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| DOI | 10.1016/j.atmosres.2020.105060 |
| High resolution spatial mapping of element concentrations in PM10: A powerful tool for localization of emission sources | |
| Massimi L.; Ristorini M.; Astolfi M.L.; Perrino C.; Canepari S. | |
| 发表日期 | 2020 |
| ISSN | 0169-8095 |
| 卷号 | 244 |
| 英文摘要 | A very-low volume sampler of particulate matter (PM) on membrane filters, recently developed with the purpose of allowing spatially-resolved determination of PM and of its chemical components, was employed from December 2016 to February 2018 in a wide and dense monitoring network across Terni, an urban and industrial hot-spot of Central Italy (23 sampling sites, about 1 km between each other). Terni basin can be considered as an open air laboratory for studying the spatial distribution of PM, as it includes several spatially disaggregated sources. PM10 samples were chemically characterized for the water-soluble and insoluble fraction of 33 elements (Al, As, Ba, Bi, Ca, Cd, Ce, Co, Cr, Cs, Cu, Fe, Ga, K, La, Li, Mg, Mn, Mo, Na, Nb, Ni, Pb, Rb, Sb, Sn, Sr, Ti, Tl, U, W, Zn, Zr). Spatial variability of the element concentrations across Terni was then mapped by using the ordinary kriging interpolation method. Spatial distribution of the analyzed elements successfully traced the various PM10 sources. In particular, the spatial mapping of Ba (water-soluble fraction), Bi, Cu, Sb, Sn and Zr (insoluble fraction) traced PM10 emission from the rail network and vehicular traffic, Ce, Cs, La, Li, Rb, Sr and U (insoluble fraction) traced soil resuspension, Cd, Cs, K, Rb and Tl (water-soluble fraction) biomass burning and Co, Cr, Mn, Nb, Ni, Pb (insoluble fraction), As, Cr, Ga, Li, Mo, Mn, W and Zn (water-soluble fraction) the steel industry pole. Principal component analysis was performed on the spatially-resolved chemical data to cluster the elements tracing the main PM10 sources. The winter and summer size distribution of the water-soluble and insoluble elements was analyzed to verify their link with the emission sources. The proposed experimental approach promises to be very effective for the assessment of population exposure to different PM10 sources. © 2020 Elsevier B.V. |
| 关键词 | Aluminum coated steelChemical analysisInterpolationPrincipal component analysisSize distributionSpatial distributionSteelmakingUrban growthChemical componentElement concentrationsExperimental approachesParticulate MatterPopulation exposureSpatial variabilitySpatially resolvedWater soluble fractionManganese removal (water treatment)concentration (composition)fractionationmappingparticulate matterpollutant sourceseasonal variationsize distributionspatial distributiontracerItalyTerniUmbria |
| 语种 | 英语 |
| 来源机构 | Atmospheric Research |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/132397 |
| 推荐引用方式 GB/T 7714 | Massimi L.,Ristorini M.,Astolfi M.L.,et al. High resolution spatial mapping of element concentrations in PM10: A powerful tool for localization of emission sources[J]. Atmospheric Research,2020,244. |
| APA | Massimi L.,Ristorini M.,Astolfi M.L.,Perrino C.,&Canepari S..(2020).High resolution spatial mapping of element concentrations in PM10: A powerful tool for localization of emission sources.,244. |
| MLA | Massimi L.,et al."High resolution spatial mapping of element concentrations in PM10: A powerful tool for localization of emission sources".244(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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