Evaluation and Development of Cut-Slope Assessment System for Peninsular Malaysia in Predicting Landslides in Granitic Formation

A slope assessment is carried out to predict the probability of occurrence and the degree of severity of landslides in a given area. This paper evaluates four existing slope assessment systems (SAS) for predicting landslides at micro level of assessment developed by the Public Works Department of Malaysia, namely the Slope Maintenance System (SMS), Slope Priority Ranking System (SPRS), Slope Information Management System (SIMS) and the Slope Management and Risk Tracking System (SMART). From the results of this study, it appears that none of the existing SAS is satisfactory for predicting landslide in granitic formation, due to various reasons such as the use of hazard score developed from another country, insufficient database, and the use of data base derived from different rock formations. Two new SAS were developed, i.e. Model A using ten–variables equation that is based on the stepwise discriminant analysis, and Model B using ninevariables equation that is based on the stepwise linear regression analysis. These two new models appear to be suitable for predicting landslides in granitic formations than the existing four SAS