articleInternational Journal of Engineering & TechnologyApr 16, 2026DIAMOND OA

Identifying homogeneous rainfall catchments for non- stationary time series using tops is algorithm and bootstrap k-sample Anderson darling test

ZLZun Liang ChuanNINoriszura IsmailWYWan Yusoff Wan Nur SyahidahSFSoo-Fen FamMRM. R. M. Akramin

Universiti Malaysia Pahang Al-Sultan Abdullah · Technical University of Malaysia Malacca

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Abstract

The reliability of extreme estimates of hydro-meteorological events such as extreme rainfalls may be questionable due to limited historical rainfall records. The problem of limited rainfall records, however, can be overcome by extrapolating information from gauged to ungauged rainfall catchments, which requires information on the homogeneity among rainfall catchments. The purpose of this study is to introduce a new regionalization algorithm to identify the most suitable agglomerative hierarchical clustering (AHC) algorithm and the optimum number of homogeneous rainfall catchments for non-stationary rainfall time series. The new algorithm is based on the Technique for Order of Preference by Similarity to Ideal…

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Topics & keywords

Topics
Keywords
  • Cluster analysis
  • Mathematics
  • Homogeneous
  • Algorithm
  • TOPSIS
  • Homogeneity (statistics)
  • Series (stratigraphy)
  • Statistics
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