Development of a risk based approach to surface water abstraction 

Vaida Suslovaite

Diffuse pollution resulting from rainfall runoff processes is known to adversely affect surface water quality, including in areas where surface water is used for drinking water supply.

 

Designing and implementing targeted mitigation measures to reduce peak concentrations of contaminants is challenging due to the spatial and temporal variability of rainfall-runoff processes. Receiving water pollutant concentrations are a function of rainfall processes, catchment characteristics, receiving water conditions and the locations of pollution sources (i.e. spatial distribution of ‘high risk’ land use types).

 

This study aims to develop modelling tools to forecast risk to water abstraction systems from high levels of bacteriological loading following rainfall events and methodologies to efficiently target resources to reduce peak concentrations.

 

The results to be used to inform catchment management groups of the most effective locations for the implementation of diffuse pollution mitigation measures as well as rank and prioritise specific catchment areas.

  

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Supervisor

Dr James Shucksmith

Senior Lecturer in Water Engineering

Co-Supervisors

Professor Vanessa Speight

Professor of Integrated Water Systems