Collaborative Research: Parameterizing The Drivers and Timing of Post-Earthquake Landslides

合作研究：震后山体滑坡的驱动因素和时间参数化

• 批准号: 2050047
• 负责人: Ben Leshchinsky
• 金额: $ 51.3万
• 依托单位: Oregon State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2050047&HistoricalAwards=false
• 关键词: Collaborative; Research; Parameterizing; Drivers; Timing

This research project explores the drivers of landslides that occur after earthquakes, which currently are not well understood. Following destabilization of the terrain from earthquakes, landslides tend to occur more frequently, presenting a persistent hazard that impacts socioeconomic well-being and community recovery. While this increased landslide occurrence after earthquakes has been documented, the reasons why this phenomenon arises are poorly constrained. In the absence of physics-based insight towards this problem, we are ill-equipped to prepare and mitigate landslide hazards following seismic events, leaving our communities vulnerable at a critical time for recovery. In collaboration with partners in New Zealand, which experienced significant post-seismic landsliding in recent years, this project will create a physics-based framework to evaluate drivers and the timing of post-seismic landslides at local and regional scales. This work will be accomplished through constraining the physical mechanisms and evolving material changes that drive landslides to occur more frequently following earthquakes. Through these activities, engineers, planners, and scientists will be better equipped to design and prevent the impacts of post-earthquake landslides, enabling the more resilient design of infrastructure systems and better planning for recovery after seismic events. This project will also allow sharing lessons of direct relevance learned from recovery in New Zealand with the transportation and community planners in the US Pacific Northwest, which is overdue for a strong, subduction zone earthquake. The primary goal of this research project is to parametrize the spatiotemporal drivers of post-earthquake landslides. Evaluation of the magnitude and timing of elevated post-earthquake landslide activity is primarily limited to empirical observation from remotely-sensed data. This evolving landslide activity has been ascribed to various phenomena; however, there are no physics-based approaches to test hypotheses regarding the drivers of post-seismic landsliding, evaluate their respective influences, or provide predictive power towards assessing post-earthquake landslide hazard. This research project will establish a comprehensive physics-based platform for understanding why strong earthquakes increase subsequent landslide activity. Through these activities, we seek to (1) establish a framework for evaluating earthquake-induced hillslope damage, (2) isolate how climate, geology, seismicity, vegetation, and topography influence observed post-earthquake landslide activity, and (3) test hypothesized influences on the timescales of post-earthquake landslide activity. These activities will be performed in continued, close collaboration with GNS Science in New Zealand, who currently are leading an extensive research effort to understand and predict post-earthquake landsliding after the 2016 Kaikoura event. We will expand and complement GNS Science data collection and statistical modeling efforts by adding a geomechanics perspective and enable a formal, international exchange of knowledge. We will test a research-to-practice engagement program developed by the GNS Science social science team throughout the scientific process with the Oregon Department of Transportation, who is interested in planning for post-earthquake recovery.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.

该研究项目探讨了地震后发生的滑坡的驱动因素，目前尚不清楚。在地震中破坏地形的稳定之后，滑坡往往会更频繁地发生，从而持续危险，会影响社会经济的福祉和社区康复。尽管在记录了地震后增加了洋滑坡的发生，但这种现象出现的原因受到了很大的约束。在没有基于物理学的洞察力的情况下，我们没有能力准备和减轻地震事件后的滑坡危害，使我们的社区在恢复的关键时期很容易受到伤害。近年来，与新西兰的合作伙伴经历了重大的地震后土地滑道，该项目将创建一个基于物理的框架，以评估驱动因素和在本地和区域尺度上进行后地球后滑坡的时机。这项工作将通过限制物理机制和不断发展的材料变化来完成，这些变化使山体滑坡在地震后更频繁地发生。通过这些活动，工程师，规划师和科学家将获得更好的装备，以设计和防止地球后滑坡的影响，从而使基础设施系统的更弹性设计以及在地震事件发生后更好地恢复恢复。该项目还将允许与美国西北太平洋的运输和社区规划者共享从新西兰恢复中学到的直接相关性课程，这对于强大的，俯冲带的地震就逾期了。 该研究项目的主要目的是参数射线后滑坡的时空驱动器。评估升高后滑坡活动的幅度和时机主要仅限于远程敏感数据的经验观察。这种不断发展的滑坡活动已归因于各种现象。但是，没有基于物理学的方法来测试有关后震后滑坡驱动因素，评估其各自的影响的假设，或者提供了评估后Quake后滑坡危害的预测能力。该研究项目将建立一个基于物理的全面平台，以了解为什么强烈地震会增加随后的滑坡活动。通过这些活动，我们寻求（1）建立一个用于评估地震引起的山坡损害的框架，（2）隔离气候，地质，地震，地震性，植被和地形影响观察到的观察到的射线后滑坡活动，以及（3）测试对陆地上层次层次层次层次层次的时间表的测试影响。这些活动将与新西兰的GNS Science进行持续，密切合作进行，他们目前正在领导广泛的研究工作，以理解和预测2016年Kaikoura活动后的地球后滑道。我们将通过添加地质力学的观点并实现正式的国际知识交流来扩展和补充GNS科学数据收集和统计建模工作。我们将在整个科学进程中与俄勒冈州交通部的整个科学进程开发的实践与实践参与计划，他有兴趣计划进行地球后的恢复。该奖项反映了NSF的法定任务，并认为通过基金会的知识和更广泛的影响，通过评估来进行评估。

项目成果

Application of landslide susceptibility towards urbanization suitability zonation in mountainous settings

• DOI: 10.1016/j.ijdrr.2023.104061
• 发表时间: 2023-10
• 期刊: International Journal of Disaster Risk Reduction
• 影响因子: 5
• 作者: Bipin Peethambaran;Ben Leshchinsky

Feedback thresholds between coastal retreat and landslide activity

海岸退缩和滑坡活动之间的反馈阈值

• DOI: 10.1016/j.enggeo.2022.106620
• 发表时间: 2022
• 期刊: Engineering Geology
• 影响因子: 7.4
• 作者: Alberti, S.;Olsen, M.J.;Allan, J.;Leshchinsky, B.
• 通讯作者: Leshchinsky, B.

SlideSim: 3D Landslide Displacement Monitoring through a Physics-Based Simulation Approach to Self-Supervised Learning

SlideSim：通过基于物理的自我监督学习模拟方法进行 3D 滑坡位移监测

• DOI: 10.3390/rs14112644
• 发表时间: 2022
• 期刊: Remote Sensing
• 影响因子: 5
• 作者: Senogles, Andrew;Olsen, Michael J.;Leshchinsky, Ben
• 通讯作者: Leshchinsky, Ben