Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model
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...
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doaj-6cac376cdeb94dae865e1637fa2bad762020-11-24T23:29:05ZengMDPI AGSustainability2071-10502018-08-01108294110.3390/su10082941su10082941Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction ModelSangseom Jeong0Azman Kassim1Moonhyun Hong2Nader Saadatkhah3School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, KoreaDepartment of Geotechnics and Transportation, Universiti Teknologi Malaysia, Johor Bahru 81310, MalaysiaSchool of Civil and Environmental Engineering, Yonsei University, Seoul 03722, KoreaDepartment of Civil Engineering, Faculty of Engineering, Islamic Azad University (IAU), Kerman Branch, Kerman 761, IranThis 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.http://www.mdpi.com/2071-1050/10/8/2941landslide susceptibilityrainfall-induced landslidephysical modelgroundwater flow |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sangseom Jeong Azman Kassim Moonhyun Hong Nader Saadatkhah |
spellingShingle |
Sangseom Jeong Azman Kassim Moonhyun Hong Nader Saadatkhah Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model Sustainability landslide susceptibility rainfall-induced landslide physical model groundwater flow |
author_facet |
Sangseom Jeong Azman Kassim Moonhyun Hong Nader Saadatkhah |
author_sort |
Sangseom Jeong |
title |
Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model |
title_short |
Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model |
title_full |
Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model |
title_fullStr |
Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model |
title_full_unstemmed |
Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model |
title_sort |
susceptibility assessments of landslides in hulu kelang area using a geographic information system-based prediction model |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2018-08-01 |
description |
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. |
topic |
landslide susceptibility rainfall-induced landslide physical model groundwater flow |
url |
http://www.mdpi.com/2071-1050/10/8/2941 |
work_keys_str_mv |
AT sangseomjeong susceptibilityassessmentsoflandslidesinhulukelangareausingageographicinformationsystembasedpredictionmodel AT azmankassim susceptibilityassessmentsoflandslidesinhulukelangareausingageographicinformationsystembasedpredictionmodel AT moonhyunhong susceptibilityassessmentsoflandslidesinhulukelangareausingageographicinformationsystembasedpredictionmodel AT nadersaadatkhah susceptibilityassessmentsoflandslidesinhulukelangareausingageographicinformationsystembasedpredictionmodel |
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1725546593279541248 |