Real time forecasting of catchment water quality to improve supply resilience

实时预测流域水质，提高供水弹性

• 批准号: 2594326
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2594326
• 关键词: Real; time; forecasting; catchment; water

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?

该项目将解决几个问题，包括（但不限于）饮用水供应中潜在的生物和化学污染物，考虑到可能的来源、运输机制和潜在危害，这些污染物目前对公共卫生和处理效率构成最重大的风险？在这些优先物质中，目前有哪些可行的监测和/或建模策略可用于量化风险并告知和优化抽取管理方法？例如，建立实时水质预测/预警系统的建模和监测工具的最佳组合是什么？在了解水质对原水供应的严重影响的情况下，如何在考虑到水资源需求的情况下做出“良好”的取水决策？ IE。在取水方面应如何做出水质与水量的决策？