Current Affairs22 Jan, 2026The HinduStudy shows India’s ...
GS 1: Indian GeographyGS 3: Environment & EcologyGS 3: Disaster ManagementPrelims

Study shows India’s deltas sinking due to human activity, PgII

Indian river deltas sinking rapidly due to human activities like groundwater extraction and urbanization, exacerbating flood risks and land loss.

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Key Highlights:

  • A study reveals that India's river deltas are sinking due to human activities like groundwater extraction and urbanization.
  • Six Indian deltas, including Ganges-Brahmaputra, Brahmani, Mahanadi, Godavari, Cauvery, and Kabani, are experiencing land subsidence.
  • Over 90% of the Ganges-Brahmaputra, Brahmani, and Mahanadi deltas are affected by sinking.
  • In some deltas, the rate of land subsidence exceeds the rate of regional sea-level rise.
  • Ganges-Brahmaputra and Cauvery deltas are significantly impacted by unsustainable groundwater extraction, while the Brahmani delta is affected by rapid urbanization.

Detailed Insights:

  • The study used interferometric synthetic aperture radar data from the European Space Agency’s Sentinel-1 satellite (2014-2023) to assess subsidence rates in 40 major deltas globally.
  • A random forest machine learning model correlated subsidence rates with stressors like groundwater storage, sediment flux, and urban expansion.
  • Land subsidence leads to increased coastal and river flooding, permanent land loss, saltwater intrusion, agricultural land degradation, and damage to infrastructure.
  • The Ganges-Brahmaputra delta has transitioned from a "latent threat" to an "unprepared diver," indicating increased risk and stagnant institutional capacity.
  • The study acknowledges limitations in GRACE data for smaller deltas and the need for updated sediment flux data.

Scientific/Technical Concepts Involved:

  • Interferometric Synthetic Aperture Radar (InSAR): A remote sensing technique using radar to detect ground deformation.
  • Sentinel-1: An ESA satellite mission providing radar data for various applications, including monitoring land subsidence.
  • Random Forest: A machine learning algorithm used for classification and regression tasks, here used to correlate subsidence with stressors.
  • GRACE Satellites: A joint NASA-German mission measuring variations in Earth's gravity field, used to estimate groundwater storage.
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