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• W2736242389 abstract "Several related pre-event environment indices coupled with a 200-year event of Typhoon Morakot were used in this study to analyse landslide risk/scale for mapping and verifying the danger grade of watershed landslides. Risk analysis was modelled using maximum daily rainfall of the tested event as the hazard factor, and a complex indicator derived from indices of return period, road development and green deterioration as the vulnerability factor. The vulnerability factor was then modified using the slope to adjust the weight for excluding the flat areas and increasing impact of steep areas. A comprehensive indicator integrated from indices of river concave, headward erosion and dip slope was provided as the hotspot of potential large-scale landslides which were modified by vegetation index to correct sediment yield due to antecedent effects. Finally, sites with high potential large-scale landslide could be interpreted by the danger grade calculated from collapse risk/scale analysis. The results sho..." @default.
• W2736242389 created "2017-07-21" @default.
• W2736242389 creator A5022042947 @default.
• W2736242389 creator A5077727077 @default.
• W2736242389 date "2017-07-10" @default.
• W2736242389 modified "2023-09-26" @default.
• W2736242389 title "Risk-based models for potential large-scale landslide monitoring and management in Taiwan" @default.
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• W2736242389 doi "https://doi.org/10.1080/19475705.2017.1345797" @default.
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