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| Titel: |
Evaluation of Slope Assessment Systems for Predicting Landslides of Cut Slopes in Granitic and Meta-sediment Formations |
| Auteur: |
Suhaimi Jamaludin Bujang B.K. Huat Husaini Omar |
| Verschenen in: |
American journal of environmental sciences |
| Paginering: | Jaargang 2 (2006) nr. 4 pagina's 135-141 |
| Jaar: |
2006 |
| Inhoud: |
In Malaysia, slope assessment systems (SAS) are widely used in assessing the instability ofslope or the probability of occurrence and the likely severity of landslides. These SAS can be derivedbased on either one particular approach or combination of several approaches of landslide assessmentsand prediction. This study overviews four slope assessment systems (SAS) developed in Malaysia forpredicting landslide at a large-scale assessments. They are the Slope Maintenance System (SMS),Slope Priority Ranking System (SPRS), Slope Information Management System (SIMS) and the SlopeManagement and Risk Tracking System (SMART). An attempt is made to evaluate the accuracy of theSAS in predicting landslides based on slope inventory data from 139 cut slopes in granitic formationand 47 cut slopes in meta-sediment formation, which are the two most common rock/soil formationsfound in Malaysia. Based on this study, it was found that none of existing SAS is satisfactory inpredicting landslides of cut slopes in granitic formation, for various reasons such as the use of hazardscore developed from another country, insufficient data base, oversimplified approach and use of database derived from different rock/soil formations. However for the case of cut slope in meta-sediment,the Slope Management and Risk Tracking System (SMART) was found to be satisfactory with 90%prediction accuracy. The current database of SMART is largely based on meta-sediment formation. |
| Uitgever: |
Science Publications (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 5 van 7 gevonden artikelen
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