| Literature DB >> 28959023 |
A C Eriksson1,2, C Wittbom3, P Roldin3,4, M Sporre5, E Öström3,6, P Nilsson7, J Martinsson3,6, J Rissler7, E Z Nordin7, B Svenningsson3, J Pagels7, E Swietlicki3.
Abstract
Fresh and aged diesel soot particles have different impacts on climate and human health. While fresh diesel soot particles are highly aspherical and non-hygroscopic, aged particles are spherical and hygroscopic. Aging and its effect on water uptake also controls the dispersion of diesel soot in the atmosphere. Understanding the timescales on which diesel soot ages in the atmosphere is thus important, yet knowledge thereof is lacking. We show that under cold, dark and humid conditions the atmospheric transformation from fresh to aged soot occurs on a timescale of less than five hours. Under dry conditions in the laboratory, diesel soot transformation is much less efficient. While photochemistry drives soot aging, our data show it is not always a limiting factor. Field observations together with aerosol process model simulations show that the rapid ambient diesel soot aging in urban plumes is caused by coupled ammonium nitrate formation and water uptake.Entities:
Year: 2017 PMID: 28959023 PMCID: PMC5620063 DOI: 10.1038/s41598-017-12433-0
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Normalized histograms for rural air passing (bars) and not passing (lines) Copenhagen upwind. Left: full campaign, right: northern air masses only. (a,b) NOx/O3, hourly data. (c,d) Particulate nitrate, 1 minute data. (e,f) Refractory black carbon (rBC), 1 minute data. g, h: cloud condensation nuclei (CCN) at 0.4% supersaturation (ss), hourly data.
Figure 2Chemically resolved mass weighted aerodynamic size distributions. Urban average (a), Fresh traffic dominated urban subset (b), rural average (c) and rural, urban plume influence subset (c). (e) comparison of the rural refractory black carbon distributions, with log-normal fits.
Plume conditions during transit from Copenhagen to rural station, from HYSPLIT4.
| Transit time [h] | Relative Humidity [%] | Temperature [C] | Irradiance [W/m2] | |
|---|---|---|---|---|
| Average (rBC weighted) | 5 | 86 | −1 | 59 |
| Max | 23 | 99 | 4 | 152 |
| Min | 2 | 74 | −6 | 0 |
Figure 3Mode particle diameter (Dva) as a function of rBC mass fraction. Copenhagen (urban, blue star), Vavihill (rural, red star) and three diesel exhaust smog chamber experiments. The smog chamber error bars denote precision of log-normal fitted mode diameter (95% CI) and three standard deviations (n = 5–10) of the measured rBC fractions. For ambient data (stars), the rBC mass fractions were measured with Differential Mobility Analyzer-Thermal Denuder-Aerosol Particle Mass Analyzer (DMA-TD-APM), and the error bars give the range of the observed non-volatile fraction (Rissler et al.[48]) for each mode. Solid lines represent agglomerated (blue) and spherical (red) particles both containing 1.2 fg BC. Dashed lines illustrate the implications on particle mass and shape. Dashed black lines show model results for 1.2 fg BC particles for three model ambient cases of trajectories between Copenhagen and Vavihill, see Table 2. Details in text.
Plume conditions, modeled cumulative OH exposure, NH3 concentration, and nitrate (NO3), BC, NOx and O3 enhancement/suppression at Vavihill due to the Copenhagen urban plume, for Cases 1–3.
| Case | Transit time [h] | RH (%) | Temp [C] | Irrad [W/m2] | OH [molec/cm3 h] | NH3 (ppbv) | *ΔNO3 [μg/m3] | *ΔBC [μg/m3] | *ΔNOx [ppbv] | *ΔO3 [ppbv] |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 5 | 80 | −4 | ~100 | 3.8 × 105 | 3.5 | 2.2 | 0.6 | 14 | −10 |
| 2 | 2 | 93 | +2 | 0 | 1.4 × 104 | 6.5 | 2.2 | 0.2 | 4 | −3 |
| 3 | 2 | 94 | +2 | ~50 | 3.2 × 105 | 8.1 | 1.2 | 0.2 | 12 | −5 |
*Values derived by taking the difference between the model results inside (at Vavihill) and outside the urban plume from Copenhagen.