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

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