Urban water-quality management often depends on sparse and irregular monitoring data. This is particularly challenging in the context of microbiological hazards, where grab samples may fail to capture short-lived contamination peaks. The AQUAMON project develops an integrated monitoring and decision-support framework combining advanced sensors, automated monitoring, data-driven models and digital tools. Its objective is to transform heterogeneous monitoring data into actionable information for timely, risk-informed water management.

Within AQUAMON, KWB contributes two Bayesian approaches for supporting decisions under limited and uncertain data.

First, a quantitative microbial and chemical risk assessment (QMRA/QCRA) will combine literature-derived knowledge with site-specific observations using Bayesian networks and inferential methods. In the Turin use case, human-health and environmental risks will be assessed along the water-reuse chain, from raw wastewater through treatment and irrigation to exposure via crop consumption and direct contact, including contaminant fate in soil and potential transfer to groundwater. As monitoring data accumulates, the assessment will be updated sequentially, showing how risk estimates and uncertainties evolve and where additional data provide the greatest value. Applications are also planned in Lviv and London.

Second, an enhanced version of KWB’s early-warning model SWIM:AI will support adaptive bathing-water monitoring in Paris. Using rainfall, river-flow and E. coli data, the model predicts bathing-water quality and quantifies predictive uncertainty. Bayesian novelty detection will identify situations where existing information is insufficient and trigger on-demand E. coli measurements using the Fluidion ALERT in-situ sensor. New observations will then be incorporated into subsequent predictions.

Together, these approaches aim to move from fixed monitoring towards uncertainty-aware, adaptive monitoring that collects additional data where they provide the greatest value for risk-informed decisions. As AQUAMON runs until the end of 2028, the poster presents the methodological framework and planned applications rather than project results.

This deliverable describes in detail the five pilot use cases (PUC) (1) Lviv, (2) Turin, (3) Paris, (4) London and (5) Limassol. These PUC, further specified in use case scenarios, will be implemented during the project in order to showcase the AQUAMON system and its components.

Based on an iterative, co-creation process with the consortium, the deliverable further elaborates the user, legal and ethical requirements that will serve as a foundation for all Research and Development (R&D) work within the project.

After a short introduction, the deliverable summarises the applied methods to map stakeholder and define user requirements as well as legal and ethical requirements. This is followed by a detailed description of the PUC themselves, linking each of the defined stakeholders and user requirements directly to the PUC. Finally, the deliverable describes the use case scenarios for each PUC that will eventually be implemented within the project.

In the core of this deliverable the user requirements that will serve as the basis of all further work in AQUAMON have been categorized and described. They are differentiated between functional user requirements or non-functional user requirements and prioritized using the MoSCoW method.

Finally, the document contains a short analysis of the ethical and legal framework from the users' perspective with a focus on privacy and copyright protection. The deliverable ends with a brief summary and conclusion that also contains a short outline of the next steps that will be done in WP2.

This Layman's report is part of Deliverable D6.6 showcasing H2020 PROMISCES project outcomes and results.