Li et al. (2025) Societal and environmental interconnections: future directions for flood inundation models

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

Identification

• Journal: Environmental Research Letters
• Year: 2025
• Date: 2025-11-20
• Authors: Zhi Li, Steven M. Gorelick
• DOI: 10.1088/1748-9326/ae21f4

Research Groups

• International research community in hydrology, flood modeling, and remote sensing (specific affiliations not provided in the abstract).

Short Summary

This review synthesizes the evolution of flood inundation models from 1970 to 2023, highlighting the transition toward large-scale simulations and identifying eight interdisciplinary frontiers for future research.

Objective

• To provide a foundational understanding of the state-of-the-science in flood model developments over the past 50 years and to outline strategic directions for addressing climate and demographic challenges.

Study Configuration

• Spatial Scale: Global and multi-scale (ranging from local urban/agricultural plots to large-scale simulations).
• Temporal Scale: 1970–2023 (53-year review period).

Methodology and Data

• Models used: Traditional numerical modeling, large-scale simulation frameworks, AI-based flood models, and coupled systems (e.g., flood-land surface-atmosphere models).
• Data sources: Satellite remote sensing, high-resolution drone imagery, crowdsourcing, and video data.

Main Results

• The field has reached a maturity inflection point, evolving from basic numerical approaches to sophisticated large-scale simulations integrated with satellite data.
• Eight critical research avenues were identified:
  1. Two-way coupling with atmospheric sciences.
  2. Integration with epidemiology for health impact assessments.
  3. Economic frameworks for quantifying financial damage to urban and agricultural sectors.
  4. Ecological quantification of flood-induced damage.
  5. Advanced modeling of specific types (groundwater, glacial lake outbursts, sedimentation) and compounding flood events.
  6. Responsible advancement of AI-based modeling.
  7. Enhanced assimilation of multi-source data (drones, crowdsourcing).
  8. Investigation of the joint impact of multiple compounding flood types.

Contributions

• Provides a comprehensive 50-year retrospective of flood modeling evolution.
• Establishes a strategic roadmap for the next generation of flood research, emphasizing interdisciplinary integration (economics, ecology, health) and the adoption of emerging technologies like AI and high-resolution remote sensing.

Funding

• Not specified in the provided text.

Citation

@article{Li2025Societal,
  author = {Li, Zhi and Gorelick, Steven M.},
  title = {Societal and environmental interconnections: future directions for flood inundation models},
  journal = {Environmental Research Letters},
  year = {2025},
  doi = {10.1088/1748-9326/ae21f4},
  url = {https://doi.org/10.1088/1748-9326/ae21f4}
}

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