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http://hdl.handle.net/123456789/788
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Title: | Landslide Risk Assessment Using Danger Pixel And Fuzzy Concepts In Darjeeling Himalayas. |
Authors: | Kanungo, D P Arora, M K Gupta, R P Sarkar, S |
Keywords: | Landslide Susceptibility Resource Risk Danger pixels Fuzzy Linguistic 2008 |
Issue Date: | 5-Mar-2012 |
Abstract: | Landslide risk assessment (LRA) is a key component of
landslide studies. The landslide risk can be defined as the potential
for adverse consequences or loss to human population and property
due to the occurrence of landslides. The LRA can be regional or sitespecific
in nature and is an important information for planning
various developmental activities in the area. LRA is considered as a
function of landslide potential (LP) and resource damage potential
(RDP). The LP and RDP are typically characterized by the landslide
susceptibility zonation map and the resourcemap (i.e., land use land
cover map) of the area, respectively. Development of approaches for
LRA has always been a challenge. In the present study, two
approaches for LRA, one based on the concept of danger pixels
and the other based on fuzzy set theory, have been developed and
implemented to generate LRA maps of Darjeeling Himalayas, India.
The LRAmap based on the first approach indicates that 1,015 pixels of
habitation and 921 pixels of road section are under risk due to
landslides. The LRA map derived from fuzzy set theory based
approach shows that a part of habitat area (2,496 pixels) is under very
high risk due to landslides. Also, another part of habitat area and a
portion of road network (7,204 pixels) are under high risk due to
landslides. Thus, LRA map based on the concept of danger pixels
gives the pixels under different resource categories at risk due to
landslides whereas the LRA map based on the concept of fuzzy set
theory further refines this result by defining the degree of severity of
risk to these categories by putting these into high and low risk zones.
Hence, the landslide risk assessment study carried out using two
approaches in this paper can be considered in cohesion for assessing
the risks due to landslides in a region. |
Description: | Landslides, Vol. 5, pp.407-416. |
URI: | http://hdl.handle.net/123456789/788 |
Appears in Collections: | Published Articles
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