Collaborative Research: Sustainable Water Infrastructure for Adapting to Coastal Climate Change

合作研究：适应沿海气候变化的可持续水基础设施

• 批准号: 2113984
• 负责人: Mark Merrifield
• 金额: $ 15万
• 依托单位: University of California-San Diego Scripps Inst of Oceanography
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2113984&HistoricalAwards=false
• 关键词: Collaborative; Research; Sustainable; Water; Infrastructure

This collaborative project seeks to advance the sustainability and resilience of coastal communities against foreseeable impacts of climate change, such as intensified precipitation, sea-level rise (SLR), and SLR-driven groundwater rise. The central hypothesis is that sustainable and resilient infrastructure to manage water supply and flooding in coastal areas requires informed decisions aimed at (i) enhancing sustainability by balancing the local water budget through decentralization and (ii) enhancing resilience against compound flooding in which precipitation may coincide with other inundation sources. Projections of SLR impacts increasingly will need to consider the flooding associated with the interconnections between SLR and shallow coastal aquifers, as well as expected compound flooding under typical precipitation events. Therefore, this project will establish a mechanistic framework to analyze important stressors to water infrastructure, with a focus on disadvantaged communities, and it will develop a decentralized model to enhance their sustainability and resilience.The project aims to systematically understand the impacts of frequent and longer timescale flooding events on water infrastructure systems, and explore the sustainability benefits of decentralized infrastructure to mitigate the compound inundation impacts in which precipitation coincides with other inundation sources. The project team will employ a Life Cycle Assessment (LCA) technique and couple it with distributed hydrologic modeling informed by groundwater table observations. A comprehensive LCA framework will be informed by merging approaches from hydrology and data sciences to forecast the response of water infrastructure systems to future climate change stressors. Because the success of decentralized systems heavily relies on understanding barriers that communities face in system implementation and operation, this project seeks to advance sustainability assessment of infrastructure by incorporating the needs of communities. Additionally, the project team aims to actively engage students from underrepresented groups through recruiting programs with Maximizing Access to Research Careers (MARC) and the Initiative for Maximizing Student Development (IMSD) at San Diego State University (SDSU), an Hispanic Serving Institution (HSI). This project will train 1 PhD and 2 undergraduate students, each of which will be engaged in performing the project and presenting the outcomes to disseminate the knowledge. The PhD student will be recruited to the Joint Doctoral Program (JDP) between SDSU and UCSD (University of California, San Diego) to be able to systematically benefit from the research, education and advising resources of the two institutions. Furthermore, the project will include K-12 student engagement, where the project team will deliver workshop modules on decentralized infrastructure for the SDSU Pre-College Institute’s STEM Exploration Day, an annual event for over350 underrepresented middle/high school students to engage with STEM disciplines.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.

该合作项目旨在提高沿海社区的可持续性和抵御能力，以应对气候变化的可预见影响，例如降水加剧、海平面上升（SLR）和SLR驱动的地下水上升。中心假设是，管理沿海地区供水和洪水的可持续和有弹性的基础设施需要明智的决策，旨在（i）通过权力下放平衡当地水预算来增强可持续性，以及（ii）增强对降水可能与其他洪水源同时发生的复合洪水的抵御能力。 SLR 影响的预测将越来越需要考虑与 SLR 和浅海沿海含水层之间的互连相关的洪水，以及典型降水事件下预期的复合洪水。因此，该项目将建立一个机制框架来分析水基础设施的重要压力源，重点关注弱势社区，并开发分散模型以增强其可持续性和复原力。该项目旨在系统地了解频繁且较长时间范围的洪水事件对水基础设施系统的影响，并探索分散基础设施的可持续性效益，以减轻复合洪水 降水与其他洪水源同时发生的影响。项目团队将采用生命周期评估（LCA）技术，并将其与地下水位观测提供的分布式水文模型结合起来。综合的 LCA 框架将通过融合水文学和数据科学的方法来预测水基础设施系统对未来气候变化压力的响应。由于去中心化系统的成功在很大程度上依赖于了解社区在系统实施和运营中面临的障碍，因此该项目力求通过纳入社区的需求来推进基础设施的可持续性评估。此外，项目团队旨在通过最大限度地获得研究职业机会 (MARC) 和圣地亚哥州立大学 (SDSU)（西班牙裔服务机构 (HSI)）的最大化学生发展计划 (IMSD) 的招聘计划，积极吸引来自代表性不足群体的学生。该项目将培养 1 名博士生和 2 名本科生，每位学生将参与执行该项目并展示成果以传播知识。博士生将被招募加入圣地亚哥州立大学和加州大学圣地亚哥分校（加州大学圣地亚哥分校）之间的联合博士项目（JDP），以便能够系统地受益于两所机构的研究、教育和咨询资源。此外，该项目将包括 K-12 学生参与，项目团队将为 SDSU 预科学院的 STEM 探索日提供有关去中心化基础设施的研讨会模块，这是一项年度活动，为超过 350 名代表性不足的中学生/高中生参与 STEM 学科。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和知识进行评估，被认为值得支持。 更广泛的影响审查标准。