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

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