Medium- Long-Term Runoff Forecasting Using Interpretable Hybrid Machine Learning Model for Data-Scarce Regions
[Objectives] This study aims to analyze the applicability of existing precipitation, temperature, and runoff data in data-scarce regions, and to develop and evaluate a deep learning hybrid model driven by multi-source information for improving the accuracy of monthly runoff forecasting. [Methods] Ba...
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| 主要作者: | |
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| 格式: | Article |
| 語言: | 中文 |
| 出版: |
Editorial Office of Journal of Changjiang River Scientific Research Institute
2025-07-01
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| 叢編: | 长江科学院院报 |
| 主題: | |
| 在線閱讀: | http://ckyyb.crsri.cn/fileup/1001-5485/PDF/1001-5485(2025)07-0052-08.pdf |
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