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Mathematical modelling in the context of environmental science involves the application of mathematical concepts and tools to understand, describe, and predict environmental phenomena. It encompasses the development and analysis of quantitative models that represent complex environmental systems, including interactions between physical, chemical, and biological components. These models can help inform decision-making and policy development by providing insights into the potential impacts of various scenarios on the environment. Mathematical modelling is a critical component of environmental science, as it allows researchers to make predictions and test hypotheses about environmental phenomena that might be difficult or impossible to observe directly. It also provides a framework for integrating data from diverse sources, such as field observations, laboratory experiments, and remote sensing, into a cohesive understanding of environmental systems. In this way, mathematical modelling serves as a bridge between the abstract realm of mathematics and the tangible world of environmental science, enabling researchers to make meaningful contributions to our understanding of the natural world and its interactions with human societies.