Scientific evaluation process of the projects proposed to the Directorate of Research Support Programmes (ARDEB) in the 1st period of 2024 within the scope of‘1001-Scientific and Technological Research Projects Support Programme’ called by TUBITAK (Scientific and Technological Research Council of Turkey) was completed and the results were announced. One of the academicians of our institute, Dr. The project proposal titled ‘Investigation of Quantitative Measures for Reducing Nutrient Loads Causing Mucilage Formation in the Marmara Sea with Analytical Modelling and Machine Learning Integration for Current and Climate Change Conditions, Susurluk Basin Example’, which was carried out byDr. Meltem Çelen, one of the academicians of our Institute, was entitled to be supported.

Within the scope of the project, it is aimed to develop a method based on computer-based technologies for the reduction of nutrient loads reaching the Marmara Sea from surface waters under present and future conditions to be determined and to produce thematic maps as a tool for decision makers. For this purpose, Analytical Modelling techniques and different machine learning techniques (ANN, SVM, RF etc.) will be used. Analytical modelling approach will be used to identify critical sub-regions of the Susurluk Basin in terms of nutrient pollution. Machine learning techniques will be used to prioritise catchment parameters affecting nutrient quality levels to be classified according to Surface Water Quality Classes (SWQC) and to predict future land use change.

In addition to the classification methods, Analytical and Machine Learning techniques will be applied separately to predict nutrient loads (regression) on sub-basin basis and to test scenarios to reduce these loads. Prof. Dr. Mehmet Salim Öncel from Gebze Technical University Institute of Earth and Marine Sciences, Prof. Dr. Güleda Engin and Prof. Dr. Şeref Naci Engin from Yıldız Technical University, Prof. Dr. Eyüp Selim Köksal from Samsun Ondokuz Mayıs University and Prof. Dr. Günay Yıldız Töre from Namık Kemal University are the researchers of the project.

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