Climate Change Data Portal
DOI | 10.1016/j.atmosres.2019.06.009 |
Extinction-related Angström exponent characterization of submicrometric volume fraction in atmospheric aerosol particles | |
Quirantes A.; Guerrero-Rascado J.L.; Pérez-Ramírez D.; Foyo-Moreno I.; Ortiz-Amezcua P.; Benavent-Oltra J.A.; Lyamani H.; Titos G.; Bravo-Aranda J.A.; Cazorla A.; Valenzuela A.; Casquero-Vera J.A.; Bedoya-Velásquez A.E.; Alados-Arboledas L.; Olmo F.J. | |
发表日期 | 2019 |
ISSN | 0169-8095 |
起始页码 | 270 |
结束页码 | 280 |
卷号 | 228 |
英文摘要 | The AEAOD– ΔAEAOD grid proposed by Gobbi et al. (2007) is a graphical method used to visually represent the spectral characterization of aerosol optical depth (AOD), i.e. Angström exponent (AE) and its curvature, in order to infer the fine mode contribution (η) to the total AOD and the size of the fine mode aerosol particles. Perrone et al. (2014) applied this method for the wavelengths widely used in lidar measurements. However, in neither case does the method allow for a direct relationship between η and the fine mode fraction contribution to the total aerosol population. Some discussions are made regarding the effect of shape and composition to the classical AE-ΔAE plot. The potential use of particle backscatter measurements, widely used in aerosol characterization methods together with extinction measurements, is also discussed in the AE-ΔAE grid context. A modification is proposed that yields the submicron contribution to the total volume concentration by using particle extinction data, and a comparison to experimental measurements is made. Our results indicate that the use of a modified AE-ΔAE grid plot to directly obtain submicrometric and micrometric mode fraction to the total aerosol population is feasible if a volume-based bimodal particle size distribution is used instead of a number-based one. © 2019 Elsevier B.V. |
英文关键词 | Aerosol; Graphical method; Lidar; Submicrometric fraction |
语种 | 英语 |
scopus关键词 | Aerosols; Graphic methods; Optical radar; Particle size; Particle size analysis; Particles (particulate matter); Spectrum analyzers; Aerosol characterization; Aerosol optical depths; Atmospheric aerosol particles; Bimodal particle size distribution; Extinction measurements; Graphical methods; Spectral characterization; Submicrometric fraction; Atmospheric aerosols; aerosol; graphical method; lidar; optical depth; particle size; size distribution |
来源期刊 | Atmospheric Research
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/162196 |
作者单位 | Dpt. Applied Physics, Faculty of Sciences, University of Granada, Fuentenueva s/n, Granada, 18071, Spain; Andalusian Institute for Earth System Research (IISTA-CEAMA), Avda. delMediterráneo s/n, Granada, 18006, Spain; Sciences Faculty, Department of Physics, Universidad Nacional de Colombia, Medellín, Colombia |
推荐引用方式 GB/T 7714 | Quirantes A.,Guerrero-Rascado J.L.,Pérez-Ramírez D.,et al. Extinction-related Angström exponent characterization of submicrometric volume fraction in atmospheric aerosol particles[J],2019,228. |
APA | Quirantes A..,Guerrero-Rascado J.L..,Pérez-Ramírez D..,Foyo-Moreno I..,Ortiz-Amezcua P..,...&Olmo F.J..(2019).Extinction-related Angström exponent characterization of submicrometric volume fraction in atmospheric aerosol particles.Atmospheric Research,228. |
MLA | Quirantes A.,et al."Extinction-related Angström exponent characterization of submicrometric volume fraction in atmospheric aerosol particles".Atmospheric Research 228(2019). |
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。