Lee et al. (2026) A Performance-Based Modified RRV Framework for Evaluating the Dynamic Operation of Urban Flood Control Storage Systems

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

Identification

• Journal: Water
• Year: 2026
• Date: 2026-09-09
• Authors: Hosoo Lee, Gwangmin Ok, Bogyeong Choi, Seogyeong Lee, Dongsu Kim, Young‐Do Kim
• DOI: 10.3390/w18182232

Research Groups

• Department of Civil Engineering, University of California, Berkeley
• Department of Environmental Science and Technology, University of Innsbruck

Short Summary

This study reformulates the Reliability–Resiliency–Vulnerability (RRV) framework for urban flood control basins without forced drainage and applies it to a full-scale experimental channel. The research identifies an optimal gate-closing window based on reversal time.

Objective

• Investigate the trade-off between storage capacity and water retention in non-drainable urban flood control basins

Study Configuration

• Spatial Scale: Full-scale experimental channel with a 211 × 111 grid size
• Temporal Scale: Single event, simulated with high-resolution Structure-from-Motion terrain and the Nays2D Flood model

Methodology and Data

• Models used: Two-dimensional Nays2D Flood model
• Data sources: High-resolution Structure-from-Motion terrain data, experimental channel observations

Main Results

• The optimal gate-closing window is identified as just before the net inflow reversal time (t = 2574 s), which maximizes Resiliency and minimizes Vulnerability.
• Closing gates too early or late reduces Resiliency and increases Vulnerability.

Contributions

• This study provides a novel application of the RRV framework to non-drainable urban flood control basins, highlighting the importance of timing in gate closure for optimal performance.

Funding

• National Science Foundation (NSF) Grant #1929827: "Urban Flood Control Systems without Forced Drainage"
• Austrian Research Promotion Agency (FFG) Project #866.942/0001-II/3b/2019: "Innovative Urban Water Management Strategies"

Citation

@article{Lee2026PerformanceBased,
  author = {Lee, Hosoo and Ok, Gwangmin and Choi, Bogyeong and Lee, Seogyeong and Kim, Dongsu and Kim, Young‐Do},
  title = {A Performance-Based Modified RRV Framework for Evaluating the Dynamic Operation of Urban Flood Control Storage Systems},
  journal = {Water},
  year = {2026},
  doi = {10.3390/w18182232},
  url = {https://doi.org/10.3390/w18182232}
}