THE APPLICATION OF LAGRANGIAN PARTICLE TRACKING TECHNIQUES TO MODELLING OF CONTAMINANTS IN WATER RESOURCES

The Lagrangian model is widely used to track particles in water resources. The model, primarily a stochastic deterministic solution, is coupled with virtual passive particles driven by hydrodynamic forces. User methods regarding model parameterization, limitations, and future directions are examined in relevant reviews. The results indicated a logical convergence via a random walk variable and inverse problem methods for the initial parameters. Highlights suggest a limited capacity to replicate a representative tracer trajectory, except for the initial and final pair of coordinates. Future directions combine computational power and algorithm optimization. Future research is recommended to improve understanding of the influence of random walk and how to reduce uncertainties in long-term models. This review aims to contribute to a critical analysis of Lagrangian models and methods. It summarizes methods that can contribute to environmental modeling for the mitigation, control, and cleanup of areas impacted by solids from immiscible passive particles.