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不健康的地区。儿童和学生运动员特别容易受到升高空气污染水平，因为他们的肺部未完全发育，并且呼吸速度更快。当前的空气质量森林和测量结果无法保护它们免受严重的空气质量危害，例如灰尘和野火烟雾。犹他州是一个由野火烟雾和风吹灰尘驱动的严重空气质量挑战的地方的典型例子。这些事件的地理范围和严重程度很难评估，因为国家运营的监控站很少，许多粗糙的县没有空气质量的测量方法。犹他州的状态和媒体仅提供29个县中12个县的空气质量森林，它们的空间分辨率低，仅在24小时内，并且仅限于臭氧和细颗粒物（即2.5微米尺寸分数）。它们不包括灰尘，也不包括污染的空间变异性。犹他州目前的预测框架不是自动化的，需要专家人员的意见。此外，由于犹他州复杂的地形，联邦机构提供的当地空气质量森林和空气质量图可能是不准确的，因为它们是为美国整个美国大陆而设计的，并且不考虑由高度变化和粗大地形引起的微气候或大气变化。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。它吸引了社区，尤其是学生体育教练，以创建邻里规模的空气质量信息，以帮助减少暴露于空气污染物危害，特别是对于参加田径运动的儿童和青少年。除保护公共卫生的更广泛影响外，该研究还将在自动化空气质量预测，社区规模的空气质量传感网络和科学通信方面取得进步。公民创新挑战赛是与能源部，国土安全部和国家科学基金会的合作。这个公民创新挑战项目将与邻里规模的可行的空气质量信息与利益相关者共同开发，以帮助减少暴露于空气污染物危害，包括野火烟雾和灰尘，尤其是对于儿童。它将建立项目团队现有的空气质量感官和预测基础设施以及它已经开发出的强大公民合作伙伴关系来收集和评估必要的测量结果。预测工具，有效的消息传递策略和质量指标将帮助社区保护儿童，运动员和犹他州的公众免受空中质量危害。该项目将通过增加灰尘的新灵敏度和扩展其创新的空气质量传感网络的地理覆盖范围，扩大犹他大学的现有空气质量传感基础设施。然后将这些数据与现有的气象，尘埃运输，野火烟雾传输，空气质量预测模型集成，以生成自动化，高空间分辨率，空气质量森林。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管理员和体育教练）和理事机构（犹他州空中质量，卫生部，犹他州犹他州高中活动协会）的参与来完成。这种团队方法以及数据可视化工具与易于访问的界面的创新组合将导致高分辨率（即4公里的水平分辨率和传感器的每小时读数），自动化系统会产生空气污染危害的数值森林，尤其是与逆向，野外烟雾，野外烟雾相关的危害。该系统将在州空气质量系统中进行操作并集成到一个新的，具有成本效益的空气质量传感器，以监视和预测严重的尘埃水平和其他特定的空中物质，可以通过互动仪表板可视化，以了解何时呈现危险水平。该奖项反映了NSF的法定任务，并通过使用基金会的智能评估来评估诚实地支持我们的诚实的支持。