Zhang et al. (2026) A Study on Integration of Topographic Clustering and Physical Constraints for Flood Propagation Simulation

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Identification

• Journal: Remote Sensing
• Year: 2026
• Date: 2026-03-13
• Authors: Xu Zhang, Xiaotao Li, Yingwei Sun, Qi Su, Shifan Yuan, Mei Yang, Qianfang Lou, Bingyuan Chen
• DOI: 10.3390/rs18060885

Research Groups

Not explicitly mentioned in the provided text.

Short Summary

This study develops a high-accuracy and efficient flood evolution simulation method for flood storage and detention basins (FSDBs) by combining terrain clustering and physical propagation constraints. The method achieves errors within 10% for water level and inundation extent, and improves computational efficiency by over 60% compared to traditional methods.

Objective

• To develop and validate a high-accuracy and efficient flood evolution simulation method for flood storage and detention basins (FSDBs) under emergency conditions, overcoming limitations of traditional static inundation methods.

Study Configuration

• Spatial Scale: Local (Dongdian FSDB) to basin-scale (Haihe River Basin), utilizing a 2 meter resolution digital elevation model (DEM).
• Temporal Scale: Dynamic simulation of flood inundation processes during extreme flood events, incorporating flood travel time and propagation time delay constraints.

Methodology and Data

• Models used:
  • Improved superpixel segmentation algorithm (TSLIC) for terrain clustering.
  • RS-CFPM flood evolution model, which combines flow velocity from the Manning equation, flood propagation speed derived from radar remote sensing, a water balance framework, and a propagation time delay constraint.
• Data sources:
  • GF-7 stereo imagery and laser altimetry data for building a 2 meter resolution DEM.
  • Radar remote sensing for estimating flood propagation speed.
  • Multi-temporal radar observations for validation of simulated water level and inundation extent.

Main Results

• The proposed method successfully simulated the flood inundation process during the “23·7” extreme basin-scale flood event in the Haihe River Basin.
• Errors for simulated water level and inundation extent in the Dongdian FSDB were both within 10% when compared with multi-temporal radar observations.
• Computational efficiency was improved by more than 60% compared with traditional methods.

Contributions

• Proposes a novel high-accuracy and rapid flood evolution simulation method for FSDBs under emergency conditions, integrating terrain clustering and physical propagation constraints.
• Overcomes the limitation of traditional static inundation methods by incorporating flood travel time through a propagation time delay constraint.
• Significantly improves computational efficiency while maintaining high accuracy, making it suitable for emergency flood operation and decision-making.

Funding

Not explicitly mentioned in the provided text.

Citation

@article{Zhang2026Study,
  author = {Zhang, Xu and Li, Xiaotao and Sun, Yingwei and Su, Qi and Yuan, Shifan and Yang, Mei and Lou, Qianfang and Chen, Bingyuan},
  title = {A Study on Integration of Topographic Clustering and Physical Constraints for Flood Propagation Simulation},
  journal = {Remote Sensing},
  year = {2026},
  doi = {10.3390/rs18060885},
  url = {https://doi.org/10.3390/rs18060885}
}