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.

该职业项目目标的综合研究和教育活动促进了对沿海慢性压力源的科学理解，例如海平面上升（SLR）及其对废水基础设施的相关可持续性影响。该项目将通过考虑潜在适应策略的影响来分析SLR引起的地下水浅滩的互连环境和社会层面。当海水升起内陆时，会发生浅滩。 Deser海水是浅淡水含水层的基础，将其向上推。这就是SLR可能会破坏地下的城市系统，距离海岸线距离公里。特别关注的是废水基础设施受SLR驱动的地下水浅滩和降水强化影响的过程。预计中断会导致下水道溢出的可能性增加，尤其是在缺乏针对地下水渗透的质量基础设施弹性的社区。 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）开发一种新颖的，双重的机器学习范式，以提高下水道镜头大数据分析的效率，以实现地下水浸润风险的系统性评估； （iv）通过开发一个相互框架来量化适应策略的可持续性，在该框架中，服务不足的利益相关者提供了要评估哪些挑战和缓解的意见，同时学习长期可持续性的影响。为了支持教育的可用性，该项目将开发开放的教育资源，从而使许多本科生在项目及其他过程中受益。它还将通过年度有关基础设施和可持续性的研讨会来吸引K-12学生和教师。此外，该项目将开发一门新课程，作为SDSU的公民和环境专业的技术上限选修课，以满足基础设施可持续性领域的PI部门的当前需求。作为西班牙裔服务机构（HSI）SDSU的教职员工，PI旨在通过现有的招聘计划来积极吸引人数不足团体的学生，以扩大参与。该项目将通过SLR的可持续性含义的研讨会与公共工程部门的工程师和规划人员联系。这项研究的发现将提交在同行评审期刊上发表，并在科学和工业会议上介绍，例如CA的非营利组织工业环境协会（IEA）的年度培训活动，该活动为工业部门提供教育，以支持NSF的智力及其在Intervertor the Intortal supperiation the Intervition Inducation supperiation the Internution Inducation the Infortion Inducation the Infortion supperiation。 标准。