Abstract
![CDATA[In Australia, design flood estimation in smaller ungauged catchments is often carried out using the rational method. Recently, application of quantile regression technique has been investigated in Australia. In contrast to these traditional methods, Artificial Neural Networks (ANNs) can be applied to regional flood frequency analysis (RFFA). The ANNs do not impose a model structure on the data and can better deal with non-linearity of the input and output relationship. This paper focuses on the development and testing of the ANNs based RFFA methods for eastern Australia. A number of alternative regions are tested e.g. (a) each of the states of NSW, Victoria, Queensland and Tasmania is considered to be a separate region; (b) all these states form one region; and (c) summer and winter dominated parts of these states form two separate regions. Independent testing shows that option (b) is the best performing and can provide quite accurate design flood estimates with a median relative error values in the range of 39% to 56%.]]
Original language | English |
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Title of host publication | Balance and Uncertainty: Water in a Changing World: Proceedings of the 34th World Congress of the International Association for Hyrdo-Environment Research and Engineering: 33rd Hydrology and Water Resources Symposium and 10th Conference on Hydraulics in Water Engineering: 26 June to 1 July 2011, Brisbane Convention & Exhibition Centre, Brisbane, Australia |
Publisher | Engineers Australia |
Pages | 17-24 |
Number of pages | 8 |
ISBN (Print) | 9780858258686 |
Publication status | Published - 2011 |
Event | International Association for Hydro-Environment Research and Engineering. World Congress - Duration: 26 Jun 2011 → … |
Conference
Conference | International Association for Hydro-Environment Research and Engineering. World Congress |
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Period | 26/06/11 → … |