patterns were identified as the dominant driver of the larger nitrate to sulfate ratios measured at higher concentrations of fine particulate matter.

Keywords Haze      Sulfate      Nitrate      Heterogeneous chemistry      Biomass burning      Northeast China     
Corresponding Author(s): Jiumeng Liu,Youwen Sun   
Issue Date: 24 May 2021
 Cite this article:   
Yuan Cheng,Qinqin Yu,Jiumeng Liu, et al. Formation of secondary inorganic aerosol in a frigid urban atmosphere[J]. Front. Environ. Sci. Eng., 2022, 16(2): 18.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-021-1452-0
https://academic.hep.com.cn/fese/EN/Y2022/V16/I2/18
Fig.1  RH-dependent variations of SOR and NOR in (a) fall, (b) winter and (c) spring. Also shown are the RH-dependent variations of the sulfate to EC ratio and the nitrate to EC ratio during the respective periods (d–f). The same threshold RH for enhanced sulfate formation, i.e., 80%, was observed in different seasons. Due to the relatively high threshold RH, only a small number of samples (N = 8) showed RH-dependent increase of SOR during the six-month long period, as highlighted by the solid circles in (a)–(c). These samples are also highlighted using solid circles in (d)–(f). All these samples contained liquid water in aerosol-phase, as predicted by the E-AIM thermodynamic model which was run in the reverse mode by assuming an “H+–NH4+–SO42−–NO3–H2O” inorganic aerosol system. The predicted aerosol water contents (AWC) were ~7–23 and ~75–225 μg/m3 for the samples from warmer (i.e., fall and spring; N = 5) and colder (i.e., winter; N = 3) measurement periods, respectively. After RH exceeded 80%, concurrent increases of SOR, NOR, the sulfate to EC ratio and the nitrate to EC ratio were evident in winter (as highlighted by the dashed ovals), but this phenomenon was not apparent during fall and spring.
Fig.2  Two-dimensional histograms showing variations of (a) sulfate concentration and (b) the relative number of samples with the changes of RH and NO2. Bin width and height are 10% (for RH) and 10 μg/m3 (for NO2), respectively. The bins are colored by sulfate concentration in (a) and by the relative number of samples in (b). In (b), the bin with an RH range of 55%–65% and a NO2 range of 40–50 μg/m3 was found to have the largest number of samples (Nmax), then for each bin, the absolute number of samples was normalized by Nmax to determine the relative number of samples.
Fig.3  Temperature-dependent variations of (a) SOR, (b) NOR, (c) SO2, (d) NO2, (e) the sulfate to (PM2.5)* ratio, (f) the nitrate to (PM2.5)* ratio, (g) the nitrate to sulfate ratio and (h) the NO2 to SO2 ratio. Samples showing enhanced SOR at high RH (N = 8) are not involved. Lower and upper box bounds indicate the 25th and 75th percentiles, the whiskers below and above the box indicate the 5th and 95th percentiles, and the diamond within the box marks the median (the same hereinafter).
Fig.4  Comparison of (a) SOR, (b) NOR, (c) levoglucosan, (d) K+, (e) the nitrate to sulfate ratio and (f) the NO2 to SO2 ratio across different (PM2.5)* ranges. Samples showing enhanced SOR at high RH (N = 8) are not involved. The solid circles above and below the box indicate the maximum and minimum, respectively.
Fig.5  Dependences of (a) SOR, (b) NOR, (c) the nitrate to sulfate ratio and (d) the NO2 to SO2 ratio on levoglucosan. Samples showing enhanced SOR at high RH (N = 8) are not involved. Results from different daily average temperature ranges (i.e., below or above 0°C) are shown separately.
1 S K Akagi, J S Craven, J W Taylor, G R McMeeking, R J Yokelson, I R Burling, S P Urbanski, C E Wold, J H Seinfeld, H Coe, M J Alvarado, D R Weise (2012). Evolution of trace gases and particles emitted by a chaparral fire in California. Atmospheric Chemistry and Physics, 12(3): 1397–1421
https://doi.org/10.5194/acp-12-1397-2012
2 J J Cao, H M Xu, Q Xu, B H Chen, H D Kan (2012). Fine particulate matter constituents and cardiopulmonary mortality in a heavily polluted Chinese city. Environmental Health Perspectives, 120(3): 373–378
https://doi.org/10.1289/ehp.1103671
3 X R Chen, H C Wang, K D Lu, C M Li, T Y Zhai, Z F Tan, X F Ma, X P Yang, Y H Liu, S Y Chen, H B Dong, X Li, Z J Wu, M Hu, L M Zeng, Y H Zhang (2020). Field determination of nitrate formation pathway in winter Beijing. Environmental Science & Technology, 54(15): 9243–9253
https://doi.org/10.1021/acs.est.0c00972
4 Y Cheng, Q Q Yu, J M Liu, Z Y Du, L L Liang, G N Geng, W L Ma, H Qi, Q Zhang, K B He (2020). Secondary inorganic aerosol during heating season in a megacity in Northeast China: Evidence for heterogeneous chemistry in severe cold climate region. Chemosphere, 261: 127769
https://doi.org/10.1016/j.chemosphere.2020.127769
5 Y F Cheng, G J Zheng, C Wei, Q Mu, B Zheng, Z B Wang, M Gao, Q Zhang, K B He, G Carmichael, U Pöschl, H Su (2016). Reactive nitrogen chemistry in aerosol water as a source of sulfate during haze events in China. Science Advances, 2(12): e1601530
https://doi.org/10.1126/sciadv.1601530
6 B W Chu, Q X Ma, F K Duan, J Z Ma, J K Jiang, K B He, H He (2020). Atmospheric “haze chemistry”: Concept and research prospects. Progress in Chemistry, 32(1): 1–4
7 S Collier, S Zhou, T B Onasch, D A Jaffe, L Kleinman, A J Sedlacek III, N L Briggs, J Hee, E Fortner, J E Shilling, D Worsnop, R J Yokelson, C Parworth, X L Ge, J Z Xu, Z Butterfield, D Chand, M K Dubey, M S Pekour, S Springston, Q Zhang (2016). Regional influence of aerosol emissions from wildfires driven by combustion efficiency: insights from the BBOP campaign. Environmental Science & Technology, 50(16): 8613–8622
https://doi.org/10.1021/acs.est.6b01617
8 X Dao, Y C Lin, F Cao, S Y Di, Y H Hong, G H Xing, J J Li, P Q Fu, Y L Zhang (2019). Introduction to the national aerosol chemical composition monitoring network of China: Objectives, current status, and outlook. Bulletin of the American Meteorological Society, 100(12): ES337–ES351
https://doi.org/10.1175/BAMS-D-18-0325.1
9 Z Y Du, K B He, Y Cheng, F K Duan, Y L Ma, J M Liu, X L Zhang, M Zheng, R J Weber (2014). A yearlong study of water-soluble organic carbon in Beijing I: Sources and its primary vs. secondary nature. Atmospheric Environment, 92: 514–521
https://doi.org/10.1016/j.atmosenv.2014.04.060
10 M S Gen, R F Zhang, D D Huang, Y J Li, C K Chan (2019). Heterogeneous oxidation of SO2 in sulfate production during nitrate photolysis at 300 nm: Effect of pH, relative humidity, irradiation intensity, and the presence of organic compounds. Environmental Science & Technology, 53(15): 8757–8766
https://doi.org/10.1021/acs.est.9b01623
11 H Y Li, J Cheng, Q Zhang, B Zheng, Y X Zhang, G J Zheng, K B He (2019a). Rapid transition in winter aerosol composition in Beijing from 2014 to 2017: Response to clean air actions. Atmospheric Chemistry and Physics, 19(17): 11485–11499
https://doi.org/10.5194/acp-19-11485-2019
12 Y C Li, J Liu, H Han, T L Zhao, X Zhang, B L Zhuang, T J Wang, H M Chen, Y Wu, M M Li (2019b). Collective impacts of biomass burning and synoptic weather on surface PM2.5 and CO in Northeast China. Atmospheric Environment, 213: 64–80
https://doi.org/10.1016/j.atmosenv.2019.05.062
13 J M Liu, P F Wang, H L Zhang, Z Y Du, B Zheng, Q Q Yu, G J Zheng, Y L Ma, M Zheng, Y Cheng, Q Zhang, K B He (2020a). Integration of field observation and air quality modeling to characterize Beijing aerosol in different seasons. Chemosphere, 242: 125195
https://doi.org/10.1016/j.chemosphere.2019.125195
14 M X Liu, Y Song, T Zhou, Z Y Xu, C Q Yan, M Zheng, Z J Wu, M Hu, Y S Wu, T Zhu (2017). Fine particle pH during severe haze episodes in northern China. Geophysical Research Letters, 44(10): 5213–5221
https://doi.org/10.1002/2017GL073210
15 P F Liu, C Ye, C Y Xue, C L Zhang, Y J Mu, X Sun (2020b). Formation mechanisms of atmospheric nitrate and sulfate during the winter haze pollution periods in Beijing: Gas-phase, heterogeneous and aqueous-phase chemistry. Atmospheric Chemistry and Physics, 20(7): 4153–4165
https://doi.org/10.5194/acp-20-4153-2020
16 X X Liu, Y Zhang, L G Huey, R J Yokelson, Y Wang, J L Jimenez, P Campuzano-Jost, A J Beyersdorf, D R Blake, Y Choi, J M St Clair, J D Crounse, D A Day, G S Diskin, A Fried, S R Hall, T F Hanisco, L E King, S Meinardi, T Mikoviny, B B Palm, J Peischl, A E Perring, I B Pollack, T B Ryerson, G Sachse, J P Schwarz, I J Simpson, D J Tanner, K L Thornhill, K Ullmann, R J Weber, P O Wennberg, A Wisthaler, G M Wolfe, L D Ziemba (2016). Agricultural fires in the southeastern U.S. during SEAC4RS: Emissions of trace gases and particles and evolution of ozone, reactive nitrogen, and organic aerosol. Journal of Geophysical Research: Atmospheres, 121(12): 7383–7414
https://doi.org/10.1002/2016JD025040
17 L L Ming, L Jin, J Li, P Q Fu, W Y Yang, D Liu, G Zhang, Z F Wang, X D Li (2017). PM2.5 in the Yangtze River Delta, China: Chemical compositions, seasonal variations, and regional pollution events. Environmental Pollution, 223: 200–212
https://doi.org/10.1016/j.envpol.2017.01.013
18 W T Morgan, J D Allan, S Bauguitte, E Darbyshire, M J Flynn, J Lee, D T Liu, B Johnson, J Haywood, K M Longo, P E Artaxo, H Coe (2020). Transformation and aging of biomass burning carbonaceous aerosol over tropical South America from aircraft in-situ measurements during SAMBBA. Atmospheric Chemistry and Physics, 20(9): 5309–5326
https://doi.org/10.5194/acp-20-5309-2020
19 G Myhre, B H Samset, M Schulz, Y Balkanski, S Bauer, T K Berntsen, H Bian, N Bellouin, M Chin, T Diehl, R C Easter, J Feichter, S J Ghan, D Hauglustaine, T Iversen, S Kinne, A Kirkevåg, J F Lamarque, G Lin, X Liu, M T Lund, G Luo, X Ma, T van Noije, J E Penner, P J Rasch, A Ruiz, Ø Seland, R B Skeie, P Stier, T Takemura, K Tsigaridis, P Wang, Z Wang, L Xu, H Yu, F Yu, J H Yoon, K Zhang, H Zhang, C Zhou (2013). Radiative forcing of the direct aerosol effect from AeroCom Phase II simulations. Atmospheric Chemistry and Physics, 13(4): 1853–1877
https://doi.org/10.5194/acp-13-1853-2013
20 National Bureau of Statistics of China (2019). China Statistical Yearbook. Beijing: China Statistics Press
21 J J Orlando, G S Tyndall (2012). Laboratory studies of organic peroxy radical chemistry: an overview with emphasis on recent issues of atmospheric significance. Chemical Society Reviews, 41(19): 6294–6317
https://doi.org/10.1039/c2cs35166h
22 Y L Sun, Z F Wang, P Q Fu, Q Jiang, T Yang, J Li, X L Ge (2013). The impact of relative humidity on aerosol composition and evolution processes during wintertime in Beijing, China. Atmospheric Environment, 77: 927–934
https://doi.org/10.1016/j.atmosenv.2013.06.019
23 G H Wang, R Y Zhang, M E Gomez, L X Yang, M L Zamora, M Hu, Y Lin, J F Peng, S Guo, J J Meng, J J Li, C L Cheng, T F Hu, Y Q Ren, Y S Wang, J Gao, J J, Cao Z S An, W J Zhou, G H Li, J Y Wang, P F Tian, W Marrero-Ortiz, J Secrest, Z F Du, J Zheng, D J Shang, L M Zeng, M Shao, W G Wang, Y Huang, Y Wang, Y J Zhu, Y X Li, J X Hu, B W Pan, L Cai, Y T Cheng, Y M, Ji F Zhang, D Rosenfeld, P S Liss, R A Duce, C E Kolb, M J Molina (2016). Persistent sulfate formation from London Fog to Chinese haze. Proceedings of the National Academy of Sciences of the United States of America, 113(48): 13630–13635
24 J F Wang, J Y Li, J H Ye, J Zhao, Y Z Wu, J L Hu, D T Liu, D Y Nie, F Z Shen, X P Huang, D D Huang, D S Ji, X Sun, W Q Xu, J P Guo, S J Song, Y M Qin, P F Liu, J R Turner, H C Lee, S Hwang, H Liao, S T Martin, Q Zhang, M D Chen, Y L Sun, X L Ge, D J Jacob (2020a). Fast sulfate formation from oxidation of SO2 by NO2 and HONO observed in Beijing haze. Nature Communications, 11(1): 2844
https://doi.org/10.1038/s41467-020-16683-x
25 X K Wang, R Gemayel, N Hayeck, S Perrier, N Charbonnel, C H Xu, H Chen, C Zhu, L W Zhang, L Wang, S A Nizkorodov, X M Wang, Z Wang, T Wang, A Mellouki, M Riva, J M Chen, C George (2020b). Atmospheric photosensitization: A new pathway for sulfate formation. Environmental Science & Technology, 54(6): 3114–3120
https://doi.org/10.1021/acs.est.9b06347
26 R J Weber, H Y Guo, A G Russell, A Nenes (2016). High aerosol acidity despite declining atmospheric sulfate concentrations over the past 15 years. Nature Geoscience, 9(4): 282–285
https://doi.org/10.1038/ngeo2665
27 C Ye, P F Liu, Z B Ma, C Y Xue, C L Zhang, Y Y Zhang, J F Liu, C T Liu, X Sun, Y J Mu (2018). High H2O2 concentrations observed during haze periods during the winter in Beijing: importance of H2O2 oxidation in sulfate formation. Environmental Science & Technology Letters, 5(12): 757–763
https://doi.org/10.1021/acs.estlett.8b00579
28 S Yin, X F Wang, X R Zhang, Z X Zhang, Y Xiao, H Tani, Z Y Sun (2019). Exploring the effects of crop residue burning on local haze pollution in Northeast China using ground and satellite data. Atmospheric Environment, 199: 189–201
https://doi.org/10.1016/j.atmosenv.2018.11.033
29 R J Yokelson, J D Crounse, P F DeCarlo, T Karl, S Urbanski, E Atlas, T Campos, Y Shinozuka, V Kapustin, A D Clarke, A Weinheimer, D J Knapp, D D Montzka, J Holloway, P Weibring, F Flocke, W Zheng, D Toohey, P O Wennberg, C Wiedinmyer, L Mauldin, A Fried, D Richter, J Walega, J L Jimenez, K Adachi, P R Buseck, S R Hall, R Shetter (2009). Emissions from biomass burning in the Yucatan. Atmospheric Chemistry and Physics, 9(15): 5785–5812
https://doi.org/10.5194/acp-9-5785-2009
30 Q Zhang, J L Jimenez, M R Canagaratna, J D Allan, H Coe, I Ulbrich, M R Alfarra, A Takami, A M Middlebrook, Y L Sun, K Dzepina, E Dunlea, K Docherty, P F DeCarlo, D Salcedo, T Onasch, J T Jayne, T Miyoshi, A Shimono, S Hatakeyama, N Takegawa, Y Kondo, J Schneider, F Drewnick, S Borrmann, S Weimer, K Demerjian, P Williams, K Bower, R Bahreini, L Cottrell, R J Griffin, J Rautiainen, J Y Sun, Y M Zhang, D R Worsnop (2007). Ubiquity and dominance of oxygenated species in organic aerosols in anthropogenically-influenced Northern Hemisphere midlatitudes. Geophysical Research Letters, 34(13): L13801
https://doi.org/10.1029/2007GL029979
31 R Zhang, X S Sun, A J Shi, Y H Huang, J Yan, T Nie, X Yan, X Li (2018). Secondary inorganic aerosols formation during haze episodes at an urban site in Beijing, China. Atmospheric Environment, 177: 275–282
https://doi.org/10.1016/j.atmosenv.2017.12.031
32 B Zheng, D Tong, M Li, F Liu, C P Hong, G N Geng, H Y Li, X Li, L Q Peng, J Qi, L Yan, Y X Zhang, H Y Zhao, Y X Zheng, K B He, Q Zhang (2018). Trends in China’s anthropogenic emissions since 2010 as the consequence of clean air actions. Atmospheric Chemistry and Physics, 18(19): 14095–14111
https://doi.org/10.5194/acp-18-14095-2018
33 G J Zheng, F K Duan, H Su, Y L Ma, Y Cheng, B Zheng, Q Zhang, T Huang, T Kimoto, D Chang, U Pöschl, Y F Cheng, K B He (2015). Exploring the severe winter haze in Beijing: The impact of synoptic weather, regional transport and heterogeneous reactions. Atmospheric Chemistry and Physics, 15(6): 2969–2983
https://doi.org/10.5194/acp-15-2969-2015
34 G J Zheng, H Su, S W Wang, M O Andreae, U Pöschl, Y F Cheng (2020). Multiphase buffer theory explains contrasts in atmospheric aerosol acidity. Science, 369(6509): 1374–1377
https://doi.org/10.1126/science.aba3719
35 S Zhou, S Collier, D A Jaffe, N L Briggs, J Hee, A J Sedlacek III, L Kleinman, T B Onasch, Q Zhang (2017). Regional influence of wildfires on aerosol chemistry in the western US and insights into atmospheric aging of biomass burning organic aerosol. Atmospheric Chemistry and Physics, 17(3): 2477–2493
https://doi.org/10.5194/acp-17-2477-2017
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