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Characteristics of Aerosol Optical Properties and Their Potential Source in Hefei in Autumn |
OU Jin-ping1, LIU Hao-ran1*, ZHU Peng-cheng1, XU Heng1, WANG Zhuang2, TIAN Yuan1, LIU Guo-hua1, LI Qi-hua1 |
1. Institute of Physical Science and Information Technology, Anhui University, Hefei 230601, China
2. Key Lab of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China |
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Abstract Aerosols directly disturbs the earth’s radiation budget and climate by absorbing and scattering solar radiation, indirectly affecting the formation of cloud condensation nuclei, and further changing the optical properties. A field study was carried out using an aethelometer and nephelometer from 5 November to 10 December 2019 in Hefei. Based on the meteorological data, diurnal variation and wind dependence of the optical properties of aerosols were analyzed. The average PM2.5, aerosol scattering coefficient (σsp), absorption coefficient (σap) in autumn in Hefei were (43±25) μg·m-3, (238.70±161.52) Mm-1, and (32.04±17.01) Mm-1, respectively, and the trend of time variation of σsp and σap was consistent with PM2.5. The contents of PM2.5, σsp, and σap have significant double-peak daily variation characteristics, peaking at 8:00—10:00 and 20:00—21:00, which was mainly related to traffic emissions and meteorological conditions.The wind dependence of aerosol optical properties in Hefei mainly reflects that the weather conditions of low temperature, high humidity and low wind are conducive to the accumulation and formation of pollutants, but the higher wind speed is also easy to transport pollutants around. The σap and σsp were mainly affected by the pollution air mass in the northwest wind direction. Based on the HYSPLIT backward trajectory model, the spatial characteristics of different transport pathways were analyzed by cluster analysis, and the potential source contribution method (PSCF) and concentration weight trajectory method (CWT) were used to investigate the potential source area distribution of Hefei. The results showed that the polluted air masses mainly originated from the northwest of Hefei. The highest proportion of air masses 1 and 3 were from Inner Mongolia Autonomous Region and Xinjiang Uygur Autonomous Region. Air mass 2, which contributes more to the scattering coefficient, comes from Baoji City, Shaanxi Province, and air mass 6, which originates from Inner Mongolia, passes through Shanxi, Shandong and Jiangsu Provinces, and arrives at Hefei from the southeast of Anhui Province, carrying more pollutants. PSCF larger value was mainly distributed in the northwest and southwest of Hefei. The high CWT values in autumn in Hefei were mainly distributed in northeast Henan Province, southwest Shandong Province and North Anhui Province. In particular, Jining city in Shandong Province and Shangqiu city in Henan Province are the potential sources of air quality in Hefei.
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Received: 2020-08-04
Accepted: 2020-12-29
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Corresponding Authors:
LIU Hao-ran
E-mail: hrl@ahu.edu.cn
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[1] HUANG Cong-cong,MA Yan,ZHENG Jun(黄聪聪, 马 嫣, 郑 军). Environmental Science(环境科学), 2018,39(7): 2057.
[2] Wang T T,Du Z F,Tan T Y,et al. Atmospheric Environment,2019,206: 293.
[3] Xing C Z,Liu C,Wang S S,et al. Atmospheric Chemistry and Physics,2017,17(23): 14275.
[4] XIANG Hong,YU Jia-yan,WANG Jun,et al(向 洪,余家燕,王 军,等). 2018, 41(7): 110.
[5] Xing C Z,Liu C,Wang S S,et al. Atmospheric Measurement Techniques,2019,12(6): 3289.
[6] Tan H B,Liu L,Fan S J,et al. Atmospheric Environment,2016,131: 196.
[7] ZHOU Bian-hong,CAO Xia,ZHANG Rong-rui,et al(周变红,曹 夏,张容瑞,等). Journal of Atmospheric and Environmental Optics(大气与环境光学学报),2020,15(3): 196.
[8] Hong Q Q,Liu C,Hu Q H,et al. Atmospheric Research,2019,228(1): 206.
[9] GUO Qian,WANG Jia-yang,ZHOU Zi-hang,et al(郭 倩,汪嘉杨,周子航,等). Acta Scientiae Circumstantiae(环境科学学报),2018,38(2): 629.
[10] Jing J S,Wu Y F,Tao J,et al. Particuology,2015,18: 144.
[11] YAO Qing,HAN Su-qin,CAI Zi-ying,et al(姚 青,韩素芹,蔡子颖,等). China Environmental Science(中国环境科学),2012,32(5): 795.
[12] Xu J,Tao J,Zhang R,et al. Atmospheric Research,2012,109-110: 25.
[13] Zhang C X,Liu C,Hu Q,et al. Light: Science & Applications,2019,8(1): 100.
[14] Ma N,Zhao C S,Nowak A,et al. Atmospheric Chemistry and Physics,2011,11: 5959.
[15] ZHANG Xin,LI Zhong-qin,MING Jing,et al(张 昕,李忠勤,明 镜,等). Acta Scientiae Circumstantiae(环境科学学报),2019,39(1): 212. |
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