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.

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