Abstract
Flood is one of the most pervasive natural hazards to impact negatively upon the human beings. During 2010-2011 Queensland state of Australia experienced one of the worst flood events in Australia's history causing over $5 billion damage and 31 deaths. To minimise the risk, impact and damage due to flood, it is important to understand the causes of such flood and, frequency of occurrence. Due to climate and/or land use change, hydrological characteristics of the catchment may change; consequently, flood data may show trends. If there is significant trend in the observed flood data, stationary flood frequency analysis cannot be applied for design flood estimation. Statistical tests are used to identify trend in time-series data. In this paper, trend analysis has been carried out on Brisbane River catchment of Queensland, Australia. A total of 26 stations are selected with annual maximum flood data with record length ranging from 20 to 87 years. Twelve different trend tests including non-parametric Mann-Kendall (MK) test and Spearman's Rho (SR) test are applied to examine the trends in the annual maximum flood data of the selected stations. The identified trends are discussed in this paper. It has been found that only few stations show statistically significant trends for the selected stations.
| Original language | English |
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| Title of host publication | Proceedings of the 2nd International Conference on Water and Environmental Engineering (iCWEE-2019), 19-22 January 2019, Dhaka, Bangladesh |
| Publisher | Science, Technology and Management Crest Australia |
| Pages | 199-209 |
| Number of pages | 11 |
| 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
- Brisbane (Qld.)
- floods
- climatic changes
- data processing