Establishing a Community Air Monitoring Network in a Wildfire Smoke-Prone Rural Community: The Motivations, Experiences, Challenges, and Ideas of Clean Air Methow's Clean Air Ambassadors.
Establishing a Community Air Monitoring Network in a Wildfire Smoke-Prone Rural Community: The Motivations, Experiences, Challenges, and Ideas of Clean Air Methow's Clean Air Ambassadors.
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DOI：
10.3390/ijerph17228393
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发表时间：
2020-11-13
影响因子：
--
通讯作者：
Errett NA
中科院分区：
文献类型：
--
作者：
Durkin A;Gonzalez R;Isaksen TB;Walker E;Errett NA
为了应对与野火有关的空气质量问题，以及与冬季柴炉使用和规定的农业燃烧有关的问题，清洁空气方法的清洁空气大使计划建立了一个社区空气监测网络（CAMN），以提供地理空间特定的空气质量信息，并补充华盛顿州生态部位于该地区的两个浊度计产生的数据。根据他们的地理位置和对空气质量的兴趣，有目的地选择清洁空气大使（CAAs）来托管低成本的空气传感器。所有18个CAAs都接受了采访，以了解他们参与的动机、使用数据的经验、遇到的挑战以及对未来项目方向的建议。访谈记录被编码，并使用定性分析方法来确定每个领域的关键主题。据报道，作为CAA参与的动机包括减少个人接触，保护敏感人群，对空气质量或环境科学的兴趣，以及提供社区利益。CAAs使用CAMN数据来了解空气质量状况，尽量减少个人或家庭暴露，并让其他社区成员参与空气质量讨论。未来项目方向的机会包括用于监测其他季节性空气质量问题，通知或减少其他产生污染的活动，学校和社区教育活动，不同利益相关方团体使用和参与的机会，以及方便移动设备访问CAMN信息。据报道，与参与有关的挑战有限。需要进一步的研究来了解CAMN在社区层面的影响。这些发现可能为其他农村野火烟雾易发社区建立类似的camn提供信息。
In response to wildfire-related air quality issues as well as those associated with winter wood stove use and prescribed and agricultural burning, Clean Air Methow’s Clean Air Ambassador program established a community air monitoring network (CAMN) to provide geospatially specific air quality information and supplement data generated by the two Washington State Department of Ecology nephelometers situated in the area. Clean Air Ambassadors (CAAs) were purposefully selected to host low-cost air sensors based on their geographic location and interest in air quality. All 18 CAAs were interviewed to understand their motivations for participation, experiences using the data, challenges encountered, and recommendations for future project directions. Interview transcripts were coded, and a qualitative analysis approach was used to identify the key themes in each domain. The reported motivations for participation as a CAA included reducing personal exposure, protecting sensitive populations, interest in air quality or environmental science, and providing community benefits. CAAs used CAMN data to understand air quality conditions, minimize personal or familial exposure, and engage other community members in air quality discussions. Opportunities for future project directions included use for monitoring other seasonal air quality issues, informing or reducing other pollution-generating activities, school and community educational activities, opportunities for use by and engagement of different stakeholder groups, and mobile-friendly access to CAMN information. Limited challenges associated with participation were reported. Additional research is necessary to understand the community-level impacts of the CAMN. The findings may be informative for other rural wildfire smoke-prone communities establishing similar CAMNs.
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影响因子：
4.9
作者：
Delfino RJ;Brummel S;Wu J;Stern H;Ostro B;Lipsett M;Winer A;Street DH;Zhang L;Tjoa T;Gillen DL
通讯作者：
Gillen DL
影响因子：
10.4
作者：
English PB;Olmedo L;Bejarano E;Lugo H;Murillo E;Seto E;Wong M;King G;Wilkie A;Meltzer D;Carvlin G;Jerrett M;Northcross A
通讯作者：
Northcross A
影响因子：
56.9
作者：
Westerling, A. L.;Hidalgo, H. G.;Swetnam, T. W.
通讯作者：
Swetnam, T. W.
影响因子：
5.2
作者：
Gillett, NP;Weaver, AJ;Flannigan, MD
通讯作者：
Flannigan, MD
DOI：
10.3390/s151229859
发表时间：
2015-12-12
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Yi WY;Lo KM;Mak T;Leung KS;Leung Y;Meng ML
通讯作者：
Meng ML