A citizen science approach for air quality monitoring in a Kenyan informal development

A citizen science approach for air quality monitoring in a Kenyan informal development
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肯尼亚非正式开发项目中空气质量监测的公民科学方法

DOI:
10.1016/j.cacint.2023.100105
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发表时间:
2023
影响因子:
3.3
通讯作者:
Manshur T
Manshur T
中科院分区:
--
文献类型:
--
作者:
Manshur T

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本文研究了利用公民科学方法进行空气质量监测,以探索穿过内罗毕内罗毕基贝拉非正式定居点的新的 Missing Link #12 公路可能造成的污染影响。由于环境监测技术的进步以及为社区组织通过低成本传感器收集空气污染数据创造的机会,公民科学方法在空气质量监测中越来越重要。位于 Missing Link#12 附近的 14 个家庭配备了光学粒子传感器。收集的数据显示,沿路居民的PM2.5和PM10浓度高于世界卫生组织建议值,这主要是由于建筑工地和室内烹饪所使用的燃料产生的颗粒物造成的。社区参与研讨会表明,参与性方法有助于提高人们对空气污染及其相关健康影响的认识。它还使社区能够增强获得和使用科学工具来解决当地问题的能力,并可能游说决策者解决这些问题。在非洲城市交通基础设施发展的背景下,这种方法可以成为收​​集数据和监测道路建设期间和之后空气污染影响的一种手段。
This paper investigates the use of a citizen science approach for air quality monitoring to explore the likely pollution impacts of the new Missing Link #12 road passing through the informal settlement of Kibera, within Nairobi. Citizen science approaches are gaining relevance in air quality monitoring thanks to the advancement in environmental monitoring technology and the opportunities created for community-based organizations to collect data on air pollution through low-cost sensors. Fourteen households located in proximity to the Missing Link#12 were equipped with optical particle sensors. Data collected indicated that people living along the road are exposed to levels of PM2.5and PM10above WHO recommendations, mainly due to the particulate generated by the construction site and fuels used for indoor cooking. A community engagement workshop revealed that participatory approaches are useful for improving awareness of air pollution and associated health implications. It also allowed the community to enhance their capability to gain and use scientific tools to address local issues, and potentially lobby decision-makers to solve them. In the context of transport infrastructure development in African cities, such an approach can be a means of collecting data and monitoring the impacts of air pollution during and after road building.