A coupled model applied to complex river–lake systems-Reference-Cited by-同舟云学术

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A coupled model applied to complex river–lake systems

Published:2023-12-07 Issue:1 Volume:69 Page:95-105
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Zhang Qi¹²^ORCID,Zhan Chesheng¹³,Wang Yueling¹,Zhang Haoyue³,Lin Zhonghui¹

Affiliation:

1. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

2. University of Chinese Academy of Sciences, Beijing, China

3. Yucheng Comprehensive Experiment Station, Chinese Academy of Sciences, Beijing, China

Funder

Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2023.2285441

Reference74 articles.

1. Enhancement of river flooding due to global warming

2. Poyang and Dongting Lakes, Yangtze River: tributary lakes blocked by main-stem aggradation

3. Quantifying changes in flooding and habitats in the Tonle Sap Lake (Cambodia) caused by water infrastructure development and climate change in the Mekong Basin

4. Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting

5. Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine

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