Global Emission Inventory and Atmospheric Transport of Black Carbon: Evaluation of the Associated Exposure [Hardcover]

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. NalcU