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.

该项目调查沿海洪水与人类迁徙之间的关系。该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识别洪水易发区域，并指导开发用户友好的洪水信息实时网站。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移民可能如何展开的新见解。这些信息可用于制定战略，在气候变化时支持有弹性、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，但关于个人和社区如何应对更频繁的小规模洪水，仍然存在许多问题。期间夹杂着极端风暴。较小的洪水，例如由特别高的潮汐引起的洪水，很难被发现，限制了我们对人们如何经历和应对此类事件的理解。该项目部署了一种新颖的传感器网络来检测各种规模的洪水。传感器数据将用于评估洪水对迁徙意图和行为的影响。家庭调查提供有关移民意图、能力以及做出移民决定的社会、心理和财务背景的信息。迁移行为是使用管理记录来衡量的。总体而言，该项目扩展了有关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点和更广泛的影响审查进行评估，被认为值得支持标准。

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