DOI: 10.3390/w12020564
论文题名: Future landslide characteristic assessment using ensemble climate change scenarios: A case study in Taiwan
作者: Chen Y.-M. ; Chen C.-W. ; Chao Y.-C. ; Tung Y.-S. ; Liou J.-J. ; Li H.-C. ; Cheng C.-T.
刊名: Water (Switzerland)
ISSN: 20734441
出版年: 2020
卷: 12, 期: 2 语种: 英语
英文关键词: Climate change
; Dynamical downscaling
; Empirical relationship
; Ensemble
; Landslide
; Scenario
; Sea surface temperature
; Typhoon
; Uncertainty
Scopus关键词: Catchments
; Climate change
; Global warming
; Hurricanes
; Oceanography
; Rain
; Runoff
; Storms
; Dynamical downscaling
; Empirical relationships
; Ensemble
; Scenario
; Sea surface temperature (SST)
; Uncertainty
; Landslides
英文摘要: Affected by climate change owing to global warming, the frequency of extreme rainfall events has gradually increased in recent years. Many studies have analyzed the impacts of climate change in various fields. However, uncertainty about the scenarios they used is still an important issue. This study used two and four multi-scenarios at the base period (1979-2003) and the end of the 21st century (2075-2099) to collect the top-ranking typhoons and analyze the rainfall conditions of these typhoons in two catchments in northern Taiwan. The landslide-area characteristics caused by these typhoons were estimated using empirical relationships, with rainfall conditions established by a previous study. In addition to counting landslide-area characteristics caused by the typhoons of each single scenario, we also used the ensemble method to combine all scenarios to calculate landslide-area characteristic statistics. Comparing the statistical results of each single scenario and the ensembles, we found that the ensemble method minimized the uncertainty and identified the possible most severe case from the simulation. We further separated typhoons into the top 5%, 5%-10%, and 10%-15% to confirm possible changes in landslide-area characteristics under climate change. We noticed that the uncertainty of the base period and the end of the 21st century almost overlapped if only a single scenario was used. In contrast, the ensemble approach successfully distinguished the differences in both the average values of landslide-area characteristics and the 95% confidence intervals. The ensemble results indicated that the landslide magnitude triggered by medium- and high-level typhoons (top 5%-15%) will increase by 24%-29% and 125%-200% under climate change in the Shihmen Reservoir catchment and the Xindian River catchment, respectively, while landslides triggered by extreme-level typhoons (top 5%) will increase by 8% and 77%, respectively. Still, the uncertainty of landslide-area characteristics caused by extreme typhoon events is slightly high, indicating that we need to include more possible scenarios in future work. © 2020 by the authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159463
Appears in Collections: 气候变化与战略
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作者单位: National Science and Technology Center for Disaster Reduction, No. 200, Sec. 3, Beixin Road, Xindian District, New Taipei City, 23143, Taiwan; Center for Spatial Information Science, The University of Tokyo, 5-1-5 Kashiwanoha Kashiwa, Chiba, 277-8568, Japan; National Research Institute for Earth Science and Disaster Resilience, Tsukuba, Ibaraki, 305-0006, Japan
Recommended Citation:
Chen Y.-M.,Chen C.-W.,Chao Y.-C.,et al. Future landslide characteristic assessment using ensemble climate change scenarios: A case study in Taiwan[J]. Water (Switzerland),2020-01-01,12(2)