GSTDTAP  > 地球科学
DOI10.1016/j.atmosres.2018.02.015
Integration of optical and chemical parameters to improve the particulate matter characterization
Perrone, M. R.1; Romano, S.1; Genga, A.2; Paladini, F.1
2018-06-01
发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
EISSN1873-2895
出版年2018
卷号205页码:93-106
文章类型Article
语种英语
国家Italy
英文摘要

Integrating nephelometer measurements have been combined with co-located in space and time PM10 and PM1 mass concentration measurements to highlight the benefits of integrating aerosol optical properties with the chemical speciation of PM1 and PM10 samples. Inorganic ions (SO42-, NO3-, NH4+, Cl-, Na+, K+, Mg2+, and Ca2+), metals (Fe, Al, Zn, Ti, Cu, V, Mn, and Cr), and the elemental and organic carbon (SC and OC, respectively) have been monitored to characterize the chemical composition of PM1 and PM10 samples, respectively. The scattering coefficient (sigma(p)) at 450 nm, the scattering Angstrom coefficient (angstrom) calculated at the 450-635 nm wavelength pair, and the scattering Angstrom coefficient difference (Delta angstrom) retrieved from nephelometer measurements have been used to characterize the optical properties of the particles at the surface. The frequency distribution of the angstrom daily means during the one-year monitoring campaign, performed at a southeastern Italian site, has allowed identifying three main angstrom variability ranges: angstrom <= 0.8, 0.8 < angstrom <= 1.2, and angstrom > 1.2. We found that sigma(p) and Delta angstrom mean values and the mean chemical composition of the PM1 and PM10 samples varied with the A variability range. sigma(p), and Delta angstrom reached the highest (149 Mm(-1)) and the smallest (0.16) mean value, respectively, on the days characterized by angstrom > 1.2. SC, SO42-, and NH4+ mean mass percentages also reached the highest mean value on the angstrom > 1.2 days, representing on average 8.4, 9.8, and 4.2%, respectively, of the sampled PM10 mass and 12.4, 10.6, and 7.7%, respectively, of the PM1 mass. Conversely, sigma(p) and Delta angstrom mean values were equal to 85 Mm(-1) and 0.55, respectively, on the days characterized by angstrom <= 0.8 and the EC, SO42-, and NH4+ mean mass percentages reached smaller values on the angstrom <= 0.8 days, representing 4.5, 6.0, and 1.9% of the PM10 mass and 9.4, 7.3, and 5.8% of the PM1 mass, respectively. Primary and secondary OC (POC and SOC, respectively) contributions also varied with the angstrom variability range. POC and SOC mean mass percentages reached the highest and the smallest value, respectively, on the days characterized by angstrom > 1.2. Conversely, POC and SOC mean mass percentages reached the smallest and the highest value, respectively, on the days characterized by angstrom <= 0.8. It has also been shown that the PM, OC, OC + SC, POC, and SOC mass scattering cross sections varied significantly with the angstrom variability range, because of the angstrom dependence on aerosol sources and/or emission, transport, and transformation mechanisms. Therefore, it has been shown that angstrom daily mean values can represent a good tool to better differentiate the chemical speciation of size-fractioned PM samples.


英文关键词Particle optical properties PM chemical speciation Angstrom coefficient Mass scattering cross section Primary and secondary OC
领域地球科学
收录类别SCI-E
WOS记录号WOS:000429512200010
WOS关键词WESTERN MEDITERRANEAN BASIN ; SECONDARY ORGANIC-CARBON ; NEPHELOMETER MEASUREMENTS ; SPECIES CONTRIBUTIONS ; SCATTERING PROPERTIES ; ATMOSPHERIC AEROSOLS ; PARTICLE-SIZE ; COASTAL SITE ; VARIABILITY ; URBAN
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/38518
专题地球科学
作者单位1.Univ Salento, Dipartimento Matemat & Fis, I-73100 Lecce, Italy;
2.Univ Salento, Dipartimento Sci & Tecnol Biol & Ambientali, I-73100 Lecce, Italy
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Perrone, M. R.,Romano, S.,Genga, A.,et al. Integration of optical and chemical parameters to improve the particulate matter characterization[J]. ATMOSPHERIC RESEARCH,2018,205:93-106.
APA Perrone, M. R.,Romano, S.,Genga, A.,&Paladini, F..(2018).Integration of optical and chemical parameters to improve the particulate matter characterization.ATMOSPHERIC RESEARCH,205,93-106.
MLA Perrone, M. R.,et al."Integration of optical and chemical parameters to improve the particulate matter characterization".ATMOSPHERIC RESEARCH 205(2018):93-106.
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