SCC-PG: Big Island Drink Smart

SCC-PG：大岛智能饮料

• 批准号: 1952263
• 负责人: Karen Pellegrin
• 金额: $ 15万
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1952263&HistoricalAwards=false
• 关键词: SCC; PG; Big; Island; Drink

Individual water systems, most common in rural areas and used by at least 15% of the US population, are a growing health threat. Rural communities face greater risk of contaminated drinking water from sources that include agricultural chemicals and farm animals, but little is known about the extent of the risk or potential approaches to reduce the risk. Rural Hawaii County (also known as the “Big Island”) is dependent on unregulated individual water systems (e.g., rainwater catchment and wells) and also has the highest rate of cesspool use in Hawaii, a known risk to nearby individual water systems. This project seeks to improve the safety of rural drinking water by piloting advanced testing methods to screen residential samples across the Big Island. Environmental, health, and data scientists at the University of Hawaii at Hilo, located on the Big Island, will engage community partners in the pilot research process to identify potential risks from these individual drinking water systems and to make plans for more extensive research. These advancements will help rural communities across the US and around the world improve the safety of their drinking water. Big Island Drink Smart (BIDS) proposes pilot data collection to identify potential risks in residential drinking water across rural Hawaii County, focusing on unregulated individual water systems (e.g., rainwater catchment and wells). The long-term objective of BIDS is to reduce risk from drinking water on the Big Island through development of new consumer-friendly and cost-effective smart technologies that support risk assessment and decision-making. In collaboration with community partners, an island-wide survey of water system practices, smart technology use and attitudes, and community culture will be conducted. Additionally, drinking water from 20 households from areas suspected to be at higher risk will be sampled and tested for standard drinking water parameters, e.g., fecal coliforms, Escherichia coli, and nitrates, for presence of locally important pathogens (e.g., the parasite Angiostrongylus cantonensis), and for chemical contaminants using novel suspect screening and non-targeted analysis methods developed by EPA researchers. Information regarding the location of each residence, along with water system type and maintenance will also be documented. UH Hilo faculty experts in spatial data analysis, computational chemistry, statistics, and artificial intelligence will use the pilot data to plan more rigorous sampling methods and analyses for the integrative research grant proposal. The project will make significant scientific contributions in the identification of biological and chemical risks in drinking water in this rural, tropical community. BIDS will also expand opportunities for students to engage in locally relevant problems of science, a recommended approach to inspiring rural youth into STEM education and careers.This project is jointly funded by Smart and Connected Communities program and the Established Program to StimulateCompetitive Research (EPSCoR).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.

个人供水系统在农村地区最常见，至少有15%的美国人口使用，这是一个日益严重的健康威胁。农村社区面临着来自农业化学品和农场动物等来源的污染饮用水的更大风险，但对风险的程度或降低风险的潜在方法知之甚少。农村夏威夷县（也被称为"大岛"）依赖于不受管制的个人供水系统（例如，雨水收集和威尔斯），也有最高的比率，在夏威夷，一个已知的风险，附近的个别水系统。该项目旨在通过试行先进的测试方法，在大岛各地筛选住宅样本，改善农村饮用水的安全。位于大岛的夏威夷大学希洛分校的环境、健康和数据科学家将在试点研究过程中与社区合作伙伴合作，以确定这些饮用水系统的潜在风险，并制定更广泛的研究计划。这些进步将帮助美国和世界各地的农村社区改善饮用水安全。大岛智能饮用水（BIDS）提出了试点数据收集，以确定整个农村夏威夷县居民饮用水的潜在风险，重点是不受管制的个人供水系统（例如，雨水集水区和威尔斯）。BIDS的长期目标是通过开发支持风险评估和决策的新的消费者友好型和具有成本效益的智能技术来降低大岛饮用水的风险。将与社区伙伴合作，在全岛范围内对供水系统做法、智能技术的使用和态度以及社区文化进行调查。此外，将对来自疑似高风险地区的20户家庭的饮用水进行采样，并检测标准饮用水参数，例如，粪大肠菌群、大肠杆菌和硝酸盐，是否存在局部重要病原体（例如，寄生虫广州管圆线虫），并使用EPA研究人员开发的新型可疑筛选和非靶向分析方法对化学污染物进行检测。有关每个住宅的位置，沿着水系统类型和维护的信息也将被记录下来。UH Hilo的空间数据分析，计算化学，统计学和人工智能方面的专家将使用试点数据来规划更严格的采样方法和分析，用于综合研究资助提案。该项目将在确定这一热带农村社区饮用水中的生物和化学风险方面做出重大科学贡献。BIDS还将扩大学生参与当地相关科学问题的机会，一个鼓励农村青年进入STEM教育和职业的推荐方法。该项目由智能和互联社区计划和刺激竞争力研究的既定计划（EPSCoR）联合资助。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的评估被认为值得支持。影响审查标准。