The neural simulator of the pollution factors impact on the quality of the water inside the Romanian harbour of Black Sea

摘要

The aim of this research is to identify and investigate the pollution sources inside the Romanian harbor of black sea from Constanta, by monitoring the quality water 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 the Port zone and analyses were carried monthly. Physical and chemical indicators of the water quality, nutrients compounds, dissolved oxygen (DO), petroleum/hydrocarbons pollution indicators, Salinity, Sulfides, Cu, Cr and Fe are the monitored quality parameters. 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. Water pollution causes loss of biomass, affecting some organisms until they disappear and also blooms of phytoplankton destroying the ecosystems, due to the loss of oxygen from the water. The most important measures to remediate the area were building dams, cleaning residual water, building areas of protected 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 water pollution degree inside of Constanta port strategic location, and based on this, to predict the future results.