Integrated Marine Informations System - IMIS

Personen | Instituten | Publicaties | Projecten | Datasets | Kaarten
[ meld een fout in dit record ]mandje (0): toevoegen | toon Print deze pagina

Residence time, exposure time and connectivity in the Scheldt Estuary
de Brauwere, A.; de Brye, B.; Blaise, S.; Deleersnijder, E. (2011). Residence time, exposure time and connectivity in the Scheldt Estuary. J. Mar. Syst. 84(3-4): 85-95.
Peer reviewed article  

Beschikbaar in  Auteurs 

    Processes > Exposure
    Residence time
    ANE, Nederland, Westerschelde [Marine Regions]
Author keywords
    Residence time; Exposure time; Connectivity; Return coefficient; Scheldt Estuary; Water renewal

Auteurs  Top 
  • de Brauwere, A., meer
  • de Brye, B., meer
  • Blaise, S., meer
  • Deleersnijder, E., meer

    Residence times and exposure times are computed for 13 boxes in the Scheldt Estuary, using the high-resolution tracer-transport model SLIM. The concepts are clearly defined and related to how they should be computed. First, the timescale values are compared with results published previously that were obtained with a simple box model, and an unexpected difference is revealed. This may suggest that a high-resolution model is necessary, even for the computation of such integrated quantities as residence or exposure times. Secondly, the newly computed residence times are compared to the exposures times to illustrate their intrinsic differences. From this difference, it is possible to propose a return coefficient, expressing the fraction of the exposure time that is due to “returning water”, i.e. water which has already left the estuary at least once. Finally, the estuarine exposure times are decomposed into the different box exposure times, resulting in a connectivity matrix. This matrix expresses how much time is spent in each of the estuarine subdomains during the water parcels' journey through the estuary.

Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs