Collaborative Research: EAGER: SAI: Participatory Design for Water Quality Monitoring of Highly Decentralized Water Infrastructure Systems

合作研究:EAGER:SAI:高度分散的水基础设施系统水质监测的参与式设计

基本信息

  • 批准号:
    2120829
  • 负责人:
  • 金额:
    $ 8.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-01-01 至 2024-12-31
  • 项目状态:
    已结题

项目摘要

In this project, an iterative, collaborative framework for monitoring point of use water treatment in under­served communities is tested. This framework blends local expertise on social dynamics and water issues with project expertise in governance, water treatment, and systems modeling. This framework is co-developed with communities where residents rely on a combination of trucked­ and bottled water. Aging pipes and treatment facilities, droughts exacerbated, and contamination of water supplies all challenge America’s drinking water infrastructure. Water typically is treated at central facilities and then piped to users, but recent technological advances could enable water treatment at the point of use (e.g., a house). In theory, this approach can make water systems more resilient to extremes, reduce the need for pipes and pumping, help water systems scale up or down as populations change, and filter contaminants that existing plants cannot treat cost-effectively. However, point of use water treatment also shifts the burden of maintaining water treatment infrastructure, monitoring water quality, and governing water systems onto end users, creating new vulnerabilities for water infrastructure systems. In this project, an iterative, collaborative frame­work to stress test strategies for water quality monitoring in decentralized water treatment systems is developed to address this challenge. This research contributes to answering important questions for 21st century water infrastructure, including: (1) Under what biophysical and social conditions are decentralized water systems effective and likely to succeed? (2) What is the appropriate scale for decentralized water systems in small communities? (3) What are the barriers to water access in the US rural context?In this project an iterative, collaborative frame­work to stress test strategies for water quality monitoring in decentralized water treatment systems is developed. The stress test integrates potential challenges identified by community members and leaders in focus groups with water quality sampling and mathematical modeling of water systems. The project is carried out through a series of iterative activities: qualitative interviews, field water quality observations, water system design, first round of focus groups, water security assessment, quantitative surveys and conjoint experiment, revised water system design, and a second round of focus groups. This project concerning participatory design for water quality monitoring extends observational research on water systems and social dynamics by actively engaging the community in collaborative focus groups about the current water system and potential future water systems.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.
在该项目中,测试了一个迭代,协作的框架,用于监测服务不足社区的水处理点。该框架将有关社会动态和水问题的本地专业知识与治理,水处理和系统建模方面的项目专业知识融为一体。该框架与居民依靠卡车和瓶装水组合的社区共同开发。老化的管道和治疗设施,干旱加剧,供水的污染都挑战了美国饮用水基础设施。水通常在中央设施进行处理,然后将水送给用户,但是最近的技术进步可以在使用点(例如房屋)进行水处理。从理论上讲,这种方法可以使水系统对极端的抵抗力,减少对管道和泵送的需求,帮助水系统随着种群的变化而扩大或向下扩展,并过滤现有植物无法成本效益的污染物。但是,使用点水处理还改变了维持水处理基础设施,监测水质以及将水系统管理的燃烧,从而为水基础设施系统创造了新的漏洞。在该项目中,开发了一个迭代的协作框架,用于在分散水处理系统中进行压力测试策略,以应对这一挑战。这项研究有助于回答21世纪水基础设施的重要问题,包括:(1)在哪些生物物理和社会状况下,分散的水系统有效并可能成功? (2)小社区的分散水系统的适当量表是什么? (3)在美国农村环境中,水通道的障碍是什么?在该项目中,开发了一个迭代的,协作的框架,用于压力测试策略,以进行分散水处理系统中的水质监测。压力测试整合了由社区成员和领导者在焦点小组中确定的潜在挑战,并具有水质采样和水系统的数学建模。该项目是通过一系列迭代活动进行的:定性访谈,现场水质观察,水系统设计,第一轮焦点小组,水安全评估,定量调查和联合实验,修订的水系统设计以及第二轮焦点小组。该项目关注的是水质监测参与设计的项目,通过在协作焦点小组​​中积极吸引社区,以了解当前的供水系统和潜在的未来供水系统。该奖项反映了NSF的法定任务,并被认为是通过基金会的智力优点和更广泛的影响审查的审查标准来通过评估来通过评估来支持的。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据

数据更新时间:2024-06-01

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