MetaData

The NewSTHEPS MetaData catalogue gives an overview of all persons and institutes involved and lists all created datasets and publications coming out of the project.

 

Persons Institutes Publications Datasets

 

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Modelling faecal contamination in the Scheldt drainage network
Ouattara, N.K.; de Brauwere, A.; Billen, G.; Servais, P. (2013). Modelling faecal contamination in the Scheldt drainage network. J. Mar. Syst. 128: 77-88. http://dx.doi.org/10.1016/j.jmarsys.2012.05.004
In: Journal of Marine Systems. Elsevier: Tokyo; Oxford; New York; Amsterdam. ISSN 0924-7963; e-ISSN 1879-1573
Peer reviewed article  
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Trefwoorden
    Escherichia coli Castellani & Chalmers, 1919 [WoRMS]
    Marien/Kust; Brak water; Zoet water
Author keywords
    Microbiological water quality; Escherichia coli; Modelling; Scheldt river drainage network; Scenarios
Auteurs  Top 
  • Ouattara, N.K.
  • de Brauwere, A.
  • Billen, G.
  • Servais, P.
Abstract
    This study developed a model simulating the seasonal and spatial variations of microbiological water quality (expressed in terms of Escherichia coli concentrations) in rivers. The model (SENEQUE-EC) consists of a microbiological module appended to a hydro-ecological model describing the functioning of the entire Scheldt drainage network. The microbiological module describes the sources of E. coli, their transport and the processes responsible for the fate of E. coli once released into the natural environment (mortality, settling and resuspension). This model differentiates the dynamics of three types of E. coli: free-floating E. coli, E. coli attached to suspended solids in the water column and E. coli present in sediments. The model was verified by comparison of its results with temporal and spatial distributions of field data in different stretches of rivers of the Scheldt drainage network. It was then used to test various scenarios involving diverse modifications in wastewater management, which was shown to be the most determining factor of microbiological water quality. Due to its low temporal resolution, the SENEQUE-EC is poorly adapted to describing the microbiological quality in areas under tidal influence. Therefore, the data of the SENEQUE-EC model were used as upstream boundary conditions to run a microbiological model with a high temporal resolution devoted to the tidal Scheldt River and Estuary (the SLIM-EC2 model).
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