Title: Improving surface–subsurface water budgeting using high resolution satellite imagery applied on a brownfield
Authors: Dujardin, Juliette ×
Batelaan, Okke
Canters, Frank
Boel, S.
Anibas, C.
Bronders, J. #
Issue Date: 15-Jan-2011
Publisher: Elsevier Pub. Co.
Series Title: Science of the Total Environment vol:409 issue:4 pages:800-809
Abstract: The estimation of surface–subsurface water interactions is complex and highly variable in space and time. It is
even more complex when it has to be estimated in urban areas, because of the complex patterns of the landcover
in these areas. In this research a modeling approach with integrated remote sensing analysis has been
developed for estimating water fluxes in urban environments. The methodology was developed with the aim
to simulate fluxes of contaminants from polluted sites. Groundwater pollution in urban environments is
linked to patterns of land use and hence it is essential to characterize the land cover in a detail. An objectoriented
classification approach applied on high-resolution satellite data has been adopted. To assign the
image objects to one of the land-cover classes a multiple layer perceptron approach was adopted (Kappa of
0.86). Groundwater recharge has been simulated using the spatially distributed WetSpass model and the
subsurface water flow using MODFLOW in order to identify and budget water fluxes. The developed
methodology is applied to a brownfield case site in Vilvoorde, Brussels (Belgium). The obtained land use map
has a strong impact on the groundwater recharge, resulting in a high spatial variability. Simulated
groundwater fluxes from brownfield to the receiving River Zenne were independently verified by
measurements and simulation of groundwater-surface water interaction based on thermal gradients in the
river bed. It is concluded that in order to better quantify total fluxes of contaminants from brownfields in the
groundwater, remote sensing imagery can be operationally integrated in a modeling procedure.
ISSN: 0048-9697
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division of Geology
Division of Geography & Tourism
× corresponding author
# (joint) last author

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