DocumentCode
2669497
Title
The neural simulator of the pollution factors impact on the quality of the water inside the Romanian harbour of Black Sea
Author
Tudoroiu, Roxana-Elena ; Neacsu, Gabriela ; Ilias, Nicolae ; Cretu, Vladimir ; ElenaTudoroiu, R.
Author_Institution
Concordia Univ., Montreal, QC, Canada
fYear
2009
fDate
12-14 Oct. 2009
Firstpage
531
Lastpage
539
Abstract
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.
Keywords
digital simulation; environmental science computing; neural nets; water pollution; water quality; Constanta port strategic location; Romanian harbour; black sea; chemical indicators; dissolved oxygen; neural simulation model; petroleum-hydrocarbons pollution indicators; phytoplankton; water pollution; water quality parameter monitoring; Chemical compounds; Condition monitoring; Degradation; Hydrocarbons; Marine pollution; Petroleum; Predictive models; Sampling methods; Water pollution; Water resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2009. IMCSIT '09. International Multiconference on
Conference_Location
Mragowo
Print_ISBN
978-1-4244-5314-6
Type
conf
DOI
10.1109/IMCSIT.2009.5352788
Filename
5352788
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