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GLOFs Disasters in Himalayas: A Defeat against Climate Change
Indian Science Cruiser, 2023In the fight against climate change, India had to face two crushing defeats in the form of environment disasters, the Glacial Lake Outburst Floods (GLOFs) in the Himalayas, in 2013 in Kedarnath and in 2023 in Sikkim. In the last 4 decades, the focus regarding global warming was on Ozone hole and polar ice caps which as per forecast, would melt, and ...
Sandeep Nandi
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Glacier Retreat and Glacial Lake Outburst Floods (GLOFs)
2017Glacier retreat is considered to be one of the most obvious manifestations of recent and ongoing climate change in the majority of glacierized alpine and high-latitude regions throughout the world. Glacier retreat itself is both directly and indirectly connected to the various interrelated geomorphological/hydrological processes and changes in ...
A. Emmer
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Glacial Lake Outburst Floods (GLOFs) Database Project
2014Due to global climate change and ongoing deglaciation, research on Glacial Lake Outburst Floods (GLOFs) is of great importance. The idea of a glacial lake outburst floods database project arose from our effort to identify regional specifics of these events in our region of research interest—the highest Peruvian mountain range, Cordillera Blanca.
Adam Emmer, Vít Vilímek, Jan Klimeš
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Database of glacial lake outburst floods (GLOFs)–IPL project No. 179
Landslides, 2013This article summarises activities and preliminary results of the International Programme on Landslides Project no. 179 “Database of glacial lake outburst floods (GLOFs)”. This project is planned for 3 years (2013–2015); the main objectives of the first year are (1) to create an online database and (2) to select collaborating partners.
Vilímek Vít +4 more
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Analysis of the Miage Glacier Lake GLOFs (Aosta Valley - Italy).
2020<p>Miage Glacier Lake is a glacial marginal lake that forms on the right snout of Miage Glacier, located in the Val Veny Valley (Aosta Valley &#8211; Italy). The lake has been experiencing seasonal drainages at least since the 1930&#8217;s and 15 events have been documented from 1930 to 1990. The lake position has
Fabrizio Troilo +5 more
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Science of the Total Environment, 2023
The current highest glacial lake outburst floods (GLOFs) risk level is centered in the eastern Himalaya. GLOFs represent a serious threat to downstream inhabitants and ecological environment. In the context of climate warming on the Tibetan Plateau, such
Liyang Jiang +8 more
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The current highest glacial lake outburst floods (GLOFs) risk level is centered in the eastern Himalaya. GLOFs represent a serious threat to downstream inhabitants and ecological environment. In the context of climate warming on the Tibetan Plateau, such
Liyang Jiang +8 more
semanticscholar +1 more source
Science of The Total Environment, 2015
Floods from moraine-dammed lake failures can have long standing effects not only on riverine landscapes but also on mountain communities due to the high intensity (i.e. great depth and high velocities) and damaging capacity of glacial lake outburst floods (GLOFs). GLOFs may increase in frequency as glaciers retreat and new lakes develop and there is an
Pablo Iribarren, Anacona +2 more
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Floods from moraine-dammed lake failures can have long standing effects not only on riverine landscapes but also on mountain communities due to the high intensity (i.e. great depth and high velocities) and damaging capacity of glacial lake outburst floods (GLOFs). GLOFs may increase in frequency as glaciers retreat and new lakes develop and there is an
Pablo Iribarren, Anacona +2 more
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Adaptation to Glacial Lake Outburst Floods (GLOFs) in the Hindukush-Himalaya: A Review
ClimateThis study examines adaptation strategies to mitigate the risks posed by Glacial Lake Outburst Floods (GLOFs) in the Hindu Kush Himalayan (HKH) region, encompassing Pakistan, India, Nepal, Bhutan, and Afghanistan.
S. Shah, Asif Ishtiaque
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GLOF: a new approach for mining local outlier
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004For many data mining applications, finding the rare instances or the outliers is more interesting than finding the common patterns. In this paper, we introduce the power mean to data mining. We propose a new approach to measure the degree of an object being an outlier, which based on the nearest neighborhood and is called generalized local outlier ...
null Sheng-Yi Jiang +4 more
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