This book explores the integration of nanotechnology and artificial intelligence (AI) to address the pressing global challenge of air pollution. With increasing concerns over public health and environmental sustainability, there is a critical need for advanced, efficient, and scalable solutions. This volume presents a comprehensive perspective on how nano-enabled materials and AI-driven approaches are transforming air pollution monitoring, control, and management.The book brings together fundamental insights and advanced developments in nanoparticle-based filtration systems, catalytic degradation mechanisms, and functionalized nanomaterials for selective pollutant removal. It also critically examines the environmental and health implications of deploying nanomaterials, ensuring a balanced and responsible approach to technological advancement. Alongside material innovations, the book highlights the growing role of artificial intelligence in air quality monitoring, emphasising machine learning techniques, predictive modelling, and autonomous sensing technologies that enable real-time analysis and data-driven decision-making. Practical implementation aspects are addressed through discussions on urban air pollution management strategies and global perspectives on the adoption of nano–AI technologies across diverse environmental settings. The book further extends its scope to sustainability assessment, covering life cycle analysis, socioeconomic implications, and the challenges associated with large-scale deployment. Emerging trends and innovations are also explored, offering a forward-looking perspective on the evolution of intelligent air pollution control systems.By bridging the gap among materials science, artificial intelligence, and environmental engineering, this book serves as a valuable resource for researchers, academics, policymakers, and industry professionals working toward sustainable air quality management.
