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An inventory of the lateral input for the Sea Scheldt
Deneudt, K.; Vanden Berghe, E.; Mees, J. (2002). An inventory of the lateral input for the Sea Scheldt, in: Goethals, P. et al. Ecological informatics applications in water management conference, Gent (Belgium), 6-7 November 2002: Abstract book. pp. 12
In: Goethals, P.; De Pauw, N. (2002). Ecological informatics applications in water management conference, Gent (Belgium), 6-7 November 2002: Abstract book. International Society for Ecological Informatics: Gent. 44 pp.
Cover
Available in  Authors 
    Vlaams Instituut voor de Zee: Open Marine Archive 125505 [ download pdf ]
Document type: Summary
Keywords
    Collections > Data collections
    Data
    Information systems > GIS
    Particulates > Suspended particulate matter
    Storage > Data storage
    Wastes > Industrial wastes
    Water bodies > Inland waters > Rivers > Tributaries
    Water quality
    ANE, Belgium [Marine Regions]; Belgium, Schelde R. [Marine Regions]
Authors  Top 
  • Deneudt, K.
  • Vanden Berghe, E.
  • Mees, J.
Abstract
    By order of the Waterways and Maritime Affairs Administration, division Sea Scheldt, the Flanders Marine Institute develops a database containing information regarding the lateral input into the Sea Scheldt. Water quality and quantity data of tributaries, industrial discharges and input through locks are gathered and compiled into a cohesive database containing over 1 million measurement values. The main parameters included are flow, biochemical oxygen demand, total suspended matter, Kjehldahl N, nitrate and nitrite, ammonium, oxygen concentration and atmospheric nitrogen deposition. By determination of the XY-coordinates for the different discharge locations, the data are linked to a number of GIS maps in Arcview. The underlying GIS maps are the digitised datasets of the Flemish Hydrographic Atlas. This connection allows for spatial selection of the measuring stations and the emission points of interest. The aim is to provide a well-structured inventory of discharge data that is needed for ecological modelling purposes. The database is made structurally compatible with the OMES-database in which it will be incorporated.
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