Chen et al. (2025) Spatial heterogeneity and driving mechanism of the response of lake area to drought for lakes in China

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: International Journal of Digital Earth
• Year: 2025
• Date: 2025-09-30
• Authors: Rixiang Chen, Kun Yang, Senlin Zhu, Yi Luo, Chunxue Shang, Tingfang Jia, Xingfang Pei, Qingqing Wang, Dingpu Li, Changqing Peng, Jinming Hu
• DOI: 10.1080/17538947.2025.2551092

Research Groups

Not provided in the given text.

Short Summary

This study developed a novel image pollution pixel filling algorithm to construct a high spatiotemporal resolution monthly lake area dataset for China from 2000 to 2021, revealing a significant upward trend in lake area with spatial heterogeneity, and identifying drought as a primary driver of lake area fluctuations, often exacerbated by human activities.

Objective

• To propose an image pollution pixel filling algorithm to construct a monthly lake area dataset for China, evaluate the spatiotemporal variation of lake areas from 2000 to 2021, and identify their driving mechanisms.

Study Configuration

• Spatial Scale: China (specifically Chinese lakes, with regional analysis around the Heihe-Tengchong Line).
• Temporal Scale: Monthly, from 2000 to 2021.

Methodology and Data

• Models used: An image pollution pixel filling algorithm (proposed in the study).
• Data sources: Satellite imagery (implied for surface water identification and lake area dataset construction).

Main Results

• The constructed lake area dataset demonstrated high accuracy (Nash-Sutcliffe Efficiency (NSE) = 0.99, Root Mean Square Error (RMSE) = 84.33 square kilometres, Relative Root Mean Square Error (RRMSE) = 8.02%).
• Chinese lake areas showed a significant upward trend of 26.55 square kilometres per month (P < 0.01) from 2000 to 2021, with significant spatial heterogeneity.
• Approximately 85% (326 in number) of lakes were impacted by drought.
• Lakes located on the southeastern side of the Heihe-Tengchong Line were affected by both drought and human activities.
• The fluctuation area of lakes was significantly correlated with the lake area affected by drought (Pearson correlation coefficient (r) = 0.95, P < 0.01).
• Drought was identified as an important reason for the fluctuation in lake area.

Contributions

• Development of a novel image pollution pixel filling algorithm to enhance the accuracy of surface water identification.
• Creation of a long-term (2000-2021) complete, high spatiotemporal resolution monthly lake area dataset for China.
• Comprehensive evaluation of the spatiotemporal variations and trends of lake areas across China.
• Quantification of the impact of drought and human activities on lake area fluctuations, highlighting their spatial differences.

Funding

Not provided in the given text.

Citation

@article{Chen2025Spatial,
  author = {Chen, Rixiang and Yang, Kun and Zhu, Senlin and Luo, Yi and Shang, Chunxue and Jia, Tingfang and Pei, Xingfang and Wang, Qingqing and Li, Dingpu and Peng, Changqing and Hu, Jinming},
  title = {Spatial heterogeneity and driving mechanism of the response of lake area to drought for lakes in China},
  journal = {International Journal of Digital Earth},
  year = {2025},
  doi = {10.1080/17538947.2025.2551092},
  url = {https://doi.org/10.1080/17538947.2025.2551092}
}