Statistical analysis of pollutants in outdoor air system for building ventilation based on typical urban meteorological parameters

Selects twelve typical cities in China’s five climate zones, and statistically analyses the distribution characteristics of PM2.5, PM10, SO2, NO2, temperature and relative humidity and the correlation among meteorological elements from 2012 to 2017 using SPSS software. The results show the variation trend of daily average concentration of PM2.5, PM10, SO2, NO2 higher in winter and lower in summer, single peak within a year and double peaks with sinusoidal distribution law in the period of years. The variation trend of temperature and relative humidity is similar to that of mass concentration of air pollutants. The fog and haze index (F) has regional differences, obvious seasonal characteristics and the highest peak in winter. The principal components of air pollutants are PM2.5 and PM10 (cumulative contribution rate is more than 90%). PM2.5 and PM10 have obvious linear correlations with temperature and relative humidity (correlation coefficient is greater than 0.5), while SO2 and NO2 have no obvious linear correlations with temperature and relative humidity (correlation coefficient is less than 0.3). When the optimal F considering temperature and humidity is introduced to analyse air pollution factors, the variance value and the numerical dispersion degree are smaller, the degree of numerical dispersion is small, and the analysis result is more accurate.