Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 362752
Title Heavy metal concentrations in the topsoils of 'Achterhoek-Kreis Borken'. Mapping across the Duth-German border.
Author(s) Knotters, M.; Brus, D.J.; Heidema, A.H.
Source Wageningen : Alterra (Alterra-rapport 1455) - 96
Department(s) Soil Science Centre
ALTERRA Wageningen UR
Publication type Scientific report
Publication year 2007
Keyword(s) bodemkarteringen - bodemchemie - zware metalen - samenwerking - meting - grensgebieden - modellen - noordrijn-westfalen - achterhoek - soil surveys - soil chemistry - heavy metals - cooperation - measurement - frontier areas - models - north rhine-westphalia
Categories Land Evaluation / Soil Chemistry
Abstract In the Dutch part of the area, heavy metal concentrations were measured at 113 locations and in the German part at 832 locations. For the Dutch part, spatially exhaustive ancillary information on clay content, organic matter content and pH is provided by the Dutch Soil Information System. For the German part, the Soil Map, 1:50,000, of Nordrhein-Westfalen provides spatially exhaustive information on clay content only. To obtain ancillary information on organic matter content and pH, point observations on organic matter content and pH are extrapolated by using the Soil Map, 1:50,000, of Nordrhein-Westfalen. Besides information on soil conditions, land use is an ancillary variable. The relationships between heavy metal concentrations and ancillary variables is described by multiple linear regression models, taking measurements below the detection limit into account by a maximum-likelihood procedure. Using these regression models, concentrations are predicted at a 25x25 m grid and next the regression residuals are interpolated spatially (Regression+Kriging). The accuracy of spatial predictions is evaluated by cross-validation
There are no comments yet. You can post the first one!
Post a comment
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.