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Temporal and spatial distribution of tropospheric glyoxal in China before and after the COVID-19 and its influencing factors
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Glyoxal (CHOCHO) is a short-lived oxidative volatile organic compound (OVOC) in the atmosphere, which is an intermediate product of the oxidation of most VOCs in the atmosphere. Glyoxal is a weak trace gas, but it has a significant impact on air quality. Glyoxal is a short-term chemical indicator of non methane volatile organic compound (NMVOC) emissions from biological activities, biomass burning, and human activities, and it contributes significantly to the formation of secondary organic aerosols. This study used data from 2019 to 2021 from the TROPOMI CHOCHO Level 2 product published by Sentinel-5p+Innovation, and increased the spatial resolution to the order of 0.05 º using oversampling algorithm to discuss the spatial-temporal distribution changes of glyoxal caused by the changes in human activities on a national scale caused by the COVID-19, and reveal the influencing factors and potential contributions of the increase in glyoxal emissions in China. Currently, there is relatively little research among domestic scholars on using satellite remote sensing to monitor atmospheric glyoxal. It is hoped that through this study, we can understand the spatiotemporal variation characteristics of glyoxal in China and improve scientific decision-making.
Title: Temporal and spatial distribution of tropospheric glyoxal in China before and after the COVID-19 and its influencing factors
Description:
Glyoxal (CHOCHO) is a short-lived oxidative volatile organic compound (OVOC) in the atmosphere, which is an intermediate product of the oxidation of most VOCs in the atmosphere.
Glyoxal is a weak trace gas, but it has a significant impact on air quality.
Glyoxal is a short-term chemical indicator of non methane volatile organic compound (NMVOC) emissions from biological activities, biomass burning, and human activities, and it contributes significantly to the formation of secondary organic aerosols.
This study used data from 2019 to 2021 from the TROPOMI CHOCHO Level 2 product published by Sentinel-5p+Innovation, and increased the spatial resolution to the order of 0.
05 º using oversampling algorithm to discuss the spatial-temporal distribution changes of glyoxal caused by the changes in human activities on a national scale caused by the COVID-19, and reveal the influencing factors and potential contributions of the increase in glyoxal emissions in China.
Currently, there is relatively little research among domestic scholars on using satellite remote sensing to monitor atmospheric glyoxal.
It is hoped that through this study, we can understand the spatiotemporal variation characteristics of glyoxal in China and improve scientific decision-making.
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