Jiang et al. (2025) Probabilistic assessment of water network influence zones and ecosystem responses following the middle route of the South-to-North Water Diversion Project

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Identification

• Journal: Big Earth Data
• Year: 2025
• Date: 2025-12-10
• Authors: Tianliang Jiang, Yanping Qu, Xuejun Zhang, Dandan Su, Yu Han, Ruixuan Zhao
• DOI: 10.1080/20964471.2025.2597579

Research Groups

Not explicitly provided in the paper text.

Short Summary

This study quantitatively assesses the structural transformation and ecohydrological consequences of the South-to-North Water Diversion project in central and southern Hebei Province, revealing significant increases in water network density and connectivity, and expanded ecological influence zones post-implementation.

Objective

• To quantitatively assess the structural transformation of water networks and their ecohydrological consequences in central and southern Hebei Province, a major recipient area of the Middle Route of China’s South-to-North Water Diversion (SNWD) project.

Study Configuration

• Spatial Scale: Central and southern Hebei Province, China, encompassing 175 water distribution units.
• Temporal Scale: Comparison of conditions before and after the implementation of the SNWD project (post-2015), including seasonal dynamics.

Methodology and Data

• Models used: Probabilistic framework, machine learning techniques (for land use classification), water network density and connectivity indices.
• Data sources: Multi-source remote sensing data, environmental variables, high-resolution surface water datasets.

Main Results

• Water network density increased by 23% and connectivity improved by 26.7% post-2015, indicating enhanced hydrological integration.
• Land use classification models achieved an overall accuracy of 91.7%.
• Water network density and soil moisture were identified as primary determinants of ecosystem distribution.
• Forests and grasslands exhibited heightened sensitivity to seasonal hydrological variations.
• Artificial water conveyance pathways significantly expanded the spatial extent of ecological influence zones, particularly during the wet season.
• Calibrated ecological influence zones closely aligned with existing irrigation district boundaries.

Contributions

• Provides a quantitative assessment of the structural transformation and ecohydrological consequences of large-scale inter-basin water transfer projects.
• Develops a scalable, data-driven probabilistic framework for delineating hydrological influence zones and their seasonal dynamics.
• Offers a methodology to support the development of more responsive and ecologically attuned water resource management strategies.

Funding

Not explicitly provided in the paper text.

Citation

@article{Jiang2025Probabilistic,
  author = {Jiang, Tianliang and Qu, Yanping and Zhang, Xuejun and Su, Dandan and Han, Yu and Zhao, Ruixuan},
  title = {Probabilistic assessment of water network influence zones and ecosystem responses following the middle route of the South-to-North Water Diversion Project},
  journal = {Big Earth Data},
  year = {2025},
  doi = {10.1080/20964471.2025.2597579},
  url = {https://doi.org/10.1080/20964471.2025.2597579}
}