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Air Quality Monitoring and Spatial Distribution Mapping of Particulate Matter (PM1 and PM2.5) Using Inverse Distance Weighting (IDW) At Srinagar City, Kashmir

Authors

Nikhil Savio

Department of Earth and Environmental Sciences, Parul Institute of Applied Sciences, Parul University, Vadodara, 391760, Gujarat, India (IN)

Farooq Ahmad Lone

Division of Environmental Science, Faculty of Horticulture Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, 190025, J&K, India (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2025.1410000146

Subject Category: Air pollution, Air quality monitoring, Particulate matter

Volume/Issue: 14/10 | Page No: 1228-1238

Publication Timeline

Submitted: 2025-11-24

Published: 2025-11-24

Abstract

Abstract: About 27% of the air pollution in India is contributed by vehicles. The continuous increase in the vehicular number, the traffic congestion, and adulteration of fuels in vehicles and improper management of traffic is causing increased air pollution due to vehicular movement. The present study was carried out at 5 locations in Srinagar city with 4 locations being located in high traffic areas of the city and one location situated in the outskirts of the city where traffic movement was less during a period of 1 year from June 2019 to May 2020. PM1 and PM2.5 particulate matter was monitored at every fortnight on the said locations for a period of 1 year using Aerosol Mass Monitor AEROCET-831. The monitoring period coincided with the COVID-19 period too. The readings showed significant differences seasonally and also due to changes in traffic flow due to COVID 19 pandemic. The observed data for concentration of particulate matter was mapped using IDW mapping to see the changes in concentration of pollutants with the change in location.

Keywords

Particulate Matter, PM1, PM2.5, Inverse Distance Weightage, Air pollution, vehicular pollution, COVID19

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