Intelligent Edge-Centric Flood Risk Governance Framework

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.

Hersteller:	SIA OmniScriptum Publishing
Anschrift:	Brivibas gatve 197 LV-1039 Riga
Kontakt:	customerservice@vdm-vsg.de

Dr. Kirti Hemant Wanjale received her Ph.D degree from Faculty of Computer Engineering from SSSTUMS, Sehore MP. She is Currently Working as Professor, Department of Computer Engineering at Vishwakarma Institute of Technology Pune. She has 22 years of experience. Her main research interests are Wireless Sensor Networks, Internet of Things (IoT).