基于多源资料和数值模拟的雾对PM<sub>2.5</sub>影响研究

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Abstract In order to explore the impact mechanism of fog on the PM_2.5 concentration during the process of the fog-haze, the multi-source observation data such as automatic meteorological station data, environmental hourly concentration data, microwave radiation data, wind profile radar, aerosol lidar, 255m meteorological tower data and WRF-Chem process analysis method were used to analyze the role of advection-radiation fog on the PM_2.5 in Tianjin from January 24 to 27, 2021. The results show that: The increasing in relative humidity during fog formation phase is attributed to the radiative cooling and advection, indicating that the fog type is advection-radiation fog. The water vapor was transported from top to down during the formation of fog. The fog-top height was 250m, and the bottom of the inversion layer height was 80~120m, so the fog-top height was higher than inversion layer bottom height during the process of the fog. Because the role of the relative humidity、vertical advection and turbulent mixing before fog formation, the PM_2.5 mass concentration of the ground and vertical direction was growth first then slowed again, and the overall benefit of PM_2.5 mass concentration was diffusion. According to the inversion layer bottom height, there were two situations of the role of fog on the PM_2.5 during the fog mature period. One was removing PM_2.5 when the fog height was higher than the bottom height of inversion. The other was scavenging PM_2.5 When the fog height was lower than the bottom height of inversion. The turbulent kinetic energy was active after fog dissipation, turbulent mixing amount of contribution -40~-23μg/(m³·h), fog was conducive to the ground PM_2.5 mass concentration diffusion.

Key words： fog PM_2.5 multi-source data turbulent mixing

Received: 07 September 2022

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X513

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	Articles by authors
	MENG Li-hong
	YANG Er-hui
	CAI Zi-ying
	HAO Jian
	YANG Jian-bo

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MENG Li-hong,YANG Er-hui,CAI Zi-ying等. The role of fog on the PM_2.5 based on multi-source data and numerical model[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(4): 1510-1518.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I4/1510

[1]	Zhang Y, Zhu B, Gao J H, et Al. The source apportionment of primary PM2.5 in an aerosol pollution event over Beijing-Tianjin-Hebei Region using WRF-Chem, China[J]. Aerosol&Air Quality Research, 2017,17(12):2966-2980.
[2]	Duan F K, He K B, Ma Y L, et al. Concentration and chemical characteristics of PM2.5 in Beijing, China:2001~2002[J]. Science of the Total Environment, 2006,355(1/2/3):264-275.
[3]	Li L, Wang W, Feng J L, et al. Composition, source, mass closure of PM2.5 aerosols for four forests in eastern China[J]. Journal of Environment Science, 2010,31(3):405-412.
[4]	Zhao X J, Zhao P S, Xu J, et al. Analysis of a winter regional haze event and its formation mechanism in the North China Plain[J]. Atmospheric Chemistry and Physics Discussions, 2013,13(1):903-933.
[5]	孟丽红,李英华,韩素芹,等.海陆风对天津市PM2.5和O3质量浓度的影响[J]. 环境科学研究, 2019,32(3):390-398. Meng L H, Li Y H, Han S Q, et a1. Influence of sea-land breeze on the concentrations of PM2.5 and O3 in Tianjin City[J]. Research of Environmental Science, 2019,32(3):390-398.
[6]	韩笑颜,周颖,吕喆,等.京津冀典型城市一次重污染过程特征及边界层结构变化对其影响[J]. 环境科学研究, 2020,33(10):2236-2245. Han X Y, Zhou Y, Lu Z, et a1. Characteristics of heavy air pollution process and influnce of structure variation of planetary boundary layer in typical cities of Beijing-Tianjin-Hebei Region[J]. Research of Environmental Science, 2020,33(10):2236-2245.
[7]	韩笑颜,周颖,吕喆,等.京津冀典型城市一次重污染过程特征及边界层结构变化对其影响[J]. 环境科学研究, 2020,33(10):2236-2245. Han X Y, Zhou Y, Lu Z, et a1. Characteristics of heavy air pollution process and influnce of structure variation of planetary boundary layer in typical cities of Beijing-Tianjin-Hebei Region[J]. Research of Environmental Science, 2020,33(10):2236-2245.
[8]	Wang M R, Kai K J, Sgimoto N B, et a1. Meterological factoers affecting winter particular air pollution in Ulaanbaatar from 2008 to 2016[J]. Asian Journal of Atmospheric Environment, 2018,12(3):244-254.
[9]	Leng C,Duan J, Xu C, et al, Insights into a historic severe haze event in Shanghai:synoptic situation, boundary layer and pollutants[J]. Atmospheric Chemistry and Physics, 2016,16(14):9221-9234.
[10]	廖晓农,张小玲,王迎春,等.北京地区冬夏季持续性雾霾发生的环境气象条件对比分析[J]. 环境科学, 2014,35(6):2031-2044. Liao X N, Zhang X L, Wang Y C,et al. Comparative analysis on meteorological condition for persistent haze cases in summer and winter in Beijing[J]. Environmental Science, 2014,35(6):2031-2044.
[11]	周述学,邓学良,王传辉,等.华东2018年冬季一次典型雾霾过程气象成因分析[J]. 高原气象, 2020,390(5):1110-1121. Zhou S X, Deng X L, Wang C H, et al. Analysis of meteorological conditions for a typical fog and haze event over eastern China in winter of 2018[J]. Plateau Meteorology, 2020,39(5):1110-1121.
[12]	Wang X Q, Wei W, Cheng S Y, et al. Characteristics and classification of PM2.5, pollution episodes in Beijing from 2013 to 2015[J]. Science of the Total Environment, 2018,612:170-179.
[13]	Hao T Y, Han S Q, Chen S C, et al. The role of fog in haze episode in Tianjin, China:A case study for November 2015[J]. Atmoshphere Research, 2017,194:235-244.
[14]	孟丽红,郝囝,邱晓滨,等,新冠疫情期间天津市重污染天气的边界层特征研究[J]. 环境工程技术学报, 2022,12(3):701-709. Meng L H, Hao J, Qiu X B, et al. Boundary layer characteristics of heavy pollution process in Tianjin during the epidemic period of COVID-19[J]. Journal of Environmental Engineering Technology, 2022,12(3):1-9.
[15]	蔡子颖,姚青,韩素芹等,气溶胶直接气候效应对天津气象和空气质量的影响[J]. 中国环境科学, 2017,37(3):908-914. Cai Z Y, Yao Q, Han S Q, et al. The Influnce of the air quality and meteoroligical field direct climate effect on Tianjin[J]. China Environmental Science, 2017,37(3):908-914.
[16]	孟丽红,杨旭,刘丽丽,等,气溶胶在重污染过程对气象和PM2.5的反馈作用[J]. 环境科学与技术, 2020,43(12):63-71. Meng L H, Yang X, Liu L L, et al. Feedback effect of aerosol radiation on meteorology and PM2.5 in heavy pollution process[J]. Environmental Science & Technology, 2020,43(12):63-71.
[17]	余文韬,吴振玲,何群英,等.天津天气预报手册[M]. 北京:气象出版社, 2015:83-92. Yu W T, Wu Z L, He Q Y, et al. The weather forecast manual of Tianjin[M]. Beijing:China Meteorological Press, 2015:83-92.
[18]	Ju T T, Wu B G, Zhang H S, et al. Parameterization of radiation fog-top height and methods evaluation in Tianjin[J]. Atmospheric, 2020,11(5480):1-18.
[19]	孟丽红,张敏,韩素芹.天津市郊区冬季大气边界层风、温场结构与特征[J]. 中国环境科学, 2012,32(10):1758-1763. Meng L H, Zhang M, Han S Q.Structures and characteristics of the atmospheric boundary layer in winter of the Tianjin suburb[J]. China Environmental Science, 2012,32(10):1758-1763.
[20]	姚青,刘敬乐,蔡子颖,等.天津一次雾-霾天气过程的近地层温湿结构和湍流特征分析[J]. 环境科学学报, 2018,38(10):3856-3867. Yao Q, Liu J L, Cai Z Y, et al. Analysis of temperature and moisture structure and turbulence characteristics of a smog and haze weather process in Tianjin[J]. Acta Scientiae Circumstantiae, 2018,38(10):3856-3867.
[21]	蔡子颖,韩素芹,吴彬贵,等.天津一次雾过程的边界层特征研究[J]. 气象, 2012,38(9):1103-1109. Cai Z Y, Han S Q, Wu B G, et al. Analysis an characteristics of atmospheric boundary layer during a fog process in Tianjin[J]. Meteorological Monthly, 2012,38(9):1103-1109.
[22]	Guo L J, Guo X L, Fang C Ci, et al. Observation analysis on characteristics of formation, evolution and transition of a long-lasting severe fog and haze episode in North China[J]. China Earth Science, 2015,58(3):329-344.
[23]	Liu H, Liu C, Xie Z, et al. A paradox for air pollution controlling in China revealed by "APEC Blue" and "Parade Blue"[J]. Scientific Reports, 2016,6:1-13.
[24]	GB/T 36542-2018 霾的观测识别[S]. GB/T 36542-2018 Haze identification for meteorological observation[S].
[25]	黄鹤,李英华,韩素芹,等.天津城市边界层湍流统计特征[J]. 高原气象, 2011,30(6):1481-1487. Hang H, Li Y H, Han S Q, et al. Turbulent statistic characteristic of the Urban boundary layer in Tianjin[J]. Plateau Mateorology, 2011, 30(6):1481-1487.
[26]	Wang S, Liao T T, Wang L L, et al. Process analysis of characteristics of the boundary layer during a heavy haze pollution episode in an inland megacity, China[J]. Journal of Environmental Science, 2016, 40:138-144.
[27]	宋秀瑜,曹念文,赵成,等.南京地区相对湿度对气溶胶含量的影响[J]. 中国环境科学, 2018,38(9):3240-3246. Song X Y, Cao N W, Zhao C,et al. Effect of relative humidity on aerosol content in Nanjing[J]. China Environmental Science, 2018, 38(9):3240-3246.
[28]	孟丽红,刘海玲,王炜,等.基于多源资料天津一次雾-霾过程的边界层特征研究[J]. 中国环境科学, 2022,42(9):4018-4025. Meng L H, Liu H L, Wang W,et al. Boundary layer characteristics of fog-haze in Tianjin based on multi-source data[J]. China Environmental Science, 2022,42(9):4018-4025.
[29]	李敏娜,牛生杰,张舒婷,等.南京雾-霾天气个例湍流运动特征的对比研究[J]. 气象学报, 2015,73(3):593-608. Li M N, Niu S J, Zhang S T,et al. Comparative study of turbulent characteritics between the fog day and haze day in Nanjing[J]. Acta Meterologica Sinica. 2015,73(3):593-608.
[30]	韩素芹,蔡子颖,姚青,等.大气边界层对天津重污染天气影响研究及应用[M]. 北京:气象出版社, 2020:80-81. Han S Q, Cai Z Y, Yao Q, et al. The research and application of the atmospheric boundary layer on heavy pollution in tianjin weather[M]. Beijing:China Meteorological Press, 2020:80-81.