Journals / Atmospheric Pollution Research / 2019 / Cilt: 10 - Sayı: 1

Cluster analysis of urban ultrafine particles size distributions

Pages
45–52
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Photochemical nucleationoccurred with a relatively low frequency but yielding very high PNC.

📌 3 Key Takeaways

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Objective & Hypothesis:Measurements of particle size distribution was made in one location of an urban area in the periodJanuary–September/2015 in order to understand the sources and mechanisms influencing ultrafine particle(UFP) number concentrations (PNC2.5-250) using a Scanning Mobility Particle Sizer Spectrometer (SMPS). k-means cluster analysis was applied to interpret the sources, temporal and spatial trends of UFP.
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Key Findings & Data:Many PSDs of the clusters were dominated by nucleation mode particles: midday nu-cleated fresh particles, photochemically induced (NPF); diurnal nucleation episodes (NPF2); growth of nucleatedparticles in nocturnal aging (GNPF).
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Conclusion & Impact:Photochemical nucleationoccurred with a relatively low frequency but yielding very high PNC.
🔬Design:Research Article
📍Scope:2015 Verileri
⚙️Variables:Domain Parameters

Özet

Measurements of particle size distribution was made in one location of an urban area in the periodJanuary–September/2015 in order to understand the sources and mechanisms influencing ultrafine particle(UFP) number concentrations (PNC2.5-250) using a Scanning Mobility Particle Sizer Spectrometer (SMPS). k-means cluster analysis was applied to interpret the sources, temporal and spatial trends of UFP. Eight clusterswere obtained. Main PSD patterns of each cluster, mean concentration of other air pollutants tracing specificsources and processes, and that of meteorological variables, as well as the hourly and seasonal frequencies ofoccurrence were used to support the interpretation of their origin. Thus, clusters were attributed to traffic rushhours, midday summer new particle formation, diurnal new particle formation and growth, growth of nucleatedand other urban particles, urban background, regional and urban background and regional and urban back-ground on cold nights. Many PSDs of the clusters were dominated by nucleation mode particles: midday nu-cleated fresh particles, photochemically induced (NPF); diurnal nucleation episodes (NPF2); growth of nucleatedparticles in nocturnal aging (GNPF). Origins of the clusters were related to local/regional sources (mostly trafficand biomass burning), atmospheric processes (photochemical formation and growth) and urban/regionalbackground. Results clearly shows that traffic is a major UFP source in nucleation mode and occurred in higherconcentrations in winter (08:00 to 12:00 h) during traffic rush hours, and at night. Photochemical nucleationoccurred with a relatively low frequency but yielding very high PNC.

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Cite This Article

AGUDELO-CASTANEDA, D. M., TEİXEİRA, E. C., BRAGA, M., ROLİM, S. B., SİLVA, L. F., BEDDOWS, D. C., HARRİSON, R. M., QUEROL, X. (2019). Cluster analysis of urban ultrafine particles size distributions. Atmospheric Pollution Research, Cilt: 10 - Sayı: 1, 45–52. https://ajindex.com/articles/351564

References (9)

  1. Agudelo-Castañeda, D.M., Teixeira, E.C., Rolim, S.B.A., Pereira, F.N., Wiegand, F., 2013.Measurement of particle number and related pollutant concentrations in an urbanarea in South Brazil. Atmos. Environ. 70, 254–262.https://doi.org/10.1016/j.atmosenv.2013.01.029. Agudelo-Castañeda, D.M., Teixeira, E.C., Schneider, I.L., Lara, S.R., Silva, L.F.O., 2017.Exposure to polycyclic aromatic hydrocarbons in atmospheric PM 1.0 of urban en-vironments: carcinogenic and mutagenic respiratory health risk by age groups.Environ. Pollut. 224, 158–170.https://doi.org/10.1016/j.envpol.2017.01.075.
  2. Atkinson, R.W., Kang, S., Anderson, H.R., Mills, I.C., Walton, H.A., 2014. Epidemiologicaltime series studies of PM2.5and daily mortality and hospital admissions: a systematicreview and meta-analysis. Thorax 69, 660–665.https://doi.org/10.1136/thoraxjnl-2013-204492.
  3. Beddows, D.C.S., Dall’Osto, M., Harrison, R.M., 2009. Cluster analysis of rural, urban, andcurbside atmospheric particle size data. Environ. Sci. Technol. 43, 4694–4700.http://dx.doi.org/10.1021/es803121t.
  4. Brines, M., Dall'Osto, M., Beddows, D.C.S., Harrison, R.M., Gómez-Moreno, F., Núñez, L.,Artíñano, B., Costabile, F., Gobbi, G.P., Salimi, F., Morawska, L., Sioutas, C., Querol,X., 2015. Traffic and nucleation events as main sources of ultrafine particles in high-insolation developed world cities. Atmos. Chem. Phys. 15, 5929–5945.https://doi.org/10.5194/acp-15-5929-2015.
  5. Brines, M., Dall'Osto, M., Beddows, D.C.S., Harrison, R.M., Querol, X., 2014. Simplifyingaerosol size distributions modes simultaneously detected at four monitoring sitesduring SAPUSS. Atmos. Chem. Phys. 14, 2973–2986.https://doi.org/10.5194/acp-14-2973-2014.
  6. Buonanno, G., Morawska, L., 2015. Ultrafine particle emission of waste incinerators andcomparison to the exposure of urban citizens. Waste Manag. 37, 75–81. https://doi.org/10.1016/j.wasman.2014.03.008.Charron,
  7. A., Harrison, R.M., 2003. Primary particle formation from vehicle emissionsduring exhaust dilution in the roadside atmosphere. Atmos. Environ. 37, 4109–4119.https://doi.org/10.1016/S1352-2310(03)00510-7.
  8. Cheung, H.C., Chou, C.C.-K., Huang, W.-R., Tsai, C.-Y., 2013. Characterization of ultrafineparticle number concentration and new particle formation in an urban environmentof Taipei, Taiwan. Atmos. Chem. Phys. 13, 8935–8946.https://doi.org/10.5194/acp-13-8935-2013.
  9. Dall'Osto, M., Beddows, D.C.S., Pey, J., Rodriguez, S., Alastuey, A., Harrison, R.M.,Querol, X., 2012. Urban aerosol size dist