Power-Law flood frequency analysis of selected Queensland stream gauges

Moes, Denika (2015) Power-Law flood frequency analysis of selected Queensland stream gauges. [USQ Project]


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Flood Frequency Analysis is key to the prediction of frequency and magnitude of extreme flood events in given catchments. Floods can cause millions of dollars damage to communities and since it is important to have adequate flood protection measures, it is desirable to obtain accurate estimates of flood recurrence.

The aim of this project is to investigate the suitability of the Power Law frequency model as a more accurate way of the peak discharges of flood events. Using two goodness of fit tests, the Chi-Squared test and the R-Squared test, the Power Law relationship has been tested against the more conventional methods used in Australian, the Log Pearson type 3 distribution and the exponential distribution for ten stream gauge stations located throughout Queensland.

The results of the analysis of the ten stream gauges found that generally the Log Pearson type 3 distribution was more accurate in predicting the peak discharges of the observed historical flows for sites of which the floods are expected to occur in intervals greater than ten years. The Power Law frequency model however produces a more conservative estimate for the return period of the larger floods and hence increasing the estimated likelihood of severe floods.

Therefore the use of the Power Law relationship as procedure for flood frequency analysis for the extreme events would create more conservative infrastructure designs and land use restrictions.

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Item Type: USQ Project
Item Status: Live Archive
Additional Information: Bachelor of Engineering: Civil project
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021)
Supervisors: Brodie, Ian
Date Deposited: 07 Jun 2016 05:19
Last Modified: 07 Jun 2016 05:19
Uncontrolled Keywords: Flood Frequency Analysis, Power-Law, Log-Pearson
Fields of Research (2008): 09 Engineering > 0905 Civil Engineering > 090599 Civil Engineering not elsewhere classified
Fields of Research (2020): 40 ENGINEERING > 4005 Civil engineering > 400599 Civil engineering not elsewhere classified
URI: https://sear.unisq.edu.au/id/eprint/29294

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