2019
DOI: 10.1016/j.catena.2018.12.023
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Assessing landslide characteristics in a changing climate in northern Taiwan

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Cited by 40 publications
(19 citation statements)
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“…Here we further separated typhoon events into the top 5%, 5%-10%, and 10%-15% to confirm possible changes in landslide-area characteristics from the base period to the end of the 21st century. Previous studies in Taiwan often used m01 and c0 as simulation scenarios for the base period and the end of the 21st century, and they explored the impact of climate change [16,36,37]. Figure 4 shows the landslide-area characteristics of the top 5%, 5%-10%, and 10%-15% typhoons during the base period and the end of the 21st century in the Shihmen Reservoir catchment and the Xindian River catchment simulated only with the m01 and c0 scenarios.…”
Section: Discussionmentioning
confidence: 99%
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“…Here we further separated typhoon events into the top 5%, 5%-10%, and 10%-15% to confirm possible changes in landslide-area characteristics from the base period to the end of the 21st century. Previous studies in Taiwan often used m01 and c0 as simulation scenarios for the base period and the end of the 21st century, and they explored the impact of climate change [16,36,37]. Figure 4 shows the landslide-area characteristics of the top 5%, 5%-10%, and 10%-15% typhoons during the base period and the end of the 21st century in the Shihmen Reservoir catchment and the Xindian River catchment simulated only with the m01 and c0 scenarios.…”
Section: Discussionmentioning
confidence: 99%
“…However, if we consider the uncertainty of the simulations, the 95% confidence intervals at the base period and the end of the 21st century almost overlap (red and blue areas in Figure 4), which means that this result cannot really explain the difference between the present and the future. Chen et al [16] also pointed out that the future is full of uncertainty, for changes in human activities and the efficiency of carbon reduction will bring additional effects, which may lead to different possibilities. More climate change scenarios must be incorporated, and the ensemble method must be employed to achieve more reliable results.…”
Section: Discussionmentioning
confidence: 99%
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