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<p>This study leverages satellite observation to reveal the impact of lockdown on the behaviour of tropospheric ozone (vertically and horizontally) and its tropospheric precursors, nitrogen dioxide (NO<sub>2</sub>) and formaldehyde (HCHO), along with meteorology. Overcoming the present restricted in-situ monitoring networks, both TROPOMI-NO<sub>2</sub> and TROPOMI-HCHO data having high resolution (0.01°× 0.01°) from the Sentinel-5P satellite and Tropospheric Aqua/AIRS-ozone data (1°× 1°) from the Atmospheric Infrared Sounder are incorporated for its quick assessment, using Google Earth Engine and Giovanni platform. Jharkhand state, India, which has diverse terrain (dense forest and undulating hills to the largest mineral-wealth-producer), is targeted for the present research covering three conflicting periods (2019-2020-2021). The spatially averaged annual mean of the pollutants above was found to be lower in 2020 in contrast to 2019 and 2020. This may be attributed to the positive influence of lockdown and its meteorological role. The polynomial model of order six performed superbly (R<sup>2</sup> = 0.78–0.96) for its monthly dataset. Statistically significant (p-value &lt; 0.05), strong negative correlation existed for relative humidity with both Aqua/AIRS- ozone (R = ~ 0.97) and TROPOMI-HCHO (R = ~ 0.89) are reported. Positively skewed, bell-shaped, and negatively skewed for TROPOMI-NO<sub>2</sub>, TROPOMI -HCHO &amp; Aqua/ AIRS- ozone, respectively, over land classes based on interpretation Environmental Systems Research Institute, Inc. (ESRI) 10-meter land cover map. The research findings can be generalised for new conditions for determining tropospheric ozone levels and their precursors without ground data for better mitigation strategies.</p>

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Heterogeneity of Tropospheric Ozone-NO2-HCHO and the Meteorological Influence Over Mega-Mining Region (Jharkhand), India, Under Three COVID-19 Impelled Contrasting time Zones

  • 期刊论文

  • 发表日期：

    2025年6月23日

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  • Shalini Priya,
  • Jawed Iqbal

摘要

This study leverages satellite observation to reveal the impact of lockdown on the behaviour of tropospheric ozone (vertically and horizontally) and its tropospheric precursors, nitrogen dioxide (NO2) and formaldehyde (HCHO), along with meteorology. Overcoming the present restricted in-situ monitoring networks, both TROPOMI-NO2 and TROPOMI-HCHO data having high resolution (0.01°× 0.01°) from the Sentinel-5P satellite and Tropospheric Aqua/AIRS-ozone data (1°× 1°) from the Atmospheric Infrared Sounder are incorporated for its quick assessment, using Google Earth Engine and Giovanni platform. Jharkhand state, India, which has diverse terrain (dense forest and undulating hills to the largest mineral-wealth-producer), is targeted for the present research covering three conflicting periods (2019-2020-2021). The spatially averaged annual mean of the pollutants above was found to be lower in 2020 in contrast to 2019 and 2020. This may be attributed to the positive influence of lockdown and its meteorological role. The polynomial model of order six performed superbly (R2 = 0.78–0.96) for its monthly dataset. Statistically significant (p-value < 0.05), strong negative correlation existed for relative humidity with both Aqua/AIRS- ozone (R = ~ 0.97) and TROPOMI-HCHO (R = ~ 0.89) are reported. Positively skewed, bell-shaped, and negatively skewed for TROPOMI-NO2, TROPOMI -HCHO & Aqua/ AIRS- ozone, respectively, over land classes based on interpretation Environmental Systems Research Institute, Inc. (ESRI) 10-meter land cover map. The research findings can be generalised for new conditions for determining tropospheric ozone levels and their precursors without ground data for better mitigation strategies.