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.

气候变化对沿海城市和港口面临重大挑战。在未来几十年中，沿海城市将与海平面上升，风暴强度的增加，温暖的水域，降水变化，对水质的威胁以及沿海海洋生态系统的转移。对于缅因州波特兰等工业化城市，被选为试点地点，这是管理现代港口复杂的社会经济结构的补充。这项研究提供了一种新颖的方法，涉及用于部署沿海科学，高分辨率建模和直接社区参与的方法，以使波特兰等沿海城市受益，以提高社区弹性。它涉及一种新颖，全面的沿海流体动力模型的工作，该模型将海岸线和海底的空气和水温，盐度，风，电流，特征以及其他相关参数整合在一起。但是，要使沿海城市受益，模型必须链接并反映社区需求，因为获取数据是不够的。知情的决策和社区的韧性取决于在空间和临时量表上以易于消化，准确，透明，易于访问和有用的方式对决策者重要的信息。缅因州波特兰是一个小型沿海城市，拥有充满活力的滨水区和复杂的港口运营。由于其规模相对较小，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整合到地方治理中的理想测试场。这项工作的目标是建立和验证波特兰港的城市海洋模型，从一开始就到城市基础设施和社区需求。这项工作的更广泛的影响包括以有用的方式为决策者，土地利用规划师和社区提供全面的包装提供关键信息，从而可以考虑港口和沿海海洋地区的当前和未来条件。这样的公用事业将有助于沿海城市评估风险并为风暴和其他危害做准备。该模型还可以用于为港口操作和紧急管理，支持漏油响应并支持沿海水质管理。该项目已经确定了三个最初的沿海管理挑战，其中流体动力模型的洞察力可以解决许多重要的公民问题：洪水风险和风暴涌动的修复和适应；水质监测和管理；和港口操作，尤其是拖放和沉积物管理。在此阶段1项目中，大学研究人员将与文化领导者，海滨企业和高危社区合作，以定义信息需求并制定建模策略来应对社区挑战。在第2阶段的后续飞行员中，该项目将开发并验证波特兰港的运营流体动力模型（基于低分辨率）模型，并进行了其他模型运行（“方案”），以回答我们公民合作伙伴确定的问题。该项目与最终用户紧密合作，将创建新颖的，新的，复杂的数据产品（例如仪表板和可视化），它们是用户友好且易于使用的，可以从城市海洋模型中提供见解，以支持本地决策。适用于该项目的方法具有扩展和翻译到其他沿海城市的潜力。通过港口运营，该项目是对公民创新挑战计划的回应 - 轨道A.生活在不断变化的气候下：围绕适应性，弹性和缓解措施的行为行动 - 是NSF，国土安全部和能源部之间的合作，这是NSF的法规和审查的综述。