A novel construct for scaling groundwater–river interactions based on machine-guided hydromorphic classification

A novel construct for scaling groundwater–river interactions based on machine-guided hydromorphic classification

Hydrologic exchange between river channels and adjacent subsurface environments is a key process that influences water quality and ecosystem function in river corridors. Predictive numerical models are needed to understand responses of river corridors to environmental change and to support sustainab...

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Bibliographic Details
Main Authors: Zhangshuan Hou, Huiying Ren, Christopher J Murray, Xuehang Song, Yilin Fang, Evan V Arntzen, Xingyuan Chen, James C Stegen, Maoyi Huang, Jesus D Gomez-Velez, Zhuoran Duan, William A Perkins, Marshall C Richmond, Timothy D Scheibe
Format: Article
Language:English
Published: IOP Publishing 2021-01-01
Series:Environmental Research Letters
Subjects:
hydrologic exchange
hydromorphic classification
machine learning
Online Access:https://doi.org/10.1088/1748-9326/ac24ce

Internet

https://doi.org/10.1088/1748-9326/ac24ce

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