Will develop decision-support tools to facilitate dynamic use of alternative water sources which requires good quality, real-time data, adequate models and the consideration of economic and environmental factors. One of the critical challenges for strategic management of multi-source systems is the acquisition of reliable, real-time data, including chemical and biological water quality parameters. In recent years, there have been substantial advances in the development of online sensors for chemical parameters, as well as the use of rapid sequencing tools for biological characterisation of aquatic samples.
Research questions
How can rapid eDNA sequencing, and online real-time monitoring be used to provide early warning of contaminations (e.g., nutrients and blue-green algae blooms) in water sources? Which chemicals of emerging concern can be used as indicators in water recycling processes? How can we integrate new online data onto decision-support tools for adaptative management? How can diverse bulk water users, including energy production, optimise available water during drought? How can we best use evolving sensor technologies (remote sensing, in-situ sensors) to inform water management and policy decisions on water supply and quality management?
Methods
This project will work with Eco Detection and BSL to develop comprehensive and affordable approaches to monitor water quality in real-time. Online monitoring of water quality, and DNA sequencing technologies and bioassays, will be adapted for water source biomonitoring. Advanced analytical tools for chemicals of concern, will be used and frameworks for risk assessment coupled with decision-support tools.