EAGER: Incorporating Citizen Science into Real-Time Sensor-Based Estimates of Traffic-Related Air Pollution Exposure

1645226年5月随着传感器技术的快速发展，公民科学家越来越容易使用它们;然而，在不完全了解这些传感器的能力和局限性的情况下使用这些传感器可能会导致由于操作偏差而导致数据不可靠。这项工作的主要目的是部署低成本的空气质量传感器，提供高质量的数据，从而更好地估计个人暴露于空气污染物。具体而言，这项工作将集中在交通相关的空气污染（TRAP），即一氧化碳，臭氧（O3），二氧化氮（NO2）和颗粒物（PM）。该项目将通过与一个由俄亥俄州哥伦布附近当地高中学生组成的公民科学家团队合作进行。公民科学家和研究团队将共同为教师或其他学生开发培训模块，以覆盖希利亚德市学区更广泛的受众。人们认识到，当前针对公民科学使用的技术存在局限性，PI假设公民科学家可以利用低成本的空气质量传感器来提供他们生活的微环境中的可靠空气质量数据，工作和娱乐。最初，这将需要项目执行人的认真指导，但今后，随着培训材料的编写，将需要有限的监督。参与者制定了一个项目计划，目标如下：1. 2.吸引和招募公民科学家来构建和部署支持Wi-Fi的低成本空气质量传感器网络。在俄亥俄州富兰克林县的Hilliard City学区使用传感器网络监测环境空气质量。3.开发和部署云计算解决方案，以提供基于该传感器网络的公共可用的近实时空气质量数据。4.开展外展活动，让高中生了解他们居住、玩耍和上学的社区内的当地空气质量。总体研究计划分为一系列任务。任务1是由公民科学家制造空气质量监测器，任务2是使用这些监测器作为传感器网络进行室外空气质量测量，任务3是对收集到的数据进行解释和可视化。这项工作将有助于低成本空气污染传感器的开发，完善和实际应用，重点是由公民科学家部署本地传感器网络。通过提供云计算解决方案来处理传感器网络收集的数据，PI可以考虑偏差和离群值，从而减轻与数据可靠性，有效性和可信度相关的一些问题。该项目将在促进教学、培训和学习的同时造福社会。部署的空气质量监测器网络将提供俄亥俄州希利亚德市希利亚德市学区关键微环境中个人暴露于空气污染的估计，从而为预防或管理地区居民的急性哮喘急性发作提供更好的实践。该奖项获得了CISE董事会大数据中心（BDHubs）计划的共同资助。

1645226MayAs sensor technologies rapidly evolve, they become more accessible for citizen scientist use; however, use of these sensors with incomplete understanding of their capabilities and limitations can result in data that may be unreliable due to operational biases. The key aim of this work is to deploy low-cost air quality sensors that provide high-quality data, resulting in better estimates of personal exposure to air pollutants. Specifically, this work will focus on traffic-related air pollution (TRAP), namely carbon monoxide, ozone (O3), nitrogen dioxide (NO2), and particulate matter (PM). The project will be conducted through collaboration with a team of citizen scientists comprised of local high school students near Columbus, OH. Jointly, the citizen scientists and research team will develop training modules for teachers or other students in order to reach a broader audience at Hilliard City School District.It is recognized that there are limitations of current technologies targeted for use in citizen science, the PIs' hypothesize that low-cost air quality sensors can be utilized by citizen scientists to provide reliable air quality data within micro-environments where they live, work and play. Initially, this will require careful guidance from the PIs, but in the future, limited oversight will be needed as training materials are developed. The PIs have developed a project plan with the following objectives: 1. Engage and recruit citizen scientists to fabricate and deploy a Wi-Fi-enabled, low-cost air quality sensor network, 2. Monitor ambient air quality with the sensor network in the Hilliard City School District in Franklin County, OH. 3. Develop and deploy a cloud-computing solution to provide publically-available, near-real-time air quality data based on this sensor network. 4. Develop outreach activities to engage high school students about local air quality within their neighborhoods where they live, play and go to school. The overall research plan is organized into a series of tasks. Task 1 is the fabrication of the air quality monitors by the citizen scientists, Task 2 is the use of these monitors to conduct outdoor air quality measurements as a sensor network, and, Task 3 is the interpretation and visualization of the data collected. This work will contribute to the development, refinement, and practical application of low-cost air pollution sensors with an emphasis on deployment of local sensor networks by citizen scientists. By providing a cloud-computing solution to process the data collected by the sensor network, the PI can account for biases and outliers, thus mitigating some of the concerns related to data reliability, validity, and trustworthiness. This project will benefit society while promoting teaching, training, and learning. The deployed network of air quality monitors will provided estimates of personal exposure to air pollution within key micro-environments in the Hilliard City School District in Hilliard, OH, thus enabling better practices for prevention or management of acute asthma exacerbation for district residents. This award received co-funding from CISE Directorate Big Data Hubs (BDHubs) Program.