The neural simulator of the pollution factors impact on the quality of the air along the Romanian coast of Black Sea

Abstract

The aim of this research is to identify and investigate the pollution sources along the Romanian coast of Black Sea, especially in Constanta neighbourhood, by monitoring the quality air parameters. Furthermore we will try to disseminate the information collected and we will propose adequate actions to prevent the continuous degradation of the environment. Several sampling sites were established around and inside the Constanta city resort, and analyses were carried monthly. Physical and chemical parameters of the air quality, such as temperature, wind speed, Carbon Dioxide (C02), methane (CH4), Nitrogen Oxide, ozone, water vapours concentrations are monitored “in situ” in different sampling sites of the Romanian Black Sea coast‥ The values of quality-monitored parameters are variable in quasi-large ranges, depending on the position of the sampling sites. A direct correlation between these indicators can be done. Air pollution causes the “greenhouse effect” with a high impact on the live and fauna, destroying the Black Sea ecosystems. The most important measures to remediate the area were more efficient filters installation in the industrial area, cleaning residual water, and building special places to collect the residues, to prevent direct discharge in the surface water. In our research we try to make an interesting presentation of the neural simulation model of the wide database concerning the air pollution degree inside Constanta resort city, and based on this, to predict the future results.