Characteristics and mechanisms of photochemical pollution in typical urban areas under different meteorological clusters
LIU Ying-ying1,2, CHEN Sai-sai1,2, LUAN He-run3, LIN Zhou-yue1,2, NYIXIA Tsring4, YUAN Yue-fu4, WEI Wei1,2
1. College ofEnvironment Sciences and Technology, Beijing University of Technology, Beijing 100124, China; 2. Key Laboratory of Beijing onRegional Air Pollution Control, Beijing University of Technology, Beijing 100124, China; 3. College of Computer Science, BeijingUniversity of Technology, Beijing 100124, China; 4. Ecological Environment Monitoring Center of Tibet Autonomous Region, Lhasa 850000, China
Abstract:This paper studied the characteristics and formation mechanisms of local photochemical pollution in Beijing during summer. Firstly, based on the meteorological observations, we obtained four typical meteorological clusters (M1~M4) based on the meteorological observations by using the K-means clustering algorithm and found the significant O3 pollution difference among M1~M4. Then, under 2021 emissions of this city, we further simulated the local photochemical evolution of Beijing urban plumes respectively for four meteorological clusters, via a 0-D box model with the MCM (v3.3.1). The simulation results showed the daytime-averaged net O3 production rate was 7.91×10-9(M1), 7.58×10-9(M2), 7.18×10-9(M3), 3.55×10-9(M4)·h-1, but O3 formation & loss pathways were very similar. O3 formation was in the VOCs-limited regime, but its sensitivity to VOCs apparently decreased from M1 to M4. However, the simulated HCHO and CH3 CHO had a little differences between various meteorological conditions, as well as their production rates and formation & loss pathways. The linear response of HCHO to VOCs indicated it could be as the good tracer for VOCs level. Finally, we calculated the O3 increment reactivity (IR) of 65 VOCs species for each meteorological cluster, and found the differences in IR between low-reactivity and high-reactivity VOCs became significantly smaller under the M1 compared to M4, implying the importance of strengthening the control of low-reactivity components VOCs in on O3 pollution days.
[1] Fan W L, Chen T, Zhu Z L, et al. A review of secondary organic aerosols formation focusing on organosulfates and organic nitrates [J]. Journal of Hazardous Materials, 2022,430:128406. [2] Wang J F, Ye J H, Zhang Q, et al. Aqueous production of secondary organic aerosol from fossil-fuel emissions in winter Beijing haze [J]. Proceedings of the National Academy of Sciences, 2021,118(8): e2022179118. [3] Bianchi F, Kurtén T, Riva M, et al. Highly oxygenated organic molecules (HOM) from gas-phase autoxidation involving Peroxy radicals: A key contributor to atmospheric aerosol [J]. Chemical Reviews, 2019,119(6):3472-3509. [4] 李睿,魏巍,王兴锋,等.基于Brute-Force方法的京津冀区域夏季臭氧反应机制[J]. 环境科学, 2023,44(10):5400-5409. Li R, Wei W, Wang X F, et al. Summer ozone mechanism and control strategy in Beiing-Tianjin-Hebei region using Brute-Force method [J]. Environmental Science, 2023,44(10):5400-5409. [5] 林文鹏,郭欣瞳.中国城市群臭氧时空分布特征分析[J]. 中国环境科学, 2022,42(6):2481-2494. Lin W P, Guo X T. Spatial and temporal distribution characteristics of ozone in Urban agglomerations in China [J]. China Environmental Science, 2022,42(6):2481-2494. [6] GB 3095-2012环境空气质量标准[S]. GB 3095-2012 Ambient air quality standards [S]. [7] Gong S L, Zhang L, Liu C, et al. Multi-scale analysis of the impacts of meteorology and emissions on PM2.5 and O3 trends at various regions in China from 2013 to 20202. Key weather elements and emissions [J]. Science of the Total Environment, 2022,824:153847. [8] Hu T T, Lin Y, Liu R, et al. What caused large ozone variabilities in three megacity clusters in eastern China during 2015~2020? [J]. Atmospheric Chemistry and Physics, 2024,24(3):1607-1626. [9] Ou S J, Wei W, Cheng S Y, et al. Exploring drivers of the aggravated surface O3 over North China Plain in summer of 2015~2019: Aerosols, precursors, and meteorology [J]. Journal of Environmental Sciences, 2023,127:453-464. [10] 邬双双,陈梓超,薛鑫,等.基于KZ滤波分析气象对珠三角臭氧趋势的影响[J]. 中国环境科学, 2024,44(4):1905-1911. Wu S S, Chen X C, Xue X, et al. Analysis of meteorological effects on the trend of ozone in the Pearl River Delta using the KZ filtering method [J]. China Environmental Science, 2024,44(4):1905-1911. [11] Lu Z D, Wang J, Wang Y, et al. Aggravated surface O3 pollution primarily driven by meteorological variations in China during the 2020COVID-19 pandemic lockdown period [J]. Atmospheric Chemistry and Physics, 2024,24(13):7793-7813. [12] Cho C M, Fuchs H, Hofzumahaus A, et al. Experimental chemical budgets of OH, HO2, and RO2 radicals in rural air in western Germany during the JULIAC campaign 2019[J]. Atmospheric Chemistry and Physics. 2023,23(3):2003-2033. [13] Tan Z F, Lu K D, Jiang M Q, et al. Daytime atmospheric oxidation capacity in four Chinese megacities during the photochemically polluted season: A case study based on box model simulation [J]. Atmospheric Chemistry and Physics, 2019,19(6):3493-3513. [14] Tan Z F, Lu K D, Hofzumahaus A, et al. Experimental budgets of OH, HO2, and RO2 radicals and implications for ozone formation in the Pearl River Delta in China 2014[J]. Atmospheric Chemistry and Physics, 2019,19(10):7129-7150. [15] 王婷,祝从文,马双梅.东亚夏季风和中国雨季的趋势变化和关键区气温和海温的影响[J]. 大气科学, 2024,48(3):1217-1232. Wang T, Zhu C W, Ma S M. Changes in the East Asian summer monsoon and rainy season in China and critical impacts of regional air and sea surface temperature anomalies [J]. Chinese Journal of Atmospheric Sciences, 2024,48(3):1217-1232. [16] 李奥哲.典型区域大气污染源清单更新完善及天然源VOCs对空气质量影响研究[D]. 北京:北京工业大学, 2023. Li A Z. Study on updating and improving the inventory of air pollution sources in typical regions and impact of natural source VOCs on air quality [D]. Beijing: Beijing University of Technology, 2023. [17] Li X, Zhang F, Ren J Y, et al. Rapid narrowing of the urban–suburban gap in air pollutant concentrations in Beijing from 2014 to 2019[J]. Environmental Pollution, 2022,304:119146. [18] He T, Tang Y, Cao R, et al. Distinct urban-rural gradients of air NO2 and SO2 concentrations in response to emission reductions during 2015~2022 in Beijing, China [J]. Environmental Pollution, 2023,333:122021. [19] HJ 1010-2018环境空气挥发性有机物气相色谱连续监测系统技术要求及检测方法[S]. HJ 1010-2018 Specifications and test procedures for ambient air quality continuous monitoring system with gas chromatography for volatile organic compounds [S]. [20] Khorshidi N, Parsa M, Lentz D R, et al. Identification of heavy metal pollution sources and its associated risk assessment in an industrial town using the K-means clustering technique [J]. Applied Geochemistry, 2021,135:105113. [21] Chen Z C, Liu R, Wu S S, et al. Diurnal variation characteristics and meteorological causes of autumn ozone in the Pearl River Delta, China [J]. Science of the Total Environment, 2024,908:168469. [22] 翁佳烽,梁晓媛,谭浩波,等.基于K-means聚类分析法的肇庆市干季PM2.5 污染天气分型研究[J]. 环境科学学报, 2020,40(2):373-387. Weng J F, Liang X Y, Tan H B, et al. Objective synoptic classification on PM2.5 pollution during dry season based on K-means in Zhaoqing [J]. Journal of Environmental Sciences, 2020,40(2):373-387. [23] Zhang X R, Tong S R, Jia C H, et al. The levels and sources of Nitrous Acid (HONO) in Winter of Beijing and Sanmenxia [J]. Journal of Geophysical Research: Atmospheres, 2022,127(10): e2021JD036278. [24] Wei W, Yao B B, Yang X M, et al. Severe photochemical pollution was found in large petrochemical complexes: A typical case study in North China [J]. Environmental Pollution, 2024,344:123343. [25] Lv Z, Wei W, Cheng S Y, et al. Mixing layer height estimated from AMDAR and its relationship with PMs and meteorological parameters in two cities in North China during 2014~2017[J]. Atmospheric Pollution Research, 2020,11(3):443-453. [26] 陈康.基于卫星遥感HCHO柱浓度的北京市VOCs特征反演[D]. 北京:北京工业大学, 2023. Chen K. Inversion of VOCs Characteristics in Beijing based on satellite remote sensing of HCHO column concentration [D]. Beijing: Beijing University of Technology, 2023. [27] Chen K, Wei W, Zhou C Y, et al. Spatiotemporal mapping of atmospheric aldehydes over Beijing in summer during 2019~2021 via their source apportionment study [J]. Atmospheric Research, 2023, 288:106723. [28] Weng X, Forster G L, Nowack P. A machine learning approach to quantify meteorological drivers of ozone pollution in China from 2015 to 2019[J]. Atmospheric Chemistry and Physics, 2022,22(12):8385-8402. [29] Zhang L, Wang L L, Ji D, et al. Explainable ensemble machine learning revealing the effect of meteorology and sources on ozone formation in megacity Hangzhou, China [J]. Science of the Total Environment, 2024,922:171295. [30] Liu B Y, Li Y Y, Wang L L, et al. Evaluating the effects of meteorology and emission changes on ozone in different regions over China based on machine learning [J]. Atmospheric Pollution Research, 2025,16(3):102354. [31] Whalley L K, Slater E J, Woodward-Massey R, et al. Evaluating the sensitivity of radical chemistry and ozone formation to ambient VOCs and NOx in Beijing [J]. Atmospheric Chemistry and Physics, 2021, 21(3):2125-2147. [32] Tan Z F, Ma X F, Lu K D, et al. Direct evidence of local photochemical production driven ozone episode in Beijing: A case study [J]. Science of The Total Environment, 2021,800:148868. [33] Yang X P, Lu K D, Ma X F, et al. Observations and modeling of OH and HO2 radicals in Chengdu, China in summer 2019[J]. Science of the Total Environment, 2021,772:144829. [34] Yang X, Xue L K, Wang T, et al. Observations and explicit modeling of summertime carbonyl formation in Beijing: Identification of key precursor species and their impact on atmospheric oxidation chemistry [J]. Journal of Geophysical Research: Atmospheres, 2018,123(2): 1426-1440. [35] Huang X F, Zhang B, Xia S Y, et al. Sources of oxygenated volatile organic compounds (OVOCs) in urban atmospheres in North and South China [J]. Environmental Pollution, 2020,261:114152. [36] Chai W X, Wang M, Li J Y, et al. Pollution characteristics, sources, and photochemical roles of ambient carbonyl compounds in summer of Beijing, China [J]. Environmental Pollution, 2023,336:122403. [37] 张鑫.大气醛酮类化合物来源定量分析及其对臭氧生成的贡献评估[D]. 济南:山东大学, 2022. Zhang X. Sources apportionment of atmospheric carbonyls and evaluation of their contribution to ground-level ozone [D]. Jinan: Shandong University, 2022. [38] Liu Y F, Song M D, Liu X G, et al. Characterization and sources of volatile organic compounds (VOCs) and their related changes during ozone pollution days in 2016 in Beijing, China [J]. Environmental Pollution, 2020,257:113599. [39] Qian X, Shen H Q, Chen Z M. Characterizing summer and winter carbonyl compounds in Beijing atmosphere [J]. Atmospheric Environment, 2019,214:116845. [40] Wu T, Hu R Z, Xie P H, et al. A mid-infrared quantum cascade laser ultra-sensitive trace formaldehyde detection system based on improved dual-incidence multipass gas cell [J]. Sensors, 2023,23(12):5643. [41] Hong Q Q, Liu C, Hu Q H, et al. Evaluating the feasibility of formaldehyde derived from hyperspectral remote sensing as a proxy for volatile organic compounds [J]. Atmospheric Research, 2021,264:105777. [42] Wang Y P, Wang Z F, Yu C, et al. Validation of OMI HCHO products using MAX-DOAS observations from 2010 to 2016 in Xianghe, Beijing: Investigation of the effects of aerosols on satellite Products [J]. Remote Sensing, 2019,11(2):203. [43] Carter W P L. Development of the SAPRC-07chemical mechanism [J]. Atmospheric Environment. 2010,44(40):5324-5335.