comparison and evaluation of anthropogenic emissions of so2 and nox over china
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2018
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Abstract
Bottom-up emission inventories provide primary understanding of
sources of air pollution and essential input of chemical transport
models. Focusing on SO2 and NOx, we conducted
a comprehensive evaluation of two widely used anthropogenic emission
inventories over China, ECLIPSE and MIX, to explore the potential
sources of uncertainties and find clues to improve emission
inventories. We first compared the activity rates and emission
factors used in two inventories and investigated the reasons of
differences and the impacts on emission estimates. We found that
SO2 emission estimates are consistent between two
inventories (with 1 % differences), while NOx
emissions in ECLIPSE's estimates are 16 % lower than those of
MIX. The FGD (flue-gas desulfurization) device penetration rate and
removal efficiency, LNB (low-NOx burner) application
rate and abatement efficiency in power plants, emission factors of
industrial boilers and various vehicle types, and vehicle fleet need
further verification. Diesel consumptions are quite uncertain in
current inventories. Discrepancies at the sectorial and provincial levels
are much higher than those of the national total. We then examined
the impacts of different inventories on model performance by using
the nested GEOS-Chem model. We finally derived top-down emissions by
using the retrieved columns from the Ozone Monitoring Instrument
(OMI) compared with the bottom-up estimates. High correlations
were observed for SO2 between model results and OMI
columns. For NOx, negative biases in bottom-up gridded
emission inventories (−21 % for MIX, −39 % for ECLIPSE)
were found compared to the satellite-based emissions. The emission trends
from 2005 to 2010 estimated by two inventories were both consistent
with satellite observations. The inventories appear to be fit for evaluation of
the policies at an aggregated or national level; more work is needed
in specific areas in order to improve the accuracy and robustness of
outcomes at finer spatial and also technological levels. To our
knowledge, this is the first work in which source comparisons
detailed to technology-level parameters are made along with the
remote sensing retrievals and chemical transport modeling. Through
the comparison between bottom-up emission inventories and evaluation
with top-down information, we identified potential directions for
further improvement in inventory development.
| Reference Key |
li2018atmosphericcomparison
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|---|---|
| Authors | ;M. Li;M. Li;M. Li;Z. Klimont;Q. Zhang;R. V. Martin;B. Zheng;C. Heyes;J. Cofala;Y. Zhang;Y. Zhang;K. He |
| Journal | Journal of agricultural and food chemistry |
| Year | 2018 |
| DOI |
10.5194/acp-18-3433-2018
|
| URL | |
| Keywords |
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