Evaluation of dynamics of atmospheric air pollution of the city center by emissions of the road transport using cartographic method

A.A. Dementyev, A.M. Tsurgan, N.V. Chudinin, D.A. Soloviev

FSBEI HE “Ryazan State Medical University named after Academician I.P. Pavlova”

Ministry of Health of Russia, RF, Ryazan, st. High-voltage, 9

E-mail: soldos1@yandex.ru

DOI: 10.33075/2220-5861-2020-3-81-89

UDC 614.72:629.2](470.313)


   When characterizing vehicle emissions, as a rule, the speed of traffic flows is not taken into account, which significantly reduces its accuracy. In this regard, the use of the cartographic method for assessing the speed of traffic flows on the tracks is quite reasonable and relevant.

   The assessment of the intra-annual dynamics of the intensity of traffic flows and emissions of the main components of exhaust gases by vehicles on the streets of the city of Ryazan and bypass roads using a cartographic method for recording the intensity of traffic flows was carried out.

   The study was conducted in 2018–2019 on the territory of Ryazan. The material used for the study was cartographic data published in free access on the website www.yandex.ru traffic jams. The length of traffic flows with a speed of 5-10 km / h (heavy traffic conditions – TTU) was determined at different times of the day on days of the week. The indicators of the average hourly length of heavy transport conditions were calculated. Bypass roads of the city were characterized by a significantly greater length of sections with TTU compared to the city streets from Tuesday to Thursday and Sunday (p <0.05). The increased complication of traffic conditions during morning and evening rush hours led to an average annual increase in emissions of the main components of vehicle exhaust gases of 17.7% and 14.9% respectively, with the largest increase in emissions being typical for the city center. At the same time, the maximum complication of transport conditions on the bypass roads was observed in the summer and spring (from Monday to Wednesday and Sunday), while on city highways - on working days in the autumn and weekends in winter. On the city streets, the greatest length of heavy traffic conditions during the morning rush hour was observed in winter, and the shortest was in summer, while the evening rush hour, on the contrary, was most pronounced in autumn. On the bypass roads, there was a clear tendency towards heavier transport conditions over a longer period of the day according to the scheme winter–autumn–spring–summer.

Keywords: vehicles, air pollution, emissions, harsh transport conditions.

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  1. Lygin S.A., Safiullin A.R. Influence of vehicles on the ecological state of atmospheric air in the city of Birsk in the Republic of Bashkortostan // Innovations in Science. 2018. Vol. 77. No. 1. P. 25–27
  2. Mirjam CR, Nicole AH Janssena, Jeroen JD [et al.] Air pollution from traffic in city districts near major motorways. Atmospheric Environment. 1998; 32: 1921–1930. DOI: https://doi.org/10.1016/S1352-2310(97)00496-2
  3. Dementyev A.A., Lyapkalo A.A., Tsurgan A.M. The influence of wind direction on the quality of atmospheric air in the historical center of Ryazan in the warm season // Science of the Young (Eruditio Juvenium). 2015. No. 1. P. 35–42.
  4. Kukkoev S.P., Nikishina T.F., Nikolaevich P.N. On the influence of atmospheric air pollution in the city of Krasnodar on the health of the population // Public health and environment. 2017. No. 7 (292). P. 22–25.
  5. Dementyev A.A., Lyapkalo A.A., Tsurgan A.M. Influence of the main components of vehicle exhaust gases on the health status of the child population in the center of the subject of the Federation // Science of the young (Eruditio Juvenium). 2018. T. 6. No. 1. P. 19–27.
  6. Dementyev A.A., Lyapkalo A.A., Konovalov O.E., Tsurgan A.M. Influence of road transport on the quality of life of citizens living at different distances from highways // Russian medical and biological bulletin named after I. Academician I.P. Pavlova. 2016. T. 24. No. 3. P. 67–73.
  7. Dementyev A.A., Lyapkalo A.A., Konovalov O.E. Tsurgan A.M. Dynamics and trends of the general morbidity of the child population in urbanized areas with different quality of atmospheric air // Bulletin of the Peoples’ Friendship University of Russia. Series: Medicine. 2016. No. 3. P. 100–105
  8. Preliminary estimate of the population of the Ryazan region on January 1, 2019 and on average for 2018: Territorial body of the Federal State Statistics Service for the Ryazan region. Access mode: http://ryazan.gks.ru/wps/wcm/connect/rosstat_ts/ryazan/resources/ (Date of access: 09.03.2019)
  9. Grzhibovsky A.M., Ivanov S.V. Comparison of quantitative data from three or more independent samples using Statistica and SPSS software: parametric and nonparametric criteria // Science and Health. 2016. No. 4. P. 5–37.
  10. Grzhibovsky A.M., Ivanov S.V. Environmental (correlation) research in health care // Science and Health. 2015. No. 5. P. 5–18.
  11. Schwartz J, Litonjua A, Suh H, et al. Traffic related pollution and heart rate variability in a panel of elderly subjects. Thorax. 2005; 60: 455-461.DOI: 10.1136 / thx.2004.024836
  12. Schikowski T, Sugiri D, Ranft U, et al. Long-term air pollution exposure and living close to busy roads are associated with COPD in women. Respiratory Research. 2005; 6: 152. DOI: 10.1186 / 1465-9921-6-152
  13. Künzli N, Bridevaux PO, Liu L-J S, et al. Traffic-related air pollution correlates with adult-onset asthma among never-smokers. Thorax. 2009; 64: 664-670. http://dx.doi.org/10.1136/thx.2008.110031
  14. Yorifuji T, Naruse H, Kashima S, et al. Residential proximity to major roads and preterm births. Epidemiology. 2011; 22 (1): P. 74–80. DOI: 10.1097 / EDE.0b013e3181fe759f
  15. Sathe Yogesh V. Air Quality Modeling in Street canyons of Kolhapur City, Maharashtra, India. Universal of Environmental Research and Technology. 2012; 2 (2): P. 97–105.
  16. Düring I, Bächlin W, Ketzel M, et al. A new simplified NO / NO2 conversion model under consideration of direct NO2-emissions. Meteorologische Zeitschrift. 2011; 20 (1): 67–73. DOI: 10.1127 / 0941-2948 / 2011/0491.
  17. Nguyen TN, Nguyen TC, Nguyen VT. Numerical simulation of wind flow and pollution transport in urban street canyons. Advanced Science and Technology Letters. 2015; 120: P. 770–777. DOI: 10.14257 / astl.2015.120.152.
  18. Azeez OS, Pradhan B, Shafri HZM. Vehicular CO Emission Prediction Using Support Vector Regression Model and GIS. Sustainability. 2018; 10 (10): 3434. https://doi.org/10.3390/su10103434
  19. Jandacka D, Durcanska D, Bujdos M. The contribution of road traffic to particulate matter and metals in air pollution in the vicinity of an urban road. Transportation research part transportation and environment. 2017; 50: P. 397–408.

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