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Combining Community Engagement and Scientific Approaches in Next-Generation Monitor Siting: The Case of the Imperial County Community Air Network

机译:在下一代监控器选址中将社区参与与科学方法相结合:以帝国郡社区空中网络为例

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摘要

Air pollution continues to be a global public health threat, and the expanding availability of small, low-cost air sensors has led to increased interest in both personal and crowd-sourced air monitoring. However, to date, few low-cost air monitoring networks have been developed with the scientific rigor or continuity needed to conduct public health surveillance and inform policy. In Imperial County, California, near the U.S./Mexico border, we used a collaborative, community-engaged process to develop a community air monitoring network that attains the scientific rigor required for research, while also achieving community priorities. By engaging community residents in the project design, monitor siting processes, data dissemination, and other key activities, the resulting air monitoring network data are relevant, trusted, understandable, and used by community residents. Integration of spatial analysis and air monitoring best practices into the network development process ensures that the data are reliable and appropriate for use in research activities. This combined approach results in a community air monitoring network that is better able to inform community residents, support research activities, guide public policy, and improve public health. Here we detail the monitor siting process and outline the advantages and challenges of this approach.
机译:空气污染仍然是全球公共卫生的威胁,小型,低成本的空气传感器的日益普及,引起了人们对个人和众包空气监测的浓厚兴趣。然而,迄今为止,很少有低成本的空气监测网络能够进行科学的严密性或连续性,以进行公共卫生监测和制定政策。在美国/墨西哥边境附近的加利福尼亚帝国县,我们采用了社区参与的协作流程,开发了一种社区空气监测网络,该网络不仅达到了研究所需的科学严谨性,而且还实现了社区优先事项。通过让社区居民参与项目设计,监视选址过程,数据分发和其他关键活动,最终的空气监测网络数据将是相关的,可信赖的,可理解的并由社区居民使用。将空间分析和空中监测最佳实践整合到网络开发过程中,可确保数据可靠且适合用于研究活动。这种综合方法形成了社区空气监测网络,该网络能够更好地为社区居民提供信息,支持研究活动,指导公共政策并改善公共卫生。在这里,我们详细介绍了监视器选址过程,并概述了这种方法的优点和挑战。

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