Machine Learning Analysis of Hydrologic Exchange Flows and Transit Time Distributions in a Large Regulated River
Hydrologic exchange between river channels and adjacent subsurface environments is a key process that influences water quality and ecosystem function in river corridors. High-resolution numerical models were often used to resolve the spatial and temporal variations of exchange flows, which are compu...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
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Frontiers Media S.A.
2021-04-01
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| Series: | Frontiers in Artificial Intelligence |
| Assuntos: | |
| Acceso en liña: | https://www.frontiersin.org/articles/10.3389/frai.2021.648071/full |
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