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Magnitude frequency analysis of small floods using the annual and partial series

Citation

Keast, D and Ellison, J, Magnitude frequency analysis of small floods using the annual and partial series, Water, 5, (4) pp. 1816-1829. ISSN 2073-4441 (2013) [Refereed Article]


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Licensed under Creative Commons Attribution 3.0 Unported (CC BY 3.0) http://creativecommons.org/licenses/by/3.0/

DOI: doi:10.3390/w5041816

Abstract

Flood frequency analysis using partial series data has been shown to provide better estimates of small to medium magnitude flood events than the annual series, but the annual series is more often employed due to its simplicity. Where partial series average recurrence intervals are required, annual series values are often "converted" to partial series values using the Langbein equation, regardless of whether the statistical assumptions behind the equation are fulfilled. This study uses data from Northern Tasmanian stream-gauging stations to make empirical comparisons between annual series and partial flood frequency estimates and values provided by the Langbein equation. At T = 1.1 years annual series estimates were found to be one third the magnitude of partial series estimates, while Langbein adjusted estimates were three quarters the magnitude of partial series estimates. The three methods converged as average recurrence interval increased until there was no significant difference between the different methods at T = 5 years. These results suggest that while the Langbein equation reduces the differences between the quantile estimates of annual maxima derived from annual maxima series and partial duration series flood frequency estimates, it does not provide a suitable alternative method to using partial series data. These results have significance for the practical estimation of the magnitude-frequency of small floods.

Item Details

Item Type:Refereed Article
Keywords:flood frequency, annual series, partial series, North-Eastern Tasmania
Research Division:Environmental Sciences
Research Group:Environmental Science and Management
Research Field:Environmental Science and Management not elsewhere classified
Objective Division:Environment
Objective Group:Land and Water Management
Objective Field:Land and Water Management of environments not elsewhere classified
Author:Keast, D (Mr David Keast)
Author:Ellison, J (Dr Joanna Ellison)
ID Code:88465
Year Published:2013
Web of Science® Times Cited:3
Deposited By:Geography and Environmental Studies
Deposited On:2014-02-04
Last Modified:2014-08-06
Downloads:156 View Download Statistics

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