Table 4 Results of the multiple linear regression model.
From: Response of river water quality to landscape features in a subtropical hilly region
Buffer zone | Catchment | ||||||||
|---|---|---|---|---|---|---|---|---|---|
Coefficient | SE | ∆BIC | R2 | Coefficient | SE | ∆BIC | R2 | ||
CODMn | CODMn | ||||||||
Intercept | 0.35 | 0.06 | Intercept | 0.23 | 0.14 | ||||
LPIforest | 0.17 | 0.11 | Impervious | 0.39 | 0.25 | ||||
Final model metrics | 3.96 | 0.15 | Final model metrics | 2.67 | 0.15 | ||||
COD | COD | ||||||||
Intercept | 1.06 | 0.08 | Intercept | -54.78 | 22.23 | ||||
Grassland | -4.68 | 1.99 | AIforest | 28.85 | 11.25 | ||||
Final model metrics | 3.69 | 0.3 | AIgrass | -1.12 | 0.32 | ||||
BOD5 | Final model metrics | 3.43 | 0.54 | ||||||
Intercept | -0.42 | 0.35 | BOD5 | ||||||
Slope | 0.44 | 0.19 | Intercept | 1.08 | 0.16 | ||||
Grassland | -20.02 | 7.49 | AIgrass | -0.46 | 0.1 | ||||
LPIforest | 0.23 | 0.09 | Final model metrics | 2.68 | 0.61 | ||||
Slope: Grassland | 10.76 | 4.45 | NH3-N | ||||||
Final model metrics | 4.32 | 0.75 | Intercept | -0.13 | 0.08 | ||||
NH3-N | Impervious | 0.96 | 0.2 | ||||||
Intercept | 0.17636 | 0.05 | LPIcrop | -0.42 | 0.08 | ||||
LPIforest | -0.16 | 0.09 | Final model metrics | 4.96 | 0.69 | ||||
Final model metrics | 5.39 | 0.18 | TP | ||||||
TP | Intercept | -1.84 | 0.88 | ||||||
Intercept | 0.03 | 0 | AIgrass | -0.07 | 0.01 | ||||
Grassland | -0.17 | 0.11 | AIforest | 0.99 | 0.45 | ||||
Final model metrics | 4.64 | 0.16 | Final model metrics | 3.43 | 0.71 | ||||
TN | TN | ||||||||
Intercept | 0.53 | 0.05 | Intercept | 0.18 | 0.15 | ||||
Grassland | -2.48 | 1.3 | Impervious | 1.06 | 0.39 | ||||
Final model metrics | 5.1 | 0.22 | LPIcrop | -0.44 | 0.17 | ||||
Final model metrics | 5.32 | 0.4 | |||||||
