Table 7 Statistical features of predicted pollutant time series.
From: An adaptive adjacency matrix-based graph convolutional recurrent network for air quality prediction
Monitoring station | Pollutant | Maximum | Minimum | Median | Mean | Standard deviation |
|---|---|---|---|---|---|---|
Fangshan | PM2.5 | 165 | 1 | 41 | 53.22 | 44.66 |
PM10 | 235 | 1 | 84 | 96.32 | 61.73 | |
O3 | 181 | 1 | 48 | 58.67 | 52.18 | |
Tiantan | PM2.5 | 151 | 1 | 36 | 47.81 | 41.61 |
PM10 | 183 | 2 | 66 | 75.84 | 47.04 | |
O3 | 172 | 1 | 48 | 55.83 | 48.17 | |
Dongsi | PM2.5 | 164 | 1 | 38 | 51.37 | 44.94 |
PM10 | 211 | 2 | 71 | 82.52 | 54.95 | |
O3 | 180 | 1 | 52 | 61.3 | 50.52 |
