RAPID: Acquisition and curation of time-sensitive field data from severely flooded neighborhoods in New York City from tropical storm Ophelia for environmental sustainability study

RAPID：从热带风暴奥菲莉亚纽约市严重洪水淹没的社区获取和管理时间敏感的现场数据，用于环境可持续性研究

• 批准号: 2402240
• 负责人: Ziqian Dong
• 金额: $ 19.97万
• 依托单位: New York Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-11-01 至 2024-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2402240&HistoricalAwards=false
• 关键词: RAPID; Acquisition; curation; time; sensitive

Recent extreme climate events have caused disastrous outcomes in New York City and other coastal towns on the east coast. Torrential rain with record-breaking intensity brought by the remnants of tropical storm Ophelia left large areas of neighborhoods flooded, transportation systems shut down, schools stranded, and properties damaged. More than 8 inches of rain fell in parts of the NYC from Thursday Sept. 28 to Friday Sept. 29. As the result of these flooding events, perishable data such as high-water marks indicating the level of flooding in different neighborhoods are highly time-sensitive and require timely response to be preserved for future study. There is an urgent need to collect and curate data to understand and analyze vulnerabilities in the communities especially underserved ones. The objective of this project is to collect perishable data in neighborhoods that were severely flooded including images of the high-water marks of flooded neighborhood post flooding events and the forecasted and recorded precipitation to help stakeholders assess their design guidelines for future flooding events and mitigation plans. Multi-modal data from satellite imagery, weather radar imagery, road cameras, as well as people’s responses in social media posts will also be collected and curated for potential future use in building time lapse and high-fidelity visualization tools to help stakeholders and communities with more informed decision making and explore more effective outreach and flood-risk communications.Documenting time-sensitive perishable data on a hyperlocal scale provides valuable data for the study of environmental sustainability of communities under climate extremes. Representing and interpreting these data in an interactive map could provide stakeholders and at-risk communities with easy-to-digest information to analyze risk and develop strategies for more effective mitigation plans. This outcome of this project will help address such questions as how New York City is prepared to respond to such weather extreme events since Hurricanes Sandy and Ida, how and when weather warnings are issued, how communities in low-lying and flood-prone areas are informed and prepared for emergency, what are the infrastructure projects in place and how to assess their effectiveness, what data was used in generating the current flood map, and are there more targeted infrastructure solutions to protect the communities.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.

最近的极端气候事件给纽约市和东海岸其他沿海城镇造成了灾难性的后果。热带风暴奥菲莉亚的残余带来了破纪录的暴雨，导致大片地区被洪水淹没，交通系统关闭，学校被困，财产受损。从9月28日星期四到9月29日星期五，纽约市部分地区的降雨量超过8英寸。由于这些洪水事件，表明不同社区洪水水平的高水位标志等易逝数据具有高度的时间敏感性，需要及时保存以供未来研究。迫切需要收集和整理数据，以了解和分析社区的脆弱性，特别是服务不足的社区。该项目的目标是收集遭受严重洪水的社区的易损数据，包括洪水事件后被洪水淹没的社区的高水位标志图像以及预测和记录的降水，以帮助利益相关者评估其未来洪水事件和减灾计划的设计指导方针。来自卫星图像、气象雷达图像、道路摄像头以及人们在社交媒体帖子中的反应的多模态数据也将被收集和整理，以供未来可能用于构建延时和高保真可视化工具，以帮助利益相关者和社区做出更明智的决策，并探索更有效的外展和洪水风险沟通。在超局部尺度上记录时间敏感的易逝数据为研究极端气候下社区的环境可持续性提供了有价值的数据。在交互式地图中表示和解释这些数据可以为利益攸关方和风险社区提供易于理解的信息，以分析风险并制定更有效的缓解计划战略。该项目的成果将有助于解决以下问题：纽约市如何准备应对桑迪和艾达飓风以来的这种极端天气事件，如何以及何时发布天气预警，低洼地区和洪水易发地区的社区如何获得信息并为紧急情况做好准备，哪些基础设施项目到位以及如何评估其有效性，在生成当前洪水地图时使用了哪些数据，是否有更有针对性的基础设施解决方案来保护社区。该奖项反映了美国国家科学基金会的法定使命，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。