Ma et al. (2025) A Multi-Indicator Hazard Mechanism Framework for Flood Hazard Assessment and Risk Mitigation: A Case Study of Rizhao, China

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

Identification

• Journal: Land
• Year: 2025
• Date: 2025-12-31
• Authors: Yunjia Ma, X. J. Li, Yumeng Yang, Shanfeng HE, Hao Guo, Baoyin Liu
• DOI: 10.3390/land15010082

Research Groups

Not explicitly stated in the provided text, but the study focuses on Rizhao, China.

Short Summary

This study developed a multi-indicator framework for urban flood hazard assessment in Rizhao, China, identifying extreme-hazard zones in northern sectors driven by high imperviousness, short concentration time, and inadequate drainage, and proposing an integrated mitigation strategy.

Objective

• To develop and validate a multi-indicator hazard mechanism framework, integrating runoff generation, flow convergence, and drainage, for urban flood hazard assessment in Rizhao, China.

Study Configuration

• Spatial Scale: Central urban area of Rizhao, China (a coastal city).
• Temporal Scale: Not explicitly defined for the hazard assessment itself, but validation used historical flood records.

Methodology and Data

• Models used: TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for evaluating six key indicators. The conceptual framework integrates runoff generation, flow convergence, and drainage.
• Data sources: Geospatial data (Digital Elevation Model (DEM), road networks, land cover, soil characteristics), and historical flood records for validation.

Main Results

• Extreme-hazard zones, covering 6.41% of the central urban area, are primarily clustered in northern sectors of Rizhao.
• Flood susceptibility in these zones is driven by the synergistic effects of high imperviousness, short concentration time, and inadequate drainage infrastructure.
• The model's reliability was confirmed by independent validation, with 83.72% of documented waterlogging points located in predicted high-hazard zones.
• The model demonstrated good discriminatory performance with an Area Under the Curve (AUC) value of 0.737.
• An integrated mitigation strategy system of "source reduction, process regulation, and terminal enhancement" is proposed based on spatial hazard patterns and causal mechanisms.

Contributions

• Development of a novel multi-indicator hazard mechanism framework ("runoff–convergence–drainage") for urban flood hazard assessment.
• Provides practical guidance for urban resilience planning, including pipeline rehabilitation and sponge city implementation in Rizhao.
• Offers a transferable methodology for flood hazard assessment applicable to large-scale urban environments.

Funding

Not explicitly stated in the provided text.

Citation

@article{Ma2025MultiIndicator,
  author = {Ma, Yunjia and Li, X. J. and Yang, Yumeng and HE, Shanfeng and Guo, Hao and Liu, Baoyin},
  title = {A Multi-Indicator Hazard Mechanism Framework for Flood Hazard Assessment and Risk Mitigation: A Case Study of Rizhao, China},
  journal = {Land},
  year = {2025},
  doi = {10.3390/land15010082},
  url = {https://doi.org/10.3390/land15010082}
}