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首页> 外文期刊>Environmental health perspectives. >Within-Neighborhood Patterns and Sources of Particle Pollution: Mobile Monitoring and Geographic Information System Analysis in Four Communities in Accra, Ghana
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Within-Neighborhood Patterns and Sources of Particle Pollution: Mobile Monitoring and Geographic Information System Analysis in Four Communities in Accra, Ghana

机译:邻里内颗粒物污染的模式和来源:加纳阿克拉四个社区的移动监测和地理信息系统分析

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Background Sources of air pollution in developing country cities include transportation and industrial pollution, biomass and coal fuel use, and resuspended dust from unpaved roads. Objectives Our goal was to understand within-neighborhood spatial variability of particulate matter (PM) in communities of varying socioeconomic status (SES) in Accra, Ghana, and to quantify the effects of nearby sources on local PM concentration. Methods We conducted 1 week of morning and afternoon mobile and stationary air pollution measurements in four study neighborhoods. PM with aerodynamic diameters ≤ 2.5 μm (PM2.5) and ≤ 10 μm (PM10) was measured continuously, with matched global positioning system coordinates; detailed data on local sources were collected at periodic stops. The effects of nearby sources on local PM were estimated using linear mixed-effects models. Results In our measurement campaign, the geometric means of PM2.5 and PM10 along the mobile monitoring path were 21 and 49 μg/m3, respectively, in the neighborhood with highest SES and 39 and 96 μg/m3, respectively, in the neighborhood with lowest SES and highest population density. PM2.5 and PM10 were as high as 200 and 400 μg/m3, respectively, in some segments of the path. After adjusting for other factors, the factors that had the largest effects on local PM pollution were nearby wood and charcoal stoves, congested and heavy traffic, loose dirt road surface, and trash burning. Conclusions Biomass fuels, transportation, and unpaved roads may be important determinants of local PM variation in Accra neighborhoods. If confirmed by additional or supporting data, the results demonstrate the need for effective and equitable interventions and policies that reduce the impacts of traffic and biomass pollution.
机译:背景技术发展中国家城市的空气污染源包括运输和工业污染,生物质和煤炭燃料的使用,以及未铺砌道路上的悬浮粉尘。目的我们的目标是了解加纳阿克拉具有不同社会经济地位(SES)的社区内颗粒物(PM)的邻里空间变异性,并量化附近污染源对当地PM浓度的影响。方法我们在四个研究区进行了为期1周的上午和下午的移动和固定式空气污染测量。连续测量空气动力学直径≤2.5μm(PM 2.5 )和≤10μm(PM 10 )的PM,并匹配全球定位系统坐标;定期收集有关本地资源的详细数据。使用线性混合效应模型估计附近源对局部PM的影响。结果在我们的测量活动中,沿移动监测路径的PM 2.5 和PM 10 的几何平均值为21和49μg/ m 3 , SES最高的邻域分别为39和96μg/ m 3 ,SES最低且人口密度最高的邻域。在路径的某些段中,PM 2.5 和PM 10 分别高达200和400μg/ m 3 。调整其他因素后,对当地PM污染影响最大的因素是附近的木材和木炭炉,交通拥挤和交通繁忙,路面松散的污垢以及垃圾焚烧。结论生物质燃料,运输和未铺砌的道路可能是决定阿克拉社区局部PM变化的重要决定因素。如果得到其他或支持性数据的证实,结果表明需要采取有效,公平的干预措施和政策,以减少交通和生物质污染的影响。

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