Research Article

Air Pollution Concentration Forecast Method Based on the Deep Ensemble Neural Network

Table 1

The correlation coefficient of the before hour auxiliary data and the next hour of PM2.5 concentration.

JinganUS_PostXuhuiDEWPHUMIPRESTEMPlwsPrecipitationIprecCVNESESWNWSpringSummerAutumnWinter

Jingan0.970.960.94-0.22-0.060.14-0.21-0.23-0.07-0.090.12-0.23-0.140.150.270.02-0.15-0.150.29
US_Post0.960.960.91-0.33-0.080.25-0.33-0.22-0.08-0.090.11-0.19-0.160.120.280.03-0.25-0.150.36
Xuhui0.940.910.97-0.25-0.080.17-0.24-0.23-0.08-0.090.12-0.23-0.130.150.260.00-0.16-0.140.31
DEWP-0.22-0.33-0.250.990.42-0.850.87-0.010.090.07-0.06-0.050.200.09-0.22-0.120.620.15-0.64
HUMI-0.06-0.08-0.080.420.95-0.21-0.050.030.150.150.040.080.07-0.15-0.07-0.090.130.01-0.05
PRES0.140.250.17-0.85-0.211.00-0.840.00-0.09-0.070.070.17-0.20-0.180.15-0.07-0.670.110.61
TEMP-0.21-0.33-0.240.87-0.05-0.840.99-0.030.020.01-0.08-0.110.180.18-0.20-0.070.610.15-0.68
lws-0.23-0.22-0.23-0.010.030.00-0.030.950.030.06-0.130.120.04-0.15-0.010.03-0.040.03-0.02
Precipitation-0.07-0.08-0.080.090.15-0.090.020.030.380.21-0.020.030.00-0.02-0.020.000.05-0.01-0.03
Iprec-0.09-0.09-0.090.070.15-0.070.010.060.210.91-0.020.07-0.03-0.03-0.020.020.020.02-0.02
CV0.120.110.12-0.060.040.07-0.08-0.13-0.02-0.020.31-0.07-0.060.05-0.03-0.08-0.090.150.01
NE-0.23-0.19-0.23-0.050.080.17-0.110.120.030.07-0.070.76-0.38-0.27-0.230.150.09-0.11-0.15
SE-0.14-0.16-0.130.200.07-0.200.180.040.00-0.03-0.06-0.380.75-0.13-0.300.020.14-0.11-0.05
SW0.150.120.150.09-0.15-0.180.18-0.15-0.02-0.030.05-0.27-0.130.62-0.10-0.09-0.110.030.17
NW0.270.280.26-0.22-0.070.15-0.20-0.01-0.02-0.02-0.03-0.23-0.30-0.100.751.00-0.33-0.36-0.35