The Marne is one of the main tributaries of the Seine. Historically, this river used to have many official bathing sites. However, the growing urbanization of eastern Paris led to a deterioration in the health of the river, causing the closure of these sites in 1970. Consequent work has been carried out as part of the Paris 2024 Olympic and Paralympic Games, in order to improve the quality of the Parisian rivers water, particularly of the Marne, and allow athletes to carry out freestyle, triathlon and paratriathlon events in the Seine in the heart of Paris. In line with this effort, the political authorities, including the Seine-et-Marne department and Paris Est Marne & Bois, have decided to rehabilitate the former bathing sites and consider their reopening to the public in the third quarter of 2025. 

This use case involves innovative solutions from the bidirectional, cyber-physical integration and of rapid field monitoring data for fecal indicator bacteria and laboratory qPCR measurements of specific human markers, environmental data, and predictive modelling to an advanced SWIM:AI solution tailored for early warning systems in bathing water quality monitoring. The technologies involved includes an in-situ microbiological lab for real-time contamination-free sampling, reagent mixing and incubation, bacterial quantification such as E. coli, Enterococci while supporting wireless IoT-enabled data transmission. From the robotics perspective, an USV equipped with a multi-parameter probe and an automatic sampler will be utilized to enable high-resolution bacterial monitoring of bathing sites and mapping microbiology (E. coli) to locate concealed illicit discharges. IoT-enabled UV-based chemical analyzers involving ML-enhanced spectral decomposition will be used as rapid, early-warning devices for sewage pollution detection, and could be used as a trigger for performing in-situ microbiological analyses. All the collected data, including those from state agencies, will be integrated into SWIM:AI, a unified platform that will provide real-time assessment of bathing water quality that is based on machine learning and statistical modelling. AQUAMON’s transparent and rapid communication mechanisms will facilitate the dissemination of bathing water quality information enabling proactive promotion on municipal websites and tourism portals, fostering awareness and safety.