Publication Date:
2013-06-30
Description:
The Grubbs-Beck test [ Grubbs and Beck , 1972] is recommended by the federal guidelines for detection of low outliers in flood flow frequency computation in the United States [ IACWD , 1982]. This paper presents a generalization of the Grubbs-Beck test for normal data (similar to the Rosner [1983] test; see also Spencer and McCuen [1996] that can provide a consistent standard for identifying multiple potentially-influential low flows. In cases where low outliers have been identified, they can be represented as “less-than” values, and a frequency distribution can be developed using censored-data statistical techniques, such as the Expected Moments Algorithm [ Cohn et al ., 1997]. This approach can improve the fit of the right-hand tail of a frequency distribution and provide protection from lack-of-fit due to unimportant but potentially influential low flows (PILFs) in a flood series, thus making the flood frequency analysis procedure more robust.
Print ISSN:
0043-1397
Electronic ISSN:
1944-7973
Topics:
Architecture, Civil Engineering, Surveying
,
Geography
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