Abstract
![CDATA[Flood frequency analysis (FFA) is a widely used statistical technique for estimating design floods, which is required for the management of water projects and the design of hydraulic structures. Sometimes, the annual maximum flood (AMF) data series contains low flow observations, and the presence of these small observations can cause major problems in fitting an appropriate probability distribution and selecting a statistical model in AMF data series modelling. This paper examines the effects of low flows on flood frequency distributions and how censoring these values can affect the flood quantiles estimates. A total of 183 catchments from Victoria in Eastern Australia are selected and Generalised Extreme Value (GEV) and Log Pearson type III (LP3) distributions are used. Furthermore, the multiple Grubbs and Beck (MGB) test is used to identify low flows in the selected AMF data using FLIKE software. It was found that 72% of the catchments required censoring of low flows using LP3 distribution. Also, censoring low flows with MGB test provided a more accurate fitting of the LP3 distribution to the AMF data. Thus, it is strongly recommended that low flows be censored in FFA using LP3 distribution since they can affect the accuracy of the quantile estimates.]]
| Original language | English |
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| Title of host publication | Proceedings of the 3rd International Conference on Water and Environmental Engineering (iCWEE-2022), 27-30 November 2022, Sydney, Australia |
| Publisher | Science Technology and Management Crescent Australia |
| Pages | 123-129 |
| Number of pages | 7 |
| ISBN (Print) | 9780645669206 |
| Publication status | Published - 2022 |
| Event | International Conference on Water and Environmental Engineering - Duration: 27 Nov 2022 → … |
Conference
| Conference | International Conference on Water and Environmental Engineering |
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| Period | 27/11/22 → … |