JOURNAL OF COASTAL RESEARCH AN INTERNATIONAL FORUM FOR THE LITTORAL SCIENCES, cilt.113, sa.Sp1. Fall2024, ss.402-406, 2024 (SCI-Expanded)
This study presents the development and application of an integrated
numerical coastal water quality model to assess the impact of land-based
pollutants and climate change on Samsun Bay, located on the eastern
coast of the Black Sea in Türkiye. Monthly measurements of various water
quality parameters, including temperature, salinity, pH, turbidity,
dissolved oxygen, and nutrient concentrations, were conducted for one
year. Using the Storm Water Management Model (SWMM, v5.1), land-based
pollutant loadings from urban and industrial sources were estimated,
encompassing total suspended solids, biological and chemical oxygen
demand, inorganic phosphorus, ammonia, nitrite, and nitrate.
Three-dimensional coastal hydrodynamics, transport, and water quality
model, HYDROTAM-3D, was then employed to simulate coastal circulations
and changes in water quality parameters. The model's effectiveness was
validated by comparing its estimates with field measurements from six
monitoring stations within the bay, revealing close agreement and
capturing temporal variations effectively. The study highlighted the
hypertrophic status of Samsun Bay coastal waters. To address this issue,
the model projected the impact of implementing best management
practices, including remediation, street cleaning, good agricultural
practices, and enhanced wastewater treatment before discharge, on
land-based pollution through 2040. The results indicated a substantial
improvement in Samsun Bay water quality with implementing these
practices, emphasizing the significance of sustainable management
strategies to mitigate the adverse effects of land-based pollutants on
coastal ecosystems.