Abstract

Many state and federal government agencies are now collecting large quantities of groundwater quality data in response to a growing awareness of adverse health effects associated with groundwater contamination. Because these various agencies often havenonoverlapping responsibilities, the databases that they assemble and use include information collected about different substances at variable spatial and temporal resolutions. This can lead to a fragmented view of groundwater quality with each database contributing to a restricted domain of a more general problem. Fragmented databases also are difficult to subject to analyses, and often provide incomplete information to decision-makers. In this paper, data base engineering procedures are described which enable groundwater datafiles to be integrated into a single repository that is suitable for query and analysis. A suite of example Prolog programs allows decision-makers to formulate and embed logical decision rules in a knowledge base which is used in retrieving data from the integrated database and which supports groundwater quality decision-making.

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