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• W2557621170 abstract "A semi-quantitative landslide-risk assessment method, which would provide a spatial estimate of future landslide risks in a densely populated area in Kuala Lumpur City, was presented in this study. This work focused on detail risk assessment by identifying the number of elements at risk. A medium-scale analysis was performed using geospatial based techniques. The estimation of rainfall threshold and the landslide hazard map used in the current work are obtained from the previous literature published by the same authors. Subsequently, the vulnerability value was generalized, and then a valid integration between elements at risk and the hazard map was conducted to determine the expected number of elements that would likely be under direct risk. Results showed that the approximate number of predicted affected elements per pixel, as a percentage of the settlement unit, is nearly 50% in residential areas, 35% in commercial buildings, 31% in industrial buildings, 31% in utility areas, and 18% in densely populated areas. Similarly, a significant percentage of predicted losses (27%) were found for the road network. The results showed the capability of the method to approximately predict the number of infrastructure elements and the population density under landslide risk in data-scarce environments." @default.
• W2557621170 created "2016-12-08" @default.
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• W2557621170 date "2016-12-02" @default.
• W2557621170 modified "2023-10-13" @default.
• W2557621170 title "Semi-quantitative landslide risk assessment using GIS-based exposure analysis in Kuala Lumpur City" @default.
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• W2557621170 doi "https://doi.org/10.1080/19475705.2016.1255670" @default.
• W2557621170 hasPublicationYear "2016" @default.
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