Abstract
China has made great efforts to reduce ambient atmospheric pollutant concentrations in the past few decades. The air quality in northern China has improved greatly. However, most research has focused on atmospheric pollution in non-roadside environments that have little influence from traffic flow and are impacted by less vehicle exhaust. In this study, hourly air quality monitoring data were collected at four traffic stations and four nontraffic stations in Beijing from June 2014 to September 2017 to analyze the spatial-temporal variations of atmospheric pollutants related to traffic. The traffic stations had higher concentrations of PM2.5, PM10, SO2, NO2, and CO but lower concentrations of O3. Although the overall air quality in Beijing is improving, the pollution rates of PM2.5, PM10, and NO2 in the traffic stations were still high at 47.91%, 50.71%, and 61.22% concentrations, respectively. The air pollution levels in traffic environments are systematically higher than those in nontraffic environments, during both daytime and nighttime, except O3. Furthermore, the traffic stations near ring roads with large numbers of diesel trucks were even more polluted, suggesting the influence of traffic emissions. Under adverse meteorological dispersion conditions, both the traffic and nontraffic stations had high pollution levels, but the pollution at the traffic stations was much higher. To reduce the air pollution level, a series of vehicle restriction rules have been imposed, including license plate restriction. Our analysis revealed obvious cycles associated with license plate restriction rules, suggesting the possibility for further improvement in vehicle restriction rules. The results from our study suggest that roadside environments with heavy traffic in Beijing, China, are still highly polluted and need further efforts to improve.
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References
Ai ZT, Mak CM, Lee HC (2016) Roadside air quality and implications for control measures: a case study of Hong Kong. Atmos Environ 137:6–16. https://doi.org/10.1016/j.atmosenv.2016.04.033
Chen W, Tang H, Zhao H (2015a) Diurnal, weekly and monthly spatial variations of air pollutants and air quality of Beijing. Atmos Environ 119:21–34. https://doi.org/10.1016/j.atmosenv.2015.08.040
Chen W, Yan L, Zhao H (2015b) Seasonal variations of atmospheric pollution and air quality in Beijing. Atmosphere-Basel 6:1753–1770
Cheng Y, Lee SC, Gao Y, Cui L, Deng W, Cao J, Shen Z, Sun J (2015) Real-time measurements of PM2.5, PM10-2.5, and BC in an urban street canyon. Particuology 20:134–140. https://doi.org/10.1016/j.partic.2014.08.006
Dos Santos-Juusela V, Petaja T, Kousa A, Hameri K (2013) Spatial-temporal variations of particle number concentrations between a busy street and the urban background. Atmos Environ 79:324–333. https://doi.org/10.1016/j.atmosenv.2013.05.077
Du Y, Li T (2016) Assessment of health-based economic costs linked to fine particulate (PM2.5) pollution: a case study of haze during January 2013 in Beijing, China. Air Qual Atmos Hlth 9:439–445. https://doi.org/10.1007/s11869-015-0387-7
Elminir HK (2005) Dependence of urban air pollutants on meteorology. Sci Total Environ 350:225–237. https://doi.org/10.1016/j.scitodenv.2005.01.043
Ferreri JM, Peng RD, Bell ML, Ya L, Li T, Anderson GB (2018) The January 2013 Beijing “Airpocalypse” and its acute effects on emergency and outpatient visits at a Beijing hospital. Air Qual Atmos Hlth 11:301–309. https://doi.org/10.1007/s11869-017-0538-0
Gietl JK, Lawrence R, Thorpe AJ, Harrison RM (2010) Identification of brake wear particles and derivation of a quantitative tracer for brake dust at a major road. Atmos Environ 44:141–146. https://doi.org/10.1016/j.atmosenv.2009.10.016
Huang K, Zhang X, Lin Y (2015) The “APEC Blue” phenomenon: regional emission control effects observed from space. Atmos Res 164–165:65–75. https://doi.org/10.1016/j.atmosres.2015.04.018
Kragie SX, Ryan PB, Bergin MH, Wang S (2013) Airborne trace metals from coal combustion in Beijing. Air Qual Atmos Hlth 6:157–165. https://doi.org/10.1007/s11869-011-0157-0
Kumar P, Fennell P, Britter R (2008) Effect of wind direction and speed on the dispersion of nucleation and accumulation mode particles in an urban street canyon. Sci Total Environ 402:82–94. https://doi.org/10.1016/j.scitotenv.2008.04.032
Kwak K-H, Baik J-J, Ryu Y-H, Lee S-H (2015) Urban air quality simulation in a high-rise building area using a CFD model coupled with mesoscale meteorological and chemistry-transport models. Atmos Environ 100:167–177. https://doi.org/10.1016/j.atmosenv.2014.10.059
Kwak K-H, Woo S, Kim K, Lee SB, Bae GN, Ma YI, Sunwoo Y, Baik JJ (2018) On-road air quality associated with traffic composition and street-canyon ventilation: mobile monitoring and CFD modeling. Atmosphere 9. https://doi.org/10.3390/atmos9030092
Kwak KH, Lee SH, Seo JM, Park SB, Baik JJ (2016) Relationship between rooftop and on-road concentrations of traffic-related pollutants in a busy street canyon: ambient wind effects. Environ Pollut 208:185–197. https://doi.org/10.1016/j.envpol.2015.07.030
Langrish JP, Mills NL (2014) Air pollution and mortality in Europe. Lancet 383:758–760. https://doi.org/10.1016/S0140-6736(13)62570-2
Lee SC, Cheng Y, Ho KF, Cao JJ, Louie PKK, Chow JC, Watson JG (2006) PM1.0 and PM2.5 characteristics in the roadside environment of Hong Kong. Aerosol Sci Technol 40:157–165. https://doi.org/10.1080/02786820500494544
Li J, Sun JL, Zhou MY, Cheng ZG, Li QC, Cao XY, Zhang JJ (2018) Observational analyses of dramatic developments of a severe air pollution event in the Beijing area. Atmos Chem Phys 18:3919–3935. https://doi.org/10.5194/acp-18-3919-2018
Li LJ, Wang Y, Zhang Q, Li JX, Yang XG, Jin J (2008) Wheat straw burning and its associated impacts on Beijing air quality. Sci China Ser D 51:403–414
Li Q, Li X, Jiang J, Duan L, Ge S, Zhang Q, Deng J, Wang S, Hao J (2016) Semi-coke briquettes: towards reducing emissions of primary PM2.5, particulate carbon, and carbon monoxide from household coal combustion in China. Sci Rep 6:10. https://doi.org/10.1038/srep19306
Li R, Li Z, Gao W, Ding W, Xu Q, Song X (2015) Diurnal, seasonal, and spatial variation of PM2.5 in Beijing. Sci Bull 60:387–395. https://doi.org/10.1007/s11434-014-0607-9
Liu YJ, Zhang TT, Liu QY, Zhang RJ, Sun ZQ, Zhang MG (2014a) Seasonal variation of physical and chemical properties in TSP, PM10 and PM2.5 at a roadside site in Beijing and their influence on atmospheric visibility. Aerosol Air Qual Res 14:954–969. https://doi.org/10.4209/aaqr.2013.01.0023
Liu ZR, Hu B, Liu Q, Sun Y, Wang YS (2014b) Source apportionment of urban fine particle number concentration during summertime in Beijing. Atmos Environ 96:359–369. https://doi.org/10.1016/j.atmosenv.2014.06.055
Liu ZR, Hu B, Zhang JK, Yu YC, Wang YS (2016) Characteristics of aerosol size distributions and chemical compositions during wintertime pollution episodes in Beijing. Atmos Res 168:1–12. https://doi.org/10.1016/j.atmosres.2015.08.013
Luan T, Guo XL, Guo LJ, Zhang TH (2018) Quantifying the relationship between PM2.5 concentration, visibility and planetary boundary layer height for long-lasting haze and fog-haze mixed events in Beijing. Atmos Chem Phys 18:203–225. https://doi.org/10.5194/acp-18-203-2018
Meng K, Xu X, Cheng X, Xu X, Qu X, Zhu W, Ma C, Yang Y, Zhao Y (2018) Spatio-temporal variations in SO2 and NO2 emissions caused by heating over the Beijing-Tianjin-Hebei Region constrained by an adaptive nudging method with OMI data. Sci Total Environ 642:543–552. https://doi.org/10.1016/j.scitotenv.2018.06.021
Morales Betancourt R, Galvis B, Balachandran S, Ramos-Bonilla JP, Sarmiento OL, Gallo-Murcia SM, Contreras Y (2017) Exposure to fine particulate, black carbon, and particle number concentration in transportation microenvironments. Atmos Environ 157:135–145. https://doi.org/10.1016/j.atmosenv.2017.03.006
Sheng L, Lu K, Ma X, J-k H, Z-x S, S-x H, J-p Z (2015) The air quality of Beijing–Tianjin–Hebei regions around the Asia-Pacific Economic Cooperation (APEC) meetings. Atmos Pollut Res 6:1066–1072. https://doi.org/10.1016/j.apr.2015.06.003
Shi MN, Wu HC, Zhang SH, Li HY, Yang TS, Liu W, Liu H (2014) Weekly cycle of magnetic characteristics of the daily PM2.5 and PM2.5-10 in Beijing, China. Atmos Environ 98:357–367. https://doi.org/10.1016/j.atmosenv.2014.08.079
Sun YL, Zhuang GS, Tang AH, Wang Y, An ZS (2006) Chemical characteristics of PM2.5 and PM10 in haze-fog episodes in Beijing. Environ Sci Technol 40:3148–3155
Thaker P, Gokhale S (2016) The impact of traffic-flow patterns on air quality in urban street canyons. Environ Pollut 208:161–169. https://doi.org/10.1016/j.envpol.2015.09.004
Wang W-x, Chai F-h, Zhang K, S-l W, Y-z C, X-z W, Y-q Y (2008) Study on ambient air quality in Beijing for the summer 2008 Olympic Games. Air Qual Atmos Hlth 1:31–36. https://doi.org/10.1007/s11869-008-0003-1
Wen W, Cheng SY, Chen XF, Wang G, Li S, Wang XQ, Liu XY (2016) Impact of emission control on PM2.5 and the chemical composition change in Beijing-Tianjin-Hebei during the APEC summit 2014. Environ Sci Pollut R 23:4509–4521. https://doi.org/10.1007/s11356-015-5379-5
Xiao Q, Ma Z, Li S, Liu Y (2015) The impact of winter heating on air pollution in China. PLoS One 10:e0117311. https://doi.org/10.1371/journal.pone.0117311
Yin Q, Wang JF, Hu MG, Wong HT (2016) Estimation of daily PM2.5 concentration and its relationship with meteorological conditions in Beijing. J Environ Sci 48:161–168. https://doi.org/10.1016/j.jes.2016.03.024
Ying GX, Ma J, Xing Y (2007) Comparison of air quality management strategies of PM10, SO2, and NOx, by an industrial source complex model in Beijing. Environ Prog 26:33–42
Yuan X, Mu R, Zuo J, Wang Q (2015) Economic development, energy consumption, and air pollution: a critical assessment in China. Hum Ecol Risk Assess 21:781–798. https://doi.org/10.1080/10807039.2014.932204
Yubero E, Galindo N, Nicolas JF, Crespo J, Calzolai G, Lucarelli F (2015) Temporal variations of PM1 major components in an urban street canyon. Environ Sci Pollut R 22:13328–13335. https://doi.org/10.1007/s11356-015-4599-z
Zhang HL, Wang YG, Hu JL, Ying Q, Hu XM (2015) Relationships between meteorological parameters and criteria air pollutants in three megacities in China. Environ Res 140:242–254. https://doi.org/10.1016/j.envres.2015.04.004
Zhang R et al (2013) Chemical characterization and source apportionment of PM2.5 in Beijing: seasonal perspective. Atmos Chem Phys 13:7053–7074. https://doi.org/10.5194/acp-13-7053-2013
Zhang XL, Shi MJ, Li YJ, Pang R, Xiang N (2018) Correlating PM2.5 concentrations with air pollutant emissions: a longitudinal study of the Beijing-Tianjin-Hebei region. J Clean Prod 179:103–113. https://doi.org/10.1016/j.jclepro.2018.01.072
Zhang ZH, Khlystov A, Norford LK, Tan ZK, Balasubramanian R (2017) Characterization of traffic-related ambient fine particulate matter (PM2.5) in an Asian city: environmental and health implications. Atmos Environ 161:132–143. https://doi.org/10.1016/j.atmosenv.2017.04.040
Zhong J, Cai X-M, Bloss WJ (2016) Coupling dynamics and chemistry in the air pollution modelling of street canyons: a review. Environ Pollut 214:690–704. https://doi.org/10.1016/j.envpol.2016.04.052
Zhou MG, Liu YN, Wang LJ, Kuang XY, Xu XH, Kan HD (2014) Particulate air pollution and mortality in a cohort of Chinese men. Environ Pollut 186:1–6. https://doi.org/10.1016/j.envpol.2013.11.010
Zhou Y, Cheng S, Chen D, Lang J, Wang G, Xu T, Wang X, Yao S (2015) Temporal and spatial characteristics of ambient air quality in Beijing, China. Aerosol Air Qual Res 15:1868–1880. https://doi.org/10.4209/aaqr.2014.11.0306
Funding
This work was supported by the National Key Research and Development Program of China (2017YFC0210102), the National Natural Science Foundation of China (Grant No. 41701391), and the Fundamental Research Funds for the Central Universities (Grant No. 2014QD02).
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Chen, W., Li, A. & Zhang, F. Roadside atmospheric pollution: still a serious environmental problem in Beijing, China. Air Qual Atmos Health 11, 1203–1216 (2018). https://doi.org/10.1007/s11869-018-0620-2
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DOI: https://doi.org/10.1007/s11869-018-0620-2