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Subject: Geography

  • Persian Gulf to be renamed as ‘Arabian Gulf’

    Why in the News?

    Donald Trump plans to announce that the US will officially refer to the Persian Gulf as the “Arabian Gulf” or “Gulf of Arabia”, aligning with the preferences of Arab nations.

    Persian Gulf to be renamed as 'Arabian Gulf'

    About Persian Gulf

    • The Persian Gulf is a marginal sea of the Indian Ocean, located in Western Asia.
    • It is connected to the Arabian Sea through the Strait of Hormuz, a critical maritime chokepoint for global oil shipments.
    • The gulf spans an area of approximately 251,000 km².
    • Its average depth is around 50 meters, with a maximum depth of about 90 meters.
    • The total coastline is roughly 5,117 km, with Iran possessing the longest share (~1,536 km).
    • The gulf is bordered by:
      • North: Iran
      • Southwest: Saudi Arabia, Qatar, UAE
      • Northwest: Iraq, Kuwait, Bahrain
    • Key islands:
      • Qeshm Island (Iran) — the largest island in the Persian Gulf (~1,491 km²), nearly 2.5 times the size of Bahrain.
      • Bahrain — a sovereign archipelago state with over 50 islands, and home to a major US naval base.
    • It is recognized officially by the International Hydrographic Organisation (IHO) as the “Persian Gulf”.
    [UPSC 2024] Consider the following statements:

    Statement-I: Sumed pipeline is a strategic route for Persian Gulf oil and natural gas shipments to Europe.

    Statement-II: Sumed pipeline connects the Red Sea with the Mediterranean Sea.

    Which one of the following is correct in respect of the above statements?

    Options: (a) Both Statement-I and Statement-II are correct and Statement-II explains Statement-I* (b) Both Statement-I and Statement-II are correct, but Statement-II does not explain Statement-I (c) Statement-I is correct, but Statement-II is incorrect (d) Statement-I is incorrect, but Statement-II is correct

     

  • Palaeofires from Permian and Late Silurian in the Godavari Basin

    Why in the News?

    Recent research has uncovered evidence of ancient wildfires (palaeofires) in the Godavari Basin, shedding light on Earth’s geological and climatic history from over 250 million years ago.

    What are Palaeofires?

    • Palaeofires refer to ancient wildfires that occurred in the Earth’s past, influencing the vegetation, climate, and even the formation of coal.
    • These fires, spanning from the Late Silurian (419.2 to 443.8 million years ago) to the Quaternary (2.58 million years ago), left their mark across various landscapes.

    Ancient Palaeofires in the Godavari Basin:

    • Palaeofires, traced back to the Permian period, provide evidence of how fires influenced prehistoric landscapes.
    • Advanced techniques like Raman Spectroscopy and FTIR Spectroscopy were used to differentiate between in situ (on-site) and ex situ (transported) charcoal.
    • The research also highlighted how sea level changes impacted charcoal deposition, with well-preserved fire signatures during regressive phases and more oxidized charcoal during transgressive phases.
    • These findings contribute to understanding carbon storage in the Earth’s crust and provide insights into past climate dynamics and fire behavior.

    Role of Palaeofires in Earth’s Past:

    • Palaeofires were crucial in shaping Earth’s climate, vegetation, and contributing to coal formation across various geological periods.
    • During the Permian period, palaeofires were widespread in Gondwana, affecting plant life and coal deposits.
    • Fossil charcoal found in coal-bearing formations like the Raniganj Coalfield suggested a connection between seasonal droughts and wildfires.
    • These wildfires influenced vegetation patterns and led to the accumulation of carbon-rich deposits.
    • High atmospheric oxygen levels likely intensified these wildfires, significantly affecting both climate and ecosystem changes.
    • Understanding palaeofires helps in grasping long-term carbon sequestration processes.
    [UPSC 2001] The approximate age of the Aravalli range is:

    Options: (a) 370 million years (b) 470 million years (c) 570 million years* (d) 670 million years

     

  • Changing patterns of Western Disturbances

    Why in the News?

    Heavy rainfall and strong winds disrupted life in Delhi due to a fresh splash of Western Disturbances over North India.

    Changing patterns of Western Disturbances

    What are Western Disturbances?

    • Western Disturbances are extra-tropical weather systems that originate near the Mediterranean region.
    • They carry moisture from the Mediterranean Sea, Black Sea, Caspian Sea, and Arabian Sea.
    • These disturbances are embedded within the subtropical westerly jet stream, a fast-moving air current in the upper atmosphere.
    • They bring rain, snow, and fog, especially from December to March, as they encounter the Himalayas, causing rainfall in the plains and snowfall at higher altitudes.
    • They are responsible for most of the winter and pre-monsoon rainfall in Northwest India and are critical for rabi crops like wheat.

    Recent Changes in its Pattern:

    • Recent observations show an increase in frequency, particularly from late January onwards, with disturbances now occurring outside the winter season.
    • These disturbances have been observed even in May, June, and July, where they were once rare.
    • The geographic spread of these disturbances is widening, affecting larger parts of North and Northwest India.
    • Reasons behind:
      • The strengthening of the subtropical westerly jet stream, likely influenced by rising global temperatures, is a key factor.
      • The delayed retreat of the jet stream is affecting the timing of the summer monsoon, leading to overlapping weather patterns.
      • The warming of the Arabian Sea (by 1.2°C to 1.4°C over recent decades) is increasing moisture, intensifying rainfall.
    [UPSC 2015] Consider the following statements:

    1. The winds which blow between 30° N and 60° S latitudes throughout the year are known as westerlies. 2. The moist air masses that cause winter rains in North-Western region of India are part of westerlies.

    Which of the statements given above is/are correct?

    Options: (a) 1 only (b) 2 only * (c) Both 1 and 2 (d) Neither 1 nor 2

     

  • In news: Haji Pir Pass

    Why in the News?

    The recent Pahalgam terror attack has revived debates on India’s 1966 decision to surrender the Haji Pir Pass to Pakistan during Tashkent Agreement of 1966.

    This move is compared to the Soviet Union’s 1954 transfer of Crimea, which created lasting security challenges.

    About Haji Pir Pass:

    • The Haji Pir Pass is located in the Pir Panjal Range of Jammu and Kashmir, at an altitude of 2,637 meters (8,652 feet).
    • It connects Poonch in India to Rawalakot in Pakistan-occupied Kashmir (PoK).
    • Historically, it was a vital route for connecting Jammu to the Kashmir Valley before 1947, making it an essential part of India’s transportation network.
    • Post-partition, it became part of PoK and, during the 1965 Indo-Pak War, India recaptured it under Operation Bakshi.
    • However, it was returned to Pakistan following the Tashkent Agreement in 1966, a decision criticized by many experts.

    How Haji Pir Pass is a Chokepoint?

    • Strategic Military Route: The pass provides Pakistan with the ability to control and monitor the Kashmir Valley from a high-altitude position, serving as a key route for military logistics and infiltration.
    • Gateway for Infiltration: Historically, it has been used for militant infiltration into India, fuelling insurgency and instability in Kashmir.
    • Shortened Military Access: Retaining the pass would have reduced the distance between Poonch and Uri from 282 km to 56 km, improving India’s military logistics and rapid deployment.
    • Control over Key Terrain: Controlling the pass enables domination of the surrounding hills, limiting Pakistan’s ability to sustain military pressure and infiltration.
    [UPSC 2007] Which one of the following Himalayan passes was reopened around in the middle of the year 2006 to facilitate trade between India and China?

    (a) Chang La (b) Jara La (c) Nathu La* (d) Shipki La

     

  • The history and evolution of monsoon forecasting in India

    Why in the News?

    The India Meteorological Department (IMD) has predicted that the rainfall during the June-September southwest monsoon season will be higher than usual, around 105% of the average rainfall over a long period.

    What are the main factors that influence the Indian monsoon, as mentioned by the IMD?

    • El Niño-Southern Oscillation (ENSO): El Niño, which is characterized by warming sea surface temperatures in the Pacific Ocean, tends to reduce monsoon rainfall over India. Eg, during the 2015 El Niño event, India experienced a weakened monsoon and below-normal rainfall.
    • Indian Ocean Dipole (IOD): The IOD refers to temperature differences between the western and eastern Indian Ocean. A positive IOD (warmer waters in the west) is typically linked to above-average rainfall in India, while a negative IOD can lead to drought conditions. Eg,2019 saw a positive IOD, which helped counterbalance the El Niño and brought more rainfall.
    • Himalayan Snow Cover: As observed by Blanford, the amount of snow accumulation in the Himalayas influences the monsoon. A thicker snow cover in the winter months often leads to increased rainfall during the subsequent monsoon. Eg, years with heavy snowfall in the Himalayas tend to see better monsoon rainfall in regions like Northwest India.

    How did Blanford contribute to the development of monsoon forecasting in India?

    • Identified the Snow-Monsoon Relationship: Blanford discovered an inverse relationship between the amount of snow accumulated in the Himalayas during winter and the subsequent monsoon rainfall over India. He hypothesized that greater snow accumulation led to a stronger monsoon. This was the basis for early monsoon predictions. Eg: Between 1882-1885, Blanford used Himalayan snow cover data to predict the intensity of the monsoon, marking a key step in systematic weather forecasting.
    • First Long-Range Forecast (1886): Blanford made India’s first long-range monsoon forecast in 1886, predicting the seasonal rainfall across India and Burma based on his snow-rain hypothesis. This was a pioneering effort in utilizing long-term data for weather predictions. Eg: Blanford’s 1886 forecast was the first to consider annual snowfall patterns in the Himalayas to predict the monsoon’s arrival and intensity across the entire Indian subcontinent.
    • Foundation for Modern Meteorology: Blanford’s work laid the foundation for further development in meteorology and forecasting. His research on snow cover influenced future meteorologists, including Sir John Eliot and Sir Gilbert Walker, who refined and expanded his methods using new data sources and statistical models. Eg: Blanford’s ideas directly influenced later meteorologists, helping to evolve more comprehensive models, including those considering global atmospheric factors.

    Why were IMD’s forecasts inaccurate between 1932 and 1987?

    • Outdated Predictors: The parameters identified by Sir Gilbert Walker, such as the Southern Oscillation and other atmospheric factors, had lost their significance over time, meaning their relationship with the monsoon was no longer consistent. This led to inaccurate forecasts. Eg: For instance, in the period 1932-1987, the forecast errors were significant, with average errors of 12.33 cm for the peninsula and 9.9 cm for Northwest India, indicating the failure of the existing model.
    • Failure to Adapt to New Data: Despite attempts to tweak Walker’s model, the IMD did not fully integrate new meteorological data and evolving atmospheric conditions, leading to persistent inaccuracies in monsoon prediction. Eg: The model failed to predict the 1987 drought, highlighting the inadequacy of the forecasting system during this period and the inability to account for changing atmospheric patterns.

    How has the IMD’s forecasting system improved since 2007?

    • Introduction of Statistical Ensemble Forecasting System (SEFS): In 2007, the IMD introduced the SEFS, which combined multiple models to generate a more robust prediction. This reduced the error margin and improved the accuracy of forecasts by considering different possible outcomes. Eg: The SEFS helped reduce the average absolute error in forecasts between 2007 and 2018 to 5.95% of the long-period average (LPA), compared to a higher 7.94% error in the earlier period (1995-2006).
    • Launch of the Monsoon Mission Coupled Forecasting System (MMCFS): In 2012, the IMD launched the MMCFS, which integrated ocean, atmosphere, and land data for more accurate predictions. This coupled dynamic model enabled better predictions by accounting for the interactions between various climate factors. Eg: The MMCFS contributed to more accurate monsoon forecasts in the years following its introduction, helping the IMD predict monsoon patterns with greater precision.

    What impact did the Monsoon Mission Coupled Forecasting System (MMCFS) have on IMD’s accuracy?

    • Improved Forecast Accuracy by Integrating Multiple Data Sources: The MMCFS combined data from the ocean, atmosphere, and land, allowing for a more holistic and accurate monsoon forecast. This helped the IMD provide more reliable predictions by considering the dynamic interactions between various climate components. Eg: After the introduction of MMCFS in 2012, the IMD was able to produce more precise monsoon predictions, particularly in terms of seasonal rainfall.
    • Enhanced Long-Term Predictive Capabilities: The coupled model allowed the IMD to improve long-term monsoon predictions by simulating real-world climate interactions more accurately, reducing errors in forecasting and enhancing the reliability of predictions over longer time spans. Eg: The model helped improve predictions such as the 2014 monsoon season, where the forecast matched the actual rainfall more closely than earlier years, highlighting its effectiveness in reducing forecast errors.

    Way forward: 

    • Integration of Artificial Intelligence and Machine Learning: Leveraging AI and ML can further refine IMD’s forecasting models by analyzing vast datasets more efficiently and identifying hidden patterns in climate behavior, improving the accuracy of short- and long-term monsoon predictions.
    • Collaboration with Global Climate Agencies: Strengthening partnerships with international climate research institutions can enhance data sharing and provide more comprehensive insights into global climate drivers affecting the Indian monsoon.

    Mains PYQ:

    [UPSC 2015] How far do you agree that the behavior of the Indian monsoon has been changing due to humanizing landscapes? Discuss.

    Linkage: Forecasting is essential for understanding the behavior of the Indian monsoon. This article explores the evolution of monsoon forecasting in India, particularly by the India Meteorological Department (IMD).

  • Places in News: Sea of Marmara

    Why in the News?

    A powerful earthquake with a magnitude of 6.2 struck Istanbul and surrounding areas with its epicenter located beneath the Sea of Marmara.

    About the Sea of Marmara

    • The Sea of Marmara is a small but significant inland sea in Turkey, acting as a transition zone between the Black Sea and the Aegean Sea.
    • It holds geographical, ecological, and cultural importance, separating Asia and Europe within Turkey.
    • It spans 11,350 km², it is 280 km long and 80 km wide.
    • It is connected to the Black Sea in the northeast via the Bosphorus Strait and to the Aegean Sea in the southwest via the Dardanelles Strait.
    • It receives cold, fresh water from the Black Sea and warmer, saltier water from the Mediterranean, creating a unique fresh-to-salty water transition.
    • The region experiences a humid subtropical climate with hot summers and cold, wet winters, influencing the marine ecosystem.
    • The North Anatolian Fault runs beneath the sea, causing significant earthquake risks, including the recent 6.2 magnitude earthquake near Istanbul.
    • It is home to several islands, including Marmara Island (the largest) and Prince Islands.
    • The city of Istanbul lies along its coastline.
    [UPSC 2014] Turkey is located between:

    Options: (a) Black Sea and Caspian Sea (b) Black Sea and Mediterranean Sea (c) Gulf of Suez and Mediterranean Sea (d) Gulf of Aqaba and Dead Sea

     

  • Akshvi Platform for Disaster Damage Reporting

    Why in the News?

    India has introduced Akshvi, a unique e-digital wallet aimed at assisting in disaster relief and improving the accuracy of loss reporting.

    About Akshvi: The E-Digital Wallet for Disasters

    • Akshvi (Aapda Kshati Vivaran) is a unique e-digital wallet developed by SEEDS India to assist disaster-stricken communities in India.
    • The platform allows people to self-report economic and non-economic losses during climate-induced events.
    • It bridges the data gap in disaster reporting and enhancing relief distribution and climate resilience.

    Key Features of Akshvi:

    • Self-Reporting Mechanism: It enables affected communities to log their losses during disasters such as floods, droughts, heatwaves, and landslides, ensuring accurate and timely assessments.
    • Localized Data Collection: The platform collects hyperlocal data, which is vital for tailoring disaster management strategies and relief efforts to the specific needs of affected communities.
    • User-Friendly Interface:
      • IVRS: Allows voice recording of losses.
      • WhatsApp Chatbot: For tech-savvy users to log data.
      • Assisted Data Entry: Available for those needing help with information entry.
    • Traceability: The platform tracks the progress of relief, ensuring that aid reaches the affected households transparently.
    • Integration with Government Schemes: Akshvi’s data links to social welfare schemes and index-based insurance programs, improving disaster response efforts.
    [UPSC 2004] In which one of the following countries did hundreds of people die in 2004 due to Tropical Storm Jeanne?

    Options: (a) Colombia  (b) Haiti (c) Sudan (d) Ghana

     

  • [21st April 2025] The Hindu Op-ed: Tackle heatwaves with short- and long-term measures

    PYQ Relevance:

    [UPSC 2024] What is disaster resilience? How is it determined? Describe various elements of a resilience framework. Also mention the global targets of the Sendai Framework for Disaster Risk Reduction (2015- 2030).

    Linkage: Heatwaves are increasingly recognized as severe weather events and fall under the purview of disaster management. This question directly asks about disaster resilience and its framework, which is crucial for tackling heatwaves. Building resilience to heatwaves involves both short-term preparedness (early warning systems, public awareness) and long-term adaptation (infrastructure changes, social safety nets) as highlighted in the article. The Sendai Framework’s targets are also relevant for setting goals in reducing heatwave-related mortality and morbidity.

     

    Mentor’s Comment:  According to the World Meteorological Organization, 2024 was the hottest year ever recorded, with global temperatures about 1.55°C higher than in pre-industrial times. In India, December 2022 was the hottest December since temperature records began in 1901. Overall, India has seen more heatwaves in the last 20 years compared to the 20 years before that.

    Today’s editorial talks about the current heatwave situation and its effects. This topic is useful for GS Paper 3 in the UPSC Mains exam.

    _

    Let’s learn!

    Why in the News?

    On March 15, some states and cities in India faced their first severe heatwave of 2025 — about 20 days earlier than the first severe heatwave in 2024.

    What are the key health and socio-economic effects of heatwaves in India?

    • Health Impacts (Heat Stress): Heatwaves in India lead to heat stress, which occurs when the outside temperature approaches the body’s normal temperature of 37°C. This hampers the body’s ability to release internal heat, leading to a range of health problems including kidney failure, liver damage, and brain-related issues, sometimes resulting in death. Eg, the 2015 heatwave in Andhra Pradesh and Telangana caused over 2,000 deaths due to extreme temperatures.
    • Impact on Agriculture and Livestock: Heatwaves negatively affect the farming sector, reducing crop yields and livestock production due to heat stress. Eg, the 2020 heatwaves led to significant crop damage, particularly in areas like Punjab and Haryana, where farmers saw a drop in wheat and paddy production, impacting food security.
    • Socio-Economic Consequences: Heatwaves result in loss of productivity, particularly in labor-intensive sectors like agriculture, construction, and outdoor work. This causes economic losses as workers lose work hours, and agricultural outputs decline. Eg, in 2023, heat stress led to an estimated loss of 6% of work hours in India, contributing to reduced personal incomes and affecting national GDP.

    Why is heat stress an equity issue for vulnerable groups?

    • Disproportionate Impact on the Poor: Vulnerable groups such as the poor face the worst effects of heat stress due to limited access to resources like cooling systems, healthcare, and safe working conditions. Eg, in urban slums with poor infrastructure, people are exposed to higher temperatures both indoors and outdoors, leading to greater health risks compared to wealthier populations with air-conditioned homes.
    • Gendered Impact: Women, especially in rural and lower-income areas, are more affected by heat stress due to cultural norms that restrict their mobility and tasks, such as working in kitchens or wearing heavy clothing. Eg, women in rural India may have to work in the kitchen during peak heat hours, further increasing their risk of heat-related illnesses.
    • Impact on Migrant Workers and Informal Sector Employees: Migrants and workers in the informal sector often lack access to benefits such as paid leave, healthcare, or workplace protections, making them more vulnerable to heat stress. Eg, construction workers in cities like Delhi and Mumbai suffer from heat-related illnesses as they work outdoors without proper protection, and they cannot afford to miss work, leading to further health deterioration.

    When did India begin implementing Heat Action Plans (HAPs), and how have they evolved over the years?

    • Initial Implementation in 2013: India began implementing Heat Action Plans (HAPs) in 2013 when Ahmedabad, Gujarat, became the first city in Asia to develop a municipal Heat Action Plan. The plan focused on early heatwave predictions, public awareness, and health system preparedness. Eg, Ahmedabad’s HAP helped reduce heat-related mortality by alerting vulnerable communities and healthcare systems ahead of heatwaves.
    • Expansion to Other Cities (2014-2018): After the success in Ahmedabad, other cities and states began developing their own heat action plans. By 2018, over 20 Indian cities and states had implemented their HAPs, adapting them based on local vulnerabilities. Eg, cities like Chennai and Hyderabad incorporated heat action strategies, including cooling shelters and awareness campaigns.
    • National Coordination (2018): In 2018, the National Programme on Climate Change and Human Health (NPCCHH) was introduced to provide a unified approach, coordinating heat advisories and other health-related information across the country. Eg, the National Disaster Management Authority (NDMA) began issuing nationwide heatwave alerts to help states and cities prepare for extreme heat events.
    • Focus on Long-Term Measures (2020-Present): Recent iterations of HAPs have emphasized long-term preventive measures, such as urban greening, reflective rooftops, and improved building materials to reduce heat retention. Eg, several cities, like Delhi, are promoting cool roof policies, encouraging the use of heat-reflective materials on buildings to reduce urban heat islands.

    How can India improve the effectiveness and implementation of Heat Action Plans at the state and city levels?

    • Tailor Plans Based on Local Vulnerability: India can improve HAP effectiveness by ensuring that each state and city develops plans based on specific local vulnerabilities such as geography, socio-economic factors, and infrastructure. Eg, coastal cities like Mumbai may need strategies focusing on humidity and high temperatures, while inland cities like Jaipur might need to focus more on extreme heat and dry conditions.
    • Incorporate Real-Time Data and Predictive Technology: HAPs can be enhanced by using real-time data on temperature, humidity, and wind speed to improve forecasting accuracy and timely alerts. Eg, the use of satellite data and ground-based sensors in cities like Pune has allowed for more accurate predictions of heat stress, enabling better preparedness and quicker responses during heatwaves.
    • Strengthen Collaboration Between Stakeholders: Successful implementation of HAPs requires coordination between government bodies, local authorities, public health institutions, NGOs, and community organizations. Eg, in Ahmedabad, the city’s HAP involved collaborations between municipal authorities, public health officials, and non-governmental organizations, which significantly contributed to the reduction in heat-related deaths.
    • Focus on Long-Term Urban Planning and Infrastructure: HAPs should integrate long-term urban development strategies that mitigate heat in the built environment, such as increasing green spaces, promoting cool roofs, and using reflective materials for buildings. Eg, Chennai’s initiative to plant more trees and create shaded public spaces has helped reduce heat in urban areas, making the city more resilient to heatwaves.
    • Ensure Inclusivity and Equity in Response Measures: HAPs should ensure that vulnerable populations such as informal sector workers, elderly, and marginalized communities are given special attention during heatwaves. Eg, Delhi’s HAP has included mobile cooling units and shelters for the homeless, along with providing water points and health services in areas with high concentrations of migrant workers and low-income groups.

    What is the current situation regarding the occurrence of heat waves in India?

    • Increased Frequency of Heatwave Days: The number of heatwave days in India has risen over the past decade. In 2022, approximately 121 heatwave days were recorded across the country, a decrease from the previous year but still indicative of a growing trend.
    • Record-Breaking Temperatures: In May 2024, northern India experienced severe heatwaves, with temperatures reaching up to 49.1°C in New Delhi. Over 37 cities reported temperatures exceeding 45°C, leading to at least 56 confirmed deaths and 25,000 suspected cases of heatstroke.
    • Projections of Future Heatwave Intensification: Future projections indicate a significant increase in heatwave frequency due to climate change. Under the RCP 4.5 scenario, the frequency of heatwaves in India is expected to increase by a factor of 4 to 7 in the mid-term and by 5 to 10 times in the long-term future.

    Way forward: 

    • Strengthen Policy Integration and Local Capacities: Integrate Heat Action Plans into urban planning and disaster management policies, while building capacity at local levels for climate-resilient infrastructure and real-time response systems.
    • Targeted Support for Vulnerable Groups: Prioritize inclusive measures such as community cooling centers, mobile health units, and social safety nets to protect informal workers, elderly, and low-income populations from heat-related risks.
  • Davis Strait Proto-Microcontinent

    Why in the News?

    A hidden landmass, called the Davis Strait proto-microcontinent, has been discovered beneath the icy waters between Canada’s Baffin Island and Greenland.

    About the Davis Strait Proto-Microcontinent:

    • The Davis Strait Proto-Microcontinent is a hypothesised landmass located in the Davis Strait, believed to have existed during the Paleozoic era.
    • It is composed of 19–24 km thick thinned continental crust, surrounded by two narrow bands of 15–17 km thick continental crust.
    • It is thought to have broken apart due to tectonic movements.
    • Geological evidence, including similarities in rock formations and tectonic features found in Greenland and parts of the Canadian Arctic, supports the idea of this ancient landmass.
    • While its exact nature and extent remain debated, the proto-microcontinent is crucial for understanding the tectonic processes that shaped the Atlantic Ocean and surrounding regions.

    About Davis Strait:

    • The Davis Strait is a large body of water located between southeastern Baffin Island (Canada) and southwestern Greenland, serving as part of the Northwest Passage.
    • It separates the Baffin Bay (to the north) from the Labrador Sea (to the south), and it connects the Atlantic Ocean and Arctic Ocean through the Canadian Arctic Archipelago.
    • It is an important maritime route for shipping and trade.
    • Named after John Davis, the English explorer who navigated the area in the late 16th century, the Davis Strait plays a significant role in the tectonic evolution of the Arctic region.
    [UPSC 2013] Consider the following:

    (1). Electromagnetic radiation (2). Geothermal energy (3). Gravitational force (4). Plate movements (5). Rotation of the earth (6). Revolution of the earth

    Which of the above are responsible for bringing dynamic changes on the surface of the earth?

    Options: (a) 1 only (b) 2 and 3 only (c) 1, 2 and 3 (d) None*

     

  • Delamination of the Indian Plate

    Why in the News?

    Recent studies reveal that the Indian Plate is splitting into two, with the lower part detaching and sinking into the Earth’s mantle, a process called delamination, as published by the American Geophysical Union.

    About Delamination:

    • Delamination in tectonic plates refers to the process where the lower part of a continental plate, including the lower crust and/or lithospheric mantle, splits and sinks into the Asthenosphere.
    • This process is driven by density differences and can lead to rapid uplift, changes in stress regimes, and altered magmatism.
    • It can occur in various tectonic settings, including compressional zones, subduction zones, and intraplate regions. 
    • The denser lower part of the plate, including the lower crust and/or lithospheric mantle, is less buoyant than the less dense asthenosphere, leading to sinking.
    • High temperatures can also weaken the lithosphere and facilitate delamination.

    Delamination of the Indian Plate

    Indian Plate and Its Splitting:

    • The Indian Plate has been colliding with the Eurasian Plate for about 60 million years, causing the formation of the Himalayas and influencing regional seismic activity.
    • It is shifting northward at a rate of approximately 5 cm per year..
    • The lower, denser part of the Indian Plate is detaching and sinking into the Earth’s mantle.
    • This may lead to increased seismic activity due to shifts in tectonic stress.
    • In regions like the Himalayan collision zone, delamination results in fractures that increase stress in the Earth’s crust, raising the likelihood of seismic events.
    [UPSC 2004] Consider the following geological phenomena:

    1. Development of a fault 2. Movement along a fault 3. Impact produced by a volcanic eruption 4. Folding of rocks Which of the above cause earthquakes?

    Options:

    (a) 1, 2 and 3 (b) 2 and 4 (c) 1, 3 and 4 (d) 1, 2, 3 and 4