Warraich et al. (2026) Regional Flood Frequency Analysis Using Basin Proximity Concept

Identification

• Journal: Lecture notes in civil engineering
• Year: 2026
• Date: 2026-01-01
• Authors: Maryam Warraich, Laura Rima, Khaled Haddad, Mohammad A. Alim, Ataur Rahman
• DOI: 10.1007/978-3-032-18708-6_2

Research Groups

School of Engineering, Design and Built Environment, Western Sydney University, Sydney, NSW, Australia

Short Summary

This study proposes and evaluates a "nearby basin concept" for forming homogeneous groups in Regional Flood Frequency Analysis (RFFA) to estimate flood quantiles at ungauged sites. It demonstrates that grouping catchments based on basin proximity significantly improves flood prediction accuracy in southeast Australia.

Objective

• To investigate and apply the "nearby basin concept" for forming homogeneous groups of catchments in Regional Flood Frequency Analysis (RFFA) to improve the estimation of flood quantiles at ungauged sites.

Study Configuration

• Spatial Scale: Multiple river basins (201, 203, 204, 206, 207, 208, 209, 210, 211, 212, 215, 218, 219, 220, 221, 222, 416, 418, 419, 405, 406, 407, 421) across southeast Australia, grouped into 5 distinct sets based on proximity.
• Temporal Scale: Not explicitly stated, but implies the use of historical flood and catchment data for frequency analysis.

Methodology and Data

• Models used: Quantile Regression Technique (QRT).
• Data sources: Flood and catchment data from southeast Australia.

Main Results

• The application of the "nearby basin concept" for forming homogeneous groups significantly improved model prediction in Regional Flood Frequency Analysis (RFFA).
• This improvement was validated using a leave-one-out validation approach.

Contributions

• Introduces and validates the "nearby basin concept" as an effective method for forming homogeneous groups in RFFA.
• Offers an improved approach for estimating flood quantiles at ungauged sites by leveraging basin proximity, potentially outperforming traditional grouping methods based solely on geographic boundaries or catchment attributes.

Funding

• Not specified in the provided text.

Citation

@article{Warraich2026Regional,
  author = {Warraich, Maryam and Rima, Laura and Haddad, Khaled and Alim, Mohammad A. and Rahman, Ataur},
  title = {Regional Flood Frequency Analysis Using Basin Proximity Concept},
  journal = {Lecture notes in civil engineering},
  year = {2026},
  doi = {10.1007/978-3-032-18708-6_2},
  url = {https://doi.org/10.1007/978-3-032-18708-6_2}
}