Current Affairs 06 January 2026
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