Discrete Dynamics in Nature and Society / 2017 / Article / Tab 8 / Research Article
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%