Investigating patterns of air pollution in metropolises using remote sensing and neural networks during the COVID-19 pandemic

Shaygan, Mehran; Mokarram, Marzieh

doi:10.1016/j.asr.2023.06.027

Cited by 3 publications

(1 citation statement)

References 59 publications

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“…With Google Earth Engine (GEE) algorithmic and simplified analytical development, SO2 emission datasets have been extracted from 0.34 and 0.380 bands of Sentinel-5P (Mejía C. et al, 2023). Sentinel 5P SO2 characteristics has been available since 2018 by the European Space Agency (ESA), continuously monitoring air contaminants (Shaygan & Mokarram, 2023). Sentinel5P products have two variations on temporal resolution in near real-time (NRT) and offline versions, where the NRT dataset has larger spatial resolution coverage and less revisit time resolution (Han et al, 2022).…”

Section: Methodsmentioning

confidence: 99%

Measuring The Spatio-Temporal Distribution of Sulfur Dioxide (SO2) with Copernicus Sentinel-5P Near Real Time in Medan City

Yanti,

Tampubolon,

Liu

et al. 2024

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This study aims to monitor the impact of sulfur dioxide (SO2), a significant contributor to atmospheric corrosion and associated with air pollution, in urban and industrial areas through empirical models of spatial distribution and temporal estimation in Medan. Datasets of Sentinel 5P NRTI are worth using to monitor the formation of sulfate aerosols or SO2 emissions from natural sources and anthropogenic origin in near real-time from 2019 until 2023 on the local scale, Medan. The source dataset covers 1,11 km of spatial image resolution on orbital in daily revisit time with a spectral bound between the ultraviolet and the shortwave infrared. The measurement of atmospheric SO2 concentrations is generated by enumerating the SO2 vertical column density technique at the soil surface with the cloud-based platform The Earth Engine (EE) Code Editor to handle large data sizes and produce interactive mapping. Based on the availability of auxiliary results, the number of spreading SO2 concentrations fell from 0,92 mmol/m2 in 2019 to 0,41 mmol/m2 in 2023, a reduction of 49.98 percent. The average of SO2 concentrations has decreased substantially over the years. Consequently, these pollutants have recorded long-term health and meteorological parameters impact that substances can rise or reduce acid rain.Keywords: Air pollution, Meteorological parameters, Sentinel 5P NRTI, SO2

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Section: Methodsmentioning

confidence: 99%

Measuring The Spatio-Temporal Distribution of Sulfur Dioxide (SO2) with Copernicus Sentinel-5P Near Real Time in Medan City

Yanti,

Tampubolon,

Liu

et al. 2024

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Predicting land use dynamics, surface temperature and urban thermal field variance index in mild cold climate urban area of Pakistan

Khan,

Qasim,

Ahmad

et al. 2024

Heliyon

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Air Quality in the Cartagena Basin in South-Western Europe and the Impact of the COVID-19 Pandemic

Moreno-Cegarra,

Pérez,

García

2024

Atmosphere

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The port of Cartagena, south-east Spain, is noted for its intense activity. This paper presents the influence of the COVID-19 pandemic on the recorded levels of six pollutants. Fifteen years of measurements were used, with two objectives. The first was to investigate how these pollutants evolved, together with their usual cycles. The second objective was to ascertain whether the COVID-19 pandemic had an impact on the concentrations recorded. The results showed that nitrogen oxide concentrations remained steady in the first half of the measurement period and decreased in the second half. SO2 concentrations decreased irregularly, whereas O3 and PM10 presented steady concentrations. The annual cycle was observed for nitrogen oxides and O3. Only SO2 evidenced no weekly cycle. Finally, the analysis of pre- and post-pandemic concentrations revealed a sharp decrease in nitrogen oxides, whereas the pandemic was not seen to have had any impact on the other pollutants. In addition, NO2 emerged as the best indicator of human activity––represented by car and maritime traffic––due to its response to the relaxation measures. Finally, Lamb weather types were calculated. The unclassified type was the most frequent. However, the greatest concentration changes were observed for anticyclonic and eastern flow types.

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Investigating patterns of air pollution in metropolises using remote sensing and neural networks during the COVID-19 pandemic

Cited by 3 publications

References 59 publications

Measuring The Spatio-Temporal Distribution of Sulfur Dioxide (SO2) with Copernicus Sentinel-5P Near Real Time in Medan City

Measuring The Spatio-Temporal Distribution of Sulfur Dioxide (SO2) with Copernicus Sentinel-5P Near Real Time in Medan City

Predicting land use dynamics, surface temperature and urban thermal field variance index in mild cold climate urban area of Pakistan

Air Quality in the Cartagena Basin in South-Western Europe and the Impact of the COVID-19 Pandemic

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