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Subject: Disaster Preparedness and Resilience

  • Cloudbursts in India

    Why in News?

    Recent flash floods in Himalayan States have brought cloudbursts into focus. The IMD has clarified that many reported “cloudbursts” do not meet its scientific definition, highlighting the need for accurate terminology and better disaster planning.

    What is a Cloudburst?

    • According to the India Meteorological Department (IMD), a cloudburst is 100 mm (10 cm) or more rainfall in one hour over a 20 to 30 sq. km area.
    • Key Features
      • Highly localized and short-duration event.
      • Causes sudden flash floods and landslides due to rapid runoff.
      • Much rarer than normal heavy monsoon rainfall.
      • Mini-cloudburst (proposed): Some scientists suggest a category of 50 mm rainfall in one hour over the same area, as it can also cause severe damage.

    How Common are Cloudbursts in India?

    • Cloudbursts are rare, but their frequency is increasing due to global warming, as warmer air can hold more moisture.
    • IMD recorded around 30 cloudbursts between 1970 and 2016, though experts believe many events went unrecorded.
    • Most occur in remote Himalayan regions, where monitoring stations are sparse.
    • Frequently reported in Uttarakhand, Himachal Pradesh, Jammu & Kashmir, Assam, and the Northeast, especially during July-August.

    How Do Cloudbursts Form?

    Why are Cloudbursts Difficult to Forecast?

    • Highly localized, smaller than weather model grid sizes.
    • Develop rapidly, leaving very little lead time.
    • Mountains block Doppler Weather Radar signals, creating blind spots.
    • Limited Automatic Weather Stations (AWS) in high-altitude areas reduce real-time observations.
    • Hyperlocal prediction requires high-resolution models and massive computing power.

    What is India Doing?

    • IMD Nowcasting for short-term weather alerts.
    • Mission Mausam to strengthen hyperlocal forecasting.
    • Expansion of the Doppler Weather Radar (DWR) network.
    • Installation of more Automatic Weather Stations (AWS).
    • Use of Artificial Intelligence (AI) for improved weather prediction and early warnings.

    Challenges

    • Sparse observation network in mountainous terrain.
    • Radar blind spots due to topography.
    • Limited computing capacity for hyperlocal models.
    • Growing climate change-induced extreme rainfall.
    • Weak enforcement of land-use regulations.

    [2026] Which of the following statements with regard to India’s indigenous new high resolution weather model, the ‘Bharat Forecast System,’ is/are correct?
    1. Its objective is to generate forecasts at the Panchayats cluster level.
    2. It was developed by IIT Delhi.
    Select the answer using the code given below:

    [A] 1 only

    [B] 2 only

    [C] Both 1 and 2

    [D] Neither 1 nor 2

  • In Assam, floods shift course. State response is static.

    Why in the News

    Flooding is a chronic feature of Assam’s monsoon, but this year, Upper Assam districts far from the Brahmaputra’s main channel and without a history of severe floods, Sivasagar, Charaideo, Jorhat and Golaghat, have borne the brunt. More than 20 people died within 24 hours on Monday after a wall of water from Nagaland’s Mon district spilled into Assam over open terrain, and the State Government called the devastation unforeseeable.

    What made this year’s floods different from Assam’s usual monsoon pattern?

    1. Districts without flood history hit hardest: The state government has called the scale of devastation in Sivasagar, Charaideo, Jorhat and Golaghat “unprecedented.“
    2. Casualty toll: More than 20 people died within 24 hours on Monday after a wall of water from Nagaland’s Mon district spilled into Assam and surged over embankments.
    3. An unusual drainage path: The floodwater is draining into the Brahmaputra over open terrain rather than through the tributaries as usual.
    4. The government’s stated position: The Assam government told the state assembly that “no one could have been prepared” for the calamity.

    Why is the “unforeseeable calamity” explanation unconvincing?

    1. A known river behaviour: The floods’ trajectory is a fallout of Assam’s topography and the Brahmaputra’s well-documented tendency to shift course.
    2. Sediment deposition raises the riverbed: After entering the Assam valley near Pasighat in Arunachal Pradesh’s East Siang district, the sharp reduction in gradient slows the river and causes it to deposit sediment, raising the riverbed and reducing the channel’s flood capacity.
    3. Channel abandonment: The Brahmaputra periodically abandons old channels and carves new ones, making it impossible to confine the river within embankments permanently.
    4. A static strategy for a shifting river: Assam’s flood management strategy continues to rely primarily on embankments despite this known channel-shifting behaviour.

    What triggered the immediate disaster in Nagaland and Assam?

    1. Extreme localised rainfall: Mon district received more than one-third of its average July rainfall in about eight hours on Sunday.
    2. Saturated slopes: Hills in the region were already saturated from heavy rain earlier in the month.
    3. Landslides in Nagaland: The saturated slopes collapsed, triggering landslides that killed nine people in Nagaland.
    4. Resulting surge into Assam: The destruction that followed in Assam was a direct consequence of this upstream rainfall and landslide event.

    What institutional response does this demand?

    1. A shared-system approach needed: The situation underscores the need for an institutional mechanism that treats rivers as shared ecological systems across states, with timely warning and coordinated action.
    2. The Brahmaputra Board’s capacity gap: The Brahmaputra Board has long been hampered by staff shortages and inadequate technical capacity. (Brahmaputra Board is a statutory body set up under the Brahmaputra Board Act, 1980 under the Ministry of Jal Shakti, Department of Water Resources, River Development & Ganga Rejuvenation. The jurisdiction of the Brahmaputra Board includes both the Brahmaputra and Barak Valley and covers all the States of the North Eastern Region, including Sikkim and part of West Bengal, which fall under the Brahmaputra basin.)
    3. A call to reinvigorate the agency: With extreme weather becoming more frequent, the Centre and State Governments need to reinvigorate the Brahmaputra Board.

    Conclusion

    The Brahmaputra’s documented tendency to deposit sediment, raise its bed and shift channels, not an unforeseeable event, pushed this year’s floods into Upper Assam districts with no history of severe flooding. Assam’s embankment-only strategy cannot contain a river that periodically abandons its channels, and the underlying institutional gap, an understaffed, under-resourced Brahmaputra Board, must be addressed before climate change intensifies these ruptures further.

    PYQ Relevance

    [UPSC 2020] Account for the huge flooding of million cities in India including the smart ones like Hyderabad and Pune. Suggest lasting remedial measures.

    Linkage: The PYQ tests the geographical and anthropogenic causes of floods and the need for long-term flood management strategies. The Brahmaputra floods article extends this theme to riverine flooding. It shows that how geomorphological processes such as sediment deposition and channel migration, combined with extreme rainfall, demand basin-wide management rather than an embankment-centric approach.

  • [23rd July 2026] The Hindu OpED: Buried questions: On the Sikkim tunnel accident

    PYQ Relevance[UPSC 2016] The Himalayas are highly prone to landslides. Discuss the causes and suggest suitable measures of mitigation.
    Linkage: The PYQ examines the geological fragility of the Himalayas and the need for mitigation measures while undertaking developmental activities. The Teesta-VI blast highlights that infrastructure projects in the young and unstable Himalayan geology require rigorous geological investigations, continuous hazard monitoring, and strict compliance with environmental clearance conditions.

    Mentor’s Comment

    An explosion triggered by trapped methane in an NHPC (formerly National Hydroelectric Power Corporation) Limited tunnel at the Teesta Stage-VI hydroelectric project in Sikkim has killed at least 15 workers. What remains unresolved is not whether the hazard existed, but whether the environmental clearance conditions meant to guard against it were ever verified in practice.

    Why was gas in the Teesta-VI tunnel foreseeable rather than a surprise?

    1. Geological setting: The Teesta basin sits in a seismically active zone with young, heavily fractured rock capable of trapping compressed gas pockets laid down long ago.
    2. Known hazard type: Methane is a well-recognised hazard in underground excavation generally, not specific to this project.
    3. The real open question: What is unresolved is not whether gas could exist, but whether its risk was assessed and modelled during project planning, and whether detection and ventilation safeguards were functioning.

    What does the region’s recent history of underground disasters show?

    1. Meghalaya, February 2026: An explosion at an illegal coal mine killed about 30 workers.
    2. Uttarakhand, 2023: A road tunnel under construction collapsed, trapping 41 workers for 17 days before rescue.
    3. South Lhonak lake, October 2023: A glacial lake outburst flood destroyed the Teesta-III dam and killed more than 100 people downstream.
    4. Pattern, not exception: Together, these episodes show underground and Himalayan infrastructure work carries recurring risk, not isolated misfortune.

    What complicates accountability for Teesta-VI specifically?

    1. Change of developer: Teesta-VI was absorbed by the public-sector NHPC Limited after its original private developer, unable to afford escalating costs, went into insolvency.
    2. Carried-over clearance conditions: A change in developer partway through a project raises the question of whether environmental-clearance conditions were re-verified under the new operator.
    3. Internal inquiry is not an oversight: NHPC has announced its own investigation, but an internal inquiry by the project operator is not a substitute for independent verification of clearance compliance.

    What must happen once the emergency response ends?

    1. Immediate priority: Relief and rescue for workers still trapped must remain the first priority.
    2. No isolated-incident framing: The government must not treat the disaster as an isolated misfortune once the emergency passes.
    3. Independent review required: An independent review is needed to verify whether the environmental clearance conditions attached to Teesta-VI were strictly met in practice, not merely granted on paper.

    Conclusion

    The Teesta-VI blast is the latest in a pattern of underground and Himalayan project disasters recurring because environmental clearance compliance is not independently verified after approval. Once relief operations conclude, the government must order an independent review of whether the clearance conditions attached to Teesta-VI, and comparable Himalayan hydropower projects, were actually met in practice.

  • Describe various measures taken in India for Disaster Risk Reduction (DRR) before and after signing ‘Sendai Framework for DRR (2015-2030)’. How is this framework different from ‘Hyogo Framework for Action, 2005?

    As per UNDRR, Disaster risk reduction is aimed at preventing new and reducing existing disaster risk and managing residual risk, all of which contribute to strengthening resilience and therefore to the achievement of sustainable development.

    Measures Taken in India Before Sendai Framework (Pre-2015)

    Disaster Management Act, 2005 established NDMA, SDMA, DDMAs – India’s first legal-institutional framework for DRR.

    Formation of NDRF (2006) – a specialised, trained, and equipped response force for multi-hazard operations. Played a major role in Uttarakhand floods (2013).

    National Policy on Disaster Management (2009) – Shifted policy from relief to prevention, preparedness, and mitigation.

    National Cyclone Risk Mitigation Project (2011) – World Bank assisted programme for mitigating risks of cyclones in 8 cyclone prone coastal States

    Early Warning Dissemination System (EWDS)

    Cyclone Risk Mitigation Infrastructure (CRMI)

    Technical Assistance for Capacity Building on Disaster Risk Management

    Project Management and Monitoring

    Measures Taken After Adoption of Sendai Framework (Post-2015)

    (Aligned with Sendai’s four priorities: risk knowledge, governance, investment, preparedness & BBB.)

    National Disaster Management Plan (NDMP), 2016 – India’s first national plan fully aligned with Sendai Framework, covering:

    Multi-hazard risk assessment,

    Prevention-mitigation strategies,

    Sector-wise responsibilities (health, housing, power, transport, education),

    Monitoring indicators aligned with Sendai’s seven global targets.

    Multi-Hazard Early Warning System (MHEWS) – integrates satellite, radar, and IoT data via the IMD’s Decision Support System (DSS). Improves accuracy by 20-40%. Apps used are

    MAUSAM: General weather forecasts.

    DAMINI: Lightning alerts.

    MEGHDOOT: Agromet advisories for farmers.

    Nature-Based Solutions – Mangrove restoration (MISHTI), wetland protection (Amrit Dharohar) to reduce cyclone/flood vulnerability.

    Shift in disaster-financing architecture – from earlier response-only funds to separate mitigation funds at national and state level as per recommendations of 15th FC

    Community-Based Disaster Management under Aapda Mitra/Aapda Sakhi.

    GIS-Based Hazard Mapping– Eg- National Landslide Susceptibility Mapping (NLSM 2023) covers all Himalayan states.

    Global Efforts – Launched coalition of disaster disaster resilient infrastructure

    National Landslide Risk Mitigation Programme (NLRMP) –

    Cyclone Preparedness (Odisha Model) – Mass evacuations, cyclone shelters, and resilient infrastructure. Eg- Only 64 deaths in Cyclone Fani (2019).

    City/state-specific Heat Action Plans (HAPs) for heatwave prediction + response + healthcare preparedness. Eg- Ahmedabad HAP cut mortality by 30-40% since 2013.

    Difference between Hyogo and Sendai Frameworks

    The Sendai Framework’s proactive approach is essential for making Bharat a ‘weather-ready and climate-smart’ nation.

    Disaster Specific

  • Disaster preparedness is the first step in any disaster management process. Explain how hazard zonation mapping will help in disaster mitigation in the case of landslides.

    As per UNDRR, disaster preparedness refers to the knowledge and capacities developed by governments, institutions, communities and individuals to effectively anticipate, respond to and recover from disasters.

    Importance of Disaster preparedness

    Reduces Loss of Life and Property – Eg-Zero casualties during Cyclone Biparjoy (2023) due to preparedness.

    Strengthens Community Capacity – Training local communities in early response, evacuation routes, and safe zones, reduces panic and damage. Eg-Aapda Mitra volunteers.

    Enables Early Warning and Timely Decision-Making

    Minimises Economic Disruptions – Preparedness plans protect critical infrastructure like roads, power lines and bridges. (Türkiye earthquake (2021) resulted in a loss of 4% of GDP.)

    Ensures continuity of critical services such as healthcare, transportation, and communication during disasters

    Role of hazard zonation mapping in landslide risk mitigation

    Identifies Risk areas based on geology, slope angle, rainfall, land use and soil type.

    Guides Land-Use Planning and Regulation- Eg-Building restrictions in Munnar and Wayanad based on hazard maps.

    Helps Design Safer Infrastructure – Eg-Stabilisation measures on NH-44 (Uttarakhand-Himachal) based on zonation inputs.

    Mitigation Measures – Eg- slope strengthening, terracing, afforestation, and drainage correction.

    Integrates with Early Warning Systems (EWS) – Hazard zones combined with rainfall thresholds enable real-time warnings.

    Build community resilience – Locals identify unsafe slopes, evacuation routes and shelter locations using simplified maps.

    Resource allocationNational Landslide Risk Mitigation Programme targets mapped hotspots first.

    Assists in Environmental Regulation – Eg- Quarrying, mining, ban in Western Ghats (Madhav gadgil committee recommendation)

    Hazard zonation mapping in India

    National Landslide Susceptibility Mapping (NLSM) by GSI

    National Landslide Inventory created with 80,000+ mapped landslides.

    ISRO “Landslide Atlas of India” (2023).

    State-level LHZ mapping by SDMAs (Kerala, Uttarakhand, Himachal, Sikkim, Meghalaya).

    LiDAR, UAV & DEM-based mapping in critical areas (Joshimath, Munnar, Gangtok, Nilgiris).

    Rainfall threshold modelling (IMD + IITs) integrated with zonation maps for landslide triggers.

    Earthquake Zonation Map of India (Zone II to Zone V) by BIS/IMD.

    Flood Hazard Atlas for 15+ states by CWC-NRSC (ISRO)

    Drought Vulnerability Atlas of India (IMD + NRSC).

    To prevent a catastrophe like the Wayanad Landslide of 2024, engineering as well as nature-based solutions along with early warning systems, and effective land use practices are essential.

  • Discuss the recent measures initiated in disaster management by the Government of India departing from the earlier reactive approach.

    Earlier Approach (Reactive Model)

    Relief and Response-Focused – limited emphasis on preparedness or mitigation.

    Fragmented Institutional Setup – No single coordinating agency.

    Weak Early Warning Systems – limited forecasting for cyclones, floods, and lightning. Eg – 1999 Odisha Super Cyclone caused 10000 deaths

    Delayed Emergency Response Mechanisms before NDRF creation (2006). Eg- delay in 2001 Bhuj Earthquake response

    Ad hoc Funding – minimal pre-disaster investment.

    Poor Infrastructure Resilience – Buildings, dams, roads lacked disaster-resilient design.

    Low Use of Technology – Eg- lack of glacial lake monitoring, real-time rainfall data, or landslide susceptibility mapping in Himalayas

    Limited Community Preparedness – Citizens were passive recipients of relief; evacuation plans rudimentary. Eg- high fatalities after Uttarakhand Floods

    Recent Measures Highlighting the Shift from Reactive to Proactive Approach

    Legal & Institutional Strengthening – DM Act 2005, NDMA, NDRF, SDMAs, and DDMAs ensure permanent, structured disaster governance.

    Strengthened Early Warning through IMD + ISRO + IITs. Eg- Zero human casualties during Cyclone Biparjoy (2023)

    Integrated Alert System (SACHET) is operationalised in all 36 States and UTs to send disaster alerts through SMS. Over 6,899 crore SMS alerts in more than 19 Indian languages were sent.

    Multi-Hazard Early Warning System (MHEWS) – integrates satellite, radar, and IoT data via the IMD’s Decision Support System (DSS). Improves accuracy by 20-40%. Apps used are

    MAUSAM: General weather forecasts.

    DAMINI: Lightning alerts.

    MEGHDOOT: Agromet advisories for farmers.

    Nature-Based Solutions – Mangrove restoration (MISHTI), wetland protection (Amrit Dharohar) to reduce cyclone/flood vulnerability.

    Shift in disaster-financing architecture – from earlier response-only funds to separate mitigation funds at national and state level as per recommendations of 15th FC

    Community-Based Disaster Management under Aapda Mitra/Aapda Sakhi.

    City/state-specific Heat Action Plans (HAPs) for heatwave prediction + response + healthcare preparedness. Eg- Ahmedabad HAP cut mortality by 30-40% since 2013.

    Cyclone Preparedness (Odisha Model) – Mass evacuations, cyclone shelters, and resilient infrastructure. Eg- Only 64 deaths in Cyclone Fani (2019).

    GIS-Based Hazard Mapping– Eg- National Landslide Susceptibility Mapping (NLSM 2023) covers all Himalayan states.

    Global Efforts

    Signatory to Sendai Framework for disaster risk reduction

    Launched coalition of disaster disaster resilient infrastructure

    Way Forward

    Strengthening disaster health management through coordination between NDMA and the Health Ministry

    Transparency in Fund Allocation – formula-based, impact-driven NDRF allocation

    Decentralized Disaster Governance

    Autonomy in fund utilization for SDMA and DDMA.

    Integrating disaster risk reduction (DRR) into development plans

    Climate-Resilient Infrastructure –

    strict enforcement of the National Building Code (NBC), 2016

    disaster-resilient retrofitting of old buildings, bridges, and dams in seismic zones.

    Enhance coordination between IMD, ISRO, NDMA, and NDRF through a unified National Emergency Coordination Hub (NECH).

    Strengthening Financial Resilience via parametric insurance models

    Adopting global best practices

    Singapore -Whole-of-Government (WOG) Approach

    Netherlands -“Room for the River” Programme

    United States -FEMA’s Incident Command System (ICS)

    The Sendai Framework’s proactive approach, focused on risk mitigation, resilient recovery, and inclusive governance, is essential for making Bharat a ‘weather-ready and climate-smart’ nation.

  • What is disaster resilience? How is it determined? Describe various elements of a resilience framework. Also mention the global targets of the Sendai Framework for Disaster Risk Reduction (2015-2030).

    As per Hyogo Framework of Action, Disaster resilience refers to the ability of individuals, communities, systems, and nations to anticipate, absorb, adapt to, and recover from the impacts of hazards while retaining essential functions.

    Determination of disaster resilience

    Exposure to Hazard – Settlements on riverbanks or seismic zones are more vulnerable. Eg- Joshimath (Uttarakhand)

    Adaptive or Coping Capacity – Ability to anticipate, respond, absorb and recover from a disaster. Eg- Japan’s high adaptive capacity to earthquakes

    Socio-economic Conditions – Poverty, marginalisation and inequity increase susceptibility to harm. Eg- Disaster induced migration

    Governance and Institutional Readiness– Eg- Singapore’s Integrated crisis management agency (SCDF)

    Environmental resilience increases or reduces hazard impact. Eg- ‘Day Zero’ in Chennai due to wetland encroachment.

    Social Networks and Support Systems: – Communities with strong social cohesion, community organizations, and support networks are more resilient to respond to and recover from disasters.

    Health status and access to healthcare services – Eg- Elderly and Children are less resilient to post disaster illness

    Elements of a Disaster Resilience Framework

    Risk Knowledge – Hazard mapping, vulnerability analysis, and risk assessments to understand who is at risk and why. Eg-GIS-based flood and landslide susceptibility maps.

    Early Warning Systems– Eg-IMD’s cyclone early-warning system reduces mortality drastically.

    Preventive Measures – Nature-based solutions, resilient infrastructure, land-use planning, seismic codes, floodplain zoning. Eg-Mangrove restoration under MISHTI.

    Preparedness & Response Capacity – Training volunteers, conducting mock drills, strengthening NDRF/SDRF capacities. Eg-Aapda Mitra programme in 350+ districts.

    Institutional ‘capacity building’ – Strong governance, coordination between NDMA, SDMA, district authorities, and urban bodies.

    Recovery, Rehabilitation & “Build Back Better” – stronger housing, better planning, safer infrastructure. Eg- Japan’s Post-2011 Tōhoku Earthquake & Tsunami Reconstruction

    Social & Community Resilience – Inclusive decision-making, empowering women, local groups, and indigenous knowledge systems.

    Financial Resilience – Insurance, disaster funds (NDRF/SDRF), parametric insurance, contingency financing.

    Global Targets of the Sendai Framework (2015-2030)

    Reduce Global Disaster Mortality – Substantial reduction by 2030 compared to 2005-2015 baseline.

    Reduce Number of Affected People – Significant decrease in people injured, displaced, or needing basic services during disasters.

    Reduce Economic Losses – Lower global disaster-related economic losses relative to global GDP.

    Reduce Damage to Critical Infrastructure – Protect health facilities, water systems, schools, and public infrastructure.

    Increase Number of Countries with DRR Strategies – All nations to develop national and local disaster risk reduction strategies.

    Enhance International Cooperation – Increase support from developed to developing countries for capacity-building, technology, and finance.

    Ensure multi-hazard early warning systems and accessible risk information for everyone.

    Priorities for Action

    Understanding disaster risk in all its dimensions

    Strengthening disaster risk governance

    Investing in disaster risk reduction for resilience

    Enhancing disaster preparedness for effective response, and to Build Back Better

    The Sendai Framework’s proactive approach is essential for making Bharat a ‘weather-ready and climate-smart’ nation.