Overview

India is among the world's most disaster-prone countries — approximately 59% of its landmass is vulnerable to earthquakes, 40 million hectares are flood-prone, 68% of net sown area is drought-vulnerable, and ~12.6% of land area is landslide-prone. Understanding the spatial distribution of natural hazards, the agencies responsible for mapping them, and the vulnerability assessment frameworks is essential for both GS1 (Physical Geography) and GS3 (Disaster Management).


Global Seismic Belts

Major Earthquake Zones of the World

BeltExtentShare of Global Earthquakes
Circum-Pacific Belt (Ring of Fire)~40,000 km encircling the Pacific Ocean — from New Zealand through Indonesia, Japan, Kamchatka, Alaska, and down the western Americas to Chile~90% of the world's earthquakes; ~80% of the world's largest earthquakes
Alpide (Mediterranean-Himalayan) Belt~15,000 km from Indonesia through the Himalayas, Iran, Turkey, Mediterranean, and into the Atlantic~17% of the world's largest earthquakes; second most seismically active belt
Mid-Atlantic RidgeRunning through the centre of the Atlantic OceanDivergent plate boundary; mostly submarine earthquakes; less destructive
East African RiftFrom Afar Triangle through Ethiopia, Kenya, Tanzania to MozambiqueDivergent plate boundary; moderate seismicity

For Prelims: Ring of Fire = ~90% of world's earthquakes; Alpide Belt = ~17% of world's largest earthquakes. India lies in the Alpide Belt — the Himalayan zone is one of the most seismically active continental collision zones on Earth.


Seismic Zones of India

BIS Seismic Zonation

The Bureau of Indian Standards (BIS) divides India into seismic zones based on the Modified Mercalli Intensity (MMI) scale and historical earthquake data. The zonation is used for earthquake-resistant building design codes.

Traditional Classification (IS 1893)

ZoneIntensity (MMI)Risk LevelRegions
Zone IIVI (Low)Low damage riskMost of peninsular India — parts of Rajasthan, Madhya Pradesh, Maharashtra, Karnataka, Tamil Nadu, Odisha
Zone IIIVII (Moderate)Moderate damage riskParts of Kerala, Goa, Lakshadweep, remaining Rajasthan, parts of Punjab, UP, Bihar, West Bengal, Jharkhand
Zone IVVIII (Severe)High damage riskJammu (parts), Delhi, parts of Haryana, Punjab, Bihar (northern), parts of UP, Sikkim, parts of Maharashtra
Zone VIX and above (Very Severe)Very high damage riskKashmir Valley, Western Himachal Pradesh, Eastern Uttarakhand, Kutch (Gujarat), Northern Bihar, entire Northeast India, Andaman and Nicobar Islands

Area Distribution

ZonePercentage of India's Area
Zone V~11%
Zone IV~18%
Zone III~30%
Zone II~41%

For Prelims: ~59% of India's landmass is in Zone III or above (moderate to very high risk). Zone V covers the entire Northeast, Kashmir Valley, Kutch, and Andaman and Nicobar Islands. Delhi is in Zone IV.

Proposed Revisions to Seismic Zonation (Post-2024 Discussion)

Following the M7.8 Nepal-Bihar earthquake (2015), the M7.8 Türkiye-Syria earthquake (February 2023), the M7.7 Myanmar earthquake (March 2025), and ongoing Probabilistic Seismic Hazard Analysis (PSHA) studies, expert committees of NDMA and the National Centre for Seismology have recommended a comprehensive review of the IS 1893 (Part 1) seismic zonation map. Proposals under discussion include differentiating the Himalayan frontal arc as a higher-risk sub-zone and incorporating microzonation results for major cities (Delhi, Guwahati, Kolkata, Mumbai). The current operational map (IS 1893 Part 1: 2016) retains four zones — II, III, IV, and V — and any official upgrade to a new "Zone VI" would require formal BIS notification, which has not occurred as of mid-2026.

Major Earthquakes in India

EarthquakeYearMagnitudeZoneImpact
Assam (Shillong Plateau)1897Ms 8.7 (Richter) / Mw 8.1–8.4 (modern geodetic estimates per Bilham & England 2001)VOne of the largest recorded; devastated Shillong Plateau
Kangra19057.8V~20,000 deaths; Himachal Pradesh
Assam-Tibet19508.6VCaused massive landslides and flooding; altered river courses
Latur (Killari)19936.2III (previously Zone I)~10,000 deaths; revealed vulnerability of "stable" peninsular India; led to reclassification
Bhuj20017.7V~20,000 deaths; most destructive in recent Indian history; Kutch, Gujarat
Kashmir20057.6V~86,000 deaths (mostly in Pakistan-administered Kashmir); severe damage in Indian Kashmir
Nepal-Bihar20157.8V~9,000 deaths in Nepal; tremors felt across Bihar, UP, Delhi

For Mains: The Latur earthquake (1993) is a landmark event — it occurred in what was then Zone I (lowest risk), demonstrating that peninsular India is NOT immune to earthquakes. This led to the abolition of Zone I and the reclassification of the entire country into Zones II–V. It also catalysed the creation of the National Disaster Management Authority (NDMA) framework.


Flood-Prone Areas of India

Scale of the Problem

MetricFigureSource
Total flood-prone area40 million hectares (~12% of total geographical area)National Flood Commission
Average annual damageVaries — Rs 10,000–50,000 crore depending on the monsoon yearCWC
Most affected river basinsBrahmaputra, Ganga, Mahanadi, Godavari, Krishna, NarmadaNDMA / CWC

Major Flood-Prone Basins

River BasinFlood-Prone StatesKey Characteristics
Brahmaputra-BarakAssam, Arunachal Pradesh, Meghalaya, ManipurMost flood-prone basin in India; Brahmaputra carries enormous sediment; Assam floods are annual; Majuli (world's largest river island) shrinks every year
GangaUttarakhand, UP, Bihar, West Bengal, JharkhandBihar is the worst-affected state — the Kosi (India's "Sorrow of Bihar") and Gandak cause devastating floods; 23.29 million people affected in the basin
MahanadiChhattisgarh, OdishaOdisha faces both floods (Mahanadi basin) and cyclones (Bay of Bengal coast) — double vulnerability
Godavari-KrishnaAndhra Pradesh, Telangana, MaharashtraFlash floods in upper catchments; deltaic flooding in coastal AP
Narmada-TapiMadhya Pradesh, Gujarat, MaharashtraFlash floods in narrow valleys; Tapi flooding affects Surat

Causes of Flooding in India

CauseExplanation
Heavy monsoon rainfallIndia receives 80% of annual rainfall in 4 months (June–September); concentrated rainfall overwhelms river capacities
DeforestationLoss of forest cover in catchment areas reduces water absorption, increases runoff and soil erosion
Encroachment on floodplainsUrbanisation and agriculture in natural flood basins eliminate the river's natural overflow space
SiltationRivers like the Brahmaputra and Kosi carry massive sediment loads; riverbed rising reduces carrying capacity
Glacier melt / GLOFClimate change increases glacial lake outburst floods (GLOFs) in the Himalayas — the South Lhonak Lake GLOF in Sikkim (October 2023) killed 40+ people
Dam mismanagementSudden release of dam water during heavy rainfall (e.g., Idukki dam releases during Kerala floods, 2018)

Cyclone Tracks in India

Bay of Bengal vs Arabian Sea

FeatureBay of BengalArabian Sea
Cyclone frequency~4–5 times more frequent than Arabian SeaLess frequent but increasing with warming seas
Peak seasonOctober–December (post-monsoon); also May–June (pre-monsoon)May–June (pre-monsoon); October–November
Typical trackNorth-westerly initially; then curves towards Odisha–West Bengal (October), Andhra Pradesh (November), Tamil Nadu (December)North-westerly towards Arabian Peninsula; some curve north-eastward and strike Gujarat coast
Vulnerable coastsOdisha, West Bengal, Andhra Pradesh, Tamil Nadu, PuducherryGujarat, Maharashtra, Kerala (rare), Lakshadweep
Why more in Bay of Bengal?Higher sea surface temperature; convergence of moisture; absence of strong wind shear; geographical funnel shape of the bayStronger wind shear; dry air intrusion from Arabian landmass; relatively cooler SST (historically)

IMD Cyclone Classification

CategoryWind Speed (km/h)Example
Depression31–49Frequent during monsoon; generally causes heavy rain, not wind damage
Deep Depression50–61
Cyclonic Storm62–88Named at this stage by IMD
Severe Cyclonic Storm89–117
Very Severe Cyclonic Storm118–167Cyclone Fani (2019) — hit Odisha; 175 km/h
Extremely Severe Cyclonic Storm168–221Cyclone Amphan (2020) — hit West Bengal; 185 km/h
Super Cyclonic Storm222+Super Cyclone 1999 (Odisha) — winds up to 260 km/h; ~10,000 deaths

For Prelims: IMD classifies cyclones into 7 categories (depression to super cyclonic storm). Cyclones are named at the "Cyclonic Storm" stage (62–88 km/h). The Bay of Bengal generates 4–5 times more cyclones than the Arabian Sea. The Super Cyclone of 1999 (Odisha) was the deadliest in recent Indian history.


Landslide Vulnerability

Scale in India

MetricFigureSource
Landslide-prone area~4.3 lakh sq. km (~12.6% of India's land area)GSI (Geological Survey of India)
States/UTs covered by mapping19 states and UTsGSI (NLSM programme)
Historical landslides documented91,000 (33,904 field-validated)GSI database

Vulnerable Regions

RegionShare of Landslide-Prone AreaKey Areas
Northwest Himalayas~66.5%Jammu & Kashmir, Himachal Pradesh, Uttarakhand — steep slopes, heavy rainfall/snowfall, seismic activity
Northeast Himalayas~18.8%All NE states, especially Mizoram, Nagaland, Manipur, Meghalaya, Arunachal Pradesh
Western Ghats~14.7%Kerala, Karnataka, Goa, Maharashtra — heavy monsoon rainfall on steep laterite slopes; Wayanad landslide (2024)
Eastern GhatsMinimalIsolated areas in Odisha, Andhra Pradesh

Triggering Factors

FactorExplanation
Heavy rainfallPrimary trigger — saturates soil, increases pore water pressure, reduces slope stability
EarthquakesSeismic shaking destabilises slopes — particularly in Zone IV and V (Himalayan region)
DeforestationRemoval of root systems that bind soil; loss of canopy reduces rainfall interception
Road constructionHill-cutting for roads creates unstable slopes — major issue along highways in Uttarakhand, HP
MiningQuarrying destabilises slopes — sand and stone mining in Western Ghats
Climate changeIncreased intensity of extreme rainfall events; permafrost thaw in higher Himalayas

GSI Mapping and Early Warning

InitiativeDetail
National Landslide Susceptibility Mapping (NLSM)GSI has mapped ~4.3 lakh sq. km across 19 states/UTs covering Himalayan, NE, and Western Ghats regions
Bhooskhalan AppGSI's mobile app for landslide reporting and awareness
Bhukosh Portal / NGDRNational Geoscience Data Repository — landslide inventory accessible digitally
Regional Landslide Forecasting System (RLFS)Developed since 2020; combines rainfall thresholds, weather prediction, and real-time data; collaboration between GSI, IMD, ISRO, NCMRWF

Drought-Prone Areas

Scale of Drought Vulnerability

MetricFigureSource
Net sown area vulnerable to drought~68% (of 140 million hectares)Government of India
"Severe" drought-prone area~50% of the vulnerable area — drought occurs with near-regular frequencyNDMA
Drought-prone states13 states accounting for ~68% of India's geographical area and 600+ million peopleGovernment of India

Major Drought-Prone Regions

RegionStatesCauses
Western Rajasthan (Thar)RajasthanExtreme aridity; <250 mm annual rainfall; sandy soil with negligible water retention
Gujarat (Kutch, Saurashtra)GujaratLow and erratic rainfall; saline groundwater; high evaporation
Deccan Plateau (Rain Shadow)Maharashtra (Marathwada, Vidarbha), Karnataka (northern), Telangana, parts of APRain shadow of Western Ghats; <750 mm rainfall; black cotton soil cracks during dry season
Tamil NaduTamil NaduDepends on NE monsoon (October–December), which is less reliable than SW monsoon
RayalaseemaAndhra PradeshSemi-arid; low rainfall; rocky terrain with poor groundwater
BundelkhandUP, MPDegraded land; erratic rainfall; poor irrigation infrastructure
Kalahandi-Bolangir-Koraput (KBK)OdishaChronic drought despite being in a moderate rainfall zone — poor irrigation, poverty

NRSC and ISRO in Drought Mapping

InitiativeDetail
NRSC Drought AssessmentNational Remote Sensing Centre conducts sub-district-level agricultural drought vulnerability assessment using remote sensing data
Indicators usedVegetation indices (NDVI), soil moisture, rainfall departure, cropping pattern, groundwater levels
Bhuvan (ISRO)Provides drought monitoring data; hosts spatial data for vulnerability assessment
NADAMSNational Agricultural Drought Assessment and Monitoring System — uses satellite data for near-real-time drought monitoring during the kharif season

GLOF (Glacial Lake Outburst Flood)

FeatureDetail
WhatSudden release of water from a glacial lake when its moraine dam (natural earthen/ice dam) breaches due to an earthquake, avalanche, or excess meltwater — sends a wall of water, debris, and ice downstream
India's risk~7,500 glacial lakes across 11 Himalayan river basins; NDMA has identified 189–195 lakes with high GLOF potential
Recent eventSouth Lhonak Lake GLOF, Sikkim (October 2023) — breached the moraine dam; flash flood down Teesta River; destroyed Chungthang Dam; 40+ deaths
MonitoringISRO/NRSC satellite monitoring; Bhuvan platform; NDEM (National Database for Emergency Management)
MitigationEarly warning systems, hazard mapping, structural de-pressurisation (controlled lowering of lake levels), sensor-based monitoring, community awareness
NDMA programmeUS $20 million GLOF risk mitigation programme targeting high-risk lakes
Climate linkRising temperatures accelerate glacier retreat, expand existing glacial lakes, and create new ones — increasing GLOF frequency

For Mains: GLOFs represent the intersection of climate change and disaster risk. The Sikkim GLOF (2023) demonstrated the cascading nature of these events — a glacial lake breach destroyed a hydropower dam downstream, raising questions about the environmental clearance of infrastructure projects in GLOF-prone Himalayan zones.


Multi-Hazard Vulnerability Mapping

BMTPC Vulnerability Atlas of India

FeatureDetail
AgencyBuilding Materials and Technology Promotion Council (BMTPC), Ministry of Housing and Urban Affairs
First edition1997 — prepared following the World Conference on Natural Disaster Reduction (1994)
Third edition2019 — released at the Global Housing Technology Challenge
Hazards coveredEarthquakes, cyclones, floods — state-wise hazard maps
PurposeProvides vulnerability data for building codes, urban planning, and disaster preparedness

NDMA's Role

FunctionDetail
GuidelinesNDMA issues hazard-specific guidelines — earthquake, flood, cyclone, landslide, GLOF, heat wave, chemical disasters
Early warningCoordinates with IMD (cyclones, rainfall), GSI (landslides), ISRO/NRSC (satellite monitoring), CWC (floods)
National Disaster Management PlanComprehensive plan covering all phases — prevention, mitigation, preparedness, response, recovery
State coordinationEach state has a SDMA (State Disaster Management Authority) and DDMA (District Disaster Management Authority)

ISRO/NRSC in Hazard Mapping

InitiativeDetail
Flood Atlas of IndiaNRSC prepared a satellite-based flood atlas mapping inundation history
BhuvanISRO's geoportal — hosts flood, drought, GLOF, and landslide vulnerability layers
NDEMNational Database for Emergency Management — centralised disaster data repository
Cartosat / RISATIndian satellites used for high-resolution terrain mapping, flood monitoring, and damage assessment
Decision Support CentreNRSC's DSC provides near-real-time satellite-based support during disasters to NDMA and state agencies

Multi-Hazard Approach

PrincipleDetail
WhatAssessing ALL hazards that affect a given area (earthquake + flood + landslide + cyclone) rather than treating each hazard in isolation
WhyMany areas face multiple, overlapping hazards — NE India (earthquake + flood + landslide); Odisha (flood + cyclone); Gujarat (earthquake + cyclone + drought)
HowOverlay hazard maps for different risks; assess combined vulnerability; design infrastructure and land-use plans accordingly
ExampleBMTPC's Vulnerability Atlas overlays earthquake, cyclone, and flood risk for each state

UPSC Relevance

Prelims Focus Areas

  • India: ~59% landmass earthquake-prone; Zone V = NE India, Kashmir, Kutch, A&N
  • Zone II = lowest risk; Zone V = highest risk (current IS 1893 map: four zones II–V)
  • Flood-prone area: 40 million hectares; worst basins = Brahmaputra, Ganga
  • Drought: 68% of net sown area vulnerable; 13 states
  • Landslide: 12.6% of land area (~4.3 lakh sq. km); GSI mapping; NW Himalayas most prone
  • Ring of Fire = ~90% of world's earthquakes; Alpide Belt = second most active
  • IMD cyclone classification: 7 categories (depression to super cyclonic storm)
  • Bay of Bengal: 4–5 times more cyclones than Arabian Sea
  • BMTPC: Vulnerability Atlas of India (first edition 1997, third edition 2019)
  • GLOF: South Lhonak Lake, Sikkim, 2023; ~7,500 glacial lakes in Indian Himalayas
  • Latur earthquake (1993): led to abolition of Zone I

Mains Focus Areas

  • Multi-hazard vulnerability of India — why India is uniquely disaster-prone (tectonic setting, monsoon climate, diverse topography)
  • Seismic risk in the Himalayas — implications for hydropower, infrastructure, urbanisation
  • Flood management: structural (dams, embankments) vs non-structural (floodplain zoning, early warning, insurance) approaches
  • GLOF as a climate-disaster nexus — infrastructure development in Himalayan GLOF zones
  • Drought management: rainfall dependency, irrigation gaps, and the role of remote sensing (NRSC, NADAMS)
  • Cyclone preparedness: India's improvement in cyclone management (zero-casualty approach) — comparing 1999 Super Cyclone (10,000 deaths) with Cyclone Fani (2019, 64 deaths) and Amphan (2020, 98 deaths)
  • Role of ISRO/NRSC, GSI, IMD, CWC, BMTPC, and NDMA in hazard mapping and early warning
  • Landslide risk and the development-environment balance in hill states

Vocabulary

Moraine

  • Pronunciation: /məˈreɪn/
  • Definition: A mass of rocks, sediment, and debris deposited by a glacier at its edges (lateral moraine), at its terminus (terminal moraine), or beneath it (ground moraine) — terminal moraines often form natural dams that impound glacial lakes, making them critical to GLOF hazard assessment.
  • Origin: From French moraine, possibly from Savoyard dialect morena ("mound of earth"); first used in geological literature in the 18th century to describe the ridges of debris observed at the margins of Alpine glaciers.

Seismic Zonation

  • Pronunciation: /ˈsaɪzmɪk zoʊˈneɪʃən/
  • Definition: The division of a region into zones of varying earthquake risk based on historical seismicity, tectonic setting, geological conditions, and probabilistic hazard analysis, used to determine building design codes and land-use planning standards for earthquake-resistant construction.
  • Origin: From Greek seismos (σεισμός, "earthquake, shaking") + English zonation (from Greek zone, "belt, girdle"); in India, seismic zonation is governed by BIS code IS 1893 (Part 1), first published in 1962 and currently in its 2016 revision, which divides the country into four zones — II, III, IV, and V.

Vulnerability Atlas

  • Pronunciation: /ˌvʌlnərəˈbɪlɪti ˈætləs/
  • Definition: A comprehensive cartographic document that maps the spatial distribution of natural hazard risks — earthquakes, cyclones, floods, landslides — across a country or region, using historical data, geological analysis, and remote sensing to assess the vulnerability of buildings, infrastructure, and populations.
  • Origin: Vulnerability from Late Latin vulnerabilis ("capable of being wounded"), from vulnerare ("to wound"); atlas from Greek mythology — Atlas, the Titan who held up the sky, whose image appeared on the cover of Gerardus Mercator's 1595 book of maps, giving the word its modern meaning.

Key Terms

Ring of Fire

  • Pronunciation: /rɪŋ ɒv ˈfaɪər/
  • Definition: A horseshoe-shaped belt of intense seismic and volcanic activity stretching approximately 40,000 km around the margins of the Pacific Ocean, from New Zealand through Indonesia, Japan, Kamchatka, Alaska, and down the western coasts of North and South America to Chile — accounting for approximately 90% of the world's earthquakes and 75% of its active volcanoes.
  • Context: The Ring of Fire is formed by subduction zones where oceanic plates (Pacific, Nazca, Philippine Sea) plunge beneath continental plates, generating earthquakes and magma that fuels volcanic eruptions; India does NOT lie in the Ring of Fire but in the Alpide (Mediterranean-Himalayan) Belt.
  • UPSC Relevance: GS1 (Physical Geography). Prelims: Ring of Fire = ~90% of world's earthquakes; ~40,000 km; surrounds the Pacific; India is in the Alpide Belt, not the Ring of Fire. Mains: asked to compare the two global seismic belts and discuss India's tectonic vulnerability in the Himalayan collision zone.

Recent Developments (2024–2026)

Wayanad Landslides 2024 — Deadliest Disaster of the Year

On July 30, 2024, catastrophic landslides struck Mundakkai and Chooralmala villages in Wayanad district, Kerala, killing 254 people (confirmed) with 118 missing/presumed dead (~372 total casualties) and injuring 397. The disaster followed intense monsoon rainfall — Wayanad recorded over 20 cm in 24 hours — saturating extremely steep deforested slopes. The Kerala government subsequently ordered a detailed landslide hazard zonation re-assessment. The Geological Survey of India's National Landslide Susceptibility Mapping had already identified over 66,000 susceptible zones, but ground-truth assessments and warnings had not reached the affected villages. The event triggered national discussion on relocating communities from high-risk zones identified in the Gadgil Committee and Kasturirangan reports on Western Ghats.

UPSC angle: Landslide hazard zonation, Western Ghats ecologically sensitive areas, disaster early-warning gaps, and the tension between development and vulnerability reduction are critical GS1 and GS3 themes.

India Floods 2024 — Assam, Andhra Pradesh, Kerala

The 2024 monsoon season produced devastating floods across multiple states. In Assam, rivers including the Brahmaputra, Kopili, and Barak overflowed, inundating 1,325 villages in 19 districts, displacing 400,000 people and killing 109. In Andhra Pradesh, the Krishna River and Budameru Rivulet flooded Vijayawada after 29 cm of rain fell in a single day (September), killing 35 and affecting hundreds of thousands. In Uttar Pradesh, floods affected 1.8 million people in 923 villages in July. The total national economic damage from 2024 floods and landslides ran into thousands of crores, reinforcing the NDMA finding that floods account for over 75% of India's annual disaster-related economic losses.

UPSC angle: India's flood-prone zones, major river basins and their flood cycles, the Brahmaputra's unique flooding characteristics, and flood-disaster management framework are high-priority GS1 and GS3 exam topics.

New Seismic Map and Delhi's Vulnerability — 2025

Following the February 2025 magnitude-4.0 Delhi earthquake (depth 5 km, South Delhi), the BIS and National Center for Seismology (NCS) reviewed Delhi's seismic risk profile. Delhi falls in Seismic Zone IV (high damage risk). The 2025 earthquake's shallow depth (5 km) amplified surface shaking disproportionately — a key hazard in densely built cities. India recorded 452 earthquakes of magnitude 4.0+ within 300 km of the country in 2025. The 7 January 2025 M7.1 earthquake at Tingri (Dingri) County, Shigatse, Tibet (Tibet–Nepal border, ~80 km NNE of Mt Everest, ~10 km depth) — strong shaking felt across Tibet, Nepal, Sikkim, and North Bengal; ~126–400 dead in Tibet — highlighted the trans-Himalayan seismic belt's ongoing activity.

UPSC angle: Seismic zonation of India, earthquake risk in Delhi (Zone IV), urban vulnerability, and the role of BIS codes in building resilience are recurring exam themes.

GLOF (Glacial Lake Outburst Flood)

  • Pronunciation: /dʒiː ɛl oʊ ɛf/
  • Definition: A sudden and catastrophic release of water from a glacial lake when its moraine or ice dam is breached by an earthquake, avalanche, landslide, or excessive meltwater inflow, sending a destructive flood of water, sediment, and debris downstream — a growing hazard in the Himalayas due to climate-change-driven glacier retreat.
  • Context: India has approximately 7,500 glacial lakes across 11 Himalayan river basins, of which 189–195 have been identified as having high GLOF potential; the South Lhonak Lake GLOF in Sikkim (October 2023) breached a moraine dam, destroyed the Chungthang Dam downstream, and killed 40+ people — highlighting the cascading risk of hydropower infrastructure in GLOF-prone zones.
  • UPSC Relevance: GS1 (Physical Geography), GS3 (Disaster Management, Climate Change). Prelims: definition; South Lhonak Lake GLOF (2023, Sikkim); ISRO/NRSC monitoring role. Mains: asked to discuss GLOFs as a climate-disaster nexus — the tension between Himalayan hydropower development and GLOF risk; the role of satellite monitoring and early warning systems; and NDMA's mitigation strategies.

Sources: BIS (IS 1893 — Seismic Zonation), NDMA (ndma.gov.in), GSI (Geological Survey of India — Landslide Hazard Zonation, bhusanket.gsi.gov.in), NRSC/ISRO (Bhuvan, Flood Atlas, GLOF monitoring), BMTPC (Vulnerability Atlas of India), CWC (Central Water Commission), IMD (Cyclone Classification), National Flood Commission, pib.gov.in