AI and ML in Early Warning Systems for Natural Disasters

AI and ML in Early Warning Systems for Natural Disasters bridges the gap between advanced computational models and real-world disaster management practices by highlighting how data-driven intelligence can enhance resilience planning and reduce risks in the face of climate change and extreme environmental events.

Beginning with an overview of traditional early warning systems and the limitations they face in accuracy and timeliness The book sheds light on to AI- and ML-driven approaches, detailing predictive analytics, anomaly detection, sensor networks, geospatial data integration, and IoT-enabled monitoring systems. Case studies on earthquake prediction, flood forecasting, cyclone tracking, and wildfire detection illustrate the practical applicability of AI-powered models across diverse contexts. Later chapters examine legal frameworks, ethical considerations, and community-based strategies that ensure responsible, sustainable, and inclusive deployment of these technologies.

Key Features:

- Presents AI and ML techniques for predictive analytics, anomaly detection, and risk modeling in disaster scenarios.
- Demonstrates real-world applications through case studies on earthquakes, floods, cyclones, and wildfires.
- Explores integration of satellite imagery, remote sensing, and IoT-based sensor networks for real-time monitoring.
- Assesses legal, regulatory, and ethical frameworks shaping AI use in disaster preparedness.
- Provides multidisciplinary insights, blending computer science, engineering, and disaster management for resilient community planning.

Readership:

An indispensable resource for researchers, academicians, and graduate students in computer science, data science, environmental engineering, and disaster management seeking to use AI and ML innovations for building disaster-resilient societies.

Editor(s):

Jay Kumar Pandey
Department of Electrical and Electronics Engineering
Shri Ramswaroop Memorial University
Barabanki, Uttar Pradesh
India

Mritunjay Rai
Department of Electrical and Electronics Engineering
Shri Ramswaroop Memorial University
Barabanki, Uttar Pradesh
India

Edris Alam
Integrated Emergency Management
Rabdan Academy
Abu Dhabi
United Arab Emirates (UAE)

Contributor(s):

Arnab Basu
Department of Basic Science and Humanities
Institute of Engineering & Management, University of Engineering and Management
Kolkata, West Bengal
India

A. Firos
Department of Computer Science and Engineering
Rajiv Gandhi University
Rono Hills, Doimukh, Arunachal Pradesh
India

Anuska Dutta
Department of Computer Science & Engineering AI
Brainware University
Barasat, West Bengal
India

Balram Singh
Department of Teacher Education
Maharana Pratap Govt. P. G. College
Hardoi, Uttar Pradesh
India

Chandrashekhar Lall Chaudhury
Department of Computer Science and Engineering
Institute of Engineering & Management, University of Engineering and Management
Kolkata, West Bengal
India

Deepika Rani
Supreme Court of India
Tilak Marg, New Delhi
India

Diya Biswas
Department of Computer Science & Engineering AI
Brainware University
Barasat, West Bengal
India

Gurajala Laasya
Department of Computer Applications, School of Computing
Mohan Babu University
Tirupati, Andhra Pradesh
India

Himanshu Priyadarshi
School of Legal Studies
Babu Banarasi Das University
Lucknow, Uttar Pradesh
India

Jay Kumar Pandey
Department of Electrical and Electronics Engineering
Shri Ramswaroop Memorial University
Barabanki, Uttar Pradesh
India

K. Ramakrishna
Department of Computer Science and Engineering
Malla Reddy College of Engineering and Technology
Hyderabad, Telangana
India

Karri Manikanteswara Reddy
Department of Commerce and Management Studies
Adikavi Nannaya University
Rajahmundry, Andhra Pradesh
India

Mustapha Ismail Kwari
Department of Computer Science & Engineering
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
Chennai, Tamil Nadu
India

M. Sirish Kumar
School of Computing
Mohan Babu University
Tirupati, Andhra Pradesh
India

Mritunjay Rai
Department of Electrical and Electronics Engineering
Shri Ramswaroop Memorial University
Barabanki, Uttar Pradesh
India

N. Rajkumar
Department of Computer Science & Engineering
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
Chennai, Tamil Nadu
India

Neha Jain
School of Computer Science & Engineering
IILM University
Greater Noida, Uttar Pradesh
India

Padmesh Tripathi
Department of Artificial Intelligence and Data Science
Delhi Technical Campus
Greater Noida, Uttar Pradesh
India

Piyal Roy
Department of Computer Science & Engineering AI
Brainware University
Barasat, West Bengal
India

Ravindra Raman Cholla
Department of Computer Science and Engineering
JAIN University
Bangalore, Karnataka
India

Reeta Mishra
School of Computer Science & Engineering
IILM University
Greater Noida, Uttar Pradesh
India

Rajendra Kumar
School of Legal Studies
Babu Banarasi Das University
Lucknow, Uttar Pradesh
India

Sucheta S. Yambal
Department of Management Science
Dr. Babasaheb Ambedkar Marathwada University
Chhatrapati Sambhajinagar, Maharashtra
India

Srinivasulu Sirisala
Department of Computer Science and Engineering
CVR College of Engineering
Hyderabad, Telangana
India

Sumanta Bhattacharya
Department of Enviromental Science
Asian International University
Imphal, Manipur
India

Sudhir Kumar
School of Legal Studies
Babu Banarasi Das University
Lucknow, Uttar Pradesh
India

Seema Khanum
Indian Computer Emergency Response Team (ICERT), MeitY
Electronics Niketan
New Delhi
India

Vinoth Kumar
Department of Computer Science & Engineering
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
Chennai, Tamil Nadu
India

V. Sunitha
Department of Law
Damodaram Sanjivayya National Law University
Visakhapatnam, Andhra Pradesh
India

Vidya Singh
Department of Chemistry
Maharana Pratap Govt. P. G. College
Hardoi, Uttar Pradesh
India

Yashwant A. Waykar
Department of Management Science
Dr. Babasaheb Ambedkar Marathwada University
Chhatrapati Sambhajinagar, Maharashtra
India

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