| Issue |
E3S Web Conf.
Volume 392, 2023
II International Conference on Agriculture, Earth Remote Sensing and Environment (RSE-II-2023)
|
|
|---|---|---|
| Article Number | 02022 | |
| Number of page(s) | 7 | |
| Section | Ecology, Environmental Protection and Conservation of Biological Diversity | |
| DOI | https://doi.org/10.1051/e3sconf/202339202022 | |
| Published online | 06 June 2023 | |
Influences of meteorological conditions in PM2.5 levels in Krasnoyarsk city atmosphere
1 Institute of Computational Modeling SB RAS, 50/44, Akademgorodok, Krasnoyarsk, 660036, Russia
2 Siberian Federal University, Krasnoyarsk, Russia
3 Federal Research Center Krasnoyarsk Science Center SB RAS, 50/44, Akademgorodok, Krasnoyarsk, Russia
* Corresponding author: osv@icm.krasn.ru
The relationship between meteorological conditions and the levels of PM2.5 in Krasnoyarsk city atmosphere for the period from 2019 to 2022 were investigated. The meteorological data of the National Centers for Environmental Prediction Global Forecast System (NCEP GFS) reanalysis model was used. PM2.5 data were obtained from the ground monitoring stations. Analysis of variances (one-way and two-way ANOVA) and the Tukey Test showed statistically significant differences for temperature inversions, months in the cold period (November-February), and calm wind. In the case of high daily PM2.5 surface and elevated inversions occurred at 69% cases and strong temperature inversions at 74%. In the reverse case, in the presence of surface and elevated temperature inversions, high daily PM2.5 occurred in 53% of cases, and the presence of strong temperature inversions in 44%.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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