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Rahman, A.S. and Rahman, A. (2020) Application of Principal Component Analysis and Cluster Analysis in Regional Flood Frequency Analysis: A Case Study in New South Wales, Australia. Water (Switzerland), 12, 781.
https://doi.org/10.3390/w12030781

has been cited by the following article:

• TITLE: Flood Change Detection and Attribution Using Simulation Approach in Data-Scarce Watersheds: A Case of Wabi Shebele River Basin, Ethiopia

  AUTHORS: Fraol Abebe Wudineh, Semu Ayalew Moges, Belete Berhanu Kidanewold

  KEYWORDS: Flood Events, Watersheds, Wabi Shebele River, Hydrological Model, Driving Factors of Flood

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.13 No.5, May 27, 2021

  ABSTRACT: Flood events vary with sub-regions, sites and time and show complex characteristics. This study investigated temporal variabilities in flood discharges and relationships with principal driving factors in data scarce Wabi Shebele River Basin. The preliminary analysis using exploratory data analysis (EDA) on annual and seasonal maximum discharge reveals that there are cycles of extreme flows at five- and ten-year intervals respectively throughout the basin. The statistical verification using the Mann-Kendall test and Quantile perturbation method indicates a significant trend in flood magnitude and frequency entire the basin in the early 21st century. For longest period (1980-2010) annual maximum stream flow shows significant positive trend (p-value