Kim et al. (2025) At-Site Versus Regional Frequency Analysis of Sub-Hourly Rainfall for Urban Hydrology Applications During Recent Extreme Events

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

Identification

• Journal: Water
• Year: 2025
• Date: 2025-07-24
• Authors: Sunghun Kim, Kyungmin Sung, Ju‐Young Shin, Jun‐Haeng Heo
• DOI: 10.3390/w17152213

Research Groups

Not specified in the provided text.

Short Summary

This study compares at-site and regional frequency analyses for sub-hourly rainfall quantile estimation in Seoul, concluding that regional analysis significantly improves reliability for long-term return periods.

Objective

• To evaluate and compare the performance of at-site frequency analysis versus regional frequency analysis for estimating sub-hourly rainfall quantiles, specifically for 30-year and 100-year return periods, to assess Seoul's disaster prevention standards.

Study Configuration

• Spatial Scale: Urban scale (27 observation sites across Seoul, South Korea).
• Temporal Scale: Sub-hourly (minute-scale) rainfall data.

Methodology and Data

• Models used: L-moment statistics, Monte Carlo simulations, At-site frequency analysis, and Regional frequency analysis.
• Data sources: Minute-scale rainfall observation data from 27 sites.

Main Results

• Regional frequency analysis (RFA) is superior to at-site analysis for larger return periods (10, 30, and 100 years), while at-site analysis is only more effective for short return periods (e.g., 2 years).
• RFA reduced the average 95% confidence interval width by a factor of approximately 2.7, decreasing it from 73.99 mm to 26.98 mm.
• Regionally derived 100-year rainfall estimates consistently exceeded the current 100 mm disaster prevention threshold in most areas, indicating that existing infrastructure may be under-designed.

Contributions

• Provides a quantitative validation of regional frequency analysis over at-site methods for urban flood risk management.
• Highlights the critical importance of using minute-scale data over daily data for accurate urban hydrological modeling.
• Identifies a gap between current urban disaster prevention standards and estimated extreme rainfall risks in Seoul.

Funding

Not specified in the provided text.

Citation

@article{Kim2025AtSite,
  author = {Kim, Sunghun and Sung, Kyungmin and Shin, Ju‐Young and Heo, Jun‐Haeng},
  title = {At-Site Versus Regional Frequency Analysis of Sub-Hourly Rainfall for Urban Hydrology Applications During Recent Extreme Events},
  journal = {Water},
  year = {2025},
  doi = {10.3390/w17152213},
  url = {https://doi.org/10.3390/w17152213}
}