| Autor: |
Wenyu Zhang, Menggang Kou, Mengzheng Lv, Yuanyuan Shao |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 12739-12757 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1110-0168 |
| DOI: |
10.1016/j.aej.2022.06.050 |
| Popis: |
Reliable precipitation forecasting is essential for effective water management and timely warning of natural disasters such as floods and droughts. However, precipitation is a nonlinear water vapor cycle with certain spatial and temporal dependence, and stable prediction accuracy cannot be obtained by using a single model. Therefore, this paper proposes a novelty prediction model based on original feature extraction and an improved multi-objective swarm intelligence optimization algorithm, and it carries out multi-step prediction tests for two sites in the arid/semi-arid region (Qilian Mountain-Hexi Corridor). Finally, through the 19 comparison models, 5 evaluation indexes and 3 model performance tests, it is confirmed that the precipitation combined forecasting model constructed in this study is a reliable prediction system with optimal parameters. And it can provide favorable technical support for weather forecasting. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
