气候变化领域集成服务门户(CCPortal): Real-time retrieval of aerosol chemical composition using effective density and the imaginary part of complex refractive index

CCPortal

DOI	10.1016/j.atmosenv.2020.117959
	Real-time retrieval of aerosol chemical composition using effective density and the imaginary part of complex refractive index
	Wang S.; Crumeyrolle S.; Zhao W.; Xu X.; Fang B.; Derimian Y.; Chen C.; Chen W.; Zhang W.; Huang Y.; Deng X.; Tong Y.
发表日期	2021
ISSN	1352-2310
卷号	245
英文摘要	Knowledge of aerosol chemical composition is essential for the research on aerosol climate effect, air quality and health issues. With the development of optical remote-sensing technology, numerous aerosol chemical composition retrieval methods based on optical properties were developed. However, the existing algorithms lack the verification with similar measurements of aerosol chemical composition. In this work, a novel algorithm based on effective density (ρe) and imaginary part (k) of the complex refractive index (CRI) at λ = 365 and 532 nm was developed to retrieve four main aerosol components, including black carbon (BC), organic matter (OM), mineral dust (MD), and sum of sulfate, nitrate and ammonium (SNA). ρe was derived by converting aerodynamic to electrical mobility diameter. CRI was retrieved from Mie code and simultaneous measurement of particle number size distribution (PNSD) and the extinction and scattering coefficients (bext and bscat). Comprehensive sensitivity tests were performed to estimate the retrieval uncertainties from the measurements and a priori inputs. Validation of the algorithm was demonstrated using a series of observations at Shouxian (China) from November 30 to December 12, 2016. The measured and retrieved aerosol chemical compositions were compared and the two results showed good agreements, proving the reliability of the method. During one clean and two pollution periods, the variation of measured aerosol physical and optical properties and retrieved chemical composition were analyzed. The aerosol chemical composition changes can be well described by the transition of air mass sources for different pollution levels. This study provides a reliable, in-situ method for better constraining the relationship between aerosol chemical compositions and optical properties. This method will help monitor the pollution event, identify aerosol sources and verify the retrievals from remote sensing data. © 2020 Elsevier Ltd
关键词	Aerosol optical properties Chemical composition Complex refractive index Effective density High temporal resolution Real-time
语种	英语
scopus关键词	Air quality; Chemical analysis; Refractive index; Remote sensing; Sulfur compounds; Uncertainty analysis; Aerosol chemical composition; Chemical compositions; Complex refractive index; Optical remote sensing; Remote sensing data; Retrieval uncertainty; Scattering co-efficient; Simultaneous measurement; Aerosols; ammonia; black carbon; nitrate; organic matter; sulfate; aerosol; aerosol composition; air mass; air quality; algorithm; black carbon; chemical composition; optical property; real time; refractive index; remote sensing; satellite data; aerodynamics; aerosol; air monitoring; air pollution; algorithm; Article; chemical composition; controlled study; density; dynamics; information retrieval; measurement; mineral dust; particle size; particulate matter; priority journal; refraction index; reliability; remote sensing; traffic pollution; uncertainty; Anhui; China; Shouxian; Apseudes
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248766
作者单位	Laboratory of Atmospheric Physico-Chemistry, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, Anhui 230031, China; Graduate School, University of Science and Technology of China, Hefei, Anhui 230026, China; Université Lille, CNRS, UMR 8518 - LOA - Laboratoire d'Optique Atmosphérique, Lille, 59000, France; Laboratoire de Physicochimie de l'Atmosphère, Université du Littoral Côte d'Opale, Dunkerque, 59140, France; School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, Anhui 230026, China; Anhui Institute of Meteorological Science, Hefei, Anhui 230031, China; Shouxian National Climatology Observatory, Shouxian, Anhui 232200, China; Anhui Shouxian Meteorological Bureau, Shouxian, Anhui 232200, China
推荐引用方式 GB/T 7714	Wang S.,Crumeyrolle S.,Zhao W.,et al. Real-time retrieval of aerosol chemical composition using effective density and the imaginary part of complex refractive index[J],2021,245.
APA	Wang S..,Crumeyrolle S..,Zhao W..,Xu X..,Fang B..,...&Tong Y..(2021).Real-time retrieval of aerosol chemical composition using effective density and the imaginary part of complex refractive index.ATMOSPHERIC ENVIRONMENT,245.
MLA	Wang S.,et al."Real-time retrieval of aerosol chemical composition using effective density and the imaginary part of complex refractive index".ATMOSPHERIC ENVIRONMENT 245(2021).