Calculation of Suspended Sediment Concentration Based on Deep Learning and OBS Turbidity-Reference-Cited by-同舟云学术

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Calculation of Suspended Sediment Concentration Based on Deep Learning and OBS Turbidity

Published:2020-08-27 Issue:sp1 Volume:115 Page:627
ISSN:0749-0208
Container-title:Journal of Coastal Research
language:
Short-container-title:Journal of Coastal Research

Author:

Ying Jianyun¹,Liang Kewei²,Wu Qingsong¹,Xie Ming¹,Jin Xuchen³,Ye Qin¹,Yang Zhongliang¹

Affiliation:

1. Key Laboratory of Engineering oceanography Second Institute of Oceanography Ministry of Natural Resources Hangzhou, Zhejiang, China

2. School of Mathematical Sciences Zhejiang University Hangzhou, China

3. School of Earth Sciences Zhejiang University Hangzhou, China

Publisher

Coastal Education and Research Foundation

Subject

Earth-Surface Processes,Water Science and Technology,Ecology

Cited by 7 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. Precipitation-dependent sensitivity of suspended sediment concentration to turbidity in a mountainous river in southwestern China;Ecological Indicators;2024-02

2. A hybrid mechanism and ridge regression model to separate the effects of advection and resuspension on suspended sediment concentration;Ecological Indicators;2023-12

3. Deep learning-based total suspended solids concentration classification of stream water surface images captured by mobile phone;Environmental Monitoring and Assessment;2023-11-20

4. Prediction of shear stress induced by shoaling internal solitary waves based on machine learning method;Marine Georesources & Geotechnology;2022-10-21

5. A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment;Water Research;2022-06

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