Urban flooding, intensified by climate change and rapid urbanization, presents a critical challenge to global resilience. Current approaches often operate in silos, with a significant gap in the comparative and integrated assessment of smart-technology versus nature-based solution (NbS) strategies across diverse global contexts. This study addresses this gap through a systematic analysis of urban flood management in selected cities from China, the USA, Europe, and Southeast Asia, chosen to represent varied climates, topographies, and development levels. Our findings reveal distinct regional paradigms: Chinese cities exemplify a rapid, engineering-focused evolution; US cities grapple with aging infrastructure and coastal threats; European cities demonstrate advanced basin-wide governance; and Southeast Asian cities face challenges of infrastructure adequacy and transboundary coordination. Crucially, the analysis demonstrates that the most effective and resilient outcomes emerge from hybrid strategies that synergistically combine smart technologies, such as AI, IoT sensors, and remote sensing, with NbS, such as sponge city concepts and green infrastructure. This integrated approach simultaneously enhances predictive forecasting, real-time control, and watershed restoration, while also supporting carbon sequestration goals. The study concludes that transcending the traditional dichotomy between “gray” and “green” infrastructure is paramount. We propose a forward-looking framework for urban flood resilience that champions adaptive, data-informed governance, context-sensitive hybrid solutions, and strengthened international cooperation to build sustainable and equitable urban futures in the face of escalating climate risks.
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