Differentiating the Contributions of Particle Concentration, Humidity, and Hygroscopicity to Aerosol Light Scattering at Three Sites in China

dc.contributor.authorJin, Xiaoai
dc.contributor.authorLi, Zhanqing
dc.contributor.authorWu, Tong
dc.contributor.authorWang, Yuying
dc.contributor.authorSu, Tianning
dc.contributor.authorRen, Rongmin
dc.contributor.authorWu, Hao
dc.contributor.authorZhang, Dongmei
dc.contributor.authorLi, Shangze
dc.contributor.authorCribb, Maureen
dc.date.accessioned2023-10-03T16:38:49Z
dc.date.available2023-10-03T16:38:49Z
dc.date.issued2022-11-23
dc.description.abstractThe scattering of light by aerosol particles dictates atmospheric visibility, which is a straightforward indicator of air quality. It is affected by numerous factors, such as particle number size distribution, particle mass concentration (PM2.5), ambient relative humidity (RH), and chemical composition. The latter two factors jointly influence the aerosol liquid water content (ALWC). Here, the particle backscattering coefficient (βp) under ambient RH conditions is investigated to differentiate and quantify the contributions of aerosol properties and meteorology using comprehensive observational datasets acquired at three megacities in China, that is, Beijing (BJ), Nanjing (NJ), and Guangzhou (GZ). Overall, the temporal variations in βp under ambient RH conditions are consistent with those in ALWC at the three sites. The PM2.5 in BJ is systematically higher than in NJ and GZ, while ambient RH and aerosol hygroscopicity in NJ are much higher than in BJ and GZ. Notable differences in the variations of βp with related factors at the three sites are demonstrated. βp is more sensitive to particle hygroscopicity and mass in NJ and ambient RH in BJ. The relative contributions of these factors to βp at the three sites under different pollution conditions are differentiated and quantified. The factor with the largest impact on the variability in βp shifts from particle mass to ambient RH as air quality deteriorated to heavy pollution in BJ. The opposite is true in NJ. In GZ, the contributions of these factors to changes in βp under different pollution conditions are similar, both dominated by PM2.5.
dc.description.urihttps://doi.org/10.1029/2022JD036891
dc.identifierhttps://doi.org/10.13016/dspace/mmvy-7lk3
dc.identifier.citationJin, X., Li, Z., Wu, T., Wang, Y., Su, T., Ren, R., et al. (2022). Differentiating the contributions of particle concentration, humidity, and hygroscopicity to aerosol light scattering at three sites in China. Journal of Geophysical Research: Atmospheres, 127, e2022JD036891.
dc.identifier.urihttp://hdl.handle.net/1903/30658
dc.language.isoen_US
dc.publisherWiley
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtAtmospheric & Oceanic Scienceen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectaerosol scattering
dc.subjectaerosol liquid water
dc.subjectaerosol hygroscopicity
dc.titleDifferentiating the Contributions of Particle Concentration, Humidity, and Hygroscopicity to Aerosol Light Scattering at Three Sites in China
dc.typeArticle
local.equitableAccessSubmissionNo

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