Chen (2026) BGGI flood resilience data

Identification

• Journal: Mendeley Data
• Year: 2026
• Date: 2026-02-12
• Authors: Chen, Bilin
• DOI: 10.17632/m7jkmprf74.2

Research Groups

Bilin Chen's research group

Short Summary

This dataset provides phased-dependent flood resilience data, encompassing flood dynamics indicators simulated by MIKE FLOOD and BGGI spatial attribute indicators derived from GIS analysis.

Objective

• To provide a comprehensive dataset of phased-dependent flood resilience indicators, including flood dynamics and BGGI spatial attributes, for urban landscape analysis.

Study Configuration

• Spatial Scale: Urban landscape
• Temporal Scale: Phased dependent (specific durations not detailed)

Methodology and Data

• Models used: MIKE FLOOD (for flood dynamics), GIS (for BGGI spatial attribute calculation)
• Data sources: Simulated flood dynamics indicators, calculated BGGI spatial attribute indicators

Main Results

• A dataset comprising phased-dependent flood dynamics indicators and BGGI spatial attribute indicators, available for download, designed to support urban flood resilience studies.

Contributions

• Provision of a novel, integrated dataset for urban flood resilience studies, combining simulated flood dynamics with GIS-derived BGGI spatial attributes, which can support further research and planning.

Funding

Not specified in the provided text.

Citation

@article{Chen2026BGGI,
  author = {Chen, Bilin},
  title = {BGGI flood resilience data},
  journal = {Mendeley Data},
  year = {2026},
  doi = {10.17632/m7jkmprf74.2},
  url = {https://doi.org/10.17632/m7jkmprf74.2}
}