Convergence Accelerator Phase I (RAISE): The Urban Flooding Open Knowledge Network

NSF融合加速器支持以团队为基础的多学科努力，以应对国家重要性的挑战，并在不久的将来展示可交付成果的潜力。 这个融合加速器第一阶段项目的更广泛的影响和潜在的社会效益是最大限度地减少美国未来城市洪水造成的经济和人类损失。洪水影响一系列相互关联的城市系统（在本项目中称为城市复合体），包括电网和交通网络、地表水和地下水、污水和饮用水系统、内陆航运和水坝以及其他系统，所有这些都与社会经济和公共卫生部门交织在一起。该项目采用融合的方法来整合这些多个相互关联的系统，并合并水文和水利工程;系统分析，优化和控制;机器学习，数据和计算机科学;流行病学;社会经济学;以及交通和电气工程的最新实践，以开发城市洪水开放知识网络（UF-OKN）。UF-OKN将汇集来自工程，计算机科学，社会科学和经济学的学术和非学术研究人员。UF-OKN的设想是通过提供信息来增强决策者和公众的能力，不仅是关于未来事件可能发生的洪水程度，而且还显示洪水事件对城市地区自然和工程基础设施的级联影响，更有效的规划和决策-洪水对城市综合体的真实的影响目前无法量化，因为许多系统虽然相互连接，但都是独立设计和管理的。因此，迫切需要建立一个开放的知识网络，以便于详细了解这些系统的相互关联性以及它们如何相互影响。第一阶段工作将填补的一个重要空白是开发一套通用的本体，用于描述和遍历城市综合体子系统之间的数据关系。第一阶段的工作将为第二阶段的生产规模UF-OKN奠定基础，但也将公开UF-OKN原型及其应用。潜在的第二阶段项目的结果将是一个功能齐全的UF-OKN，它将响应简单的英语互联网查询，并提供有关城市综合体中哪些基础设施在风暴和洪水期间将受到影响的可操作信息，促进短期和长期规划与不同决策相关的可持续性指标信息。这一成果将对研究人员、决策者和公众在如何参与城市洪水信息并采取行动方面产生潜在的变革性影响。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The NSF Convergence Accelerator supports team-based, multidisciplinary efforts that address challenges of national importance and show potential for deliverables in the near future. The broader impact and potential societal benefit of this Convergence Accelerator Phase I project is to minimize economic and human losses from future urban flooding in the United States. Floods impact a series of interconnected urban systems (referred to in this project as the Urban Multiplex) that include the power grid and transportation networks, surface water and groundwater, sewerage and drinking water systems, inland navigation and dams, and other system, all of which are intertwined with the socioeconomic and public health sectors. This project uses a convergent approach to integrate these multiple interconnected systems and merges state-of-the-art practices in hydrologic and hydraulic engineering; systems analysis, optimization and control; machine learning, data and computer science; epidemiology; socioeconomics; and transportation and electrical engineering to develop an Urban Flood Open Knowledge Network (UF-OKN). The UF-OKN will be built by bringing together academic and non-academic researchers from engineering, computer science, social science, and economics. The UF-OKN is envisioned to empower decision makers and the general public by providing information not just on how much flooding may occur from a future event, but also to show the cascading impact of a flood event on natural and engineered infrastructure of an urban area, so that more effective planning and decision-making can occur.The real impacts of flooding across the Urban Multiplex is currently unquantifiable because many of the systems, although interconnected, are independently designed and managed. Therefore, an open knowledge network that facilitates detailed understanding of the interconnectedness of these systems and how they impact each other is critically needed. An important gap that this Phase I effort will fill is the development of a common set of ontologies for describing and traversing the data relationships among Urban Multiplex subsystems. This Phase I effort will lay the groundwork for a production-scale UF-OKN in Phase II but will also make publicly available the prototype UF-OKN and its applications. The outcome of a potential Phase II project would be a fully functional UF-OKN that would respond to plain English Internet queries with actionable information on what infrastructure across the Urban Multiplex would be impacted during storms and flooding, facilitating both short-term and long-term planning with information on sustainability metrics associated with different decisions. This deliverable would be potentially transformative to researchers, decision-makers and the general public in terms of how they engage with and act upon information about urban flooding.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.