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The main features associated with the development of intelligent technology for detecting anomalies of ecosystems in the waters of the city of Sevastopol are considered. An approach is proposed, the feature of which is to ensure continuous monitoring of key environmental indicators presented in the form of heterogeneous information flows: hydrometeorological information, data on the level of pollution and air composition, soil, environmental monitoring, monitoring of maximum permissible emissions of harmfulsubstances in order to detect changes in the state of data flow monitoring. The proposed method for thedetection of anomalies of ecosystems of the water area is based on data clustering. We consider typicaloperations on clusters and main metrics based on the Kullback information measure.

Intellectual technology of detection of anomalies in the aquatoria ecosystems of the Sevastopol on the basis of data clustering