SCC-CIVIC-PG Track A: Ocean Model Infrastructure For A Resilient Coastal City

SCC-CIVIC-PG 轨道 A：弹性沿海城市的海洋模型基础设施

• 批准号: 2228535
• 负责人: Curtis Bohlen
• 金额: $ 4.64万
• 依托单位: University of Southern Maine
• 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=2228535&HistoricalAwards=false
• 关键词: SCC; CIVIC; PG; Track; Ocean

Climate change poses significant challenges for coastal cities and ports. In coming decades, coastal cities will contend with sea-level rise, increasing storm intensity, warming waters, changes in precipitation, threats to water quality, and shifts in coastal marine ecosystem. For industrialized cities, like Portland, Maine, which is selected as a pilot location, this is in addition to managing the complex socio-economic structure of a modern port. This research provides a novel approach involving methods for deploying coastal science, high-resolution modeling, and direct community engagement to benefit coastal cities like Portland in order to improve community resilience. It involves work on a novel, comprehensive, coastal hydrodynamic model that integrates data on air and water temperature, salinity, wind, currents, features of the coastline and seafloor, and other relevant parameters. To benefit coastal cities, however, models must link to and reflect community needs because access to data is not enough. Informed decisions and community resilience depend on information at spatial and temporal scales that matter to decision-makers in ways that are easily digestible, accurate, transparent, accessible, and useful. Portland, Maine is a small coastal city, with a vibrant working waterfront and complex port operation. Because of its relatively small scale, compared to other ports like Baltimore or Los Angeles, Portland, Maine is an ideal testing ground for developing scalable methods for integrating ocean science into local governance. Goals of the work will be to build and validate an urban ocean model of Portland Harbor coupled from the start to urban infrastructure and community needs. Broader impacts of the work include providing critical information in a useful manner to decision makers, land-use planners, and the community with a comprehensive package from which current and future conditions in the port and coastal ocean area can be considered. Such a utility will help coastal cities assess risks and prepare for storms and other hazards. The model also can also be used to inform port operations and emergency management, to support oil spill response, and to facilitate coastal water quality management. The project has identified three initial coastal management challenges where insight from hydrodynamic models can address a number of important civic concerns: flood risk and storm surge remediation and adaptation; water quality monitoring and management; and port operations, especially dredging and sediment management. In this Phase 1 project, university researchers will work with municipal leaders, waterfront businesses, and at-risk communities to define information needs and develop modeling strategies to address community challenges. In the Phase 2 follow-on pilot, the project will develop and validate an operational hydrodynamic model of Portland Harbor (based on lower-resolution models that already exist) and conduct additional model runs (“scenarios”) needed to answer questions identified by our civic partners. Working closely with end-users, the project will create novel, new, sophisticated data products, like dashboards and visualizations, that are user-friendly and easy to use to deliver insights from the urban ocean model to support local decisions. The approach applied for this project has the potential for scaling and translation to other coastal cities with port operations.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.

气候变化给沿海城市和港口带来了重大挑战，沿海城市将面临海平面上升、风暴强度增加、海水变暖、降水变化、水质威胁以及沿海海洋生态系统的变化等问题。除了现代港口复杂的社会经济结构之外，这项研究还为部署沿海科学、高分辨率建模和直接技术提供了一种新颖的方法。社区参与使波特兰等沿海城市受益，以便它涉及建立一种新颖、全面的沿海水动力模型，该模型整合了空气和水温、盐度、风、海流、海岸线和海底特征以及其他相关参数的数据。模型必须与社区需求联系起来并反映社区需求，因为获得知情决策和社区复原力还取决于空间和时间尺度上的信息，这些信息对决策者来说很容易理解、准确、透明、可访问和有用。缅因州波特兰是一个小缅因州波特兰是沿海城市，拥有充满活力的工作滨水区和复杂的港口运营，与巴尔的摩或洛杉矶等其他港口相比，缅因州波特兰是开发可扩展方法以将海洋科学融入地方治理的理想试验场。这项工作的目标是建立和验证波特兰港的城市海洋模型，从一开始就与城市基础设施和社区需求相结合，包括以有用的方式向决策者、土地使用规划者提供关键信息。和社区提供全面的一揽子计划，其中包括当前和未来这种实用程序将帮助沿海城市评估风险并为风暴和其他灾害做好准备，该模型还可用于为港口运营和应急管理提供信息，以支持溢油应对。为了促进沿海水质管理，该项目确定了三个初步的沿海管理挑战，其中水动力模型的洞察力可以解决许多重要的公民问题：洪水风险和风暴潮补救和适应以及港口运营；特别是在第一阶段的疏浚和沉积物管理。在该项目中，大学研究人员将与市政领导、海滨企业和高风险社区合作，确定信息需求并制定建模策略，以应对社区挑战。在第二阶段后续试点中，该项目将开发并验证可操作的水动力模型。波特兰港的模型（基于现有的低分辨率模型），并进行额外的模型运行（“场景”），以回答我们的公民合作伙伴确定的问题，该项目将与最终用户密切合作，创建新颖、复杂的模型。数据产品，例如仪表板和可视化，用户友好且易于使用，可以从城市海洋模型中获得见解，以支持当地决策。该项目所采用的方法有可能扩展到其他拥有港口业务的沿海城市。该项目是为了响应公民创新挑战计划 - 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 - 是 NSF、国土安全部和能源部之间的合作。该奖项是 NSF 的法定使命并通过评估认为值得支持利用基金会的智力优势和更广泛的影响审查标准。