Smart Water Quality Monitoring
Artificial Intelligence, Automation and Analytical Chemistry
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Beschreibung
This book offers a comprehensive overview of the state-of-the-art techniques for monitoring water quality, leveraging artificial intelligence (AI), IoT technologies, and autonomous vehicles to offer groundbreaking approaches to environmental protection. With contributions from leading experts in electronic engineering and marine sciences, this book presents a multidisciplinary perspective on solving one of the most pressing issues facing our planet: ensuring clean and sustainable water resources.
The chapters cover key concepts such as AI-driven platforms for ecosystem surveillance; chemical analytics for detecting pollutants; and predictive models for assessing future water quality scenarios. Particular attention is given to autonomous systems for dynamic data collection, where readers will learn more about the potential and research challenges of autonomous vehicles equipped with physico-chemical sensors and vision cameras to collect real-time data.
Through empirical research and theoretical insights, this book invites readers to explore innovative methodologies that promise not only to enhance understanding of water ecosystems but also to revolutionize how to monitor them.
Aimed at scholars and professionals across disciplines such as environmental engineering, marine science, sustainability studies, and information technology with an interest in ecological preservation, the book offers invaluable insights into developing effective monitoring systems that can adapt to the challenges posed by global environmental change. It also serves as an essential resource for institutions seeking to equip their libraries with the latest scientific advancements in water ecosystem management.
This book offers a comprehensive overview of the state-of-the-art techniques for monitoring water quality, leveraging artificial intelligence (AI), IoT technologies, and autonomous vehicles to offer groundbreaking approaches to environmental protection. With contributions from leading experts in electronic engineering and marine sciences, this book presents a multidisciplinary perspective on solving one of the most pressing issues facing our planet: ensuring clean and sustainable water resources.
The chapters cover key concepts such as AI-driven platforms for ecosystem surveillance; chemical analytics for detecting pollutants; and predictive models for assessing future water quality scenarios. Particular attention is given to autonomous systems for dynamic data collection, where readers will learn more about the potential and research challenges of autonomous vehicles equipped with physico-chemical sensors and vision cameras to collect real-time data.
Through empirical research and theoretical insights, this book invites readers to explore innovative methodologies that promise not only to enhance understanding of water ecosystems but also to revolutionize how to monitor them.
Aimed at scholars and professionals across disciplines such as environmental engineering, marine science, sustainability studies, and information technology with an interest in ecological preservation, the book offers invaluable insights into developing effective monitoring systems that can adapt to the challenges posed by global environmental change. It also serves as an essential resource for institutions seeking to equip their libraries with the latest scientific advancements in water ecosystem management.
Covers innovative solutions for monitoring water ecosystems Supports practical applications in policy-making and environmental management Advances the UN’s sustainable development goals, mainly SDG6 (Clean Water and Sanitation)
Autor*in
Daniel Gutiérrez
Themen in »Smart Water Quality Monitoring«
Water Monitoring Water Quality Water Analytics Artificial Intelligence Automatic Control Water Physical and Chemical analysis Autonomous Vehicles Water security Hyperspectral technology Deep Reinforcement Learning Unmanned robot-assisted hydrobiological monitoring