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Variation of dominant discharge along the riverbed based on numerical and deep-learning models: A case study in the Middle Huaihe River, China

  • Published:2022-09 Issue: Volume:612 Page:128285
  • ISSN:0022-1694
  • Container-title:Journal of Hydrology
  • language:en
  • Short-container-title:Journal of Hydrology

Author:

Xu Jin,Zhang Chengxiao,Wang Lingling,Zhu Hai,Tang Hongwu,Avital Eldad J.

Funder

Fundamental Research Funds for the Central Universities

Royal Statistical Society

China Three Gorges Corporation

Royal Society

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference50 articles.

1. Machine learning approach to modeling sediment transport;Bhattacharya;ASCE J. Hydraul. Eng.,2007

2. Outflow sediment concentration forecasting by integrating machine learning approaches and time series analysis in reservoir desilting operation;Chang;Stoch. Environ. Res. Risk Assess.,2020

3. Variation of dominant discharge in Lower Yellow River and its influence on river channel;Chen;J. Hydraul. Eng.,2007

4. Effective discharge recurrence intervals of Illinois streams;Crowder;Geomorphology,2005

5. Coupled modeling of bed deformation and bank erosion in the Jingjiang Reach of the middle Yangtze River;Deng;J. Hydrol.,2019
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