Collaborative Research: Development, Experimental Validation and Case Studies for the Next Generation of Landslide Tsunami Models for Coastal Hazard Mitigation

合作研究：用于沿海减灾的下一代滑坡海啸模型的开发、实验验证和案例研究

• 批准号: 1537232
• 负责人: James Kirby
• 金额: $ 24.5万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1537232&HistoricalAwards=false
• 关键词: Collaborative; Research; Development; Experimental; Validation

Tsunamis create major geohazards for highly populated coastal areas. Mitigating tsunami risks is important for society and requires accurate source forecasting and modeling, including non-seismic near-field sources such as Submarine Mass Failures (SMFs), which are prevalent in some areas (such as the US East Coast), and performing runup/inundation mapping using propagation models. Tsunami inundation maps can be used to develop or revise zoning plans in order to make coastal communities more resilient. The methods developed in this project will improve tsunami hazard assessment and warning from subaerial slides (originating above water level) and SMFs, and could be adopted as the new standard for such analyses, in operational tsunami hazard assessment and inundation mapping work (e.g., such as done under the auspice of the US National Tsunami Hazard Mitigation program), and in new tsunami warning systems for non-seismic near-field sources; this could ultimately save lives. The project team will collaborate with foreign partners (at the University of Marseille (France), University of Dundee (UK), and British Geological Survey (BGS, UK)) to develop, implement, and experimentally validate the next generation models for deformable landslides and resulting tsunami generation. Subaerial slides entering the water column as well as SMFs originating underwater will be considered. The project team will study a range of slide rheologies, with particular interest in dilatational granular flows and in fragmenting, blocky cohesive soil layers.te Modern computational methods such as GPGPU-based Lattice Boltzmann schemes, will also be investigated with an aim to improving model efficiency and making models able to perform faster-than-real time simulations during near-field events, in order to issue early warning. In this respect, model predictions of seafloor motion and surface wave response will be studied in light of ongoing parallel efforts on High Frequency Radar and hydroacoustic detection methodologies. In collaboration with the BGS, new models will be applied to historical landslide tsunami case studies, where tsunami impact was measured (PNG 1998, Unimak 1946, and Ritter Island 1888 events), in order to achieve both a better understanding and modeling of landslide tsunami generation, as well as developing field benchmarks that can be used for model validation.

海啸为人口稠密的沿海地区创造了主要的地沙佳。 缓解海啸风险对社会很重要，需要准确的来源预测和建模，包括非近处的近场来源，例如海底质量故障（SMFS），在某些领域（例如美国东海岸）普遍存在，以及使用传播模型进行运行/淹没映射。 海啸淹没图可用于制定或修改分区计划，以使沿海社区更具弹性。 The methods developed in this project will improve tsunami hazard assessment and warning from subaerial slides (originating above water level) and SMFs, and could be adopted as the new standard for such analyses, in operational tsunami hazard assessment and inundation mapping work (e.g., such as done under the auspice of the US National Tsunami Hazard Mitigation program), and in new tsunami warning systems for非视野近场来源；这最终可以挽救生命。该项目团队将与外国合作伙伴（法国大学（法国），邓迪大学（英国）和英国地质调查局（BGS，UK）合作，开发，实施和实验性地验证了可变形的滑坡的下一代模型，并产生了海啸。 将考虑进入水柱的亚赛幻灯片以及起源于水下的SMF。 该项目团队将研究一系列幻灯片，对扩张性颗粒流以及碎片，块状的凝聚土壤层特别感兴趣。DET，例如基于GPGPU的晶格Boltzmann方案等现代计算方法，还将调查以改进模型和在近似订单中进行订单，以提高模型的效率，以提高模型，以提高订单的订单，并在附近的订单中进行订单，以确保薪水范围内的票据宣布薪水，沃尔斯·赛车范围内的票据宣布薪水。 在这方面，将根据对高频雷达和氢声检测方法的持续平行努力进行研究的模型预测。 与BGS合作，新模型将应用于历史滑坡海啸案例研究，其中测量了海啸影响（PNG 1998，Unimak 1946和Ritter Island 1888事件），以便获得更好的理解和建模，可以对Landslide Generation进行更好的理解和建模，并可以使用该领域的bench Markbers进行验证。