Identification and mapping of riverbed sediment facies in the Columbia River through integration of field observations and numerical simulations-Reference-Cited by-同舟云学术

Identification and mapping of riverbed sediment facies in the Columbia River through integration of field observations and numerical simulations

Published:2019-02-15 Issue:8 Volume:33 Page:1245-1259
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrological Processes

Author:

Hou Zhangshuan¹^ORCID,Scheibe Timothy D.²,Murray Christopher J.¹,Perkins William A.¹,Arntzen Evan V.³,Ren Huiying¹,Mackley Robert D.¹,Richmond Marshall C.¹

Affiliation:

1. Energy and Environment Directorate Pacific Northwest National Laboratory Richland Washington United States of America

2. Environmental and Biological Sciences Directorate Pacific Northwest National Laboratory Richland Washington United States of America

3. Operational Systems Pacific Northwest National Laboratory Richland Washington United States of America

Funder

Biological and Environmental Research

Publisher

Wiley

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.13396

Reference95 articles.

1. Determination of Hydraulic Conductivity from Complete Grain-Size Distribution Curves

2. Riverbed sediment classification using multi-beam echo-sounder backscatter data

3. AnglinD HaesekerS SkalickyJ SchallerH TiffanK HattenJ HoffarthP NugentJ BennerD YoshinakaM.2006.Effects of hydropower operations on spawning habitat rearing habitat and stranding/entrapment mortality of fall Chinook salmon in the Hanford Reach of the Columbia River. Final Report. Columbia River Fisheries Program Office US Fish and Wildlife Service. Vancouver Washington.

4. Effects of fluctuating river flow on groundwater/surface water mixing in the hyporheic zone of a regulated, large cobble bed river

5. Turbulence Modeling of Surface Water Flow and Transport: Part I

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Influence of Vertical Hydrologic Exchange Flow, Channel Flow, and Biogeochemical Kinetics on CH₄ Emissions From Rivers;Water Resources Research;2023-12

2. Catchment-scale variability and driving factors of fine sediment deposition: insights from a coupled experimental and machine-learning-based modeling study;Journal of Soils and Sediments;2023-04-26

3. Identification of hyporheic extent and functional zonation during seasonal streamflow recession by unsupervised clustering of time‐lapse electrical resistivity models;Hydrological Processes;2022-10

4. Mapping subaerial sand-gravel-cobble fluvial sediment facies using airborne lidar and machine learning;Geomorphology;2022-03

5. A novel construct for scaling groundwater–river interactions based on machine-guided hydromorphic classification;Environmental Research Letters;2021-09-23