Energy Intelligence and Sustainability ISSN (Online): Under Process Volume-1 Issue-1 December-2025

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Influence of meteorological parameters on air pollution status in Ayodhya city through regression models

Akansha Patel1, Brijesh Kumar Yadav1, Sangram Singh2 and Vinod Kumar Chaudhary1

Department of Environmental Sciences,Dr. Rammanohar Lohia Avadh University, Ayodhya,Uttar Pradesh,India1
Department of Biochemistry,Dr. Rammanohar Lohia Avadh University, Ayodhya,Uttar Pradesh,India2
Corresponding Author : Vinod Kumar Chaudhary

Recieved : 20-October-2025; Revised : 12-December-2025; Accepted : 14-December-2025

Abstract

In the present study the influence of meteorological parameters on air pollutants were analyzed using a regression model. Air pollutant concentrations of SOx, NOx, and particulate matter (PM10) were measured by the established monitoring station. The relationship between meteorological parameters (temperature, precipitation, wind speed and humidity) and monitored air pollutant (SOx, NOx, and PM10) concentration were analyzed statistically using International Business Machines (IBM) Statistical Package for the Social Sciences (SPSS) software. Through statistical analysis, it was found that temperature has a significantly strong correlation with average concentration of NOx, SOx and PM10 (correlation coefficients of −0.956, −0.820, and −0.873, respectively). Precipitation and wind speed had shown a weak correlation with the average concentration of NOx, whereas moderate correlation with SOx and PM10. No significant correlation between the average concentration of NOx, SOx and PM10 with relative humidity was observed. Correlation coefficient value (R2) of 0.914, 0.76 and 0.80 were obtained for NOx, SOx and PM10 respectively.

Keywords

Sulfur dioxide, Particulate matter, Meteorological parameters, Stepwise regression, Correlation coefficient.

Cite this article

Patel A, Yadav BK, Singh S, Chaudhary VK. Influence of meteorological parameters on air pollution status in Ayodhya city through regression models. Energy Intelligence and Sustainability. 2025;1(1):1-9. DOI : 10.19101/EIS.2025.11005

References
[1]
Kumar S, Patel A, Kumar B, Baranwal A, Patel N, Chaudhary VK, et al. Role of modern techniques to measure the impact of air pollution on climate change: a short review. Climate Resilience: Impact of Quantum Computing and Artificial Intelligence on Urban Planning. 2025: 331-46.
[Crossref] [Google Scholar]
[2]
Manisalidis I, Stavropoulou E, Stavropoulos A, Bezirtzoglou E. Environmental and health impacts of air pollution: a review. Frontiers in Public Health. 2020; 8:14.
[Crossref] [Google Scholar]
[3]
Pant P, Harrison RM. Estimation of the contribution of road traffic emissions to particulate matter concentrations from field measurements: a review. Atmospheric Environment. 2013; 77:78-97.
[Crossref] [Google Scholar]
[4]
Gulia S, Nagendra SS, Khare M, Khanna I. Urban air quality management-a review. Atmospheric Pollution Research. 2015; 6(2):286-304.
[Crossref] [Google Scholar]
[5]
https://www.who.int/health-topics/air-pollution#tab=tab_1. Accessed 20 December 2025.
[6]
Huang YC, Brook RD. The clean air act: science, policy, and politics. Chest. 2011; 140(1):1-12.
[Google Scholar]
[7]
Jat R, Gurjar BR. Contribution of different source sectors and source regions of Indo-Gangetic Plain in India to PM2. 5 pollution and its short-term health impacts during peak polluted winter. Atmospheric Pollution Research. 2021; 12(4):89-100.
[Crossref] [Google Scholar]
[8]
Chauhan A, Pawar M, Kumar R, Joshi PC. Ambient air quality status in Uttarakhand (India): a case study of Haridwar and Dehradun using air quality index. Journal of American Science. 2010; 6(9):565-74.
[Google Scholar]
[9]
Pal S, Mahato S, Mandal I, Das P, Joshi PK. Evaluating aerosols concentration and air quality of Indian urban agglomerations over nationwide and regional lockdown. Atmospheric Pollution Research. 2022; 13(10):101567.
[Crossref] [Google Scholar]
[10]
World Health Organization. Global action plan on physical activity 2018-2030: more active people for a healthier world. World Health Organization; 2019.
[Google Scholar]
[11]
Chatterji A. Air pollution in Delhi: filling the policy gaps. Madras School of Economics. 2021;17(1).
[Google Scholar]
[12]
Agarwal A, Kaushik A, Kumar S, Mishra RK. Comparative study on air quality status in Indian and Chinese cities before and during the COVID-19 lockdown period. Air Quality, Atmosphere & Health. 2020; 13(10):1167-78.
[Crossref] [Google Scholar]
[13]
Roy S, Singha N. Analysis of ambient air quality based on exceedance factor and air quality index for Siliguri City, West Bengal. Current World Environment. 2020;15(2):235-45.
[Google Scholar]
[14]
Hou P, Wu S. Long-term changes in extreme air pollution meteorology and the implications for air quality. Scientific Reports. 2016; 6(1):23792.
[Crossref] [Google Scholar]
[15]
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; 9(2):2877-92.
[Crossref] [Google Scholar]
[16]
Ilten N, Selici AT. Investigating the impacts of some meteorological parameters on air pollution in Balikesir, Turkey. Environmental Monitoring and Assessment. 2008; 140(1):267-77.
[Crossref] [Google Scholar]
[17]
Hosseinibalam F, Hejazi A. Influence of meteorological parameters on air pollution in Isfahan. IPCBEE. 2012; 46:7-12.
[Google Scholar]
[18]
A computational study on the effect of climatic parameters on air pollution in Coimbatore city. In international conference on computational intelligence and knowledge economy (ICCIKE) (pp. 66-71). IEEE.
[Google Scholar]
[19]
Harrell Jr FE. Ordinal logistic regression. In regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis 2015 (pp. 311-25). Cham: Springer International Publishing.
[Crossref] [Google Scholar]
[20]
O’brien RM. A caution regarding rules of thumb for variance inflation factors. Quality & Quantity. 2007; 41(5):673-90.
[Crossref] [Google Scholar]
[21]
Cichowicz R, Wielgosiński G, Fetter W. Dispersion of atmospheric air pollution in summer and winter season. Environmental Monitoring and Assessment. 2017; 189(12):605.
[Google Scholar]