Wang et al. (2026) Remote Sensing Dynamic Monitoring and Driving Mechanism of Lake Area in Ebinur Lake, 1992–2024

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Identification

• Journal: Water
• Year: 2026
• Date: 2026-07-25
• Authors: X Wang, Decao Niu, Xiaoming Cao, YJ Li, Jie Han, Xiaochang Jiang, Zhengwei Han, C R Yang, Yu Zhang
• DOI: 10.3390/w18151810

Research Groups

Not specified in the provided text.

Short Summary

This study analyzes the spatio-temporal dynamics of Ebinur Lake from 1992 to 2024, concluding that the lake's continuous degradation is primarily driven by socio-economic factors (70%) rather than meteorological influences (30%).

Objective

• To determine the optimal water extraction method for monitoring lake area and to investigate the spatio-temporal variations and driving mechanisms of Ebinur Lake's area.

Study Configuration

• Spatial Scale: Ebinur Lake and its basin, Xinjiang, China.
• Temporal Scale: 1992–2024.

Methodology and Data

• Models used: Normalized Difference Water Index (NDWI), Mann–Kendall test, Pearson correlation, and ridge regression.
• Data sources: Landsat imagery, meteorological data, and socio-economic data.

Main Results

• Methodological Validation: NDWI demonstrated high and stable classification accuracy, making it the optimal index for long-term monitoring of the lake.
• Area Trends: The lake area showed a significant fluctuating downward trend from 1992 to 2024 without abrupt change points.
• Seasonal Dynamics: During the growing season (April–October), lake area reaches its minimum in August and September, coinciding with peak agricultural irrigation demand.
• Driving Mechanisms: Socio-economic factors (population growth and increased water consumption) are the dominant drivers, accounting for approximately 70% of the variance, while meteorological factors contribute approximately 30%.

Contributions

• Provides methodological support for the long-term monitoring of arid saline lakes.
• Offers scientific evidence to guide ecological conservation and water resource management in the Ebinur Lake Basin by quantifying the dominance of human activities over climatic factors in lake degradation.

Funding

Not specified in the provided text.

Citation

@article{Wang2026Remote,
  author = {Wang, X and Niu, Decao and Cao, Xiaoming and Li, YJ and Han, Jie and Jiang, Xiaochang and Han, Zhengwei and Yang, C R and Zhang, Yu},
  title = {Remote Sensing Dynamic Monitoring and Driving Mechanism of Lake Area in Ebinur Lake, 1992–2024},
  journal = {Water},
  year = {2026},
  doi = {10.3390/w18151810},
  url = {https://doi.org/10.3390/w18151810}
}