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Akademický článek

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

Autor: Erol Cromwell, Pin Shuai, Peishi Jiang, Ethan T. Coon, Scott L. Painter, J. David Moulton, Youzuo Lin, Xingyuan Chen

Publikováno v: Frontiers in Earth Science, Vol 9 (2021)

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 require

Externí odkaz: https://doaj.org/article/cc72e22359d2469bb90f70bb68046bf3

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Akademický článek

High-Performance Simulation of Dynamic Hydrologic Exchange and Implications for Surrogate Flow and Reactive Transport Modeling in a Large River Corridor

Autor: Yilin Fang, Xuehang Song, Huiying Ren, William A. Perkins, Pin Shuai, Marshall C. Richmond, Zhangshuan Hou, Jie Bao, Xingyuan Chen, Timothy D. Scheibe

Publikováno v: Frontiers in Water, Vol 2 (2020)

Hydrologic exchange flows (HEFs) have environmental significance in riverine ecosystems. Key river channel factors that influence the spatial and temporal variations of HEFs include river stage, riverbed morphology, and riverbed hydraulic conductivit

Externí odkaz: https://doaj.org/article/e55853338e124b7280482ee73cecb346

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The Importance of Explicitly Representing the Streambed in Watershed Models

Autor: Pin Shuai, Peishi Jiang, Ethan Coon, Xingyuan Chen

The streambed is the critical interface between the aquatic and terrestrial systems and hosts important biogeochemical hot spots within river corridors. Although the streambed characteristics are significantly different from those of its surrounding

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::86e24234dd64e0a9b1b91c24c42de836
https://doi.org/10.22541/au.168069100.00406132/v1

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