Landslide susceptibility assessment for cameron highlands using analytical hierarchy process

Muhammad Izzat Mohd Hanafiah, Badariah Solemon, Rohayu Omar, Rasyikin Roslan, Warishah Abdul Wahab, Intan Nor Zuliana Baharuddin, Vigneswaran Gunasagaran

Research output: Contribution to journalArticle

Abstract

Landslides susceptibility assessment has been conducted to identify the landslide-prone areas by using Geographical Information System (GIS) through Analytical Hierarchy Process (AHP) technique. Ten predictive or causative factors, such as digital elevation map (DEM), aspect, slope, curvature, geology, land use, fault, river, road and rainfall are used to map the susceptibility of landslides. Five classification zones of landslide susceptibility area are classes to very high, high, moderate, low and very low zone. The classification zones were compared and validated using a landslide inventory map produce from the integration of historical data and field survey using area under curve (AUC) method. The AHP technique final result shows 78.0% accuracy of landslide prediction, which considered as a fair result and it is acceptable. The mitigation measures for planning safe urbanization can be formulated using this susceptibility map.

Original languageEnglish
Pages (from-to)3494-3499
Number of pages6
JournalInternational Journal of Engineering and Advanced Technology
Volume9
Issue number1
DOIs
Publication statusPublished - Oct 2019

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All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Engineering(all)
  • Computer Science Applications

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