EARLYWATER - An integrated early warning system to control emerging pollutants and pathogens in reclaimed water

EARLYWATER - 控制再生水中新出现的污染物和病原体的综合预警系统

• 批准号: EP/X02380X/1
• 负责人: Evina Katsou
• 金额: $ 26万
• 依托单位: Brunel University London
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX02380X%2F1
• 关键词: EARLYWATER; integrated; early; warning; system

The accurate identification of threats, the estimation of risks and deployment-prioritization of countermeasures to mitigate against water pollutants pose major challenges for researchers and practitioners. The first step in addressing these challenges is to create the methods and technologies to collect enough data to build a better picture of the current state of affair. At present, pollutants monitoring is conducted on freshwater. The presence of emerging contaminants (ECs) and pathogens in treated effluents, aquatic environment and reclaimed water is increasing environmental and public health concerns. Therefore, there is a need for rapid detection of contamination in real-time to ensure appropriate and timely response. The aim of EARLYWATER is to design and apply modern monitoring and analytical methods for detection and prediction of pollutants occurrence in wastewater and reclaimed water in near real-time. EARLYWATER will deliver an early warning system for ECs and pathogen threats detection and associated risks in near real-time. It will become an effective look-ahead decision support solution for responding to events, facilitating evidence-based decision making. Under the MSCA programme, the Fellow will enhance her knowledge by joining specialists in advanced data acquisition technologies, data analytics, systems modelling, simulation and applied control in Process and Water Engineering at the host (Brunel University London), with further and complementary training in two other EU academic institutes (The Marche Polytechnic University and the Delft University of Technology) and collaboration with industry (Jacobs UK). The training program will broaden the Fellow's skills and her career prospects in these promising and rapidly growing fields. The project's findings will contribute to the smartification of water, and wastewater sectors. The results will also make educational and social impact through engagement with educational institutions and the public.

对威胁的准确识别，风险的估计以及对抗水污染物的对策的部署优先考虑对研究人员和从业者构成了重大挑战。解决这些挑战的第一步是创建方法和技术，以收集足够的数据，以更好地了解当前事件状态。目前，污染物监测是在淡水上进行的。经过处理的废水，水生环境和回收水的存在污染物（EC）和病原体的存在正在增加环境和公共卫生的问题。因此，需要实时快速检测污染，以确保适当和及时的响应。早期水的目的是设计和应用现代监测和分析方法，以在几乎实时实时地进行废水中检测和预测污染物的发生和回收水。早期水将在近乎实时实时提供EC和病原体威胁检测和相关风险的预警系统。它将成为响应事件的有效外观决策支持解决方案，从而促进基于证据的决策。在MSCA计划下，该研究员将通过加入高级数据采集技术，数据分析，系统建模，仿真和应用控制的专家（伦敦布鲁内尔大学），并在其他两个欧盟学术机构（Marche Polytechnic University以及DELFELT THE DELFELT THE DELFELTINE INSICORTION）和INFORKATION（JAC）和INKOBS（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC）（JAC），培训计划将在这些有前途且快速发展的领域中扩大同胞的技能和职业前景。该项目的发现将有助于水的智能化和废水领域。结果还将通过与教育机构和公众的参与来产生教育和社会的影响。