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Assessment of source apportionment by Positive Matrix Factorization analysis on fine and coarse particulate matter in industrial areas in Kaduna, Northern Nigeria

机译:通过正矩阵分解分析法对尼日利亚北部卡杜纳工业区的细颗粒和粗颗粒物进行源分配评估

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The characterization of PM_(2.5) and PM_(2.5-10) trace element compositions and black carbon was achieved using XRF and Optical Transmissometer. Source apportionments of PM were performed using US EPA PMF v5.0.5. Five and four sources were identified for PM_(2.5) and PM_(2.5-10) samples, respectively. About 95% of PM_(2.5) and 84% of PM_(2.5-10) were identified to be contributions from anthropogenic sources that were associated with northwesterly regional transport. Biomass burning was the predominant fine PM source and was attributed to agricultural and domestic burning within these industrial areas. The petrochemical industry and vehicular emissions featured prominently for the coarse PM samples. Soil was also an important source of the coarse PM. The results of this work suggest that there are competing relationships between anthropogenic and natural source processes in these industrial areas. This study will help relevant stakeholders and policy makers understand the influence of regional and local sources of PM_(2.5) and PM_(2.5-10) in urban areas. These results also illustrate the application of source location and apportionment of PM in solving local pollution problems where there are reasonably sized data set such as in this study.
机译:使用XRF和光学透射仪对PM_(2.5)和PM_(2.5-10)痕量元素组成以及黑碳进行了表征。 PM的来源分配是使用US EPA PMF v5.0.5进行的。分别确定了PM_(2.5)和PM_(2.5-10)样本的五个和四个来源。已确定约95%的PM_(2.5)和84%的PM_(2.5-10)来自与西北区域运输有关的人为来源。生物质燃烧是主要的精细PM来源,归因于这些工业领域内的农业和家庭燃烧。石化工业和车辆排放在粗颗粒PM样品中尤为突出。土壤也是粗颗粒PM的重要来源。这项工作的结果表明,在这些工业领域中,人为和自然资源过程之间存在相互竞争的关系。这项研究将帮助相关的利益相关者和决策者了解城市地区PM_(2.5)和PM_(2.5-10)的区域和本地来源的影响。这些结果还说明了源位置和PM的分配在解决具有适当规模的数据集(如本研究)的局部污染问题中的应用。

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