Aims
The aims of this proposal are to develop a model to understand the long-term distribution of microplastics (MPs), validate the model via a Citizen Science campaign, and to identify MP hotspots to inform regenerative interventions.
Context
Plastic waste threatens aquatic life, with plastic pollution costing the global economy approximately Ā£10 billion/year. Efforts like The Ocean Cleanup remove macro-scale plastics by sieving the water surface, but microplastics (MPs, particles <5mm) are hard to detect and remove. MPs do not behave like dissolved pollutants (pesticides, fertilizers, legacy contaminants), hence drawing water samples and estimating MP concentration is also futile. Thus, while effective pollution control strategies exist for large objects (e.g. plastic bottles) and extremely tiny contaminants like dissolved tracers, MPs present a unique challenge. Their tiny yet finite size enhances bioavailability, easily entering the food chain and potentially causing human health risks such as atherosclerosis and cardiovascular problems.
Methodologies
This highly interdisciplinary proposal combines ideas from mathematics/statistics, fluid dynamics, environmental sciences, engineering, and social sciences. The project will:
- Perform Computational Fluid Dynamics (CFD) simulations of turbulent open channel flows with accurate turbulence modelling.
- Develop Lagrangian particle tracking techniques to substantiate the research hypothesis that MPs behave substantially different to tracers.
- Design an optimal data collection campaign for a Citizen Science project.
- Validate and calibrate the model via Bayesian frameworks.
Potential impact
Wastewater treatment plant effluent is the primary source of MPs in UK rivers. Across Europe, such discharges add approximately 520,000 tonnes MPs to rivers annually. Setting effective limits requires accurate MP concentration estimates, yet current monitoring treats pollutants as tracers, unlike inertial MPs. This first-of-its-kind project closes that gap by revealing the fluid mechanics of MP clustering in turbulent open-channel flow and validating predictions with Citizen Scientists. By pinpointing hotspots, back-tracing sources, and designing targeted capture and retrofit options, we enable regenerative innovation: interventions that restore watercourse function while reducing future MP release. The resulting evidence base will support smarter permitting, investment prioritisation, and scalable policies for cleaner, resilient rivers.
Diversity statement
Our research community thrives on the diversity of students and staff which helps to make the University of Dundee a UK university of choice for postgraduate research. We welcome applications from all talented individuals and are committed to widening access to those who have the ability and potential to benefit from higher education.
How to apply
The application process is a 2-stage process:
- Email Dr Anirban Guha for informal enquiries about the project as early as possible ahead of the deadline and establish suitability of candidacy, and any particular needs that are relevant to the project.
- Formal applications can be made via the Scholarship Application Form.
From the Supervisor-led selection process each project will generate a āPreferred Candidateā. Final appointment of Studentships will be made by formal interviews during the week commencing 26th January 2026, involving an interview panel of Programme Directors and current Regnr8-i scholars. Successful candidates should be available to start their Studentships in October 2026.
