Preliminary Investigations Concerning Monitoring of Water Pollution Level

Abstract

The aim of this paper is to develop an effective tool based on artificial intelligence techniques for monitoring and characterization of surface waters. Monitoring of the pollution in the aquatic environment consists in the recording of the concentrations of different chemical compounds from water, compounds that exceed the limits of maximum concentrations allowed by the regulations in force. From the chemical point of view, the quality of aquatic environment is determined by analytical control, followed by storing the results of laboratory analysis and creation of a database in order to ensure the optimal conditions for life and reproduction of aquatic organisms. The expert system will use the multitude of data obtained, allowing finally the improvement of methods for interpretation of physical and chemical parameters according to European legislation in force. This improvement can be achieved by AI algorithms.