Author(s): Umar Alfa; Laurent Lefevre; Eric Duviela; Auwal Shehu Tijjani
Linked Author(s):
Keywords: Lgae growth Cellular Automata Computational modelling Heron Lake Water quality
Abstract: This case study presents the development and validation of a dynamic water quality model using the Cellular Automata (CA) approach. The CA framework is employed to address the limitations of conventional water quality modeling techniques by simulating complex interactions and spatial heterogeneity in aquatic environments. In addition, an advanced monitoring strategy is deployed, and field data -- such as temperature, pH, conductivity, turbidity, and dissolved oxygen -- are systematically collected over a defined period. To further validate the dynamics of the above parameters, a well-known computational model, the Advection-Diffusion model, has been used to simulate the same parameters. Through a comparative analysis, the CA model demonstrates better accuracy in capturing local interactions and more complex patterns, including algae dynamics. Thus, the CA model offers a valuable alternative, providing deeper insights for effective water quality management and decision-making.
Year: 2025