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

Table 8

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

Site	Model	RMSE			MAPE
Lanzhou	IDW	17.33	0.8106	0.7051	52.12%
	COK	15.98	0.8333	0.7286	48.19%
	SIDM	14.17	0.8516	0.7455	45.15%
	OIDM	14.06	0.8914	0.7952	44.66%
	GIDM	9.88	0.9004	0.8103	28.18%
Huayuankou	IDW	17.88	0.8132	0.7045	49.15%
	COK	14.28	0.8518	0.7428	44.92%
	SIDM	14.44	0.8603	0.7519	45.85%
	OIDM	12.58	0.8884	0.7803	39.07%
	GIDM	9.28	0.9036	0.8015	27.91%
Lijin	IDW	15.71	0.7174	0.6140	65.41%
	COK	13.28	0.7521	0.6489	57.13%
	SIDM	13.89	0.8019	0.6977	58.62%
	OIDM	11.94	0.8144	0.7028	55.97%
	GIDM	8.67	0.8607	0.7529	33.41%
Hongqi	IDW	8.04	0.7917	0.6944	125.18%
	COK	7.02	0.8311	0.7207	96.31%
	SIDM	7.05	0.8357	0.7248	100.55%
	OIDM	6.21	0.8631	0.7550	77.42%
	GIDM	5.14	0.8844	0.7706	54.28%
Ganguyi	IDW	2.76	0.4782	0.3864	171.49%
	COK	2.09	0.6145	0.5028	124.57%
	SIDM	2.18	0.6455	0.5387	131.24%
	OIDM	1.67	0.6911	0.5907	96.72%
	GIDM	1.02	0.8144	0.7058	66.18%
Huaxian	IDW	9.85	0.7066	0.6024	94.27%
	COK	8.28	0.7422	0.6340	80.36%
	SIDM	8.33	0.7801	0.6705	83.27%
	OIDM	6.92	0.8288	0.7106	55.25%
	GIDM	5.46	0.8677	0.7601	33.42%
The average	IDW	11.93	0.7196	0.6178	92.94%
	COK	10.16	0.7708	0.6630	75.25%
	SIDM	10.01	0.7959	0.6882	77.45%
	OIDM	8.90	0.8295	0.7224	61.52%
	GIDM	6.63	0.8719	0.7669	40.56%