Planning: CIVIC-PG Track A: Pilot - Community Resilience through Engaging, Actionable, Timely, High-Resolution Air Quality Information (CREATE-AQI)

规划：CIVIC-PG 轨道 A：试点 - 通过参与、可操作、及时、高分辨率的空气质量信息 (CREATE-AQI) 提高社区复原力

• 批准号: 2228600
• 负责人: Kerry Kelly
• 金额: $ 5万
• 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: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2228600&HistoricalAwards=false
• 关键词: Planning; CIVIC; PG; Track; Pilot

More than forty percent of all people in the United States — over 137 million people — live in areas with unhealthy levels of air pollution due to particulate matter or ozone. Communities with poor air quality are predominately found in the Western US in underserved areas. The Western US periodically experiences the worst air quality in the nation as a result of winter-time inversions, wildfires, and dust storms. It can be difficult for individuals in these locations to limit pollution exposure based on air-quality forecasts. This is, in part, because many areas do not have air quality forecasts; and available forecasts are limited to ozone and particulate matter smaller than 2.5 microns in diameter. The forecasts also do not account for differences in terrain and air pollution sources that can lead to inaccuracies. This research enables resilience of pilot western communities by providing actionable, timely, high-resolution, air quality information on the neighborhood-scale with actionable air quality information and tools for decision makers to act on this information. This research integrates engineering innovations and community engagement by focusing on links between neighborhood-scale, automated, air quality forecasts and cost-effective, air quality measurements. It creates tools and guidance for decision makers to actively reduce short and long-term exposure to air quality hazards (i.e. ozone and particulate matter between 2.5 and 10 microns). Using cost-effective environmental sensors and smart data analysis techniques, this work empowers citizens, scientists, and policy makers to make data-driven decisions about air quality and its hazards. This is particularly relevant for under-served communities that bear a disproportionate share of air pollution environmental burdens. Broader impacts of the work not only include actionable information for improving local air quality which will benefit the health of the communities where it is employed, but also provides a rich framework for student education and sustainable job opportunities that have the potential for attracting students to fields in science, engineering, and mathematics. It also supports infrastructure and communities in Utah, which is an EPSCoR state.This research builds on existing innovations in sensing and forecasting infrastructure as well as strong civic partnerships between university researchers, the Utah Division of Air Quality, and the Utah Department of Health and Human Services. This pilot has interwoven technical, civic partnership, and team-building goals. Project deliverables include high-resolution (hourly, 4-km, horizontal resolution) and automated numerical forecasts of air pollution hazards related to ozone and air borne particulate matter in the 2.5 and 10 micron size range. The latter particles are primarily associated with winter thermal inversions, wildfires, and dust events, all of which cause serious health issues like asthma. This work will impact both urban and rural communities. The research also includes a technology development and deployment piece of novel, cost-effective, air quality sensors that are able to measure community-scale differences in the up to 10 micron-sized dust particle ranges. The data can be integrated into existing community monitoring networks. The work also provides a framework, co-developed with civic partners, that can be used by decision makers to help translate high-resolution, air quality information into action that results in the reduction of air pollution exposure to those living in western communities. If successful, the approach and technology has the potential for scaling to other locations around the nation.This project is in response to the Civic Innovation Challenge program—Track A. Living in a changing climate: pre-disaster action around adaptation, resilience, and mitigation—and is a collaboration between NSF, the Department of Homeland Security, and the Department of Energy.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.

在美国，超过40％的人（超过1.37亿人）生活在由于特定物质或臭氧而导致空气污染不健康的地区。空气质量较差的社区主要在美国西部地区在服务不足的地区发现。由于冬季倒置，野火和沙尘暴，美国西部定期经历了全国最糟糕的空气质量。这些位置的个人可能很难根据空气质量预测来限制污染暴露。这部分是因为许多领域没有空气质量预测。并且可用的预测仅限于臭氧，颗粒物的直径小于2.5微米。预测还不能说明可能导致不准确性的地形和空气污染来源的差异。这项研究通过提供可行的，及时的，高分辨率，空气质量的信息，在邻里规模上提供可行的空气质量信息，并提供可行的空气质量信息和工具，以使决策者能够对此信息采取行动，从而实现了飞行员西方社区的韧性。这项研究通过专注于社区规模，自动化，空气质量森林与经济高效的空气质量测量之间的联系来整合工程创新和社区参与。它为决策者创建工具和指导，以积极减少空气质量危害的短期和长期暴露（即臭氧和2.5至10微米之间的特定问题）。这项工作使用具有成本效益的环境传感器和智能数据分析技术，使公民，科学家和政策制定者能够就空气质量及其危害做出数据驱动的决策。这与服务不足的社区尤其重要，这些社区在空气污染环境中占据了不成比例的份额。这项工作的更广泛的影响不仅包括可行的信息，以改善当地空气质量，这将使其受雇社区的健康有益，而且还为学生教育和可持续的工作机会提供了丰富的框架，有可能吸引学生进入科学，工程和数学领域。它还支持犹他州的基础设施和社区。该飞行员具有交织的技术，公民合作伙伴关系和团队建设目标。项目可交付成果包括高分辨率（每小时，4公里，水平分辨率）和空气污染危害与臭氧和空气阳性颗粒物相关的空气污染危害的自动化森林。后一个颗粒主要与冬季热倒，野火和灰尘事件有关，所有这些都会引起严重的健康问题，例如哮喘。这项工作将影响城市和粗糙社区。该研究还包括技术开发和部署的新型，具有成本效益的空气质量传感器，能够在多达10个微米大小的灰尘粒子范围内测量社区规模的差异。数据可以集成到现有的社区监控网络中。这项工作还提供了一个与公民合作伙伴共同开发的框架，决策者可以使用该框架来帮助将高分辨率，空气质量信息转化为行动，从而导致空气污染的暴露于西方社区的人们。如果成功，方法和技术有可能扩展到全国其他地方。该项目是对公民创新挑战计划的回应 - 轨道A.生活在不断变化的气候下：围绕适应性，韧性和缓解措施的行为行动 - 是NSF，国土安全部和能源部和能源部之间的合作。该奖项反映了NSF的法定任务，并通过评估了基金会的智力效果，并被认为是对基金会的cripitiatial cripial and Intedial的支持。

项目成果

Laboratory evaluation of the Alphasense OPC-N3, and the Plantower PMS5003 and PMS6003 sensors

Alphasense OPC-N3、Plantower PMS5003 和 PMS6003 传感器的实验室评估

• DOI: 10.1016/j.jaerosci.2023.106181
• 发表时间: 2023
• 期刊: Journal of Aerosol Science
• 影响因子: 4.5
• 作者: Kaur, Kamaljeet;Kelly, Kerry E.
• 通讯作者: Kelly, Kerry E.

Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah

• DOI: 10.5194/amt-16-2455-2023
• 发表时间: 2023-05
• 期刊: Atmospheric Measurement Techniques
• 影响因子: 3.8
• 作者: Kamaljeet Kaur;K. Kelly