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GOVERNMENT OF INDIA
MINISTRY OF HOME AFFAIRS
LOK SABHA
UNSTARRED QUESTION NO. 5100
TO BE ANSWERED ON THE 24TH MARCH, 2026/ CHAITRA 3, 1948 (SAKA)
USE OF AI IN DISASTER MANAGEMENT
5100. SHRI MAGUNTA SREENIVASULU REDDY:
Will the Minister of HOME AFFAIRS be pleased to state:
(a) whether the Government has undertaken any steps to incorporate
emerging technologies such as Artificial intelligence (AI) into disaster
mitigation and management in the country during the last five years;
(b) if so, the details regarding the list of schemes/initiatives for disaster
management/mitigation that use AI at present;
(c) the details regarding the total amount of funding allocated/released and
utilised for increasing the use of AI in disaster management/mitigation
practices across India, State-wise and to Andhra Pradesh during the last five
years; and
(d) whether the Government has undertaken any awareness/training
programs for officers and volunteers across India, especially in disaster prone
areas, to help them use AI for disaster mitigation, management and response,
if so, the details thereof and if not, the reasons therefor?
ANSWER
MINISTER OF STATE IN THE MINISTRY OF HOME AFFAIRS
(SHRI NITYANAND RAI)
(a) to (d): The Central Government has adopted a holistic approach to
disaster risk reduction to address whole range of issues in the entire disaster
management cycle, ranging from preparedness, response, capacity building,
recovery & reconstruction and mitigation by use of innovative methods,-2-
L.S.US.Q.NO. 5100 FOR 24.03.2026
technology and international cooperation. During the last decade, India has
made significant progress in disaster risk reduction.
The Disaster Management (Amendment) Act, 2025, mandates the
creation of a National Disaster Database, which includes risk assessments,
mitigation plans, and real-time data on disasters. Alert agencies such as India
Meteorological Department (IMD) have integrated Artificial Intelligence (Al)/
Machine Learning (ML) models into weather forecasting systems for seven-
day advance predictions. This includes Al driven simulations for flood
forecasting (up to seven days ahead) and cyclone tracking, as part of Mission
Mausam.
National Disaster Management Authority (NDMA) has developed a web-
based Dynamic Composite Risk Atlas and Decision Support System (Web-
DCRA & DSS tool) for cyclone risk mitigation and response planning. The tool
has been successfully used in recent cyclones, such as Biparjoy and
Michaung.
Flood Hazard Atlas have been developed by National Remote Sensing
Centre (NRSC) for flood prone states of West Bengal, Andhra Pradesh, Bihar,
Odisha, Assam and Uttar Pradesh and for comparatively less flood affected
states such as Jammu & Kashmir, Tamil Nadu, Kerala, Gujarat, Arunachal
Pradesh, Karnataka and Maharashtra.-3-
L.S.US.Q.NO. 5100 FOR 24.03.2026
Central Water Commission (CWC) has taken initiatives on Al based flood
forecasting in the year 2025 on pilot basis, as an in-house endeavour towards
development of Al/ML based Short-Range level flood forecasting models for
Level Flood Forecasting Stations of CWC, on rivers across the country. CWC
has delved into usage of Al/ML techniques in flood forecasting as a
replacement for existing conventional techniques used by CWC for short
range forecasting. Further CWC is currently providing seven-day advisory
flood forecast on its web portal https://aff.india-water.gov.in/ through pan
India rainfall-based mathematical modelling for major river basins of the
country, including Himalayan States.
Defence Research and Development Organisation (DRDO) is working in
the development of technologies for avalanche hazard forecasting, control
structures and geo-intelligence to provide safe mobility to armed forces in
Indian Himalayan region. DRDO is using Al/ML techniques in the field of
Avalanche Forecasting and Monitoring & detection of avalanches using
Remote Sensing data.
Further, DRDO is also conducting a pilot study under DRDO project for
development of Al based Autonomous Avalanche Forecasting System.-4-
L.S.US.Q.NO. 5100 FOR 24.03.2026
The information regarding the total amount of funding
allocated/released and utilized for increasing the use of AI in disaster
management/mitigation practices across India, state-wise, is not maintained
centrally by this Ministry.
The details of awareness/training programs for officers and volunteers
across India, especially in disaster prone areas, to help them use AI for
disaster mitigation, management and response is at Annexure.
******ANNEXURE
L.S.US.Q.NO. 5100 FOR 24.03.2026
Details of Awareness/Training programs
S. No. Name of program Organizer Duration No. of
Participants
1. Program on "Artificial National Water 11.06.2024 to 21
Intelligence, Machine Academy 13.06.2024
Learning, Deep (NWA) Pune
Learning and Data
Driven Decision
Making"
2. Program on "Artificial National Water 30.06.2025 to 28
Intelligence and Academy 04.07.2025
Machine Learning" (NWA) Pune
3. Webinar on “Roll of National 05.08.2021 to 211
artificial Intelligence Institute of 05.08.2021
for Disaster Risk Disaster
Reduction” Management
(NIDM)
4. Program on NIDM in 28.03.2022 to 413
“Technologies in collaboration 30.03.2022
Disaster Risk with SRM
Reduction” University,
Chennai
5. Program on ”Advanced NIDM 19.05.2023 to 197
Technologies for 19.05.2023
Effective Emergency
Management”
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