Spatio-temporal variability and possible source identification of criteria pollutants from Ahmedabad-a megacity of Western India

Bano, Shahana and Anand, Vrinda and Kalbande, Ritesh and Beig, Gufran and Rathore, Devendra Singh (2023) Spatio-temporal variability and possible source identification of criteria pollutants from Ahmedabad-a megacity of Western India. Journal of Atmospheric Chemistry, 81.

Full text not available from this repository.
ContributionNameEmail
Abstract: This study addresses the spatio-temporal variability and plausible sources of criteria air pollutants in the Western Indian city-Ahmedabad. The air pollutants PM10, PM2.5, O3, NO2, SO2, and CO have been analyzed at ten locations in Ahmedabad from 2017 to 2019. The seasonal variability indicates that the air pollutant concentration is highest during winter, followed by pre-monsoon, post-monsoon, and monsoon seasons. The concentration of PM2.5 (59.52 ± 16.68–89.72 ± 20.68) and PM10 (107.25 ± 30.43–176.04 ± 38.34) crosses the National Ambient Air Quality Standards (NAAQS) in all seasons. However, the seasonal difference from winter to pre-monsoon is not highly significant (p > 0.05), indicating that the pollution remains fairly similar during these two seasons. The spatial variability of air pollutants over Ahmedabad indicates that the concentration is highest in the south and central region of Ahmedabad and lowest at the east location. The Ventilation Coefficient (VC) has been used to understand the dispersion of air pollutants. The K-means clustering was performed to assess the locations within Ahmedabad with similar air pollutants sources followed by source identification using Principal Component Analysis-Multiple Linear Regression method (PCA-MLR) of 5 clusters. The different locations identified were industrial, residential, and traffic which mainly contribute to the air pollutants in Ahmedabad city. The health risk assessment indicates PMs are the leading pollutant and causing excess risk (ER > 1) at all the locations. With the help of the different statistical techniques, it helps in ascertaining the hotspots of air pollution in a region which will be beneficial in studying health exposure and for policymakers to adopt mitigation strategies.
Item Type: Journal Paper
Subjects: School of Natural and Engineering Sciences > Energy and Environment
Divisions: Schools > Natural Sciences and Engineering
Date Deposited: 08 Jan 2024 10:37
Last Modified: 08 Jan 2024 10:38
Official URL: https://link.springer.com/article/10.1007/s10874-0...
Related URLs:
    Funders: *
    Projects: *
    DOI: https://doi.org/10.1007/s10874-023-09456-5
    URI: http://eprints.nias.res.in/id/eprint/2644

    Actions (login required)

    View Item View Item