SCC-IRG Track 1: Connecting coastal communities with continuous, sensor-based monitoring of water quality

SCC-IRG 第 1 轨道：通过基于传感器的持续水质监测将沿海社区连接起来

• 批准号: 2317235
• 负责人: Christopher Neill
• 金额: $ 197.42万
• 依托单位: Woodwell Climate Research Center, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2027-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2317235&HistoricalAwards=false
• 关键词: SCC; IRG; Track; Connecting; coastal

Coastal communities face large challenges monitoring water quality in multiple places and frequently enough to identify water quality problems and to document improvements following investments in programs or infrastructure that improve water quality. Traditional water quality monitoring is conducted by periodic collection of physical water quality samples. However, conditions that lead to large water quality and biological impacts (such as periods of low oxygen during heat waves or following periods of high river discharge) occur infrequently and are not well captured by existing monitoring programs that sample only periodically. This makes it hard for citizens to document problems and for managers to identify appropriate water quality actions. New continuously-recording water quality sensors now have the potential be deployed across multiple locations to provide time-series and information to better identify water quality impacts and potential solutions. Dissolved oxygen is a key water quality parameter that can now be measured with reliable, low-cost sensors. However, the transition to continuous sensor-based monitoring is complex and will require concurrent changes to the institutions that conduct monitoring, their norms and social practices, and the way the public and regulatory agencies use this new form of water quality data. This project will determine how volunteer citizen scientists respond to use of in situ recording sensors rather than grab samples, and test how volunteers respond to different procedures for deploying and interacting with sensors. The project will also test low-cost mobile platforms for deploying sensors in coastal waters. It will focus on three communities connected to water quality in the watershed of Buzzards Bay, Massachusetts: (1) local residents who live within coastal watersheds, including many who volunteer to collect water samples; (2) town officials responsible for water quality planning and regulation; and (3) state officials responsible for setting and enforcing water quality regulations. It will determine which combinations and scales for sensor deployment produce data most likely to be used and acted upon by residents, town officials, and government regulators. It will also provide knowledge on how different communities interpret and make sense of more detailed water quality data derived from sensors compared with data from traditional grab samples. Understanding this transition—both technologically and socially—will help advance the use of water and environmental sensors by the many organizations across the U.S. that conduct environmental monitoring and that might in the future deploy automated continuous environmental sensors.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.

沿海社区面临着巨大的挑战，可以监测多个地方的水质，并且往往足以确定水质问题并记录在改善水质的计划或基础设施后的改进。传统的水质监测是通过定期收集物理水质样品进行的。但是，导致水质和生物学影响很大的条件（例如热浪期间的低氧气或河流排放期之后的氧气周期）很少发生，并且仅被仅定期采样的现有监测程序捕获。这使得公民很难记录问题，并使经理无法确定适当的水质行动。现在，新的连续录制的水质传感器现在可以在多个位置部署潜力，以提供时间序列和信息，以更好地识别水质影响和潜在的解决方案。溶解的氧气是一个关键的水质参数，现在可以使用可靠的低成本传感器来测量。但是，向基于连续的传感器监控的过渡很复杂，需要对进行监控，规范和社会实践的机构以及公众和监管机构的方式使用这种新形式的水质数据。该项目将决定志愿者公民科学家如何应对使用原位记录传感器而不是获取样本，并测试志愿者如何应对与传感器部署和互动的不同程序的反应。该项目还将测试低成本移动平台，以在沿海水域部署传感器。它将重点关注与马萨诸塞州巴兹德斯湾流域相关的三个社区：（1）居住在沿海流域内的当地居民，包括许多自愿收集水样的人； （2）负责水质规划和法规的城镇官员； （3）负责设定和执行水质法规的州官员。它将确定最有可能由居民，城镇官员和政府监管机构使用和行动的传感器部署生产数据的组合和尺度。它还将提供有关不同社区如何解释的知识，并了解与传统抢劫样本的数据相比，从传感器中得出的更详细的水质数据。了解这种过渡 - 在技术上和社会上 - 将有助于推进美国许多组织进行环境监测的许多组织的使用，并且可能在将来部署自动化的持续环境传感器。该奖项反映了NSF的法定任务，并通过使用基金会的知识优点和广泛影响来评估NSF的法定任务，并以评估的方式被认为是宝贵的。