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Artificial Intelligence and IoT for Disaster Risk Management and Sustainable Environmental Systems

Dr. VIKRAM MADHUKAR AGONE, Dr. S. MUTHURAJAN, Dr. G. PRABHAKARAN, Mr. CHETAN S. CHAVAN

Indexed In: Google scholar

Release Date: To be updated | Copyright:©2026 | Pages: 591

DOI: To be updated Cite

ISBN10: 0 | ISBN13: 0

"Artificial Intelligence and IoT for Disaster Risk Management and Sustainable Environmental Systems" highlights the integration of AI and IoT to enhance disaster preparedness, response, and recovery. It focuses on leveraging real-time data from IoT sensors and AI algorithms to predict and mitigate the impact of natural disasters like earthquakes, floods, and wildfires. The book also explores how these technologies can foster sustainability in environmental management, improve resource efficiency, and optimize energy usage. With practical case studies and strategies, it offers innovative solutions for building resilient communities and promoting a sustainable, disaster-ready future.

This book covers the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) in disaster risk management and environmental sustainability. It discusses how AI and IoT technologies can improve disaster preparedness, response, and recovery by utilizing real-time data for decision-making and predictive modeling. The book also explores how these technologies enhance climate change monitoring, wildlife conservation, and energy efficiency. By providing practical applications, case studies, and emerging trends, the book emphasizes the role of AI and IoT in building resilient communities, minimizing environmental risks, and promoting long-term sustainability in disaster management systems.

Table Of Contents

Detailed Table Of Contents


Chapter 1

1. Artificial Intelligence and IoT Frameworks for Climate Change Monitoring and Environmental Sustainability

Taru Tevatia, Vanathi M

(Pages:37)

Chapter 2

Machine Learning–Based Disaster Prediction Systems for Floods, Landslides, and Cyclones

Vikram Madhukar Agone, Baja Sravanthi

(Pages:36)

Chapter 3

Deep Learning Approaches for Landslide Prediction and Risk Assessment

M. K. Valsakumari, Kiranmai Goli

(Pages:34)

Chapter 4

AI-Based Climate Change Impact Assessment on Ecosystems and Human Health

Pradeep Kumar Tiwari, Sameer Sonawane

(Pages:32)

Chapter 5

Machine Learning Models for Early Warning Systems in Natural Disaster Management

Dinesh Kumar Yadav, Atish Baburao Mane

(Pages:33)

Chapter 6

AI and IoT-Based Water Quality Monitoring and Pollution Control Systems

Nidhi Mishra, Chetana S. Kelkar

(Pages:39)

Chapter 7

Big Data Analytics for Climate Change and Environmental Impact Assessment

S. Kavitha, Shraddha Giradkar

(Pages:35)

Chapter 8

Deep Learning Techniques for Cyclone Prediction and Weather Forecasting

T. Kavitha, T. Thomas Leonid

(Pages:31)


Contributions


Dr. Vikram Madhukar Agone is a distinguished Geomorphologist & Geographer. He is founder & Chairman of VIKRAM GEOINFO TECH, an ISO 2009:2015 certified enterprise. Currently, he serves as an Assistant Professor in the PG & Research Department of Geography, Nanasaheb Y. N. Chavan Arts, Science and Commerce College, Chalisgaon, Maharashtra, India. With a Ph.D. in Geography and over 18 years of teaching experience, he has published more than 30 research papers in IEEE, Scopus & Web of Science-indexed and UGC-CARE journals, authored 9 academic books including an internationally published monograph, and holds 18 patents. He also serves as a Board of Studies (BoS) member at K.B.C. North Maharashtra University, Jalgaon, and other 8 universities & autonomous colleges in India.

Dr. S. Muthurajan is an Assistant Professor in the Department of Marine Engineering at the Academy of Maritime Education and Training (AMET) deemed to be University, Chennai. He teaches Electrical and Electronics Engineering subjects for marine engineering students, including power electronics, automation, and industrial electronics. He is actively engaged in teaching, curriculum development, and academic activities related to engineering education. His academic interests include artificial intelligence, automation technologies, intelligent systems, and the application of emerging digital technologies in engineering and maritime education. He is also involved in research, academic publications, and collaborative initiatives aimed at integrating modern technological advancements into engineering learning and practice.

Dr. G. Prabhakaran serves as a Professor of Civil Engineering and Dean of Student Welfare at Siddharth Institute of Engineering & Technology in Puttur, Tirupati District, Andhra Pradesh, has 27 years 8 Months of expertise in teaching and research. He possesses a Ph.D. from Anna University, Chennai, with a specialisation in Environmental Engineering. Dr. G. Prabhakaran, with a career focused on sustainable building, environmental impact assessment, and the incorporation of eco-friendly technologies, has supervised numerous undergraduate and postgraduate projects tackling real-world environmental issues. He is especially concentrated on implementing waste reduction strategies in engineering design and construction methodologies. Dr. G. Prabhakaran exemplifies his dedication to providing explicit, pragmatic guidance for students and professionals aiming to adopt sustainable solutions. He is committed to cultivating industry-ready engineers equipped to address the environmental challenges of contemporary society. He has authored three books and 53 articles in esteemed national and worldwide conferences and journals. His academic work reflects a sustained commitment to creating environmentally responsible engineering solutions and fostering innovation among emerging engineers.

Mr. Chetan S. Chavan is an Assistant Professor at PCET’s Pimpri Chinchwad College of Engineering & Research (PCCoER), Ravet, Pune, Maharashtra, India. With over 14 years of teaching experience, he specializes in Water Resources Engineering and Fluid Mechanics. He is currently pursuing a Ph.D. and has completed his Master’s in Water Resources Engineering from VNIT, Nagpur, India, and Bachelor’s in Civil Engineering from WIT, Solapur and Diploma in Civil Engineering from Govt. Polytechnic, Solapur. He has published around 15 national and international research papers in civil and water resources domains, along with 5 patents and 2 book chapters. Passionate about making technical concepts accessible, he focuses on transforming complex hydrological data into student-friendly resources. His long-term vision is to integrate AI/ML approaches into civil engineering education, fostering sustainable development and innovation.

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