Estimating Watershed Subsurface Permeability From Stream Discharge Data Using Deep Neural Networks

Estimating Watershed Subsurface Permeability From Stream Discharge Data Using Deep Neural Networks

Subsurface permeability is a key parameter in watershed models that controls the contribution from the subsurface flow to stream flows. Since the permeability is difficult and expensive to measure directly at the spatial extent and resolution required by fully distributed watershed models, estimatio...

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Bibliographic Details
Main Authors: Erol Cromwell, Pin Shuai, Peishi Jiang, Ethan T. Coon, Scott L. Painter, J. David Moulton, Youzuo Lin, Xingyuan Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Earth Science
Subjects:
DNN
machine learning
inverse modeling
subsurface permeability
stream discharge
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2021.613011/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2021.613011/full

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