Mim et al. (2026) Identification of Homogeneous Regions by Cluster Analysis in New South Wales Australia for Regional Flood Frequency Analysis

Identification

• Journal: Lecture notes in civil engineering
• Year: 2026
• Date: 2026-01-01
• Authors: Sadia T. Mim, Hasan Abidur Rahaman, Nadia Afrin, Ridwan S. M. H. Rafi, Ataur Rahman
• DOI: 10.1007/978-3-032-18708-6_14

Research Groups

• Department of Civil Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh
• CARE Bangladesh, Ukhiya Field Office, Paschim Morichya, Morichya Palong-4750, Ukhiya, Cox’s Bazar, Bangladesh
• Independent Researcher, Dhaka, Bangladesh
• Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh
• School of Engineering, Design and Built Environment, Western Sydney University, Sydney, New South Wales, Australia

Short Summary

This study identifies homogeneous regions in New South Wales, Australia, using cluster analysis on data from 176 catchments to improve Regional Flood Frequency Analysis (RFFA) by demonstrating a reduction in model error.

Objective

• To identify homogeneous regions in New South Wales, Australia, for Regional Flood Frequency Analysis (RFFA) using cluster analysis.
• To assess the effectiveness of cluster analysis in reducing model error in RFFA.

Study Configuration

• Spatial Scale: New South Wales (NSW), Australia, utilizing data from 176 catchments.
• Temporal Scale: Historical flood event data for frequency analysis; specific duration not explicitly stated but implies a period sufficient for flood frequency analysis.

Methodology and Data

• Models used: Cluster analysis (a multivariate statistical technique).
• Data sources: Flood data collected from 176 catchments across New South Wales, Australia.

Main Results

• Cluster analysis successfully identified two distinct homogeneous regions within the 176 NSW catchments.
• The median relative error values for the two groups formed by cluster analysis were found to be smaller than those of the combined dataset.
• The application of cluster analysis effectively reduced the overall model error in Regional Flood Frequency Analysis (RFFA).

Contributions

• Provides a practical application of cluster analysis for delineating homogeneous regions in New South Wales, Australia, specifically for Regional Flood Frequency Analysis.
• Demonstrates that the use of cluster analysis can significantly reduce model error in RFFA, leading to more precise flood quantile estimates, particularly valuable for regions with limited long-term flood data.

Funding

No specific funding information was provided in the paper text.

Citation

@article{Mim2026Identification,
  author = {Mim, Sadia T. and Rahaman, Hasan Abidur and Afrin, Nadia and Rafi, Ridwan S. M. H. and Rahman, Ataur},
  title = {Identification of Homogeneous Regions by Cluster Analysis in New South Wales Australia for Regional Flood Frequency Analysis},
  journal = {Lecture notes in civil engineering},
  year = {2026},
  doi = {10.1007/978-3-032-18708-6_14},
  url = {https://doi.org/10.1007/978-3-032-18708-6_14}
}