SCC-CIVIC-PG Track A: Human-centric, Data-driven Coastal Flood Resilience Strategies for Economically Disadvantaged Communities on Long Island

SCC-CIVIC-PG 轨道 A：针对长岛经济弱势社区的以人为本、数据驱动的沿海防洪策略

• 批准号: 2228490
• 负责人: Ali Farhadzadeh
• 金额: $ 5万
• 依托单位: SUNY at Stony Brook
• 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 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2228490&HistoricalAwards=false
• 关键词: SCC; CIVIC; PG; Track; Human

This Civic Innovation Challenge (CIVIC) research has a focus of developing a community-centric, hybrid modeling approach for coastal flooding mitigation planning. Combining state-of-the-art, high-resolution flood modeling with community engagement, the development of optimal mitigation strategies that are informed by the needs of the community, as they define them, will be enabled. By expanding the scope of the factors considered in the modeling process, its realism will be improved, enhancing the planning capacity of, and the buy-in from, the local community. In close collaboration with a Long Island, New York coastal community and the Suffolk County planning department, community stakeholders will be engaged in collecting and generating data on key socio-economic characteristics and behavioral propensities of the community. Employing a suite of social scientific techniques, these data will be used to predict the social and behavioral responses to extreme flooding events and potential policy interventions. The predicted responses will be fed back into the model to enable a more holistic assessment of the mitigation strategies. The project will provide residents, policymakers, and other stakeholders with powerful new tools to both better assess the impact of future extreme events and determine the optimal adaptation and mitigation strategies. This inclusive modeling approach can be applied to other communities, tailoring optimal engineering solutions to their needs and as a result, enhancing the equity and effectiveness of engineering solutions and municipal planning for flood mitigation and adaptation.The novelty of this project is its community-centric simulation-based approach for assessing risks to infrastructure, properties, and local businesses on coastal flood plains due to extreme weather events. Specifically, this project will develop a physics-informed community-scale high-fidelity computer model for quantitative assessment of these risks and will implement mitigation strategies informed by the model that have been co-produced with the local community, considering the implications for local businesses. In addition to traditional inundation-depth information, the project will enhance the current flood prediction capabilities by including other flood-related factors such as erosion and damage to infrastructure. The robust process of engaging with the local community and decision makers, used to refine and parameterize the model to better address the needs of the community and consider their behavioral responses, will help further the goals of environmental justice and socioeconomic equity. Such an approach is unique and innovative. It has the potential to save substantial costs while improving the quality of life for the ~40 percent of the nation’s total population who live in coastal counties.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.

这项公民创新挑战 (CIVIC) 研究的重点是开发一种以社区为中心的混合建模方法，用于沿海洪水缓解规划。将最先进的高分辨率洪水建模与社区参与相结合，将能够制定根据社区定义的需求提供信息的最佳缓解策略。通过扩大建模过程中考虑的因素范围，其真实性将得到提高，从而增强当地社区的规划能力和认可度。社区利益相关者将与纽约长岛沿海社区和萨福克县规划部门密切合作，收集和生成有关社区关键社会经济特征和行为倾向的数据。这些数据将采用一套社会科学技术来预测对极端洪水事件的社会和行为反应以及潜在的政策干预措施。预测的响应将反馈到模型中，以便对缓解策略进行更全面的评估。该项目将为居民、政策制定者和其他利益相关者提供强大的新工具，以更好地评估未来极端事件的影响并确定最佳的适应和缓解策略。这种包容性的建模方法可以应用于其他社区，根据他们的需求定制最佳的工程解决方案，从而提高防洪和适应工程解决方案和市政规划的公平性和有效性。该项目的新颖之处在于其以社区为中心的基于模拟的方法，用于评估极端天气事件对沿海洪泛区基础设施、财产和当地企业的风险。具体来说，该项目将开发一个基于物理的社区规模高保真计算机模型，用于定量评估这些风险，并将实施根据与当地社区共同制定的模型提供的缓解策略，同时考虑对当地企业的影响。除了传统的洪水深度信息外，该项目还将通过纳入其他与洪水相关的因素（例如侵蚀和基础设施损坏）来增强当前的洪水预测能力。与当地社区和决策者合作的稳健过程，用于完善和参数化模型，以更好地满足社区的需求并考虑他们的行为反应，将有助于进一步实现环境正义和社会经济公平的目标。这种方法是独特且创新的。它有可能节省大量成本，同时提高居住在沿海县的全国总人口的 40% 的生活质量。该项目是对公民创新挑战计划——轨道 A.生活在不断变化的气候中：围绕适应、复原力和缓解的灾前行动——的回应，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，并具有 通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。