CIVIC-PG Track A: Codeveloping local flood thresholds and high tide flooding predictions with community science and innovative technology

CIVIC-PG 轨道 A：与社区科学和创新技术共同开发当地洪水阈值和高潮洪水预测

• 批准号: 2228587
• 负责人: David Reidmiller
• 金额: $ 5万
• 依托单位: Gulf of Maine Research Institute
• 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: 2022-10-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2228587&HistoricalAwards=false
• 关键词: CIVIC; PG; Track; Codeveloping; local

Sea level rise is increasing the frequency of high tide flooding along the 3,500 miles of tidally influenced shoreline in Maine, and coastal communities face an urgent need to adapt. Near and long-term high tide flooding projections that combine reliable tide predictions and local observations that tie water levels to specific flood impacts (“flood thresholds”) serve as a technical foundation for community adaptation to increasing flood risk. However, sparse tide gauge coverage, unreliable tide predictions, and a lack of observation-based flood thresholds all pose significant barriers to flood adaptation planning in Maine. The Gulf of Maine Research Institute, in collaboration with US Harbors, will lead a team of civic, community, and industry partners in building social and technological infrastructure for establishing flood thresholds and improving tide predictions in three coastal Maine communities: Portland, St. George, and Boothbay. The low-cost processes piloted in this project will inform replicable practices in analogously complex coastlines with limited NOAA tide gauge data. Within Maine, localized, co-developed flood hazard and vulnerability information produced by this project will provide data and engagement foundational to climate adaptation planning questions faced by a broad array of stakeholders. The state’s economy relies on access to coastal infrastructure—and as the most rural state in the U.S.—Maine coastal communities face unique adaptation challenges due to their remoteness, isolation from central planning agencies, limited resources, and poverty. Consequently, this project fills a critical need for enabling more effective flood adaptation in coastal communities in Maine—and beyond. The approach in this research project involves installing community-owned, low-cost tide gauges using emerging water level measurement technologies. Civic and community partners will identify priority areas for installing the gauges. Collaborating university scientists will conduct use-case scenarios to evaluate the efficacy of the water level data products (e.g., tide predictions and emergency alerts) in meeting community needs. Researchers will also build community science and education programs in each community for collecting geo- and time-referenced photographic flood impact data that can be tied to water level measurements and LiDAR for the development of local flood thresholds. Finally, water level data will be used to periodically calculate harmonic constituents, generate improved local tide predictions, and estimate tidal datums. In the project’s follow-on Stage 2 submission of which this Stage 1 work prepares the project ready for quick initiation and implementation, the team will leverage the scalable methodology and civic and community partnerships built in Stage 1 to expand to 20 communities and adapt existing statistical methodologies for developing high tide flooding projections for integration into community planning activities. This project is in response to the Civic Innovation Challenge program—Track A. Living in a changing climate: pre-disaster action around adaptation, resilience, and mitigation—and is a collaboration between NSF, the Department of Homeland Security, and the Department of Energy.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.

海平面上升正在增加缅因州 3,500 英里受潮汐影响的海岸线发生高潮洪水的频率，沿海社区迫切需要适应结合可靠的潮汐预测和当地观测的近期和长期高潮洪水预测。将水位与特定洪水影响（“洪水阈值”）联系起来，可以作为社区适应日益增加的洪水风险的技术基础，然而，验潮仪覆盖范围稀疏、潮汐预测不可靠以及缺乏基于观测的洪水阈值。所有这些都对缅因州的洪水适应规划构成了重大障碍。缅因湾研究所将与美国港口合作，领导一个由公民、社区和行业合作伙伴组成的团队，为洪水建立社会和技术基础设施，确定阈值并改进潮汐预测。在缅因州的三个沿海社区：波特兰、圣乔治和布斯贝，该项目试点的低成本流程将为在缅因州内有限的 NOAA 潮汐测量数据的类似复杂海岸线上提供可复制的做法。该项目产生的漏洞信息将为广泛的利益相关者面临的气候适应规划问题提供基础数据和参与，该州的经济依赖于沿海基础设施的使用，并且作为美国最农村的州，缅因州沿海社区由于地处偏远而面临着独特的适应挑战。由于与中央规划机构隔绝、资源有限和贫困，该项目满足了缅因州及其他地区沿海社区更有效地适应洪水的迫切需求。该研究项目的方法包括安装社区拥有的低成本设施。使用新兴水位测量的潮汐计公民和社区合作伙伴将确定安装测量仪的优先领域，合作大学科学家将进行用例场景，以评估水位数据产品（例如潮汐预测和紧急警报）在满足社区需求方面的功效。还在每个社区建立社区科学和教育计划，以收集地理和时间参考的洪水影响摄影数据，这些数据可以与水位测量和激光雷达联系起来，以制定当地洪水阈值。计算谐波在项目的后续第二阶段提交中，第一阶段工作为项目的快速启动和实施做好准备，团队将利用可扩展的方法以及公民和社区合作伙伴关系。该项目位于第一阶段，旨在扩展到 20 个社区，并采用现有的统计方法来制定高潮洪水预测，以纳入社区规划活动。气候：围绕适应、复原力和缓解的灾前行动，是 NSF、国土安全部和能源部之间的合作。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准。