Skip to main content
SpringerLink
Log in

Estimation of Spatial Distribution of Potential Sources of Carbonaceous Aerosol from Local Measurements near St. Petersburg

  • Published:
Izvestiya, Atmospheric and Oceanic Physics Aims and scope Submit manuscript

Abstract

The results of a back-trajectory analysis of 9-year (2013–2021) measurements of organic (OC) and elemental (EC) aerosol carbon concentrations made at the atmospheric monitoring station near St. Petersburg (Peterhof, 59.88° N, 29.83° E) are presented. The spatial location of sources was estimated by the concentration weighted trajectory (CWT) method in the geographic area 16°–44° E × 48°–68° N. The data allow us to identify the territories with the strongest OC and EC emissions and estimate the seasonal variability of these emissions. In particular, the estimates show that the most intense sources of OC and elemental aerosol carbon in the studied region are located in the Volga-Oka interfluve and on the adjacent territories. It is demonstrated that linear regression coefficients between CWT function values for OC and EC differ for different regions and seasons and may indicate the prevailing type of sources of carbon-containing aerosol particles.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.

Similar content being viewed by others

REFERENCES

  1. Andreae, M.O. and Merlet, P., Emission of trace gases and aerosols from biomass burning, Global Biogeochem. Cycles, 2001, vol. 15, pp. 955–966.

    Article  Google Scholar 

  2. Andreae, M.O., Aerosols before pollution, Science, 2007, vol. 315, pp. 50–51.

    Article  Google Scholar 

  3. Andreae, M.O. and Rosenfeld, D., Aerosol–cloud–precipitation interactions. Part 1. The nature and sources of cloud-active aerosols, Earth-Sci. Rev., 2008, vol. 89, pp. 13–41.

    Article  Google Scholar 

  4. Birch, M.E., Analysis of carbonaceous aerosols: Interlaboratory comparison, Analyst, 1998, vol. 123, no. 5, pp. 851–857.

    Article  Google Scholar 

  5. Birch, M.E. and Cary, R.A., Elemental carbon-based method for monitoring occupational exposures to particulate diesel exhaust, Aerosol Sci. Technol., 1996, vol. 25, no. 3, pp. 221–241.

    Article  Google Scholar 

  6. Bond, T.C., Streets, D.G., Yaber, K.F., Nelson, S.M., Woo, J., and Klimont, Z., A technology-based global inventory of black and organic carbon emissions from combustion, J. Geophys. Res., 2004, vol. 109, p. D14203. https://doi.org/10.1029/2003JD003697

    Article  Google Scholar 

  7. Byčenkienė, S., Dudoitis, V., and Ulevicius, V., The use of trajectory cluster analysis to evaluate the long-range transport of black carbon aerosol in the south-eastern Baltic region, Adv. Meteorol., 2014, p. 137694. https://doi.org/10.1155/2014/137694

  8. Cao, J.J., Zhu, C.S., Tie, X.X., Geng, F.H., Xu, H.M., Ho, S.S., Wang, G.H., Han, Y.M., and Ho, K.F., Characteristics and sources of carbonaceous aerosols from Shanghai, China, Atmos. Chem. Phys., 2013, vol. 13, no. 2, pp. 803–817.

    Article  Google Scholar 

  9. Carslaw, K.S., Lee, L.A., Reddington, C.L., Pringle, K.J., Rap, A., Forster, P.M., Mann, G.W., Spracklen, D.V., Woodhouse, M.T., Regayre, L.A., and Pierce, J.R., Large contribution of natural aerosols to uncertainty in indirect forcing, Nature, 2013, vol. 503, no. 7, pp. 67–71.

    Article  Google Scholar 

  10. Cassol, H.L.G., Domingues, L.G., Sanchez, A.H., Basso, L.S., Marani, L., Tejada, G., Alden, C.B., Miller, J.B., Gloor, M., Anderson, L.O., Aragao, L.E., and Gatti, L.V., Determination of region of influence obtained by aircraft vertical profiles using the density of trajectories from the HYSPLIT model, Atmosphere, 2020, vol. 11, no. 10, p. 1073.

    Article  Google Scholar 

  11. Chi, X., Winderlich, J., Mayer, J.C., Panov, A.V., Heimann, M., Birmili, W., Heintzenberg, J., Cheng, Y., and Andreae, M.O., Long-term measurements of aerosol and carbon monoxide at the Zotto tall tower to characterize polluted and pristine air in the Siberian taiga, Atmos. Chem. Phys., 2013, vol. 13, pp. 12271–12298.

    Article  Google Scholar 

  12. Chung, S.H. and Seinfeld, J.H., Climate response of direct radiative forcing of anthropogenic black carbon, J. Geophys. Res., 2005, vol. 110, p. D11102. https://doi.org/10.1029/2004JD005441

    Article  Google Scholar 

  13. Draxler, R.R. and Hess, G.D., An overview of the HYSP-LIT_4 modeling system for trajectories, dispersion, and deposition, Aust. Meteorol. Mag., 1998, vol. 47, no. 4, pp. 295–308.

    Google Scholar 

  14. Dusek, U., Hitzenberger, R., Kasper-Giebl, A., Kistler, M., Meijer, H.A.J., Szidat, S., Wacker, L., Holzinger, R., and Röckmann, T., Sources and formation mechanisms of carbonaceous aerosol at a regional background site in the Netherlands: Insights from a year-long radiocarbon study, Atmos. Chem. Phys., 2017, vol. 17, pp. 3233–3251.

    Article  Google Scholar 

  15. Forster, P., Ramaswamy, V., Artaxo, P., Berntsen, T., Betts, R., Fahey, D.W., Haywood, J., Lean, J., Lowe, D.C., Myhre, G., Nganga, J., Prinn, R., Raga, G., Schulz, M., and Van Dorland, R., Changes in atmospheric constituents and in radiative forcing, in Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Solomon, S., Qin, D., Manning, M., , Eds., Cambridge: Cambridge Univ. Press, 2007, pp. 129–234.

    Google Scholar 

  16. Giemsa, E., Jacobeit, J., Ries, L., and Hachinger, S., Investigating regional source and sink patterns of alpine CO2 and CH4 concentrations based on a back trajectory receptor model, Environ. Sci. Eur., 2019, vol. 31. https://doi.org/10.1186/s12302-019-0233-x

  17. Grivas, G., Cheristandis, S., and Chaloulakou, A., Elemental and organic carbon in the urban environment of Athens: Seasonal and diurnal variations and estimates of secondary organic carbon, Sci. Total Environ., 2012, vol. 414, no. 1, pp. 535–545.

    Article  Google Scholar 

  18. Gulev, S.K., Thorne, P.W., Ahn, J., Dentener, F.J., Domingues, C.M., Gerland, S., Gong, D., Kaufman, D.S., Nnamchi, H.C., Quaas, J., Rivera, J.A., Sathyendranath, S., Smith, S.L., Trewin, B., Schuckmann, K., and Vose, R.S., Changing state of the climate system, in Climate Change 21: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Masson-Delmotte, V., Zhai, P., Pirani, A., et al., Eds., Cambridge: Cambridge University Press, 2021, pp. 287–422. https://doi.org/10.1017/9781009157896.004.

  19. Hao, T., Cai, Z., Chen, S., Han, S., Yao, Q., and Fan, W., Transport pathways and potential source regions of PM2.5 on the west coast of Bohai Bay during 2009–2018, Atmosphere, 2019, vol. 10, p. 345.

    Article  Google Scholar 

  20. Ho, K.F., Lee, S.C., Cao, J.J., Li, Y.S., Chow, J.C., Watson, J.G., and Fung, K., Variability of organic and elemental carbon, water soluble organic carbon, and isotopes in Hong Kong, Atmos. Chem. Phys., 2006, vol. 6, pp. 4569–4576.

    Article  Google Scholar 

  21. Hopke, P.K., Recent developments in receptor modeling, J. Chemom., 2003, vol. 17, pp. 255–265.

    Article  Google Scholar 

  22. Ito, A. and Penner, J.E., Historical emissions of carbonaceous aerosols from biomass and fossil fuel burning for the period 1870–2000, Global Biogeochem. Cycles, 2005, vol. 19, no. 2, p. GB2028. https://doi.org/10.1029/2004GB002374

    Article  Google Scholar 

  23. Kanakidou, M., Seinfeld, J.H., Pandis, S.N., Barnes, I., Dentener, F.J., Facchini, M.C., Van Dingenen, R., Ervens, B., Nenes, A., Nielsen, C.J., Swietlicki, E., Putaud, J.P., Balkanski, Y., Fuzzi, S., Horth, J., et al., Organic aerosol and global climate modelling: a review, Atmos. Chem. Phys., 2005, vol. 5, pp. 1053–1123.

    Article  Google Scholar 

  24. Kim, E. and Hopke, P.K., Improving source identification of fine particles in a rural northeastern U.S. area utilizing temperature-resolved carbon fractions, J. Geophys. Res., 2004, vol. 109, p. D09204. https://doi.org/10.1029/2003JD004199

    Article  Google Scholar 

  25. Kondo, Y., Komazaki, Y., Miyazaki, Y., Moteki, N., Takegawa, N., Kodama, D., Deguchi, S., Nogami, M., Fukuda, M., Miyakawa, T., Morino, Y., Koike, M., Sakurai, H., and Ehara, K., Temporal variations of elemental carbon in Tokyo, J. Geophys. Res., 2006, vol. 111, p. D12205. https://doi.org/10.1029/2005JD006257

    Article  Google Scholar 

  26. Levin, Z. and Cotton, W.R., Aerosol Pollution Impact on Precipitation. A Scientific Review, Dordrecht: Springer Science, 2009.

    Book  Google Scholar 

  27. Mikhailov, E.F., Mironova, S.Yu., Makarova, M.V., Vlasenko, S.S., Ryshkevich, T.I., Panov, A.V., and Andreae, M.O., Studying seasonal variations in carbonaceous aerosol particles in the atmosphere over central Siberia, Izv., Atmos. Ocean. Phys., 2015, vol. 51, no. 4, pp. 423–430.

    Article  Google Scholar 

  28. Mikhailov, E.F., Mironova, S., Mironov, G., Vlasenko, S., Panov, A., Chi, X., Walter, D., Carbone, S., Artaxo, P., Heimann, M., Lavric, J., Pöschl, U., and Andreae, M.O., Long-term measurements (2010–2014) of carbonaceous aerosol and carbon monoxide at the Zotino Tall Tower Observatory (ZOTTO) in central Siberia, Atmos. Chem. Phys., 2017, vol. 17, pp. 14365–14392.

    Article  Google Scholar 

  29. Pekney, N.J., Davidson, C.I., Zhou, L., and Hopke, P.K., Application of PSCF and CPF to PMF-modeled sources of PM2.5 in Pittsburgh, Aerosol Sci. Technol., 2006, vol. 40, pp. 952–961.

    Article  Google Scholar 

  30. Popova, S.A. and Makarov, V.I., Determination of secondary organic carbon concentrations in continental aerosols, Geo-Sibir’, 2009, vol. 4, no. 2, pp. 57–60.

    Google Scholar 

  31. Ruckstuhl, A.F., Jacobson, M.P., Field, R.W., and Dodd, J.A., Baseline subtraction using robust local regression estimation, J. Quant. Spectrosc. Radiat. Transfer, 2001, vol. 68, pp. 179–193.

    Article  Google Scholar 

  32. Ruckstuhl, A.F., Henne, S., Reimann, S., Steinbacher, M., Vollmer, M.K., O’Doherty, S., Buchmann, B., and Hueglin, C., Robust extraction of baseline signal of atmospheric trace species using local regression, Atmos. Meas. Tech., 2012, vol. 5, no. 11, pp. 2613–2624.

    Article  Google Scholar 

  33. Safatov, A.S., Buryak, G.A., Olkin, S.E., Reznikova, I.K., Makarov, V.I., and Popova, S.A., Analysis of monitoring data on organic/elemental carbon and total protein in ground air layer aerosol in the south of Western Siberia, Atmos. Oceanic Opt., 2014, vol. 27, no. 2, pp. 164–168.

    Article  Google Scholar 

  34. Singh, A., Rajput, P., Sharma, D., Sarin, M.M., and Singh, D., Black carbon and elemental carbon from postharvest agricultural-waste burning emissions in the Indo-Gangetic plain, Adv. Meteorol., 2014, vol. 2014, p. 179301.

    Article  Google Scholar 

  35. Stein, A.F., Draxler, R.R., Rolph, G.D., Stunder, B.J.B., Cohen, M.D., and Ngan, F., NOAA’s HYSPLIT atmospheric transport and dispersion modeling system, Bull. Am. Meteorol. Soc., 2015, vol. 96, pp. 2059–2077.

    Article  Google Scholar 

  36. Vlasenko, S.S., Volkova, K.A., Ionov, D.V., Ryshkevich, T.I., Ivanova, O.A., and Mikhailov, E.F., Variation of carboneceous atmospheric aerosol near St. Petersburg, Izv., Atmos. Ocean. Phys., 2019, vol. 55, no. 6, pp. 619–627.

    Article  Google Scholar 

  37. Volkova, K.A., Anikin, S.S., Mikhailov, E.F., Ionov, D.V., Vlasenko, S.S., and Ryshkevich, T.I., Seasonal and daily variability of aerosol particle concentrations near St. Petersburg, Atmos. Oceanic Opt., 2020, vol. 33, no. 5, pp. 524–530.

    Article  Google Scholar 

  38. Wang, Yu., Wang, X., Kondo, Y., Kajino, M., Munger, J.W., and Hao, J.M., Black carbon and its correlation with trace gases at a rural site in Beijing: Top-down constraints from ambient measurements on bottom-up emissions, J. Geophys. Res., 2011, vol. 116, p. D24304.

    Article  Google Scholar 

  39. Wang, Yu., Anan, Yu., Le Yang, L., and Fang, C., Research on organic carbon and elemental carbon distribution characteristics and their influence on fine particulate matter (PM2.5) in Changchun city, Environments, 2019, vol. 6, no. 2, pp. 2–9.

    Article  Google Scholar 

  40. Yan, R., Yu, S., Zhang, Q., Li, P., Wang, S., Chen, B., and Liu, W., A heavy haze episode in Beijing in February of 2014: Characteristics, origins and implications, Atmos. Pollut. Res., 2015, vol. 6, pp. 867–876.

    Article  Google Scholar 

  41. Zachary, M., Yin, L., and Zacharia, M., Application of PSCF and CWT to identify potential sources of aerosol optical depth in ICIPE Mbita, Open Access Lib. J., 2018, vol. 5, no. 4, pp. 1–12. https://doi.org/10.4236/oalib.1104487

  42. Zhang, F., Zhou, L.X., Novell, P.C., Worthy, D.E.J., Zellweger, C., Klausen, J., Ernst, M., Steinbacher, M., Cai, Y.X., Xu, L., Fang, S.X., and Yao, B., Evaluation of in situ measurements of atmospheric carbon monoxide at Mount Waliguan, China, Atmos. Chem. Phys., 2011, vol. 11, pp. 5195–5206.

    Article  Google Scholar 

  43. Zhou, L., Hopke, P.K., and Liu, W., Comparison of two trajectory based models for locating particle sources for two rural New York sites, Atmos. Environ., 2004, vol. 38, pp. 1955–1963.

    Article  Google Scholar 

Download references

Funding

This work was carried out using equipment of the St. Petersburg State University Geomodel resource center at the St. Petersburg State University scientific park and supported by the Russian Science Foundation, project 22-27-00258.

Author information

Authors and Affiliations

  1. St. Petersburg State University, 199034, St. Petersburg, Russia

    S. S. Vlasenko, O. A. Ivanova, T. I. Ryshkevich & E. F. Mikhailov

Authors
  1. S. S. Vlasenko
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. O. A. Ivanova
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. T. I. Ryshkevich
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. E. F. Mikhailov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. S. Vlasenko.

Ethics declarations

The authors of this work declare that they have no conflicts of interest.

Additional information

Publisher’s Note.

Pleiades Publishing remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vlasenko, S.S., Ivanova, O.A., Ryshkevich, T.I. et al. Estimation of Spatial Distribution of Potential Sources of Carbonaceous Aerosol from Local Measurements near St. Petersburg. Izv. Atmos. Ocean. Phys. 59, 685–694 (2023). https://doi.org/10.1134/S0001433823060129

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0001433823060129

Keywords:

Search

Navigation