Spatiotemporal variations in the ambient air quality index of Bilaspur district of central India

This study evaluates the seasonal variability of the Air Quality Index (AQI) across four ambient air quality monitoring sites in the Bilaspur district of Chhattisgarh, India, Bilaspur City (AS1), Masturi (AS2), Takhatpur (AS3), and Sipat (AS4), during the premonsoon, monsoon, and postmonsoon seasons of 2021. Eight major air pollutants (PM10, PM2.5, NOₓ, SO2, CO, O3, NH3, and Pb) were analyzed to assess spatiotemporal patterns in regional air quality. The results identified PM10 and PM2.5 as the dominant contributors to AQI deterioration, particularly during the premonsoon and postmonsoon periods, with AQI values ranging from 86.0 to 240.7, classifying most locations under moderate to poor air quality. In contrast, monsoon rainfall significantly lowered particulate concentrations, resulting in predominantly satisfactory AQI levels. One-way ANOVA followed by Tukey’s HSD test showed no detectable seasonal differences among the sites (p > 0.05; F = 0.47 to 0.62), indicating uniform pollutant dispersion across the study area. The analysis was confined to 2021 due to the availability of complete, quality-assured datasets representing a stable post-lockdown baseline, ensuring consistency and minimizing data gaps. The annual AQI for 2021 reflects moderate pollution levels, underscoring the need for sustained monitoring and targeted emission control strategies in rapidly urbanizing regions of central India. Spatiotemporal AQI assessment conducted across four monitoring sites in 2021. PM10 and PM2.5 were the dominant contributors to AQI deterioration. Pre- and post-monsoon seasons showed elevated particulate pollution. Monsoon rainfall significantly improved air quality through wet scavenging. No statistically significant inter-site AQI variation was observed (p > 0.05).

Authors

Institutions

Publication Details

Journal
Discover Atmosphere
Published
2026-04-28
DOI
https://doi.org/10.1007/s44292-026-00079-5
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal variations in the ambient air quality index of Bilaspur district of central India

Neeta Mishra, Milan Hait, Tomeshwar Prasad
Discover Atmosphere
Atmospheric chemistry and aerosols
article

Spatiotemporal variations in the ambient air quality index of Bilaspur district of central India

Neeta Mishra, Milan Hait, Tomeshwar Prasad
article en

Abstract

This study evaluates the seasonal variability of the Air Quality Index (AQI) across four ambient air quality monitoring sites in the Bilaspur district of Chhattisgarh, India, Bilaspur City (AS1), Masturi (AS2), Takhatpur (AS3), and Sipat (AS4), during the premonsoon, monsoon, and postmonsoon seasons of 2021. Eight major air pollutants (PM10, PM2.5, NOₓ, SO2, CO, O3, NH3, and Pb) were analyzed to assess spatiotemporal patterns in regional air quality. The results identified PM10 and PM2.5 as the dominant contributors to AQI deterioration, particularly during the premonsoon and postmonsoon periods, with AQI values ranging from 86.0 to 240.7, classifying most locations under moderate to poor air quality. In contrast, monsoon rainfall significantly lowered particulate concentrations, resulting in predominantly satisfactory AQI levels. One-way ANOVA followed by Tukey’s HSD test showed no detectable seasonal differences among the sites (p > 0.05; F = 0.47 to 0.62), indicating uniform pollutant dispersion across the study area. The analysis was confined to 2021 due to the availability of complete, quality-assured datasets representing a stable post-lockdown baseline, ensuring consistency and minimizing data gaps. The annual AQI for 2021 reflects moderate pollution levels, underscoring the need for sustained monitoring and targeted emission control strategies in rapidly urbanizing regions of central India. Spatiotemporal AQI assessment conducted across four monitoring sites in 2021. PM10 and PM2.5 were the dominant contributors to AQI deterioration. Pre- and post-monsoon seasons showed elevated particulate pollution. Monsoon rainfall significantly improved air quality through wet scavenging. No statistically significant inter-site AQI variation was observed (p > 0.05).

Discover AtmosphereVol. 4(1)
Dr. C. V. Raman University (IN)
Sustainable cities and communities
Openalex Percentile: Top 8%
Atmospheric chemistry and aerosols
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.