Proceedings of the 7th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024)

Seasonal and Meteorological Influences on the Concentration of PM2.5 at CAMS-3 in Dhaka City using Decadal Data

Authors
Md Shoaib Chowdhury1, *, Chowdhury A. Hossain2
1Professor, Dept of Civil & Environmental Engineering, North South University, Dhaka, Bangladesh
2Graduate Student, Dept of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
*Corresponding author. Email: shoaib.chowdhury@northsouth.edu
Corresponding Author
Md Shoaib Chowdhury
Available Online 23 July 2024.
DOI
10.2991/978-94-6463-478-5_11How to use a DOI?
Keywords
PM2.5; air quality; seasonal influence; meteorological influence
Abstract

Researchers have studied meteorological influences on PM2.5 concentration in Dhaka City with limited data and there is a need for further study. This study analyzes time series data (i.e., decadal data: 2013-2022) encompassing the most recent years to better understand long term state of PM2.5 concentration in the air of Dhaka. Specifically, the purpose is to (1) perform statistical analysis on the PM2.5 data while taking into consideration of monthly and seasonal variation of PM2.5 concentration and compare the mean values with the local and international ambient air quality standards to understand the health effects of PM2.5 concentration in the air, and (2) assess the influences of seasonally varied meteorological parameters (i.e. temperature, relative humidity, precipitation and wind speed) on the concentration of PM2.5. This study utilizes PM2.5 concentration data of the Continuous Air Quality Monitoring Station #3 (CAMS #3-Darus-salam) and meteorological data of Bangladesh Meteorological Department (BMD). It is found that PM2.5 (annual averaging values) has been remained in the air at a very high concentration throughout the ten-year (2013-2022) analysis period causing serious public health hazard and premature deaths. Regarding the influence of meteorological parameters on PM2.5, it is found that all three parameter values (i.e. temperature, relative humidity, and precipitation) are inversely (negatively) correlated with the PM2.5 values, and the meteorological factors including the wind effect (i.e., potential for transporting of PM2.5 from nearby Brick Kilns) may play significant roles in the increment of PM2.5 concentration during the Dry season.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 7th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024)
Series
Atlantis Highlights in Engineering
Publication Date
23 July 2024
ISBN
978-94-6463-478-5
ISSN
2589-4943
DOI
10.2991/978-94-6463-478-5_11How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Md Shoaib Chowdhury
AU  - Chowdhury A. Hossain
PY  - 2024
DA  - 2024/07/23
TI  - Seasonal and Meteorological Influences on the Concentration of PM2.5 at CAMS-3 in Dhaka City using Decadal Data
BT  - Proceedings of the 7th International Conference on Civil Engineering for Sustainable Development (ICCESD 2024)
PB  - Atlantis Press
SP  - 135
EP  - 144
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-478-5_11
DO  - 10.2991/978-94-6463-478-5_11
ID  - Chowdhury2024
ER  -