Zhang et al. (2026) Long-Term Time-Series Dynamics of Lake Water Storage on the Qinghai–Tibet Plateau via Multi-Source Remote Sensing and DEM-Based Underwater Bathymetry Reconstruction
⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.
Identification
- Journal: Remote Sensing
- Year: 2026
- Date: 2026-01-09
- Authors: Xuteng Zhang, Ziyuan Xu, Changxian Qi, Dezhong Xu, Yao Chen, Han Peng
- DOI: 10.3390/rs18020225
Research Groups
Not explicitly mentioned in the provided text.
Short Summary
This study proposes a DEM-based underwater topography extrapolation method to reconstruct 30-year absolute water storage time series for 120 lakes on the Qinghai–Tibet Plateau, revealing a significant cumulative increase of approximately 137.297 billion m³ (20.73%) in total lake water storage.
Objective
- To precisely quantify absolute water storage and reconstruct long-term, high-accuracy water storage time series for lakes on the Qinghai–Tibet Plateau, addressing limitations of conventional methods in data-scarce regions.
Study Configuration
- Spatial Scale: 120 lakes larger than 50 km² on the Qinghai–Tibet Plateau.
- Temporal Scale: 30-year period.
Methodology and Data
- Models used: DEM-based underwater topography extrapolation method.
- Data sources: Nearshore Digital Elevation Model (DEM) data, multi-source remote sensing observations of lake area and water level.
Main Results
- The proposed method shows strong agreement with independent validation data, achieving an overall correlation coefficient of 0.95.
- Reconstructed time series are highly reliable, with correlation coefficients exceeding 0.6.
- Total lake water storage on the Qinghai–Tibet Plateau exhibited a significant increasing trend over the study period.
- Cumulative growth in total water storage was approximately 137.297 billion m³.
- This represents a 20.73% increase in total water storage.
- The increase showed notable spatial heterogeneity.
Contributions
- Development of a novel DEM-based underwater topography extrapolation method suitable for data-scarce, topographically complex, high-altitude lake regions, overcoming limitations of conventional absolute water storage monitoring.
- Reconstruction of the first long-term (30-year), high-accuracy absolute water storage time series for 120 lakes on the Qinghai–Tibet Plateau.
- Provision of a reliable water storage dataset crucial for research on water cycles, climate change assessment, and regional water resource management.
Funding
Not explicitly mentioned in the provided text.
Citation
@article{Zhang2026LongTerm,
author = {Zhang, Xuteng and Xu, Ziyuan and Qi, Changxian and Xu, Dezhong and Chen, Yao and Peng, Han},
title = {Long-Term Time-Series Dynamics of Lake Water Storage on the Qinghai–Tibet Plateau via Multi-Source Remote Sensing and DEM-Based Underwater Bathymetry Reconstruction},
journal = {Remote Sensing},
year = {2026},
doi = {10.3390/rs18020225},
url = {https://doi.org/10.3390/rs18020225}
}
Original Source: https://doi.org/10.3390/rs18020225