AI and ML Approaches to Climate-Resilient Infrastructure: Building for a Sustainable Future
Abstract
Infrastructure resilience is critical in adapting to climate change impacts. This paper investigates the use of AI and ML for designing and maintaining infrastructure that withstands environmental stresses, such as extreme weather events. We discuss AI algorithms that analyze climate data to predict and manage risks associated with floods, earthquakes, and temperature fluctuations, thereby informing infrastructure planning and maintenance. Case studies in coastal and urban areas demonstrate the effectiveness of these approaches in enhancing resilience, with potential implications for policy development in sustainable infrastructure planning.
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