2024, Vol. 5, Issue 2, Part A
The relationship between air pollutants and meteorological parameters in Jaipur city: A statistical analysis
Author(s): Anindya
Abstract: Growing air pollution has become one of the major concerns for mankind due to its detrimental effect on human health. Air quality is assessed worldwide to study the status of air pollution levels and associated health risks to the public. Indian cities such as Noida, Faridabad, Patna, Meerut, etc are featuring in top most polluted cities in the world. Several air pollutants reach very high concentrations in many regions across India. This study investigates the relationship between air pollutants (NO₂, SO₂, and PM₁₀) and meteorological parameters (temperature, relative humidity, wind speed, precipitation, and air pressure) in Jaipur City from January 2018 to December 2022. By utilizing the data from six RSPCB air pollution stations, the research conducts a detailed statistical analysis, including descriptive statistics, trend analysis, and Pearson's correlation coefficients as well as coefficient of determination using linear regression graph to show the dependency of pollutants on meteorological parameters. The results indicate significant seasonal variations and correlations among the pollutants and meteorological variables. Notably, PM₁₀ concentrations are strongly influenced by precipitation and wind speed, while NO₂ and SO₂ show a high correlation with air pressure. The findings underscore the impact of meteorological conditions on air pollution levels, providing valuable insights for environmental policy and urban planning to mitigate air quality issues in Jaipur. This study highlights the urgent need for effective strategies to address the severe air pollution affecting urban areas in developing countries, with implications for public health and environmental sustainability.
Pages: 31-37 | Views: 38 | Downloads: 18
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How to cite this article:
Anindya. The relationship between air pollutants and meteorological parameters in Jaipur city: A statistical analysis. Journal of Mathematical Problems, Equations and Statistics. 2024; 5(2): 31-37.
