Climate change is contributing to crop stress associated with a growing demand for freshwater.
India
Posted inThe Landslide Blog
Active deformation around South Lhonak lake in Sikkim, India
The Landslide Blog is written by Dave Petley, who is widely recognized as a world leader in the study and management of landslides. In recent days, the dedicated group of landslide scientists that tries to understand large events has been focused on the dreadful Glacial Lake Outburst Flood (GLOF) that caused such high levels of […]
Posted inThe Landslide Blog
The likely causes of the 4 October 2023 Sikkim flood disaster
The Landslide Blog is written by Dave Petley, who is widely recognized as a world leader in the study and management of landslides. Amongst a deluge of tragic news stories, the appalling flood in Sikkim in NE India on 4 October 2023 has received less attention than it deserved. The basic information about the event […]
Posted inThe Landslide Blog
The 24 August 2023 landslide at Anni in Himachal Pradesh, India
A landslide in Anni, N. India has destroyed eight buildings.
Posted inThe Landslide Blog
The 14 August 2023 landslides in Himachal Pradesh, India
Heavy rainfall has triggered extensive landslides in Himachal Pradesh, India
Posted inThe Landslide Blog
A very lucky escape in a debris flow in Arunachal Pradesh, northern India
A video posted to social media shows three people having a very lucky escape from a debris flow in Arunachal Pradesh, northern India.
Posted inNews
शहरी हरियाली के लाभों का आंकलन
शहर में हरियाली डिज़ाइन करते समय शहर के समुदायों को शायद यह सोचना पड़े कि जल अवशोषण या शीतलन, कौन से लाभ ज़्यादा ज़रूरी हैं।
Posted inNews
New Forecasting Tool Could Help Indian Farmers Plan Irrigation
Tropical weather is unpredictable, but a new tool could help farmers get a better grasp on it.
Posted inNews
Veterinary Antibiotics Reduce Soil Carbon Sequestration Capacity
Livestock grazing areas sequester less carbon than those under wild herbivores.
Posted inEditors' Highlights
Unleashing the Power of AutoML for Atmospheric Research
Automated Machine Learning liberates domain scientists from selecting learners and hyperparameters and discovers the importance of atmospheric trace gases for improving surface PM2.5 estimates.