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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
20.12.2023
DOI
https://doi.org/10.7307/ptt.v35i6.387
ISSUE
2023 (Vol 35), Issue 6
LICENSE
Copyright (c) 2024 Milja SIMEUNOVIĆ, Radoslav KOJIĆ, Nebojša RALEVIĆ, Pavle PITKA, Tatjana KOVAČEVIĆ
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This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Influence of Traffic Flow and Meteorological Conditions on Air Pollution – A Case Study

Authors:Milja SIMEUNOVIĆ, Radoslav KOJIĆ, Nebojša RALEVIĆ, Pavle PITKA, Tatjana KOVAČEVIĆ

Abstract

In this paper, the influence of traffic flow volume and meteorological conditions on carbon monoxide (CO), particulate matter (PM), ozone (O3) and sulphur dioxide (SO2) concertation is determined based on the measurements conducted at a selected location over a 784-hour period. Multivariate Analysis of Variance (MANOVA) and Analysis of Variance (ANOVA) were applied to the data set. Regression analysis was also used to determine trends in pollutant concentrations as a function of traffic flow and meteorological parameters. Analysis of the obtained data indicates a statistically significant relationship between traffic volume and meteorological parameters on the one hand and pollutants on the other. However, increase in the value of certain input variables does not necessarily result in the increase in pollutant concentration. CO and O3 showed a significant dependence on the number of vehicles, while for SO2 the influence of commercial vehicles was greater than that of passenger cars. The relationship between the number of vehicles and PM was not evident at the study site.

Keywords:traffic flow, meteorological parameters, carbon monoxide, particulate matter, ozone, sulphur dioxide

References

  1. [1] Brůhová Foltýnová H, Vejchodská E, Rybová K, Květoň V. Sustainable urban mobility: One definition, different stakeholders’ opinions. Transportation Research Part D: Transport and Environment. 2020;87(2):102465. DOI: 10.1016/j.trd.2020.102465.
  2. [2] IPCC. Climate Change 2014: Mitigation of Climate Change. 2014;38(2). DOI: 10.2134/jeq2008.0024br [Accessed 19th Feb. 2021].
  3. [3] William Todts. CO2 emissions from cars: The facts. European Federation for Transport and Environment AISBL, 2018. https://www.transportenvironment.org/wp-content/uploads/2021/07/2018_04_CO2_emissions_cars_The_facts_report_final_0_0.pdf [Accessed 19th Feb. 2021].
  4. [4] Pribyl O, Blokpoel R, Matowicki M. Addressing EU climate targets: Reducing CO2 emissions using cooperative and automated vehicles. Transportation Research Part D: Transport and Environment. 2020;86(July):102437. DOI: 10.1016/j.trd.2020.102437.
  5. [5] Kelller M. Pollutant emissions from road transport, 1990 to 2035. Federal Office for the Environment FOEN, 2010. https://www.bafu.admin.ch/bafu/en/home/topics/air/publications-studies/publications/pollutant-emissions-from-road-transport-1990-to-2035.html [Accessed 22nd Feb. 2021].
  6. [6] WHO. Air quality guidelines for Europe. 2005. https://www.euro.who.int/__data/assets/pdf_file/0005/78638/E90038.pdf [Accessed 27th Jan. 2021].
  7. [7] Manisalidis I, Stavropoulou E, Stavropoulos A, Bezirtzoglou E. Environmental and health impacts of air pollution: A review. Frontiers in Public Health. 2020;8(February):1-13. DOI: 10.3389/fpubh.2020.00014.
  8. [8] Kim J. Case Study: Health effects of traffic-related air pollution in a small community. 2015. https://www.publichealthontario.ca/-/media/documents/C/2015/case-study-traffic-pollution.pdf?la=en [Accessed 23rd Feb. 2021].
  9. [9] Hua J, et al. Competing PM2.5 and NO2 holiday effects in the Beijing area vary locally due to differences in residential coal burning and traffic patterns. Science of the Total Environment. 2021;750:141575. DOI: 10.1016/j.scitotenv.2020.141575.
  10. [10] Mahmoud M, et al. The impacts of different heating systems on the environment: A review. Science of the Total Environment. 2021;766:142625. DOI: 10.1016/j.scitotenv.2020.142625.
  11. [11] Baykara M, Im U, Unal A. Evaluation of impact of residential heating on air quality of megacity Istanbul by CMAQ. Science of the Total Environment. 2019;651:1688-1697. DOI: 10.1016/j.scitotenv.2018.10.091.
  12. [12] Athanasopoulou E, et al. Changes in domestic heating fuel use in Greece: Effects on atmospheric chemistry and radiation. Atmospheric Chemistry and Physics. 2017;17(17):10597-10618. DOI: 10.5194/acp-17-10597-2017.
  13. [13] Casey JG, Ortega J, Coffey E, Hannigan M. Low-cost measurement techniques to characterize the influence of home heating fuel on carbon monoxide in Navajo homes. Science of the Total Environment. 2018;625:608-618. DOI: 10.1016/j.scitotenv.2017.12.312.
  14. [14] Li Q, et al. Impacts of household coal and biomass combustion on indoor and ambient air quality in China: Current status and implication. Science of the Total Environment. 2017;576:347-361. DOI: 10.1016/j.scitotenv.2016.10.080.
  15. [15] EP. Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe. 2008. https://eur-lex.europa.eu/legal-content/en/ALL/?uri=CELEX%3A32008L0050 [Accessed 16th Sep. 2019].
  16. [16] Borken J, et al. Health effects of transport-related air pollution. WHO Regional Office for Europe. 2005. https://www.euro.who.int/__data/assets/pdf_file/0007/74716/e86650sum.pdf [Accessed 18th Nov. 2020].
  17. [17] WHO. 9 out of 10 people worldwide breathe polluted air, but more countries are taking action. 2018. https://www.who.int/news-room/detail/02-05-2018-9-out-of-10-people-worldwide-breathe-polluted-air-but-more-countries-are-taking-action [Accessed 23rd Feb. 2021].
  18. [18] Alvarado-Molina M, et al. Improving traffic-related air pollution estimates by modelling minor road traffic volumes. Environmental Pollution. 2023;338:122657. DOI: 10.1016/j.envpol.2023.122657.
  19. [19] Strak M, et al. Long term exposure to low level air pollution and mortality in eight European cohorts within the ELAPSE project: Pooled analysis. BMJ. 2021;374:n1904. DOI: 10.1136/bmj.n1904.
  20. [20] Habermann M. Vehicular traffic as a method to evaluate air pollution in large cities [Tráfego veicular como método de avaliação da exposição à poluição atmosférica nas grandes metrópoles]. Revista Brasileira de Epidemiologia. 2011;14(1):1-11.
  21. [21] Marcilio I, Gouveia N. Quantifying the impact of air pollution on the urban population of Brazil. Cadernos de Saúde Pública. 2007;23(4):529-536. DOI: 10.1590/S0102-311X2007001600013.
  22. [22] Ahlawat P, Shukla V. Monitoring of air pollution and assessment of its risk on traffic policemen. Journal of Applied and Natural Science. 2010;2(2):296-299. DOI: 10.31018/jans.v2i2.138.
  23. [23] Merico E, Dinoi A, Contini D. Development of an integrated modelling-measurement system for near-real-time estimates of harbour activity impact to atmospheric pollution in coastal cities. Transportation Research Part D: Transport and Environment. 2019;73(June):108-119. DOI: 10.1016/j.trd.2019.06.009.
  24. [24] Gauderman WJ, et al. Effect of exposure to traffic on lung development from 10 to 18 years of age: A cohort study. The Lancet. 2007;369(9561):571-577. DOI: 10.1016/S0140-6736(07)60037-3.
  25. [25] Boogaard H, et al. Long-term exposure to traffic-related air pollution and non-accidental mortality: A systematic review and meta-analysis. Environment International. 2023;176.107916. DOI: 10.1016/j.envint.2023.107916.
  26. [26] Samet J, et al. The national morbidity, mortality, and air pollution study. Part II: Morbidity and mortality from air pollution in the United States. Research Report Health Effects Institute. 2000;94(Pt 2):5-70. http://tesuque.cabq.gov/airquality/pdf/samet2.pdf%5Cnhttp://www.ihapss.jhsph.edu/data/NMMAPS/R/%5Cnhttp://www.cabq.gov/airquality/pdf/samet2.pdf [Accessed 2nd Apr. 2021].
  27. [27] Schwela D. Air pollution and health in urban areas. Reviews on Environmental Health. 2000;15(1-2):13-42. DOI: 10.1515/REVEH.2000.15.1-2.13.
  28. [28] Hoek G, et al. Association between mortality and indicators of traffic-related air pollution in the Netherlands: A cohort study. The Lancet. 2002;360(9341):1203-1209. DOI: 10.1016/S0140-6736(02)11280-3.
  29. [29] Khajavi A, Khalili D, Azizi F, Hadaegh F. Impact of temperature and air pollution on cardiovascular disease and death in Iran: A 15-year follow-up of Tehran Lipid and Glucose Study. Science of the Total Environment. 2019;661:243-250. DOI: 10.1016/j.scitotenv.2019.01.182.
  30. [30] Zhao L, et al. Association between air pollution and cardiovascular mortality in China: A systematic review and meta-analysis. Oncotarget. 2017;8(39):66438-66448. DOI: 10.18632/oncotarget.20090.
  31. [31] Yang BY, et al. Ambient PM1 air pollution, blood pressure, and hypertension: Insights from the 33 Communities Chinese Health Study. Environmental Research. 2019;170:252-259. DOI: 10.1016/j.envres.2018.12.047.
  32. [32] Bokwa A. Environmental impacts of long-term air pollution changes in Kraków, Poland. Polish Journal of Environmental Studies. 2008;17(5):673-686.
  33. [33] Zhang H, Wang Y, Zeng C. Dynamic traffic allocation model considering the effects of vehicle emission diffusion. Promet – Traffic&Transportation. 2023;35(2):184-94. DOI: 10.7307/ptt.v35i2.38.
  34. [34] Wang Y, Hua Z. Mitigation strategies for controlling urban particulate pollution from traffic congestion: Road expansion and road public transport. Journal of Environmental Management. 2023;345:118795. DOI: 10.1016/j.jenvman.2023.118795.
  35. [35] Harish M. A study on air pollution by automobiles in Bangalore City. Management Research and Practice. 2012;4(3):25-36.
  36. [36] Ukpebor EE, et al. Spatial and diurnal variations of carbon monoxide (CO) pollution from motor vehicles in an urban centre. Polish Journal of Environmental Studies. 2010;19(4):817-823.
  37. [37] Kho FWL, Law PL, Ibrahim SH, Sentian J. Carbon monoxide levels along roadway. International Journal of Environmental Science & Technology. 2007;4(1):27-34. DOI: 10.1007/BF0332595.
  38. [38] Singh V, Sahu SK, Kesarkar AP, Biswal A. Estimation of high resolution emissions from road transport sector in a megacity Delhi. Urban Climate. 2018;26:109-120. DOI: 10.1016/j.uclim.2018.08.011.
  39. [39] Hama SML, et al. Four-year assessment of ambient particulate matter and trace gases in the Delhi-NCR region of India. Sustainable Cities and Society. 2020;54:102003. DOI: 10.1016/j.scs.2019.102003.
  40. [40] Abbass RA, Kumar P, El-Gendy A. Car users exposure to particulate matter and gaseous air pollutants in megacity Cairo. Sustainable Cities and Society. 2020;56:102090. DOI: 10.1016/j.scs.2020.102090.
  41. [41] Yang Q, Shen H, Liang Z. Analysis of particulate matter and carbon monoxide emission rates from vehicles in a Shanghai tunnel. Sustainable Cities and Society. 2020;56(2999):102104. DOI: 10.1016/j.scs.2020.102104.
  42. [42] Kim Y, Guldmann J M. Impact of traffic flows and wind directions on air pollution concentrations in Seoul, Korea. Atmospheric Environment. 2011;45(16):2803-2810. DOI: 10.1016/j.atmosenv.2011.02.050.
  43. [43] Li C, et al. Spatial distribution characteristics of gaseous pollutants and particulate matter inside a city in the heating season of Northeast China. Sustainable Cities and Society. 2020;61(May):102302. DOI: 10.1016/j.scs.2020.102302.
  44. [44] Reiminger N, et al. Effects of wind speed and atmospheric stability on the air pollution reduction rate induced by noise barriers. Journal of Wind Engineering and Industrial Aerodynamics. 2020;200:104160. DOI: 10.1016/j.jweia.2020.104160.
  45. [45] Yin Q, Wang J, Hu M, Wong H. Estimation of daily PM2.5 concentration and its relationship with meteorological conditions in Beijing. Journal of Environmental Sciences. 2016;48:161-168. DOI: 10.1016/j.jes.2016.03.024.
  46. [46] Wang HL, et al. Chemical composition of PM2.5 and meteorological impact among three years in urban Shanghai, China. Journal of Cleaner Production. 2016;112:1302-1311. DOI: 10.1016/j.jclepro.2015.04.099.
  47. [47] Zhang H, et al. Relationships between meteorological parameters and criteria air pollutants in three megacities in China. Environmental research. 2015;140:242-254. DOI: 10.1016/j.envres.2015.04.004.
  48. [48] Alameddine I, et al. Operational and environmental determinants of in-vehicle CO and PM2.5 exposure. Science of the Total Environment. 2016;551:42-50. DOI: 10.1016/j.scitotenv.2016.01.030.
  49. [49] Kalisa E, et al. Temperature and air pollution relationship during heatwaves in Birmingham, UK. Sustainable Cities and Society. 2018;43:111-120. DOI: 10.1016/j.scs.2018.08.033.
  50. [50] Jayamurugan R, Kumaravel B, Palanivelraja S, Chockalingam MP. Influence of temperature, relative humidity and seasonal variability on ambient air quality in a coastal urban area. International Journal of Atmospheric Sciences. 2013;2013(March 2016):1-7. DOI: 10.1155/2013/264046.
  51. [51] Vujic B, et al. Experimental and artificial neural network approach for forecasting of traffic air pollution in urban areas: The case of Subotica. Thermal Science. 2010;14(suppl.):79-87. DOI: 10.2298/TSCI100507032V.
  52. [52] Azhari A, Latif MT, Mohamed AF. Road traffic as an air pollutant contributor within an industrial park environment. Atmospheric Pollution Research. 2018;9(4):680-7. DOI: 10.1016/j.apr.2018.01.007.
  53. [53] Ngo KQ, et al. Street-scale dispersion modelling framework of road-traffic derived air pollution in Hanoi, Vietnam. Environmental Research. 2023;233:116497. DOI: 10.1016/j.envres.2023.116497.
  54. [54] Akinosho TD, et al. Deep learning-based multi-target regression for traffic-related air pollution forecasting. Machine Learning with Applications. 2023;7:100474. DOI: 10.1016/j.mlwa.2023.100474.
  55. [55] Zalakeviciute R, López-Villada J, Rybarczyk Y. Contrasted effects of relative humidity and precipitation on urban PM2.5 pollution in high elevation urban areas. Sustainability. 2018;10(6):2064. DOI: 10.3390/su10062064.
  56. [56] Kubica K, Paradiz B, Dilara P. Small combustion installations: Techniques, emissions and measures for emission reduction. Institute for Environment and Sustainability. JRC Scientific and Technical Reports, 2007. DOI: 10.2788/63329.
  57. [57] Wang S, Luo K. Life expectancy impacts due to heating energy utilization in China: Distribution, relations, and policy implications. Science of the Total Environment. 2018;610:1047-1056. DOI: 10.1016/j.scitotenv.2017.08.195.
  58. [58] Liang B, Li X, Ma K, Liang S. Pollution characteristics of metal pollutants in PM2.5 and comparison of risk on human health in heating and non-heating seasons in Baoding, China. Ecotoxicology and Environmental Safety. 2019;170:166-171. DOI: 10.1016/j.ecoenv.2018.11.075.
  59. [59] Abou Rafee SA, et al. Contributions of mobile, stationary and biogenic sources to air pollution in the Amazon rainforest: A numerical study with the WRF-Chem model. Atmospheric Chemistry and Physics. 2017;17(12):7977-7995. DOI: 10.5194/acp-2016-1190.
  60. [60] Li X, et al. Fine particulate matter and gas emissions at different burn phases from household coal-fired heating stoves. Atmospheric Environment. 2023;(305):119803.
  61. [61] Huang C, et al. Emission inventory of anthropogenic air pollutants and VOC species in the Yangtze River Delta region, China. Atmospheric Chemistry and Physic. 2011;11(9):4105-4120.
  62. [62] Zheng B, et al. Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions. Atmos. Chem. Phys. 2019;235:14095-14111. DOI: 10.5194/acp-18-14095-2018.
  63. [63] Peng L, et al. Underreported coal in statistics: A survey-based solid fuel consumption and emission inventory for the rural residential sector in China. Applied Energy. 2019;235:1169-1182. DOI: 10.1016/j.apenergy.2018.11.043.
  64. [64] Bari MA, Baumbach G, Kuch B, Scheffknecht G. Temporal variation and impact of wood smoke pollution on a residential area in southern Germany. Atmospheric Environment. 2010;44(31):3823-3832. DOI: 10.1016/j.atmosenv.2010.06.031.
  65. [65] Chafe Z. et al. Residential heating with wood and coal: Health impacts and policy options in Europe and North America. Copenhagen, Denmark: World Health Organization; 2015. https://www.julkari.fi/bitstream/handle/10024/129716/Chafeetall_.WorldHealthOrganizationRegionalOfficeforEurope.pdf?sequence=1 [Accessed 5th June 2023].
  66. [66] Kojić R. Model of evaluating the impact of traffic flows and meteorological parameters at concentration levels of hazardous carbon monoxide. PhD thesis. Faculty of Technical Sciences, University of Novi Sad; 2016.
  67. [67] Ciuta I, et al. Comply or Close: How Western Balkan coal plants breach air pollution laws and cause deaths and what governments must do about it. Centre for Research on Energy and Clean Air and CEE Bankwatch Network; 2021.
  68. [68] Chaloulakou A, et al. Measurements of PM10 and PM2.5 particle concentrations in Athens, Greece. Atmospheric Environment. 2003;37(5):649-660. DOI: 10.1016/S1352-2310(02)00898-1.
  69. [69] Huang G, et al. Characterizing spatiotemporal patterns of elevated PM2. 5 exposures in a megacity of China using combined mobile and stationary measurements. Atmospheric Environment. 2023;307:119821. DOI: 10.1016/j.atmosenv.2023.119821.
  70. [70] Xu WY, et al. Characteristics of pollutants and their correlation to meteorological conditions at a suburban site in the North China Plain. Atmospheric Chemistry and Physics. 2011;11(9):4353-69. DOI: 10.5194/acp-11-4353-2011.
  71. [71] Kayes I, et al. The relationships between meteorological parameters and air pollutants in an urban environment. Global Journal of Environmental Science and Management. 2019;5(3):265-78. DOI: 10.22034/GJESM.2019.03.01.
  72. [72] Mirzahossein H, Safari F, Hassannayebi E. Estimation of highway capacity under environmental constraints vs. conventional traffic flow criteria: A case study of Tehran. Journal of Traffic and Transportation Engineering (English Edition). 2021;8(5):751-61. DOI: 10.1016/j.jtte.2020.04.006.
  73. [73] Sahanavin N, Prueksasit T, Tantrakarnapa K. Relationship between PM 10 and PM 2.5 levels in high-traffic area determined using path analysis and linear regression. Journal of Environmental Sciences. 2018;69(May):105-114. DOI: 10.1016/j.jes.2017.01.017.
  74. [74] Gulia S, Nagendra SS, Barnes J, Khare M. Urban local air quality management framework for non-attainment areas in Indian cities. Science of the Total Environment. 2018;1(619):1308-18. DOI: 10.1016/j.scitotenv.2017.11.123.
  75. [75] Degraeuwe B, et al. Urban NO2 Atlas. EUR 29943 EN. Publications Office of the European Union, Luxembourg; 2019. DOI: 10.2760/43523.
  76. [76] Janssen NAH, et al. The relationship between air pollution from heavy traffic and allergic sensitization, bronchial hyper responsiveness, and respiratory symptoms in Dutch schoolchildren. Environ Health Perspect. 2003;111(12):1512-1518. DOI: 10.1289/ehp.6243.
  77. [77] Jareemit D, Liu J, Srivanit M. Modeling the effects of urban form on ventilation patterns and traffic-related PM 2.5 pollution in a central business area of Bangkok. Building and Environment. 2023;244:110756. DOI: 10.1016/j.buildenv.2023.110756.
  78. [78] Campagnolo D, et al. Factors affecting in-vehicle exposure to traffic-related air pollutants: A review. Atmospheric Environment. 2022;295(2023):119560. DOI: 10.1016/j.atmosenv.2022.119560.
  79. [79] Proszak-Miąsik D, Rabczak S. Methods for reducing low emissions from heating devices in single- family housing. InE3S Web of Conferences. 2018;45:00069. DOI: 10.1051/e3sconf/20184500069.
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