Dergiler / Atmospheric Pollution Research / 2017 / Cilt: 8 - Sayı: 1

Chinese vehicle emissions characteristic testing with small sample size: Results and comparison

Sayfa
154–163
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The observed emission characteristics in this study are comparable with a US mobile source profiles published by Lough et al. (2007).

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Mobile emissions represent a main source of fine particulate matter (PM2.5) in China, however, few studies have tested the mobile source profiles of Chinese vehicles due to the high cost.
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Temel Bulgular & Veri:In this study, the exhaust emissions of 21 Chinese vehicles, which were divided into five groups according to weight and fuel type, were sampled using the chassis dynamometeredilution tunnel method.
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Sonuç & Katkı:The observed emission characteristics in this study are comparable with a US mobile source profiles published by Lough et al. (2007).
🔬Tür:Araştırma Makalesi
📍Kapsam:2007 Verileri
⚙️Değişkenler:Alan Parametreleri

Özet

Mobile emissions represent a main source of fine particulate matter (PM2.5) in China, however, few studies have tested the mobile source profiles of Chinese vehicles due to the high cost. In this study, the exhaust emissions of 21 Chinese vehicles, which were divided into five groups according to weight and fuel type, were sampled using the chassis dynamometeredilution tunnel method. PM2.5 mass, organic carbon (OC), elemental carbon (EC) and 190 compounds of organic matter were measured to compare emission characteristics with published mobile profiles. In this study, PM2.5 emission factors are higher for high mileage vehicles than new vehicles (255 and 115 mg/km). Among all vehicle emissions, OC averaged 55.4 ± 15.5% of PM2.5 mass while quantified organic carbon (QOC) averaged 4.5 ± 3.0% of PM2.5 mass. N-alkanes were the predominant species within QOC, averaging 57.0 ± 22.1% of QOCby mass. Normal-aliphatic acids, which are products of catalysis, were observed in the highest concentrations in light-duty gasoline cars. Concentrations of polycyclic aromatic hydrocarbons with more than five rings (large PAHs) differed between gasoline and diesel vehicles, suggesting that large PAHs like benzo[ghi] perylene and coronene could be used to distinguish between fuel types. Hopanes and steranes made up a relatively small fraction of QOC compared with other species (1.1%e16.7% of the total QOC mass) but the relative concentrations of hopanes were similar among different vehicle types. The observed emission characteristics in this study are comparable with a US mobile source profiles published by Lough et al. (2007).

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Bu Makaleye Atıf Yap

CAİ, T., ZHANG, Y., FANG, D., SHANG, J., ZHANG, Y., ZHANG, Y. (2017). Chinese vehicle emissions characteristic testing with small sample size: Results and comparison. Atmospheric Pollution Research, Cilt: 8 - Sayı: 1, 154–163. https://ajindex.com/articles/214889

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Kaynakça (10)

  1. Almeida, S.M., Pio, C.A., Freitas, M.C., Reis, M.A., Trancoso, M.A., 2005. Source apportionment of fine and coarse particulate matter in a sub-urban area at the Western European Coast. Atmos. Environ. 39, 3127-3138.
  2. Baek, S.O., Field, R.A., Goldstone, M.E., Kirk, P.W., Lester, J.N., Perry, R., 1991. A review of atmospheric polycyclic aromatic-hydrocarbons e sources, fate and behavior. Water Air Soil Pollut. 60, 279-300.
  3. Bond, T.C., Streets, D.G., Yarber, K.F., Nelson, S.M., Woo, J.H., Klimont, Z., 2004. A technology-based global inventory of black and organic carbon emissions from combustion. J. Geophys. Res. Atmos. 109. Cadle, S.H., Mulawa, P.A., Hunsanger, E.C., Nelson, K., Ragazzi, R.A., Barrett, R., Gallagher, G.L., Lawson, D.R., Knapp, K.T., Snow, R., 1999. Composition of lightduty motor vehicle exhaust particulate matter in the Denver, Colorado area. Environ. Sci. Technol. 33, 2328-2339.
  4. Coulter, T.C., 2004. EPA-CMB8. 2 Users Manual. US Environmental Protection Agency, Office of Air Quality Planning & Standards, Emissions, Monitoring & Analysis Division, Air Quality Modeling Group. He, L.Y., Hu, M., Huang, X.F., Yu, B.D., Zhang, Y.H., Liu, D.Q., 2004. Measurement of emissions of fine particulate organic matter from Chinese cooking. Atmos. Environ. 38, 6557-6564.
  5. Huang, W., Baumgartner, J., Zhang, Y.X., Wang, Y.Q., Schauer, J.J., 2015. Source apportionment of air pollution exposures of rural Chinese women cooking with biomass fuels. Atmos. Environ. 104, 79-87.
  6. Hughes, W.B., Holba, A.G., Dzou, L.I.P., 1995. The ratios of dibenzothiophene to phenanthrene and pristane to phytane as indicators of depositional environment and lithology of petroleum source rocks. Geochim. Cosmochim. Acta 59, 3581-3598.
  7. Kawamura, K., Kaplan, I.R., 1987. Motor exhaust emissions as a primary source for dicarboxylic-acids in Los-Angeles ambient air. Environ. Sci. Technol. 21, 105-110.
  8. Kawamura, K., Ng, L.L., Kaplan, I.R., 1985. Determination of organic-acids (C1-C10) in the atmosphere, motor exhausts, and engine oils. Environ. Sci. Technol. 19, 1082-1086.
  9. Lee, J.H., Hopke, P.K., 2006. Apportioning sources of PM2.5 in St. Louis, MO using speciation trends network data. Atmos. Environ. 40, S360-S377. Lee, S., Liu, W., Wang, Y.H., Russell, A.G., Edgerton, E.S., 2008. Source apportionment of PM2.5: comparing PMF and CMB results for four ambient monitoriniz sites in the southeastern United States. Atmos. Environ. 42, 4126-4137.
  10. Lough, G.C., Christensen, C.G., Schauer, J.J., Tortorel