EAGER: AirU: Community Network to Understand Air Quality and Sensor Reliability

EAGER：AirU：了解空气质量和传感器可靠性的社区网络

• 批准号: 1642513
• 负责人: Kerry Kelly
• 金额: $ 9.96万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1642513&HistoricalAwards=false
• 关键词: EAGER; AirU; Community; Network; Understand

1642513 Kelly, Kerry E. This award is under NSF's topic of Public Participation in Scientific Research. The project will build on the principal investigators' (PIs) existing community partnerships, K-12 outreach program, and their network platform for low-cost air quality sensors (AirU) to engage and empower their community in understanding and addressing their city's most pressing air-quality research questions and to evaluate sensor reliability. It focuses on the Salt Lake Valley, which experiences periodic episodes of poor air quality, at times having the highest levels of particulate matter (PM) pollution in the nation. The project will bring together three communities: high-school and middle-school students who will build their own sensor package and contribute data to the network; a non-profit organization, Breathe Utah, who will develop educational curricula and bring low-cost sensors to middle schools; and a community organization, PurpleAir, which has been collecting air-quality data to understand the effects of gravel-pit operations on local air quality. The approach involves: (a) engaging the community groups to identify their most pressing air-quality research questions, (b) improving understanding of the geo-spatial and temporal resolution of air-quality metrics, (c) developing strategies to leverage citizen science in understanding sensor reliability, and (d) integrating a low-cost sensor package into the Department of Chemical Engineering's regular visits to high-schools as part of their STEM outreach efforts. The air-quality data network will continually report online air-quality parameters, including PM, NO2, and CO, and will educate the public about project progress and more broadly about local air quality with regular updates and opportunities for feedback.

1642513 Kelly，Kerry E. 该奖项是根据NSF的主题公众参与科学研究。该项目将建立在主要研究者（PI）现有的社区合作伙伴关系，K-12外展计划及其低成本空气质量传感器（AirU）网络平台的基础上，以参与并授权他们的社区了解和解决他们城市最紧迫的空气质量研究问题，并评估传感器的可靠性。它的重点是盐湖山谷，那里经历着周期性的空气质量差，有时是全国颗粒物（PM）污染水平最高的地方。该项目将汇集三个社区：高中和中学生，他们将建立自己的传感器包并向网络提供数据;一个非营利组织，犹他州，他们将开发教育课程并将低成本传感器带到中学;以及一个社区组织，PurpleAir，它一直在收集空气质量数据，以了解砾石坑作业对当地空气质量的影响。该办法包括：（a）让社区团体参与确定他们最紧迫的空气质量研究问题，（B）提高对空气质量指标的地理空间和时间分辨率的理解，（c）制定战略，利用公民科学来理解传感器的可靠性，以及（d）将低成本传感器包纳入化学工程系对高中的定期访问，作为其STEM推广工作的一部分。空气质量数据网络将持续在线报告空气质量参数，包括PM，NO2和CO，并将通过定期更新和反馈机会向公众介绍项目进展情况和更广泛的当地空气质量。

项目成果

Building Air Quality Sensors & Inspiring Citizen Scientists

构建空气质量传感器

• 发表时间: 2018
• 期刊: Chemical engineering education
• 作者: Le, K.;Tingey, K.;Becnel, T.;Giallardon, P.;Butterfield, T
• 通讯作者: Butterfield, T

WIP: Engaging Pre-college Students in Hypothesis Generation Using a Citizen Scientist Network of Air Quality Sensors

WIP：利用公民科学家空气质量传感器网络让大学预科生参与假设生成

• DOI: 10.18260/1-2--35538
• 发表时间: 2020
• 期刊: Engaging pre-college students in hypothesis generation using a citizen scientist network of air quality sensors
• 作者: Moore, James;Dailey, Matthew;Wilhelm, Zachary;Kelly, Kerry;Goffin, Pascal;Butterfield, Anthony;Wiese, Jason;Xing, Wei;Le, Katrina;Becnel, Thomas
• 通讯作者: Becnel, Thomas

Community-Based Measurements Reveal Unseen Differences during Air Pollution Episodes

• DOI: 10.1021/acs.est.0c02341
• 发表时间: 2021-01-05
• 期刊: ENVIRONMENTAL SCIENCE & TECHNOLOGY
• 影响因子: 11.4
• 作者: Kelly, Kerry E.;Xing, Wei W.;Whitaker, Ross T.
• 通讯作者: Whitaker, Ross T.

Long-term calibration models to estimate ozone concentrations with a metal oxide sensor

• DOI: 10.1016/j.envpol.2020.115363
• 发表时间: 2020-12-01
• 期刊: ENVIRONMENTAL POLLUTION
• 影响因子: 8.9
• 作者: Sayahi, Tofigh;Garff, Alicia;Kelly, Kerry E.
• 通讯作者: Kelly, Kerry E.

Long-term field evaluation of the Plantower PMS low-cost particulate matter sensors

• DOI: 10.1016/j.envpol.2018.11.065
• 发表时间: 2019-02-01
• 期刊: ENVIRONMENTAL POLLUTION
• 影响因子: 8.9
• 作者: Sayahi, T.;Butterfield, A.;Kelly, K. E.
• 通讯作者: Kelly, K. E.