Seasonal trend analysis and influence of meteorological factors on the concentration of atmospheric pollutants in an urban area
Abstract
Introduction: Air pollution is a growing concern in Greater Noida, Uttar Pradesh, where meteorological factors play a major role. As urbanization accelerates, the region has not yet thoroughly examined the impact of factors
like temperature, humidity, wind direction, and speed on pollutants like Particulate Matters (PM2.5, PM10), Nitrogen dioxide (NO2), and Sulfur dioxide (SO2).
Materials and methods: To explore this issue, a 12-month study (January to December 2023) was conducted to analyze the relationships between these meteorological factors and pollutant levels. In the present study, pollutant movement was tracked over time. Pearson correlation was used to correlate air pollution concentrations with weather conditions.
Results: The study revealed that the average concentrations of PM10, PM2.5, and NO2 were 912.54 µg/m³, 257.42 µg/m³, and 65.98 µg/m³, respectively. In contrast, SO2 had an average concentration of 26.85 µg/m³.
Conclusion: The study indicates that particulate matter and temperature are strongly negatively correlated, while wind speed shows a weak positive correlation with particulate matter. Pollution levels and relative humidity also display a negative correlation, as do particulate matter concentrations and humidity. However, gaseous pollutants exhibit little to no significant correlation with these weather conditions.
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2. Ma T, Duan F, He K, Qin Y, Tong D, Geng G, et al. Air pollution characteristics and their relationship with emissions and meteorology in the Yangtze River Delta region during 2014–2016. Journal of Environmental Sciences. 2019 Sep 1;83:8-20.
3. Kanawade VP, Srivastava AK, Ram K, Asmi E, Vakkari V, Soni VK, et al. What caused severe air pollution episode of November 2016 in New Delhi?. Atmospheric Environment. 2020 Feb 1;222:117125.
4. Shi Y, Bilal M, Ho HC, Omar A. Urbanization and regional air pollution across South Asian developing countries–A nationwide land use regression for ambient PM2.5 assessment in Pakistan. Environmental Pollution. 2020 Nov 1;266:115145.
5. Ravindra K, Singh T, Mor S, Singh V, Mandal TK, Bhatti MS, et al. Real-time monitoring of air pollutants in seven cities of North India during crop residue burning and their relationship with meteorology and transboundary movement of air. Science of the total environment. 2019 Nov 10;690:717-29.
6. Ravindra K, Singh T, Sinha V, Sinha B, Paul S, Attri SD, et al. Appraisal of regional haze event and its relationship with PM2.5 concentration, crop residue burning and meteorology in Chandigarh, India. Chemosphere. 2021 Jun 1;273:128562.
7. Singh T, Biswal A, Mor S, Ravindra K, Singh V, Mor S. A high-resolution emission inventory of air pollutants from primary crop residue burning over Northern India based on VIIRS thermal anomalies. Environmental Pollution. 2020 Nov 1;266:115132.
8. Ulpiani G, Hart MA, Di Virgilio G, Maharaj AM. Urban meteorology and air quality in a rapidly growing city: Inter-parameter associations and intra-urban heterogeneity. Sustainable Cities and Society. 2022 Feb 1;77:103553.
9. Hertig E, Russo A, Trigo R. Compound heat and ozone pollution events relevant for human health. InEGU General Assembly Conference Abstracts 2021 Apr (pp. EGU21-119).
10. O'Lenick CR, Wilhelmi OV, Michael R, Hayden MH, Baniassadi A, Wiedinmyer C, et al. Urban heat and air pollution: A framework for integrating population vulnerability and indoor exposure in health risk analyses. Science of the total environment. 2019 Apr 10;660:715-23.
11. Pandey A, Brauer M, Cropper ML, Balakrishnan K, Mathur P, Dey S, et al. Health and economic impact of air pollution in the states of India: the Global Burden of Disease Study 2019. The Lancet Planetary Health. 2021 Jan 1;5(1):e25-38.
12. Tandon A, Kanchan T, Tandon A. The poison we breathe. The Lancet. 2020 Feb 1;395(10221):e18.
13. Khaiwal Ravindra KR, Neha Agarwal NA, Kaur-Sidhu M, Suman Mor SM. Appraisal of thermal comfort in rural household kitchens of Punjab, India and adaptation strategies for better health.
14. Sigamani S, Venkatesan R. Air quality index prediction with influence of meteorological parameters using machine learning model for IoT application. Arabian Journal of Geosciences. 2022 Feb;15(4):340.
15. Briceno-Garmendia C, Qiao W, Foster V. The economics of electric vehicles for passenger transportation. World Bank Publications; 2023 Jun 6.
16. Bose A, Roy Chowdhury I. Investigating the association between air pollutants’ concentration and meteorological parameters in a rapidly growing urban center of West Bengal, India: a statistical modeling-based approach. Modeling Earth Systems and Environment. 2023 Jun;9(2):2877-92.
17. Cai X, Yu J, Qin Y. Spatial Distribution of Air Pollution and Its Relationship with Meteorological Factors: A Case Study of 31 Provincial Capitals in China. Polish Journal of Environmental Studies. 2023 May 1;32(3).
18. Banerjee B, Kundu S, Kanchan R, Mohanta A. Examining the relationship between atmospheric pollutants and meteorological factors in Asansol city, West Bengal, India, using statistical modelling. Environmental Science and Pollution Research. 2024 May 18:1-8.
19. Singh D, Kumar AS, Goyal VC, Arora M, Allaka NR. Characteristics of meteorological variables and their implications on evaporation in Roorkee (India). HydroResearch. 2021 Jan 1;4:47-60.
20. Javanroodi K, Nik VM. Interactions between extreme climate and urban morphology: Investigating the evolution of extreme wind speeds from mesoscale to microscale. Urban Climate. 2020 Mar 1;31:100544.
21. Oji S, Adamu H. Correlation between air pollutants concentration and meteorological factors on seasonal air quality variation. Journal of air pollution and health. 2020 May 27.
22. Feng H, Zou B, Wang J, Gu X. Dominant variables of global air pollution-climate interaction: Geographic insight. Ecological indicators. 2019 Apr 1;99:251-60.
23. Battista G, de Lieto Vollaro R. Correlation between air pollution and weather data in urban areas: Assessment of the city of Rome (Italy) as spatially and temporally independent regarding pollutants. Atmospheric Environment. 2017 Sep 1;165:240-7.
24. Hrishikesh CG, Nagendra SS. Study of meteorological impact on air quality in a humid tropical urban area. Journal of Earth System Science. 2019 Jul;128:1-8.
25. Manju A, Kalaiselvi K, Dhananjayan V, Palanivel M, Banupriya GS, Vidhya MH, et al. Spatio-seasonal variation in ambient air pollutants and influence of meteorological factors in Coimbatore, Southern India. Air Quality, Atmosphere and Health. 2018 Dec;11:1179-89.
26. Seinfeld JH, Pandis SN. Atmospheric chemistry and physics: from air pollution to climate change. John Wiley & Sons; 2016 Apr 4.
27. Coccia M. The effects of atmospheric stability with low wind speed and of air pollution on the accelerated transmission dynamics of COVID-19. International Journal of Environmental Studies. 2021 Jan 2;78(1):1-27.
| Files | ||
| Issue | Vol 9 No 4 (2024): Autumn 2024 | |
| Section | Original Research | |
| DOI | https://doi.org/10.18502/japh.v9i4.17650 | |
| Keywords | ||
| Meteorological variable; Pearson correlation; Air pollutants; Linear relation; National ambient air quality standards (NAAQS) | ||
| Rights and permissions | |
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Kumar N, Ranjan P, . S. Seasonal trend analysis and influence of meteorological factors on the concentration of atmospheric pollutants in an urban area. JAPH. 2024;9(4):493-508.
