Author(s): Mengyun Wang; Mario Morales-Hernandez; P. Brufau; P. Garcia-Navarro

Linked Author(s): Pilar García-Navarro

Keywords: Shallow water; Water quality; One-dimensional; Two-dimensional; Graphics processing unit

Abstract: Water quality challenges, such as pollution and resource depletion, have emerged as critical threats to aquatic ecosystems, affecting their health and stability. Water quality models serve as a powerful scientific tool, providing insights into the water pollution dynamics, and predicting water quality trends (Wang et al., 2013). This study focuses on the development and enhancement of shallow water models to simulate critical water quality parameters in both 1D and 2D configurations. These parameters include ammoniacal nitrogen, organic nitrogen, nitrate-nitrite nitrogen, organic phosphorus, phosphates, carbonaceous biochemical oxygen demand, dissolved oxygen, phytoplankton, coliforms and water temperature. The modular design of the numerical models allows for activating or deactivating specific components based on the problem being addressed. To improve computational efficiency, graphics processing unit (GPU)-based parallel computation was implemented. This approach significantly accelerates simulations, making it feasible to address large-scale and high-resolution scenarios. Several test cases were carried out to validate the reliability and performance of the proposed models, demonstrating their potential in addressing complex water quality challenges.

DOI:

Year: 2025