Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 1, pp. 277-284
Study of the dynamics of aerosol pollution cap in Saint Petersburg during the transfer from different cardinal directions in the period from 2014 to 2021
D.A. Samulenkov
1 , M.V. Sapunov
1 1 Saint Petersburg State University, Saint Petersburg, Russia
Accepted: 10.03.2022
DOI: 10.21046/2070-7401-2022-19-1-277-284
The article presents the results of long-term observations from 2014 to 2021, carried out using the stationary lidar complex (SLC) of the RC «Observatory of Environmental Safety» of the Saint Petersburg State University Science Park. Measurements were carried out on Line 10 of Vasilyevsky Island, 33/35, the location of the SLC with geographic coordinates: 59.943 N, 30.273 E. The favorable location of the SLC allows continuous monitoring measurements in the most anthropogenically loaded part of the city. Meteorological parameters were monitored using a Doppler lidar, which allows measuring wind speed and direction at altitudes up to two kilometers. Modeling the obtained optical data (backscattering and extinction coefficients) of the lidar signal made it possible to calculate the microphysical parameters of the aerosol, namely, the numerical concentration of aerosol particles over Saint Petersburg when the wind moves from different directions. The calculation results showed that the maximum atmospheric transport of aerosol particles was noted during the southeastern wind, the average content of aerosol particles was 3857 1/cm3 in the layer from 300 to 500 m and 2886 1/cm3 in the layer from 500 to 700 m. At the northeast wind direction, the cleanest atmosphere is observed: the aerosol content averages 2007 1/cm3 at altitudes from 300 to 500 m, and 1684 1/cm3 in the 500–700 m layer. The predominance of aerosol particles transfer from the southeast direction is most likely associated with a large number of industrial zones located in the southeast of Sait Petersburg and the Leningrad Region, and intense auto traffic.
Keywords: lidar, atmospheric pollution, aerosol, wind, atmospheric transport
Full textReferences:
- Veselovskii I. A., Distantsionnaya lazernaya diagnostika aerozol’nykh i gazovykh sostavlyayushchikh atmosfery metodami romanovskogo i uprugogo rasseyaniya: Diss. dokt. fiz.-mat. nauk (Remote laser diagnostics of aerosol and gas constituents of the atmosphere by Roman and elastic scattering methods, Dr. phys. math. sci. thesis), Moscow, 2005, 391 p. (in Russian).
- Volkov N. N., Mnogovolnovaya lidarnaya sistema dlya opredeleniya fizicheskikh parametrov troposfernogo aerozolya: metodika rascheta parametrov i analiza dannykh: Diss. kand. tekhn. nauk (Multi-wave lidar system for obtaining physical parameters of tropospheric aerosols: approach for parameters calculation and data analysis, Cand. techn. sci. thesis, Moscow: MIIGAiK, 2013, 135 p. (in Russian).
- Kolgotin A. V., Metodika resheniya zadach mnogovolnovogo lidarnogo zondirovaniya v primenenii k global’nomu monitoringu parametrov atmosfernykh aerozolei: Diss. dokt. fiz.-mat. nauk (A technique for solving the problems of multi-wavelength sensing leadership as applied to global monitoring of atmospheric aerosol parameters: dissertation, Dr. phys. math. sci. thesis), Saint Petersburg, 2014, 211 p. (in Russian).
- Kryukova S. V., Simakina T. E., Temperature Inversions Analysis in Saint Petersburg, Uchenye zapiski Rossiiskogo Gosudarstevennogo gydrometeorologicheskogo universiteta, 2015, No. 40, pp. 150–159 (in Russian).
- Samulenkov D. A., Melnikova I. N., Donchenko V. K., Sapunov M. V., Studying Pollution of the Atmosphere with Lidar Monitoring, Uchenye zapiski Rossiiskogo Gosudarstevennogo gydrometeorologicheskogo universiteta, 2017, No. 48, pp. 266–280 (in Russian).
- Althausen D., Müller D., Ansmann A., Wandinger U., Hube H., Clauder E., Zoerner S., Scanning 6-wavelength 11-channel aerosol lidar, J. Atmospheric and Oceanic Technology, 2000, No. 17, pp. 1469–1482, https://doi.org/10.1175/1520-0426(2000)017<1469:SWCAL>2.0.CO;2.
- Health effects of particulate matter, Policy implications for countries in Eastern Europe, Caucasus and central Asia, World Health Organization, 2013, 20 p.
- Klett J. D., Lidar inversion with variable backscatter/extinction ratios, Applied Optics, 1985, Vol. 24, pp. 1638–1643.
- Measures R. M., Laser Remote Sensing. Fundamentals and Applications, New York; Toronto; Singapore: John Wiley and Sons, 1985, 524 p.
- Schraufnagel D. E., The health effects of ultrafine particles, Experimental and Molecular Medicine, 2020, Vol. 52, pp. 311–317, https://doi.org/10.1038/s12276-020-0403-3.
- Silva R. A., Adelman Z., Fry M. M., West J. J., The impact of individual anthropogenic emissions sectors on the global burden of human mortality due to ambient air pollution, Environmental Health Perspectives, 2016, Vol. 124, pp. 1776–1784.
- Wei Y., Wang Y., Di Q., Choirat C., Wang Y., Koutrakis P., Zanobetti A., Dominici F., Schwartz J. D., Short term exposure to fine particulate matter and hospital admission risks and costs in the Medicare population: time stratified, case crossover study, British Medical J., 2019, Vol. 367, Issue 8442, DOI: 10.1136/bmj.l6258.
- Zaheer J., Jeon J., Lee Se.-B., Kim J. S., Effect of Particulate Matter on Human Health, Prevention, and Imaging Using PET or SPECT, Progress in Medical Physics, 2018, Vol. 29, No. 3, DOI: 10.14316/pmp.2018.29.3.81.