Air Quality Monitoring of Bangladesh (AQM): Data Driven Analysis System

Noureen Islam, Noor-E-Sadman, Mahmudul Islam, Mahady Hasan

2022

Abstract

Air pollution is a major concern for countries around the world. According to World Health Organization (WHO), seven million people die worldwide every year caused by air pollution. Bangladesh has not only serious pollution problems but also it is ranked first among the world's most polluted countries with a PM2.5 reading of 76.9 microgrammes per cubic meter (μg/m³) in the year 2021 (AQI Bangladesh, 2021). In this paper, we propose to develop a data-driven software system for monitoring the air quality of Bangladesh. Our proposed system will provide atmospheric maps and charts for monitoring the current and future Air Quality Index (AQI) of any area. We conducted an experiment for 1-year time span to observe the concentration level and data patterns of PM2.5 in our country focusing on the transportation routes and industrial zones. The data is collected from the sensors and satellites of different stations covering multiple areas. The results are analyzed in the context of divisions, transportation stations, industrial zones, and time. For a variety of air quality indicators, the experimental results were compared to IQAir AirVisual Pro and showed good results, with very small differences between our obtained result and IQAir AirVisual Pro. Our goal is to mainly monitor the industrial zones, power plants, divisions, and transportation routes as most toxic compounds are formed there.

Paper Citation

in Harvard Style

Islam N., Noor-E-Sadman., Islam M. and Hasan M. (2022). Air Quality Monitoring of Bangladesh (AQM): Data Driven Analysis System. In Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-588-3, pages 205-212. DOI: 10.5220/0011306300003266

in Bibtex Style

@conference{icsoft22,
author={Noureen Islam and Noor-E-Sadman and Mahmudul Islam and Mahady Hasan},
title={Air Quality Monitoring of Bangladesh (AQM): Data Driven Analysis System},
booktitle={Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2022},
pages={205-212},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011306300003266},
isbn={978-989-758-588-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Air Quality Monitoring of Bangladesh (AQM): Data Driven Analysis System
SN - 978-989-758-588-3
AU - Islam N.
AU - Noor-E-Sadman.
AU - Islam M.
AU - Hasan M.
PY - 2022
SP - 205
EP - 212
DO - 10.5220/0011306300003266