comparison of emissions inventories of anthropogenic air pollutants and greenhouse gases in china
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ID: 189264
2017
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Abstract
Anthropogenic air pollutant emissions have been increasing rapidly
in China, leading to worsening air quality. Modelers use emissions
inventories to represent the temporal and spatial distribution of these
emissions needed to estimate their impacts on regional and global air
quality. However, large uncertainties exist in emissions estimates. Thus,
assessing differences in these inventories is essential for the better
understanding of air pollution over China. We compare five different
emissions inventories estimating emissions of carbon dioxide (CO2), carbon
monoxide (CO), nitrogen oxides (NOx), sulfur dioxide (SO2), and
particulate matter with an aerodynamic diameter of 10 µm or less
(PM10) from China. The emissions inventories analyzed in this paper
include the Regional Emission inventory in ASia v2.1 (REAS), the Multi-resolution
Emission Inventory for China (MEIC), the 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 Chinese economic activities
more than doubled. In addition to national totals, we also analyzed emissions
from four source sectors (industry, transport, power, and residential) and
within seven regions in China (East, North, Northeast, Central, Southwest,
Northwest, and South) and found that large disagreements exist among the five
inventories at disaggregated levels. These disagreements lead to differences
of 67 µg m−3, 15 ppbv, and 470 ppbv for monthly mean
PM10, O3, and CO, respectively, in modeled regional concentrations
in China. We also find that all the inventory emissions estimates create a
volatile organic compound (VOC)-limited environment and MEIC emissions lead to much lower O3 mixing
ratio in East and Central China compared to the simulations using REAS and
EDGAR estimates, due to their low VOC emissions. Our results illustrate that a
better understanding of Chinese emissions at more disaggregated levels is
essential for finding effective mitigation measures for reducing national and
regional air pollution in China.
| Reference Key |
saikawa2017atmosphericcomparison
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|---|---|
| Authors | ;E. Saikawa;H. Kim;M. Zhong;A. Avramov;Y. Zhao;G. Janssens-Maenhout;J.-I. Kurokawa;Z. Klimont;F. Wagner;V. Naik;L. W. Horowitz;Q. Zhang |
| Journal | Journal of agricultural and food chemistry |
| Year | 2017 |
| DOI |
10.5194/acp-17-6393-2017
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| URL | |
| Keywords |
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