Definition of an Integrated Theoretical Framework to Assess the NBS Suitability in Flood Risk Areas

Urban flood events are strongly affecting cities by compromising their whole system. Additionally, these events are becoming even more frequent due to the climate change effect. In this context, the urban and territorial planning require changing to plan the adaptation scenarios by considering the Nature-Based Solutions (NBS). Consequently, this study aims to define an integrated theoretical framework to support decision makers, planners, technicians, freelances and public bodies in the assessment and design in the assessment of the more suitable NBS adaptation scenario. The proposed method includes InVEST modelling to quantify in biophysical terms the runoff mitigation effect due to NBS implementation. By combining this method with a novel extension of a tool of analysis and assessment: the D-A’WOT Analysis. This extension proposes the dynamic approach to the A’WOT to identify the dependent and independent variables that characterise a complex spatial system, as well as to solve the decisional problem by de-composing it in its simpler parts through a hierarchical approach. In this way, it can facilitate the identification of indicators which may support the identification of the most suitable alternative. The integration of the InVEST modelling and the multicriteria approach can trigger fruitful insights in the context of urban planning and design of site-specific interventions in priority areas and scaling up investments. On the one hand to contrast at flood risk and on the other hand to generate multiple benefits for a safer, sustainable and resilient quality of life