CAREER: Using the Rattlesnake Ridge landslide as a natural laboratory to study repeating earthquake evolution and development of operational repeating signal detectors

职业：利用响尾蛇岭滑坡作为天然实验室来研究重复地震演化和可操作重复信号探测器的开发

• 批准号: 1848302
• 负责人: Amanda Thomas
• 金额: $ 55万
• 依托单位: University of Oregon Eugene
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1848302&HistoricalAwards=false
• 关键词: CAREER; Using; Rattlesnake; Ridge; landslide

Landslides are a significant natural hazard that threaten both human safety and infrastructure. They can cause billions of dollars of damage and thousands of deaths and injuries annually. To reduce the impact of landslides on people and infrastructure it is important to improve our understanding of landslide dynamics and the processes controlling this diversity of behaviors. This CAREER project leverages a unique seismic dataset collected along an active landslide near Yakima in Washington State, the Rattlesnake Ridge landslide. The project will detect and analyze small earthquakes that occurred as the landslide developed and use these to better understand how the landslide evolves and what drives its failure. Because the landslide occurred on land from the Yakama Nation, the project will work closely to inform the Tribal Council and others about results from this research. The project will conduct field trips for students at Heritage University and the Tribal School to understand landslides in the region. The project also supports a graduate student. The Rattlesnake Ridge landslide is a hillslope located in Union Gap, WA that has rapidly destabilized over the last few months. Cracks in the ridge were first identified in late October of 2017 and over a two month period the 3 million cubic meter mass detached from the adjacent hillside and began accelerating downhill. The future behavior of the slide is still uncertain and concerning. This project will perform a comprehensive seismic analysis of data collected from this event. The dataset is rich in small magnitude seismicity. The research plan consists of earthquake detection, location, cross-correlation to determine which events repeat, comparison of the spatiotemporal distribution of seismicity with geodetic data recording slide motion, and local precipitation. The results of this analysis will be synthesized estimate the stresses acting on the slide body and address why the Rattlesnake Ridge landslide is slowing down while other nearly-identical slides in the region have failed catastrophically. Behavior of seismicity at the slide will provide insight into how repeating earthquake sequences on tectonic faults evolve over large displacements, a proxy for long timescales. The results of the analysis will constitute a unique case study that will provide insight into landslide character and failure mechanisms helping to evaluate underlying hazard.This proposal is supported by the Geophysics program, The Tribal Colleges and Universities Program and the Prediction of and Resilience against Extreme Events (PREEVENTS) program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

山体滑坡是威胁人类安全和基础设施的重大自然灾害。它们每年可造成数十亿美元的损失和数千人的伤亡。为了减少滑坡对人类和基础设施的影响，提高我们对滑坡动力学和控制这种多样性行为的过程的理解是很重要的。这个CAREER项目利用了一个独特的地震数据集，该数据集收集了华盛顿州亚基马附近的一个活跃滑坡，即响尾蛇岭滑坡。该项目将检测和分析滑坡发展过程中发生的小地震，并利用这些地震更好地了解滑坡是如何演变的，以及导致其失败的原因。由于滑坡发生在雅卡马部落的土地上，该项目将密切合作，向部落委员会和其他机构通报这项研究的结果。该项目将为传统大学和部落学校的学生进行实地考察，以了解该地区的山体滑坡。该项目还资助了一名研究生。响尾蛇岭滑坡是位于西澳联合峡的一个山坡，在过去的几个月里迅速失去了稳定。山脊的裂缝于2017年10月下旬首次被发现，在两个月的时间里，300万立方米的质量从邻近的山坡上分离出来，并开始加速下坡。滑梯的未来行为仍然是不确定和令人担忧的。该项目将对从这次地震中收集的数据进行全面的地震分析。该数据集具有丰富的小震级地震活动性。研究计划包括地震探测、定位、相互关联以确定哪些事件重复、地震活动的时空分布与记录滑动运动的大地测量数据的比较以及当地降水。这个分析的结果将被综合，估计作用在滑坡体上的应力，并解释为什么响尾蛇岭滑坡正在放缓，而该地区其他几乎相同的滑坡却发生了灾难性的失败。滑坡处地震活动性的行为将提供对构造断层上重复地震序列如何在大位移上演变的洞察，这是长时间尺度的代理。分析的结果将构成一个独特的案例研究，将提供深入了解滑坡的特征和破坏机制，有助于评估潜在的危害。该提案得到了地球物理学计划、部落学院和大学计划以及极端事件预测和恢复能力（PREEVENTS）计划的支持。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Identification of Low‐Frequency Earthquakes on the San Andreas Fault With Deep Learning

• DOI: 10.1029/2021gl093157
• 发表时间: 2021-07
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: A. Thomas;A. Inbal;J. Searcy;D. Shelly;R. Bürgmann

Subcretionary tectonics: Linking variability in the expression of subduction along the Cascadia forearc

• DOI: 10.1016/j.epsl.2020.116724
• 发表时间: 2021-01-06
• 期刊: EARTH AND PLANETARY SCIENCE LETTERS
• 影响因子: 5.3
• 作者: Delph, Jonathan R.;Thomas, Amanda M.;Levander, Alan
• 通讯作者: Levander, Alan

Using a Dense Seismic Array to Determine Structure and Site Effects of the Two Towers Earthflow in Northern California

使用密集地震台阵确定北加州两座塔地流的结构和场地影响

• DOI: 10.1785/0220190206
• 发表时间: 2020
• 期刊: Seismological Research Letters
• 影响因子: 3.3
• 作者: Thomas, Amanda M.;Spica, Zack;Bodmer, Miles;Schulz, William H.;Roering, Joshua J.
• 通讯作者: Roering, Joshua J.

Deep long-period earthquakes generated by second boiling beneath Mauna Kea volcano

莫纳克亚火山下二次沸腾产生的深部长周期地震

• DOI: 10.1126/science.aba4798
• 发表时间: 2020
• 期刊: Science
• 影响因子: 56.9
• 作者: Wech, Aaron G.;Thelen, Weston A.;Thomas, Amanda M.
• 通讯作者: Thomas, Amanda M.