Research Article
On the Investigation of Monthly River Flow Generation Complexity Using the Applicability of Machine Learning Models
Table 4
Statistical analysis of observed and modeling results of the monthly streamflow values.
| | River name | | Observed | MART | GMDH | GEP |
| | | | Training | | Upper Zab | Maximum flow (m3/s) | 1681 | 1558 | 1897 | 993 | | Standard deviation (m3/s) | 326 | 303 | 293 | 229 | | Mean (m3/s) | 397 | 393 | 393 | 402 |
| | Lower Zab | Maximum flow (m3/s) | 1406 | 1215 | 827 | 628 | | Standard deviation (m3/s) | 198 | 179 | 131 | 125 | | Mean (m3/s) | 198 | 196 | 199 | 203 |
| | Diyala | Maximum flow (m3/s) | 1451 | 850 | 908 | 617 | | Standard deviation (m3/s) | 171 | 134 | 119 | 113 | | Mean (m3/s) | 156 | 150 | 154 | 160 |
| | | | Validating | | Upper Zab | Maximum flow (m3/s) | 1631 | 1486 | 1435 | 885 | | Standard deviation (m3/s) | 286 | 287 | 282 | 228 | | Mean (m3/s) | 353 | 364 | 388 | 370 |
| | Lower Zab | Maximum flow (m3/s) | 1569 | 1215 | 769 | 588 | | Standard deviation (m3/s) | 205 | 201 | 149 | 129 | | Mean (m3/s) | 198 | 201 | 195 | 207 |
| | Diyala | Maximum flow (m3/s) | 864 | 769 | 626 | 570 | | Standard deviation (m3/s) | 150 | 145 | 111 | 116 | | Mean (m3/s) | 150 | 148 | 157 | 160 |
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