CAREER: CAS-Climate: Environmental Sustainability of Combined versus Separate Sewer Systems along the U.S. West Coast

职业：CAS-气候：美国西海岸联合下水道系统与独立下水道系统的环境可持续性

• 批准号: 2239602
• 负责人: Hassan Davani
• 金额: $ 50.97万
• 依托单位: San Diego State University Foundation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2028-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2239602&HistoricalAwards=false
• 关键词: CAREER; CAS; Climate; Environmental; Sustainability

The integrated research and educational activities of this CAREER project target advancing scientific understanding of chronic stressors along the coast, such as Sea-Level Rise (SLR), and their associated sustainability implications for wastewater infrastructure. The project will analyze the interconnected environmental and social dimensions of SLR-induced groundwater shoaling by taking into account the impacts of potential adaptation strategies. Shoaling occurs when rising seawater pushes inland. The denser marine water underlies shallow freshwater aquifers, pushing them upward. Thus, SLR is likely to disrupt urban systems below the ground, for kilometers away from the coastline. Of particular focus are the processes through which wastewater infrastructure is impacted by SLR-driven groundwater shoaling and precipitation intensification. Disruptions are expected to cause an increased likelihood of sewer overflows, especially in communities that lack quality infrastructure resilient against groundwater infiltration. Communities with vulnerable and underrepresented populations are the place-based locations for study in this project.The project seeks to (i) discover to what extent SLR and precipitation intensification may result in a systemic increase of groundwater flux in coastal wastewater systems, (ii) assess sewer overflow-related eco-toxicity impacts on marginalized communities that are susceptible to a disproportionate impact; (iii) develop a novel, twofold machine learning paradigm to boost the efficacy of sewer footage big data analytics for the systemic evaluation of groundwater infiltration risks; and (iv) quantify the sustainability of adaptation strategies by developing a mutual framework where underserved stakeholders provide input into what challenges and mitigations are to be assessed, while learning longer-term sustainability implications. In support of educational affordability, this project will develop open educational resources benefiting many undergraduate students during the project and beyond. It will also engage K-12 students and teachers through yearly workshops on infrastructure and sustainability. Additionally, the project will develop a new course as a technical upper-division elective for civil and environmental majors at SDSU to fill curricular needs in PI’s department in the area of infrastructure sustainability. As a faculty member at SDSU, a Hispanic Serving Institution (HSI), the PI aims to actively engage students from underrepresented groups through existing recruiting initiatives for broadening participation. The project will engage engineers and planners in public works departments through a workshop on sustainability implications of SLR. The findings of this research will be submitted for publication in peer-reviewed journals and presented at scientific and industrial conferences, such as the annual training event of Industrial Environmental Association (IEA), a non-profit organization in CA that provides education for industrial units to facilitate environmental compliance.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.

这一职业项目的综合研究和教育活动旨在促进对沿海地区慢性应激源的科学理解，如海平面上升及其对废水基础设施的相关可持续性影响。该项目将考虑到潜在适应战略的影响，分析激光雷达引起的地下水浅化的相互关联的环境和社会层面。当上升的海水向内陆推进时，就会发生浅滩现象。较稠密的海水位于浅层淡水含水层之下，将它们向上推。因此，SLR可能会扰乱离海岸线数公里的地下城市系统。特别关注的是受SLR驱动的地下水浅化和降水强化影响废水基础设施的过程。预计中断将导致下水道溢出的可能性增加，特别是在缺乏抵御地下水渗透的优质基础设施的社区。该项目旨在(I)发现SLR和降水加剧在多大程度上可能导致沿海废水系统中地下水流量的系统性增加，(Ii)评估与下水道溢出相关的生态毒性对易受不成比例影响的边缘化社区的影响；(Iii)开发一种新的双重机器学习范式，以提高下水道样本大数据分析的有效性，用于系统评估地下水渗透风险；以及(4)通过建立一个相互框架来量化适应战略的可持续性，在该框架中，未得到充分服务的利益攸关方就需要评估的挑战和缓解措施提供投入，同时了解较长期的可持续性影响。为了支持教育负担能力，该项目将开发开放的教育资源，使项目期间和以后的许多本科生受益。它还将通过关于基础设施和可持续发展的年度研讨会吸引K-12学生和教师的参与。此外，该项目将开发一门新课程，作为SDSU土木和环境专业的技术高级选修课，以满足PI系在基础设施可持续发展领域的课程需求。作为西班牙裔服务机构(HSI)SDSU的一名教员，PI的目标是通过现有的招聘计划，积极吸引来自代表性不足群体的学生，以扩大参与。该项目将通过举办关于SLR对可持续性的影响的讲习班，让公共工程部门的工程师和规划者参与进来。这项研究的结果将被提交到同行评议的期刊上发表，并在科学和工业会议上展示，例如工业环境协会(IEA)的年度培训活动，工业环境协会(IEA)是加利福尼亚州的一个非营利性组织，为工业单位提供促进环境合规的教育。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。