Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis
View abstract on PubMed
Summary
This summary is machine-generated.Satellite data reveals India
Area Of Science
- Environmental Science
- Remote Sensing
- Atmospheric Chemistry
Background
- Limited ground-based air quality monitoring stations in India create data gaps.
- Satellite data offers a viable solution for comprehensive environmental monitoring.
- Understanding air pollutant distribution is crucial for public health and environmental protection.
Purpose Of The Study
- To investigate the spatial and temporal variations of key air pollutants (SO2, NO2, CO, O3) across India.
- To analyze air quality trends from 2019-2022, including pre-COVID, during COVID-19 lockdown, and current periods.
- To identify pollution hotspots and their correlation with urban and industrial activities.
Main Methods
- Utilized Sentinel-5P TROPOMI satellite imagery for comprehensive air quality analysis.
- Conducted spatiotemporal analysis nationwide, with a focus on five major metropolitan cities.
- Performed seasonal, monthly, and yearly assessments of pollutant concentrations and identified pollution hotspots.
Main Results
- Winter season showed the highest pollutant concentrations (except ozone, which peaked in summer).
- Nitrogen dioxide (NO2) hotspots were concentrated in megacities, while sulfur dioxide (SO2) hotspots were linked to industrial areas.
- Delhi experienced a 20% rise in NO2, and Kolkata saw an 11% rise in SO2 from 2019-2022; COVID-19 lockdowns significantly reduced NO2 levels.
Conclusions
- Satellite data provides critical insights into air pollution dynamics and hotspot identification in India.
- The study highlights the significant impact of human activities and lockdowns on air quality.
- Findings support evidence-based policymaking for effective air pollution mitigation and public health safeguarding.

