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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ren, Huiying, Song, Xuehang, Fang, Yilin, Hou, Z. Jason, Scheibe, Timothy D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082419/
https://www.ncbi.nlm.nih.gov/pubmed/33937747
http://dx.doi.org/10.3389/frai.2021.648071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082419/
https://www.ncbi.nlm.nih.gov/pubmed/33937747
http://dx.doi.org/10.3389/frai.2021.648071

Ejemplares similares