RAPID: Investigating the Triggers of the 2023 Wrangell, Alaska Landslides

RAPID：调查 2023 年阿拉斯加兰格尔山体滑坡的诱因

• 批准号: 2421234
• 负责人: Margaret Darrow
• 金额: $ 4.8万
• 依托单位: University of Alaska Fairbanks Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2421234&HistoricalAwards=false
• 关键词: RAPID; Investigating; Triggers; 2023; Wrangell

The community of Wrangell, Alaska experienced two landslides on the night of November 20, 2023, during a storm event accompanied by high winds (~70 mph) at higher elevations. Both landslides initiated on steep, forested slopes; the 11-Mile Slide killed six people and cut off power, telephone landlines, and access to about 75 homes, while the Middle Ridge Slide initiated at a switchback of a gravel road. The team of investigators on this RAPID project hypothesize that 1) the high winds combined with moderate rainfall of the November 2023 storm triggered the Wrangell landslides, and 2) the presence of a gravel road affected the extent and trajectory of the Middle Ridge Slide. The team's primary objective is to capture the ephemeral data from these landslides to determine their initiation mechanisms and processes, soil thickness, and the role that trees and infrastructure played. What is learned from analysis of the data will inform the development of early warning systems for communities throughout Southeast Alaska. A post-data collection workshop will provide the Wrangell community with a greater understanding of local geology and landslide mechanisms, and an opportunity to guide the direction of future early warning systems and/or landslide event response.The investigators will capture field data that can be incorporated into landslide models, thereby constraining input parameters with on-the-ground measurements to allow for back analysis of these landslide events. While previous research has established correlations among landslides, forest cover, slope angle, and weather events, the work was done at lower spatial resolution; this RAPID research will collect site-specific data (including surficial and bedrock geology, forest characteristics, landslide geometry, and storm characteristics) necessary to: evaluate existing landslide models; understand initiation mechanisms; and determine if wind variables should be incorporated with precipitation and hydrologic observations for landslide prediction models. Results from field work will be incorporated into a statewide landslide inventory, and provide high-resolution data on local surficial and bedrock geology. Cost data on the response to these landslides will be combined with similar data obtained during the December 2020 landslides in Haines, Alaska, providing necessary information for emergency managers in small communities throughout Southeast Alaska.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.

在2023年11月20日晚上，阿拉斯加朗格尔（Wrangell）社区经历了两次滑坡，在一次暴风雨活动中，伴随着高海拔高度的大风（约70 mph）。两种滑坡都在陡峭的森林斜坡上发起。这款11英里的滑梯杀死了6人，切断了电力，电话座机和大约75户房屋，而中脊滑梯则在碎石路的折回端启动。关于这个快速项目的调查人员团队假设1）大风与2023年11月的降雨相结合，风暴触发了wrangell山地滑坡，以及2）存在碎石路的存在影响了中脊滑梯的程度和轨迹。该团队的主要目标是从这些滑坡中捕获短暂的数据，以确定其启动机制和过程，土壤厚度以及树木和基础设施扮演的角色。 从对数据的分析中学到的内容将为整个阿拉斯加东南部社区的预警系统开发。 DATA后的收集研讨会将为Wrangell社区提供对当地地质和滑坡机制的更多了解，并有机会指导未来的预警系统和/或滑坡事件响应的方向。调查人员将捕获可将现场数据纳入滑坡模型，从而将输入参数限制为实地测量值，从而允许在地面进行测量，以允许在地面上进行这些陆地分析。虽然先前的研究已经建立了滑坡，森林覆盖，坡度和天气事件之间的相关性，但该工作是在较低的空间分辨率上完成的。这项快速研究将收集特定地点数据（包括表面和基岩地质，森林特征，滑坡几何形状和风暴特征），以评估现有的滑坡模型；了解启动机制；并确定是否应与降水量和水文观察结果合并到滑坡预测模型。现场工作的结果将纳入全州范围的滑坡库存中，并提供有关局部表面和基岩地质学的高分辨率数据。关于这些滑坡的反应的成本数据将与2020年12月在阿拉斯加海恩斯（Haines）的滑坡上获得的类似数据相结合，为阿拉斯加东南部东南部小社区的应急管理者提供必要的信息。该奖项反映了NSF的法定任务，并通过使用该基金会的知识优点和广泛的范围来评估NSF的法定任务，并被认为是值得的支持。