Assessment of variation in air quality over Delhi and neighbouring cities of Noida and Greater Noida

The main objective of this study is to recognize the limitations of available data, its usefulness to regulate pollution sources across National Capital Region (NCR) and create winter profiles of every region. Within a network of each air quality monitoring station in Delhi-NCR winters [2019 Decembe...

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Bibliographic Details
Published in:Journal of Earth System Science 2022-09, Vol.131 (3), p.155, Article 155
Main Authors: Sharma, Deepak, Soni, V K, Pradhan, Subhalaxmi
Format: Article
Language:English
Subjects:
Air
Air monitoring
Air pollution
Air quality
Ammonia
Biomass
Bivariate analysis
Contaminants
COVID-19
Earth and Environmental Science
Earth Sciences
Emissions
Environmental monitoring
Humidity
Industrial plant emissions
Meteorological conditions
Nitrogen compounds
Outdoor air quality
Oxidation
Oxides
Particulate matter
Particulate matter sources
Pollutants
Pollution control
Pollution sources
Power plants
Seasons
Space Exploration and Astronautics
Space Sciences (including Extraterrestrial Physics
Sulfur dioxide
Ventilation
VOCs
Volatile organic compounds
Wind
Winter
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Summary:The main objective of this study is to recognize the limitations of available data, its usefulness to regulate pollution sources across National Capital Region (NCR) and create winter profiles of every region. Within a network of each air quality monitoring station in Delhi-NCR winters [2019 December–2020 January (Pre-Covid), and 2020 December–2021 January (Post-Covid)], daily-averaged PM 10 and PM 2.5 , NO x , O 3 , SO 2 , CO and NH 3 levels were found to be very consistent across Delhi and the NCR. The bivariate polar plots revealed that local sources dominate PM 10 and PM 2.5 concentrations across all monitoring locations in Delhi-NCR. The importance of the local source's superiority aids in the measurement of concentrations. We examined the various pollutants found during the winter season across Delhi-NCR for 2019–2020–2021. Plotting bivariate polar plots can reveal the relationship between air contaminants and meteorological conditions. This technique identified the concentration level and also helps in prediction. The preliminary results also suggested that the air pollutants considerably reduced in post-covid period as compared to the pre-covid period due to the restriction of traffic and commercial activities.
ISSN:0973-774X
0253-4126
0973-774X
DOI:10.1007/s12040-022-01902-4