Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/2425
Title: Modeling and mapping of risk assessment from dangerous Goras hi lake using Geoinformatics
Authors: Mustafa, N.
Ashraf, A.
Ahmad, B.
Iqbal, M.B.
Naz, R.
Issue Date: Jun-2014
Publisher: Department of Zoology, University of Kelaniya, Kelaniya, Sri Lanka
Abstract: Peoples on mountains are living with disasters such as landslides, avalanc hes, rainfall flash floods, earthquakes, snow fall flash floods and glacial lake out flood events. With the phenomenon of climate change, the frequency of such disaster events increases. Pakistan is most affected due to climate change because of alarming s ituation of glaciers depletion in Hindu Kush, Karakorum and Himalayan (HKH) region. The HKH region is the hot spot for climate effects. Pakistan is a country which not contributes much release of greenhouse gasses that are the major cause of global warming and climate changes as compare to developed countries. The climatic condition dramatically affects the land and economy in this part of world due to heavy intensity of flood and cloud burst rainfall events which cause of flash floods and landslides. The G orashi lake which is formed due to a landslide event is highly dangerous because there are about eight glacial lakes in its catchments. If any of these lakes breaks, water volume of Gorashi lake will be increased causing a landslide. The water flow from Go rashi lake causes heavy floods with landslide material. This type of event can be disastrous for downstream villages such as Ghandoos, Kharmang and Gambat Brok. Using Geo - Informatics tools (GIS and Remote Sensing), the damaged area, crops losses and Econ omic losses are calculated and post disaster damages can be assessed. Safe locations for affectees are also be suggested thus minimizing the losses.
URI: http://repository.kln.ac.lk/handle/123456789/2425
ISBN: 978-955-4563-21-6
Appears in Collections:International Symposium on ICT for Environmental Sustainability (ICTES 2014)

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