Akademik Veri Yönetim Sistemi
8th Internatıonal Asian Congress on Contemporary Scıences, Aksaray, Türkiye, 5 - 07 Mayıs 2023, ss.153-164
Water quality management is critical to protecting coastal ecosystems and public health. Effective management requires long-term monitoring and modeling of water quality parameters to assess the effects of human activities and natural processes on water quality. Advances in technology and data processing have enabled the development and implementation of advanced data systems and related models for water quality management in coastal and transitional waters in the last years. This article presents the HYDROTAM-3D modeling system for hydrodynamics, turbulence, transport, and water quality, as well as the database and application in the inner Fethiye Bay. It highlights the importance and difficulties of long-term modeling and monitoring studies for the dynamics in Turkish coastal and transitional waters. Physical parameters such as water temperature, water salinity, dissolved oxygen, turbidity, pH, and Secchi disk were measured every two meters along the water depth to study the temporal and spatial changes in water quality at fourteen different points in the inner bay of Fethiye once a month. Chlorophyll-a, total suspended solids, phosphorus, ammonia, nitrite, nitrate, total and fecal coliform bacteria, Pseudomonas aeruginosa, Escherichia coli, biochemical oxygen demand, fecal streptococci, Salmonella, and plankton were analyzed in the laboratory using water samples. The HYDROTAM-3D model created a geographic information system (GIS) and cloud computing-based water quality monitoring and assessment data system that provides historical and coordinated access to all physical and biochemical parameters. The model system can also be used to simulate water quality processes in detail. The model simulations can be compared with measurements. The basic dynamics of the ecological system in the aquatic environment are modeled for numerical simulation of water quality parameters. The organisms represented in the model are phytoplankton, nitrogen-processing bacteria, and zooplankton. In the water quality submodel, all processes forming the biochemical cycles of nitrogen, phosphorus, and oxygen and their interrelationships are analyzed, as well as changes in the concentrations of zooplankton, phytoplankton, and bacteria interacting with these cycles. The HYDROTAM-3D model system is adapted to Turkish coastal and transitional waters and has been validated and verified in numerous academic and application projects. The model is a powerful tool for the analysis of water quality parameters and has contributed significantly to the understanding of physical and biochemical processes governing water quality in coastal and transitional waters. This study emphasizes the importance and necessity of identifying key water quality management challenges, including data collection, model development, and application of the model to address these challenges.
Keywords: Coastal waters, HYDROTAM-3D, Modeling, Monitoring, Transiotional water,
Water quality