Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
doi:10.5194/acp-2016-888
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
27 Oct 2016
Review status
A revision of this discussion paper was accepted for the journal Atmospheric Chemistry and Physics (ACP) and is expected to appear here in due course.
Comparison of Emissions Inventories of Anthropogenic Air Pollutants in China
Eri Saikawa1,2, Hankyul Kim2, Min Zhong1, Yu Zhao3, Greet Janssens-Maenhout4, Jun-ichi Kurokawa5, Zbigniew Klimont6, Fabian Wagner7, Vaishali Naik8, Larry Horowitz8, and Qiang Zhang9 1Department of Environmental Sciences, Emory University, Atlanta, GA
2Rollins School of Public Health, Emory University, Atlanta, GA
3School of the Environment, Nanjing University, Nanjing, China
4European Commission, Joint Research Centre, Directorate of Energy, Transport and Climate, Via Fermi, 2749, 21027 Ispra (VA), Italy
5Asia Center for Air Pollution Research, 1182 Sowa, Nishi-ku, Niigata, Niigata, 950-2144, Japan
6International Institute for Applied Systems Analysis, Laxenburg, Austria
7Andlinger Center for Energy and the Environment, Princeton University, Princeton, NJ
8NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
9Center for Earth System Science, Tsinghua University, Beijing, China
Abstract. Anthropogenic air pollutant emissions have been increasing rapidly in China. Modelers use emissions inventories to assess temporal and spatial distribution of these emissions to estimate their impacts on regional and global air quality. However, large uncertainties exist in emissions estimates and assessing discrepancies in these inventories is essential for better understanding of the trends in air pollution over China. We compare five different emissions inventories estimating emissions of carbon monoxide (CO), nitrogen oxides (NOx), sulfur dioxide (SO2), particulate matter with an aerodynamic diameter of 10 um or less (PM10) from China. The emissions inventories analyzed in this paper include Regional Emissions inventory in ASia v2.1 (REAS); Multi-resolution Emission Inventory for China (MEIC); Emission Database for Global Atmospheric Research v4.2 (EDGAR); the inventory by Yu Zhao (ZHAO); and the Greenhouse Gas and Air Pollution Interactions and Synergies (GAINS). We focus on the period between 2000 and 2008 during which the Chinese economic activities have more than doubled. In addition to the national total, we also analyzed emissions from four source sectors (industry, transportation, power, and residential) and within seven regions in China (East, North, Northeast, Central, Southwest, Northwest, and South) and found that large disagreements (~ seven fold) exist among the five inventories at disaggregated levels. These discrepancies lead to differences of 67 ug/m3, 15 ppbv, and 470 ppbv for monthly mean PM10, O3, and CO, respectively, in modelled regional concentrations in China. We also find that MEIC inventory emissions estimates create a VOC-limited environment that produces much lower O3 mixing ratio in the East and Central China compared to the simulations using REAS and EDGAR estimates. Our results illustrate that a better understanding of Chinese emissions at more disaggregated levels is essential for finding an effective mitigation measure for reducing national and regional air pollution in China.

Citation: Saikawa, E., Kim, H., Zhong, M., Zhao, Y., Janssens-Maenhout, G., Kurokawa, J.-I., Klimont, Z., Wagner, F., Naik, V., Horowitz, L., and Zhang, Q.: Comparison of Emissions Inventories of Anthropogenic Air Pollutants in China, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-888, in review, 2016.
Eri Saikawa et al.
Eri Saikawa et al.
Eri Saikawa et al.

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Short summary
We analyze discrepancies in five existing air pollutant emissions inventories to better understand air pollution trends in China. We find large disagreements when we analyze emissions from four source sectors (industry, transportation, power, and residential) and within seven regions (East, North, Northeast, Central, Southwest, Northwest, and South). Such discrepancies have a significant impact on regional air quality estimates and a better understanding of Chinese emissions is essential.
We analyze discrepancies in five existing air pollutant emissions inventories to better...
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