Evaluating Annual Maximum and Partial Duration Series for Estimating Frequency of Small Magnitude Floods

摘要: Understanding the nature of frequent floods is important for characterising channel morphology, riparian and aquatic habitat, informing river restoration efforts. This paper presents results from an analysis on frequency estimates low magnitude using annual maximum partial series data compared to actual flood series. Five distribution models were fitted 24 gauging stations in Great Barrier Reef (GBR) lagoon catchments north-eastern Australia. Based goodness fit test, Generalised Extreme Value, Pareto Log Pearson Type 3 used estimate frequencies across study region. Results suggest based a are better, series, small medium floods, while both methods produce similar large floods. Although converge at higher recurrence interval, convergence interval varies between catchments. also vary slightly two or more depending threshold, differences that experience less While produces better estimates, it can underestimate overestimate if threshold differs largely bankfull discharge. These have significant implications calculating dependency floodplain ecosystems flooding their subsequent management.