Close Menu
    Facebook X (Twitter) Instagram
    SciTechDaily
    • Biology
    • Chemistry
    • Earth
    • Health
    • Physics
    • Science
    • Space
    • Technology
    Facebook X (Twitter) Pinterest YouTube RSS
    SciTechDaily
    Home»Science»Deadly Dam Collapse – That Caused One of Brazil’s Worst Environmental Disasters – Could Have Been Predicted
    Science

    Deadly Dam Collapse – That Caused One of Brazil’s Worst Environmental Disasters – Could Have Been Predicted

    By University of NottinghamJanuary 27, 2021No Comments6 Mins Read
    Facebook Twitter Pinterest Telegram LinkedIn WhatsApp Email Reddit
    Share
    Facebook Twitter LinkedIn Pinterest Telegram Email Reddit
    Brumadinho Dam Collapse Before and After
    Top left and the bottom right are Google Earth satellite images of the Brumadinho tailings dam taken before and after the collapse on 25 January 2019. Top right and bottom left show precursory movement across the dam (red and yellow colors), which the researchers analyzed to find that the collapse could have been predicted. Credit: Google Earth

    Researchers have shown that Brazil’s deadly Brumadinho dam collapse could have been predicted with satellite-based ISBAS InSAR technology.

    One of Brazil’s worst environmental disasters — a dam collapse that also killed more than 200 people — could have been foreseen with the right monitoring technology, according to a new study by the University of Nottingham and Durham University.

    The high-profile catastrophe took place on January 25, 2019, at a tailings dam near the Córrego do Feijão iron ore mine, close to the town of Brumadinho, in Minas Gerais state, south-east Brazil. 

    When the dam collapsed, it caused a torrent of sludge to cover the surrounding land; taking lives, destroying homes and livelihoods, and polluting rivers with toxic material.

    Brumadinho Satellite Image
    Satellite image of Brumadinho before and after the dam collapse. Credit: NASA Earth Observatory images by Lauren Dauphin, using Landsat data from the U.S. Geological Survey

    Owned by Vale, Brazil’s largest mining company, the tailings dam was used for more than 40 years to hold waste from the mine. While it is not uncommon for such dams to move as more material is added and it compacts and shifts, accelerated movement shouldn’t happen; it’s a precursor that failure will occur. Brumadinho was the second Vale-owned mining dam to collapse in recent years and one of many widely reported failures worldwide.

    There are growing concerns about the stability of this particular type of dam and a significant number need enhanced monitoring says lead author Assistant Professor Stephen Grebby from the Nottingham Geospatial Institute at the University.

    Dr. Grebby, an expert at mapping the Earth’s surface from space, said: “Most mining companies currently rely upon ground-based sensors to monitor the stability of dams. However, these typically offer an inadequate coverage of measurements over the whole of the dam, which can make it difficult to detect movement or other signs of distress.”

    Stephen Grebby
    Dr. Stephen Grebby, lead study author from the Nottingham Geospatial Institute, University of Nottingham. Credit: University of Nottingham

    Applying InSAR (satellite radar imaging) to check for small ground movements in and around dams is not the current standard practice, and this is something Dr. Grebby would like to see change.

    He collaborated with Durham University and University of Nottingham spin-out company Terra Motion Ltd on the study to identify whether failure at Brumadinho could have been foreseen.

    How ISBAS Technology Sees What Others Miss

    They used an advanced InSAR technique called Intermittent Small Baseline Subset (ISBAS), developed by the University of Nottingham and Terra Motion, which can help overcome the limitations faced when using some of the more conventional InSAR techniques over vegetated terrain. Another benefit of this technology, over on-the-ground sensors, is it looks down from above and offers a more complete picture of ground movements with millimeter-level accuracy.

    Andy Sowter
    Dr Andy Sowter, CTO of Terra Motion Ltd. Credit: Terra Motion

    Warning Signs Were There — From Space

    Dr. Grebby adds: “Our ISBAS InSAR results revealed that different areas of the dam were moving at different rates and some of these were seen to accelerate suddenly during the two months preceding the collapse. Despite the dam being monitored by the mining company using standard techniques with no apparent warning raised, our analyses of the precursory movement indicate the timing of the collapse was foreseeable.

    “If monitored routinely, using the ISBAS InSAR technique, the failure date could have been predicted to within a week of it happening. Crucially, this prediction would have been possible around 40 days prior to the collapse, allowing time for a warning to be raised that the dam was becoming unstable. This could have led to more in-depth monitoring or other mitigation measures to avert the loss of life and environmental disaster that tragically unfolded.”

    The full findings have just been published in the paper ‘Advanced analysis of satellite data reveals ground deformation precursors to the Brumadinho Tailings Dam collapse’ in the Nature journal Communications Earth & Environment.

    Professor David Toll, Co-Director of the Institute for Hazard, Risk and Resilience at Durham University, said “Identifying an acceleration of ground movements during a period of wetting, just prior to the failure, helped to corroborate the anticipated failure mechanism. The collapse of the tailings dam can be explained by a reduction in suction in the tailings contributing to internal strains that could induce static liquefaction in the brittle materials.”

    Professor Jon Gluyas, Executive Director of Durham Energy Institute at Durham University said, “The novel use of InSAR satellite data to monitor the stability of dams is a real breakthrough as it means that you don’t need to instrument the ground in and around the dam to monitor it. Monitoring is thus no longer solely in the hands of the operating company.”

    Affordable, Scalable Global Monitoring is Within Reach

    Dr. Andrew Sowter, CTO of Terra Motion Limited and inventor of the ISBAS advanced InSAR technique said, “This work would not have been possible without the availability of free satellite data from the Sentinel-1 mission which has global reach and is sustainable for the foreseeable future. Along with the innovative approach described in this paper and our unique InSAR products, this means that a low-cost operational remote tailings monitoring system is within reach at local, regional, and even national scales anywhere in the world.”

    The researchers are now looking to develop the technology as a software that could be offered to the mining industry, which is looking out for a reliable, early warning system to predict the risk of imminent collapse at tailing dams. Combined with on-the-ground sensors, Dr. Grebby sees advanced InSAR techniques as a valuable addition to the monitoring tool box to evacuate and protect life.

    Reference: “Advanced analysis of satellite data reveals ground deformation precursors to the Brumadinho Tailings Dam collapse” by Stephen Grebby, Andrew Sowter, Jon Gluyas, David Toll, David Gee, Ahmed Athab and Renoy Girindran, 4 January 2021, Communications Earth & Environment.
    DOI: 10.1038/s43247-020-00079-2

    Never miss a breakthrough: Join the SciTechDaily newsletter.
    Follow us on Google and Google News.

    Geology Geophysics University of Nottingham
    Share. Facebook Twitter Pinterest LinkedIn Email Reddit

    Related Articles

    Prehistoric Extinctions Offer Insights for Today’s Endangered Species

    New Study Traces the Impact of Volcanic Activity on Climate Change

    Turtles Share a Recent Common Ancestor with Birds and Crocodiles

    Earth Received Most of Its Water Relatively Early from Chondrite-Like Bodies

    Yale Study Reveals Parts of Ancient Antarctica Were as Warm as Today’s California Coast

    Asteroid Collision Led to the Mass Extinction of Lizards and Snakes

    Coniophis Precedens, The Most Primitive Known Snake

    Experimental Evidence Verifies High-Pressure Structure for Cold-Compressed Graphite

    MIT Researchers Use Mathematical Model to Predict Speed of Spreading Valleys

    Leave A Reply Cancel Reply

    • Facebook
    • Twitter
    • Pinterest
    • YouTube

    Don't Miss a Discovery

    Subscribe for the Latest in Science & Tech!

    Trending News

    First-of-Its-Kind Discovery: Homer’s Iliad Found Embedded in a 1,600-Year-Old Egyptian Mummy

    Beyond Inflammation: Scientists Uncover New Cause of Persistent Rheumatoid Arthritis

    A Simple Molecule Could Unlock Safer, Easier Weight Loss

    Scientists Just Built a Quantum Battery That Charges Almost Instantly

    Researchers Unveil Groundbreaking Sustainable Solution to Vitamin B12 Deficiency

    Millions of People Have Osteopenia Without Realizing It – Here’s What You Need To Know

    Researchers Discover Boosting a Single Protein Helps the Brain Fight Alzheimer’s

    World-First Study Reveals Human Hearts Can Regenerate After a Heart Attack

    Follow SciTechDaily
    • Facebook
    • Twitter
    • YouTube
    • Pinterest
    • Newsletter
    • RSS
    SciTech News
    • Biology News
    • Chemistry News
    • Earth News
    • Health News
    • Physics News
    • Science News
    • Space News
    • Technology News
    Recent Posts
    • After Decades, MIT Researchers Capture the First 3D Atomic View of a Mysterious Material
    • Your Favorite Fishing Spot Is Turning Brown – and the Fish Are Changing
    • 380-Million-Year-Old Fish Fossil Reveals Secrets of Life’s First Steps Onto Land
    • Mezcal “Worm” in a Bottle Mystery: DNA Testing Reveals a Surprise
    • Scientists Turn Red Lettuce Green, Unlocking Hidden Nutrients
    Copyright © 1998 - 2026 SciTechDaily. All Rights Reserved.
    • Science News
    • About
    • Contact
    • Editorial Board
    • Privacy Policy
    • Terms of Use

    Type above and press Enter to search. Press Esc to cancel.