AI-Powered 'Flood Lab' Setup Developed to Minimize Damage from Urban Flooding
Pandit Deendayal Energy University (PDEU) has established a dedicated ‘Flood Lab’ using Artificial Intelligence (AI) and Machine Learning (ML) to combat urban flooding. The lab focuses on early warning systems, flood simulations, risk mapping, emergency planning, and flood forecasting. The initiative is aimed at helping government bodies mitigate the growing risk of flood-related disasters.
Location: Pandit Deendayal Energy University, Gandhinagar, Gujarat
Project by:
Dr. S. I. Dhruva Patel and his expert research team at PDEUObjective of the Flood Lab:
To predict, manage, and minimize flood-related damages using AI/ML technologies and hydrological models. It serves as a resource hub for policy-makers, urban planners, and emergency managers.
🔧 Key Features & Functions of the Flood Lab:
Smart Warning System:
Provides real-time alerts for heavy rainfall and potential waterlogging.
Integrates with city management systems and public alert platforms.
Hydrodynamic Simulation Modeling:
Uses software like HEC-RAS for simulating flood behavior in both urban and riverine systems.
Enables scenario-based risk assessment.
Flood Risk Mapping & Monitoring:
Identifies high-risk flood zones using satellite and GIS data.
Helps prioritize vulnerable areas.
Data-Driven Decision Support:
Offers actionable insights to municipal and disaster management authorities.
Supports infrastructure and drainage planning.
Training & Capacity Building:
Hands-on training sessions for engineers, planners, and emergency response teams.
🧪 Key Tools & Projects:
Figure to Flood (F2F):
Converts satellite and rainfall data into actionable flood prediction visuals.Flood Dashboard:
A centralized digital dashboard for real-time data visualization of flood-prone zones.Emergency Action Plan (EAP):
Developed for at-risk dams and urban infrastructure, including flood contingency protocols and evacuation plans.
💡 Impact & Importance:
The 'Flood Lab' offers proactive solutions to reduce flood risks, particularly relevant for flood-prone regions like Gujarat. Its integration of technology with governance can serve as a national model for climate resilience and disaster preparedness.
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