Intelligent Edge-Centric Flood Risk Governance Framework: A Multi-Tier Resilient Communication and Predictive Analytics Framework for Climate-Adaptive Rural Flood Management - Softcover

Inhaltsangabe

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.

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