CAS-Climate: The effects of chronic flooding on coastal migration

CAS-气候：长期洪水对沿海移民的影响

• 批准号: 2215195
• 负责人: Miyuki Hino
• 金额: $ 39.96万
• 依托单位: University of North Carolina at Chapel Hill
• 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: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2215195&HistoricalAwards=false
• 关键词: CAS; Climate; effects; chronic; flooding

This project investigates the relationship between coastal flooding and human migration. The study uses custom sensors to detect floods at high spatial resolution, integrating the data on flood frequency with measures of individual intentions, capacity, and actions regarding relocation. Community partners will identify flood-prone areas for the sensor network and guide the development of a user-friendly real-time website for flood information. The goal is to provide new insight on the impacts of floods on coastal communities and how migration may unfold in the future as sea levels rise. This information can be used to develop strategies that support resilient, sustainable coastal communities as the climate changes.While sea level rise is projected to dramatically reshape coastlines around the world, many questions remain about how individuals and communities will respond to more frequent minor flooding, punctuated by extreme storms. Smaller floods, such as those caused by particularly high tides, are difficult to detect, limiting our understanding of how people experience and respond to such events. This project deploys a novel sensor network to detect floods of all sizes. The sensor data will be used to assess the effects of flooding on migration intentions and behavior. Household surveys provide information on migration intentions, capacity, and the social, psychological, and financial context in which migration decisions are being made. Migration behavior is measured using administrative records. Overall, this project expands knowledge about the effects of sea level rise on coastal residents and the role of migration as a response measure.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.

这个项目调查了沿海洪灾和人类迁徙之间的关系。这项研究使用定制传感器以高空间分辨率检测洪水，将洪水频率的数据与个人意图、能力和搬迁行动的测量相结合。社区合作伙伴将为传感器网络确定洪水易发地区，并指导开发一个用户友好的洪水信息实时网站。其目标是提供关于洪水对沿海社区的影响以及未来随着海平面上升可能如何开展移民的新见解。这些信息可以用来制定战略，随着气候变化支持有弹性的、可持续的沿海社区。虽然海平面上升预计将极大地重塑世界各地的海岸线，但许多问题仍然存在，即个人和社区将如何应对更频繁的小洪水，并不时出现极端风暴。较小的洪水，如由特别高的潮汐引起的洪水，很难被检测到，这限制了我们对人们如何经历和应对此类事件的了解。该项目部署了一种新型传感器网络来检测各种大小的洪水。传感器数据将用于评估洪水对迁徙意图和行为的影响。家庭调查提供关于移民意向、能力以及作出移民决定的社会、心理和经济背景的信息。使用管理记录来衡量迁移行为。总体而言，该项目扩大了关于海平面上升对沿海居民的影响以及移民作为应对措施的作用的知识。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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

Data From the Drain: A Sensor Framework That Captures Multiple Drivers of Chronic Coastal Floods

来自排水沟的数据：捕获慢性沿海洪水的多个驱动因素的传感器框架

• DOI: 10.1029/2022wr032392
• 发表时间: 2023
• 期刊: Water Resources Research
• 影响因子: 5.4
• 作者: Gold, Adam;Anarde, Katherine;Grimley, Lauren;Neve, Ryan;Srebnik, Emma Rudy;Thelen, Thomas;Whipple, Anthony;Hino, Miyuki
• 通讯作者: Hino, Miyuki