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

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

• 批准号: 2322009
• 负责人: Kerry Kelly
• 金额: $ 96.97万
• 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: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2322009&HistoricalAwards=false
• 关键词: CIVIC; FA; Track; Pilot; Community

Over 137 million people in the US live in areas with unhealthy levels of outdoor air pollution. Children and student athletes are particularly vulnerable to elevated air pollution levels because their lungs are not fully developed, and they have more rapid breathing rates. Current air quality forecasts and measurements fail to protect them from critical air quality hazards, like dust and wildfire smoke. Utah is a prime example of a place with serious air quality challenges driven by wildfire smoke and wind-blown dust. The geographic extent and severity of these events is difficult to assess because State-run monitoring stations are sparse and many rural counties have no means of air quality measurement. Utah’s state and media outlets only provide air-quality forecasts for 12 of 29 counties and these have low spatial resolution, are only for a 24-hour period, and are limited to ozone and fine particulate matter (i.e., 2.5 micron size fraction). They do not include dust nor do they account for the spatial variability of the pollution. Utah’s current forecasting framework is not automated and requires input from expert staff. Furthermore, due to Utah’s complex terrain, local air-quality forecasts and air quality maps provided by federal agencies can be highly inaccurate because they are designed for the entire continental U.S. and do not account for microclimates or atmospheric vagaries caused by elevation changes and rough terrane. This project provides high resolution air quality data through innovative modeling and data gathering mechanisms and approaches. It engages the community, in particular student athletic coaches, to create neighborhood-scale, actionable air quality information to help reduce exposure to air pollutant hazards, particularly for children and youth participating in athletics. In addition to its broader impact of protecting public health, the research will make advances in automated air-quality forecasting, community-scale air quality sensing networks, and science communication.The CIVIC Innovation Challenge is a collaboration with Department of Energy, Department of Homeland Security, and the National Science Foundation. This Civic Innovation Challenge project will co-develop with stakeholders at the neighborhood-scale, actionable air quality information to help reduce exposure to air pollutant hazards including wildfire smoke and dust, particularly for children. It will build off the project team's existing air-quality sensing and forecasting infrastructure as well as strong civic partnerships it has developed to collect and evaluate the necessary measurements. The forecasting tools, effective message-delivery strategies, and quality metrics will help the community protect children, athletes, and the public in Utah from air-quality hazards. The project will expand the University of Utah’s existing air quality sensing infrastructure by adding new sensing capabilities for dust and extending the geographic coverage of its innovative air quality sensing network. These data are then integrated with existing meteorological, dust transport, wildfire smoke transport, air-quality forecasting models to generate automated, high, spatial resolution, air quality forecasts. This will be done through the involvement of university researchers from the University of Utah, school system decision makers (e.g., preK-12 administrators and athletic trainers), and governing bodies (the Utah Division of Air Quality, Health Department and Utah High School Activities Association). This team approach and the innovative combination of data and creation of data visualization tools with an easily accessible interface will result in a high-resolution (i.e., 4-km horizontal resolution and hourly readings from sensors), automated system that produces numerical forecasts of air pollution hazards, in particular those related to inversions, wildfire smoke, and dust. The system will operationalize and integrate into the State air quality system a new, cost-effective, air quality sensor to monitor and predict serious dust levels and other particulate airborne matter that can be visualized through an interactive dashboard to understand when dangerous levels are present.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.

美国有超过 1.37 亿人生活在室外空气污染水平不健康的地区，儿童和学生运动员特别容易受到空气污染水平升高的影响，因为他们的肺部尚未发育完全，而且他们的呼吸频率更快。测量结果无法保护他们免受灰尘和野火烟雾等严重空气质量危害的影响。 犹他州是因野火烟雾和风吹灰尘而面临严重空气质量挑战的一个典型例子。难以评估，因为国营监测站犹他州的空气质量稀疏，许多农村县没有空气质量测量手段，媒体只提供 29 个县中 12 个县的空气质量预报，而且这些预报的空间分辨率较低，仅提供 24 小时的数据。它们不包括灰尘，也不考虑污染的空间变异性。犹他州目前的预测框架不是自动化的，需要专家的输入。此外，由于犹他州地形复杂，联邦机构提供的当地空气质量预报和空气质量地图可能非常不准确，因为它们是针对美国大陆设计的，没有考虑到海拔变化和整个地区造成的小气候或大气波动。该项目通过创新的建模和数据收集机制和方法提供高分辨率的空气质量数据，它让社区，特别是学生体育教练，创建社区规模的、可操作的空气质量信息，以帮助减少空气污染物的暴露。除了保护公众健康的更广泛影响之外，该研究还将在自动空气质量预测、社区规模的空气质量传感网络和科学传播方面取得进展。 CIVIC 创新挑战该公民创新挑战项目是与能源部、国土安全部和国家科学基金会合作的项目，将与利益相关者共同开发社区范围内可操作的空气质量信息，以帮助减少接触包括野火在内的空气污染物危害。烟雾和灰尘，它将建立在项目团队现有的空气质量传感和预报基础设施以及为收集和评估必要的测量数据而建立的强大的民间合作伙伴关系的基础上。帮助犹他州社区保护儿童、运动员和公众免受空气质量危害 该项目将通过增加新的灰尘传感功能并扩大其创新空气质量传感的地理覆盖范围来扩展犹他大学现有的空气质量传感基础设施。然后将这些数据与现有网络集成。气象、灰尘输送、野火烟雾输送、空气质量预测模型，以生成自动化、高空间分辨率的空气质量预测。这将通过犹他大学的大学研究人员、学校系统决策者（例如， preK-12 管理员和运动教练）以及管理机构（犹他州空气质量部门、卫生部和犹他州高中活动协会）。这种团队方法以及数据的创新组合和数据可视化工具的创建以及易于访问的界面。将导致高分辨率（即 4 公里水平分辨率和传感器每小时读数）自动化系统，可对空气污染危害进行数值预报，特别是与逆温、野火烟雾和灰尘相关的危害。该系统将投入运行并集成到空气污染危害中。国家空气质量系统是一种新型、经济高效的空气质量传感器，用于监测和预测严重的灰尘水平和其他空气中的颗粒物，可以通过交互式仪表板进行可视化，以了解何时存在危险水平。该奖项反映了 NSF 的法定使命通过使用基金会的智力价值和更广泛的影响审查标准进行评估，并被认为值得支持。