The field of computational hydrodynamics has witnessed a remarkable evolution, enabling the simulation of complex environmental phenomena with unprecedented precision and efficiency. At the forefront of this advancement stands SERGHEI, a state-of-the-art framework for hydrological, environmental, and geomorphological flow simulation. This work introduces three novel modules integrated into SERGHEI: Lagrangian Particle Tracking (LPT), Advection-Diffusion-Equation (ADE), and Sediment Transport (ST). SERGHEI is an open-source, multidimensional simulation tool designed in C++ and Kokkos for performance portability across various HPC systems. The code is accessible at https://gitlab.com/serghei-model/serghei. The LPT module adds a granular perspective to environmental simulations, allowing for detailed analysis of debris transport in flood scenarios. The ADE module facilitates robust modeling of substance transport in fluid flows, crucial for pollution dispersion and ecosystem impact assessments. The ST module addresses sediment transport in hydrodynamic studies, enabling the simulation of entrainment, deposition, and sediment movement in hydraulic erosive flows. Incorporating these modules into SERGHEI represents a substantial leap in simulating multi-dimensional, multi-domain, and multi-physics problems. While enhancing SERGHEI's application spectrum, these additions also introduce challenges in computational efficiency and scalability. This work focuses on optimizing these aspects to keep SERGHEI at the forefront of high-performance environmental simulations.