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Sustainability 2018, 10(8), 2941; https://doi.org/10.3390/su10082941

Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model

1
School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Korea
2
Department of Geotechnics and Transportation, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
3
Department of Civil Engineering, Faculty of Engineering, Islamic Azad University (IAU), Kerman Branch, Kerman 761, Iran
*
Author to whom correspondence should be addressed.
Received: 13 July 2018 / Revised: 9 August 2018 / Accepted: 13 August 2018 / Published: 19 August 2018
(This article belongs to the Section Sustainable Engineering and Science)
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Abstract

This study was conducted to estimate the susceptibility of landslides on a test site in Malaysia (Hulu Kelang area). A Geographic Information system (GIS)-based physical model named YS-Slope, which integrates a mechanistic infinite slope stability method and the geo-hydrological model was applied to calculate the safety factor of the test site. Input data, slopes, soil-depth, elevations, soil properties and plant covers were constructed as GIS datasets. The factor of safety of shallow landslides along the wetting front and deep-seated landslides at the bottom of the groundwater were estimated to compare with the analysis results of the existing model and actual landslides in 2008. According to the results of the study, shallow landslides mainly occurred in the central area which has many historical landslides, while deep-seated landslides were predominant in the east side of the study area. A ROC analysis was conducted and it is shown that the prediction result at the end of the northeast monsoon for shallow landslides showed relatively high accuracy compared with other predictions. View Full-Text
Keywords: landslide susceptibility; rainfall-induced landslide; physical model; groundwater flow landslide susceptibility; rainfall-induced landslide; physical model; groundwater flow
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Jeong, S.; Kassim, A.; Hong, M.; Saadatkhah, N. Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model. Sustainability 2018, 10, 2941.

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