This project is a fascinating simulation of atmospheric interactions, focusing on the dynamic behavior of various gases under different environmental conditions. It models how gases like Ozone, Oxygen, and Carbon dioxide evolve in response to phenomena such as thunderstorms, sunshine, and other atmospheric changes.
The simulation is built on a robust architecture combining object-oriented programming principles and design patterns. It extensively uses polymorphism, encapsulation, and inheritance for representing gases and atmospheric conditions. The Singleton design pattern ensures efficient management of atmospheric state changes, providing a consistent simulation environment.
The primary challenge was accurately modeling the complex interactions between different gases and atmospheric variables. Implementing a system that could handle these dynamic changes while maintaining state consistency pushed the limits of algorithmic efficiency and data structure optimization.
This project was an intriguing journey into the world of atmospheric science and simulation. It allowed me to deepen my understanding of environmental processes and enhance my skills in software design and complex algorithm development.