Prediction methodology for pollution concentration wave using Rough Set Theory capabilities

Abstract

The project realized a prediction of pollution wave concentration using the Rough Set Theory capabilities realizing a conceptual model that establishes the dependencies that characterizes the relation “pollution source - pollution migration ways - targets” and its dynamics and establishes the attributes’ relevance for the purpose of predicting the pollution wave concentration and the management of the imperfect data. The methodology has been realized taking into account the updated legislation at the level of years 2013-2014 and has been applied/validated for a case study that has been using monitoring data with reference to the chemical indicators from INCDECOIND Bucharest within an interest section on the Olt river to verify the realized prediction using this methodology. The proposed methodology brings new a decision table with cert and transparent decision rules determined according to the current legislation that allows the prediction of pollution concentration wave and the environmental risk associated to it.