Design flood estimation for global river networks based on machine learning models
<p>Design flood estimation is a fundamental task in hydrology. In this research, we propose a machine-learning-based approach to estimate design floods globally. This approach involves three stages: (i) estimating at-site flood frequency curves for global gauging stations using the Anderson–Da...
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| Main Authors: | , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Copernicus Publications
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/cc686fbb87c74b4680dbf28a08067fb8 |
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