natureПриродопользованиеNature Management2079-3928Институт природопользования НАН Беларусиnature-84Research ArticleГЕОГРАФИЯ. ГЕОЭКОЛОГИЯGEOGRAPHY. GEOECOLOGYМоделирование выбросов загрязняющих веществ автомобильного транспорта с высоким пространственным разрешениемModeling road transport emissions of pollutants with high spatial resolutionКруковскаяО. Ю.KrukowskayaO. Yu.

Круковская Ольга Юрьевна – кандидат  географических наук, старший научный сотрудник

ул.  Ф. Скорины, 10, 220076, г. Минск

Olga Yu. Krukowskaya – Ph. D. (Georgaphy),  Senior Researcher

10, F. Skoriny Str., 220076, Minsk

o-krukowskaya@tut.byКакарекаС. В.KakarekaS. V.

Какарека Сергей Витальевич – доктор технических наук, профессор, заведующий лабораторией трансграничного загрязнения

 ул. Ф. Скорины, 10, 220076, г. Минск

Sergey V. Kakareka – D. Sc. (Technical), Professor, Head of Lab of Transboundary Pollution

10, F. Skoriny Str., 220076, Minsk

sk001@yandex.ruИнститут природопользования НАН БеларусиInstitute of Nature Management of the National Academy of Sciences of BelarusИнститут природопользования НАН БеларусиInstitute of Nature Management of the National Academy of Sciences of Belarus202303112025022438Copyright © Круковская О.Ю., Какарека С.В., 20252025Круковская О.Ю., Какарека С.В.Krukowskaya O.Y., Kakareka S.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.nature-journal.by/jour/article/view/84

Автомобильный транспорт является значимой категорией поступления в атмосферный воздух многих загрязняющих веществ, количественная и пространственно-временная точность оценок выбросов от которой играет важную роль в изучении загрязнения воздуха и выработке управленческих решений. В работе представлена методология получения оценки годовых выбросов с использованием восходящего подхода на основании моделирования пробега транспортных средств с пространственным разрешением 1 км × 1 км для всей территории Беларуси. Показана высокая пространственная неоднородность и различия в территориальной структуре выбросов различных загрязняющих веществ. Представлен вклад дорог различного уровня в суммарные выбросы, выявлены категории транспортных средств, их формирующие. Рассчитаны плотности выбросов оксида углерода, оксидов азота, неметановых летучих органических соединений и тонкодисперсных твердых частиц на урбанизированных и прочих территориях.

Road transport is a significant contributor to atmospheric air pollution, and accurate estimates of emissions are crucial for understanding and managing air pollution. This paper presents a bottom-up approach for estimating annual emissions based on vehicle mileage modeling with a spatial resolution of 1 km × 1 km for the entire territory of Belarus. The study highlights the high spatial heterogeneity and differences in the territorial structure of emissions of various pollutants. It also identifies the contribution of roads of different levels and categories of vehicles that form them. The emission densities of four major pollutants, namely carbon monoxide, nitrogen oxides, non-methane volatile organic compounds, and fine particulate matter in urban and other areas were calculated.

автомобильный транспортвыбросыатмосферный воздухоксид углеродаоксиды азотатвердые частицынеметановые летучие органические соединенияурбанизированные территории.road transportemissionsatmospheric aircarbon monoxidenitrogen oxidesparticulate matternonmethane volatile organic compoundsurban areasРабота выполнена в рамках Государственной программы научных исследований «Природные ресурсы и окружающая среда», подпрограммы «Природные ресурсы и их рациональное использование»; № госрегистрации 20160130.The study has been performed within The State program of scientific research «Nature management and ecology», subprogram «Natural resources and environmental safety»; state registration no. 20160130.ReferencesA methodology for high resolution vehicular emissions inventories in metropolitan areas: automotive technologies improvement / A. de S. Maes [et al.] // Transportation Research Part D : Transport and Environment. – 2019. – № 77. – P. 303–19. doi:10.1016/j.trd.2019.10.007Maes A. de S., Hoinaski L., Meirelles T. B. and Carlson R. C. A methodology for high resolution vehicular emissions inventories in metropolitan areas: automotive technologies improvement. Transportation Research Part D: Transport and Environment. 2019, no. 77, pp. 303–19. doi:10.1016/j.trd.2019.10.007A comparative analysis of two highly spatially resolved European atmospheric emission inventories / J. Ferreira [et al.] // Atmospheric Environment. – 2013. – № 75. – P. 43–57. doi:10.1016/j.atmosenv.2013.03.052Ferreira J. [et al.]. A comparative analysis of two highly spatially resolved European atmospheric emission inventories. Atmospheric Environment, 2013, no. 75, pp. 43–57. doi:10.1016/j.atmosenv.2013.03.052Spatial inter-comparison of Top-down emission inventories in European urban areas / M. Trombetti [et al.] // Atmospheric Environment. – 2018. – № 173. – P. 142–56. doi:10.1016/j.atmosenv.2017.10.032Trombetti M. [et al.]. Spatial inter-comparison of Top-down emission inventories in European urban areas. Atmospheric Environment, 2018, no. 173, pp. 142–56. doi:10.1016/j.atmosenv.2017.10.032Comparison of road traffic emission models in Madrid (Spain) / R. Borge [et al.] // Atmospheric Environment. – 2012. – № 62. – P. 461–71. doi:10.1016/j.atmosenv.2012.08.073Borge R. [et al.]. Comparison of road traffic emission models in Madrid (Spain). Atmospheric Environment, 2012, no. 62, pp. 461–71. doi:10.1016/j.atmosenv.2012.08.073Spatial disaggregation of traffic emission inventories in large cities using simplified top–down methods / P. De. Saide, [et al.] // Atmospheric Environment. – 2009. – № 43. – P. 4914–23. doi:10.1016/j.atmosenv.2009.07.013Saide P., Zah R., Osses M., Eicker M.O. De Spatial disaggregation of traffic emission inventories in large cities using simplified top-down methods. Atmospheric Environment, 2009, no. 43, pp. 4914–23. doi:10.1016/j.atmosenv.2009.07.013Evaluation of a simplified top-down model for the spatial assessment of hot traffic emissions in mid-sized cities / D. Tuia [et al.] // Atmospheric Environment. – 2007. – № 41. – P. 3658–71. doi:10.1016/j.atmosenv.2006.12.045Tuia D. [et al.]. Evaluation of a simplified top-down model for the spatial assessment of hot traffic emissions in mid-sized cities. Atmospheric Environment, 2007, no. 41, pp. 3658–71. doi:10.1016/j.atmosenv.2006.12.045Инструкция о порядке учета выбросов загрязняющих веществ в атмосферный воздух от мобильных источников выбросов [Электронный ресурс] : постановление Министерства природных ресурсов и охраны окружающей среды Респ. Беларусь, 15 февр. 2010 г., № 6 // Национальный правовой Интернет-портал Республики Беларусь. – Режим доступа: https://pravo.by/document/?guid=3961&p0=W21022110. – Дата доступа: 04.01.2023.Instruktsiya o poryadke ucheta vybrosov zagryaznyayushchikh veshchestv v atmosfernyy vozdukh ot mobil'nykh istochnikov vybrosov : postanovleniye Ministerstva prirodnykh resursov i okhrany okruzhayushchey sredy Respubliki Belarus' № 6 ot 15.02.2010 [Instructions on the procedure for recording emissions of pollutants into the atmospheric air from mobile emission sources. Resolution of the Ministry of Natural Resources and Environmental Protection of the Republic of Belarus, 15 February 2010, no. 6]. Available at: https://pravo.by/document/?guid=3961&p0=W21022110 (accessed 4 January 2023). (in Russian)Об утверждении экологических норм и правил [Электронный ресурс] : постановление Министерства природ ных ресурсов и охраны окружающей среды Респ. Беларусь, 29 дек. 2022 г., № 32-Т // Национальный правовой Интернет-портал Республики Беларусь. – Режим доступа: https://pravo.by/document/?guid=12551&p0=W22339600p&p1=1 – Дата доступа: 18.06.2023.Ob utverzhdenii ekologicheskikh norm i pravil: postanovleniye Ministerstva prirodnykh resursov i okhrany okruzhayushchey sredy Respubliki Belarus' ot 29 dekabrya 2022 g. № 32-T [On the approval of environmental norms and rules. Resolution of the Ministry of Natural Resources and Environmental Protection of the Republic of Belarus, 29 December 2022, no. 32-T]. Available at: https://pravo.by/document/?guid=12551&p0=W22339600p&p1=1 (accessed 18 June 2023). (in Russian)Интерактивная информационно-аналитическая система распространения официальной статистической информации [Электронный ресурс] / Национальный статистический комитет Республики Беларусь. – Режим доступа: http://dataportal.belstat.gov.by/. – Дата доступа: 22.01.2022.Interaktivnaya informatsionno-analiticheskaya sistema rasprostraneniya ofitsial'noy statisticheskoy informatsii: Natsional'nyy statisticheskiy komitet Respubliki Belarus' [Interactive information and analytical system for disseminating official statistical information]. National Statistical Committee of the Republic of Belarus. Available at: http://dataportal.belstat.gov.by/ (accessed 22 January 2022). (in Russian)A comprehensive high-resolution gridded emission inventory of anthropogenic sources of air pollutants in Indian megacity Kolkata / P. Mangaraj [et al.] // SN Applied Sciences, Springer International Publishing. – 2022. – № 4. doi:10.1007/s42452-022-05001-3Mangaraj P., Sahu S. K., Beig G., Yadav R. A comprehensive high-resolution gridded emission inventory of anthropogenic sources of air pollutants in Indian megacity Kolkata. SN Applied Sciences, 2022, no. 4. doi:10.1007/s42452-022-05001-3Downscaling national road transport emission to street level: A case study in Dublin, Ireland / M. S. Alam [et al.] // Journal of Cleaner Production. – 2018. – № 183. – P. 797–809. doi:10.1016/J.JCLEPRO.2018.02.206Alam M. S., Duffy P., Hyde B., McNabola A. Downscaling national road transport emission to street level: A case study in Dublin, Ireland. Journal of Cleaner Production, 2018, no. 183, pp. 797–809. doi:10.1016/J.JCLEPRO.2018.02.206Fameli, K. M. Development of a road transport emission inventory for Greece and the Greater Athens Area: Effects of important parameters / K. M. Fameli, V. D. Assimakopoulos // Science of the Total Environment. – 2015. – № 505. – P. 770–86. doi:10.1016/j.scitotenv.2014.10.015Fameli K. M., Assimakopoulos V. D. Development of a road transport emission inventory for Greece and the Greater Athens Area: Effects of important parameters. Science of the Total Environment, 2015, no. 505, pp. 770–86. doi:10.1016/j.scitotenv.2014.10.015Quantifying and spatial disaggregation of air pollution emissions from ground transportation in a developing country context: Case study for the Lima Metropolitan Area in Peru / Y. Romero [et al.] // The Science of the Total Environment. – 2020. – № 698.Romero Y. [et al.]. Quantifying and spatial disaggregation of air pollution emissions from ground transportation in a developing country context: Case study for the Lima Metropolitan Area in Peru. The Science of the Total Environment, 2020, no. 698.Sun, S. Vehicle emission trends and spatial distribution in Shandong province, China, from 2000 to 2014 / S. Sun, W. Jiang, W. Gao // Atmospheric Environment. – 2016. – № 147. – P. 190–9. doi:10.1016/j.atmosenv.2016.09.065Sun S., Jiang W., Gao W. Vehicle emission trends and spatial distribution in Shandong province, China, from 2000 to 2014. Atmospheric Environment, 2016, no. 147, pp. 190–9. doi:10.1016/j.atmosenv.2016.09.065Improving high resolution emission inventories with local proxies and urban eddy covariance flux measurements / B. Gioli [et al.] // Atmospheric Environment. – 2015. – № 115. – P. 246–56. https://doi.org/10.1016/j.atmosenv.2015.05.068Gioli B. [et al.]. Improving high resolution emission inventories with local proxies and urban eddy covariance flux measurements. Atmospheric Environment, 2015, no. 115, pp. 246–56. doi:10.1016/j.atmosenv.2015.05.068An improved system for modelling Spanish emissions: HERMESv2.0 / M. Guevara [et al.] // Atmospheric Environment. – 2013. – № 81. – P. 209–21. doi:10.1016/j.atmosenv.2013.08.053Guevara M. [et al.]. An improved system for modelling Spanish emissions: HERMESv2.0. Atmospheric Environment, 2013, no. 81, pp. 209–21. doi:10.1016/j.atmosenv.2013.08.053A bottom up approach to on-road CO2 emissions estimates: Improved spatial accuracy and applications for regional planning / C. K. Gately [et al.] // Environmental Science and Technology. – 2013. – № 47. – P. 2423–30. doi:10.1021/es304238vGately C. K., Hutyra L. R., Wing I. S., Brondfield M. N. A bottom up approach to on-road CO2 emissions estimates: Improved spatial accuracy and applications for regional planning. Environmental Science and Technology, 2013, no. 47, pp. 2423–30. doi:10.1021/es304238vThe impact of diesel vehicles on NOx and PM10 emissions from road transport in urban morphological zones: A case study in North Rhine-Westphalia, Germany / J. L. Breuer [et al.] // Science of the Total Environment. – 2020. – № 727. – P. 138583. doi:10.1016/j.scitotenv.2020.138583Breuer J. L., Samsun R. C., Peters R., Stolten D. The impact of diesel vehicles on NOx and PM10 emissions from road transport in urban morphological zones: A case study in North Rhine-Westphalia, Germany. Science of the Total Environment, 2020, no. 727, pp. 138583. doi:10.1016/j.scitotenv.2020.138583Compilation of a road transport emission inventory for the Province of Turin: Advantages and key factors of a bottom-up approach / L. Pallavidino [et al.] // Atmospheric Pollution Research. – 2014. – № 5. – P. 648–55. doi:10.5094/APR.2014.074Pallavidino L. [et al.]. Compilation of a road transport emission inventory for the Province of Turin: Advantages and key factors of a bottom-up approach. Atmospheric Pollution Research, 2014, no. 5, pp. 648–55. doi:10.5094/APR.2014.074High-resolution mapping of vehicle emissions of atmospheric pollutants based on large-scale, real-world traffic datasets / D. Yang [et al.] // Atmospheric Chemistry and Physics. – 2019. – № 19. – P. 8831–43. doi:10.5194/acp-19-8831-2019Yang D. [et al.]. High-resolution mapping of vehicle emissions of atmospheric pollutants based on large-scale, real-world traffic datasets. Atmospheric Chemistry and Physics, 2019, no. 19, pp. 8831–43. doi:10.5194/acp-19-8831-2019Assessment of discrepancies between bottom-up and regional emission inventories in Norwegian urban areas / S. López-Aparicio [et al.] // Atmospheric Environment. – 2017. – № 154. – P. 285–96. doi:10.1016/j.atmosenv.2017.02.004López-Aparicio S. [et al.]. Assessment of discrepancies between bottom-up and regional emission inventories in Norwegian urban areas. Atmospheric Environment, 2017, no. 154, pp. 285–96. doi:10.1016/j.atmosenv.2017.02.004European Environment Agency European Union emission inventory report 1990–2021 under the UNECE Convention on Long-range Transboundary Air Pollution (LRTAP). EEA Tech. Rep. 2023 [Electronic resource]. – Mode of access: https://www.eea.europa.eu/publications/european-union-emissions-inventory-report-1990-2021/download. – Date of access: 18.05.2023.European Environment Agency European Union emission inventory report 1990–2021 under the UNECE Convention on Long-range Transboundary Air Pollution (LRTAP). EEA Tech. Rep. 2023. Available at: https://www.eea.europa.eu/publications/european-union-emissions-inventory-report-1990-2021/download (accessed 18 May 2023).Belarusian emission inventory data informative inventory report to CLRTAP/EMEP 2020 [Electronic resource]. – Mode of access: https://webdab01.umweltbundesamt.at/download/submissions 2020/BY_IIR2020.zip?cgiproxy_skip=1. – Date of access: 14.01.2023.Belarusian emission inventory data informative inventory report to CLRTAP/EMEP 2020. Available at: https://web-dab01.umweltbundesamt.at/download/submissions2020/BY_IIR2020.zip?cgiproxy_skip=1 (accessed 14 January 2023).Validation of the COPERT road emission inventory model with real-use data / M. Kousoulidou [et al.] // Emissions Inventories-Informing Emerging Issues. – 2010. – P. 40.Kousoulidou M. [et al.]. Validation of the COPERT road emission inventory model with real-use data. Emissions Inventories-Informing Emerging Issues, 2010, p. 40.Какарека, С. В. Оценка выбросов загрязняющих веществ от дорожных передвижных источников с использованием модели COPERT IV / С. В. Какарека, О. Ю. Круковская // Охрана атмосферного воздуха. Атмосфера : сб. науч. тр. ; под. ред. А. Ю. Недре. – СПб., 2013. – C. 35–41.Kakareka S. V., Krukovskaya O. Yu. Otsenka vybrosov zagryaznyayushchikh veshchestv ot dorozhnykh peredvizhnykh istochnikov s ispol'zovaniyem modeli COPERT IV [Estimation of pollutant emissions from road mobile sources using the COPERT IV model]. Sbornik nauch. trudov "Okhrana atmosfernogo vozdukha. Atmosfera" [Proc. of sci. works "Atmospheric air protection"]. Atmosphere, 2013, pp. 35–41. (in Russian)РУП «БЕЛДОРЦЕНТР» – Республиканское унитарное предприятие «Белорусский дорожный инженерно технический центр» [Электронный ресурс]. – Режим доступа: https://beldor.centr.by/. – Дата доступа: 12.01.2021.RUP "BELDORTSENTR" – Respublikanskoye unitarnoye predpriyatiye "Belorusskiy dorozhnyy inzhenerno tekhnicheskiy tsentr [RUE "BELDORTSENTR – Republican Unitary Enterprise "Belarusian Road Engineering and Technical Center"] [Electronic resource]. Available at: https://beldor.centr.by/ (accessed 12 January 2021). (in Russian)OpenStreetMap [Electronic resource]. – Mode of access: https://www.openstreetmap.org/#map=10. – Date of access: 12.04.2023.OpenStreetMap (2023). Available at: https://www.openstreetmap.org/#map=10 (accessed 12 April 2023).Climate Data Online: Web Services Documentation / National Center Environmental Information [Electronic resource]. – Mode of access: https://www.ncei.noaa.gov/cdo-web/. – Date of access: 15.04.2023.Climate Data Online: Web Services Documentation. National Center Environmental Information (2023). Available at: https://www.ncei.noaa.gov/cdo-web/ (accessed 15 April 2023).Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover / Z. S. Venter [et al.] // Remote Sensing. – 2022. – № 14. – P. 4101. doi:10.3390/rs14164101Venter Z. S. [et al.]. Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover. Remote Sensing, 2022, no. 14, pp. 4101. doi:10.3390/rs14164101.A GIS based anthropogenic PM10 emission inventory for Greece / K. Markakis [et al.] // Atmospheric Pollution Research. – 2010. – № 1. – P. 71–81. doi:10.5094/APR.2010.010Markakis K., Poupkou A., Melas D., Zerefos C. A GIS based anthropogenic PM10 emission inventory for Greece. Atmospheric Pollution Research, 2010, no. 1, pp. 71–81. doi:10.5094/APR.2010.010.High-resolution seasonal and decadal inventory of anthropogenic gas-phase and particle emissions for Argentina / S. E. Puliafito [et al.] // Earth System Science Data. – 2021. – № 13. – P. 5027–69. doi:10.5194/essd-13-5027-2021Puliafito S. E. [et al.]. High-resolution seasonal and decadal inventory of anthropogenic gas-phase and particle emissions for Argentina. Earth System Science Data, 2021, no. 13, pp. 5027–69. doi:10.5194/essd-13-5027-2021.

The authors declare that there are no conflicts of interest present.