Marchant, B.P.; Tye, A.M.; Rawlins, B.G.. 2009 The assessment of point-source and diffuse soil metal pollution in Swansea (Wales, UK) using robust geostatistical methods. [Poster] In: European Geosciences Union General Assembly 2009, Vienna, Austria, 19-24 April 2009.
Abstract
The urban area of Swansea was a centre of metal processing and production from the 16th until the 20th century
and was subject to a substantial amount of diffuse atmospheric and point-source metal pollution. We map the
concentrations of four heavy metals across the urban region based upon a soil geochemical survey undertaken by
the British Geological Survey in the summer of 1994 covering an area of 93 km2 at a density of 4 samples per
km2. The non-aligned sampling grid yielded a total of 373 samples.
Analyses of these samples by X-ray fluorescence spectromety revealed that throughout the urban area the concentrations
of As, Cu, Pb and Sn were greater than the ambient background concentrations. Several hotspots of each
of these heavy metals were observed at former industrial sites. These hotspots hinder the mapping of these metal
concentrations by conventional geostatistical methods in two ways. Firstly when models of spatial variation are
fitted to the data the hotspots lead to the variance of the metal concentrations being over-estimated. This can in
turn lead to details within our maps being smoothed out. Secondly conventional interpolation techniques such as
kriging exaggerate the size of the hotspots.
Therefore the components of metal concentrations due to point-source and diffuse pollution were mapped separately
by robust geostatistical methods. We assume that the dominant pattern of spatial variation of metal concentrations
across the urban region results from diffuse pollution whereas the hotspots are statistical outliers. Robust
models of spatial variation were used to represent the diffuse component of pollution. The parameters of these
models are not unduly influenced by the outliers. The diffuse pollution was mapped by robust median kriging.
This method is able to identify and truncate the outliers. Statistical validation confirmed the appropriateness of
the model of the spatial variation of metal concentrations due to diffuse pollution. Historical records of industrial
activity were used to determine potential sources of contamination at the sites where outliers were identified.
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