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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/801
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| Title: | LaSaRiZ: A Software for Landslide Susceptibility Zonation and Risk Assessment using Neural Network and Fuzzy Set Approaches. |
| Authors: | Arora, M K
Chuhan, S
Sharma, M
Kanungo, D P |
| Keywords: | 2011
Software for Landslide
Fuzzy Set
Risk assessment |
| Issue Date: | 5-Mar-2012 |
| Abstract: | Availability of accurate and objective landslide susceptibility maps depicting zones defined on
the basis of probability of occurrence of landslides is one of the critical inputs in assessing risk to property and
lives in any mountainous region, particularly in the Himalayas. The aim of this study is to portray the usage of
an in-house developed indigenous software, acronymmed as Landslide Susceptibility and Risk Zonation
(LaSaRiZ), for landslide susceptibility zonation and risk assessment. The software incorporates the
implementation of three recently proposed objective approaches for Landslide Susceptibility Zonation (LSZ)
and two new approaches for Landslide Risk Assessment (LRA). The efficacy of the software was examined
through a case study in Western Himalayan region of India. The results from the software indicate that LSZ map
based on combined neural network and fuzzy approach performed exceedingly better than those produced from
neural network black box approach and fuzzy relation based approaches. The landslide risk assessment maps
obtained through the two new approaches implemented in this software were able to clearly depict the resource
categories, which were under risk due to landslides in the region. |
| Description: | Proc. INDOROCK 2011: Third Indian Rock Conference by ISRMTT, October 13-15, Roorkee. |
| URI: | http://hdl.handle.net/123456789/801 |
| Appears in Collections: | Published Articles
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