Aerosol Pollution over St. Petersburg in Different Seasons Based on the Results of Lidar Measurements from 2014 to 2022

Samulenkov, D.A.; Sapunov, M.V.

doi:10.18412/1816-0395-2023-9-61-65

Cited by 2 publications

(1 citation statement)

References 37 publications

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“…[17] shows that the combined use of ceilometers, sunphotometers, and MS images effectively identifies events of burning of dust and biomass. Moreover, lidar technology alone is capable of differentiating various types of aerosols in an urban environment [18]. Despite these advances, challenges remain [19], particularly in urban settings where high spatial resolution is essential for street-level detection.…”

Section: Introductionmentioning

confidence: 99%

Characterizing Dust and Biomass Burning Events from Sentinel-2 Imagery

Lolli,

Alparone,

Arienzo

et al. 2024

Atmosphere

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The detection and evaluation of biomass burning and dust events are critical for understanding their impact on air quality, climate, and human health, particularly in the Mediterranean region. This research pioneers an innovative methodology that uses Sentinel-2 multispectral (MS) imagery to meticulously pinpoint and analyze long-transport dust outbreaks and biomass burning phenomena, originating both locally and transported from remote areas. We developed the dust/biomass burning (DBB) composite normalized differential index, a tool that identifies clear, dusty, and biomass burning scenarios in the selected region. The DBB index jointly employs specific Sentinel-2 bands: B2-B3-B4 for visible light analysis, and B11 and B12 for short-wave infrared (SWIR), exploiting the specificity of each wavelength to assess the presence of different aerosols. A key feature of the DBB index is its normalization by the surface reflectance of the scene, which ensures independence from the underlying texture, such as streets and buildings, for urban areas. The differentiation involves the comparison of the top-of-atmosphere (TOA) reflectance values from aerosol events with those from clear-sky reference images, thereby constituting a sort of calibration. The index is tailored for urban settings, where Sentinel-2 imagery provides a decametric spatial resolution and revisit time of 5 days. The average values of DBB achieve a 96% match with the coarse-mode aerosol optical depths (AOD), measured by a local station of the AERONET network of sun-photometers. In future studies, the map of DBB could be integrated with that achieved from Sentinel-3 images, which offer similar spectral bands, albeit with much less fine spatial resolution, yet benefit from daily coverage.

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Section: Introductionmentioning

confidence: 99%

Characterizing Dust and Biomass Burning Events from Sentinel-2 Imagery

Lolli,

Alparone,

Arienzo

et al. 2024

Atmosphere

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Vertical Variability of Aerosol Pollution in St. Petersburg According to Long-term Lidar Observations

Samulenkov,

Sapunov

2024

Èkol. prom. Ross.

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Processing of data obtained using lidar technologies was carried out to identify the vertical variability of the distribution of aerosols in the atmospheric column by month. The results of 227 lidar measurements from 2014 to 2023 were processed in total. It has been established that the concentration and height of compacted aerosol layers begin to increase in spring time, reaches a maximum in July, and from October there is a visible decline in aerosol concentrations in the atmospheric air. It has been established that in the warm season the height of compacted aerosol layers reaches 1200–1800 m, while in the cold season it reaches only heights of 600–1100 m. It was concluded that fine aerosol predominates over the city, based on the calculated Angstrom parameter in the range from 1.95 to 2.91.

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Aerosol Pollution over St. Petersburg in Different Seasons Based on the Results of Lidar Measurements from 2014 to 2022

Cited by 2 publications

References 37 publications

Characterizing Dust and Biomass Burning Events from Sentinel-2 Imagery

Characterizing Dust and Biomass Burning Events from Sentinel-2 Imagery

Vertical Variability of Aerosol Pollution in St. Petersburg According to Long-term Lidar Observations

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