Robust estimators for free surface turbulence characterization: A stepped spillway application

  • Robust estimators are parameters insensitive to the presence of outliers. However, they presume the shape of the variables’ probability density function. This study exemplifies the sensitivity of turbulent quantities to the use of classic and robust estimators and the presence of outliers in turbulent flow depth time series. A wide range of turbulence quantities was analysed based upon a stepped spillway case study, using flow depths sampled with Acoustic Displacement Meters as the flow variable of interest. The studied parameters include: the expected free surface level, the expected fluctuation intensity, the depth skewness, the autocorrelation timescales, the vertical velocity fluctuation intensity, the perturbations celerity and the one-dimensional free surface turbulence spectrum. Three levels of filtering were utilised prior to applying classic and robust estimators, showing that comparable robustness can be obtained either using classic estimators together with an intermediate filtering technique or using robust estimators instead, without any filtering technique.

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Metadaten
Author:Daniel ValeroORCiD, Hubert Chanson, Daniel Bernhard BungORCiD
DOI:https://doi.org/10.1016/j.flowmeasinst.2020.101809
ISSN:0955-5986
Parent Title (English):Flow Measurement and Instrumentation
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Article
Language:English
Year of Completion:2020
Date of the Publication (Server):2020/10/07
Volume:76
Issue:Art. 101809
Link:https://doi.org/10.1016/j.flowmeasinst.2020.101809
Zugriffsart:campus
Institutes:FH Aachen / Fachbereich Bauingenieurwesen
collections:Verlag / Elsevier