Two researchers from the Upper Euphrates Basin Developing Centre as part of an international research team

2024-03-27

Two researchers from the Upper Euphrates Basin Developing Centre at the University of Anbar published a paper in the sober journal (Clarivate Q1), where the researchers participated in an international team that included researchers from Malaysia, Qatar, the United Arab Emirates, and Iraq, in publishing scientific research in the journal (Ain Shams Engineering Journal) classified within the Clarivate and Scopus (Q1) database.

The study, which was co-completed by Dr Haitham Abdel Mohsen Afen (Senior Researcher) and Prof. Dr Ammar Hatem Kamel and tagged: ((Geneticizing input selection based advanced neural network model for sediment prediction in different climate zones)) focused on developing an accurate prediction model for the load of suspended sediment (SSL) in rivers based on previous SSL values and river discharge, two models of artificial intelligence (AI) hybrid and parallel were used, to test them on rivers in different climatic zones and different river volumes, The parallel model showed better performance than the hybrid in most cases, with the best results based on absolute mean error (MAE) and root mean square error, and the results of the multifunctional neural network (GA) model proved its ability to predict (SSL) in tropical and semi-arid regions. The proposed method proved to be more accurate than traditional models, ensuring better water resources planning, agricultural management, and operation of dams and reservoirs.

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