Planning: SCC-PG: Smart, Sustainable, and Equitable Green Stormwater Systems in Urban Communities
Planning: SCC-PG: Smart, Sustainable, and Equitable Green Stormwater Systems in Urban Communities
批准号:
2228035
负责人:
Virginia Smith
金额:
$14.93万
依托单位:
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
项目状态:
已结题
起止时间:
2022-10-01 至 2024-09-30
中文摘要
城市社区越来越多地将绿色雨水基础设施(GSI)纳入其流域管理计划中,以管理城市的雨水。雨水计划在科学上受到以下限制:缺乏对GSI寿命的了解,实时自适应控制如何提高性能,以及缺乏在新的GSI设计和政策中使用收集到的数据的过程。此外,没有科学可靠的方法来考虑GSI设计和规划中的社会公平。为了克服这些挑战,实现可持续的雨水管理,解决方案必须以新的方式使用其他可用的技术,这些技术必须与社区成员共同创建,并融入规划-设计-实施过程。该项目假设,这一挑战可以通过使用智能系统来应对,这些系统可以:1)为GSI创造和扩大机会,2)改善这些系统的可持续功能,3)解决社区基础设施需求和偏好,以克服不平等问题。 该规划提案的主要目标是制定一个路线图,以应对社区雨水的挑战。该项目将通过组建一个由研究人员、政府机构、社区和行业合作伙伴组成的跨学科团队的工作组(社区科学工作组)来实现这一目标,以创建一个路线图,开发一套计算机技术和工具,为城市社区设计智能、可持续、社区驱动、公平的GSI系统。这将通过不断与社区利益相关者合作来实现,以纳入偏好以及技术和社会互动(例如,GSI的共同利益)。该项目将建立渠道,以建立和参与一个项目小组,为未来的建议,有效地利用技术在城市环境中,以满足所述的社区需求。目前的项目还将探讨新兴的计算技术是否可以通过反复的利益相关者参与过程来帮助应对社区雨水挑战,这将导致城市雨水系统的新科学和计算机技术应用的新途径。该项目将扩大社区对GSI基础设施的理解和参与,增加GSI生态系统服务和社区复原力,最终改善城市环境,促进社会公平。通过紧密交织的跨学科研究和外展目标,该项目通过提供一个公平和开放的社区驱动的平台,为社会提供了一个变革性的利益,以改善城市的努力,有效地解决联邦水质和安全的需求,并建立新的前沿城市可持续发展。这个规划项目将作为一个重要的开始,以建立一个平台,以减轻社区雨水的挑战。这个奖项反映了NSF的法定使命,并已被认为是值得通过评估使用基金会的知识价值和更广泛的影响审查标准的支持。
英文摘要
Urban communities are increasingly including Green Stormwater Infrastructure (GSI) in their watershed management plans to manage stormwater in cities. Stormwater programs are scientifically limited by a lack of knowledge of the longevity of GSI, how real-time adaptive control can improve performance, and lack of process for using collected data in new GSI designs and policy. Further, there is no scientifically robust method to consider social equity in GSI design and planning. To overcome these challenges, and achieve sustainable stormwater management, solutions must use other available technologies in new ways that are co-created with community members woven into the planning-design-implementation process. The project hypothesizes that this challenge can be met using smart systems that can: 1) create and expand opportunities for GSI, 2) improve the sustainable function of these systems, and 3) address community infrastructure needs and preferences to overcome issues of inequity. The main objective of this planning proposal is to develop a roadmap to combat the community-stormwater challenge. This project will accomplish this by forming a task force, Community Science Work Group, of a cross-disciplinary team of researchers, government agencies, community and industry partners to create a roadmap to develop a set of computer technologies and tools to design smart, sustainable, community driven, equitable GSI systems for urban communities. This will be accomplished through continuously engaging with community stakeholders to incorporate preferences and technical and societal interactions (e.g., GSI co-benefits) at all levels. This project will establish channels to build and engage a project team for a future proposal to effectively use technology in urban environments to respond to the stated community needs. This current project will also explore if emerging computing technologies can help meet community-stormwater challenges through an iterative stakeholder engagement process, which would lead to new science in urban stormwater systems and a new avenue for application of computer technology. This project will broaden community understanding and engagement in GSI infrastructure, increase GSI ecosystem services and community resilience, and ultimately improve the urban environment and contribute to social equity. Through tightly intertwined cross-disciplinary research and outreach goals, this project provides a transformative benefit to society by providing a fair and open community driven platform to improve cities’ efforts to effectively address federal water quality and safety needs and establish new frontiers for urban sustainability. This planning project will serve as a vital start to build a platform to alleviate the community-stormwater challenge.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.
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