Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/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
![]() |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
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 |
推荐引用方式 GB/T 7714 | 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. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论