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Informing Interventions through Use of a Dense Monitoring Network for Rural Woodsmoke Impacted Communities

机译:通过对农村伍德奥克诺克农村影响社区的密集监测网络通知干预措施

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Introduction. Rangiora is a rural town in South Island, New Zealand where the use of wood for home heating is prevalent. The West Silver Valley is a historic mining area along the Coeur d'Alene River in northern Idaho, U.S. Due to cold temperature inversions and the predominant use of wood fuels for domestic heating, both communities (and others like them) often exceed health-based standards for particulate matter (PM10 in New Zealand and PM2.5 in the US). Using low-cost PM monitors, we provided policymakers, community members and students across both communities with tools to visualize temporal and spatial variance in ambient woodsmoke. Methods. We deployed 13 low-cost solar powered monitors across Rangiora in 2017 and 12 across the West Silver Valley in 2018, capturing PM2.5 at one-minute intervals over a period of seven and four weeks respectively. Following a quality control procedure, data were ingested into a visualization system previously used by NIWA for presenting weather forecasts and climate summaries for New Zealand. In addition to engaging with residents and state air quality agency personnel, we worked with school administrators to introduce opportunities for students to utilize these dense network air monitoring tools within the context of their science-based curricula. Results. The low-cost monitors exhibited a high degree of stability with nearly 100% data recovery. The data was used to create maps of air quality that described previously unknown spatio-temporal variation in air quality. Animations of the data effectively communicated the highly dynamic nature of air quality and exposure, informing community and regulatory uncertainty over the validity and representativeness of fixed regulatory monitoring sites. Conclusion. A PM sampling network, when combined with visualization tools, reveals new information at a sub-community level that can be used to illustrate fine-grained exposure assessment, stimulate engagement and inform decision making.
机译:介绍。 Rangiora是新西兰南岛的乡村小镇,在那里使用木材采暖的木材采暖是普遍存在的。西银谷是一座历史悠久的矿区,沿着爱达荷州北部的Coeur d'Alene河,我们由于寒冷的温度反转和主要使用木材燃料来为国内供暖,既有社区(也喜欢它们)往往超过健康颗粒物质标准(新西兰PM10和美国PM2.5)。使用低成本PM监视器,我们为整个社区提供了政策制定者,社区成员和学生,以便在环境木屋中可视化时间和空间方差。方法。我们于2017年在2017年和12月12日在2018年跨越rangiora部署了13个低成本的太阳能监视器,分别在七到四周的时间内以一分钟的间隔捕获PM2.5。在质量控制程序之后,将数据摄取到以前由NIWA使用的可视化系统,用于向新西兰展示天气预报和气候摘要。除了与居民和国家空气质量代理人员合作之外,我们还与学校管理员合作,为学生介绍了在科学课程的背景下利用这些密集网络空气监测工具的机会。结果。低成本监测器具有高度稳定性,具有近100%的数据恢复。数据用于创建空气质量的地图,所述空气质量上述空气质量的未知时空变化。数据的动画有效地传达了空气质量和曝光的高度动态性质,对社区和监管不确定性提供了固定监管监测网站的有效性和代表性。结论。当与可视化工具相结合时,PM采样网络揭示了可以用于说明细粒度暴露评估,刺激参与和通知决策的子社区水平的新信息。

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