India's Disaster Profile
India is one of the world's most disaster-prone countries due to its diverse geo-climatic conditions — long coastline, monsoon dependence, seismic zones, flood plains, and drought-prone regions.
| Feature | Data |
|---|---|
| Area vulnerable to floods | ~12% of land area (~40 million hectares) |
| Area vulnerable to drought | ~68% of cultivable area |
| Coastline exposed to cyclones | 7,516 km (5,400 km mainland + islands) |
| Seismic zones IV & V (high risk) | ~59% of land area |
| Annual disaster deaths (2025) | ~4,419 (lightning: 1,538; floods/landslides: 2,707) |
| Extreme weather days (2025) | 331 out of 334 days recorded extreme weather events |
Key insight: India experienced extreme weather on 331 out of 334 days in 2025 — up from 295 in 2024. Climate change is intensifying the frequency and severity of all natural hazards. This is no longer about occasional disasters; it is about continuous, overlapping crises.
Floods
Why India Floods
| Cause | Detail |
|---|---|
| Monsoon concentration | 80% of annual rainfall in 4 months (June-September); rivers cannot absorb the surge |
| River morphology | Brahmaputra, Ganga, Kosi are braided rivers with shifting channels; carry enormous sediment |
| Deforestation | Reduced water absorption in catchment areas |
| Urbanisation | Concrete surfaces prevent infiltration; overwhelmed drainage systems |
| Encroachment | Construction on flood plains, wetlands, and river beds |
| Dam management | Sudden release from dams during heavy rainfall compounds downstream flooding |
| Climate change | More intense rainfall events; glacial lake outburst floods (GLOFs) in Himalayas |
Flood-Prone Regions
| Region | Major Rivers | States Affected |
|---|---|---|
| Indo-Gangetic Plain | Ganga, Yamuna, Kosi, Gandak, Ghaghra | UP, Bihar, West Bengal |
| Brahmaputra Valley | Brahmaputra, Barak | Assam, Arunachal Pradesh, Meghalaya |
| Central India | Narmada, Tapi, Mahanadi, Godavari | MP, Maharashtra, Odisha, Chhattisgarh |
| Coastal | Storm surge + riverine flooding | Odisha, AP, TN, West Bengal, Gujarat |
| Urban | Inadequate drainage | Mumbai, Chennai, Bengaluru, Hyderabad |
Bihar's Kosi — "Sorrow of Bihar": The Kosi river shifts course dramatically, flooding vast areas. In 2008, a breach in the Kosi embankment in Nepal displaced 3.3 million people in Bihar. The Kosi is a classic UPSC case study for river management, embankment debate, and transboundary water issues.
Rashtriya Barh Ayog (National Flood Commission)
The Rashtriya Barh Ayog (National Flood Commission) was set up in 1976 by the Ministry of Agriculture and Irrigation. In 1980, it submitted its report with 207 recommendations and estimated India's total flood-prone area at 40 million hectares. This figure was later revised upward to 49.815 million hectares by the Working Group on Flood Management for the 12th Five-Year Plan, based on data from state governments. The Commission concluded that flood incidence had increased not due to higher rainfall, but due to anthropogenic factors — deforestation, drainage congestion, and poorly planned development.
Flood Management Measures
| Structural | Non-Structural |
|---|---|
| Embankments and levees | Flood plain zoning (restricting construction) |
| Dams and reservoirs (flood cushion) | Early warning systems (CWC flood forecasting) |
| Channel improvement and dredging | Flood insurance |
| Diversion channels | Community preparedness and evacuation drills |
| Urban drainage improvement | Wetland conservation (natural sponges) |
Droughts
Classification
| Type | Cause | Impact |
|---|---|---|
| Meteorological | Rainfall deficiency (below 75% of normal in a region) | Triggers other drought types |
| Hydrological | Reduced water in rivers, reservoirs, groundwater | Affects drinking water, irrigation, hydropower |
| Agricultural | Soil moisture inadequate for crops at any growth stage | Crop failure, farmer distress |
Drought-Prone Areas of India
| Region | States | Reason |
|---|---|---|
| Western Rajasthan | Rajasthan | Thar Desert; <250 mm rainfall |
| Rain-shadow areas | Karnataka (interior), Maharashtra (Marathwada, Vidarbha), Tamil Nadu | Leeward side of Western Ghats |
| Central Plateau | MP, Chhattisgarh, Jharkhand | Erratic rainfall, poor irrigation |
| Gujarat (Kutch/Saurashtra) | Gujarat | Low, variable rainfall |
Prelims Fact: IMD declares meteorological drought when seasonal rainfall is less than 75% of the long-period average. Severe drought: less than 50%. The Manual for Drought Management (2016) provides a composite drought assessment framework using rainfall, soil moisture, crop health (NDVI), and water availability.
Drought Management
| Measure | Detail |
|---|---|
| Irrigation expansion | PM-KISAN Sinchai Yojana — "Har Khet Ko Paani"; micro-irrigation (drip, sprinkler) |
| Watershed management | Integrated Watershed Management Programme; check dams, contour bunding |
| Groundwater regulation | Atal Jal Yojana; aquifer mapping by CGWB |
| Crop diversification | Shift from water-intensive crops (sugarcane, paddy) to millets, pulses |
| Drought-resistant varieties | ICAR-developed drought-tolerant rice, wheat varieties |
| MGNREGA | Water conservation works (farm ponds, percolation tanks) as drought-proofing |
Cyclones
Cyclone-Prone Coasts
| Coast | Frequency | States |
|---|---|---|
| East coast (Bay of Bengal) | ~5-6 cyclones/year; 80% of Indian cyclones | Odisha, AP, Tamil Nadu, West Bengal |
| West coast (Arabian Sea) | ~1-2 cyclones/year; increasing due to warming | Gujarat, Maharashtra, Kerala, Karnataka |
The Bay of Bengal generates far more cyclones than the Arabian Sea because it is warmer, receives more freshwater inflow (reducing salinity, keeping surface warm), and has weaker wind shear.
IMD Cyclone Classification
| Category | Wind Speed (km/h) | Example |
|---|---|---|
| Depression | 31-50 | — |
| Deep Depression | 51-62 | — |
| Cyclonic Storm | 63-88 | — |
| Severe Cyclonic Storm | 89-117 | Cyclone Nisarga (2020) |
| Very Severe Cyclonic Storm | 118-166 | Cyclone Tauktae (2021) |
| Extremely Severe Cyclonic Storm | 167-221 | Cyclone Fani (2019) |
| Super Cyclonic Storm | 222+ | Cyclone Amphan (2020) |
Cyclone Naming — RSMC New Delhi
IMD's Regional Specialised Meteorological Centre (RSMC), New Delhi is one of six RSMCs worldwide designated by WMO to issue tropical cyclone advisories. It covers the North Indian Ocean (Bay of Bengal and Arabian Sea, 45°E–100°E). Cyclone naming for this basin began in September 2004, following a decision by the WMO/ESCAP Panel on Tropical Cyclones at its 27th Session in Muscat (2000). Names are contributed by 13 member countries — Bangladesh, India, Iran, Maldives, Myanmar, Oman, Pakistan, Qatar, Saudi Arabia, Sri Lanka, Thailand, UAE, and Yemen. The current list contains 169 names (13 from each country), used sequentially.
Recent Major Cyclones
| Cyclone | Year | Category | Landfall | Key Facts |
|---|---|---|---|---|
| Amphan | May 2020 | Super Cyclonic Storm | West Bengal (near Bakkhali) | Strongest cyclone in Bay of Bengal since 1999; peak winds 240 km/h; $15 billion damage (costliest in North Indian Ocean); 128 deaths |
| Tauktae | May 2021 | Very Severe Cyclonic Storm | Gujarat (Una, Diu coast) | Strongest cyclone to hit Gujarat in decades; peak winds 185 km/h; 174 deaths; $2.25 billion damage |
| Biparjoy | June 2023 | Very Severe Cyclonic Storm | Gujarat (Jakhau, Kutch) | Arabian Sea cyclone; wind speeds 115-125 km/h at landfall; mass evacuation of 1.5 lakh people; minimal casualties |
Cyclone Management — India's Success Story
| Measure | Detail |
|---|---|
| Early warning | IMD's RSMC (Regional Specialised Meteorological Centre) provides 72-hour cyclone track forecasts with >85% accuracy |
| Evacuation | Odisha evacuated 1.2 million people before Cyclone Fani (2019) — near-zero casualties compared to the 1999 super cyclone (10,000+ deaths) |
| Cyclone shelters | 900+ multipurpose cyclone shelters along east coast |
| NDRF deployment | Pre-positioned before cyclone landfall |
| Coastal embankments | Mangrove restoration (natural buffer — Sundarbans reduced Amphan's impact) |
Odisha's transformation: In the 1999 super cyclone, Odisha lost 10,000+ lives. In 2019 (Cyclone Fani, equally powerful), Odisha lost just 64 lives. This is arguably India's greatest disaster management success story — driven by early warning systems, mass evacuation, cyclone shelters, and institutional learning. For Mains, use this as a positive case study.
Heat Waves
Heat waves are an increasingly deadly natural hazard in India, occurring primarily from March to June.
IMD Heat Wave Declaration Criteria:
| Parameter | Heat Wave | Severe Heat Wave |
|---|---|---|
| Departure from normal | 4.5°C to 6.4°C above normal | More than 6.4°C above normal |
| Absolute temperature | Maximum ≥ 45°C | Maximum ≥ 47°C |
| Threshold (Plains) | Station must reach at least 40°C | Station must reach at least 40°C |
| Threshold (Coast) | Station must reach at least 37°C | Station must reach at least 37°C |
| Threshold (Hills) | Station must reach at least 30°C | Station must reach at least 30°C |
Heat wave conditions must be met at least at 2 stations in a meteorological sub-division for at least 2 consecutive days, and are declared on the second day. With climate change, heat wave frequency and intensity are rising sharply — India recorded extreme heat events across large parts of the country in 2024 and 2025.
Landslides
| Feature | Detail |
|---|---|
| Prone areas | Himalayas (most vulnerable), Western Ghats, Nilgiris, NE India |
| Causes | Heavy rainfall, deforestation, road construction, mining, seismic activity |
| Wayanad (2024) | 420+ killed (Kerala's deadliest landslide ever; India's deadliest in decades); Mundakkai and Chooralmala villages, 30 July 2024; triggered by extreme rainfall on deforested slopes; 5,000+ displaced |
| Joshimath (2023) | Subsidence due to geological instability + construction + tunnel projects |
| Mitigation | Slope stabilisation, drainage management, land-use regulation, early warning (GSI Landslide Atlas) |
Earthquakes
Seismic Zones of India
| Zone | Risk Level | Major Cities |
|---|---|---|
| Zone V | Very high | Guwahati, Srinagar, parts of Uttarakhand, Andaman & Nicobar |
| Zone IV | High | Delhi, Patna, parts of J&K, HP, Uttarakhand |
| Zone III | Moderate | Mumbai, Kolkata, Chennai, Ahmedabad |
| Zone II | Low | Most of peninsular India |
Prelims Fact: India's seismic zonation uses a four-zone system (II-V) based on the Bureau of Indian Standards (BIS). The entire Himalayan belt and NE India are in Zone IV-V due to the Indian plate pushing under the Eurasian plate. The 2001 Bhuj earthquake (7.7 magnitude, 20,000+ deaths) occurred in Zone V.
Disaster Management Framework
Disaster Management Act, 2005
| Feature | Detail |
|---|---|
| Enacted | 23 December 2005 |
| Objective | Holistic, proactive, technology-driven approach to disaster management |
| Three-tier structure | NDMA (national), SDMA (state), DDMA (district) |
Institutional Framework
| Body | Level | Head | Role |
|---|---|---|---|
| NDMA (National Disaster Management Authority) | National | Prime Minister (Chairperson) | Policy, guidelines, coordination |
| SDMA (State Disaster Management Authority) | State | Chief Minister (Chairperson) | State-level plans and response |
| DDMA (District Disaster Management Authority) | District | District Collector (Co-chair with elected representative) | Ground-level implementation |
| NDRF (National Disaster Response Force) | National | Director General | Specialised disaster response — 16 battalions (~18,000 personnel) |
| SDRF (State Disaster Response Fund) | State | — | Primary fund for state-level response |
| NEC (National Executive Committee) | National | Home Secretary | Coordination of response |
Prelims Trap: NDMA is chaired by the PM (not the Home Minister). NDRF battalions are drawn from paramilitary forces (BSF, CRPF, CISF, ITBP, SSB, Assam Rifles). SDRF (fund) is different from State Disaster Response Force (some states have their own response forces).
Disaster Funds
| Fund | Source | Ratio (Centre:State) |
|---|---|---|
| NDRF (National Disaster Response Fund) | Entirely Central Government | 100:0 |
| SDRF (State Disaster Response Fund) | Central + State Government | 75:25 (General); 90:10 (NE & Himalayan states) |
Sendai Framework for Disaster Risk Reduction (2015-2030)
| Feature | Detail |
|---|---|
| Adopted | March 2015 (successor to Hyogo Framework) |
| Four priorities | (1) Understanding disaster risk, (2) Strengthening governance, (3) Investing in DRR, (4) Enhancing preparedness for "Build Back Better" |
| Seven targets | Reduce mortality, affected people, economic loss, infrastructure damage; increase early warning access, DRR strategies, international cooperation |
| India's role | Active participant; CDRI (Coalition for Disaster Resilient Infrastructure) launched by India at UNGA 2019 |
UPSC Relevance
Prelims Focus Areas
- Seismic zones (II-V) — which cities in which zone
- IMD cyclone classification (wind speeds for each category)
- Cyclone naming — RSMC New Delhi, 13 WMO/ESCAP member countries, naming since 2004
- NDMA structure — who chairs, three-tier system
- NDRF — number of battalions, parent forces
- SDRF funding ratio (75:25, 90:10)
- Disaster Management Act, 2005 — key provisions
- Sendai Framework — priorities and targets
- Drought classification (meteorological, hydrological, agricultural)
- Heat wave criteria — IMD thresholds (40°C plains, 30°C hills, departure-based)
- Rashtriya Barh Ayog (1976) — flood-prone area estimate (40 mha)
Mains Focus Areas
- Climate change and increasing disaster frequency
- Odisha cyclone management — success case study
- Urban flooding — causes and solutions (Mumbai, Chennai)
- Flood-drought cycle — why same states face both
- Disaster risk reduction vs disaster response — shifting paradigm
- Community-based disaster preparedness
- Transboundary disasters (Kosi, Brahmaputra) and riparian cooperation
- Landslide vulnerability in Himalayas — development vs safety
- Early warning systems and technology in disaster management
Cross-paper relevance
- GS3 — Disaster Management (primary) — Floods, droughts, cyclones: Cyclone Remal/Dana 2024, IMD cyclone EWS, river basin flood management (Kosi, Brahmaputra), PMFBY drought insurance
- GS3 — Environment — Climate change linkage: intensification of Bay of Bengal cyclones, changing monsoon patterns, glacial melt increasing flood risk, drought frequency
- GS2 — International Relations — Transboundary dimension: India-Bangladesh Kosi/Teesta water sharing, India-China upstream dam concerns (Brahmaputra)
- Essay — Recurring theme: "Managing India's water extremes: floods and droughts" (2022); "Climate change and India's water security" (2023)
Recent Developments (2024–2026)
Cyclone Remal and Cyclone Dana — 2024 Bay of Bengal Season
The 2024 North Indian Ocean cyclone season brought two significant storms to India's eastern coastline. Cyclone Remal (May 2024) — the season's first cyclone — made landfall at the West Bengal-Bangladesh border near Sagar Island on 26 May. It caused 34 deaths in Mizoram, 3 in Assam, and 13 in Telangana due to associated heavy rainfall. Twelve NDRF teams were deployed.
Cyclone Dana (October 2024) — a severe cyclonic storm — made landfall near Bhitarkanika, Odisha on 24–25 October. Pre-landfall, Odisha evacuated over 7 lakh people — drawing on the state's celebrated zero-casualty cyclone management model. Twenty-five NDRF teams (11 Odisha, 14 West Bengal) were deployed. Dana caused significant damage to standing Kharif crops and disrupted fishing livelihoods but resulted in minimal human casualties — demonstrating the effectiveness of Odisha's preparedness ecosystem built since the 1999 super-cyclone.
Cyclone Fengal (November 2024) — made landfall near Puducherry on 30 November 2024; affected Tamil Nadu, Puducherry, and Andhra Pradesh. Fengal brought extremely heavy rainfall — Puducherry recorded ~40 cm in 24 hours (among the highest single-day totals in Puducherry's recorded history). The cyclone caused significant flooding in Puducherry and coastal Tamil Nadu, displacing thousands. NDRF teams were pre-positioned in Tamil Nadu and Andhra Pradesh. Cyclone Fengal was notable for its comparatively slow movement, which prolonged the rainfall period. The IMD predicted its track and intensity 4–5 days in advance.
Cyclone Shakthi (October 2025): A Severe Cyclonic Storm that formed over the east-central Arabian Sea in early October 2025. The name "Shakthi" was contributed by Sri Lanka. The cyclone intensified to wind speeds of ~120–130 km/h and tracked westward towards Oman — it did not make landfall in India. However, peripheral effects brought heavy rainfall and rough seas along Maharashtra's Konkan coast (Mumbai, Thane, Palghar, Raigad). Shakthi reflects the documented 52% increase in severe cyclones in the Arabian Sea between 2001 and 2019 — a climate change signal.
UPSC angle (Prelims 2027): Cyclone Remal (May 2024, West Bengal-Bangladesh border); Cyclone Dana (October 2024, Bhitarkanika, Odisha); Cyclone Fengal (November 2024, Puducherry landfall, ~40 cm in 24 hours); Cyclone Shakthi (October 2025, Arabian Sea, Oman-track, Konkan impact). Mains (GS3) — evolution of cyclone preparedness; Odisha model; pre-warning evacuation as life-saving tool; climate change increasing cyclone intensity in Arabian Sea and Bay of Bengal.
ENSO and 2026 Monsoon Outlook — Drought Risk Year
ENSO status (May 2026): Weak La Niña-like conditions are transitioning to ENSO-neutral, with the Monsoon Mission Climate Forecast System (MMCFS) projecting El Niño development during the 2026 Southwest Monsoon season. IMD's April 2026 long-range forecast: 2026 Southwest Monsoon rainfall at 92% of LPA (below-normal; model error ±5%) — the first below-normal forecast since 2023. Probability of a deficient season (below 90% of LPA) is 35% — more than double the long-term probability of 16%. Neutral Indian Ocean Dipole (IOD) conditions may shift positive towards the season's end, providing partial relief.
Monsoon onset 2026: IMD forecast Kerala onset at approximately 27 May (±4 days) — five days earlier than the normal of 1 June. The Andaman & Nicobar onset occurred on 16 May (six days ahead of forecast), consistent with an early season.
UPSC angle (Prelims 2027): IMD 2026 forecast: 92% of LPA; ENSO transitioning La Niña → neutral → potential El Niño; IOD neutral-to-positive. Below-normal monsoon heightens drought risk in Rajasthan, Marathwada (Maharashtra), Karnataka interior, and Tamil Nadu. Historically, El Niño conditions suppress SW Monsoon rainfall in India.
India Floods 2024 — Record Deaths and Damage
Extreme weather in 2024 killed 3,472 people across India — a 15% increase over 2023 (CSE-Down to Earth State of Extreme Weather Report 2024). Flood and landslide events dominated: Wayanad, Kerala (July 30, 2024) — 400+ dead, the worst disaster in Kerala's recent history; Assam floods — 109 deaths; Andhra Pradesh (Vijayawada) floods (September 2024) — 35+ deaths, 2.7 lakh affected; Himachal Pradesh landslide season — 358 dead. Cropped area damage: 4.07 million hectares (84% increase over 2023).
India experienced extreme weather events on 322 days in 2024. The Wayanad disaster prompted a Central government review of Early Warning Systems in high-risk hill districts.
Wayanad Model Township — Rehabilitation Progress (2025-26): Kerala's "Rebuild Wayanad" project — 64.47 hectares of land acquired near Kalpetta from Elstone Estate group. Foundation stone laid March 2025. First phase: 178 houses handed over on 1 March 2026 to families whose homes were completely destroyed. Total 402 beneficiary families identified. Construction involves 1,200+ workers in round-the-clock shifts across 5 zones. Central government contribution: ₹900 crore requested; project partly funded from Kerala State Disaster Management Fund. Chief Minister Vijayan committed to rehabilitating all survivors before the 2026 monsoon. Status: Phase 1 complete as of March 2026; remaining phases under construction.
UPSC angle (Prelims 2027): Wayanad landslide: July 30, 2024; 400+ deaths (India's deadliest in decades); Mundakkai-Chooralmala, Kerala; 322 extreme weather days in India (2024); 3,472 deaths; Wayanad Model Township Phase 1 complete (March 2026, 178 houses). Mains (GS3) — climate change and disaster frequency; hill-district EWS failure; landslide vulnerability and deforestation; rehabilitation models for disaster victims.
India 2025 — Disasters on 331 of 334 Days (January–November)
Early data for 2025 (Down to Earth) shows India experienced disasters on 331 of the first 334 days of 2025 — continuing the alarming escalation from 295 days in 2024. This is the highest frequency ever recorded. The trend reflects climate change-induced elongation of the extreme weather season — with heat waves beginning earlier (March instead of May), monsoon becoming more intense in shorter bursts, and cyclone season extending beyond October.
This data is critically important for UPSC: it directly contradicts the assumption that disaster risk can be addressed through reactive response alone, and strengthens the argument for proactive risk reduction (Sendai Framework) and climate adaptation (Paris Agreement) as India's primary DRR strategy.
UPSC angle: Prelims — Down to Earth extreme weather data (2025). Mains (GS3) — disaster-climate change nexus; proactive vs reactive disaster management; case for DRR investment in the context of escalating disaster frequency.
Vocabulary
Inundation
- Pronunciation: /ɪˌnʌn.ˈdeɪ.ʃən/
- Definition: The overflow of water onto land that is normally dry, caused by the rising and spreading of a river, sea, or other water body during a flood event.
- Root: Latin inundātiō = a flood; inundāre = to overflow; in- = into; unda = wave
- Origin: From Old French inundacion ("flood"), from Latin inundātiō ("a flood"), from inundāre ("to overflow"), from in- ("into, upon") + undāre ("to flow"), from unda ("a wave"); attested in English from the 15th century.
- Part of Speech: noun
- Word Family: inundate (v), inundated (adj), inundating (v pres.p), undulate (v, cognate), undulation (n)
- Usage: The annual inundation of the Brahmaputra valley, while devastating to life and property, simultaneously replenishes the alluvial soils on which the region's agrarian economy depends — a paradox that any disaster-management framework must reconcile.
- Synonyms: flood, deluge, flooding, submergence, overflow, torrent
- Antonyms: drought, drainage, desiccation, dryness
- Mnemonic: Latin root unda = 'a wave'; an in-UND-ation is when waves come IN over the land — picture water surging IN and UNDer everything.
Siltation
- Pronunciation: /sɪlˈteɪ.ʃən/
- Definition: The process by which fine sediment (silt) is deposited and accumulates in water bodies such as rivers, reservoirs, and dams, reducing their water-carrying or storage capacity and increasing flood risk.
- Root: Middle English cylte = gravel (possibly Scandinavian, related to salt deposits); silt + -ation (Latin suffix = action/process); first attested 1930s
- Origin: From English silt (Middle English cylte, "gravel," possibly from a Scandinavian source related to salt deposits) + -ation (Latin suffix denoting action or process); first attested in the 1930s.
- Part of Speech: noun (uncountable)
- Word Family: silt (n/v), silted (adj), silting (v pres.p), silty (adj), desiltation (n)
- Usage: Decades of unregulated catchment deforestation have accelerated the siltation of major reservoirs, sharply curtailing their live storage capacity and undermining the irrigation and hydropower dividends on which the region's food and energy security depend.
- Synonyms: sedimentation, silting-up, deposition, aggradation, accumulation, infilling
- Antonyms: dredging, desilting, scouring, erosion
- Mnemonic: "Silt" + "-ation" = the action of silt settling. Picture a SILT-laden river quietly STATIONing (parking) its mud at the bottom until the channel chokes.
Desertification
- Pronunciation: /dɪˌzɜː.tɪ.fɪˈkeɪ.ʃən/
- Definition: The process by which fertile or semi-arid land becomes increasingly arid and unproductive, typically as a result of drought, deforestation, overgrazing, or inappropriate agricultural practices, leading to the loss of topsoil and vegetation cover.
- Root: Latin dēsertum = uninhabited place + -ficātiōnem = a making (from facere = to make)
- Origin: From English desert (from Latin dēsertum, "an uninhabited place") + -ification (from Latin -ficātiōnem, "a making"); the term was coined in the 1970s in the context of the Sahel drought.
- Part of Speech: noun (uncountable)
- Word Family: desertify (v), desertified (adj), desert (n/v/adj), desertisation (n)
- Usage: Decades of monoculture, aquifer depletion and the retreat of green cover have accelerated desertification across India's drylands, making the restoration of degraded land a central pillar of the country's climate-resilience and food-security strategy.
- Synonyms: land degradation, desiccation, aridification, soil erosion, denudation, dryland degradation
- Antonyms: afforestation, reforestation, land reclamation, greening
- Mnemonic: Desert + -ification = "the making of a desert" — picture once-fertile fields literally turning into sand.
Key Terms
Drought Types and Declaration
- Definition: Drought is a recurring condition of significant water shortage caused by below-normal rainfall and depleted moisture/water reserves; in India it is classified into meteorological, agricultural, hydrological and socio-economic types, and is officially declared by State Governments following the rainfall-trigger and impact-indicator methodology laid down in the Manual for Drought Management, 2016.
- Context: Drought is not notified under the Disaster Management Act, 2005 as a "national" calamity but is one of the disasters eligible for relief under the State Disaster Response Fund (SDRF). Following criticism that earlier guidelines were inconsistent across states, the Union Ministry of Agriculture and Farmers Welfare issued a revised Manual for Drought Management in 2016, introducing scientific indices and a standardised, time-bound declaration procedure. The declaration is a state subject — the Centre supplements state efforts financially only when a drought is of "severe" nature.
- UPSC Relevance: This is a foundational GS3 disaster-management and agriculture topic overlapping with GS3 economy (rural distress, crop insurance) and GS2 (Centre-State fiscal relations via SDRF/NDRF). Prelims commonly tests the four drought types, monitoring agencies (IMD, CWC, CGWA, MNCFC) and the 2016 Manual; Mains probes drought management strategy, the federal politics of declaration, and links to climate change and water stress. No verified PYQ exists for this exact term, but it underpins recurring questions on disaster management, agrarian distress and water resources.
Cloudburst
- Definition: A cloudburst is an extreme, highly localised weather event in which 100 mm or more of rainfall occurs within one hour over a small area of roughly 20-30 sq km, as defined by the India Meteorological Department (IMD). It typically produces sudden, devastating flash floods, especially in hilly terrain.
- Context: Cloudbursts are most common in the Himalayan states (Himachal Pradesh, Uttarakhand, Jammu & Kashmir, Ladakh and the Northeast) during the southwest monsoon (June-September), where steep slopes force moisture-laden air to rise rapidly. Their small spatial and temporal scale makes them extremely difficult to forecast, and the resulting flash floods, landslides and debris flows cause heavy loss of life and infrastructure. Notable recent events include Kedarnath (Uttarakhand, June 2013), the Amarnath cave flood (J&K, July 2022) and the Dharali/Uttarkashi disaster (Uttarakhand, August 2025).
- UPSC Relevance: This is a foundational GS3 disaster-management and GS1 geography (climatology) concept that underpins questions on flash floods, the Himalayan ecology, monsoon dynamics and early-warning systems. For Prelims, the IMD's quantitative definition (100 mm/hour over ~20-30 sq km), the orographic-lift mechanism and cumulonimbus convection are high-yield factual points. For Mains, examiners frame it around mitigation, prediction challenges (radar gaps in the Himalayas), the role of NDMA and IMD nowcasting, and the climate-change linkage to intensifying extreme-rainfall events. No verified UPSC PYQ cites this exact term, so it is best treated as a recurring current-affairs-linked concept rather than a stand-alone PYQ topic.
Flood Zoning
- Pronunciation: /flʌd ˈzəʊ.nɪŋ/
- Definition: The demarcation of areas along rivers and water bodies into zones based on their susceptibility to flooding of varying magnitudes and frequencies, with regulations governing the type of permissible land use and development in each zone to minimise flood damage. India's Central Water Commission prepared the Model Bill for Flood Plain Zoning, circulated by the Government in 1975, which classifies flood plains into prohibited zones (highest risk), restricted zones, and warning zones with graded development restrictions.
- Context: The concept was recommended by the Rashtriya Barh Ayog (National Flood Commission, set up in 1976, report submitted in 1980 with 207 recommendations). Despite the Model Bill being circulated in 1975, only four states have enacted flood plain zoning legislation: Manipur (1978), Rajasthan (1990), the erstwhile J&K (2005), and Uttarakhand (2012). The severely flood-prone states of Bihar, Assam, and UP have prepared flood hazard maps but have not legislated formal zoning laws -- a massive implementation failure given that India's flood-prone area is estimated at 40-49.8 million hectares.
- UPSC Relevance: GS3 Disaster Management. Mains asks about non-structural flood mitigation measures -- flood plain zoning is the primary example alongside flood forecasting and flood insurance. The implementation gap (only 4 states out of 28+ have enacted legislation since 1975) is a critical Mains point on governance failure. Connect to increasing urban flooding (Mumbai 2005, Chennai 2015, Bengaluru 2022) caused by encroachment on flood plains and wetlands, outdated master plans, and the failure of land-use planning. Also relevant for Dam Safety Act 2021 questions.
Drought Declaration
- Pronunciation: /dɹaʊt ˌdɛk.ləˈɹeɪ.ʃən/
- Definition: An official determination by a state government that drought conditions exist in a specified area, based on a composite assessment across five index categories -- rainfall (25% or more deficiency below the long-period average as per IMD), agriculture (crop condition via NDVI satellite data), soil moisture, hydrology (reservoir levels, groundwater), and remote sensing indicators -- triggering the release of relief measures and SDRF/NDRF disaster response funds.
- Context: The framework is guided by the Manual for Drought Management (2016), revised by the Central Ministry of Agriculture, which replaced the earlier more straightforward process with a multi-indicator approach. A key criticism of the 2016 revision is that it made drought declaration significantly more complex -- after 2016, only states hit by severe drought (50%+ rainfall deficiency) are eligible for Central NDRF assistance, whereas earlier both moderate and severe drought qualified. Drought declarations are ultimately governed by ground verification of agricultural losses, placing the liability on State Drought Monitoring Centres (DMCs). IMD classifies drought as moderate (26-50% rainfall deficiency) or severe (above 50%).
- UPSC Relevance: GS3 Disaster Management and GS3 Agriculture. Prelims tests IMD criteria for meteorological drought (25% rainfall deficiency from LPA), the distinction between meteorological (rainfall), hydrological (water bodies), and agricultural (soil moisture affecting crops) drought, and the Manual for Drought Management 2016. Mains asks about drought management strategy -- linking drought declaration to SDRF/NDRF fund release, crop insurance (PMFBY), long-term mitigation through watershed management (MGNREGA), and why the 2016 Manual made it harder for states to access central funds. About 68% of India's cultivable area is drought-prone.
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