Regional flood frequency analysis using data-driven models (M5, random forest, and ANFIS) and a multivariate regression method in ungauged catchments
Abstract Flooding is recognized worldwide joined of the most expensive natural hazards. To adopt proper structural and nonstructural measurements for controlling and mitigating the rising flood risk, the availability of streamflow values along a river is essential. This raises concerns in the hydrol...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
SpringerOpen
2023-05-01
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| Серія: | Applied Water Science |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/s13201-023-01940-3 |
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