Abstract
![CDATA[Identification of an appropriate statistical distribution is a fundamental step in Regional Flood Frequency Analysis (RFFA) that finds the most appropriate distribution to the observed annual maximum flood data and lead to accurate quantile at a single site. Parameter regression technique (PRT) is a regression technique that relates the parameters of a probability distribution (i.e. location, scale and shape to the mean, standard deviation and skewness of the flood data) to catchment characteristics. The Generalised extreme value (GEV) and Log Pearson type III (LP 3) distributions have been identified by several studies as the top best-fit distributions in RFFA. However, in Australia, P RT-GEV method has not been tested for RFFA. In this paper, GEV distribution has been investigated and its parameters have been estimated using L-moments for 176 catchments from New South Wales (NSW), 186 catchments from Victoria and 196 catchments from Queensland (QLD). Goodness of fit tests and L-moment ratio diagram were used to examine how GEV can fit the maximum flow data. It has been found that most of the catchments are dominated by negative shape parameters. GEV with L-moments seemed to be good candidate distribution to fit annual maximum flood data for NSW, QLD and VIC.]]
| Original language | English |
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| Title of host publication | Proceedings of the 2nd International Conference on Water and Environmental Engineering (iCWEE2019), 19-22 January 2019, Dhaka, Bangladesh |
| Publisher | Science, Technology and Management Crest Australia |
| Pages | 275-287 |
| Number of pages | 13 |
| ISBN (Print) | 9780648268116 |
| Publication status | Published - 2019 |
| Event | International Conference on Water and Environmental Engineering - Duration: 19 Jan 2019 → … |
Conference
| Conference | International Conference on Water and Environmental Engineering |
|---|---|
| Period | 19/01/19 → … |
Keywords
- flood forecasting
- mathematical models
- Australia, Southeastern