The aim of this study is to evaluate the parameters such as pH, dissolved oxygen, temperature, conductivity, salinity, biological oxygen demand (BOD), total suspended solid, ammonia, chlorophyll-a and heavy metals affecting total coliform values in seawater using Artificial Neural Network (ANN) modelling at the Eastern Black Sea coast of Turkey. The results obtained from ANN model were compared with actual total coliform values. The samples were taken from the different points selected along the deep sea discharge systems starting from the diffuser end of three domestic deep sea discharge systems at Turkey's Eastern Black Sea coast. ANN model was developed for estimating the relationship between total coliform and other parameters. The parameters measured in seawater samples were analyzed by using the ANN model for prediction of coliform values. The results showed that neural network model is capable of estimating the sea pollution with a reasonable accuracy.

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Ecological processes that occur in a lake depend on the physico-chemical (abiotic) and biotic factors of the system and the interrelations between them. It can be concluded that the current nutrient loadings from both point and non-point sources are cause to increase eutrophic case over the years. This study indicate that the sustainable utilization of reservoir in combination with proper wastewater treatment plant and controlled use of pesticides has a potential to reduce the current nutrient loadings into Suat Uğurlu Lake. The estimated nutrient reductions that could be achieved from the management scenario would be enough to revert the lake from mesotrophic situation to trophic state. The reduction of nutrient loadings into Suat Uğurlu Lake could be achieved through the practice of Integrated Water Resource Management (IWRM), through good management. However, as long as pertinent issues of urban poverty, watershed management and public awareness and involvement in water related issues are not addressed, trophic in Suat Uğurlu Lake will remain a problem.

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