2019年秋冬季京津冀与周边地区污染传输特征分析

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Abstract In this study, combined with atmospheric environment observation data, potential source analysis (PSCF) and concentration weight trajectory analysis (CWT), as well as transport matrix and transport flux calculation methods based on WRF-CMAQ model, were used to analyze the characteristics and causes of air pollution in typical cities in Beijing-Tianjin-Hebei in autumn and winter of 2019, and to quantitatively evaluate the characteristics and causes of air pollution in the Beijing-Tianjin-Hebei region and surrounding provinces between PM_2.5 transmission contribution. The results show that the Beijing-Tianjin-Hebei region is more polluted in winter than in autumn, and PM_2.5 concentration has a significant positive correlation with relative humidity and a significant negative correlation with wind speed during heavy pollution periods. The potential source regions of Typical Beijing-Tianjin-Hebei cities Beijing, Tianjin and Shijiazhuang are mainly distributed in Beijing-Tianjin-Hebei, Shanxi, central Inner Mongolia and Shandong, which is basically consistent with CWT results. In the Beijing-Tianjin-Hebei region, local emission contributed most to PM_2.5 emissions. The local contribution of Beijing, Tianjin and Hebei ranged from 54.33% to 66.01%, and the contribution of transmission from outside the Beijing-Tianjin-Hebei region ranged from 0.11% to 26.54%. Transport flux results show that PM_2.5 transport in winter is mainly influenced by upper-level northwest airflow, especially in clean weather, where high wind speed drives air mass inflow. In autumn, it is mainly affected by low level southeast airflow. The inflow/outflow and vertical distribution of transport flux show a non-linear response relationship with pollution level and RH. The dominant wind direction changes lead to a significantly larger transport effect before heavy pollution than during heavy pollution, and a significantly smaller transport effect in high RH than in low RH.

Key words： PSCF CWT WRF-CMAQ transmission contribution transmission flux PM_2.5

Received: 11 February 2022

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X513

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	Articles by authors
	BAI Wei-chao
	WANG Xiao-qi
	CHENG Shui-yuan
	ZHANG Zhi-da
	QI Peng
	GUAN Pan-bo
	CHEN Hao-yuan

Cite this article:

BAI Wei-chao,WANG Xiao-qi,CHENG Shui-yuan等. Pollution transport characteristics of Beijing - Tianjin - Hebei region and its surrounding areas in January 2019[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(9): 4086-4099.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I9/4086

[1]	贺克斌,杨复沫,段凤魁,等.大气颗粒物与区域复合污染 [M]. 北京:科学出版社, 2011. He K B, Yang F M, Duan F K, et al. Atmospheric particulate matter and regional combined pollution [M]. Beijing: Science Press, 2011.
[2]	李颜君,安兴琴,范广洲,等.北京地区大气颗粒物输送路径及潜在源分析 [J]. 中国环境科学, 2019,39(3):915-927. Li Y J, An X Q, Fan G Z. Transport pathway and potential source area of atmospheric particulates in Beijing [J]. China Environmental Science, 2019,39(3):915-927.
[3]	薛文博,付飞,王金南,等.中国PM2.5跨区域传输特征数值模拟研究 [J]. 中国环境科学, 2014,34(6):1361-1368. Xue W B, Fu F, Wang J N, et al. Numerical study on the characteristics of regional transport of PM2.5 in China [J]. China Environmental Science, 2014,34(6):1361-1368.
[4]	Zhang H Y, Cheng S Y, Yao S, et al. Insights into the temporal and spatial characteristics of PM2.5 transport flux across the district city and region in the North China Plain [J]. Atmospheric Environment, 2019,218:117010.
[5]	张智答,王晓琦,张晗宇,等.京津冀地区典型城市秋冬季PM2.5输送特征研究 [J]. 中国环境科学, 2021,41(3):993-1004. Zhang Z D, Wang X Q, Zhang H Y, et al. PM2.5 transport characteristics of typical cities in Beijing-Tianjin-Hebei Region in autumn and winter [J]. China Environmental Science, 2021,41(3): 993-1004.
[6]	Miao Y, Liu S, Guo J, et al. Impacts of meteorological conditions on wintertime PM2.5 pollution in Taiyuan, North China [J]. Environmental Science and Pollution Research, 2018,25(22):21855- 21866.
[7]	Li H, Duan F, Ma Y, et al. Case study of spring haze in Beijing: characteristics, formation processes, secondary transition, and regional transportation [J]. Environmental Pollution, 2018,242(Part A):544- 554.
[8]	Lang J, Tian J, Zhou Y, et al. A high temporal-spatial resolution air pollutant emission inventory for agricultural machinery in China [J]. Journal of Cleaner Production, 2018,183(MAY10):1110-1121.
[9]	Li S, Lang J, Zhou Y, et al. Trends in ammonia emissions from light-duty gasoline vehicles in China, 1999~2017 [J]. The Science of the Total Environment, 2020,700(Jan.15):134359.1-134359.9.
[10]	Gao M, Carmichael G R, Wang Y, et al. Modeling study of the 2010regional haze event in the North China Plain [J]. Atmospheric Chemistry and Physics Discussions, 2015,15(16):22781-22822.
[11]	孔珊珊,刘厚凤,陈义珍,等.基于后向轨迹模式的北京市PM2.5来源分布及传输特征探讨 [J]. 中国环境管理, 2017,9(1):86-90. Kong S S, Liu H F, Chen Y Z. Discussion on the source distribution and transmission characteristics of PM2.5 in Beijing based on Backward Trajectory Model [J]. Chinese Journal of Environmental Management, 2017,9(1):86-90.
[12]	Liu Y M, Hong Y Y, Fan Q, et al. Source-receptor relationships for PM2.5 during typical pollution episodes in the Pearl River Delta city cluster, China [J]. Science of the Total Environment, 2017,596- 597:194-206.
[13]	Begum B A, Kim E, Jeong C H, et al. Evaluation of the potential source contribution function using the 2002 Quebec forest fire episode [J]. Atmospheric Environment, 2005,39(20):3719-3724.
[14]	Wang Y Q, Zhang X Y, Arimoto R. The contribution from distant dust sources to the atmospheric particulate matter loadings at Xian, China during spring [J]. Science of the Total Environment, 2006,368(2): 875-883.
[15]	Lang J L, Zhou Y, Chen D S, et al. Investigating the contribution of shipping emissions to atmospheric PM2.5 using a combined source apportionment approach [J]. Environmental Pollution, 2017,229:557- 566.
[16]	程水源,王传达,张晗宇.跨界地区大气边界层以下PM2.5传输通量数值模拟量化的方法: CN110569528A [P]. 2019-12-13. Cheng S Y, Wang C D, Zhang H Y. Method for numerical simulation and quantification of PM2.5 transmission flux below atmospheric boundary layer of transboundary region. CN110569528A [P]. 2019- 12-13.
[17]	Zhang H, Cheng S, Yao S, et al. Multiple perspectives for modeling regional PM2.5 transport across cities in the Beijing-Tianjin-Hebei region during haze episodes. Atmospheric Environment, 2019,212:22- 35.
[18]	郝建奇,葛宝珠,王自发,等.2013年京津冀地区重污染特征及气象条件分析 [J]. 环境科学学报, 2017,37(8):3032-3043. Hao J Q, Ge B Z, Wang Z F, et al. Characteristics and meteorological conditions analysis of severe haze events over Beijing-Tianjin-Hebei area [J]. Acta Scientiae Circumstance, 2017,37(8):3032-3043.
[19]	Zhang B E, Jiao LM, Xu G, et al. Influences of wind and precipitation on different-sized particulate matter concentrations (PM2.5, PM10, PM2.5-10) [J]. Meteorology and Atmospheric Physics, 2018,130(3): 383-392.
[20]	张晗宇,程水源,姚森,等.2016年10~11月期间北京市大气颗粒物污染特征与传输规律 [J]. 环境科学, 2019,40(5):1999-2009. Zhang H Y, Cheng S Y, Yao S, et al. Pollution characteristics and regional transport of atmospheric Particulate matter in Beijing from October to November, 2016 [J]. Environmental Science, 2019,40(5): 1999-2009.
[21]	陈颢元,王晓琦,程水源,等.京津冀和长三角地区一次重霾过程气象成因及传输特征分析 [J]. 中国环境科学, 2021,41(6):2481-2492. Chen H Y, Wang X Q, Cheng S Y, et al. Analysis of meteorological causes and transmission characteristics of a heavy haze process in Beijing Tianjin Hebei and Yangtze River Delta [J]. China Environmental Science, 2021,41(6):2481-2492.
[22]	聂赛赛,王帅,崔建升等.石家庄市大气污染物的季节性时空特征及潜在源区 [J]. 环境科学, 2021,42(11):5131-5142. Nie S S, Wang S, Cui J S, et al. Spatio-Temporal Characteristics and Potential Source Areas of Seasonal Atmospheric Pollution in Shijiazhuang [J]. Environmental Science, 2021,42(11):5131-5142.
[23]	王琰玮,王媛,张增凯,等.不同季节天津市PM2.5与O3潜在源区及传输路径分析 [J]. 环境科学研究, 2022,35(3):673-682. Wang Y W, Wang Y, Zhang Z K, et al. Analysis of Potential Source Areas and Transport Pathways of PM2.5 and O3 in Tianjin by Season [J]. Research of Environmental Sciences, 2022,35(3):673-682.
[24]	钤伟妙,张艳品,陈静,等.石家庄大气污染物输送通道及污染源区研究 [J]. 环境科学学报, 2018,38(9):3438-3448. Qian W M, Zhang Y P, Chen J, et al. Air pollutant transport channels and its potential sources in Shijiazhuang [J]. Acta Scientiae Circumstantiates, 2018,38(9):3438-3448.
[25]	Cheng S, Lang J, Zhou Y, et al. A new monitoring-simulation-source apportionment approach for investigating the vehicular emission contribution to the PM2.5 pollution in Beijing, China [J]. Atmospheric Environment, 2013,79:308-306.
[26]	Metin B, Ulas I, Alper U. Evaluation of impact of residential heating on air quality of megacity is tanbur by CMAQ [J]. Science of the Total Environment, 2019,651:1688-1697.
[27]	Zhang H Y, Cheng S Y, Yao S, et al. Multiple perspectives for modeling regional PM2.5 transport across cities in the Beijing- Tianjin-Hebei region during haze episodes [J]. Atmospheric Environment, 2019,212:22-35.
[28]	崔继宪,郎建垒,陈添,等.2016年北京市空气质量特征及PM2.5传输规律 [J]. 北京工业大学学报, 2018,44(12):1547-1555. Cui J X, Lang J L, Chen T, et al. Characteristics of Beijing's Air Quality and Regional Transport of PM2.5 in 2016 [J]. Journal of Beijing University of Technology, 2018,42(12):1547-1555.
[29]	王燕丽,薛文博,雷宇,等.京津冀区域PM2.5污染相互输送特征 [J]. 环境科学, 2017,38(12):4897-4904. Wang Y L, Xue W B, Lei Y, et al. Regional transport matrix study of PM2.5 in Jing-Jin-Ji region [J]. Environmental Science, 2017,38(12): 4897-4904.
[30]	Gao M, Carmichael G R, Wang Y, et al. Modeling study of the 2010 regional haze event in the North China Plain [J]. Atmospheric Chemistry & Physics, 2016,15(16):22781-22822.
[31]	梁晓宇,单春艳,孟瑶,等.唐山一次冬季重污染过程污染特征及成因分析 [J]. 中国环境科学, 2019,39(5):1804-1812. Liang X Y, Shan C Y, Meng Y, et al. Characteristics and formation mechanism of a heavy winter air pollution event in Tangshan [J]. China Environmental Science, 2019,39(5):1804-1812.
[32]	Chang X, Wang S X, Zhao B, et al. Assessment of inter-city transport of particulate matter in the Beijing–Tianjin–Hebei region [J]. Atmosphere Chemistry and Physics, 18,4843–4858,2018.
[33]	Zhang Z D, Wang X Q, Cheng S Y, et al. Investigation on the difference of PM2.5 transport flux between the North China Plain and the Sichuan Basin [J]. Atmospheric Environment, 2022,271:118922.
[34]	王郭臣,王东启,陈振楼.北京冬季严重污染过程的PM2.5污染特征和输送路径及潜在源区 [J]. 中国环境科学, 2016,36(7):1931-1937. Wang G C, Wang D Q, Chen Q L, et al. Characteristics and transportation pathways and potential sources of a severe PM2.5 episodes during winter in Beijing [J]. China Environmental Science, 2016,36(7):1931-1937.
[35]	高琦,郭新成,孟妮娜,等.京津冀气溶胶时空变化特征及潜在来源分析 [J]. 科学技术与工程, 2021,21(30):13185-13195. Gao Q, Guo X C, Meng N N, et al. Analysis on characteristics and potential sources of aerosols in Beijing-Tianjin-Hebei region [J]. Science Technology and Engineering, 2021,21(30):13185-13195.