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

准确识别威胁、评估风险和部署优先级的对策以减轻水污染物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，污染物监测主要针对淡水。在处理过的废水、水生环境和再生水中出现的新出现的污染物和病原体日益引起人们对环境和公共卫生的关注。因此，需要实时快速检测污染，以确保适当和及时的反应。EARLYWATER的目的是设计和应用现代监测和分析方法，以近实时地检测和预测废水和再生水中污染物的发生。EARLYWATER将为ECs和病原体威胁检测以及相关风险提供近乎实时的早期预警系统。它将成为应对事件的有效前瞻性决策支持解决方案，促进基于证据的决策。在MSCA项目下，该研究员将通过加入主办机构（伦敦布鲁内尔大学）过程和水工程领域的高级数据采集技术、数据分析、系统建模、仿真和应用控制专家，并在另外两所欧盟学术机构（马尔凯理工大学和代尔夫特理工大学）接受进一步的补充培训，并与工业界（雅各布斯英国）合作，提高自己的知识。该培训计划将拓宽奖学金获得者在这些有前途和快速发展的领域的技能和职业前景。该项目的研究结果将有助于水和废水部门的智能化。研究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。

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.