SCC-PG: Big Island Drink Smart

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，对健康的威胁越来越大。农村社区面临着来自农业化学品和农场动物等来源的饮用水受到污染的更大风险，但人们对这种风险的程度或减少风险的潜在方法知之甚少。夏威夷农村县（也被称为“大岛”）依赖于不受管制的个人供水系统（例如，雨水集水区和水井），而且在夏威夷也是粪池使用率最高的地区，这对附近的个人供水系统构成了已知的风险。该项目旨在通过试点先进的检测方法来筛选整个大岛的居民样本，从而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、卫生和数据科学家将让社区伙伴参与试点研究过程，以确定这些个人饮用水系统的潜在风险，并制定更广泛研究的计划。这些进步将帮助美国和世界各地的农村社区提高饮用水的安全性。大岛智能饮酒计划（BIDS）提出了试点数据收集方案，以确定夏威夷县农村居民饮用水的潜在风险，重点关注不受监管的个人供水系统（例如雨水集水区和水井）。bid的长期目标是通过开发新的消费者友好型和具有成本效益的智能技术来支持风险评估和决策，从而降低大岛饮用水的风险。我们会与社区伙伴合作，在全岛范围内调查供水系统的做法、智能技术的使用和态度，以及社区文化。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和标准饮用水参数测试，如粪便大肠菌群、大肠杆菌和硝酸盐，以及当地重要病原体（如寄生虫广东管圆线虫）的存在，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检测化学污染物。每个住宅的位置信息，以及供水系统类型和维护也将被记录下来。希洛大学空间数据分析、计算化学、统计学和人工智能方面的专家将利用试点数据为综合研究拨款提案规划更严格的抽样方法和分析。该项目将在确定这个农村热带社区饮用水中的生物和化学风险方面作出重大科学贡献。bid还将扩大学生参与当地相关科学问题的机会，这是一种鼓励农村青年接受STEM教育和就业的推荐方法。该项目由智能和互联社区计划和刺激竞争研究既定计划（EPSCoR）共同资助。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.