Journals / Atmospheric Pollution Research / 2020 / Cilt: 11 - Sayı: 4

Emission characteristics and chemical composition of particulate matter emitted by typical non-road construction machinery

Pages
679–685
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

The results show that the fraction of the chemical components including elements, WSIs, OC/EC and PAHs to particulate matter is from 67.30% to 64.10%.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:According to the latest China Construction Machinery Industry Yearbook 2017, forklifts, loaders and excavators are three types of construction machinery that comprise the largest proportion of construction machinery in China.
📊
Key Findings & Data:A Portable Emission Measurement System (PEMS) was used to obtain instantaneous exhaust emissions, and a portable particulate sampling system was used to collect PM2.5 samples from three types of construction machinery.
💡
Conclusion & Impact:The results show that the fraction of the chemical components including elements, WSIs, OC/EC and PAHs to particulate matter is from 67.30% to 64.10%.
🔬Design:Research Article
📍Scope:2017 · 2.5 samples
⚙️Variables:Domain Parameters

Özet

According to the latest China Construction Machinery Industry Yearbook 2017, forklifts, loaders and excavators are three types of construction machinery that comprise the largest proportion of construction machinery in China. To study the emission characteristics of non-road mobile machinery, three types of non-road construction machinery used in the city were selected for testing and sampling. A Portable Emission Measurement System (PEMS) was used to obtain instantaneous exhaust emissions, and a portable particulate sampling system was used to collect PM2.5 samples from three types of construction machinery. The elements, water-soluble ions (WSIs), organic carbon (OC)/elemental carbon (EC) and polycyclic aromatic hydrocarbons (PAHs) were analysed. The China III standards for non-road construction machinery are stricter than the China II and China I construction machinery standards, indicating that strict regulations can help reduce PM emissions from non-road construction machinery. The results show that the fraction of the chemical components including elements, WSIs, OC/EC and PAHs to particulate matter is from 67.30% to 64.10%. The SO4 2−/NO3 − ratio of each test vehicle is less than 1. The CE/AE values are all greater than 1, and the exhaust particles are alkaline. The estimated concentrations of secondary organic carbon (SOC) in the particulates discharged from loaders, excavators and forklifts are 3.73 mg/m3 , 0.25 mg/m3 and 0.42 mg/m3 , respectively, indicating the presence of secondary aerosols. The LMW-PAHs and MMW-PAHs were the major PAH species in the particulate matter, whereas a low concentration of HMW-PAHs is considered to be more harmful to human health than the other PAHs. All the PAH BaPeq values are higher than the BaP concentrations recommended by the World Health Organization. Compared with previous study, an increase in the emission standards for non-road mobile machinery can lead to a decline in pollutant emissions. In addition, the driving conditions, engine parameters, and the age of the vehicle and of non-road construction machinery, as well as the experimental methods used to study these variables, may affect the composition of exhaust emissions.

🔖

Cite This Article

ZHANG, Q., YANG, L., MA, C., ZHANG, Y., WU, L., MAO, H. (2020). Emission characteristics and chemical composition of particulate matter emitted by typical non-road construction machinery. Atmospheric Pollution Research, Cilt: 11 - Sayı: 4, 679–685. https://ajindex.com/articles/143346

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. References Anita, L., Lucyna, F., Dominika, M., Dorota, P., Dorota, B., Magdalena, B.D., 2010. Elemental and organic carbon in aerosols over urbanized coastal region (southern Baltic Sea, Gdynia). Sci. Total Environ. 408, 4761–4769.
  2. Campa, A.M.S.D.L., Pio, C., Rosa, J.D.D.L., Querol, X., Alastuey, A., González-Castanedo, Y., 2009. Characterization and origin of EC and OC particulate matter near the Doñana National Park (SW Spain) ☆. Environ. Res. 109, 671–681. CCMA. China Construction Machinery Industry Yearbook, 2017. China Construction Machinery Association 2017.
  3. Cheng, Y., Lee, S., Ho, K., Chow, J., Watson, J., Louie, P., et al., 2010. Chemically-speciated on-road PM2. 5 motor vehicle emission factors in Hong Kong. Sci. Total Environ. 408, 1621–1627.
  4. Cheng, S., Yang, L., Zhou, X., Xue, L., Gao, X., Yang, Z., et al., 2011. Size-fractionated water-soluble ions, situ pH and water content in aerosol on hazy days and the influences on visibility impairment in Jinan, China. Atmos. Environ. 45, 4631–4640.
  5. Chow, J.C., Watson, J.G., Kuhns, H., Etyemezian, V., Lowenthal, D.H., Crow, D., et al., 2004. Source profiles for industrial, mobile, and area sources in the big bend regional aerosol visibility and observational study. Chemosphere 54, 185–208.
  6. Cui, M., Chen, Y., Feng, Y., Li, C., Zheng, J., Tian, C., et al., 2017. Measurement of PM and its chemical composition in real-world emissions from non-road and on-road diesel vehicles. Atmos. Chem. Phys. 17, 6779–6795.
  7. Deng, W., Hu, Q., Liu, T., Wang, X., Zhang, Y., Song, W., et al., 2017. Primary particulate emissions and secondary organic aerosol (SOA) formation from idling diesel vehicle exhaust in China. Sci. Total Environ. 593, 462–469.
  8. Dunker, A.M., Koo, B., Yarwood, G., 2019. Source apportionment of organic aerosol and ozone and the effects of emission reductions. Atmos. Environ. 198, 89–101. EEA, 2019. European Union Emission Inventory Report 1990-2017.
  9. European Environment Agency. Fang, X., Bi, X., Hong, X., Wu, J., Zhang, Y., Feng, Y., 2017. Source apportionment of ambient PM 10 and PM 2.5 in Haikou, China. Atmos. Res. 190, 1–9.
  10. Fu, M., Ge, Y., Tan, J., Zeng, T., Liang, B., 2012. Characteristics of typical non-road machinery emissions in China by using portable emission measurement system. Sci. Total Environ. 437, 255–261.
  11. Green, M.C., Chow, J.C., Chang, M.C.O., Chen, L.W.A., Kuhns, H.D., Etyemezian, V.R., et al., 2013. Source apportionment of atmospheric particulate carbon in Las Vegas, Nevada, USA. Particu