京津冀地区典型城市秋冬季PM<sub>2.5</sub>输送特征研究

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Abstract The Potential Source Contribution Function (PSCF) method was applied to identify the potential pollution source areas of PM_2.5 in three typical cities including Beijing, Tangshan and Shijiazhuang in autumn and winter of 2018. A meteorology-air quality coupling model system (WRF-CAMx) and the method of transport flux calculation were applied to investigate the transmission contribution of PM_2.5 from the surrounding provinces, the transport pathway of PM_2.5 in three typical cities and the vertical distribution characteristics of the net transmission flux of PM_2.5. The results indicate that high values of PSCF in autumn and winter were mainly concentrated in the south of Hebei, the northeast of Henan and the central and eastern parts of Shanxi. Local emission sources were the predominant contributor (51.78%~68.40%) to PM_2.5 in winter and autumn, followed by the external regions (31.60%~48.22%), and varied between two seasons. The contribution fluctuated in different seasons. The adjacent cities mainly export PM_2.5 to Beijing and Shijiazhuang, and Tangshan mainly export PM_2.5 to the adjacent cities, with the largest PM_2.5 net fluxes mainly occurred at 0~50m, and the net fluxes value is -99.47t/d during the whole study period. Moreover, one important transport pathways were identified:the southwest-northeast pathway.

Key words： Potential Source Contribution Function (PSCF) method meteorology-air quality coupling model system (WRF-CAMx) PM_2.5 transport flux transport channel

Received: 22 July 2020

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X513

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	ZHANG Zhi-da
	WANG Xiao-qi
	ZHANG Han-yu
	GUAN Pan-bo
	WANG Chuan-da
	TANG Gui-qian

Cite this article:

ZHANG Zhi-da,WANG Xiao-qi,ZHANG Han-yu等. PM_2.5 transport characteristics of typical cities in Beijing-Tianjin-Hebei Region in autumn and winter[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(3): 993-1004.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I3/993

[1]	孟伟,高庆先,张志刚,等.北京及周边地区大气污染数值模拟研究[J]. 环境科学研究, 2006,19(5):11-18. Meng W, Gao Q X, Zhang Z G, et al. 2006. The numerical study of atmospheric pollution in Beijing and its surrounding regions[J]. Research of Environmental Sciences, 2006,19(5):11-18.
[2]	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.
[3]	王自发,李丽娜,吴其重,等.区域输送对北京夏季臭氧浓度影响的数值模拟研究[J]. 自然杂志, 2008,30(4):194-198. Wang Z F, Li L N, Wu Q Z, et al. Simulation of the impacts of regional transport on summer ozone levels over Beijing[J]. Chinese Journal of Nature, 2008,30(4):194-198.
[4]	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 Circumstantiae, 2017,37(8):3032-3043.
[5]	Burr M J, Zhang Y. Source apportionment of fine particulate matter over the Eastern U.S. Part Ⅱ:Source apportionment simulations using CAMx/PSAT and comparisons with CMAQ source sensitivity simulations[J]. Atmospheric Pollution Research, 2011,2(3):318-336.
[6]	苏福庆,高庆先,张志刚,等.北京边界层外来污染物输送通道[J]. 环境科学研究, 2004,17(1):26-29,40. Su F Q, Gao Q X, Zhang Z G. Transport pathways of pollutants from outside in atmosphere boundary layer[J]. research of environmental sciences, 2004.
[7]	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.
[8]	程念亮,张大伟,陈添,等.2015年北京市两次红色预警期间PM2.5浓度特征[J]. 环境科学, 2016,37(7):2409-2418. Cheng N L, Zhang D W, Chen T, et al. Concentration characteristics of PM2.5 in Beijing during two red alert periods[J]. Environmental Science, 2016,37(7):2409-2418.
[9]	王郭臣,王珏,信玉洁,等.天津PM10和NO2输送路径及潜在源区研究[J]. 中国环境科学, 2014,34(12):3009-3016. Wang G C, Wang Y, Xin Y J, et al. Transportation pathways and potential source areas of PM10 and NO2 in Tianjin[J]. China Environmental Science, 2014,34(12):3009-3016.
[10]	王燕丽,薛文博,雷宇,等.京津冀地区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 Jingjinji region, 2016[J]. Environmental Science, 2017, 38(12):4897-4904.
[11]	徐冉,张恒德,杨孝文,等.北京地区秋冬季大气污染特征及成因分析[J]. 环境科学, 2019,40(8):3405-3414. Xu R, Zhang H D, Yang X W, et al. Concentration characteristics of PM2.5 and the causes of heavy air pollution events in Beijing during autumn and winter[J]. Environmental Science, 2019,40(8):3405-3414.
[12]	李珊珊,程念亮,潘涛,等.2014年10月京津冀一次空气重污染过程分析[J]. 环境科学与技术, 2016,39(3):162-169. Li Shanshan, Cheng Nianliang, Pan Tao, et al. Analysis of a heavy ai r pollution event in Beijing-Tianj in-Hebei Region in october 2014[J]. Envi ronm ent al Sci ence & Technology, 2016,39(3):162-169.
[13]	李璇,聂滕,齐珺,等.2013年1月北京市PM2.5区域来源解析[J]. 环境科学, 2015,36(4):1148-1153. Li X, Nie T, Qi J, et al. Regional source apportionment of PM2.5 in Beijing in January 2013[J]. Environmental Science, 2015,36(4):1148-1153.
[14]	张晗宇,郎建垒,温维,等.唐山PM2.5污染特征及区域传输的贡献[J]. 北京工业大学学报, 2017,43(8):1252-1262. Zhang H Y, Lang J L, Wen W, et al. Pollution characteristics and regional transmission of PM2.5 in Tangshan[J]. Journal of Beijing University of Technology, 2017,43(8):1252-1262.
[15]	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(MAY 10):1110-1121.
[16]	Li S, Lang J, Zhou Y, et al. Trends in ammonia emissions from light-duty gasoline vehicles in China, 1999~2017[J]. The ence of the Total Environment, 2020,700(Jan.15):134359.1-134359.9.
[17]	花丛,刘超,张恒德,等.京津冀地区冬半年污染传输特征及传输指数的改进[J]. 气象, 2017,43(7):813-822. Hua C, Liu C, Zhang H D, et al. Characteristics of air pollutant transport over Beijing-Tianjin-Hebei region during winter months and improvement of transport weather index[J]. Meteorological Monthly, 2017,43(7):813-822.
[18]	马露,邹艳琴,李俊,等.气溶胶散射系数与空气颗粒物PM10和PM2.5浓度间关联性研究[J]. 环境与健康杂志, 2011,28(11):964-967.
[19]	吕炜,李金凤,王雪松,等.长距离污染传输对珠江三角洲区域空气质量影响的数值模拟研究[J]. 环境科学学报, 2015,35(1):30-41. Lü W, Li J F, Wang X S, et al. Numerical modeling on the impact of long-range transport of air pollutants on the regional air quality in the Pearl River Delta[J]. Acta Scientiae Circumstantiae, 2015,35(1):30-41.
[20]	Chen D S, Zhao N, Lang J L, et al. Contribution of ship emissions to the concentration of PM2.5:a comprehensive study using AIS data and WRF/Chem model in Bohai Rim Region, China[J]. Science of the Total Environment, 2018,610-611:1476-1486.
[21]	Gao J, Wang K, Wang Y, et al. Temporal-spatial characteristics and source apportionment of PM2.5 as well as its associated chemical species in Beijing-Tianjin-Hebei region of China[J]. Environmental Pollution, 2018,233:714-724.
[22]	Environ International Corporation. User's guide comprehensive air quality model with extension version 6. 0[EB/OL].[2014-05-30]. http://www.camx.com/files/camxusersguide-v6-00.pdf.
[23]	Zhang Yang, Olsen K M, Wang Kai. Fine scale modeling of agricultural air quality over the southeastern United States using two air quality models:Part I. Application and evaluation[J]. Aerosol and Air Quality Research, 2013,13:1231-1252.
[24]	Wu Dongwei, Fung J C-H, Yao Teng, et al. A study of control policy in the Pearl River Delta region by using the particulate matter source apportionment method[J]. Atmospheric Environment, 2013,76:147-161.
[25]	Li D P, Liu J G, Zhang J S, et al. Identification of long-range transport pathways and potential sources of PM2.5 and PM10 in Beijing from 2014 to 2015[J]. Journal of Environmental Sciences, 2017,56:214-229.
[26]	李颜君,安兴琴,范广洲.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.
[27]	Lang J L, Cheng S Y, Wen W, et al. Development and application of a new PM2.5 source apportionment approach[J]. Aerosol and Air Quality Research, 2017,17(1):340-350.
[28]	Hanyu Zhang, Shuiyuan Cheng, Sen Yao, 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.
[29]	Shi C E, Yao Y Q, Zhang P. Transport trajectory classifying of PM10 in Hefei[J]. Plateau Meteorology, 2008.
[30]	Chang X, Wang S, Zhao B, et al. Assessment of inter-city transport of particulate matter in the Beijing-Tianjin-Hebei region[J]. Atmospheric Chemistry & Physics, 2017:1-28.
[31]	贺克斌,杨复沫,段风魁,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 compound pollution[M]. Beijing:Science, Pree, 2011.
[32]	Ying Z, Cheng S, Lang J, et al. A comprehensive ammonia emission inventory with high-resolution and its evaluation in the Beijing-Tianjin-Hebei (BTH) region, China. Atmos. Environ. 2015,106:305-317.
[33]	Gao M, Carmichael G R, Wang Y, et al. Modeling study of the 2010 regional haze event in the North China Plain., 2016,16(3):1673-1691.
[34]	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 ence, 2019.
[35]	赵晨曦,王云琦,王玉杰,等.北京地区冬春PM2.5和PM10污染水平时空分布及其与气象条件的关系[J]. 环境科学, 2014,35(2):418-427. Zhao C X, Wang Y Q, Wang Y J, et al. Temporal and spatial distribution of PM2.5 and PM10 pollution status and the correlation of particulate matters and meteorological factors during winter and spring in Beijing[J]. Environmental Science, 2014,35(2):418-427.
[36]	Zhang R H, Li Q, Zhang R. Meteorological conditions for the persistent severe fog and haze event over eastern China in January 2013[J]. Science China Earth Sciences, 2014,57(1):26-35.
[37]	Zhou Ying, Xing Xiaofan, Lang Jianlei, et al. A comprehensive biomass burning emission inventory with high spatial and temporal resolution in China. 2017,17(4):2839-2864.
[38]	Hu W W, Hu M, Hu W, et al. Chemical composition,sources,and aging process of submicron aerosols in Beijing:Contrast between summer and winter[J]. Journal of Geophysical Research:Atmospheres, 2016, 121(4):1955-1977.
[39]	Hanyu Zhang, Shuiyuan Cheng, Sen Yao, 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.
[40]	Chang X, Wang S X, Zhao B, et al. 2018. Assessment of inter-city transport of particulate matter in the Beijing-Tianjin-Hebei region. Atmos. Chem. Phys. 18,4843-4858.
[41]	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 and Physics, 2016,16(3):1673-1691.