Content
What does the SHANTI Bill change?
What remote-sensing reveals about plants, forests, and minerals from space
Police in States step up social media monitoring
Mexico’s Popocatépetl volcano — first 3D interior imaging
Places in News(Colombia, Mexico, Cuba, Greenland)
What does the SHANTI Bill change?
Why is it in News?
Parliament has passed the Sustainable Harnessing and Advancement of Nuclear Energy in India (SHANTI) Bill.
It opens India’s nuclear power sector to private and foreign participation — ending the exclusive State-run regime since 1956.
Opposition demanded Select Committee review, citing concerns about:
diluted liability
safety and transparency risks
weakening RTI and labour safeguards
The government argues the law is essential for energy security, baseload power, clean energy, and nuclear expansion.
Relevance
GS-2 | Polity & Governance
Public sector reforms, regulatory institutions, accountability
Parliamentary oversight, transparency, RTI, labour safeguards
State vs market role in strategic sectors
GS-3 | Economy / Infrastructure / Energy
Nuclear energy policy, investment models, PPP in strategic sectors
Energy security, baseload power, Net-Zero strategy
Technology partnerships & FDI policy constraints
The Basics — Nuclear Governance Before SHANTI
Sector governed by:
Atomic Energy Act, 1962
Civil Liability for Nuclear Damage (CLND) Act, 2010
Nuclear operations were monopolised by NPCIL.
Private/foreign role restricted due to:
strict supplier liability
high legal risk exposure
Result → capital shortage, slow capacity addition, stalled global partnerships.
What the SHANTI Bill Does ? — Core Provisions
Opens nuclear projects to private Indian companies (licences to own, build, operate plants)
Allows foreign supplier participation (indirectly, via JV / supply chains)
Government to retain 51% control over strategic & sensitive functions:
nuclear fuel cycle / reprocessing
heavy water & enrichment
radioactive waste & spent fuel
radiation safety & emergency systems
regulatory oversight
Ends NPCIL’s monopoly
Enables PPP-style model
Private role in:
equipment & fuel fabrication
reactor construction & operation
R&D and advanced technologies
Supports deployment of:
Small Modular Reactors (SMRs)
Advanced Pressurised Water Reactors
Indigenous reactor designs
Policy link: ₹20,000 crore allocation announced for SMRs & advanced reactors under the Nuclear Energy Mission.
Regulatory Architecture — Role of AERB
Atomic Energy Regulatory Board (AERB) given statutory status
→ now answerable to Parliament, not only the executive
Mandate:
nuclear & radiation safety
licensing & inspection
emergency preparedness
quality & industrial safety compliance (Factories Act linkage)
Criticism flagged:
Concentration of regulatory power in one body → demand for independent nuclear safety commission.
What Has Changed on Liability?
Earlier regime (CLND Act, 2010)
Operators could recover liability from suppliers for:
defective parts, design faults, wilful acts
Supplier liability discouraged foreign entry.
Under SHANTI — Predictable, Capped Liability
Plant Type
Capacity
Operator Liability Cap
Large plants
~3600 MW
₹3,000 crore
Medium plants
1500–3600 MW
₹1,500 crore
SMRs
~150 MW
₹100 crore
Penalty for violations
—
₹1 crore (cap)
Beyond the cap → Union Government pays, supported by a Nuclear Liability Fund.
Supplier liability removed completely.
Government reasoning:
Predictable liability → lowers risk → attracts investment & technology inflow.
Opposition argument:
Shifts burden to State & society → weakens polluter-pays principle.
Comparative data point
Fukushima damages ≈ 700× higher than SHANTI’s proposed liability cap
→ highlights catastrophic-risk underestimation concern.
Safeguards Retained
No automatic FDI permission — route remains case-specific & regulated
AERB authorisation required for:
possession, production, disposal of nuclear/radiation materials
establishing & operating facilities
Government retains:
fuel reprocessing, enrichment, heavy-water production
high-level waste management
Nuclear Liability Fund created for accident compensation.
Transparency, Labour & Safety — Contested Clauses
Concerns Raised
Section 39 — overrides RTI Act review & appeal mechanisms
→ restricts public access to safety & operational information.
Section 42 — exempts nuclear workers from general labour safety laws
→ unions term it “draconian”.
No statutory requirements for:
public hearings
EIA disclosure
community consent
periodic safety reporting / parliamentary review
Government’s Position — Rationale & Benefits
Strengthen energy security & baseload capacity
Reduce dependence on:
coal & fossil imports
single-country nuclear partnerships
Support:
Net-Zero 2070
clean energy & grid stability
Reactivate stalled deals with U.S., France, Japan
Encourage technology diversity + investment inflow
Why Nuclear Energy Matters for India ?
Renewables intermittency + storage costs
India still relies heavily on coal for power
Nuclear provides:
24×7 baseload
very low lifecycle emissions
long-term cost stability
Current nuclear profile
25 reactors across 7 plants
21 PHWRs + 4 LWRs
Installed nuclear capacity ~7 GW (≈ 3% of total electricity mix)
Long-term strategy built around thorium cycle & fast breeder reactors
Opposition’s Key Criticisms
Accountability diluted, private profit + public risk
Liability caps too low, supplier walks free
RTI override weakens public oversight
Labour protections diluted
Vendor-driven push despite indigenous thorium tech capability
Lack of safety-democracy mechanisms (consultation, EIA transparency)
Global comparator:
France keeps nuclear under full state control
Labels the Bill as:
pro-corporate / pro-oligarch
risking public safety & environment
Strategic & Governance Implications
Marks a paradigm shift: State-monopoly → regulated PPP model
May accelerate:
capacity addition
financing & technology partnerships
Raises structural questions:
Are liability caps socially optimal?
Is independent nuclear safety regulation adequate?
Can transparency be ensured without weakening security?
Takeaways
SHANTI Bill = Liberalisation of nuclear sector + capped operator liability + removal of supplier liability + PPP-driven expansion under State oversight.
Balances investment predictability vs public safety & accountability risks.
Core tension = Energy security + clean baseload ↔ liability, transparency, labour & safety concerns.
What remote-sensing reveals about plants, forests, and minerals from space
Why is it in News?
Remote-sensing technologies — satellites, drones, hyperspectral sensors, SAR radars, and gravity-mapping missions — are increasingly being used for:
resource mapping (minerals, groundwater, hydrocarbons)
forest health & biomass estimation
flood mapping & water monitoring
climate change research & environmental protection
Growing relevance due to:
India’s push toward climate resilience, water security, precision agriculture, and mineral exploration
expansion of ISRO-led EO missions, NISAR, Bhuwan, NRSC programmes
Remote-sensing has moved from mapping what we can see → to detecting what lies underground and underwater using physics-based signatures.
Relevance
GS-1 | Geography (Physical & Resource Geography)
Earth observation, landforms, vegetation & hydrology mapping
GS-3 | Environment, Disaster Management & S&T
Climate monitoring, biodiversity assessment, forest biomass
Mineral & groundwater exploration
Flood mapping, drought monitoring, precision agriculture
Space technology applications (ISRO missions, NISAR, RISAT)
The Basics — What is Remote-Sensing?
Remote-sensing = observing the Earth without physical contact using:
satellites
aircraft / drones
ground-based sensors
Works by analysing electromagnetic radiation (EMR) reflected or emitted by Earth-surface features.
Spectral Signatures
Every object reflects/absorbs EMR differently.
These reflection patterns = spectral signatures (like fingerprints).
Sensors interpret signatures to identify:
healthy crops vs stressed crops
minerals vs soil
water vs land
vegetation types / species
Vegetation Monitoring — NDVI & Biomass
Healthy plants:
absorb red light (for photosynthesis)
reflect near-infrared (NIR) (to avoid heat stress)
Normalised Difference Vegetation Index (NDVI)
High NDVI → healthy vegetation
Low NDVI → drought / disease stress
Evidence:
Journal of Plant Ecology (2008) — spectral data enables mapping of plant communities & forest species at landscape scale.
Applications
crop health monitoring
drought early warning
forest biomass & carbon-storage estimation (climate mitigation)
Water Mapping — NDWI & SAR
Optical Water Mapping
Water reflects visible green
Strongly absorbs NIR & SWIR
Normalised Difference Water Index (NDWI)
→ High values over water bodies
Modified NDWI (MNDWI)
→ Better in urban areas (distinguishes water vs shadows)
Limitation
Optical sensors fail during:
cloud cover
night
storms / cyclones
Synthetic Aperture Radar (SAR)
Active microwave sensor
Sees through clouds & darkness
Calm water = smooth mirror → black on radar image
→ Enables flood mapping during cyclones
Key Missions
NASA–ISRO NISAR
Sentinel-1 (ESA)
RISAT series (ISRO)
Subsurface Mapping — Minerals, Oil & Gas
Hyperspectral Sensing
Splits light into hundreds of narrow bands
Produces per-pixel spectral fingerprints
Applications
mineral prospecting (Cu, Au, Li)
alteration-zone mapping
soil & rock composition studies
Evidence:
Ore Geology Reviews (2023) — hyperspectral sensors map hydrothermal alteration zones linked to ore deposits.
Oil & Gas Exploration
Micro-seepage detection
Hydrocarbons leaking through micro-cracks:
alter soil chemistry
stress vegetation → yellowing leaves
Satellites detect these subtle spectral anomalies
Structural Mapping
Anticlines / Dome-fold traps
Surface folds suggest similar subsurface geometry
Tools
Landsat, ASTER (NASA) → structural imaging
Bathymetry via ocean-surface gravity anomalies
Magnetometry → detects depth of magnetic basement rocks
Satellites don’t say “oil is here”, but “this structure can hold oil”.
Groundwater Mapping — GRACE Mission
Large aquifers exert stronger gravitational pull
NASA GRACE (2002–2017) used twin satellites to:
measure distance variation caused by gravity changes
infer groundwater volume shifts
Landmark finding (Nature, 2009)
North India groundwater depletion detected from space
→ linked to irrigation withdrawals
Benefits of Remote-Sensing
Faster, cheaper, low-impact exploration
Avoids random drilling / geological disturbance
Enables:
precision agriculture
climate monitoring
disaster management
resource conservation
Environmental Value
helps ensure resources are not over-exploited
supports sustainable groundwater & forest management
Limitations
Requires ground-truth validation
Interpretation depends on:
atmospheric conditions
sensor resolution
calibration accuracy
Cannot detect resources directly — only indicators
Police in States step up social media monitoring
Why is it in News?
Over the last five years, States have significantly scaled up social-media monitoring infrastructure within police departments.
Number of dedicated social-media monitoring cells
2020: 262 cells
2024: 365 cells (across 28 States + 8 UTs)
Growth reflects policing priorities around:
misinformation, hate speech, rumour-control
cyber-enabled crime & communal mobilisation
protest surveillance & law-and-order monitoring
Data Source: Data on Police Organisations (DoPO), Bureau of Police Research & Development (BPR&D).
Relevance
GS-2 | Governance, Policing & Rights
Surveillance, privacy, proportionality doctrine
Cyber-policing & law-and-order institutional reforms
Articles 19 & 21 — speech, dignity, due-process concerns
GS-3 | Internal Security & Cybersecurity
Tech-centric policing, misinformation & hate-speech monitoring
Cyber-crime ecosystem, digital intelligence, drones & analytics
The Basics — What Are Social-Media Monitoring Cells?
Specialised police units that:
track Facebook, X, WhatsApp, Instagram, Telegram, Snapchat etc.
flag hate speech, fake news, mobilisation calls, financial scams
identify law-and-order triggers & cyber-crime signals
Evolved from cyber-crime police stations → now distinct units since 2021 in DoPO reporting.
State-wise Expansion — Key Facts & Numbers
States with highest number of monitoring cells (2024):
Bihar — 52
Maharashtra — 50
Punjab — 48
West Bengal — 38
Assam — 37
Significant growth cases
Manipur: 3 (2020) → 16 (2024)
(growth despite ~140-day Internet suspension during 2023 ethnic violence)
Assam: 1 (2022) → 37 (2024)
West Bengal: 2 (2022) → 38 (2024)
Punjab: 24 (2022) → 48 (2024) (doubled)
Parallel Trend — Rise in Cybercrime Policing
Cyber-crime police stations
2020: 376
2024: 624
Indicates shift from traditional policing → techno-forensics & platform-driven crime monitoring.
Related Policing Infrastructure — Data Highlights
Drones with State/UT police: 1,147 (up from 1,010 in 2023)
Vacancies:5,92,839 posts vacant
Against sanctioned strength 27,55,274
Social composition of actual strength
SC: 3,30,621
ST: 2,31,928
OBC: 6,37,774
Insight: Expansion of digital surveillance capacity is occurring alongside large manpower shortages.
Why Are Police Expanding Social-Media Monitoring?
Evolving crime trends
cyber-fraud, extortion, phishing networks
hate-speech mobilisation & rumour-spread
radicalisation & organised protest coordination
Real-time early-warning systems
riot-prevention
misinformation control during elections / crises
Evidence collection
digital footprints for prosecution
Governance & Civil-Liberty Concerns
Risk of over-surveillance
chilling effect on dissent & free speech
Weak legal oversight
unclear statutory standards on monitoring protocols
Privacy risks
bulk-monitoring vs targeted intelligence
Capacity vs accountability gap
rapid expansion without transparency norms
Balancing challenge: Security imperatives ↔ constitutional freedoms (Articles 19 & 21).
Strategic Implications
Positive
improves situational intelligence
supports cyber-crime detection
aids disaster / protest / riot monitoring
Concerns
potential misuse for political surveillance
uneven capability across States
human-resource deficit despite tech growth
Takeaways
India’s police forces are rapidly institutionalising social-media monitoring, rising from 262→365 cells (2020–2024) alongside cyber-crime station expansion (376→624).
Trend signals tech-centric policing, but raises issues of privacy, proportionality, and oversight amid large police vacancies.
Mexico’s Popocatépetl volcano — first 3D interior imaging
Why is it in News?
Scientists in Mexico have produced the first high-resolution 3D interior map of Popocatépetl volcano — one of the most active and dangerous volcanoes in the world.
The project helps identify where magma accumulates, improving eruption prediction, hazard modelling, and evacuation planning.
Significance is high because:
~25 million people reside within 100 km of the volcano
Critical infrastructure nearby includes houses, schools, hospitals, and five airports
Earlier interior images (≈15 years ago) were low-resolution and contradictory.
Relevance
GS-1 | Geography / Geomorphology
Volcano types, stratovolcano behaviour
Magma chambers, tectonic-volcanic linkages
GS-3 | Disaster Management
Hazard mapping, early-warning systems
Risk-informed evacuation & urban-hazard planning
The Basics — Understanding Popocatépetl
Location: Trans-Mexican Volcanic Belt
Elevation: 5,452 m
Age: current structure emerged >20,000 years ago
Continuous activity since 1994 — ash, gas, smoke emissions almost daily
Last major dome-collapse eruption: 2023
Known for:
frequent ash plumes
lava domes that build and collapse
pyroclastic activity risk
Popocatépetl is considered a high-risk stratovolcano due to population exposure + persistent activity.
What Did the Scientists Achieve?
Created the first 3-dimensional cross-sectional image of the volcano’s interior
Imaging depth: ≈18 km below the crater
The model reveals:
multiple magma pools at different depths
separated by rock layers / solidified material
greater concentration towards the southeast of the crater
Demonstrates that magma storage is not a single chamber
→ instead a complex multi-reservoir system
Implication: Eruptions may not behave uniformly — risk patterns vary spatially.
How Was the 3D Image Created?
Seismic Imaging + AI Processing
Inside an active volcano, magma, gases, rocks & aquifers move constantly
Motion generates seismic vibrations
Researchers installed seismographs that:
record ground motion ≈100 times per second
Massive datasets processed using AI-based inference models
infer material type, temperature, depth, and density contrasts
Field Challenges
Work carried out on the volcano slopes for 5 years
Risks included:
eruptions & explosions
harsh weather
damaged instruments (rats, shocks, battery failures)
Some data sets were lost / corrupted, increasing mission difficulty
Why This Matters — Disaster Risk & Public Safety
The new model helps:
identify magma pathways & accumulation zones
assess likelihood of dome formation / collapse
improve eruption forecasting windows
inform evacuation strategy & exclusion-zone planning
Repeating the study periodically will allow:
change-detection over time
tracking magma movement before eruptions
The volcano becomes a “natural laboratory” for predictive volcanology.
Facts & Data — Key Points to Remember
Elevation: 5,452 m
3D imaging depth: 18 km
Population at risk (within 100 km): ≈ 25 million
Active since: 1994
Recent eruption event: 2023
Hazards: ash plumes, dome collapse, pyroclastic activity
Purpose of imaging: magma mapping & eruption-risk assessment
Takeaways
Popocatépetl’s first 3D subsurface map (to 18 km) reveals multiple magma reservoirs, improving eruption prediction & disaster preparedness for ~25 million people living nearby — a major advancement in volcano monitoring using AI-enabled seismic imaging.
Places in News
Relevance
GS-1 | Geography (Location-based)
Neighbouring countries, coastlines, strategic geography
Caribbean, North America, Arctic region mapping
GS-2 | International Relations / Global Politics
U.S.–Latin America relations
Drugs, migration, security geopolitics
Arctic competition & strategic resources
Colombia — Why in News?
Trump threatened action over failure to curb drug trafficking; Colombia remains a major global cocaine producer. Bilateral strain under President Gustavo Petro.
Neighbouring Countries
Panama (NW)
Venezuela (E)
Brazil (SE)
Peru (S)
Ecuador (SW)
Geographic Notes
Lies in North-western South America
Only South American country with coastlines on both Pacific Ocean & Caribbean Sea
Andes Mountains run across the country
Major river basins: Amazon & Orinoco
Data Angle
Accounts for ~⅔ of global cocaine output
Mexico — Why in News?
Trump warned of action over fentanyl-trafficking networks impacting the U.S.; debates around
Neighbouring Countries
United States (N)
Guatemala (SE)
Belize (SE)
Geographic Notes
Located in North America
Coastlines on Pacific Ocean & Gulf of Mexico / Caribbean Sea
Dominated by Mexican Plateau, Sierra Madre ranges, and Yucatán Peninsula
Part of the Ring of Fire → earthquake & volcano-prone
Policy Context
Fentanyl crisis driving security-centric U.S.–Mexico relations
Cuba — Why in News?
Accused by Trump of supporting terrorism & drug-trafficking networks; renewed geopolitical friction amid economic crisis & migration flows.
Neighbouring Countries (Maritime Proximity)
United States (Florida) — North
Mexico — West
Bahamas — NE
Haiti (Hispaniola) — East
Jamaica — South
Geographic Notes
Largest island in the Caribbean
Located between Gulf of Mexico & Atlantic Ocean
Part of the Greater Antilles archipelago
Strategic Layer
Symbolically key in U.S. hemispheric policy & Cold War legacy politics
Greenland (Denmark) — Why in News?
Trump reiterated interest in annexing Greenland, citing strategic defence priorities.
Neighbouring / Nearby Regions
Canada — West (across Baffin Bay)
Iceland — SE (across Denmark Strait)
Arctic Ocean — North
North Atlantic Ocean — South & East
Geographic Notes
World’s largest island; autonomous territory under Kingdom of Denmark
Mostly covered by the Greenland Ice Sheet
Hosts Pituffik (Thule) Space / Air Base
Critical to Arctic sea-lanes, missile-defence, and rare-earth resources
Strategic Context
Rising U.S.–China–Russia competition in the Arctic