Author(s): Umar Alfa; Laurent Lefevre; Eric Duviella; Auwal Shehu Tijjani

Linked Author(s):

Keywords: Lgal 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 was 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 was 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, was used to simulate the same parameters. The study also develops Cellular Automata and Reaction-Advection-Diffusion Model (CA-RAD) to stimulate the dynamic of algal and oxygen by integrating advection, diffusion, and reaction processes. By incorporating spatially distributed water flow velocities and key environmental factor (phosphorus, nitrogen, light, temperature, and pH), the model provides a realistic prediction of algal growth pattern and eutrophication risk. Compared to the CA model, the CA-RAD model not only shows the local interaction but also demonstrates superior performance in simulating more complex patterns for algal dynamic. Thus, the CA-RAD model offer a valuable alternative to conventional approaches, providing deeper insights into effective water quality management and decision making.

DOI: https://doi.org/10.64697/978-90-835589-7-4_41WC-P2011-cd

Year: 2025