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Global Emission Inventory and Atmospheric Transport of Black Carbon

Evaluation of the Associated Exposure

Rong Wang (Autor)

Buch | Hardcover

XIV, 153 Seiten

2015 | 2015
Springer Berlin (Verlag)
978-3-662-46478-6 (ISBN)

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This thesis presents research focusing on the improvement of high-resolution global black carbon (BC) emission inventory and application in assessing the population exposure to ambient BC. A particular focus of the thesis is on the construction of a high-resolution (both spatial and sectorial) fuel consumption database, which is used to develop the emission inventory of black carbon. Above all, the author updates the global emission inventory of black carbon, a resource subsequently used to study the atmospheric transport of black carbon over Asia with the help of a high-resolution nested model. The thesis demonstrates that spatial bias in fuel consumption and BC emissions can be reduced by means of the sub-national disaggregation approach. Using the inventory and nested model, ambient BC concentrations can be better validated against observations. Lastly, it provides a complete uncertainty analysis of global black carbon emissions, and this uncertainty is taken into account in the atmospheric modeling, helping to better understand the role of black carbon in regional and global air pollution.

Study area: The atmospheric emission and transport of greenhouse gases, aerosol species and trace elements, as well as the interactions of these atmospheric tracers with the Earth climate system. Honors: 2014 Marie Curie International Incoming Fellowship, Europe Commission 2013 Excellent Ph.D Dissertation Award, Peking University, China 2012 Novel Research Award, College of Urban & Environ Science, Peking University, China 2012 Young Scientist Award, Ministry of Education of the People's Republic of China, China 2008 Young Voice Award, Better Air Quality Workshop, Bangkok Publications: R. Wang, S. Tao, Y. Balkanski, P. Ciais, O. Boucher, et al. Exposure to ambient black carbon derived from a unique inventory and high resolution model. Proc. Natl. Acad. Sci. USA. 2014, 111(7), 2459-2463. R. Wang, S. Tao, P. Ciais, H. Z. Shen, Y. Huang, H. Chen, G. F. Shen, B. Wang, W. Li1, Y. Y. Zhang, Y. Lu, D. Zhu, Y. C. Chen, X. P. Liu, W. T. Wang, X. L. Wang, W. X. Liu, B. G. Li, and S. L. Piao. High resolution mapping of combustion processes and implications for CO2 emissions. Atmos. Chem. Phys., 2013, 13, 5189-5203. R. Wang, S. Tao, W. Wang, J. Liu, H. Shen, G. Shen, B. Wang, X. Liu, W. Li, Y. Huang, Y. Zhang, Y. Lu, H. Chen, Y. Chen, C. Wang, D. Zhu, X. Wang, B. Li, W. Liu, J. Ma. Black carbon emissions in China from 1949 to 2050. Environ. Sci. & Technol., 2012, 46, 7595-7603. R. Wang, S. Tao, H. Shen, X. Wang, B. Li, G. Shen, B. Wang, W. Li, X. Liu, Y. Huang, Y. Zhang, Y. Lu, H. Ouyang. Global emission of black carbon from motor vehicles from 1960 to 2006. Environ. Sci. & Technol., 2012, 46, 1278-1284. R. Wang, S. Tao, B. Wang, Y. Yang, C. Lang, Y.Z. Zhang, J. Hu, J.M. Ma, H. Hung. Sources and pathways of polycyclic aromatic hydrocarbons transported to Alert, the Canadian High Arctic. Environ. Sci. & Technol., 2010, 44, 1017-1022. R. Wang; H.Y. Cao, W. Li, W. Wang, W. T. Wang, L.W. Zhang, J.M. Liu, H. Ouyang, S. Tao. Spatial and seasonal variations of polycyclic aromatic hydrocarbons in Haihe Plain, China. Environ. Pollut., 2011, 159, 1413-1418. R. Wang, C. Lang, J. Cao, S. Tao, G. Zhang. A probabilistic model for transport of air pollutants based on forward trajectory calculations. Acta Sci. Circum., 2009, 29(7), 1-6. R. Wang, Q. He, Y Wang, J Cao, S. Tao, H. Peng, Y. Liu, B. Meng. Impact of Dissolved Organic Matter on Sorption and Absorption of Fluorene and Phenanthrene to Maize Root. J. Agr. Environ. Sci., 2009, 28(1), 35-39. R. Wang, H. Peng, S. Lu, J. Cao, B. Meng. Performance Assessment of TOC-5000A and Aurora 1030W. Environ. Monitoring in China. 2008, 4(6), 52-56. Y. Chen, R. Wang, H. Shen, et al. Global mercury emissions from combustion in light of international fuel trading. Environ. Sci. & Technol., 2014, 48 (3), 1727-1735. D. Zhu, S. Tao, R. Wang, H. Shen, Y. Huang, G. Shen, B. Wang, W. Li, Y. Zhang, H. Chen, Y. Chen, J. Liu, B. Li, X. Wang, W. Liu. Temporal and spatial trends of residential energy consumption and air pollutant emissions in China, 2013, App. Energ., 106, 17-24. H. Shen, Y. Huang, R. Wang, D. Zhu, W. Li, G. Shen, B. Wang, Y. Zhang, Y. Chen, Y. Lu, H. Chen, T. Li, K. Sun, B. Li, W. Liu, J. Liu, S. Tao. Global Atmospheric Emissions of polycyclic aromatic hydrocarbons from 1960 to 2008 and future predictions. Environ. Sci. & Technol., 2013, 47, 6415-6424. H. Shen, S. Tao, R. Wang, B. Wang, G. Shen, W. Li, S. Su, Y. Huang, X.L. Wang, W.X. Liu, B.G. Li, K. Sun. Global time trends in PAH emissions from motor vehicles. Atmos. Environ., 2011, 45, 2067-2073. S. Luyssaert, G. Abril, R. Andres, D. Bastviken, V. Bellassen, P. Bergamaschi, P. Bousquet, F. Chevallier, P. Ciais, M. Corazza, R. Dechow, K.-H. Erb, G. Etiope, A. Fortems-Cheiney, G. Grassi, J. Hartmann, M. Jung, J. Lathière, A. Lohila, E. Mayorga, N. Moosdorf, D. S. Njakou, J. Otto, D. Papale, W. Peters, P. Peylin, P. Raymond, C. Rödenbeck, S. Saarnio, E.-D. Schulze, S. Szopa, R.

Introduction.- Research Background.- Methodology.- Global high-resolution fuel combustion data set.- Global emissions of black carbon from motor vehicles.- Black carbon emissions in China.- Global black carbon emission inventory.- Atmospheric transport modelling of black carbon.- Global population exposure to ambient black carbon.- Conclusion and limitation.

Erscheint lt. Verlag	25.3.2015
Reihe/Serie	Springer Theses
Zusatzinfo	XIV, 153 p. 76 illus., 55 illus. in color.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	421 g
Themenwelt	Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
	Naturwissenschaften ► Geowissenschaften ► Geologie
	Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie
	Technik
Schlagworte	Air Pollution • air pollution and air quality • Black Carbon • climate change • Combustion • Emission Factors • Emission Inventory • exposure • Model Resolution • Transport Model • uncertainty analysis
ISBN-10	3-662-46478-0 / 3662464780
ISBN-13	978-3-662-46478-6 / 9783662464786
Zustand	Neuware