Decision support system for a river network pollution estimation based on a structural-linguistic data model
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On the base of a specially crated structural-linguistic model of a river network a point pollution detection decision support system (DSS) is developed. The data model completely describes the topology of the river and the presence of technical equipment along the river basin. The described system is able to find monitoring stations with pollution detected and estimates the potential polluting objects by means of several heuristic rules. The final result of the DSS analysis is an arranged list of polluting objects with the highest score for the most probable of them. The structural model of the river network is developed in the ArcInfo environment and Visual Basic is used for the construction of the DSS.
Keywordsstructural-linguistic model surface water purity
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