This work introduces a novel inversion framework using dynamic Complex Geometrical Optics (CGO) solutions for the precise identification of pollution sources in environmental systems. Our research broadens the application of CGO solutions to address the challenges presented by the simultaneous tracking of multiple contaminants, each characterized by distinct diffusion coefficients and interactions. By developing an approach that utilizes the capabilities of CGO solutions and integrates a broad spectrum of environmental dynamics, including diffusion, convection, and inter-pollutant reactions, we lay the groundwork for a comprehensive framework designed to trace the origins of pollutants and accurately reconstruct emission concentrations in the multiple pollutant traceability problem.