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  • 1
    Electronic Resource
    Electronic Resource
    Spatial variability and interpolation of daily precipitation amount (1992)
    Springer
    Stochastic environmental research and risk assessment 6 (1992), S. 209-221 
    Details
    ISSN: 1436-3259
    Keywords: geostatistics ; precipitation ; water balance models ; semivariogram ; kriging ; spatial variation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Energy, Environment Protection, Nuclear Power Engineering , Geography , Geosciences
    Notes: Abstract Daily precipitation amounts show spatial variation over sub-continential regions. Point measurements, representative for regions of land, have to be interpolated towards unobserved locations. In this study four days in 1984 were selected to investigate the spatial variability of daily precipitation amount in North-western Europe in relation to the meteorological conditions. Data were interpolated using Kriging. Crossvalidation was used to compare interpolated values with measured values. Large differences in the spatial structure of daily precipitation amount are obsered as a result of different meterological conditions. Stratification of the study area into a coastal, a mountainous and an interior stratum proved to be successful, reducing the Mean Squared Error of Prediction with up to 55%.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01581451
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Spatial variability and interpolation of daily precipitation amount (1992)
    Springer
    Stochastic environmental research and risk assessment 6 (1992), S. 304-320 
    Details
    ISSN: 1436-3259
    Keywords: geostatistics ; precipitation ; water balance models ; semivariogram ; kriging ; spatial variation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Energy, Environment Protection, Nuclear Power Engineering , Geography , Geosciences
    Notes: Abstract Daily precipitation amounts show spatial variation over sub-continential regions. Point measurements, represntative for regions of land, have to be interpolated towards unobserved locations. In this study four days in 1984 were selected to investigate the spatial variability of daily precipitation amount in north-western Europe in relation to the meteorological conditions. Data were interpolated using kriging. Crossvalidation was used to compare interpolated values with measured values. Large differences in the spatial structure of daily precipitation amount are observed as a result of different meteorological conditions. Stratification of the study area into a coast, a mountain and an interior stratum proved to be successful, reducing the Mean Squared Error of Prediction with up to 55%.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01581623
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    Paper (German National Licenses)
    Fulltext
  • 3
    Electronic Resource
    Electronic Resource
    Use of Wavelets to Compare Simulated Yield Patterns for Precision Agriculture at the Field Scale (2000)
    Springer
    Precision agriculture 2 (2000), S. 333-346 
    Details
    ISSN: 1573-1618
    Keywords: patterns ; wavelets ; simulation ; geostatistics ; precision farming
    Source: Springer Online Journal Archives 1860-2000
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Abstract In this paper spatial patterns of simulated water limited potato production for a farm field in the Netherlands are analyzed using wavelets. The simulated yield patterns are decomposed using wavelets into crystals with a varying resolution. These crystals are used to relate the simulated spatial patterns to weather conditions. We compare simulated yield patterns from 10 successive years to arrive at a prototype patterns that can be used as a basis for site-specific management. Typical patterns for dry and wet years are quantified using wavelets. Wavelets provide a mechanism to distinguish between spatial patterns and allow a quantitative approach for classification of these spatial patterns.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1012347931122
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    Spatial variability of soil contamination around a sulphureous acid producing factory in Russia (1996)
    Springer
    Water, air & soil pollution 92 (1996), S. 289-313 
    Details
    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
    URL: http://dx.doi.org/10.1007/BF00283564
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    Paper (German National Licenses)
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  • 5
    Electronic Resource
    Electronic Resource
    Use of Soft Data in a GIS to Improve Estimation of the Volume of Contaminated Soil (1998)
    Springer
    Water, air & soil pollution 101 (1998), S. 217-234 
    Details
    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
    URL: http://dx.doi.org/10.1023/A:1004985516408
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    Paper (German National Licenses)
    Fulltext
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