Table 2.
Spearman’s correlations between each atmospheric pollutants and meteorological factors in Beijing, 2013-2017b
| Variables | SO2 | CO | NO2 | O3 | PM10 | PM2.5 | Temp | Humidity |
|---|---|---|---|---|---|---|---|---|
| SO2 | 1.000 | |||||||
| CO | 0.6039 | 1.0000 | ||||||
| NO2 | 0.6552 | 0.7221 | 1.0000 | |||||
| O3 | −0.3621 | − 0.4185 | −0.4062 | 1.0000 | ||||
| PM10 | 0.5715 | 0.5783 | 0.7005 | −0.0304 | 1.0000 | |||
| PM2.5 | 0.5607 | 0.7246 | 0.7170 | −0.1127 | 0.8417 | 1.0000 | ||
| Temp | −0.4938 | − 0.3407 | − 0.3014 | 0.8102 | − 0.0197 | − 0.0588 | 1.0000 | |
| Humidity | −0.3893 | 0.0429 | −0.0118 | 0.0108 | −0.0279 | 0.0779 | 0.1052 | 1.0000 |
b All correlation coefficients were statistically significant (P < 0.001)
Temp: Temperature