Data-driven analysis of transport and weather impact on urban air quality
DOI:
https://doi.org/10.14513/actatechjaur.00698Keywords:
air quality, urban, traffic, weather, sustainabilityAbstract
Many cities face low air quality. To better predict the exceedance of air quality limits, the traffic’s contribution to air pollution was analysed in this paper. Several studies used a twin site approach to determine the impact of urban traffic; however, it requires the deployment of stations at various locations. A time variant analysis to determine traffic’s contribution and regression analysis were applied to determine the weather’s impact. The results were validated using actual traffic data. It was found that the traffic’s contributions to CO and NO2 were 22 and 30%. It was noted that the seasonal fluctuation of NO2 is significantly influenced by precipitation. Long-term trends of pollutants require further research.
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References
EEA, Air quality in Europe – 2020 report (2020) https://doi.org/10.2800/786656
F. Amato, F.R. Cassee et al., Urban air quality: The challenge of traffic non-exhaust emissions, Journal of Hazardous Materials 275 (2014) pp. 31-36. https://doi.org/10.1016/j.jhazmat.2014.04.053
M. Guarnieri, J.R. Balmes, Outdoor air pollution and asthma, The Lancet 383 (2014) pp. 1581-1592. https://doi.org/10.1016/S0140-6736(14)60617-6
W. Chen, A. Li, F. Zhang, Roadside atmospheric pollution: still a serious environmental problem in Beijing, China, Air Quality, Atmosphere & Health 11 (2018) pp. 1203-1216. https://doi.org/10.1007/s11869-018-0620-2
S. Paraschiv, L.S. Paraschiv, Analysis of traffic and industrial source contributions to ambient air pollution with nitrogen dioxide in two urban areas in Romania, Energy Procedia 157 (2019) pp. 1553-1560. https://doi.org/10.1016/j.egypro.2018.11.321
C. A. Belis, F. Karagulian et al., Critical review and meta-analysis of ambient particulate matter source apportionment using receptor models in Europe, Atmospheric Environment 69 (2013) pp. 94-108. https://doi.org/10.1016/j.atmosenv.2012.11.009
ICCT Briefing, On the Way to “Real-World” CO2 Values: The European Passenger Car Market in its First Year After Introducing the WLTP (2020).
S. Itahashi, I. Uno et al., Nitrate transboundary heavy pollution over East Asia in winter. Atmospheric Chemistry and Physics 17 (2017) pp. 383-3843. https://doi.org/10.5194/acp-17-3823-2017
S. Chen, T. Yuan et al., Dust modeling over East Asia during the summer of 2010 using the WRF-Chem model, Journal of Quantitative Spectroscopy and Radiative Transfer 213 (2018) pp. 1-12. https://doi.org/10.1016/j.jqsrt.2018.04.013
S. Sridharan, M. Kumar et al., Microplastics as an emerging source of particulate air pollution: A critical review, Journal of Hazardous Materials 418 (2021) p. 126245. https://doi.org/10.1016/j.jhazmat.2021.126245
X. Fu, Z. Cheng et al., Local and Regional Contributions to Fine Particle Pollution in Winter of the Yangtze River Delta, China, Aerosol and Air Quality Research 16 (2016) pp. 1067-1080. https://doi.org/10.4209/aaqr.2015.08.0496
Y. Wang, Y. Li et al., Inter-city air pollutant transport in The Beijing-Tianjin-Hebei urban agglomeration: Comparison between the winters of 2012 and 2016, Journal of Environmental Management 250 (2019) p. 109520. https://doi.org/10.1016/j.jenvman.2019.109520
S.A. Sarkodie, P.A. Owusu, Global effect of city-to-city air pollution, health conditions, climatic & socio-economic factors on COVID-19 pandemic, Science of The Total Environment 778 (2021) p. 146394. https://doi.org/10.1016/j.scitotenv.2021.146394
Y. Wang, S. Bao, Local and regional contributions to fine particulate matter in Beijing during heavy haze episodes, Science of The Total Environment 580 (2017) pp. 283-296. https://doi.org/10.1016/j.scitotenv.2016.12.127
L. Mahmood, M. Ghommem, Z. Bahroun, Smart Gas Sensors: Materials, Technologies, Practical Applications, and Use of Machine Learning – A Review, Journal of Applied and Computational Mechanics 9 (3) (2023) pp. 775-803. https://doi.org/10.22055/JACM.2023.41985.3851
A. Csikós, T. Tettamanti, I. Varga, Macroscopic Modeling and Control of Emission in Urban Road Traffic Networks, Transport 30 (2015) pp. 152-161. https://doi.org/10.3846/16484142.2015.1046137
C. Quaassdorff, R. Borge et al., Microscale traffic simulation and emission estimation in a heavily trafficked roundabout in Madrid (Spain), Science of the Total Environment 566–567 (2016) pp. 416-427. https://doi.org/10.1016/j.scitotenv.2016.05.051
F. Kuik, A. Kerschbaumer et al., Top–down quantification of NOX emissions from traffic in an urban area using a high-resolution regional atmospheric chemistry model, Atmospheric Chemistry and Physics 18 (2018) pp. 8203-8225. https://doi.org/10.5194/acp-18-8203-2018
J.D. Lee, C. Helfter et al., Measurement of NOX Fluxes from a Tall Tower in Central London, UK and Comparison with Emissions Inventories, Environmental Science & Technology 49 (2015) pp. 1025-1034. https://doi.org/10.1021/es5049072
T. Karl, M. Graus et al., Urban eddy covariance measurements reveal significant missing NOX emissions in Central Europe, Scientific Reports 7 (2017) p. 2536. https://doi.org/10.1038/s41598-017-02699-9
J. Lu, B. Li et al., Expansion of city scale, traffic modes, traffic congestion, and air pollution, Cities 108 (2021) p. 102974. https://doi.org/10.1016/j.cities.2020.102974
A. Kovács, Á. Leelőssy et al., Coupling traffic originated urban air pollution estimation with an atmospheric chemistry model. Urban Climate 37 (2021) p. 100868. https://doi.org/10.1016/j.uclim.2021.100868
R.M. Harrison, T. Vu et al., More mileage in reducing urban air pollution from road traffic, Environment International 149 (2021) p. 106329. https://doi.org/10.1016/j.envint.2020.106329
T.V. Vu, Z. Shi et al., Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique, Atmospheric Chemistry and Physics 19 (2019) pp. 11303-11314. https://doi.org/10.5194/acp-19-11303-2019
H. Wang, P. Brimblecombe, K. Ngan, A numerical study of local traffic volume and air quality within urban street canyons, Science of the Total Environment 791 (2021) p. 148138. https://doi.org/10.1016/j.scitotenv.2021.148138
D. Rodriguez-Rey, M. Guevara et al., To what extent the traffic restriction policies applied in Barcelona city can improve its air quality? Science of the Total Environment 807 (2) (2022) p. 150743. https://doi.org/10.1016/j.scitotenv.2021.150743
H. O’Leary, S. Parr, M. M.H. El-Sayed, The breathing human infrastructure: Integrating air quality, traffic, and social media indicators, Science of The Total Environment 827 (2022) p. 154209. https://doi.org/10.1016/j.scitotenv.2022.154209
J. Liang, P. He, Y. Qiu, Energy transition, public expressions, and local officials’ incentives: Social media evidence from the coal-to-gas transition in China, Journal of Cleaner Production 298 (2021) p. 126771. https://doi.org/10.1016/j.jclepro.2021.126771
L. Makra, H. Mayer et al., Variations of traffic related air pollution on different time scales in Szeged, Hungary and Freiburg, Germany, Physics and Chemistry of the Earth 35 (2010) pp. 85-94. https://doi.org/10.1016/j.pce.2010.03.005
S. R. Gadsdon, S. A. Power, Quantifying local traffic contributions to NO2 and NH3 concentrations in natural habitats, Environmental Pollution 157 (10) (2009) pp. 2845-2852. https://doi.org/10.1016/j.envpol.2009.04.010
I. Sundvor, N.C. Balaguer et al., Road traffic’s contribution to air quality in European cities, ETC/ACM (2012)
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