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/2
• 负责人: Evina Katsou
• 金额: $ 15.64万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX02380X%2F2
• 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.

准确识别威胁、估计风险和优先部署缓解水污染物的对策对研究人员和从业人员构成了重大挑战。应对这些挑战的第一步是创造方法和技术来收集足够的数据，以更好地了解当前的事态。目前，对淡水进行污染物监测。新出现的污染物（EC）和病原体在处理后的废水，水生环境和再生水的存在正在增加环境和公众健康的关注。因此，需要实时快速检测污染，以确保适当和及时的反应。EARLYWATER的目标是设计和应用现代监测和分析方法，近实时地检测和预测废水和再生水中的污染物。EARLYWATER将为EC和病原体威胁检测以及相关风险提供近实时的预警系统。它将成为一个有效的前瞻性决策支持解决方案，用于应对事件，促进循证决策。在MSCA计划下，研究员将通过与主机的先进数据采集技术，数据分析，系统建模，模拟和应用控制方面的专家合作来增强她的知识。（布鲁内尔大学伦敦），在另外两个欧盟学术机构接受进一步的补充培训（马尔凯理工大学和德尔夫特理工大学）以及与工业界的合作（英国雅各布斯）。培训计划将扩大研究员的技能和她的职业前景，在这些有前途的和迅速增长的领域。该项目的研究结果将有助于水和废水部门的智能化。其结果还将通过与教育机构和公众的接触产生教育和社会影响。