A risk-based human health exposure assessment (HHEA) model was developed to evaluate the exposure for humans in 4 circular economy (CE) routes investigated in 6 of the 7 case studies in the project PROMISCES. The HHEA is a probabilistic tool evaluating the risk posed to human health. The HHEA was applied to the following routes: 1) semi-closed drinking water cycle; 2) groundwater remediation; 3) water reuse for agricultural irrigation; and 4) nutrient recovery. Each of these exposure routes results in a product – drinking water or lettuce – which can be consumed by humans. For some routes, the exposure is purely theoretical, while for others, the entire process chain is investigated in the PROMISCES case study.

The HHEA is built on Bayesian principles and includes Bayesian updating, which enables assessment of risk under conditions of low data availability and high uncertainty. This is particularly useful for evaluation of substances such as PFAS and other industrial persistent, mobile and potentially toxic (iPMT) substances, the removal of which in treatment processes is not yet well studied in literature. The deliverable explains the different treatments, environmental matrices, and substances which were the focus of the initial assessment. It describes the construction of the HHEA model, with explanations of how different data types – literature data, site specific data, and modelled data – are used to update the prior probability of the removal factor for substances in a process. It also describes how non-technical processes, such as mixing or evaporation, have been included into the treatment trains evaluated. Finally, individual reference quotients for the substances are established, which are used to assess the relative risk of the final concentrations in the products which could be consumed by humans.

Mischwasserüberläufe nach Starkregenereignissen führen in den Berliner Fließgewässern im Sommer regelmäßig zu Sauerstoffdefiziten bis hin zu Fischsterben. Um solche Zustände zu vermeiden, ist neben der Sanierung des Kanalnetzes die Abkopplung von 20 bis 40 % der angeschlossenen Flächen in den Mischwassereinzugsgebieten notwendig und in Planung. Im Projekt MiSa - Mischwassereinzugsgebietssanierung - wurden im Auftrag der Umweltverwaltung in Workshops mit Berliner Bezirksämtern mögliche Abkopplungsstrategien definiert. Zur Bewertung dieser Strategien wurde eine Modellkette aus Kanalnetz- und Gewässergütemodell aufgebaut, die erstmals eine immissionsbasierte Bewertung ermöglicht und damit die Flächenabkopplung in einen direkten Zusammenhang mit der Gewässergüte stellt.

Highlights

• High correlation between seasonally aggregated Sentinel-2 Data and lake trophic states.

• Automatable single pixel time series analysis.

• Seasonal ranking of lake water quality.

This deliverable summarises progress at month 18 of the AD4GD project on three pilot studies on air quality, water and biodiversity, and identifies the key next steps for all partners to support the implementation. The pilot studies are designed to demonstrate the feasibility of re-using, developing, extending and integrating a range of tools, semantics and standards to facilitate data-driven decision making on Green Deal priority topics. The progress described includes:

• engagement with stakeholders;

• requirements gathering;

• identification of existing re-usable components, data and services which can support the pilots and, more broadly, the Green Deal Data Space;

• identification of gaps, and of components required to fill those gaps;

• progress on development and integration of the identified components.

The purpose of Deliverable 6.1 is to review the context and lessons learnt in the first 6 months of the pilot work package, and to identify and plan priority actions for the next 18 months to ensure robust integration of accessible, re-usable tools and work flows by the end of the project. Where deliverables already exist from the project that document underpinning technologies and services, these will be sign posted. Evaluation of performance and scaling potential is beyond the scope of the current deliverable, and will be addressed in its second iteration (D6.2). The current deliverable focuses primarily on the integration of existing and bespoke tools to support the work flows necessary to consume, use and produce data and metadata for the three identified pilot case studies.

We describe a human-centred co-design approach employed by FIT in eliciting high-level requirements for interfaces and user experience in the Green Deal Data Space, both during the project and in a dedicated workshop in September 2023. This work has required us to work closely with sister projects and existing GEO initiatives to ensure efficiency and interoperability.

For each pilot, we describe the initial rationale, indicators to be computed and stakeholders, before delineating the relative contribution (and potential future contribution) of EO, citizen science, socio-economic and IoT data. Next, we present the value proposition and design for an e d-user tool (to be developed by FIT) which will allow GDDS users to easily access the application or work flow , with a high-level view of the underlying data and processing services. Finally, for each pilot study, we describe the technical components that have been identified as necessary to support such interfaces from end to end, including 12 bespoke tools and components being developed by project partners to ease the integration of existing solutions.

Progress on these 12 technical components are explained, including whether each is being re-used, extended or specifically developed within tasks and work packages of the project. In each case, URLs are given for supporting demonstrations, instances or code repositories. We have aligned their development and iteratively integrated them at two face-to-face project hackathons in October 2023 and February 2024. We then revisit each pilot study to assess the progress of integration and development, and identify priorities for the next 3, 6, 9 and 12 months, aiming towards an integration that can be documented and evaluated within the final 6 months of the project.