Development of a kriging-based regional flood frequency analysis technique for South-East Australia

Abstract Flood is one of the most common natural disasters, which also triggers other disasters such as erosion and landslides. damage can be minimised by ensuring optimum design drainage infrastructure flood management tasks, depends largely on reliable estimation quantiles. This study investigates quantile in ungauged catchments using a kriging-based regional frequency analysis (RFFA) technique. Three main research objectives are addressed this study. Firstly, RFFA models developed 558 from eastern Australia range frequent to rare quantiles (2, 5, 10, 20, 50 100 years average recurrence intervals (ARIs)). Secondly, validation adopting leave-one-out (LOO) technique undertaken identify best worst performing across Australia. Finally, detailed comparison made for with generalised least-squares-based regression technique, known ‘RFFE model 2016’ same dataset evaluate whether there general patterns performance different catchments. The shows that (a) viable alternative catchments, (b) 10-year ARI Q 10 performs among six quantiles, followed 5 20 , (c) found outperform 2016’.