Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm

Table 6

The RMSE, , , and MAPE of five different models in Hongqi site, Ganguyi, Baimasi, and Huaxian site (where boldface font indicates the best performance).

Site	Model	RMSE			MAPE
Hongqi	IDW	7.88	0.8245	0.7123	116.43%
	COK	6.89	0.8678	0.7519	94.12%
	SIDM	6.97	0.8732	0.7644	97.28%
	OIDM	5.86	0.8905	0.7847	65.50%
	GIDM	4.78	0.9033	0.7945	44.76%
Ganguyi	IDW	2.45	0.5103	0.4016	156.52%
	COK	1.87	0.6722	0.5518	115.06%
	SIDM	1.94	0.6903	0.5802	120.67%
	OIDM	1.41	0.7388	0.6155	83.48%
	GIDM	0.75	0.8792	0.7616	48.57%
Baimasi	IDW	4.55	0.7891	0.6618	126.55%
	COK	3.67	0.8105	0.7025	98.43%
	SIDM	3.91	0.8145	0.7056	101.16%
	OIDM	3.34	0.8534	0.7501	72.05%
	GIDM	2.56	0.884	0.7711	38.30%
Huaxian	IDW	9.01	0.7365	0.6140	88.04%
	COK	7.55	0.7890	0.6658	61.28%
	SIDM	7.84	0.8104	0.7022	63.45%
	OIDM	6.06	0.8615	0.7507	45.18%
	GIDM	4.75	0.9067	0.7890	25.65%
The average	IDW	5.97	0.7151	0.5974	121.89%
	COK	4.99	0.7849	0.6680	92.22%
	SIDM	5.17	0.7971	0.6881	95.64%
	OIDM	4.17	0.8361	0.7253	66.55%
	GIDM	3.21	0.8933	0.7791	39.32%