Fine particulate matter transport driven by circulation types in autumn and winter over Beijing area
LIN Ting-kun1,2, QU Kun1, YAN Yu1, WANG Xue-song1, ZHAO Ning2
1. State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; 2. China Southern Power Grid Technology Co., Ltd., Guangzhou, Guangdong 510080, China
Abstract：Models-3/CMAQ was applied to simulate fine particulate matter (PM2.5) during autumn and winter (Nov.-Feb., 2013~2018) in Beijing, and was used to calculate PM2.5 transport flux on four cross sections around Beijing, which can combine with flow field and concentration to investigate PM2.5 transport characteristics in 11 atmospheric circulation types in Beijing. In heavy polluted southwest (SW) and west (W) circulation types, PM2.5 strong transport suffered Beijing, the input flux from the southern plain had very strong input accumulation effect below 0.6km, which increased the pollution level of PM2.5 in Beijing. In heavy polluted south (S) circulation type, the input flux of the eastern plain below 0.6km and the input flux of the southern plain above 0.6km had strong input accumulation effect, so PM2.5 transport from eastern and southern areas of Beijing-Tianjin-Hebei region in different altitude ranges affect PM2.5 level in Beijing. In uniform pressure fields (UM) and cyclone (C) circulation types, transport in all directions had no obvious input accumulation effect, so the reduction of local emissions was particularly important for pollution control. In moderately polluted east (E) and southeast (SE) circulation types, Beijing had a large output flux below 0.2km to the northern cities such as Baoding through the southern plain section, which had strong output dissipation effect on Beijing pollution. In clean northern (N), northeast (NE) and northwest (NW) circulation types, Beijing had a very large output flux below 1km to the eastern cities such as Langfang and Tianjin through the eastern plain section, which had very strong output dissipation effect on Beijing pollution. In clean polluted anticyclone (A) circulation type, Beijing had no obvious PM2.5 input and output phenomena.
林廷坤, 屈坤, 严宇, 王雪松, 赵宁. 北京市秋冬季环流型下的细颗粒物传输[J]. 中国环境科学, 2021, 41(2): 548-557.
LIN Ting-kun, QU Kun, YAN Yu, WANG Xue-song, ZHAO Ning. Fine particulate matter transport driven by circulation types in autumn and winter over Beijing area. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(2): 548-557.
林廷坤,洪礼楠,黄争超,等.北京市秋冬季大气环流型下的气象和污染特征[J]. 中国环境科学, 2019,39(5):1813-1822. Lin T K, Hong L N, Huang Z C, et al. Meteorological and pollution characteristics under atmospheric circulation types in autumn and winter in Beijing[J]. China Environmental Science, 2019,39(5):1813-1822.
[2]
Ye X X, Song Y, Cai X H, et al. Study on the synoptic flow patterns and boundary layer process of the severe haze events over the North China Plain in January 2013[J]. Atmospheric Environment, 2016,124:129-145.
[3]
Russo A, Trigo R M, Martins H, et al. NO2, PM10 and O3 urban concentrations and its association with circulation weather types in Portugal[J]. Atmospheric Environment, 2014,89:768-785.
[4]
Liao Z, Gao M, Sun J, et al. The impact of synoptic circulation on air quality and pollution-related human health in the Yangtze River Delta region[J]. Science of The Total Environment, 2017,607-608:838-846.
[5]
Miao Y, Guo J P, Liu S H, et al. Classification of summertime synoptic patterns in Beijing and their associations with boundary layer structure affecting aerosol pollution[J]. Atmospheric Chemistry and Physics, 2017,17(4):3097-3110.
[6]
Zhang J P, Zhu T, Zhang Q, et al. The impact of circulation patterns on regional transport pathways and air quality over Beijing and its surroundings[J]. Atmospheric Chemistry and Physics, 2012,12(11):5031-5053.
[7]
Miao Y, Guo J P, Liu S H, et al. Relay transport of aerosols to Beijing-Tianjin-Hebei region by multi-scale atmospheric circulations[J]. Atmospheric Environment, 2017,165:35-45.
[8]
Wang C, An X Q, Zhai S X, et al. Tracking sensitive source areas of different weather pollution types using GRAPES-CUACE adjoint model[J]. Atmospheric Environment, 2018,175:154-166.
[9]
黄争超,洪礼楠,尹佩玲,等.保定市夏季臭氧污染来源及大气传输影响研究[J]. 北京大学学报(自然科学版), 2018,54(3):665-672. Huang Z C, Hong L N, Yin P L, et al. Source apportionment and transport characteristics of ozone in Baoding during summer time[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2018,54(3):665-672.
[10]
洪礼楠,黄争超,秦墨梅,等.天津市夏季臭氧污染特征及来源的模拟分析[J]. 北京大学学报(自然科学版), 2017,53(5):929-938. Hong L N, Huang Z C, Qin M M, et al. Simulation of pollution characteristics and source apportionment of ozone in Tianjin during summer time[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2017,53(5):929-938.
[11]
Kwok R H F, Baker K R, Napelenok S L, et al. Photochemical grid model implementation and application of VOC, NOx, and O3 source apportionment[J]. Geoscientific Model Development, 2015,8(1):99-114.
[12]
Zhao B, Wang S X, Fu K, et al. Assessing the nonlinear response of fine particles to precursor emissions:development and application of an Extended Response Surface Modeling technique (ERSM v1.0)[J]. Geoscientific Model Development Discussions, 2014,7(4):5049-5085.
[13]
王威,王自发,吴其重,等.奥运会开幕前后北京PM10输送通量变化及情景分析[J]. 气候与环境研究, 2010,15(5):652-661. Wang W, Wang Z F, Wu Q Z, et al. Variation of PM10 flux and scenario analysis before and after the Olympic opening ceremony of Beijing[J]. Climate and Environmental Research, 2010,15(5):652-661.
[14]
Jiang C, Wang H, Zhao T. et al. Modeling study of PM2.5 pollutant transport across cities in China's Jing-Jin-Ji region during a severe haze episode in December 2013[J]. Atmospheric Chemistry & Physics, 2015,15(3):3745-3776.
[15]
Zhang H, Cheng S, Wang X, et al. Continuous monitoring, compositions analysis and the implication of regional transport for submicron and fine aerosols in Beijing, China[J]. Atmospheric Environment, 2018,195:30-45.
[16]
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 and Physics, 2018,18(7):4843-4858.
[17]
安俊岭,李健,张伟,等.京津冀污染物跨界输送通量模拟[J]. 环境科学学报, 2012,32(11):2684-2692. An J L, Li J, Zhang W, et al. Simulation of transboundary transport fluxes of air pollutants among Beijing, Tianjin, and Hebei Province of China[J]. Acta Scientiae Circumstantiae. 2012,32(11):2684-2692.
[18]
Lamb H H. Types and spells of weather around the year in the British Isles[J]. Quarterly Journal Royal Meteorological Society, 1950,76:393-438.
[19]
Jenkinson A F, Collison F P. An initial climatology of gales over the North Sea[C]. Synoptic Climatology Branch Memorandum, No. 62. Bracknell:Meteorological Office, 1977:1-18.
[20]
Skamarock W C, Klemp J B, Dudhia J, et al. A description of the advanced research WRF version 3[M]. NCAR Technical Note. Boulder, CO:National Center for Atmospheric Research, 2008:1-5.
[21]
Houyoux M R, Vukovich J M, Coats C J, et al. Emission inventory development and processing for the Seasonal Model for Regional Air Quality (SMRAQ) project[J]. Journal of Geophysical Research, 2000, 105(D7):9079.
[22]
Byun D, Schere K L. Review of the governing equations, computational algorithms, and other components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System[J]. Applied Mechanics Reviews, 2006,59(2):51.
[23]
Zhang Q, Streets D G, Carmichael G R, et al. Asian emissions in 2006 for the NASA INTEX-B mission[J]. Atmospheric Chemistry and Physics, 2009,9(14):5131-5153.
[24]
Pierce T, Geron C, Pouliot G, et al.Integration of the biogenic emissions inventory system (BEIS3) into the community multiscale air quality (CMAQ) modelling system[C]//Proceedings of the 25th Agricultural and Forest Meteorology Conference. Norfolk:American Meteorological Society, 2002,J85-J86.
[25]
王德羿,王体健,韩军彩,等."2+26"城市大气重污染下PM2.5来源解析[J]. 中国环境科学, 2020,40(1):92-99. Wang D Y, Wang T J, Han C J, et al. Source apportionment of PM2.5 under heavy air pollution conditions in "2+26" cities[J]. China Environmental Science, 2020,40(1):92-99.
[26]
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. Lv 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.
[27]
Li N, Lu Y, Liao H, et al. WRF-Chem modeling of particulate matter in the Yangtze River Delta region:Source apportionment and its sensitivity to emission changes[J]. PLoS One, 2018, 13:e0208944.
