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来源类型Article
规范类型其他
DOI10.1007/s11069-009-9393-0
Implementation and integrated numerical modeling of a landslide early warning system: A pilot study in Colombia.
Huggel C; Khabarov N; Obersteiner M; Ramirez JM
发表日期2010
出处Natural Hazards 52 (2): 501-518
出版年2010
语种英语
摘要Landslide early warning systems (EWS) are an important tool to reduce landslide risks, especially where the potential for structural protection measures is limited. However, design, implementation, and successful operation of a landslide EWS is complex and has not been achieved in many cases. Critical problems are uncertainties related to landslide triggering conditions, successful implementation of emergency protocols, and the response of the local population. We describe here the recent implementation of a landslide EWS for the Combeima valley in Colombia, a region particularly affected by landslide hazard. As in many other cases, an insufficient basis of data (rainfall, soil measurements, landslide event record) and related uncertainties represent a difficult complication. To be able to better assess the influence of the different EWS components, we developed a numerical model that simulates the EWS in a simplified yet integrated way. The results show that the expected landslide-induced losses depend nearly exponentially on the errors in precipitation measurements. Stochastic optimization furthermore suggests an increasing adjustment of the rainfall landslide-triggering threshold for an increasing observation error. These modeling studies are a first step toward a more generic and integrated approach that bears important potential for substantial improvements in design and operation of a landslide EWS.
主题Forestry (FOR)
关键词Landslides Early warning systems Earth observation Uncertainties Integrated modeling
URLhttp://pure.iiasa.ac.at/id/eprint/9295/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/129176
推荐引用方式
GB/T 7714
Huggel C,Khabarov N,Obersteiner M,et al. Implementation and integrated numerical modeling of a landslide early warning system: A pilot study in Colombia.. 2010.
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