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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Water, air & soil pollution 92 (1996), S. 289-313 
    ISSN: 1573-2932
    Keywords: Sulphur pollution ; geostatistics ; Russia ; spatial variability ; GIS ; probability maps
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract Soils around sulphur producing factories may be contaminated with increased Sulphur, Vanadium and Arsenic caused by industrial fall-out. In this study, attention is focused on the pollution around an isolated factory in Russia. Soils, water in ponds and plants have been sampled in different landscape units and at different distances from the factory. An analysis of variance was used to detect the spatial impact of the major polluting factors. Geostatistical procedures were applied to construct probability maps for the exceedance of critical environmental levels. Mineral sulphur, which does barely occur in unpolluted chernozems shows a clear spatial structure, whereas Arsenic and Vanadium did not show any spatial dependencies. Highest values in the soil were observed at 1–2 km from the factory, and are probably caused by the spread from the factory chimney. By means of this study it was possible to estimate the pollution effects of an isolated factory without disturbances from other pollution sources.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Water, air & soil pollution 101 (1998), S. 217-234 
    ISSN: 1573-2932
    Keywords: cyanide ; geostatistics ; GIS ; PAH ; soft data
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract In the practice of soil remediation, organoleptic observations such as the smell or the colour of contaminated soil play an important role when determining well-defined volumes of contaminated soil. A GIS is then used to combine quantitative measurements with such soft data. In this study general procedures concerning how to deal with this type of observations are presented. The procedures were applied to a former gas works site, which was contaminated with cyanide and polycyclic aromatic hydrocarbons in the Netherlands. The volume of contaminated soil was determined. Use of soft data reduced the uncertainty in the volume of contaminated soil with 4 to 16%.
    Type of Medium: Electronic Resource
    Location Call Number Limitation Availability
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