Research Article
Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm
Table 7
The RMSE,
,
, and MAPE of five different models in Lanzhou site, Lijin site, and Hongqi site (where boldface font indicates the best performance).
| Site | Model | RMSE | | | MAPE |
| Lanzhou | IDW | 13.12 | 0.8551 | 0.7417 | 42.89% | COK | 11.29 | 0.8704 | 0.7658 | 34.52% | SIDM | 11.16 | 0.8913 | 0.7928 | 34.11% | OIDM | 8.88 | 0.9146 | 0.8108 | 27.59% | GIDM | 6.55 | 0.9344 | 0.8215 | 12.41% |
| Lijin | IDW | 11.76 | 0.7857 | 0.678 | 55.15% | COK | 9.51 | 0.846 | 0.7401 | 43.54% | SIDM | 9.33 | 0.8773 | 0.776 | 42.44% | OIDM | 8.78 | 0.9104 | 0.8008 | 37.69% | GIDM | 6.67 | 0.9355 | 0.8298 | 21.55% |
| Hongqi | IDW | 7.44 | 0.8567 | 0.7428 | 105.18% | COK | 6.43 | 0.8807 | 0.7701 | 92.74% | SIDM | 6.77 | 0.8924 | 0.7815 | 93.45% | OIDM | 5.23 | 0.9158 | 0.8103 | 64.98% | GIDM | 4.35 | 0.9344 | 0.8318 | 41.51% |
| The average | IDW | 10.77 | 0.8325 | 0.7208 | 67.74% | COK | 9.08 | 0.8657 | 0.7587 | 56.93% | SIDM | 9.09 | 0.8870 | 0.7834 | 56.67% | OIDM | 7.63 | 0.9136 | 0.8073 | 43.42% | GIDM | 5.86 | 0.9348 | 0.8277 | 25.16% |
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