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Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.

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one publication added to basket [115513]

Analysis of high frequency temperature time series in the Seine estuary from the Marel autonomous monitoring buoy Dur, G.; Schmitt, F.G.; Souissi, S. (2007). Analysis of high frequency temperature time series in the Seine estuary from the Marel autonomous monitoring buoy. Hydrobiologia 588(1): 59-68. https://dx.doi.org/10.1007/s10750-007-0652-3 In: Hydrobiologia. Springer: The Hague. ISSN 0018-8158; e-ISSN 1573-5117, meer Ook verschenen in: Lafite, R.; Garnier, J.; De Jonge, V.N. (Ed.) (2007). Consequences of estuarine management on hydrodynamics and ecological functioning: ECSA 38th Symposium - Rouen 2004 Co-organisation Seine-Aval Programme and ECSA. Hydrobiologia, 588. Springer: The Netherlands. 302 pp., meer

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Beschikbaar in	Auteurs
VLIZ: Non-open access 353343 [ aanvragen ]

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Trefwoorden

Buoys Data Missing data Monitoring Scaling Temperature differences Water bodies > Coastal waters > Coastal landforms > Coastal inlets > Estuaries Marien/Kust

Author keywords

monitoring buoy; temperature fluctuations; estuary data; high-frequencysampling; scaling; missing data

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Auteurs		Top
Dur, G. Schmitt, F.G. Souissi, S., meer

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Abstract

In the marine sciences, continuous monitoring systems have been regarded as very useful tools to provide continuous high frequency measurements of many parameters. We analyse here a high frequency time series of temperature measurements recorded every 10 min between 1997 and 2004 in the macro tidal Seine estuary (France) by a Marel buoy, an automatic monitoring network for littoral environment. We have adapted multi-scale data analysis methods to deal with the many missing values present in the time series. A power spectral density analysis is performed over time scales spanning 5 decades, from 20 min to more than 7 years. A scale invariant behaviour of the form E (f) = f-ß with β = 2.2 is revealed for scales below 5 h. Over this scaling range, we have performed structure functions analysis, and shown that the Seine river temperature data exhibit turbulent-like intermittent properties, with multifractal statistics. The multifractal exponents obtained possess some similarities with passive scalar turbulence results.

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