EAGER: Catastrophic landslide dynamics from seismic wave inversion and satellite remote sensing

EAGER：地震波反演和卫星遥感的灾难性滑坡动力学

• 批准号: 1150072
• 负责人: Colin Stark
• 金额: $ 3.82万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1150072&HistoricalAwards=false
• 关键词: EAGER; Catastrophic; landslide; dynamics; seismic

EAGER: Catastrophic landslide dynamics from seismic wave inversion and satellite remote sensingThis proposal seeks to address the following issue: Do the seismic waves generated by catastrophic slope failure retain enough information on the forces driving a landslide to allow inference of its dynamics? The dynamics of large, fast-moving landslides are poorly understood for two reasons: (1) the physics of multi-phase sliding and granular flow is complex; (2) empirical constraints on such catastrophic failures are rare, and direct measurements of properties such as acceleration and velocity are almost non-existent. Landslide seismology has the potential to fill the data gap by making remote measurements of the dynamics of mass movement, but the field is in its infancy and fundamental questions need to be answered before major investment in it can be justified. Consequently, this project is focused on a proof of concept of the fundamental methodology behind landslide seismology. The project aims to develop a method for inverting the long-period seismic waves induced during the motion of massive, rapidly accelerating landslides, and evaluate the validity of the forces, accelerations, momenta and energies inferred from it. Emphasis in this pilot study will be on analysis of catastrophic landslides described in the literature for which global broadband seismological data are available. The aim of this study is to develop the ability to detect catastrophic landslides remotely and in near-real-time. This has obvious benefits to communities engaged in natural hazards mitigation and disaster management, notably in cases where massive slope failures strike in remote areas or under conditions where communications are severely compromised. In addition, application of this tool to the global archive of broadband seismology data will enable the collection of a wealth of new information on catastrophic landslide dynamics, which will serve a wide range of science and engineering communities concerned with slope instability.

该提案旨在解决以下问题：由灾难性边坡破坏产生的地震波是否保留了足够的关于驱动滑坡的力量的信息，以允许对其动力学进行推断？由于两个原因，人们对大型快速移动滑坡的动力学知之甚少：(1)多相滑动和颗粒流的物理特性很复杂；(2)对此类灾难性失效的经验约束很少，对加速度和速度等特性的直接测量几乎不存在。滑坡地震学有可能通过对大规模运动的动态进行远程测量来填补数据空白，但该领域尚处于起步阶段，在对其进行重大投资之前，需要回答一些基本问题。因此，这个项目的重点是滑坡地震学背后的基本方法的概念证明。该项目旨在开发一种方法来反演在大规模、快速加速的滑坡运动中产生的长周期地震波，并评估从中推断出的力、加速度、动量和能量的有效性。这项试验性研究的重点将放在对文献中描述的灾难性滑坡的分析上，这些文献中有全球宽带地震学数据可用。这项研究的目的是发展远程和近实时检测灾难性滑坡的能力。这对从事减轻自然灾害和灾害管理的社区有明显的好处，特别是在偏远地区发生大规模滑坡或通信严重受损的情况下。此外，将该工具应用于宽带地震学数据的全球档案将能够收集大量关于灾难性滑坡动力学的新信息，这将为广泛关注边坡不稳定性的科学和工程社区服务。