Learn bits
Science & Tech.
Mahesh

27/04/24 08:48 AM IST

ISRO used satellite remote-sensing to analyse glacial lakes in Himalayas

In News
  • Recently,Indian Space Research Organisation (ISRO) released satellite-data-based analysis on expansion of glacial lakes in the catchments of Indian Himalayan river basins. 
Major Findings
  • ISRO’s analysis looked at satellite data archives spanning the past four decades to assess changes in the glaciated environment.
  • Long-term satellite imagery covering the catchments of Indian Himalayan river basins — spread over India, Nepal, Tibet, and Bhutan — is available from 1984 onwards, till 2023.
  • ISRO’s data has indicated significant expansion in the size of glacial lakes.
  • Of the 2,431 lakes larger than 10 hectares (identified during 2016-17), 676 glacial lakes had expanded significantly since 1984.
  • Of these 676 lakes, 601 lakes had more than doubled in size, 10 lakes had grown between 1.5 to 2 times, and 65 lakes had grown 1.5 times.
  • ISRO said that 130 of the 676 lakes are situated in India, in the Indus (65), Ganga (7), and Brahmaputra (58) river basins.
  • These lakes have expanded as glaciers are retreating at an ever faster rate due to global warming.
Glacial Lakes
  • The movement of glaciers causes erosion and creates depressions in the surrounding topography.
  • When they retreat, meltwater starts to accumulate in such depressions, giving birth to glacier lakes.
  • ISRO categorised glacial lakes into four broad categories based on how they were formed — moraine-dammed, ice-dammed, erosion-based, and ‘others’.
  • Moraine and ice-dammed lakes are formed when water is dammed by moraine — debris such as rocks and soil left during the movement of glaciers — and ice respectively.
  • Erosion-based lakes are formed when water is dammed by erosion-created depressions.
  • While glacial lakes are crucial sources of freshwater for rivers, they also pose significant risks, specifically of GLOFs, which can have devastating consequences on communities downstream.
  • GLOFs occur when glacial lakes release large volumes of meltwater due to the failure of natural dams… resulting in sudden and severe flooding downstream.
  • These dam failures can be triggered by various factors, including avalanches of ice or rock.
Challenges
  • The monitoring of glacial lakes and their expansion in the Himalayan region is challenging due to the rugged terrain.
  • Satellite-derived long-term change analysis provide valuable insights for understanding glacial lake dynamics, which are essential for assessing environmental impacts and developing strategies for GLOM risk management and climate change adaptation in glacial environments.
  • Most of the glacial lake sites are not accessible by motorable roads.
  • In this scenario, remote sensing tools, which are highly advanced now, can help us monitor the growth of glacial lakes and understand their dynamics.
  • Fieldwork is crucial to set up instrumentation for early warning systems.
  • These can include installing motion detection cameras, water level sensors, discharge meters etc. that can capture anomalous activity in and around glacial lakes.
Source- Indian Express

More Related Current Affairs View All

15 Nov

Government issues guidelines to curb misleading ads by coaching centres

'The central Government issued new guidelines aimed at curbing misleading advertisements by coaching institutes, specifically prohibiting false promises such as "100 per cent selec

Read More

15 Nov

Janjatiya Gaurav Divas

'Every year on November 15th, Janjatiya Gaurav Divas is celebrated to honor the contributions of these communities, especially in India’s freedom struggle.' 5th November

Read More

15 Nov

Supreme Court’s order on mandatory accessibility standards

'A bench of the Supreme Court last week ordered the Union government to frame mandatory rules for ensuring the accessibility of public places and services to persons with disabilit

Read More

India’s First Ai-Driven Magazine Generator

Generate Your Custom Current Affairs Magazine using our AI in just 3 steps