Data driven implementation of hybrid nature based solutions for preventing and managing diffuse pollution from urban water runoff

D4RUNOFF overall goal is to create a novel framework for preventing and managing diffuse pollution from urban water runoff through the data driven design of hybrid nature based solutions (NBS) adapted to the current and future risk scenarios solutions. This innovative approach will support water utilities, urban planners and policy makers in defining urban runoff and storm water management plans to enhance the quality of the water discharged to water bodies, considering the Climate Change.D4RUNOFF will have the following specific objectives (SO):- SO1 Increase the knowledge regarding urban runoff pollution sources and the impacts through the development of novel high-resolution suspect and screening & non target screening NTS methods for Contaminants of Emerging Concern (CECs) detection and identification of the major CECs and relevant pollutantspresent in storm water source and assessing their fate in NBS- SO2 Development of cost effective advanced online sensors for targeted CECs, metals and microplastics for improving the monitoring of the water pollution derived from urban runoff- SO3 Enhancing the implementation of advanced preventive and mitigation strategies to reduce diffuse pollution through the development of and innovative multiple-criteria decision analysis (MCDA) methodology integrated in Geographical Information System (GIS) for hybrid NBS design - SO4 Development of a risk assessment and mapping methodology to identify diffuse pollution hotspots for specific sites & considering climate change effects.- SO5 Development of an AI based platform to facilitate the development of effective urban runoff and storm water management plans based on informed decisions- SO6 Implementation and validation of D4RUNOFF approach in 3 case studies and 5 replication sites- SO7 knowledge transfer and engagement with stakeholders, including civil society