Russian Federation
UDC 621.43.06
UDC 504.3
In the article, based on a critical review of positive practices for monitoring extreme pollution of the urban environment with transport pollutants, a comprehensive two-level instrumental and digital methodology for assessing and predicting the hazardous impact of exhaust gases on the population in the abnormal physical state of the troposphere caused by temperature inversion and weak wind is substantiated. At the first stage of the methodology implementation, zones of extreme pollution of the urban area are determined based on data processed by a neural network, concentration fields of substances measured by stationary and mobile stations.The concentration fields are approximated using the Gaussian model. At the second stage, extremely dangerous, in relation to the LTCMS, accumulations of substances in exhaust gases at the levelof breathing of city residents are calculated using atmospheric diffusion equations in relationto the conditions of intense traffic during rush hours. For priority pollutants, for places of joint influence of motor transport and ships, the probability of exceeding concentrations of NO2 and PM2.5-10, respectively, up to 4–7 LTCMS and 2–3 LTCMS is substantiated. Original authorial approachesto forecasting emergency situations are implemented in domestic and international methods.
city, transport, pollutants, troposphere, abnormal condition, emergency, forecasting, artificial intelligence
1. Nauchno obosnovannyj prognoz adaptacii sektora avtomobil'nogo transporta k veroyatnym posledstviyam izmeneniya klimata i vozmozhnye scenarii ego dekarbonizacii v Rossijskoj Federacii: monografiya / Yu. Trofimenko [i dr.]. M.: OOO «Centr transportnyh innovacij», Centr energetiki Moskovskoj shkoly upravleniya SKOLKOVO, 2022. 134 s.
2. Lozhkina O.V., Malyshev S.A., Hahlenov A.V. Issledovanie opasnogo zagryazneniya pridorozhnogo vozduha melkodispersnymi vzveshennymi chasticami RM10 i RM2,5 na primere Sankt-Peterburga // Problemy upravleniya riskami v tekhnosfere. 2021. № 2 (59). S. 96–103. EDN: https://elibrary.ru/ETSSIG.
3. Effect of automobile exhaust emission on human health and environment in India:a systematic review / J.M. Pardiwala [et al.] // CHEMICAL PAPERS. Indexed 2025-06-23. Document Type: Review; Early Access. 2025. DOI:https://doi.org/10.1007/s11696-025-04082-9.
4. Lozhkin V.N., Kalimullina I.F., Sagirov E.A. Kontrol' chrezvychajnogo zagryazneniya vozduha transportom Sankt-Peterburga po kriteriyam nanosimogo ushcherba // Problemy upravleniya riskami v tekhnosfere. 2024. № 2 (70). S. 95–101. DOI:https://doi.org/10.61260/1998-8990-2024-2-95-101.
5. Gavkalyuk B.V., Lozhkin V.N., Smirnov A.S. Teoriya i praktika obespecheniya bezopasnosti primeneniya v usloviyah chrezvychajnyh situacij silovyh ustanovok pozharnyh avtomobilej4-5 pokolenij // Problemy upravleniya riskami v tekhnosfere. 2023. № 2 (66). S. 8–15. EDN: https://elibrary.ru/VRCPVS.
6. Measurement of Gaseous Exhaust Emissions of Light-Duty Vehicles in Preparationfor Euro 7: A Comparison of Portable and Laboratory Instrumentation / V. Valverde [et al.] // Energies. 2023. № 16. P. 2561. DOI:https://doi.org/10.3390/en16062561.
7. Euro 7 proposal assessment of a Euro VI parallel hybrid electric bus /N. Fonseca Gonz´alez [et al.] // Transportation Research Part D: Transport and Environment. 2024. Vol. 129. P. 104125. DOI:https://doi.org/10.1016/j.trd.2024.104125.
8. Doronin A.P., Timoshchuk A.S., Shabalin P.V. Rezul'taty issledovaniya meteorologicheskih uslovij formirovaniya vysokih urovnej zagryazneniya atmosfernogo vozduha v Sankt-Peterburgepo dannym za 2017 god // Trudy voenno-kosmicheskoj akademii im. A.F. Mozhajskogo. 2017. № 662. S. 129–134. EDN: https://elibrary.ru/YSWXDN.
9. Kulakova E.S., Rodionov G.A. Iskusstvennaya nejronnaya set' dlya prognozirovaniya koncentracii zagryaznyayushchih veshchestv atmosfernogo vozduha na razlichnoj vysote // Vestnik nauchnogo centra VostNII po promyshlennoj i ekologicheskoj bezopasnosti. 2024. № 2. S. 88–97. EDN: https://elibrary.ru/BVDNLX.
10. Vasil'ev A.N., Tarhov D.A. Nejrosetevoe modelirovanie. Principy. Algoritmy. Prilozheniya. SPb.: Izd-vo SPbGPU, 2009. 528 s. ISBN: 978-5-7422-2272-9. EDN: https://elibrary.ru/QMTVRJ.
