UNVEILING URBAN AIR QUALITY: STATISTICAL INSIGHTS INTO POLLUTION TRENDS AND SOLUTIONS IN BANGLADESH
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Abstract
Air pollution is a severe danger to public health and urban growth in Bangladesh. This research studies the patterns and determinants of air quality differences in five key cities: Dhaka, Chattogram, Khulna, Rajshahi, and Sylhet. Utilizing AQI data in conjunction with meteorological and urbanization information, we analyzed the temporal and geographical change of air quality. Statistical techniques, such as seasonal decomposition of time series (STL), supported the discovery of long-term patterns, periodic seasonal variations, and abnormal fluctuations in air quality. A regression analysis demonstrated the influence of variables such as meteorological conditions, industrial activity, and vehicle emissions on AQI measurements. Statistical approaches, such as ANOVA, found considerable disparities, distinguishing Dhaka and Chattogram as the most polluted cities owing to high urbanization and large industrial activity. The results underscore the critical role of particulate matter (PM2.5 and PM10), especially in the drought season, in reducing air quality. This paper presents evidence-based ideas for minimizing air pollution, including more strict emission limits and enhanced urban design, to promote healthier cities and support sustainable development.
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Publication Details
- Type of Publication: Conference
- Conference Name: 2nd International Conference on Recent Advances in Chemistry (ICRAC-2024)
- Date of Conference: 31/01/2025 - 01/02/2025
- Venue: Jagannath University
- Organizer: Jagannath University