IWA Publishing

Table 7

Coefficient and intercepts of the morphology-based throughfall prediction models for different classes of rainfall depths

Rainfall class	Number of variables	Variables entered in equation	Coefficient	SE	RMSE, mm	Adjusted R²	AIC	F	Pr > F
<5 mm	2	CL	−3.770	0.637	2.748	0.949	26.81	104.17	<0.0001
		LAI	−0.647	0.144
		Intercept	75.204	2.465
5–10 mm	3	TH	4.851	2.347	5.028	0.815	41.89	17.14	<0.001
		CL	−7.453	2.189
		LAI	−1.599	0.899
		Intercept	84.681	4.668
10–20 mm	3	TH	−3.145	0.968	2.073	0.917	20.63	41.44	<0.0001
		CL	4.215	0.903
		LAI	−0.483	0.371
		Intercept	94.792	1.925
>20 mm	3	DBH	−0.182	0.064	1.522	0.934	13.21	52.72	<0.0001
		CL	−0.781	0.266
		LAI	−0.299	0.140
		Intercept	106.926	1.616

Rainfall class	Number of variables	Variables entered in equation	Coefficient	SE	RMSE, mm	Adjusted R²	AIC	F	Pr > F
<5 mm	2	CL	−3.770	0.637	2.748	0.949	26.81	104.17	<0.0001
		LAI	−0.647	0.144
		Intercept	75.204	2.465
5–10 mm	3	TH	4.851	2.347	5.028	0.815	41.89	17.14	<0.001
		CL	−7.453	2.189
		LAI	−1.599	0.899
		Intercept	84.681	4.668
10–20 mm	3	TH	−3.145	0.968	2.073	0.917	20.63	41.44	<0.0001
		CL	4.215	0.903
		LAI	−0.483	0.371
		Intercept	94.792	1.925
>20 mm	3	DBH	−0.182	0.064	1.522	0.934	13.21	52.72	<0.0001
		CL	−0.781	0.266
		LAI	−0.299	0.140
		Intercept	106.926	1.616

RR, roughness ratio; LAI, leaf area index; DBH, diameter at breast height; CA, canopy area; TH, tree height; CL, canopy length; R², coefficient of determination; F, F value; Pr, significance probability; SE, standard error; AIC, Akaike information criteria; RMSE, root mean squared error.

View Large

This Feature Is Available To Subscribers Only