'The Graduate School of the Humanities, Utrecht University'
Abstract
Soils can both be a sink and a source for many components influencing
our environment. These components may either be beneficial or damaging
and for assessing the current environmental condition knowledge about
the extent these components are present in the soils is necessary.
For the Netherlands the government demanded a nation wide inventory of
soil contamination by drafting so called soil pollution risk maps. These
maps pertain to levels of priority chemicals relative to their legal
thresholds in soil. However, I argue that using methods as used in
establishing geochemical baselines and deriving models to estimate the
anthropogenic enrichment based on these baselines provide much more
insight in the extent of the contamination, or enrichment, of the soils.
Therefore a large geochemical survey, using a consequent sampling
design and analytical methods, was done in Zeeland, south-west of
the Netherlands. The young Holocene marine clayey sediments in the
agricultural area were sampled at two depths in the profile, using the
deeper layer as a reference. A specific survey was used to estimate the
extent of spatial variability. The results indicated a distinct human
influence can be discerned and that elements like Cd, Cu, Sn, Sb, Pb,
Zn, As are enriched. These elements have also more variability, both
in spatial as in attribute space, than the non-anthropogenic influenced
elements. The result indicated also that the used legal threshold
levels (streefwaarden) are a overestimation of the natural soil background
composition.
To assess the soil concentrations of DDT and its derivatives and
metabolites (sum DDT), the most troublesome organic components due
to exceedance of legal limits, likewise statistical methods as for the
inorganic assessment were used. The data was taken from local surveys
demanded by the authorities using national standards for sampling design
and analytical procedures. This research indicated that the sum DDT
values were highly variable, in general determined by small scale
variability, resulting in limited value of the data