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| Titel |
Probability distributions for explaining hydrological losses in South Australian catchments |
| VerfasserIn |
S. H. P. W. Gamage, G. A. Hewa, S. Beecham |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 11 ; Nr. 17, no. 11 (2013-11-15), S.4541-4553 |
| Datensatznummer |
250085997
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| Publikation (Nr.) |
 copernicus.org/hess-17-4541-2013.pdf |
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| Zusammenfassung |
| Accurate estimation of hydrological losses is required for making vital
decisions in design applications that are based on design rainfall models
and rainfall–runoff models. The use of representative single values of
hydrological losses, despite their wide variability, is common practice,
especially in Australian studies. This practice leads to issues such as over
or under estimation of design floods. The probability distribution method is
potentially a better technique to describe losses. However, a lack of
understanding of how losses are distributed can limit the use of this
technique. This paper aims to identify a probability distribution function
that can successfully describe hydrological losses of a catchment of
interest. The paper explains the systematic process of identifying
probability distribution functions, the problems faced during the
distribution fitting process and a new generalised method to test the
adequacy of fitted distributions. The goodness-of-fit of the fitted
distributions are examined using the Anderson–Darling test and the Q–Q plot
method and the errors associated with quantile estimation are quantified by
estimating the bias and mean square error (MSE). A two-parameter gamma
distribution was identified as one that successfully describes initial loss
(IL) data for the selected catchments. Further, non-parametric standardised
distributions that describe both IL and continuing loss data are also
identified. This paper will provide a significant contribution to the
Australian Rainfall and Runoff (ARR) guidelines that are currently being
updated, by improving understanding of hydrological losses in South
Australian catchments. More importantly, this study provides new knowledge
on how IL in a catchment is characterised. |
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