Use of Artificial Intelligence in Disaster Management
ECONOMY & POLICY

Use of Artificial Intelligence in Disaster Management

The Central Government has adopted a holistic approach to disaster risk reduction that addresses the entire disaster management cycle, including preparedness, response, capacity building, recovery and mitigation through innovative methods, technology and international cooperation. Over the last decade India has made significant progress in reducing disaster risk and institutional strengthening. The Disaster Management (Amendment) Act, 2025, mandates creation of a National Disaster Database that includes risk assessments, mitigation plans and real-time disaster data to support decision making. Agencies have been encouraged to integrate advanced analytics and modelling.

National Disaster Management Authority (NDMA) and the India Meteorological Department (IMD) have integrated artificial intelligence (AI) and machine learning (ML) models into forecasting systems to enable seven-day advance predictions, including simulations for flood forecasting and cyclone tracking under operational programmes. NDMA has developed a web-based Dynamic Composite Risk Atlas and Decision Support System for cyclone risk mitigation that has been used during recent cyclones such as Biparjoy and Michaung. National Remote Sensing Centre (NRSC) has produced flood hazard atlases for multiple states.

Central Water Commission (CWC) has piloted AI based short-range flood forecasting models for its Level Flood Forecasting Stations and now provides a seven-day advisory flood forecast for major river basins, including Himalayan states, using rainfall based mathematical modelling. Defence Research and Development Organisation (DRDO) is developing technologies for avalanche forecasting and geo-intelligence in the Indian Himalayan region and is piloting an autonomous avalanche forecasting system that uses remote sensing and machine learning techniques.

The Ministry does not maintain a central record of total funding allocated or utilised for AI in disaster management on a state-wise basis. Details of awareness and training programmes delivered to officers and volunteers have been compiled and include courses organised by the National Water Academy and the National Institute of Disaster Management, with participant numbers reported for specific programmes. The Minister of State in the Ministry of Home Affairs, Nityanand Rai, conveyed this information in a written reply to a question in the Lok Sabha.

The Central Government has adopted a holistic approach to disaster risk reduction that addresses the entire disaster management cycle, including preparedness, response, capacity building, recovery and mitigation through innovative methods, technology and international cooperation. Over the last decade India has made significant progress in reducing disaster risk and institutional strengthening. The Disaster Management (Amendment) Act, 2025, mandates creation of a National Disaster Database that includes risk assessments, mitigation plans and real-time disaster data to support decision making. Agencies have been encouraged to integrate advanced analytics and modelling. National Disaster Management Authority (NDMA) and the India Meteorological Department (IMD) have integrated artificial intelligence (AI) and machine learning (ML) models into forecasting systems to enable seven-day advance predictions, including simulations for flood forecasting and cyclone tracking under operational programmes. NDMA has developed a web-based Dynamic Composite Risk Atlas and Decision Support System for cyclone risk mitigation that has been used during recent cyclones such as Biparjoy and Michaung. National Remote Sensing Centre (NRSC) has produced flood hazard atlases for multiple states. Central Water Commission (CWC) has piloted AI based short-range flood forecasting models for its Level Flood Forecasting Stations and now provides a seven-day advisory flood forecast for major river basins, including Himalayan states, using rainfall based mathematical modelling. Defence Research and Development Organisation (DRDO) is developing technologies for avalanche forecasting and geo-intelligence in the Indian Himalayan region and is piloting an autonomous avalanche forecasting system that uses remote sensing and machine learning techniques. The Ministry does not maintain a central record of total funding allocated or utilised for AI in disaster management on a state-wise basis. Details of awareness and training programmes delivered to officers and volunteers have been compiled and include courses organised by the National Water Academy and the National Institute of Disaster Management, with participant numbers reported for specific programmes. The Minister of State in the Ministry of Home Affairs, Nityanand Rai, conveyed this information in a written reply to a question in the Lok Sabha.

Next Story
Infrastructure Urban

Panasonic Showcases Connected Display Solutions

Panasonic Life Solutions India showcased its integrated display, projection, broadcast and communication technologies at Panasonic Tech Summit 2026 in New Delhi. Hosted through its System Solutions Division, the two-day event highlighted connected technology solutions for education, healthcare, retail, transportation, corporate offices and entertainment.The summit, themed ‘Turning Technology into Value’, featured experience-led zones covering QSR, retail, transit, corporate offices, healthcare, education, security, projection, home theatre and professional displays. Panasonic also introduc..

Next Story
Infrastructure Transport

Kapsch to Deliver India’s First C-ITS Project

"Kapsch TrafficCom will deliver India’s first Cooperative Intelligent Transport Systems project on a key expressway near New Delhi. The project will be implemented with Superwave Communication And Infrasolution Limited to demonstrate how connected mobility can improve road safety and traffic efficiency.The pilot will use real-time connectivity and AI-enabled situational awareness to support road users, especially in high-risk areas such as temporary work zones. Drivers will receive alerts on roadworks, maintenance vehicles, hazardous locations, traffic queues and temporary virtual signage di..

Next Story
Infrastructure Urban

Eurobond Net Profit Rises 44 Per Cent

Euro Panel Products, the parent company of Eurobond, reported a 44.13 per cent year-on-year rise in net profit for FY25–26. The company’s revenue from operations grew 18.91 per cent to Rs 503.20 crore, compared to Rs 423.18 crore in the previous financial year.The company’s full-year EBITDA stood at Rs 56.67 crore, marking a 31.82 per cent increase. Profit after tax rose to Rs 26.56 crore, while net worth increased 20.15 per cent to Rs 160.07 crore. Earnings per share for the year stood at Rs 10.84.Divyam Rajesh Shah, Whole Time Director and CFO, Euro Panel Products, said the company’s..

Advertisement

Subscribe to Our Newsletter

Get daily newsletters around different themes from Construction world.

STAY CONNECTED

Advertisement

Advertisement

Advertisement

-->