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Engineering >> 2022, Volume 16, Issue 9 doi: 10.1016/j.eng.2021.05.017

The Significant Contribution of Small-Sized and Spherical Aerosol Particles to the Decreasing Trend in Total Aerosol Optical Depth over Land from 2003 to 2018

a State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences, Beijing 100081, China
b Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China

Received: 2021-01-20 Revised: 2021-04-09 Accepted: 2021-05-06 Available online: 2021-08-12

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Abstract

The optical and microphysical properties of aerosols remain one of the greatest uncertainties associated with evaluating the climate forcing attributed to aerosols. Although the trends in aerosol optical depth (AOD) at global and regional scales have been widely examined, little attention has been paid to the trends in type-dependent AODs related to aerosol particle properties. Here, using the aerosol optical component dataset from the Multi-angle Imaging SpectroRadiometer (MISR) instrument, we investigate decadal-scale trends in total aerosol loading as well as AODs for five aerosol components by particle size and morphology during 2003–2018 over land. Relationships between the total AOD (TAOD) trends and type-dependent AOD changes were examined, and the relative contribution of each type-dependent AOD to the overall TAOD trends was quantified. By dividing the TAOD values into four different aerosol pollution levels (APLs) with splits at 0.15, 0.40, and 0.80, we further explored the relationships between TAOD changes and interannual variations in the frequency-of-occurrences (FoOs) of these APLs. Long-term trends in FoOs in the different APLs show that there was a significant improvement in air quality between 2003 and 2018 in most land areas, except South Asia, corresponding to a shift from lightly polluted to clean conditions. However, the effects of different APLs on TAOD changes are regionally dependent and their extent of correlation varied spatially. Moreover, we observed that the annual mean TAOD has decreased by 0.47%·a−1 over land since 2003 (P < 0.05). This significant reduction was mainly attributed to the continued reduction in small-sized (< 0.7 mm diameter) AOD (SAOD) (−0.74%·a−1) and spherical AOD (SPAOD) (−0.46%·a−1). Statistical analysis shows that SAOD and SPAOD respectively accounted for 57.5% and 89.6% of the TAOD, but contributed 82.6% and 90.4% of the trend in TAOD. Our study suggests that small-sized and spherical aerosols composed of sulfate, organic matter, and black carbon play a dominant role in determining interannual variability in land TAOD.

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References

[ 1 ] Kaufman YJ, Koren I. Smoke and pollution aerosol effect on cloud cover. Science 2006;313:655–8. link1

[ 2 ] Ramanathan V, Carmichael G. Global and regional climate changes due to black carbon. Nat Geosci 2008;1(4):221–7. link1

[ 3 ] Koren I, Altaratz O, Remer LA, Feingold G, Martins JV, Heiblum RH. Aerosolinduced intensification of rain from the tropics to the mid-latitudes. Nat Geosci 2012;5(2):118–22. link1

[ 4 ] Li Z, Lau WKM, Ramanathan V, Wu G, Ding Y, Manoj MG, et al. Aerosol and monsoon climate interactions over Asia. Rev Geophys 2016;54(4):866–929. link1

[ 5 ] Yang Y, Russell LM, Lou S, Liao H, Guo J, Liu Y, et al. Dust–wind interactions can intensify aerosol pollution over eastern China. Nat Commun 2017;8(1):15333. link1

[ 6 ] Jiang JH, Su H, Huang L, Wang Y, Massie S, Zhao B, et al. Contrasting effects on deep convective clouds by different types of aerosols. Nat Commun 2018;9 (1):3874. link1

[ 7 ] Huang X, Ding A, Wang Z, Ding K, Gao J, Chai F, et al. Amplified transboundary transport of haze by aerosol–boundary layer interaction in China. Nat Geosci 2020;13(6):428–34. link1

[ 8 ] Xu Y, Liu Y, Han Z, Zhou B, Ding Y, Wu J, et al. Influence of human activities on wintertime haze-related meteorological conditions over the Jing–Jin–Ji region. Engineering 2021;7(8):1185–92.

[ 9 ] Ding Y, Wu P, Liu Y, Song Y. Environmental and dynamic conditions for the occurrence of persistent haze events in north China. Engineering 2017;3 (2):266–71. link1

[10] Liu C, Gao M, Hu Q, Brasseur GP, Carmichael GR. Stereoscopic monitoring: a promising strategy to advance diagnostic and prediction of air pollution. Bull Am Meteorol Soc 2021;102(4):1–19. link1

[11] Xing C, Liu C, Wang S, Chan KL, Gao Y, Huang X, et al. Observations of the vertical distributions of summertime atmospheric pollutants and the corresponding ozone production in Shanghai, China. Atmos Chem Phys 2017;17(23):14275–89. link1

[12] Xue T, Zhu T, Zheng Y, Zhang Q. Declines in mental health associated with air pollution and temperature variability in China. Nat Commun 2019;10:2165. link1

[13] Lelieveld J, Evans JS, Fnais M, Giannadaki D, Pozzer A. The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature 2015;525(7569):367–71. link1

[14] Liu H, Long Z, Duan Z, Shi H. A new model using multiple feature clustering and neural networks for forecasting hourly PM2.5 concentrations, and its applications in China. Engineering 2020;6(8):944–56. link1

[15] Hu J, Huang L, Chen M, Liao H, Zhang H, Wang S, et al. Premature mortality attributable to particulate matter in China: source contributions and responses to reductions. Environ Sci Technol 2017;51(17):9950–9. link1

[16] Gui K, Che H, Chen Q, Zeng Z, Zheng Yu, Long Q, et al. Water vapor variation and the effect of aerosols in China. Atmos Environ 2017;165:322–35. link1

[17] Koren I, Martins JV, Remer LA, Afargan H. Smoke invigoration versus inhibition of clouds over the amazon. Science 2008;321(5891):946–9. link1

[18] Zhao B, Jiang JH, Diner DJ, Su H, Gu Yu, Liou KN, et al. Intra-annual variations of regional aerosol optical depth, vertical distribution, and particle types from multiple satellite and ground-based observational datasets. Atmos Chem Phys 2018;18(15):11247–60. link1

[19] Liu Y, Hua S, Jia R, Huang J. Effect of aerosols on the ice cloud properties over the Tibetan Plateau. J Geophys Res Atoms 2019;124(16):9594–608. link1

[20] Pozzer A, de Meij A, Yoon J, Tost H, Georgoulias AK, Astitha M. AOD trends during 2001–2010 from observations and model simulations. Atmos Chem Phys 2015;15(10):5521–35. link1

[21] Zhao B, Jiang JH, Gu Y, Diner D, Worden J, Liou KN, et al. Decadal-scale trends in regional aerosol particle properties and their linkage to emission changes. Environ Res Lett 2017;12(5):054021. link1

[22] Hammer MS, Martin RV, Li C, Torres O, Manning M, Boys BL. Insight into global trends in aerosol composition from 2005 to 2015 inferred from the OMI ultraviolet aerosol index. Atmos Chem Phys 2018;18(11):8097–112. link1

[23] Che H, Gui K, Xia X, Wang Y, Holben BN, Goloub P, et al. Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth. Atmos Chem Phys 2019;19(16):10497–523. link1

[24] Li L, Che H, Derimian Y, Dubovik O, Luan Q, Li Q, et al. Climatology of fine and coarse mode aerosol optical thickness over East and South Asia derived from POLDER/PARASOL satellite. J Geophys Res Atmos 2020;125(16): e2020JD032665.

[25] Stocker TF, Qin D, Plattner GK, Tignor MMB, Allen SK, Boschung J, editors. Climate change 2013 the physical science basis. Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press; 2013. link1

[26] Diner DJ, Beckert JC, Reilly TH, Bruegge CJ, Conel JE, Kahn RA, et al. Multi-Angle Imaging Spectroradiometer (MISR) instrument description and experiment overview. IEEE Trans Geosci Remote Sens 1998;36(4):1072–87. link1

[27] Kahn R, Banerjee P, McDonald D. Sensitivity of multiangle imaging to natural mixtures of aerosols over ocean. J Geophys Res Atmos 2001;106 (D16):18219–38. link1

[28] Garay MJ,Witek ML, Kahn RA, Seidel FC, Limbacher JA, Bull MA, et al. Introducing the 4.4 km spatial resolution multi-angle imaging spectroradiometer (MISR) aerosol product. Atmos Meas Tech 2020;13(2):593–628. link1

[29] Diner DJ, Martonchik JV, Kahn RA, Pinty B, Gobron N, Nelson DL, et al. Using angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land. Remote Sens Environ 2005;94(2):155–71. link1

[30] Kahn RA, Gaitley BJ, Garay MJ, Diner DJ, Eck TF, Smirnov A, et al. Multiangle imaging spectroradiometer global aerosol product assessment by comparison with the aerosol robotic network. J Geophys Res Atmos 2010;115:D23209. link1

[31] Kahn RA, Gaitley BJ. An analysis of global aerosol type as retrieved by MISR. J Geophys Res 2015;120(9):4248–81. link1

[32] Kahn R, Petzold A, Wendisch M, Bierwirth E, Dinter T, Esselborn M, et al. Desert dust aerosol air mass mapping in the western Sahara, using particle properties derived from space-based multi-angle imaging. Tellus B Chem Phys Meterol 2009;61(1):239–51. link1

[33] Inness A, Ades M, Agustí-Panareda A, Barré J, Benedictow A, Blechschmidt AM, et al. The CAMS reanalysis of atmospheric composition. Atmos Chem Phys 2019;19(6):3515–56. link1

[34] Buchard V, Randles CA, da Silva AM, Darmenov A, Colarco PR, Govindaraju R, et al. The MERRA-2 aerosol reanalysis, 1980-onward, part I: system description and data assimilation evaluation. J Clim 2017;30:6851–72. link1

[35] Mann HB. Nonparametric tests against trend. Econometrica 1945;13 (3):245–59. link1

[36] Kendall MG. Rank correlation methods. 4th ed. London: Charles Griffin; 1975. link1

[37] Xu C, Ma Y, Yang K, You C. Tibetan Plateau impacts on global dust transport in the upper troposphere. J Clim 2018;31(12):4745–56. link1

[38] Zhu J, Xia X, Che H, Wang J, Cong Z, Zhao T, et al. Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China. Atmos Chem Phys 2019;19(23):14637–56. link1

[39] Zhao C, Yang Y, Fan H, Huang J, Fu Y, Zhang X, et al. Aerosol characteristics and impacts on weather and climate over the Tibetan Plateau. Natl Sci Rev 2020;7 (3):492–5.

[40] Zubkova M, Boschetti L, Abatzoglou JT, Giglio L. Changes in fire activity in Africa from 2002 to 2016 and their potential drivers. Geophys Res Lett 2019;46 (13):7643–53. link1

[41] David LM, Ravishankara AR, Kodros JK, Venkataraman C, Sadavarte P, Pierce JR, et al. Aerosol optical depth over India. J Geophys Res Atmos 2018;123 (7):3688–703. link1

[42] Koren I, Remer LA, Longo K. Reversal of trend of biomass burning in the Amazon. Geophys Res Lett 2007;34(20):2–5. link1

[43] Hammer MS, van Donkelaar A, Li C, Lyapustin A, Sayer AM, Hsu NC, et al. Global estimates and long-term trends of fine particulate matter concentrations (1998–2018). Environ Sci Technol 2020;54(13):7879–90. link1

[44] Zhang F, Wang Y, Peng J, Chen L, Sun Y, Duan L, et al. An unexpected catalyst dominates formation and radiative forcing of regional haze. Proc Natl Acad Sci USA 2020;117(8):3960–6. link1

[45] Zhang C, Liu C, Hu Q, Cai Z, Su W, Xia C, et al. Satellite UV–Vis spectroscopy: implications for air quality trends and their driving forces in China during 2005–2017. Light Sci Appl 2019;8(1):100. link1

[46] Zhang C, Liu C, Chan KL, Hu Q, Liu H, Li B, et al. First observation of tropospheric nitrogen dioxide from the environmental trace gases monitoring instrument onboard the GaoFen-5 satellite. Light Sci Appl 2020;9(1):66. link1

[47] Zhang Q, Zheng Y, Tong D, Shao M, Wang S, Zhang Y, et al. Drivers of improved PM2.5 air quality in China from 2013 to 2017. Proc Natl Acad Sci USA 2019;116 (49):24463–9. link1

[48] Xie M, Duan H, Kang P, Qiao Q, Bai L. Toward an ecological civilization: China’s progress as documented by the second national general survey of pollution sources. Engineering 2021;7(9):1336–41.

[49] Lu X, Zhang S, Xing J, Wang Y, Chen W, Ding D, et al. Progress of air pollution control in China and its challenges and opportunities in the ecological civilization era. Engineering 2020;6(12):1423–31. link1

[50] Klingmüller K, Pozzer A, Metzger S, Stenchikov GL, Lelieveld J. Aerosol optical depth trend over the Middle East. Atmos Chem Phys 2016;16(8):5063–73. link1

[51] Jin Q, Pryor SC. Long-term trends of high aerosol pollution events and their climatic impacts in north America using multiple satellite retrievals and modern-era retrospective analysis for research and applications version 2. J Geophys Res Atmos 2020;125(4): e2019JD031137.

[52] Zheng B, Tong D, Li M, Liu F, Hong C, Geng G, et al. Trends in China’s anthropogenic emissions since 2010 as the consequence of clean air actions. Atmos Chem Phys 2018;18(19):14095–111. link1

[53] Wang X, Liu J, Che H, Ji F, Liu J. Spatial and temporal evolution of natural and anthropogenic dust events over northern China. Sci Rep 2018;8(1):2141. link1

[54] Liu J, Wu D, Liu G, Mao R, Chen S, Ji M, et al. Impact of Arctic amplification on declining spring dust events in East Asia. Clim Dyn 2020;54(3–4):1913–35. link1

[55] Yao W, Gui K, Wang Y, Che H, Zhang X. Identifying the dominant local factors of 2000–2019 changes in dust loading over East Asia. Sci Total Environ 2021;777:146064. link1

[56] Zhou D, Ding K, Huang X, Liu L, Liu Q, Xu Z, et al. Transport, mixing and feedback of dust, biomass burning and anthropogenic pollutants in eastern Asia: a case study. Atmos Chem Phys 2018;18(22):16345–61. link1

[57] Sun T, Che H, Qi B, Wang Y, Dong Y, Xia X, et al. Aerosol optical characteristics and their vertical distributions under enhanced haze pollution events: effect of the regional transport of different aerosol types over eastern China. Atmos Chem Phys 2018;18(4):2949–71. link1

[58] Wang J, Xia X, Wang P, Christopher SA. Diurnal variability of dust aerosol optical thickness and Angström exponent over dust source regions in China. Geophys Res Lett 2004;31(8):L08107. link1

[59] Christopher SA, Wang J. Intercomparison between Multi-Angle Imaging Spectroradiometer (MISR) and sunphotometer aerosol optical thickness in dust source regions over China: implications for satellite aerosol retrievals and radiative forcing calculations. Tellus B Chem Phys Meterol 2004;56(5):451–6. link1

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