Investigating the Impacts of Meteorological Parameters on Air Pollution in Shanghai

Abstract:

Air quality has been deteriorated seriously in Shanghai as a result of urbanization and modernization. Air pollution concentrations were decreased during the period of 2008-2011. PM₁₀, SO₂ and NO₂ concentrations were higher in winter than in summer. Meteorological conditions affect air pollution levels in the urban atmosphere significantly due to their important role in transport and dilution of the pollutants. Multiple linear regression models were used to predict next day’s PM₁₀, SO₂ and NO₂ concentrations, respectively. The calculated R² values were 0.753, 0.800 and 0.861 for PM₁₀, SO₂ and NO₂ regression model, respectively. This result shows the multiple regression model analysis, providing simple and faster application facilities, is useful for modeling the impacts of meteorological factors on air pollutant levels.

• Periodical: Applied Mechanics and Materials (Volumes 675-677)
• Pages: 643-646
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.675-677.643
• Online since: October 2014
• Authors: Dan Xue*, Qian Liu
• Keywords: Air Pollution, Meteorological Factors, Multiple Linear Regression, Shanghai

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