Citizens' Data for Air Pollution (CitiDAir)

公民空气污染数据 (CitiDAir)

• 批准号: BB/T019301/1
• 负责人: Miranda Loh
• 金额: $ 2.56万
• 依托单位: Institute of Occupational Medicine
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FT019301%2F1
• 关键词: Citizens; Data; Air; Pollution; CitiDAir

Air pollution has figured prominently as one of the environmental crises of the day. There is now a market in consumer air monitors, which makes pollution monitoring more accessible to the public than before. Consumer monitors are distinguished from the pollution monitors used by researchers in terms of cost (these can be many times cheaper than research instruments), user friendliness, and quality (there is great uncertainty about the long-term reliability and accuracy of these monitors). Because of the existing national monitoring stations for air pollution are relatively few, mathematical models are often used to fill in missing data. However, models still require ground-level calibration from monitors, so there is still a need for higher resolution monitoring across space and time for improving model estimates. Establishment of a high resolution monitoring network is still cost-prohibitive. Mobile monitoring is another potential way of obtaining this high resolution data. Citizens could be a form of mobile monitoring, and we will explore the feasibility of developing a campaign to measure air pollution across time and space with citizens as data collectors. We will also explore the possibility of using consumer air monitors to determine whether this effort could be citizen-led, rather than relying on researchers to supply monitoring equipment. We will also explore how people interact with the data collection process and the data they collect, as well as the benefits they receive from this activity, to better incorporate citizen science into future air pollution exposure research.

空气污染是当天的环境危机之一。现在有一个消费空中监视器的市场，这使公众比以前更容易污染监测。消费者监视器与研究人员在成本方面使用的污染监视器有区别（这些污染监视器（这些可能比研究工具便宜很多），用户友好性和质量（这些监视器的长期可靠性和准确性存在很大的不确定性）。由于现有的空气污染监测站相对较少，因此通常使用数学模型来填写缺失的数据。但是，模型仍需要监视器的基础校准，因此仍然需要在空间和时间上进行更高的分辨率监测以改善模型估计。建立高分辨率监控网络仍然是成本良好的。移动监控是获得此高分辨率数据的另一种潜在方法。公民可能是一种移动监控的一种形式，我们将探讨开展运动以衡量与公民作为数据收集员跨时间和空间衡量空气污染的活动的可行性。我们还将探索使用消费者空中监视器来确定这项工作是否可以是公民主导的可能性，而不是依靠研究人员提供监视设备。我们还将探讨人们如何与数据收集过程及其收集的数据以及他们从这项活动中获得的好处进行互动，以更好地将公民科学纳入未来的空气污染暴露研究中。