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Oliver Sonnentag [09-2003]:

SIMIK+: evaluation and conceptual improvement of a GIS-implemented kriging technique

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One of the major components of the European Water Framework Directive (WFD) is the achievement of "good status" for all surface waters as well as ground water by 2015. Its implementation is a multi-step process whose first step is the assessment of the current status of all waters by 2004. In order to assess the qualitative status of ground water, staff at the State Institute for Environmental Protection Baden-Wuerttemberg ("Landesanstalt fuer Umweltschutz"; short: LfU) in Karlsruhe, Germany, which is responsibly involved in many steps of the activities, applies a spatial interpolation technique called SIMIK+ (Simple updating- and Indicator Kriging + additional information). This technique, based on geostatistical concepts and implemented in ArcView 3.x, allows for the semi-automated mapping of the spatial variability of ground water quality parameters by incorporating categorical additional information in the interpolation process. The raw data for this purpose is provided by a state-wide monitoring network consisting of roughly 2,900 ground water observation points. The most problematic issue with this approach that confines its application on the level of the sub-work areas defined by the WFD, is the general tendency of underprediction in areas were the highest concentrations of a ground water quality parameter were measured. This thesis aims at the SIMIK+-workflow, which is implemented in the form of a geostatistical wizard in order to allow SIMIK+ to produce more reliable interpolation results on the level of the WFD sub-work areas. Several conceptual modifications are proposed and evaluated in this regard. It will also be investigated how variation of the categorical additional information, currently land use and hydrogeology, and consideration of sub-surface catchments affect the interpolation results. Finally, it will be assessed how the interpolation results obtained by SIMIK+ depend on the sampling intensity of the state-wide monitoring network.


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