Author(s): Zhangjie Peng; Stefania Piazza; Fred Sonnenwald; Jesus Leonardo Corredor Garcia; Gabriele Fren; Ian Guymer
Linked Author(s): Ian Guymer, Fred Sonnenwald
Keywords: No Keywords
Abstract: Modelling water quality in drinking water systems is complex. Previous work has relied on simple 1D plug flow (advection-only) assumptions to predict water quality changes in these systems, which have been shown to be insufficient to predict water quality (Piazza et al. 2022). The addition of dispersion (mixing) into models has improved predictions (Piazza et al. 2022). However, at laminar flow conditions where the pollutant is not cross-sectionally uniformly distributed for very long time periods, a 2D approach was suggested. To date, the 2D modelling approach has not been fully explored nor validated with 2D experimental data. This study aims to fill this gap by utilising four 2D in-pipe Laser Induced Fluorescence (LIF) concentration measurement systems to collect data in controlled complex network experiments at the University Kore of Enna. In this study, 2D cross-sectional pollutant distributions were recorded under various laminar and turbulent flow conditions within common full-scale pipe architectures to enable model validation. In this study pollutant transport in the network has been modelled using 1D advection, 1D and 2D diffusion-dispersion, and Computational Fluid Dynamics (CFD) models.
Year: 2024