The Fellowship will pioneer the concept of integrated numerical modelling for coastal defence design by combining two different classes of numerical model for wave transformation in the coastal zone and wave-structure interaction.This will enable simultaneous investigation of those physical processes that act at very different spatial scales and influence wave propagation and the performance of coastal structures during extreme storms and flooding. The Fellowship is motivated by the pressing need for the coastal research community to provide for advanced design tools that can help designers and coastal communities in optimizing the resources needed for designing, building and maintaining coastal defences.The Fellow will lead a research team that will develop these tools using an open source platform. A modular approach will be pursued so that at the end of each task of the project a self-standing, well-tested numerical tool can be delivered. The research will then focus on the most challenging task: interfacing a coastal model with one model able to investigate the local-scale processes that act in the near field of coastal structures and thereby to determine their performance. Additionally, a large-scale wave generation and a surge models will be interface with the coastal model. This integrated model will be first built for one-dimensional wave propagation and therefore the fully two-dimensional case. This model will have the remarkable capability of describing the features of the wave propagation and describe the three-dimensional nature of the flow in the near field of structures of interest. In order to be efficient and to benefit coastal designers, this interfacing should be possible both for non-breaking waves and breaking wave conditions. This is particularly challenging since it will require that the two-dimensional coastal model be equipped with an accurate sub-model to describe the turbulence transport due to wave breaking. The research team will also establish a methodology able to measure the uncertainty of the prediction of the numerical model at hand.The research objectives will be measured by the accuracy of the simulations of selected test cases found in literature. The project will culminate in the analysis of a test case, involving a realistic scenario of coastal flooding in the presence of defence structures, which will measure the benefits of the use of an integrated modelling approach with respect to the state of the art in coastal design.

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.

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.