Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention outlines how nanotechnology and space technology could be applied for the detection of disaster risks in early stages, using cheap sensors, cheap constellations of low Earth orbit (LEO) satellites, and smart wireless networks with artificial intelligence (AI) tools. Nanomaterial-based sensors (nanosensors) can offer several advantages over their micro-counterparts, such as lower power or self-powered consumption, high sensitivity, lower concentration of analytes, and smaller interaction distances between the object and the sensor. Besides this, with the support of AI tools, such as fuzzy logic, genetic algorithms, neural networks, and ambient intelligence, sensor systems are becoming smarter when a large number of sensors are used. This book is an important reference source for materials scientists, engineers, and environmental scientists who are seeking to understand how nanotechnology-based solutions can help mitigate natural disasters. - Shows how nanotechnology-based solutions can be combined with space technology to provide more effective disaster management solutions - Explores the best materials for manufacturing different types of nanotechnology-based remote sensing devices - Assesses the challenges of creating a nanotechnology-based disaster mitigation system in a cost-effective way

In a world where the relentless force of natural and man-made disasters threatens societies, the need for effective disaster management has never been more critical. Predicting Natural Disasters With AI and Machine Learning addresses the challenges of disasters and charts a path toward proactive solutions by applying artificial intelligence (AI) and machine learning (ML). This book begins by interpreting the nature of disasters, clearly distinguishing between natural and man-made hazards. It delves into the intricacies of disaster risk reduction (DRR), emphasizing the human contribution to most disasters. Recognizing the necessity for a multifaceted approach, the book advocates the four ‘R’s - Risk Mitigation, Response Readiness, Response Execution, and Recovery - as integral components of comprehensive disaster management. This book explores various AI and ML applications designed to predict, manage, and mitigate the impact of natural disasters, focusing on natural language processing, and early warning systems. The contrast between weak AI, simulating human intelligence for specific tasks, and strong AI, capable of autonomous problem-solving, is thoroughly examined in the context of disaster management. Its chapters systematically address critical issues, including real-world data handling, challenges related to data accessibility, completeness, security, privacy, and ethical considerations.

In a world experiencing increasingly intense hydrometeorological events driven by climate change, the need for effective solutions is paramount. Modeling and Monitoring Extreme Hydrometeorological Events presents a cutting-edge exploration of the challenges posed by flash droughts and floods, offering innovative methodologies and tools to address these global issues. Through a combination of computer modeling, remote sensing, artificial intelligence, and case studies, this book provides a comprehensive framework for understanding and mitigating the impacts of extreme hydrometeorological events. It examines the rapid emergence of flash droughts, which bring devastating consequences to agriculture, water resources, ecosystems, and public health. The book also delves into the complex dynamics of flash floods, exploring their causes, impacts, and potential solutions. With a focus on water management, the book addresses knowledge gaps, provides adaptation and mitigation strategies, and emphasizes the importance of climate change considerations. It aims to empower scientists, policymakers, professionals, and educators to develop effective policies and decision-making frameworks to combat the increasing risks posed by extreme hydrometeorological events. Written by a diverse team of experts in hydrology, hydrometeorology, emergency management, civil engineering, and related fields, this book offers valuable insights and practical tools for researchers, professors, graduate students, policymakers, and professionals.

Climate change is reshaping our world with increasing intensity and frequency, resulting in devastating hurricanes, catastrophic floods, prolonged droughts, and wildfires. As these extreme events become more frequent, the need for comprehensive strategies to manage risks and adapt to new realities is more urgent than ever.Climate Change and Risk Management - Strategies, Analysis, and Adaptation offers a multidisciplinary approach to understanding and addressing the complex challenges posed by climate change. This volume provides essential insights into risk management, climate data analysis, and the use of technological tools to predict and mitigate natural disasters. It highlights innovative methodologies for summarizing complex climate data, modeling tropical cyclones, and employing WebGIS technology for multi-risk analysis in coastal areas. Readers will find practical applications through detailed case studies and scenario analysis, demonstrating the importance of accurate modeling in disaster preparedness and response. The book also addresses the human and policy dimensions of climate change, exploring the dynamic nature of human vulnerability and resilience, the crucial role of science-policy interfacing, and the integration of systemic risk into disaster risk reduction strategies. By presenting both theoretical frameworks and practical solutions, this volume is an invaluable resource for researchers, practitioners, and policymakers dedicated to managing and adapting to the risks posed by climate change. With its comprehensive coverage of climate change impacts and risk management strategies, this book is designed to enhance our collective understanding and capability to address one of the most pressing issues of our time. Whether you are a scientist, a policymaker, or a concerned citizen, Climate Change and Risk Management - Strategies, Analysis, and Adaptation equips you with the knowledge and tools needed to navigate the complexities of a changing climate.

Advances in Functionalized Polymer Nanocomposites: From Synthesis to Applications presents a detailed review on the synthesis, fundamental chemistry, properties, and applications of these high-performance materials. The introductory chapter provides a brief overview of the various types of organic and inorganic nanofillers used for the synthesis of polymer nanocomposites. Emphasis is placed on their fundamental chemistry, processing methods, functionalization and/or surface modification strategies. The dispersion state and their specific interaction with polymer matrices is also discussed in detail, as well as characterization techniques for functionalized nanofillers and functionalized polymer nanocomposites, and their properties, and applications. The book will be a valuable reference source for scientists, engineers, and postgraduate students, working in the field of polymer science and technology, materials science and engineering, composites, and nanocomposites. - Covers fabrication, processing, characterization, and properties of various functionalized polymer nanocomposites - Explores usage in energy storage systems, biomedical fields, environmental remediation, catalysis, gas sensing, biosensing, and electromagnetic interference (EMI) shielding - Provides information on lifecycle assessment and environmental and health impacts of these materials

Today's supply chains are becoming more complex and interconnected. As a result, traditional optimization engines struggle to cope with the increasing demands for real-time order fulfillment and inventory management. With the expansion and diversification of supply chain networks, these engines require additional support to handle the growing complexity effectively. This poses a significant challenge for supply chain professionals who must find efficient and cost-effective solutions to streamline their operations and promptly meet customer demands. Quantum Computing and Supply Chain Management: A New Era of Optimization offers a transformative solution to these challenges. By harnessing the power of quantum computing, this book explores how supply chain planners can overcome the limitations of traditional optimization engines. Quantum computing's ability to process vast amounts of data from IoT sensors in real time can revolutionize inventory management, resource allocation, and logistics within the supply chain. It provides a theoretical framework and practical examples to illustrate how quantum algorithms can enhance transparency, optimize dynamic inventory allocation, and improve supply chain resilience.

Biological and chemical warfare agents, including viruses, bacteria, and explosive and radioactive compounds, can induce illness or death in humans, animals, and plants. Plasmonic nanosensors as detection tools of these agents offer significant advantages, including rapid detection, sensitivity, selectivity, and portability. This book explores novel and updated research on different types of plasmonic nanosensors for analysis of biological and chemical threat agents. It covers a brief theory of plasmonic nanosensors, summarizes the state-of-art in the molecular recognition of biological and chemical threat agents, and describes the application of various types of nanosensors in the detection of these threat agents. This book • Brings together recent academic research from an interdisciplinary approach including chemistry, biology, and nanotechnology. • Discusses current trends and developments. • Describes applications of a variety of different types of plasmonic nanosensors. • Explores outlooks and expectations for this technology. Showcasing the latest achievements in plasmonic nanosensors, this book will appeal to researchers in materials, chemical, and environmental engineering as well as chemistry interested in exploring the application of sensors to support environmental monitoring and global health.