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首页> 外文会议>Air and Waste Management Association annual conference and exhibition >Application of Positive Matrix Factorization to Characterize the Sources of PM_(2.5) and PM_(2.5-10) at the Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria
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Application of Positive Matrix Factorization to Characterize the Sources of PM_(2.5) and PM_(2.5-10) at the Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria

机译：正矩阵分解在尼日利亚奥贝菲米·阿沃洛沃大学教学医院（尼日利亚伊费-伊费）的PM_（2.5）和PM_（2.5-10）来源表征中的应用

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The study has shown that the coarse participate fraction is the most dominant in the three sampling sites especially at the Phase 1 and Auditorium sites that were identified to be heavy and medium traffic areas with an average PM_(2.5)/PM_(10) ratio of between 0.54 and 0.38. The characterization of PM_(2.5) and PM_(2.5)-10 trace element composition and black carbon were achieved using XRF and Optical Transmissometer, respectively. Source apportionments of PM_(2.5-10) and PM_(2.5) fractions were carried out using USEPA's PMF 5.0.5 vision model. Six sources were identified for each size fraction of PM_(2.5) and PM_(2.5-10) These include Biomass burning 52% (4.55 μg/m~3), Fuel combustion 42% (3.64 μg/m~3), Soil 4% (0.32 μg/m~3) and Sea salt plus vehicular emission 2% (0.22 μug/m3) for PM_(2.5) while Soil plus Biomass burning 71% (9.35 μg/m~3) and Sea salt plus vehicular emissions 29% (3.76 μg/m~3). The results of this study show that this approach can be applied to reasonably sized data sets to enable source location and apportionment of local PM pollution problems. This study can also help stakeholders and policy makers in understand the influence of regional and local sources of PM_(2.5) and PM_(2.5-10) in an urban areas.
机译：研究表明，在三个采样点中，粗参与率是最主要的，特别是在第一阶段和礼堂的两个采样点中，这两个区域被确定为交通繁忙和中等流量区域，平均PM_（2.5）/ PM_（10）比为在0.54和0.38之间。分别使用XRF和光学透射仪对PM_（2.5）和PM_（2.5）-10微量元素组成和黑碳进行了表征。使用USEPA的PMF 5.0.5视觉模型进行PM_（2.5-10）和PM_（2.5）组分的源分配。分别针对PM_（2.5）和PM_（2.5-10）的每个尺寸分数确定了六个来源，包括生物质燃烧52％（4.55μg/ m〜3），燃料燃烧42％（3.64μg/ m〜3），土壤4 ％（0.32μg/ m〜3）和海盐加车辆排放量的PM_（2.5）为2％（0.22μug/ m3），而土壤加生物质燃烧为71％（9.35μg/ m〜3）和海盐加车辆排放量的29 ％（3.76μg/ m〜3）。这项研究的结果表明，该方法可以应用于合理大小的数据集，以实现源位置和局部PM污染问题的分配。这项研究还可以帮助利益相关者和决策者了解市区中PM_（2.5）和PM_（2.5-10）的区域和本地来源的影响。

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