logo
Environment impact study for Great Nicobar project downplays earthquake risk

Environment impact study for Great Nicobar project downplays earthquake risk

The Hindu2 days ago
The Environment Impact Assessment (EIA) study carried out for the ₹72,000-crore Great Nicobar Infrastructure Project (GNIP) downplays the risk of future earthquakes that could trigger tsunamis on the scale that was seen in 2004, despite several scientists suggesting that few on-ground scientific assessments have been done in the region.
According to the nearly 900-page-long EIA report commissioned by the Andaman and Nicobar Islands Integrated Development Corporation and executed by a private consultant, Vimta Labs, the probability of a mega earthquake, such as the earthquake of 9.2 magnitude that led to the 2004 tragedy, was 'low'.
The EIA study, while acknowledging the region's proximity and susceptibility to massive earthquakes, primarily draws on a 2019 study by scientists of the Indian Institute of Technology-Kanpur stating that the 'return period', a term for the likelihood of a similar-sized earthquake reoccurring, is 420–750 years for mega-earthquakes (magnitude of 9 or more). The return period is a shorter 80-120 years for large-magnitude earthquakes (>7.5).
EXPLAINED | The prospect of energy exploration at Andaman
The IIT-Kanpur report had analysed sediments from the Badabalu beach in South Andaman and revealed evidence of at least seven large tsunami events in the last 8,000 years in the region. The report states: 'Andaman Segment has enough accumulated strain to trigger a mega tsunamigenic subduction zone earthquake in near future and that there was a 2,000-year gap in the region's sediment history added uncertainty to the prediction of future earthquakes.' This bit doesn't appear in the EIA study.
Speaking to The Hindu, Professor Javed Malik, the scientist who led the IIT-Kanpur study, said while their study did trace the history of major tsunamis, planners of any major infrastructure project in the Nicobar Islands should ideally conduct a 'site-specific study'. This was because an earthquake, such as the one in 2004 that was centred in Indonesia's Banda Aceh, could play out differently if the origin point was the Nicobar Islands. The Andaman-Sumatra fault line was known to be vulnerable to massive earthquakes and there was still insufficient knowledge regarding what stretches along this line were likely to rupture.
He said in 2020, in a meeting with government officials, he had pointed out that studies similar to those conducted in Andaman ought to be done in Car Nicobar and Campbell areas of Nicobar, but he was still waiting to hear on it. 'Not only can we get insight into historical earthquakes but we can estimate inundation patterns and this can help plan infrastructure projects,' he added.
Also Read | Great Nicobar project: Shipping Ministry proposes cruise terminal, high-end tourism infra
Other scientists suggest that there are multiple sources of tsunamigenic-earthquakes that are unknown.
C.P. Rajendran, geo-scientist and professor at the National Institute of Advanced Studies, Bengaluru, said that his own studies over the years and emerging studies have shown that while the Banda Aceh event may have released a certain amount of pent-up energy, there were several other 'parallel rupture lines south of the Andamans [and towards Nicobar] whose pent-up energy and history were unknown'. 'To add to that, earthquake recurrence is a non-linear process. You could have centuries without any mega-quake and then suddenly a massive one. There are local fault lines in the Great Nicobar Island [GNI] as well as changes in land levels prior to a massive earthquake. This is an extremely geo-dynamic area and major infrastructure projects here are particularly vulnerable,' he told The Hindu. 'It is better to avoid such an area for a port or a container terminal.'
A senior scientist in the Ministry of Earth Sciences acknowledged that while no specific site studies in the Nicobar Islands were commissioned for the project, it would be impossible to forecast when a massive earthquake was likely and a 'calculated risk' had to be taken in executing the project. 'Depending on the nature of buildings and infrastructure, design codes will be incorporated but we can never say when the next major quake or tsunami will occur. There is much that is unknown,' the scientist said.
Also Read | Tribals in Great Nicobar not against development but lack info about mega project: NCST member
The GNIP envisages a trans-shipment port, an international airport, township development, and a 450 Megavolt-Amperes (MVA) gas and solar-based power plant in the GNI. Though accorded an environment and preliminary forest clearance by the Centre, concerns about the potential loss of biodiversity, tree-felling, and impact on resident tribes prompted the National Green Tribunal to order a review of the environmental aspects of the project.
The islands were among the worst affected regions during the 2004 Indian Ocean tsunami-earthquake that claimed at least 1,500 lives. Atleast 10,000 Indians perished in the tsunami.
The region, which comes under the highest seismological category of five, is prone to earthquakes as it has the Indian plate diving beneath the Burmese Microplate along the Andaman Trench in a process known as 'Subduction.'
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

IIT Delhi announces 6-month online executive programme focused on AI in Healthcare: Check details here
IIT Delhi announces 6-month online executive programme focused on AI in Healthcare: Check details here

Time of India

time11 hours ago

  • Time of India

IIT Delhi announces 6-month online executive programme focused on AI in Healthcare: Check details here

The Indian Institute of Technology (IIT) Delhi, in partnership with TeamLease EdTech, has introduced a comprehensive online executive programme in Artificial Intelligence (AI) in Healthcare, specially designed for working professionals across diverse domains. Scheduled to begin on November 1, 2025, this programme seeks to bridge the gap between healthcare and technology by imparting industry-relevant AI skills to professionals, including doctors, engineers, data scientists, and med-tech entrepreneurs. Applications for the programme are currently open and will remain so until July 31, 2025. Interested professionals are encouraged to submit their applications through the official IIT Delhi CEP portal. This initiative is a part of IIT Delhi 's eVIDYA platform, developed under the Continuing Education Programme (CEP), and aims to foster applied learning through a blend of theoretical instruction and hands-on experience using real clinical datasets. This course offers a unique opportunity to upskill with one of India's premier institutes and contribute meaningfully to the rapidly evolving field of AI-powered healthcare. Programme overview To help prospective applicants plan better, here is a quick summary of the programme's key details: Category Details Course duration November 1, 2025 – May 2, 2026 Class schedule Online and conducted over weekends Programme fee ₹1,20,000 + 18% GST (Payable in two easy installments) Application deadline July 31, 2025 Learning platform IIT Delhi Continuing Education Programme (CEP) portal Who can benefit from this course? The programme is tailored for a wide spectrum of professionals who are either involved in healthcare or aspire to work at the intersection of health and technology. You are an ideal candidate if you are: • A healthcare practitioner or clinician with limited or no background in coding or artificial intelligence, but curious to explore AI's applications in medicine. • An engineer, data analyst, or academic researcher engaged in health-tech innovations or biomedical computing. • A med-tech entrepreneur or healthcare startup founder looking to incorporate AI-driven solutions into your business or products. Curriculum overview Participants will engage with a carefully curated curriculum that balances core concepts with real-world applications. Key modules include: • Introduction to AI, Machine Learning (ML), and Deep Learning (DL) concepts. • How AI is used to predict disease outcomes and assist in clinical decision-making. • Leveraging AI in population health management and epidemiology. • Application of AI for hospital automation and familiarity with global healthcare data standards like FHIR and DICOM. • Over 10 detailed case studies showcasing successful AI applications in hospitals and clinics. • A hands-on project with expert mentorship from faculty at IIT Delhi and clinicians from AIIMS, enabling learners to apply their knowledge to real clinical challenges. Learning outcomes you can expect By the end of this programme, participants will be equipped with the ability to: • Leverage AI technologies to enhance clinical workflows, automate processes, and support evidence-based decision making in healthcare. • Work effectively with diverse data sources such as Electronic Medical Records (EMRs), radiology images, genomics data, and Internet of Things (IoT)-based health devices. • Develop and deploy functional AI models tailored for practical use in hospitals, diagnostics, and public health infrastructure. • Earn a prestigious certification from IIT Delhi, enhancing your professional credentials in the health-tech domain. Ready to navigate global policies? Secure your overseas future. Get expert guidance now!

IIT Delhi Launches Online Executive Programme On AI In Healthcare
IIT Delhi Launches Online Executive Programme On AI In Healthcare

NDTV

time15 hours ago

  • NDTV

IIT Delhi Launches Online Executive Programme On AI In Healthcare

The Indian Institute of Technology (IIT) Delhi, in partnership with TeamLease Edtech, has announced a new online executive programme focused on the use of Artificial Intelligence (AI) in Healthcare. Aimed at professionals in medicine, technology, and data science, the six-month course is set to begin on November 1, 2025, with applications open until July 31, 2025. This programme is designed to help doctors, engineers, data analysts, and med-tech entrepreneurs learn how AI can be used to improve patient care, public health systems, hospital operations, and diagnostics. Participants do not need prior experience in AI or coding to apply. Classes will be held online on weekends, and the course includes hands-on projects, expert guidance from IIT Delhi faculty, and real-world clinical data. Participants will also work on a capstone project mentored by experts from IIT Delhi and AIIMS. Key Highlights Course Duration: 6 months (November 1, 2025 - May 2, 2026) Mode: Online Fee: Rs 1,20,000 + 18% GST (Payable in two installments) Deadline to Apply: July 31, 2025 Programme Type: eVIDYA Course Modules Include Basics of AI, Machine Learning, and Deep Learning Analysis of Healthcare and Clinical Big Data Predictive Analytics and AI Models AI Automation in Healthcare Public Health & Population Analytics Real-world tools and 10+ case studies Capstone Project & Industry Roundtables Learning Outcomes Learn to apply AI in diagnostics, treatment, and healthcare automation Work with real clinical data like EMRs, imaging, genomics, and IoT sensors Build, evaluate, and deploy AI models using industry standards like FHIR and DICOM Solve real healthcare challenges under expert mentorship Admissions are currently open. For more details and to apply, interested candidates can visit the official IIT Delhi Continuing Education Programme (CEP) portal.

Gender stereotypes limit career prospects of women: IIT-P study
Gender stereotypes limit career prospects of women: IIT-P study

Time of India

timea day ago

  • Time of India

Gender stereotypes limit career prospects of women: IIT-P study

Patna: The age-old gender stereotypes continue to exert a significant influence on the career decisions of women in higher education institutions in Bihar and Jharkhand, as indicated by a recent study carried out at the Indian Institute of Technology Patna (IIT-P). The study conducted by Sweta Sinha and her team at the department of humanities and social sciences at IIT-P clearly indicates how despite the so-called women's empowerment gender stereotyping affects employment by limiting their career choices. Debraj Gogoi, Dheeraj Kumar and Indrajeet Jyoti of IIT Patna are the other members of the study team. The study sponsored by the Indian Council of Social Science Research (ICSSR) and published in the recent edition of a journal "Language in India" reveals that technical professions are typically viewed as masculine and thus preferred by male students, whereas female students are more inclined toward roles like teaching and nursing. The study further indicates that educational premises expose students to their expected social roles, thus profoundly impacting nascent cognitive minds in their formative years. Consequently, professions viewed as real-world are often seen as masculine, making them more favoured by males, while social and artistic roles are traditionally associated with femininity and are thus preferred by females. While growing up, male children are allowed to engage in mechanical, scientific, and technical activities compared to female children. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like 5 Books Warren Buffett Wants You to Read In 2025 Blinkist: Warren Buffett's Reading List Undo Despite the absence of gender-based variations in academic grades, parents are more inclined to perceive science as both less captivating and more challenging for their daughters compared to their sons, the study says. Interestingly, the research findings indicate a nuanced perspective among female respondents, challenging stereotypes in their attitudes toward leadership positions and teaching roles in science and technology. However, male respondents exhibit more stereotypical views, particularly in their skepticism regarding female teachers' suitability for science and technology streams. The study further reveals that gender discrimination is not just encoded in language and linguistic codes but in other modes of expression like colour choices in art forms, shapes and sizes of symbols creating and contextualizing gender stereotypes in social minds. Such stereotypes result in limited opportunities for women in the professional domains, especially in the fields of science, technology, engineering, and mathematics (STEM). Such prevailing stereotypes not only limit professional prospects for women but also condition them into self-doubt owing to the 'normalization' of such a discriminatory mindset as a social reality. Such conditioning results from consistent exposure to subtle social cues and practices that impact their cognition, leading to them not choosing or opting out of STEM fields. The study has investigated the socio-cognitive effects of gender stereotypes in the linguistic landscape of twelve higher education institutions in Bihar and Jharkhand, and its impact on the balance of opportunities for women. The findings of the study underscore the need for ongoing efforts to challenge and dismantle gender stereotypes in educational and professional settings. By understanding and confronting these biases, educators, policymakers, and society at large can contribute to creating a more equitable and diverse environment in institutes of higher education and beyond, the study suggests. Patna: The age-old gender stereotypes still cast a profound impact on career choices for women in the higher education institutions of Bihar and Jharkhand, according to a recent study conducted at the Indian Institute of Technology Patna (IIT-P). The study conducted by Sweta Sinha and her team at the department of humanities and social sciences at IIT-P clearly indicates how despite the so-called women's empowerment gender stereotyping affects employment by limiting their career choices. Debraj Gogoi, Dheeraj Kumar and Indrajeet Jyoti of IIT Patna are the other members of the study team. The study sponsored by the Indian Council of Social Science Research (ICSSR) and published in the recent edition of a journal "Language in India" reveals that technical professions are typically viewed as masculine and thus preferred by male students, whereas female students are more inclined toward roles like teaching and nursing. The study further indicates that educational premises expose students to their expected social roles, thus profoundly impacting nascent cognitive minds in their formative years. Consequently, professions viewed as real-world are often seen as masculine, making them more favoured by males, while social and artistic roles are traditionally associated with femininity and are thus preferred by females. While growing up, male children are allowed to engage in mechanical, scientific, and technical activities compared to female children. Despite the absence of gender-based variations in academic grades, parents are more inclined to perceive science as both less captivating and more challenging for their daughters compared to their sons, the study says. Interestingly, the research findings indicate a nuanced perspective among female respondents, challenging stereotypes in their attitudes toward leadership positions and teaching roles in science and technology. However, male respondents exhibit more stereotypical views, particularly in their skepticism regarding female teachers' suitability for science and technology streams. The study further reveals that gender discrimination is not just encoded in language and linguistic codes but in other modes of expression like colour choices in art forms, shapes and sizes of symbols creating and contextualizing gender stereotypes in social minds. Such stereotypes result in limited opportunities for women in the professional domains, especially in the fields of science, technology, engineering, and mathematics (STEM). Such prevailing stereotypes not only limit professional prospects for women but also condition them into self-doubt owing to the 'normalization' of such a discriminatory mindset as a social reality. Such conditioning results from consistent exposure to subtle social cues and practices that impact their cognition, leading to them not choosing or opting out of STEM fields. The study has investigated the socio-cognitive effects of gender stereotypes in the linguistic landscape of twelve higher education institutions in Bihar and Jharkhand, and its impact on the balance of opportunities for women. The findings of the study underscore the need for ongoing efforts to challenge and dismantle gender stereotypes in educational and professional settings. By understanding and confronting these biases, educators, policymakers, and society at large can contribute to creating a more equitable and diverse environment in institutes of higher education and beyond, the study suggests.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store