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- W2216132826 abstract "In Malaysia, slope assessment systems (SAS) are widely used in assessing the instability ofslopes or the probability of occurrence and likely severity of landslides. These SAS can bederived based on either one particular approach or combination of several approaches oflandslide assessments and prediction. This paper overviews five slope assessment systems(SAS) developed in Malaysia for predicting landslide for large-scale assessments. They arethe Slope Maintenance System (SMS), Slope Priority Ranking System (SPRS), SlopeInformation Management System (SIMS), the Slope Management and Risk Tracking System(SMART), and the Landslide Hazard and Risk Assessment (LHRA). An attempt is made toevaluate the accuracy of these SAS in predicting landslides based on slope inventory datafrom 139 cut slopes in granitic formations, and 47 cut slopes in meta-sediment formations,which are the two most common rock/soil formations found in West Malaysia. Based on thisstudy, it was found that none of the existing SAS is satisfactory for predicting landslides ofcut slopes in granitic formations, for various reasons such as the use of a hazard scoredeveloped from another country, an insufficient data base, an oversimplified approach, andthe use of data base derived from different rock/soil formations. However for the case of cutslopes in meta-sediment, the Slope Management and Risk Tracking System (SMART) wasfound to be satisfactory with a 90% prediction accuracy. The current database of SMART islargely based on meta-sediment formations from the Kundusang area of Sabah, EastMalaysia." @default.
- W2216132826 created "2016-06-24" @default.
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- W2216132826 date "2008-01-01" @default.
- W2216132826 modified "2023-09-28" @default.
- W2216132826 title "Slope Assessment Systems: A Review and Evaluation of Current Techniques Used for Cut Slopes in the Mountainous Terrain of West Malaysia" @default.
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