Real time forecasting of catchment water quality to improve supply resilience

该项目将解决几个问题，包括（但不限于）潜在的生物和化学污染物的饮用水供应，目前构成最重大的风险，公共卫生和处理效率鉴于可能的来源，运输机制和潜在的危害？在这些优先物质中，目前有哪些可行的监测和/或建模战略可用于量化风险，并告知和优化提取管理方法？例如，什么是建立真实的实时水质预报/警报系统的模型和监测工具的最佳组合？在了解了水质对原水供应的严重影响后，如何在满足水资源需求的情况下做出“良好”的取水决策？也就是说，在取水方面，应该如何决定水质与水量？

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?