Spatial Mapping of Riverbed Grain-Size Distribution Using Machine Learning

Spatial Mapping of Riverbed Grain-Size Distribution Using Machine Learning

Recent alluvial sediments in riverbeds play a significant role in controlling hydrologic exchange flows (HEFs) in river systems. The alluvial layer is usually associated with strong heterogeneity in physical properties (e.g., permeability and hydraulic conductivity), which affects local HEFs and the...

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Bibliographic Details
Main Authors: Huiying Ren, Zhangshuan Hou, Zhuoran Duan, Xuehang Song, William A. Perkins, Marshall C. Richmond, Evan V. Arntzen, Timothy D. Scheibe
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Water
Subjects:
machine learning
random forest
spatial heterogeneity
grain-size distribution
riverbed permeability
hydrologic exchange flows (HEFs)
Online Access:https://www.frontiersin.org/articles/10.3389/frwa.2020.551627/full

Internet

https://www.frontiersin.org/articles/10.3389/frwa.2020.551627/full

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