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引起了纽约市和东海岸其他沿海城镇的灾难结果。热带风暴的残留物带来了巨大的降雨，而热带风暴奥菲利亚的残余物使大部分地区被淹没，运输系统关闭，滞留学校和财产受损。从9月28日星期四到9月29日（星期五），纽约市的部分地区的降雨量超过8英寸。由于这些洪水事件的结果，诸如高水位标记之类的可腐烂数据表明，不同社区的洪水水平高度敏感，需要及时的响应，以便及时保存以进行未来的研究。迫切需要收集和策划数据，以了解和分析社区特别服务欠缺的漏洞。该项目的目的是收集严重洪水泛滥的社区中的易腐烂数据，包括洪水后洪水泛滥事件的高水标记以及预测和记录的降水量，以帮助利益相关者评估其未来洪水事件和缓解计划的设计指南。还将收集和策划来自卫星图像，天气雷达图像，道路摄像机以及人们在社交媒体帖子中的回应的多模式数据，还将收集和策划在建立时间流失和高效率可视化工具中的潜在使用，以帮助利益相关者和社区帮助更有效的更有效的范围内的数据，并探索更有效的数据量表，并探索更有效的数据量表，并探索了有效的数据质量质量，以实现良好的质疑，以验证良好的质量良好的质疑，以实现良好的范围，并提供了良好的范围。极端气候下的社区环境可持续性。在交互式地图中代表和解释这些数据可以为利益相关者和高危社区提供易于消化的信息，以分析风险并制定策略以制定更有效的缓解计划。 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 emergence, 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该奖项反映了NSF的法定使命，并通过使用基金会的知识分子优点和更广泛的影响审查标准来评估，以诚实的支持。