Which model requires significant user interaction for solving partial differential equations?

The Computational Fluid Dynamics (CFD) model indeed requires significant user interaction for solving partial differential equations. This is primarily due to the complexity and intricacy of the physical phenomena being simulated, which often involves a range of variables and conditions that need to be carefully defined and tailored to the specific scenario at hand.

In CFD, users must set up the computational domain, define boundary conditions, choose appropriate turbulence models, and discretize the equations governing fluid flow and dispersion. Additionally, users often need to iteratively refine the mesh for better accuracy, adjust solver parameters, and analyze results, which all necessitate ongoing user involvement throughout the simulation process.

While other models mentioned may provide valuable insights into atmospheric dispersion, they typically operate on established equations or simplified approaches that are less reliant on user-defined parameters and interactions. This makes the CFD model distinctly more demanding in terms of user engagement for effective application.