NSF Convergence Accelerator Track K: Passive Samplers for Equitable Monitoring of Drinking Water Quality

NSF 融合加速器轨道 K：用于公平监测饮用水质量的被动采样器

• 批准号: 2344232
• 负责人: Daniel Giammar
• 金额: $ 65万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-15 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2344232&HistoricalAwards=false
• 关键词: NSF; Convergence; Accelerator; Track; Passive

The current framework for monitoring drinking water quality is insufficient for equitably identifying and managing well-established and emerging contaminants. Gaps in the current framework are inequitable with under-resourced and minority populations often receiving drinking water with insufficient monitoring. The project will address these gaps by developing an innovative new monitoring tool based on point-of-use water filters. The project will create knowledge and understanding to advance equitable water solutions through the convergence of expertise in water treatment, microbiology, analytical chemistry, groundwater hydrology, social work, and entrepreneurship. The project will have broad societal benefits of improving water quality and equity at a nationwide scale. The project will recruit participants from diverse backgrounds through programs at two universities and several non-academic partners, and the results will reach a broad audience through education, outreach, and dissemination activities. The goals of the project are to: (1) coalesce a multidisciplinary team of university and non-academic partners to develop a new passive water quality monitoring tool based on POU filters; (2) identify use-inspired research needs for water quality monitoring; (3) co-design a research study and technology development plan with non-academic partners; and (4) test the proof-of-concept of using POU filters to monitor metals, per- and polyfluorinated alkyl substances (PFAS), agricultural chemicals, and opportunistic pathogens in drinking water. These goals will be pursued in a convergent research approach that uses team science and human-centered design. The project team will complete the innovation curriculum. With a broad set of stakeholders the team will co-design a research plan and a technology development plan. The proof-of-concept of the new monitoring approach will be evaluated in laboratory experiments with realistic water compositions that assess the accumulation, recovery, and quantification of a range of chemical and microbiological contaminants.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.

当前监测饮用水质量的框架不足以公平地识别和管理建立良好的污染物。 当前框架中的空白是不平等的，资源不足和少数族裔通常会接受饮用水，并且监测不足。 该项目将通过基于使用点滤器开发创新的新监控工具来解决这些差距。 该项目将通过水处理，微生物学，分析化学，地下水水文学，社会工作和企业家精神的专业知识的融合来创造知识和理解，以提高公平的水解决方案。 该项目将在全国范围内提高水质和公平性方面具有广泛的社会利益。 该项目将通过两所大学和几个非学术伙伴的课程招募来自不同背景的参与者，结果将通过教育，外展和传播活动吸引广泛的受众。 该项目的目标是：（1）合并一个大学和非学术合作伙伴的多学科团队，以开发基于POU过滤器的新的被动水质监测工具； （2）确定水质监测的使用启发的研究需求； （3）与非学术伙伴共同设计研究和技术发展计划； （4）测试使用POU过滤器监测金属，人均和多氟化烷基物质（PFA），农业化学物质和机会性病原体的概念证明。 这些目标将采用一种融合的研究方法来实现，该研究方法使用团队科学和以人为本的设计。 项目团队将完成创新课程。 借助大量的利益相关者，团队将共同设计研究计划和技术开发计划。 新监测方法的概念概念将在实验室实验中评估，并具有逼真的水组成，以评估一系列化学和微生物污染物的累积，恢复和量化。这项奖项反映了NSF的法定任务，并已通过该基金会的知识分子优点和广泛的影响来评估NSF的法定任务，并被认为是值得的。