Real time forecasting of catchment water quality to improve supply resilience

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This project will address several questions including (but not limited to)Of the potential biological and chemical contaminants to drinking water supply, which currently pose the most significant risks to both public health and treatment efficiency given likely sources, transport mechanisms and potential hazard?Of these priority substances, what feasible monitoring and/or modelling strategies are currently available to quantify risks and inform and optimise abstraction management approaches? For example, what is the best combination of modelling and monitoring tools to establish real time water quality forecasts/warning systems?Given an understanding of acute water quality impacts to raw water supply, how can 'good' water abstraction decisions be made given water resource requirements? I.e. how should decisions on water quality vs quantity be made in terms of water abstraction?