Composition and origin of PM<sub>2.5</sub> aerosol particles in the upper Rhine valley in summer

Abstract

Abstract. We conducted a six-week measurement campaign in summer 2016 at a rural site about 11 km north of the city of Karlsruhe in southwest Germany in order to study the chemical composition and origin of aerosols in the upper Rhine valley. In particular, we deployed a single particle mass spectrometer (LAAPTOF) and an aerosol mass spectrometer (AMS) to provide complementary chemical information of the aerosol particles smaller than 2.5 µm. For the entire measurement period, the total aerosol particle mass was dominated by sodium salts contributing on average (36 ± 27) % to the total single particles. The total particulate organic compounds, sulfate, nitrate, and ammonium contributed on average (58 ± 12) %, (22 ± 7) %, (10 ± 1) %, and (9 ± 3) % to the total non-refractory particle mass, respectively. The regional transport model COSMO-ART was applied for source apportionment and to achieve a better understanding of the impact of complex transport pattern on the field observations. Combining field observations and model simulations, we attributed high particle numbers and SO2 concentrations observed at this rural site to industrial emissions from power plants and a refinery in Karlsruhe. In addition, two characteristic episodes with aerosol particle mass dominated by sodium salts particles compromising (70 ± 24) % of the total single particles and organic compounds comprising accounting for (77 ± 6) % of total non-refractory species, respectively, were investigated in detail. For the first episode, we identified relatively fresh and aged sea salt particles originating from the Atlantic Ocean more than 800 km away. These particles showed markers like m/z 129 C5H7NO2+ indicating the influence of anthropogenic emissions modifying their composition e.g., from chloride to nitrate salts during the long-range transport. For a 3-day episode including high organic mass concentrations, model simulations show that on average (74 ± 7) % of the particulate organics at this site were of biogenic origin. Detailed model analysis allowed us to find out that three subsequent peaks of high organic mass concentrations originated from different sources, including local emissions from the city and industrial area of Karlsruhe, regional transport from the city of Stuttgart (~64 km away), and potential local night-time formation and growths. Biogenic (forest) and anthropogenic (urban) emissions were mixed during transport and contributed to the formation of organic particles. In addition, topography, temperature inversion, and stagnant meteorological conditions also played a role in the build-up of higher organic particle mass concentrations. Furthermore, the model was evaluated using the field observations and corresponding sensitivity tests. The model results show good agreement with trends and concentrations observed for several trace gases (e.g., O3, NO2, and SO2) and aerosol particle compounds (e.g., ammonium and nitrate). However, the model underestimates the number of particles by an order of magnitude and underestimates the mass of organic particles by a factor of 2.3. The discrepancy was expected for particle number since the model does not include all nucleation processes. The missing organic mass indicates either an underestimated regional background, missing sources, and/or mechanisms in the model like night-time chemistry. This study demonstrates the potential of combining comprehensive field observations with dedicated transport modelling to understand the chemical composition and complex origin of aerosols.

Chromophores and chemical composition of brown carbon characterized at an urban kerbside by excitation-emission spectroscopy and mass spectrometry

“…The average wind speeds were 3.6 ± 1.8 (average ± standard deviation) m s -1 and 6.6 ± 1.8 m s -1 , respectively. Depending on meteorological conditions, local sources and regional transport had an impact on air quality in Karlsruhe (Shen et al, 2019). As shown in Figs.…”

“…Especially, positive matrix factorization (PMF) is commonly applied for AMS data analysis (Crippa et al, 2014;Mohr et al, 2012;Shen et al, 2019). According to PMF analysis, OA can be separated into e.g.…”

Single-particle characterization of polycyclic aromatic hydrocarbons in background air in northern Europe

“…In conjunction with the high number of nitratecontaining particles in this PAH cluster (Fig. 7d), we assume a large amount of secondary organic material and secondary nitrate for this type of particles (Shen et al, 2019b;Huang et al, 2019).…”

Chromophores and chemical composition of brown carbon characterized at an urban kerbside by excitation–emission spectroscopy and mass spectrometry

“…The aerosol mass spectrometer (AMS) is widely used to investigate sources and the chemical characteristics of OA. Positive matrix factorization (PMF) is commonly applied for AMS data analysis (Crippa et al, 2014;Mohr et al, 2012;Shen et al, 2019). According to PMF analysis, OA can be separated into e.g.…”