RAPID: Collaborative Research: Using the Hurricane Michael Event Layer for Developing a Paleo-Tempestite Archive at Strandplain Swales, St. Vincent Island, Florida

该项目是对佛罗里达狭长地带海岸沿着飓风迈克尔事件的快速响应研究，该海岸在2018年10月经历了这场4级风暴最严重的地貌影响。研究工作的重点是收集迈克尔飓风在佛罗里达圣约瑟夫岛和佛罗里达阿巴拉契科拉三角洲地区的海滩山脊洼地沉积的岩芯和样本。这些最近沉积的沉积物和沉积物将与建立过去约3,000年来影响美国墨西哥湾沿岸这一部分的飓风事件的可能重建有关。对收集的沉积物和地貌变化的进一步研究将有助于提供有关频率、强度和风场的详细信息（即，风暴接近的方向）的强风暴和飓风在过去。这项工作的更广泛影响包括对学生进行快速响应采样技术培训，以及提供可供沿海管理人员、居民、保险公司和政策制定者使用的有关美国墨西哥湾沿岸该地区飓风频率和强度的信息。收集的数据还可以推断人类和其他环境引起的气候变化对未来飓风的影响，并开发新的高质量代用记录，以了解过去的风暴事件。飓风迈克尔是已知袭击佛罗里达墨西哥湾沿岸的最强飓风，它提供了一个机会来研究风暴事件层（即，风暴岩）记录在滨海平原沉积物中。 这项研究将对佛罗里达圣文森特岛上的迈克尔飓风沉积物以及阿巴拉契科拉三角洲和邻近大陆湿地中的沉积物进行取样。项目目标是（1）绘制特征图（例如，厚度，粒度，主要沉积结构）的迈克尔事件层在研究区域，因为它是跨多个陆上洼地，洼地池塘，和沿海湿地表示;（2）收集和采样的核心飓风迈克尔事件层使用的程序，将保留光刺激发光签名的砂部分;以及（3）从多个来源收集辅助飓风迈克尔数据集的全面记录（即，机构和个人调查员）。目标是建立一个数据集，允许构建关键的时空参数，塑造沿海系统的形态反应，如圣文森特岛，主要风暴和各种参数，如风场，风暴潮水平，波场和沿海电流在风暴过程中如何演变。 迈克尔数据集将提供关键信息，有助于识别圣文森特记录中的古风暴岩，提高我们对飓风风暴岩中光激发光表达方式的理解，并允许校准过程地貌响应的后报模型，该模型可以重建单个古地貌，该奖项反映了NSF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。

The project is a rapid-response study of the Hurricane Michael event along the Florida Panhandle coast that experienced the most severe geomorphological impact of this high Category 4 storm in October 2018. Research will focus on collecting cores and samples from sediments deposited by Hurricane Michael on beach ridge swales of St. Joseph Island, Florida and in the area of the Florida Apalachicola Delta. These recently deposited sediments and deposits will have relevance to establishing possible reconstructions of hurricane events over the last ~3,000 years that have impacted this section of the Gulf Coast of the US. Further study of collected sediments and geomorphic changes will help provide detailed information about the frequency, intensity, and wind fields (i.e., direction of storm approach) of strong storms and hurricanes in the past. Broader impacts of the work include student training in rapid response sampling techniques and in providing information that can be used by coastal managers, residents, insurance companies and policy makers regarding the frequency and intensities of hurricanes in this part of the US Gulf Coast. The data collected may also allow inference as to the impacts of human and other environmentally-induced climate change on future hurricanes and the development of new and high-quality proxy records for understanding past storm events.Hurricane Michael, the strongest hurricane known to hit the Florida Gulf Coast, provides an opportunity to examine how a storm event layer (i.e., tempestite) is recorded in strandplain deposits. This research will sample Hurricane Michael deposits on St. Vincent Island, Florida and those in the wetlands of the Apalachicola Delta and adjacent mainland. Project objectives are to (1) map the characteristics (e.g., thickness, granulometry, primary sedimentary structures) of the Michael event layers in the study area as it is expressed across multiple subaerial swales, swale ponds, and coastal wetlands; (2) collect and sample cores of the Hurricane Michael event layer using procedures that will preserve the optically stimulated luminescence signature of the sand fraction; and (3) gather a comprehensive record of ancillary Hurricane Michael datasets from multiple sources (i.e., agencies and individual investigators). Goals are to build a dataset to allow construction of key spatio-temporal parameters shaping the morphological response of coastal systems, like St. Vincent Island, to major storms and how various parameters, such as wind field, storm surge level, wave field, and coastal currents evolved over the course of the storm. The Michael dataset will provide critical information that can aid in recognizing paleo-tempestites in the St. Vincent record, improve our understanding of how optically stimulated luminescence is expressed in hurricane tempestites, and allow calibration of hindcast models of process-geomorphological response that can reconstruct individual paleo-events.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.