Xiao et al. (2025) Modeling Dynamic Flood Population Exposure in Coupled Human‐Water Systems: The Role of Reservoir Regulation and Population Movement

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

Identification

• Journal: Water Resources Research
• Year: 2025
• Date: 2025-10-01
• Authors: Qiang Dai, Rui Liu, D. S. Ji, Xiaoying Lai, Jun Zhang
• DOI: 10.1029/2025wr041234

Research Groups

Not available in the abstract.

Short Summary

This study calculates dynamic flood population exposure by integrating hydrological modeling with human mobility data, revealing that reservoir operations reduce hazard levels for a portion of the exposed population and that nighttime flood exposure significantly surpasses daytime levels due to diurnal population fluctuations.

Objective

• To calculate dynamic flood population exposure in coupled human-water systems by integrating hydrological modeling with human mobility data, considering both cross-city mobility dynamics and reservoir-induced hazard shifts.

Study Configuration

• Spatial Scale: Urban agglomerations, cross-city.
• Temporal Scale: Diurnal (daily fluctuations) and long-term flood scenarios (5–100 year return periods).

Methodology and Data

• Models used: Global River Hydrodynamics Model (CaMa-Flood), Kernel Density Estimation (KDE) interpolation.
• Data sources: ERA5-Land, Today's Earth data sets (as forcing data), mobile positioning data.

Main Results

• Incorporating reservoir operations reduces the hazard level for 8%–11.8% of the exposed population under flood scenarios with return periods of 5–100 years.
• Diurnal population fluctuations alter flood exposure, with nighttime exposure surpassing daytime levels by 681–777 thousand people for 5–100 year return period events.

Contributions

• Provides a novel framework to assess dynamic flood population exposure by coupling water conservation regulation with cross-city population movement.
• Supports collaborative flood management in urban agglomerations by offering a more accurate and dynamic exposure assessment.

Funding

Not available in the abstract.

Citation

@article{Xiao2025Modeling,
  author = {Xiao, Yuanyuan and Dai, Qiang and Liu, Rui and Ji, D. S. and Lai, Xiaoying and Zhang, Jun},
  title = {Modeling Dynamic Flood Population Exposure in Coupled Human‐Water Systems: The Role of Reservoir Regulation and Population Movement},
  journal = {Water Resources Research},
  year = {2025},
  doi = {10.1029/2025wr041234},
  url = {https://doi.org/10.1029/2025wr041234}
}