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Nexus of AI, Climatology, and Urbanism for Smart Cities
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This book examines the intersection of artificial intelligence, climatology, and urban planning for smart city development, exploring how data-driven technologies can address climate change challenges including microplastics, air pollution, and urban migration. It covers topics including smart governance, green transportation, and water management for engineers, policymakers, and environmental scientists.
Climate change continues to present challenges in both urbanism, technological innovation, and smart design. The role of global smart cities and AI is crucial in addressing this issue. This nexus empowers city planners and policymakers to leverage data-driven insights for sustainable development, enhancing our resilience against environmental impacts while improving the quality of urban life. Urban architecture, migration, microplastics, environmental changes, and air pollution are among the significant contributors to climate change, and effective solutions through international collaboration have become increasingly important. Finding solutions for climate change through smart urbanization, AI, and mapping, among other technologies, is necessary to implement effective change for a greener, sustainable future. Nexus of AI, Climatology, and Urbanism for Smart Cities explores the impact of intelligent technologies on the environment and urban development. The intersections of climatology, AI, and urbanism for smart city development are examined with strong emphasis on effective solutions for new climate policies, architectural design, engineering sustainability, and green transportation. This book covers topics such as assistive technology, smart governance, and water management, and is a useful resource for computer engineers, climatologists, environmental scientists, urban designers, business owners, policymakers, researchers, and academicians.
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Integrating AI with Advanced Sensor Technologies for Real‐Time Monitoring
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Researchers explored how combining AI-driven machine learning with advanced sensor platforms enables real-time, large-scale microplastic monitoring across aquatic, soil, and urban environments, demonstrating that satellite-derived models paired with laboratory data can estimate microplastic concentrations accurately and identify pollution hotspots to support targeted mitigation policy.
Artificial Intelligence and Environmental Challenges
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This book pulls together research on how AI can help tackle environmental problems, from predicting solar and wind energy to spotting solar panel malfunctions to simulating how nanoplastics interact with living cells. The bottom line: AI shows real promise, but its usefulness depends heavily on having good-quality data and results that humans can actually understand and trust—especially since decisions about pollution, plastics exposure, and climate ultimately require human judgment, not just algorithms. For everyday health, this matters because better AI tools could eventually improve our ability to track air quality, emissions, and plastic contamination that affect the air we breathe and the
The Role of Artificial Intelligence in Microplastic Pollution Studies and Management
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This review explores how artificial intelligence is transforming microplastic research, from automating detection in microscopy images and spectral analysis to predicting how plastics interact with pollutants and living organisms. AI-powered sensors and real-time monitoring systems are also being integrated into wastewater treatment to reduce microplastic release, making the technology a powerful tool for both understanding and managing plastic pollution.
Advancing environmental sustainability through emerging AI-based monitoring and mitigation strategies for microplastic pollution in aquatic ecosystems
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This review explores how artificial intelligence technologies, including machine learning, computer vision, and remote sensing, can improve the detection, tracking, and removal of microplastic pollution in waterways. Researchers found that AI-based approaches offer significant advantages over traditional monitoring methods for identifying microplastic distribution patterns. The study highlights the potential of AI-driven robotic systems to support more efficient and scalable environmental cleanup efforts.
Environmental Pollution Control: Measures, Prevention and Safety Management
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This book pulls together existing research on how pollution in our air, water, and soil threatens both human health and our food supply, covering issues like plastic waste, industrial pollution, and carbon emissions. It matters because these forms of pollution don't just harm the environment—they can contaminate the food we eat and disproportionately hurt vulnerable communities, making pollution control a public health issue, not just an environmental one. The book also looks at practical solutions, including new technology like AI, that could help monitor and reduce these risks going forward.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.