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Improving at-site flood frequency analysis with additional spatial information: a probabilistic regional envelope curve approach
Improving at-site flood frequency analysis with additional spatial information: a probabilistic regional envelope curve approach
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Improving at-site flood frequency analysis with additional spatial information: a probabilistic regional envelope curve approach
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Improving at-site flood frequency analysis with additional spatial information: a probabilistic regional envelope curve approach
Improving at-site flood frequency analysis with additional spatial information: a probabilistic regional envelope curve approach

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Improving at-site flood frequency analysis with additional spatial information: a probabilistic regional envelope curve approach
Improving at-site flood frequency analysis with additional spatial information: a probabilistic regional envelope curve approach
Journal Article

Improving at-site flood frequency analysis with additional spatial information: a probabilistic regional envelope curve approach

2017
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Overview
Extreme flood events have detrimental effects on society, the economy and the environment. Widespread flooding across South East Queensland in 2011 and 2013 resulted in the loss of lives and significant cost to the economy. In this region, flood risk planning and the use of traditional flood frequency analysis (FFA) to estimate both the magnitude and frequency of the 1-in-100 year flood is severely limited by short gauging station records. On average, these records are 42 years in Eastern Australia and many have a poor representation of extreme flood events. The major aim of this study is to test the application of an alternative method to estimate flood frequency in the form of the Probabilistic Regional Envelope Curve (PREC) approach which integrates additional spatial information of extreme flood events. In order to better define and constrain a working definition of an extreme flood, an Australian Envelope Curve is also produced from available gauging station data. Results indicate that the PREC method shows significant changes to the larger recurrence intervals (≥100 years) in gauges with either too few, or too many, extreme flood events. A decision making process is provided to ascertain when this method is preferable for FFA.