Intelligent Edge-Centric Flood Risk Governance Framework

Bys: Wanjale, Kirti and Kodgirwar, Krushna

Flood disasters increasingly threaten rural and semi-urban communities due to climate variability and inadequate early warning systems. This book presents a distributed Edge-AI and IoT-driven cyber-physical architecture for predictive flood risk modeling and resilience governance. The framework integrates multi-parameter environmental sensing, hybrid AI forecasting using ARIMA and LSTM models, and resilient LoRa-GSM communication networks to enable short-term flood probability estimation. Unlike conventional threshold-based systems, it supports proactive risk classification, multi-channel alert dissemination, vulnerability-aware evacuation prioritization, and two-way SOS communication. Solar-powered sensing nodes ensure energy autonomy, while redundancy enhances reliability during extreme conditions. By combining predictive intelligence with community-centric coordination, the system advances scalable climate resilience for resource-constrained regions.

• Format: Paperback
• Language: English
• ISBN: 620969974X
• ISBN13: 9786209699740
• Release Date: February 2026
• Publisher: LAP Lambert Academic Publishing
• Length: 80 Pages
• Weight: 0.26 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"