Death Toll in Flash Floods Rises to at Least 32, Says Disaster Management Official in Indian-Controlled Kashmir
Officials warn cloudbursts in Jammu and Kashmir's mountainous regions are rising due to climate change, causing flash floods that threaten thousands, with rescue efforts underway.
- On Thursday, Indian officials said several people are feared dead after flash floods from torrential rains struck Chositi, a remote Himalayan village in Indian-controlled Kashmir.
- Experts say cloudbursts have increased in recent years, partly due to climate change and unplanned development, while Jitendra Singh said they triggered the floods in Jammu and Kashmir's Chositi area.
- Responders found seven bodies and rescued 60 people, with initial estimations suggesting at least 50 others are still missing, Susheel Kumar Sharma said.
- Gov. Manoj Sinha offered condolences and directed India's military, paramilitary and police forces along with disaster management officials to strengthen rescue operations as the pilgrimage was suspended.
- Multiple pilgrims are also feared to be affected, underscoring that cloudbursts can wreak havoc by causing intense flooding and landslides impacting thousands in mountainous regions.
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Flood kills 46 in Indian Kashmir mountain village
Powerful torrents driven by intense rain smashed into a Himalayan mountain village in Indian-administered Kashmir and killed at least 46 people on Thursday, a top disaster management official told AFP.

+5 Reposted by 5 other sources
Flood kills 37 in Indian Kashmir mountain village
Powerful torrents driven by intense rain smashed into a Himalayan mountain village in Indian-administered Kashmir and killed at least 37 people on Thursday, a top disaster management official told AFP.
·Calhoun, United States
Read Full ArticleThirty-five people were also injured, the second major disaster caused by deadly floods in the country since the beginning of the month.
·Paris, France
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Total News Sources54
Leaning Left17Leaning Right5Center15Last UpdatedBias Distribution46% Left
Bias Distribution
- 46% of the sources lean Left
46% Left
L 46%
C 41%
14%
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