Fuzzy UML and Petri nets modeling investigations on the pollution impact on the air quality in the vicinity of the Black Sea Constanta Romanian resort

The purpose of this research is to investigate the use of an intelligent neural-fuzzy modeling strategy based on Unified Modeling Language (UML) diagrams and Petri nets models of the pollution sources impact on the air quality along the Romanian coast of Black Sea, especially in Constanta vicinity. This is possible by monitoring the physical and chemical parameters of the air quality, such as temperature, wind speed, Carbon Dioxide (CO2), methane (CH4), Nitrogen Oxide, ozone, water vapours concentrations provided by several “in-situ” measurements stations spread in the critical points from Constanta area. Moreover, we will try to disseminate the information collected and to investigate adequate actions to prevent the continuous degradation of the environment. The values of air quality-monitored parameters vary with the position of the sampling sites in quasi-large range; consequently a direct correlation between these indicators will be useful. Air pollution sources cause the “greenhouse effect“with a high impact on the live and fauna, degrading progressively the Black Sea ecosystems. Closing, in our research we try to present the benefit of the UML diagrams in combination with Petri nets models developed on a wide database concerning the air pollution degree inside Constanta Romanian Black sea resort to predict the future results.