IJEP 45(5): 406-414 : Vol. 45 Issue. 5 (May 2025)
1. Sri Krishna College of Engineering and Technology, Department of Civil Engineering, Coimbatore – 641 008, Tamil Nadu, India
2. KPR Institute of Engineering and Technology, Department of Civil Engineering, Coimbatore – 641 407, Tamil Nadu, India
Abstract
This study aims to assess the air condition and quality in Coimbatore city by quantifying the air quality index (AQI) and comparing the obtained values against established standards. Additionally, the research explores the correlation between ambient air quality and different climatic conditions while analyzing the dispersion patterns of air pollutants. Four air quality monitoring stations were meticulously selected within Coimbatore city for this research. The criteria for selection considered factors, such as traffic volume, traffic congestion and proximity to commercial, residential and industrial areas. Critical parameters, including wind speed, wind direction, temperature, relative humidity, rainfall intensity and atmospheric pressure, were measured at these locations. These data were integral in interpreting air quality monitoring results and gaining a deeper understanding of atmospheric chemical reactions. The study involved experimental analyses to determine levels of particulate matter and gaseous pollutants at the chosen locations. Subsequently, these measurements were used to calculate the air quality index values. The Fluidyn-PANACHE computational fluid dynamics (CFD) model was employed to conduct a comprehensive analysis of atmospheric pollutant dispersion. The study aimed to simulate the spatial distribution of air pollutants at four distinct locations within the city.
Keywords
Pollution, Dispersion, Data collection, Atmosphere, Chemical reaction
References
- Gaur, A., et al. 2014. Four-year measurements of trace gases (SO2, NOx, CO and O3) at an urban location Kanpur in northern India. J. Atmos. Chem., 71: 283–301.
- Census of India. 2011. Provisional population totals. Government of India.
- Bhuyan, P.K. and P. Samantray. 2010. Ambient air quality status in Choudwar area of Cuttack district, India. Int. J. Env. Sci., 1(3): 343–356.
- Garg, A. and N.C. Gupta. 2020. The great smog month and spatial and monthly variation in air quality in ambient air in Delhi, India. J. Health Poll., 27: 200910.
- CPCB. 2010. Status of the vehicular pollution control programme in India. Central Pollution Control Board, New Delhi.
- Bhakiyaraja, S., et al. 2017. Dispersion of air pollutant in the neighbourhood of a typical thermal power station under critical wind speed using CFD-Fluidyn PANACHE. Int. J. Mech. Eng. Tech., 7(6): 245–252.
- CPCB. 2011. Guidelines for measuring ambient air pollution monitoring (vol 1). Central Pollution Control Board, New Delhi.
- Fluidyn-PANCHE. 2010. User manual (7th edn). FLUIDYN France/TRANSOFT International.
- Wang, C., et al. 2018. Identifying redundant monitoring stations in an air quality monitoring network. Atmos. Env., 190: 256-268.
- Shah, H.N., Z. Khan and A.A. Merchant. 2018. IOT based air pollution monitoring system. Int. J. Sci. Eng. Res., 9(2): 62-66.
- Kim, M.J. 2019. Changes in the relationship between particulate matter and surface temperature in Seoul from 2002-2017. Atmos., 10(5): 1-11.
- Meena, J., et al. 2012. Study of ambient air quality monitoring on Himalayan regions Garhwal and Kumaon, Uttarakhand, India. Int. J. Appl. Eng. Tech., 2: 18-22.
- Mohanraj, R. and P.A. Azeez. 2005. Urban development and particulate air pollution in Coimbatore city, India. Int. J. Env. Studies. 62: 69–78.
- Rao, M.N. and H.V.N. Rao. 2005. Air pollution control (1st edn). Tata-McGraw Hill.
- Sadheesh, S. and J. Jeyanthi. 2023, Analysis of seasonal variation and dispersion pattern of ambient air pollutants in an urban environment. Global Nest J., 25(5): 66-75.
- Zhang, B., et al. 2018. Influences of wind and precipitation on different-sized particulate matter concentrations (PM2.5, PM10). Meteorol. Atmos. Physics. 130(3): 383-392.
- Tominaga, Y. and T. Stathopoulos. 2011. CFD modelling of pollution dispersion in a street canyon: Comparison between LES and RANS. J. Wind Eng. Ind. Aerodynamics. 99: 340–348.
- Wang, Y., et al. 2014. Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013–2014. Env. Int., 73: 413–422.
- Nagendra, S.M.S., K. Venugopal and S. L. Jones. 2011. Assessment of air quality near traffic intersections in Bangalore city using air quality indices. Transportation Res. Part D: Transport Env., 12: 167-176.
- Huang, X., et al. 2021. Impacts of a high-rise building on urban airflows and pollutant dispersion under different temperature stratifications: Numerical investigations. Atmos. Poll. Res., 12: 100–112.
- Chen, L. and M. Le Guellec. 2017. Validation of Fluidyn PANACHE CFD model against large scale and wind tunnel experiments. HARMO 18, Bologne.
- Dunea, D., S. Iordache and C. Radulescu. 2016. A multi-dimensional approach to the influence of wind on the variations of particulate matter and associated heavy metals in Ploiesti city: Romania. Romanian J. Physics. 61: 1354–1368.
- Sadheesh, S. and M. Kumar. 2019. Ambient air quality monitoring and modelling in Coimbatore city. Indian j. Env. prot., 39(6): 524-530.