Articles | Volume 28, issue 7
https://doi.org/10.5194/hess-28-1477-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-1477-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Advancing understanding of lake–watershed hydrology: a fully coupled numerical model illustrated by Qinghai Lake
Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
University of Chinese Academy of Sciences, Beijing 101408, China
Xiaodong Li
Qinghai Institute of Meteorological Sciences, Xining, Qinghai 810001, China
Yan Chang
CORRESPONDING AUTHOR
Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Xianhong Meng
CORRESPONDING AUTHOR
Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
University of Chinese Academy of Sciences, Beijing 101408, China
Hao Chen
Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
University of Chinese Academy of Sciences, Beijing 101408, China
College of Atmospheric Sciences, Lanzhou University, Lanzhou, Gansu 730000, China
Yuan Qi
Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Hongwei Wang
Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Zhaoguo Li
Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Shihua Lyu
Chengdu University of Information Technology, Chengdu, Sichuan 610103, China
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Cited
10 citations as recorded by crossref.
- Role of impoundment and irrigation in intensive agriculture watersheds N. Mitra et al. 10.1016/j.jhydrol.2025.134075
- Hydrological imbalance in Nam Co Lake, the third-largest lake on the Tibetan Plateau W. Ren et al. 10.1016/j.jhydrol.2025.133956
- A review of integrated surface-subsurface numerical hydrological models L. Shu et al. 10.1007/s11430-022-1312-7
- Comprehensive Hydrological Analysis of the Buha River Watershed with High-Resolution SHUD Modeling Y. Chang et al. 10.3390/w16142015
- Multi-Source Data Integration and Model Coupling for Watershed Eco-Assessment Systems: Progress, Challenges, and Prospects L. Ma et al. 10.3390/pr13092998
- An Investigation into the Applicability of the SHUD Model for Streamflow Simulation Based on CMFD Meteorological Data in the Yellow River Source Region T. Bu et al. 10.3390/w16243583
- Landscape Character Classification with a Deep Neural Network: A Case Study of the Jianghan Plain W. Qin et al. 10.3390/land13122024
- Unstructured mesh-based graph neural networks for estimating the spatiotemporal distribution of a human-induced chemical in freshwater S. Kim et al. 10.1016/j.wroa.2025.100367
- Remotely sensed water color and eutrophication in a downstream lake: Long-term dynamic and driving factors in Hong Lake, China X. Geng et al. 10.1016/j.ecolind.2025.113783
- Simulation of water flow and sulfate transport in a large freshwater lake basin under natural and anthropogenic disturbances J. Li et al. 10.1016/j.watres.2025.123805
10 citations as recorded by crossref.
- Role of impoundment and irrigation in intensive agriculture watersheds N. Mitra et al. 10.1016/j.jhydrol.2025.134075
- Hydrological imbalance in Nam Co Lake, the third-largest lake on the Tibetan Plateau W. Ren et al. 10.1016/j.jhydrol.2025.133956
- A review of integrated surface-subsurface numerical hydrological models L. Shu et al. 10.1007/s11430-022-1312-7
- Comprehensive Hydrological Analysis of the Buha River Watershed with High-Resolution SHUD Modeling Y. Chang et al. 10.3390/w16142015
- Multi-Source Data Integration and Model Coupling for Watershed Eco-Assessment Systems: Progress, Challenges, and Prospects L. Ma et al. 10.3390/pr13092998
- An Investigation into the Applicability of the SHUD Model for Streamflow Simulation Based on CMFD Meteorological Data in the Yellow River Source Region T. Bu et al. 10.3390/w16243583
- Landscape Character Classification with a Deep Neural Network: A Case Study of the Jianghan Plain W. Qin et al. 10.3390/land13122024
- Unstructured mesh-based graph neural networks for estimating the spatiotemporal distribution of a human-induced chemical in freshwater S. Kim et al. 10.1016/j.wroa.2025.100367
- Remotely sensed water color and eutrophication in a downstream lake: Long-term dynamic and driving factors in Hong Lake, China X. Geng et al. 10.1016/j.ecolind.2025.113783
- Simulation of water flow and sulfate transport in a large freshwater lake basin under natural and anthropogenic disturbances J. Li et al. 10.1016/j.watres.2025.123805
Latest update: 13 Oct 2025
Short summary
We developed a new model to better understand how water moves in a lake basin. Our model improves upon previous methods by accurately capturing the complexity of water movement, both on the surface and subsurface. Our model, tested using data from China's Qinghai Lake, accurately replicates complex water movements and identifies contributing factors of the lake's water balance. The findings provide a robust tool for predicting hydrological processes, aiding water resource planning.
We developed a new model to better understand how water moves in a lake basin. Our model...