Research Article
A Comparative Study of VMD-Based Hybrid Forecasting Model for Nonstationary Daily Streamflow Time Series
Table 4
Performance of the ARMA model during the training period at the Weijiabao station.
| Sequence | ARMA parameters | Training | p | q | RMSE (m3/s) | NSE |
| IMF1 | 19 | 18 | 0.145 | 0.999997 | IMF2 | 13 | 19 | 0.196 | 0.999987 | IMF3 | 20 | 18 | 0.251 | 0.999929 | IMF4 | 6 | 20 | 0.334 | 0.999874 | IMF5 | 4 | 19 | 0.442 | 0.999604 | IMF6 | 20 | 19 | 0.508 | 0.999132 | IMF7 | 7 | 20 | 0.563 | 0.999325 | IMF8 | 18 | 17 | 0.546 | 0.998371 | IMF9 | 19 | 19 | 0.496 | 0.996429 | IMF10 | 20 | 20 | 0.415 | 0.995971 | IMF11 | 20 | 20 | 0.314 | 0.997730 |
|
|