Glaciers in Tibetan Plateau shrink 15% due to global warming: Report
Glaciers in the Qinghai-Tibet Plateau in western China have shrunk by 15 per cent over the past three decades and the situation could worsen in future due to global warming, according to Chinese scientists.
Zee Media Bureau
Beijing: Glaciers in the Qinghai-Tibet Plateau in western China have shrunk by 15 per cent over the past three decades and the situation could worsen in future due to global warming, according to Chinese scientists.
The Institute of Tibetan Plateau Research of the Chinese Academy of Sciences (CAS) in its report said that glaciers on the plateau and surrounding areas have shrunk by 15 per cent from 53,000 to 45,000 square kilometres in the past three decades.
As the highest place in the world`s mid-latitude regions, the plateau is more likely to be affected by global warming, they said.
Tibet is the home of several Himalayan rivers including the Brahmaputra.
According to Kang Shichang, a state laboratory director with the Cold and Arid Regions Environmental and Engineering Research Institute of CAS, glaciers in the plateau have been shrinking since the 20th century and sped up since the 1990s.
“More and bigger cracks have appeared in ice at regions of an altitude above 6,300 metres in Mount Qomolangma (Mt Everest), a sign of rapidly melting glaciers,” he said.
China has more than 46,000 glaciers, mainly in the Qinghai-Tibet Plateau.
They are a reliable indicator of climate change, and easy for scientists to observe, state-run Xinhua news agency reported.
Kang said retreating glaciers have impacted meltwater rivers and led to more glacier-lake outbursts.
“It can increase water flow of major rivers in the short term, but in the long run, a continuation of the retreat will eventually deplete the glacial ice and substantially reduce or eliminate runoff,” he added.
The Qinghai-Tibet plateau is a vast, elevated plateau in Central Asia and East Asia covering most of the Tibetan Autonomous Region as well as highland parts of neighbouring provinces.
With PTI Inputs