Smart Technologies for Water Engineering & Sustainability – serie

Blockchain Technology in Water Management and New Energy Economy explores the transformative role of blockchain in addressing two of the most pressing global challenges: efficient water resource management and the transition to a sustainable energy future. As climate change, population growth, and urbanization exert increasing pressure on natural resources, traditional systems for managing water and energy are proving inadequate. This book presents blockchain as a powerful enabler of transparency, decentralization, and trust in resource governance, offering innovative solutions that can reshape these critical sectors. The book is divided into two major sections. The first focuses on water management, covering how blockchain can enhance monitoring, prevent water theft, support real-time quality assessments, and enable equitable distribution through smart contracts. It examines case studies where decentralized ledger technology has improved water conservation, optimized irrigation systems in agriculture, and facilitated peer-to-peer water trading.The second section delves into the new energy economy, highlighting blockchain’s potential in supporting renewable energy integration, smart grids, decentralized energy markets, and carbon credit tracking. It discusses how blockchain can empower consumers to become "prosumers" — both producing and consuming energy — while maintaining secure and traceable transactions. Additionally, the book explores cross-cutting themes such as data privacy, regulatory challenges, scalability, and the socio-economic impact of blockchain adoption. Through real-world examples, technical insights, and forward-looking perspectives, this book provides a comprehensive guide for researchers, policy makers, engineers, and sustainability advocates seeking to understand and apply blockchain technology for a greener and more resource-efficient future.

Integrated Smart Technologies for Sustainable Water Systems using Computer Applications presents a comprehensive exploration of how cutting-edge computational technologies are revolutionizing water resource management. This multidisciplinary guide demonstrates the practical integration of artificial intelligence (AI), Internet of Things (IoT) systems, and emerging digital technologies to address critical challenges in hydrology, hydraulics, water quality, and smart infrastructure development.This book systematically examines the application of advanced technologies including AI, Machine Learning, IoT, Blockchain, Cloud and Edge Computing, and Geographic Information Systems across diverse water management scenarios. Through theoretical models, algorithmic approaches, and real-world case studies from both developed and developing countries, it illustrates key findings in AI-driven water demand and quality predictions, IoT-enabled real-time distribution network monitoring, blockchain applications for transparent water resource transactions, intelligent flood forecasting systems, automated irrigation methods, wastewater treatment automation, and digital twin development for dynamic infrastructure modeling. The work uniquely incorporates emerging concepts such as explainable AI, climate resilience frameworks, and digital twin technologies, positioning it at the forefront of current industry and academic research trends.This essential resource is designed for researchers, industry professionals, software developers, educators, and students specializing in water resource management and sustainable technology applications. The content balances foundational insights with advanced methodologies, making it equally valuable for newcomers seeking a comprehensive understanding and experienced practitioners looking to implement cutting-edge solutions for sustainable water system management.

This book aims to explore multidisciplinary perspectives on how AI can support innovation in water engineering and climate adaptation strategies. It brings together contributions from experts in environmental science, hydrology, data science, and sustainability studies to showcase state-of-the-art applications, identify limitations, and envision future directions where AI becomes a cornerstone of water resilience and climate-smart planning. Water is one of the most critical resources for life, economic development, and environmental balance. However, increasing pressures from climate change, population growth, and urbanization are making water management more complex, uncertain, and fragile. In this context, Artificial Intelligence (AI) has emerged as a powerful technological ally, capable of transforming how we model, manage, and preserve water resources. The book aims to bridge the gap between data science, engineering, and policymaking by showcasing innovative AI-driven solutions that address water-related challenges in the context of global sustainability goals. This book can serve as a valuable resource for students interested in artificial intelligence, environmental engineering, climate science, and sustainable development. Additionally, it can be a key reference for researchers and academics as it compiles the latest advancements and interdisciplinary approaches in these fields.

Water contamination is a pressing global concern, impacting public health, ecosystems, and economic development. This edited volume presents cutting-edge advancements in chemical and biological strategies for identifying, analyzing, and eliminating contaminants from water systems. It covers topics ranging from micro- and nanoplastics, engineered bacteria, fluorescent sensors, and supramolecular chemistry to AI-driven monitoring tools and nano-photocatalysis.The book is structured to provide a holistic understanding of emerging pollutants—such as pharmaceuticals, endocrine disruptors, microplastics, and heavy metals—and advanced solutions tailored for both urban and rural water treatment systems. With inputs from interdisciplinary experts, this book bridges the gap between academic research and practical implementation, offering guidance to researchers, engineers, policymakers, and students.