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.
Research article
| 
03 Apr 2024
Research article |
| 03 Apr 2024
| 03 Apr 2024
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
Viewed
Total article views: 4,741 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Jul 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,533 | 1,075 | 133 | 4,741 | 145 | 184 |
- HTML: 3,533
- PDF: 1,075
- XML: 133
- Total: 4,741
- BibTeX: 145
- EndNote: 184
Total article views: 3,629 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 03 Apr 2024)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,885 | 649 | 95 | 3,629 | 113 | 147 |
- HTML: 2,885
- PDF: 649
- XML: 95
- Total: 3,629
- BibTeX: 113
- EndNote: 147
Total article views: 1,112 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Jul 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 648 | 426 | 38 | 1,112 | 32 | 37 |
- HTML: 648
- PDF: 426
- XML: 38
- Total: 1,112
- BibTeX: 32
- EndNote: 37
Viewed (geographical distribution)
Total article views: 4,741 (including HTML, PDF, and XML)
Thereof 4,533 with geography defined
and 208 with unknown origin.
Total article views: 3,629 (including HTML, PDF, and XML)
Thereof 3,497 with geography defined
and 132 with unknown origin.
Total article views: 1,112 (including HTML, PDF, and XML)
Thereof 1,036 with geography defined
and 76 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
16 citations as recorded by crossref.
- Role of impoundment and irrigation in intensive agriculture watersheds N. Mitra et al. https://doi.org/10.1016/j.jhydrol.2025.134075
- A review of integrated surface-subsurface numerical hydrological models L. Shu et al. https://doi.org/10.1007/s11430-022-1312-7
- Quantifying heterogeneous hydrological interactions in complex river basins: an interpretable spatiotemporal deep learning approach J. Lin et al. https://doi.org/10.1016/j.jhydrol.2026.135792
- Exploring uncertainty propagation in coupled hydrologic and hydrodynamic systems via distribution-agnostic state space analysis M. Kazma & A. Taha https://doi.org/10.1016/j.advwatres.2026.105389
- Modeling the lake water balance of a closed alpine basin using a fully distributed hydrological framework: A case study of Qinghai Lake, China Z. Li et al. https://doi.org/10.1016/j.jhydrol.2025.134824
- A Comparative Trends of Watershed Health and Its Driving Forces N. Mao et al. https://doi.org/10.3390/w18010095
- Simulation of water flow and sulfate transport in a large freshwater lake basin under natural and anthropogenic disturbances J. Li et al. https://doi.org/10.1016/j.watres.2025.123805
- Hydrological imbalance in Nam Co Lake, the third-largest lake on the Tibetan Plateau W. Ren et al. https://doi.org/10.1016/j.jhydrol.2025.133956
- Geoecological Study of Lake and Basin Systems: An Applied Analysis of the Somyne Ramsar Wetland, Ukraine I. Kovalchuk et al. https://doi.org/10.3390/limnolrev26020015
- Comprehensive Hydrological Analysis of the Buha River Watershed with High-Resolution SHUD Modeling Y. Chang et al. https://doi.org/10.3390/w16142015
- Multi-Source Data Integration and Model Coupling for Watershed Eco-Assessment Systems: Progress, Challenges, and Prospects L. Ma et al. https://doi.org/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. https://doi.org/10.3390/w16243583
- Landscape Character Classification with a Deep Neural Network: A Case Study of the Jianghan Plain W. Qin et al. https://doi.org/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. https://doi.org/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. https://doi.org/10.1016/j.ecolind.2025.113783
- Hydroclimatic and flood inundation modelling of Lake Victoria using the LaVIWaB model V. Ogembo et al. https://doi.org/10.1016/j.ejrh.2026.103575
16 citations as recorded by crossref.
- Role of impoundment and irrigation in intensive agriculture watersheds N. Mitra et al. https://doi.org/10.1016/j.jhydrol.2025.134075
- A review of integrated surface-subsurface numerical hydrological models L. Shu et al. https://doi.org/10.1007/s11430-022-1312-7
- Quantifying heterogeneous hydrological interactions in complex river basins: an interpretable spatiotemporal deep learning approach J. Lin et al. https://doi.org/10.1016/j.jhydrol.2026.135792
- Exploring uncertainty propagation in coupled hydrologic and hydrodynamic systems via distribution-agnostic state space analysis M. Kazma & A. Taha https://doi.org/10.1016/j.advwatres.2026.105389
- Modeling the lake water balance of a closed alpine basin using a fully distributed hydrological framework: A case study of Qinghai Lake, China Z. Li et al. https://doi.org/10.1016/j.jhydrol.2025.134824
- A Comparative Trends of Watershed Health and Its Driving Forces N. Mao et al. https://doi.org/10.3390/w18010095
- Simulation of water flow and sulfate transport in a large freshwater lake basin under natural and anthropogenic disturbances J. Li et al. https://doi.org/10.1016/j.watres.2025.123805
- Hydrological imbalance in Nam Co Lake, the third-largest lake on the Tibetan Plateau W. Ren et al. https://doi.org/10.1016/j.jhydrol.2025.133956
- Geoecological Study of Lake and Basin Systems: An Applied Analysis of the Somyne Ramsar Wetland, Ukraine I. Kovalchuk et al. https://doi.org/10.3390/limnolrev26020015
- Comprehensive Hydrological Analysis of the Buha River Watershed with High-Resolution SHUD Modeling Y. Chang et al. https://doi.org/10.3390/w16142015
- Multi-Source Data Integration and Model Coupling for Watershed Eco-Assessment Systems: Progress, Challenges, and Prospects L. Ma et al. https://doi.org/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. https://doi.org/10.3390/w16243583
- Landscape Character Classification with a Deep Neural Network: A Case Study of the Jianghan Plain W. Qin et al. https://doi.org/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. https://doi.org/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. https://doi.org/10.1016/j.ecolind.2025.113783
- Hydroclimatic and flood inundation modelling of Lake Victoria using the LaVIWaB model V. Ogembo et al. https://doi.org/10.1016/j.ejrh.2026.103575
Saved (final revised paper)
Latest update: 14 Aug 2026
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...
