Advanced Digital Technologies for Sustainable Urban Water Management in South Tyrol

Abstract

This study presents the initial findings from the ORCHESTRA project, which aims to enhance sustainable and resilient urban water management in South Tyrol. The project combines advanced digital technologies, such as digital twins, Artificial Intelligence (AI), and machine learning, with Nature-based Solutions (NbS) and green technologies to develop an intelligent, adaptive water management system. The application of digital twins is crucial as it provides real-time simulation and monitoring of urban water systems. Moreover, AI-driven analysis of IoT sensor data constitutes the basis for dynamic decision-making in the context of predictive water management and optimised network safety. The integration of digital technologies and green infrastructure will support sustainable urban development by contributing to informed urban planning while promoting resilience. Two case studies in Bolzano have been identified to demonstrate the practical application of digital twins and nature- based solutions (NbS). This research underscores the role of digital technologies in promoting sustainability within urban landscapes while advocating for a comprehensive, interdisciplinary approach to urban planning. Future steps include the expansion of the digital twin framework, alongside detailed cost-benefit analyses, stakeholders engagement, and the identification and resolution of implementation challenges to advance sustainable, intelligent, and resilient cities.