a partner (for my project)

1. Field-scale natural barriers: access to a riverbank filtration, managed
aquifer recharge (MAR/soil-aquifer treatment) or constructed wetland site,
with hydrogeological expertise (flow paths, travel times, sampling design).
2. Data integration and decision support: GIS, machine learning / statistical
modelling of water quality dynamics, and co-design of decision-support
tools with water managers.
A link to a water utility or river basin authority in your country (as
stakeholder) is a strong plus.
Partner role: lead the work package on dynamics, prioritization, and decision
support; co-lead field studies on natural barriers; host one case study.
Eligibility: your national funding organisation must fund Topic 1 (e.g. Germany, Netherlands, Sweden, France, Denmark, Belgium, Poland, Czech Republic, Ireland, Slovakia, Hungary).

Topic 1. Integrated Monitoring and Assessment for Sustainable Water Management

Our project will develop green, low-cost
extraction and passive sampling tools, and combine HRMS discovery (suspect and
non-target screening) with targeted LC-MS/MS methods that water utilities can
run routinely. We will measure how natural and engineered barriers
(nature-based solutions, photocatalytic treatment) remove or transform these
chemicals in case studies from source to tap. The results will feed GIS/machine
learning models and a decision-support tool, co-designed with water utilities
and authorities, for prioritisation, monitoring design and choice of mitigation
measures.
Main topic: Topic 1 (links to Topics 2 and 3).

water quality, decision-making, monitoring

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