Abstract
Data bases and environmental research
Concern for the environment has grown rapidly in the last decade(s). Many potential threats
to our surroundings have been recognized. The precise effects of these threats are often not
known, and much research is needed. Considerable effort is put into the acquisition of data
in time and space to
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evaluate the influence of anthropogenical processes in the environment.
One of the tools used is monitoring by networks. Large numbers of samples are collected and
their analysis by modem analytical methods produces very sizeable data bases. Fortunately,
with the appearance of personal computers for the data storage and interpretation no costly
investments have to be made. Compared to the considerable effort and capital put into the
data acquisition, the investment made for (sophisticated) interpretation of this enormous
amount of data is often limited. In many cases the evaluation focuses on answering questions
put forward by governments. However, environmental data sets should be studied extensively
by scientists, in order to extract more knowledge from the data, which may set new
perspectives for environmental policies.
The Dutch National Ground Water Quality Monitoring Network
Quality monitoring of ground water in the Netherlands basically started in the nineteenth
century, with the regular examination of extracted drinking water. A systematic approach on
a national scale was implemented in 1979, when the Dutch National Institute of Public Health
and Environmental Protection (RIVM) initiated the Dutch Groundwater Quality Monitoring
Network (LMG). The national network has been designed to keep track of the shallow
ground water quality down to 25 m below surface, with an average monitoring site density
of 1 per 100 km2• Site selection criteria were mainly based on soil type, land use and on the
hydrogeological situation (van Duijvenbooden, 1987). Samples are collected every year and
are analyzed for all macrochemical parameters and a selection of trace elements. The
available data set contains over 7500 chemical analyses.
A first official evaluation was made in 1989 to support formulation of the Dutch
environmental policy (van Duijvenbooden, 1989).
Aims of this thesis
In 1989 ten years of data from the LMG became available for scientific study, which resulted
in this thesis. A combined statistical and geochemical approach was taken, focused on an
understanding of the fundamental controls of ground water quality. The aims of this thesis
are: (1) to derme an efficacious geochemical framework for the interpretation of shallow ground
water compositions of the Netherlands.
(2) to determine the short- and long term geochemical processes, that change and/or threat
the ground water quality.
(3) to discuss the merits and limitations of national monitoring networks and to recommend
additional tools for the study of ground water quality threatening processes.
In pursuing these aims, this thesis serves to illustrate how a large data set can be surveyed
and interpreted in a detailed and sophisticated way.
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