Study on Spatial Temporal Distribution Characteristics of Air Quality Index in Beijing and Its Correlation with Local Meteorological Conditions

Table 2

Relationship between air quality index and meteorological elements on the scale of average solar terms from 2016 to 2017 in Beijing.

Year	Project	Average temperature	Average specific humidity	Average wind speed
2016	Pearson correlation coefficient	−.127	−.137	−.207
	Significance level	0.016	0.017	0
	Number of samples	363	303	363
2017	Pearson correlation coefficient	−.109	−0.053	−.176
	Significance level	0.043	0.326	0.001
	Number of samples	347	347	347
2016-2017	Pearson correlation coefficient	−.116	−0.073	−.192
	Significance level	0.002	0.061	0
	Number of samples	710	650	710
2016-Spring	Pearson correlation coefficient	−0.124	0.065	−0.158
	Significance level	0.241	0.542	0.135
	Number of samples	91	91	91
2016-Summer	Pearson correlation coefficient	.219	.378	0.134
	Significance level	0.036	0	0.201
	Number of samples	92	92	92
2016-Autumn	Pearson correlation coefficient	−0.085	0.031	−0.19
	Significance level	0.423	0.768	0.071
	Number of samples	91	91	91
2016-Winter	Pearson correlation coefficient	.275	.673	−.381
	Significance level	0.009	0	0
	Number of samples	89	29	89
2017-Spring	Pearson correlation coefficient	0.091	.226	−0.087
	Significance level	0.416	0.041	0.44
	Number of samples	82	82	82
2017-Summer	Pearson correlation coefficient	.544	.229	0.144
	Significance level	0	0.036	0.192
	Number of samples	84	84	84
2017-Autumn	Pearson correlation coefficient	.274	.450	−.306
	Significance level	0.009	0	0.003
	Number of samples	91	91	91
2017-Winter	Pearson correlation coefficient	0.025	.661	−.373
	Significance level	0.813	0	0
	Number of samples	90	90	90

Note: Significant correlation at 0.05 level (bilateral). Was significantly correlated at the .01 level (bilateral).