Chen (2026) BGGI flood resilience data

Identification

• Journal: Mendeley Data
• Year: 2026
• Date: 2026-02-02
• Authors: Bilin Chen
• DOI: 10.17632/m7jkmprf74.1

Research Groups

Bilin Chen

Short Summary

This dataset provides phased-dependent flood resilience data, encompassing flood dynamics indicators simulated by MIKE FLOOD and BGGI spatial attribute indicators calculated using GIS, intended for urban landscape and flood studies.

Objective

• To provide a comprehensive dataset for analyzing phased-dependent flood resilience, specifically including simulated flood dynamics and derived BGGI spatial attributes.

Study Configuration

• Spatial Scale: Urban landscape (specific geographic extent not detailed).
• Temporal Scale: Phased dependent (specific duration or frequency not detailed).

Methodology and Data

• Models used: MIKE FLOOD (for flood dynamics simulation), GIS (for BGGI spatial attribute calculation).
• Data sources: Simulated data from MIKE FLOOD and GIS, comprising flood dynamics indicators and BGGI spatial attribute indicators.

Main Results

• The dataset comprises flood dynamics indicators, which quantify various aspects of flood behavior, and BGGI (Blue-Green Infrastructure) spatial attribute indicators, which describe the spatial characteristics relevant to flood resilience. These indicators are organized to reflect phased dependencies.

Contributions

• This dataset offers a novel resource for researchers studying urban flood resilience by integrating both flood dynamics and BGGI spatial attributes in a phased-dependent manner, which is crucial for understanding dynamic resilience over time.

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/m7jkmprf74.1},
  url = {https://doi.org/10.17632/m7jkmprf74.1}
}