Reply on RC1

Abstract

Effective density is one of the most important physical properties of atmospheric particles. It is closely linked to particle chemical composition and morphology, and could provide special information on particle emissions and aging processes. In this study, size-resolved particle effective density was measured with a combined DMA-CPMA-CPC system in Multiphase chemistry experiment in Fogs and Aerosols in the North China Plain (McFAN) in autumn 2019. With a new developed flexible Gaussian fit algorithm, frequent (77–87 %) bimodal distribution of particle effective density is identified, with a low-density mode (named sub-density mode) accounting for 22–27 % of total observed particles. The prevalence of the sub-density mode is closely related to fresh black carbon (BC) emissions. The geometric mean for the main-density mode (eff,main) increases from 1.18 g cm−3 (50 nm) to 1.37 g cm−3 (300 nm) due to larger fraction of high-density components and more significant restructuring effect at large particle sizes, but decreases from 0.89 g cm−3 (50 nm) to 0.62 g cm−3 (300 nm) for the sub-density mode (eff,sub) ascribed to the agglomerate effect. eff,main and eff,sub show similar diurnal cycles with peaks in the early afternoon, mainly attributed to the increasing mass fraction of high material density components associated with secondary aerosol production, especially of secondary inorganic aerosol (SIA). To investigate the impact of chemical composition, bulk particle effective density was calculated based on measured chemical composition (ρeff,ACSM) and compared with the average effective density at 300 nm (eff,tot,300 nm). The best agreement between the two densities is achieved when assuming a BC effective density of 0.60 g cm−3. The particle effective density is highly dependent on SIA and BC mass fractions. The influence of BC on the effective density is even stronger than SIA, implying the importance and necessity of including BC in the estimate of effective density for ambient particles.