Conference Agenda

Urban drainage models like SWMM and CityDrain rely on high-resolution pollution data to simulate dynamic processes accurately. Optical techniques, such as spectrometer probes and multi-spectral cameras, offer real-time monitoring solutions but face accuracy challenges due to simplified light scattering models. In this study we improve our understanding of light transport processes in wastewater by addressing challenges associated with absorbance and reflectance spectroscopy. Specifically, we developed a 2D stochastic model, incorporating main light-water interactions: specular reflection, absorption, and scattering. The model is grounded in diffusion theory and accounts for plane symmetry, providing a robust framework for simulating optical measurements. Key optical parameters of wastewater, including the absorption coefficient, scattering coefficient, and anisotropy factor, were determined using a double integrating sphere. Measurements focused on the 400–900 nm range due to limitations at longer wavelengths. Initial results demonstrate that the model replicates the reflectance behaviour of wastewater, with promising implications for improving optical monitoring technologies. Current work focuses on validating the model through experimental measurement of light reflectance attenuation. This approach lays the foundation for the design of advanced optical sensors and real-time monitoring systems for wastewater treatment applications.