Analysis for the Relationship Between Concentrations of Air Pollutants and Meteorological Parameters in Xi'an, China

摘要

The current study was based on annual ambient air quality monitoring data and corresponding meteorological observation data of Xi'an in 2011. Distribution models on hourly concentrations of PM_(1o), SO_2, and NO_2 were studied, and the results showed that statistical distribution functions varied from seasons and from pollutants. The optimal distribution models of PM_(10) concentrations in the four seasons (spring, summer, autumn, and winter) were generalized extreme value distribution (GEVD), Weibull, Weibull, and GEVD, respectively; those of SO_2 were lognormal, log-logistic, log-logistic, and GEVD, respectively; and those of NO_2 were Weibull, lognormal, GEVD, and GEVD, respectively. The concentrations ranges were 0.03 ~ 0.20 mg/m~3 for PM_(10), 0.008 ~ 0.17 mg/m~3 for SO_2, and 0.01 ~ 0.12 mg/m~3 for NO_2, and the probabilities of concentrations in the ranges for accordingly pollutants were up to 85 %. Effects of the meteorological parameters on concentrations of PM_(10), SO_2, and NO_2 were studied with linear correlation analysis method for Xi'an city. The results indicated that pollutant concentrations had a negative correlation with wind speed, temperature, and mixing height (MH), whereas it had a positive correlation with atmospheric pressure and atmospheric stability. Both temperature and atmospheric pressure were the most obvious correlation with SO_2 concentration with rvalue of -0.7916 and 0.7032, respectively. Wind speed and MH had the most obvious correlation with NO_2 concentration with rvalue of -0.4423 and -0.3997, respectively. SO_2 had the best correlation with meteorological parameters. Analyzing the statistical characteristics of urban air pollution concentration and their relationships with meteorological parameters are of great importance to study urban air pollution problems and corresponding prevention measure.