the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 25 Nov 2024
Measurement report: size-resolved particle effective density measured by the AAC-SMPS and implications for chemical composition
Abstract. The effective density (ρeff) is closely associated with the aging process and can serve as a tracer for chemical composition. Recently, studies investigating the effect of particle size on density have been limited. In this study, size-resolved ρeff was characterized with a tandem of an aerodynamic aerosol classifier (AAC) and a scanning mobility particle sizer (SMPS) system during one month of observation in Hangzhou. The results indicate that the ρeff values of the particles exhibit a unimodal distribution, with average values ranging from 1.47 g/cm3 to 1.63 g/cm3, increasing as the particle diameter increases. The diurnal variation is more pronounced for small particles (dae <350 nm), which generally exhibit lower density during the day and higher density at night. The relationship between ρeff and particle diameter varies under different pollution conditions due to differences in the chemical composition of the particles. additive explanations (SHAPs) revealed good relationships between ρeff and the bulk composition of particles with diameters smaller than 350 nm. Since the size-resolved chemical composition of particles is still challenging, a new method to investigate the size-resolved chemical composition was proposed, in which the size-resolved composition can be derived from the ρeff and fixed material density of secondary inorganic aerosols (SIAs), organic aerosols (OAs) and black carbon (BC).
- Preprint
(1087 KB) - Metadata XML
-
Supplement
(1105 KB) - BibTeX
- EndNote
Status: open (until 06 Jan 2025)
-
RC1: 'Comment on egusphere-2024-3298', Anonymous Referee #1, 05 Dec 2024
reply
The study investigated size-resolved particle effective density and its relationship with chemical composition, which has implications for air quality, climate, and health. The use of AAC-SMPS in tandem with machine learning (ML) techniques, such as SHAP analysis, demonstrates a commendable level of innovation. However, I have two concerns: first, I am somewhat worried about the accuracy of the measurements from the entire system. Second, one of the highlights of the paper is using size-resolved effective density to infer particle composition, but the paper does not provide composition information for different sizes for comparison. I recommend a major revision of the paper.
Comments:
Why does the effective density of ammonium sulfate increase with particle size, while ammonium nitrate remains relatively stable (Fig. S2 )? I’m curious about the measurement results of this system for the effective density of PSL (polystyrene latex) spheres with different particle sizes. Since PSL spheres are essentially regular spherical shapes, their effective density should theoretically equal the material density (1.05 g/cm³). If the effective density of PSL spheres with different sizes cannot remain stable, I suspect that the observed relationship between effective density and particle size may not reflect the true situation but rather a bias in the observation system.
Line 85 Please specify the resolution (Rs) of AAC, the sheath of DMA, and the scanning settings of SMPS(such as diameter range, time for one scan, how many SMPS scans in 5 min). The Rs and DMA sheath could both influence the uncertainty of the results. Besides, After the authors provide these parameters, it is recommended that they perform an uncertainty analysis.
Line 98 The effective density of BC (could be smaller than 0.5 g/cm3 for fresh BC) is totally different from BC’s material density (~1.8 g/cm3), Is it reasonable to use the material density of black carbon to calculate the overall effective density?
Line 128-143 Another possibility for the unimodal distribution is that the minimum particle size setting for this observation was Dae = 200 nm, and the aerodynamic diameter of most fresh black carbon particles is smaller than this, so the bimodal distribution could not be detected.
Line 165 Please improve the clarity of Figure 3, especially as the figure legend is a bit blurry.
Line 190 I have two questions regarding the measurement and discussion of large particles (Dae = 531 nm):
(1) It was mentioned earlier (line 92) that particles with a mobility diameter exceeding 600 nm were not used in Gaussian fitting. How significant is the impact of this on the effective density determination at 531 nm?
(2) The number concentration of large particles is relatively small. After AAC selection, can the size distribution measured by SMPS still be fitted with a Gaussian function? I would like to see the size distribution scans by SMPS at different Dae values."Citation: https://doi.org/10.5194/egusphere-2024-3298-RC1
Data sets
Data of measurement report: size-resolved particle effective density measured by the AAC-SMPS and implications for chemical composition Y. Song et al. https://doi.org/10.5281/zenodo.13981448
Viewed
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 104 | 34 | 5 | 143 | 21 | 1 | 1 |
- HTML: 104
- PDF: 34
- XML: 5
- Total: 143
- Supplement: 21
- BibTeX: 1
- EndNote: 1
Viewed (geographical distribution)
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1