Global Emission Inventory and Atmospheric Transport of Black Carbon

Evaluation of the Associated Exposure

  • Rong Wang

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Rong Wang
    Pages 1-8
  3. Rong Wang
    Pages 9-27
  4. Rong Wang
    Pages 29-68
  5. Rong Wang
    Pages 151-153

About this book


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.


Air Pollution Black Carbon Combustion Emission Factors Emission Inventory Exposure Model Resolution Transport Model Uncertainty Analysis

Authors and affiliations

  • Rong Wang
    • 1
  1. 1.Laboratory for Earth Surface Processes,College of Urban and Environmental Sciences, Peking UniversityBeijingChina

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-662-46478-6
  • Online ISBN 978-3-662-46479-3
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
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