Table 2 Results of historical PM2.5, NO2 and O3 linear regression models.
Model | Distance | Value | SE | p |
|---|---|---|---|---|
PM 2.5 Model [R 2 = 0.33, RMSE = 3.57] | ||||
Intercept | - | 1.18 | 1.16 | 0.31 |
Satellite PM2.5 | - | 0.46 | 0.11 | < 0.001 |
Population Density | 10 km | 3.94e-6 | 2.89e-7 | < 0.001 |
Years < 1994 | - | 0.29 | 9.28e-3 | < 0.001 |
NO 2 Model [R 2 = 0.36, RMSE = 7.00] | ||||
Intercept | - | 10.88 | 1.07 | < 0.001 |
Satellite NO2 | - | 1.67 | 0.46 | < 0.001 |
Population Density | 5 km | 2.6e-5 | 5.11e-6 | < 0.001 |
Years < 1994 | - | 0.28 | 0.028 | < 0.001 |
O 3 Model [R 2 = 0.47, RMSE = 5.13] | ||||
Intercept | - | 6.85 | 1.66 | < 0.001 |
O3 Dispersion Model | - | 0.73 | 0.06 | < 0.001 |
Population Density | 5 km | -2.0e-5 | 2.5e-6 | < 0.001 |