A novel algorithm to determine the scattering coefficient of ambient organic aerosols. (1st February 2021)

• Record Type: Journal Article
• Authors: Zhu, Wenfei; Guo, Song; Lou, Shengrong; Wang, Hui; Yu, Ying; Xu, Weizhao; Liu, Yucun; Cheng, Zhen; Huang, Xiaofeng; He, Lingyan; Zeng, Limin; Chen, Shiyi; Hu, Min
• Is Part Of: Environmental pollution. Volume 270(2021)
• Publication Date: 2021-02-01
• Subjects: Scattering coefficient -- Mass scattering efficiency -- Aerosol mass spectrometer -- Primary organic aerosol -- Secondary organic aerosol; Pollution -- Periodicals; Pollution -- Environmental aspects -- Periodicals; Environmental Pollution -- Periodicals; Pollution -- Périodiques; Pollution -- Aspect de l'environnement -- Périodiques; Pollution -- Effets physiologiques -- Périodiques; Pollution; Pollution -- Environmental aspects; Periodicals; Electronic journals; 363.73
• DOI: 10.1016/j.envpol.2020.116209
• Languages: English
• ISSNs: 0269-7491

Abstract

Abstract: In the present work, we propose a novel algorithm to determine the scattering coefficient of OA by evaluating the relationships of the MSEs for primary organic aerosol (POA) and secondary organic aerosol (SOA) with their mass concentrations at three distinct sites, i.e. an urban site, a rural site, and a background site in China. Our results showed that the MSEs for POA and SOA increased rapidly as a function of mass concentration in low mass loading. While the increasing rate declined after a threshold of mass loading of 50 μg/m 3 for POA, and 15 μg/m 3 for SOA, respectively. The dry scattering coefficients of submicron particles (PM1 ) were reconstructed based on the algorithm for POA and SOA scattering coefficient and further verified by using multi-site data. The calculated dry scattering coefficients using our reconstructing algorithm have good consistency with the measured ones, with the high correlation and small deviation in Shanghai (R 2 = 0.98; deviations: 2.9%) and Dezhou (R 2 = 0.90; deviations: 4.7%), indicating that our algorithms for OA and PM1 are applicable to predict the scattering coefficient of OA and Submicron particle (PM1 ) in China. Graphical abstract: Image 1 Highlights: The variations of MSEs for POA and SOA were investigated. The MSEs for POA and SOA increased rapidly as a function of mass concentration in low mass loading. MSEs declined at the threshold of mass loading were 50 and 15 μg/m 3 for POA and SOA, respectively. The algorithm for scattering coefficient of ambient OA were reconstructed.