Remote Sensing and GIS Based Assessment of Avalanching Glaciers in the Himalayas Due to Climate Change
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I.O.E. Pulchowk Campus
Abstract
Hanging glaciers are a significant risk factor for avalanches, which can cause major disasters.
Icefalls and avalanches from hanging glaciers pose a continuous threat to the regions beneath them.
Therefore, it is imperative to invest in monitoring, analyzing, and modeling these phenomena. This
will help to produce reliable forecasts, which can be used to take timely and efficient actions, such
as evacuating areas. The analysis and modeling of avalanches can also help to improve our
understanding of the underlying processes and influential factors. This can lead to the development
of more effective early warning system. One approach to identifying potential avalanche zones is
to use the Analytical Hierarchy Process (AHP) within a Geographic Information System (GIS)
platform. This method has been proven effective for mapping avalanche-prone areas in rugged
mountain landscapes. Another approach is to use a numerical simulation model such as the Rapid
Mass Movement Simulation (RAMMS) model. This model can be used to simulate the flow
dynamics of sites with potential avalanche activity. Both approaches have demonstrated their
efficacy in predicting avalanche hazards in snowy and glacial environments. The goal of this study
is to comprehensively address the societal impacts of avalanches, viewing them both as hazards
and as disturbances within the environment.
Keywords: Avalanche, Analytical Hierarchical Process (AHP), Hazard, Hanging glacier, Mass
Description
Hanging glaciers are a significant risk factor for avalanches, which can cause major disasters.
Icefalls and avalanches from hanging glaciers pose a continuous threat to the regions beneath them.
Therefore, it is imperative to invest in monitoring, analyzing, and modeling these phenomena. This
will help to produce reliable forecasts, which can be used to take timely and efficient actions, such
as evacuating areas.