PREEVENTS Track 2: Cascadia Scenario Earthquakes: Source, Path, and implications for Earthquake Early Warning

卡斯卡迪亚俯冲带是一个1200公里长的板块边界，能够承载9级大型逆冲地震，是太平洋西北部地震和海啸危险的最大来源。一个非常紧迫的问题是准确估计潜在的地面运动，因为它们可以预测地震造成的破坏，并可以指导应急反应。在卡斯卡迪亚，目前的地面运动预测并没有包括控制板块界面地震破裂的物理过程，也没有考虑到地壳中真实的三维波传播。该项目旨在通过结合基于物理的地震模型和波传播的现实估计，预测太平洋西北地区9级地震引起的强烈地面运动。预测的地面运动将用于测试目前运行的西海岸地震预警系统ShakeAlert。该项目将为当地居民提供关于可能发生的卡斯卡迪亚情景地震的最新科学信息，并帮助利益相关者做出明智的决策，以提高太平洋西北地区的地震恢复能力。该研究将促进3名早期职业女性教授、4名学生（研究生和本科生）和2名博士后研究人员之间的实质性合作。此外，它在震源、地面运动和预警社区之间建立了有效的沟通框架，以促进一种减轻地震危害的综合方法。地震地震动的预测需要对震源动力学的基本理解和对波传播路径效应的准确估计。以前对大逆冲地震的地震动预测要么依赖于没有很好地受该地区数据约束的经验关系，要么模拟波的传播，假设一定的运动破裂历史，这并不一定满足动态破裂的物理特性。此外，以前的计算严重依赖于速度模型的准确性，在这种模型中，通过弧前和沉积盆地的实际波传播并没有得到很好的体现。最后，真实的震源过程和准确的波传播是建立可靠的地震波形信息进行地震预警的必要条件。该项目将使用一种创新的三阶段方法，构建一套可能发生在Cascadia俯冲带的现实情景地震。首先，将最新的关于卡斯卡迪亚俯冲带属性的知识（例如几何形状、耦合和应力条件）纳入全动态破裂模拟中，以确定这些因素对破裂历史的影响，并构建一套9级地震的潜在破裂历史。然后将震源模型与Green？从环境地震场导出的函数，以估计太平洋西北地区主要人口中心的地面运动。最后，该项目将探讨这些地面运动对目前正在开发的地震预警算法的影响。

The Cascadia Subduction Zone is a 1200 km-long plate boundary that is capable of hosting a magnitude 9 megathrust earthquake and is the greatest source of seismic and tsunami hazard in the Pacific Northwest. One very pressing issue is accurate estimation of potential ground motions because they are a predictor of damage resulting from an earthquake and can guide emergency response. In Cascadia, current ground motion predictions do not incorporate the physical processes governing earthquake rupture on the plate interface or account for realistic 3D wave propagation in the Earth's crust. The project aims to predict strong ground motions resulting from a magnitude 9 earthquake in the Pacific Northwest by combining physics-based earthquake models and realistic estimates of wave propagation. The predicted ground motions will be used to test the currently operating version of ShakeAlert, the West Coast Earthquake Early Warning system. This project will provide state-of-the-art scientific information about possible Cascadia scenario earthquakes to local residents and help stakeholders make informed decisions to improve earthquake resilience in the Pacific Northwest. The research will facilitate substantial collaboration among three early career female professors, four students (graduate and undergraduate students), and two postdoctoral researchers. Additionally, it builds an effective communication framework between earthquake source, ground motion, and early warning communities to promote a comprehensive methodology for seismic hazard mitigation.The prediction of earthquake ground motions requires fundamental understanding of earthquake source dynamics and accurate estimation of wave propagation path effects. Previous ground motion predictions for megathrust earthquakes either rely on empirical relations that are not well constrained by data in this region or simulate wave propagation assuming a certain kinematic rupture history that does not necessarily satisfy the physics of dynamic ruptures. Moreover, previous calculations strongly rely on the accuracy of a velocity model, in which realistic wave propagation through fore-arc and sedimentary basins is not well represented. Finally, both realistic source processes and accurate wave propagation are necessary to establish reliable information in the seismic waveform for earthquake early warning. The project will construct a suite of realistic scenario earthquakes that could occur in the Cascadia Subduction Zone using an innovative three-stage approach. First, the most up-to-date knowledge of properties of the Cascadia Subduction Zone (e.g. geometry, coupling and stress conditions) will be incorporated in fully dynamic rupture simulations to determine the influence of each of these factors on rupture history and to construct a suite of potential rupture histories for a magnitude 9 earthquake. The earthquake source models will then be combined with Green?s functions derived from the ambient seismic field to estimate ground motions in major population centers in the Pacific Northwest. Finally, the project will explore the implications of these ground motions for earthquake early warning algorithms that are currently under development.