AI-Driven Environmental Pollution Management

This book provides a comprehensive overview of the challenges caused by environmental pollution on a global scale, and delves into the intricate sources of air, water, and noise pollution. It discusses cutting-edge technologies such as IoT-based systems and AI integration for pollution detection and monitoring networks. With a focus on machine learning and deep learning models, the book provides insights into assessing, predicting, and mitigating the impact of pollution. Furthermore, it examines the implementation of AI-driven strategies for pollution control and reduction, alongside considerations for urban planning and sustainable infrastructure development. This indispensable resource navigates the social, policy, and economic implications of employing AI in environmental governance, emphasizing the importance of global cooperation for effective pollution management.
The book will help readers to:1. Understand the adverse effect of environmental pollution in the era of new age. 2. Implement advanced management techniques that integrate sustainability into various environmental business economics.3. Explore effective environmental control and mitigation strategies using Internet of Things technologies and data analytics.4. Leverage AI/ML/DL for accurate environmental monitoring, modelling, prediction and decision-making.5. Navigate the complexities of Industry 4.0 to achieve sustainable development goals.

List of contents

Understanding Environmental Pollution.- Advanced Monitoring Techniques.- Artificial Intelligence In Pollution Management.- Economic And Sustainable Solutions.- Technological Innovations For Sustainability.- Index.

Product details

• Assisted by: Atul Fegade (Editor), Mustafa Kamal (Editor), Shashi Kant Tiwari (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Release: 11.11.2025
• EAN: 9783031962424
• ISBN: 978-3-0-3196242-4
• No. of pages: 300
• Illustrations: Approx. 300 p. 100 illus. in color.
• Series: Climate Risks and Solutions
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Umweltmanagement, machine learning, Maschinelles Lernen, Artificial Intelligence, Deep Learning, Internet of things, Circular Economy, Biogeographie, Data Analytics, Pollution, Environmental Management, Umweltverschmutzung und Gefahren für die Umwelt, Biogeosciences, Environmental pollution, Green Technology, Occupational hazards, Ecological Contaminations, Environment related Laws regulation and guidelines, Environmental Impact Assessment (EIA)