Abstract
The main aim of this paper is to update existing sulfur dioxide (SO2) emission inventories over China using
modern inversion techniques, state-of-the-art chemistry transport modelling (CTM) and satellite observations of
SO2. Within the framework of the EU Seventh Framework Programme (FP7) MarcoPolo (Monitoring and Assessment of Regional air quality in China using
space Observations) project, a new SO2 emission inventory over China was calculated using the
CHIMERE
v2013b CTM simulations, 10 years of Ozone Monitoring Instrument (OMI)/Aura total SO2 columns and the pre-existing Multi-resolution Emission
Inventory for China (MEIC v1.2). It is shown that including satellite observations in the calculations increases the
current bottom-up MEIC inventory emissions for the entire domain studied (15–55° N,
102–132° E) from 26.30 to 32.60 Tg annum−1, with positive updates which are stronger in winter
( ∼ 36 % increase). New source areas were identified in the southwest
(25–35° N, 100–110° E) as well as in the northeast (40–50° N, 120–130° E) of the domain studied as
high SO2 levels were observed by OMI, resulting in increased emissions in the a posteriori inventory that do not
appear in the original MEIC v1.2 dataset. Comparisons with the independent Emissions Database for Global Atmospheric
Research, EDGAR v4.3.1, show a satisfying agreement since the EDGAR 2010 bottom-up database provides
33.30 Tg annum−1 of SO2 emissions. When studying the entire OMI/Aura time period (2005 to 2015),
it was shown that the SO2 emissions remain nearly constant before the year 2010, with a drift of
−0.51 ± 0.38 Tg annum−1, and show a statistically significant decline after the year 2010 of
−1.64 ± 0.37 Tg annum−1 for the entire domain. Similar findings were obtained when focusing on the
greater Beijing area (30–40° N, 110–120° E) with pre-2010 drifts of
−0.17 ± 0.14 and post-2010 drifts of −0.47 ± 0.12 Tg annum−1. The new SO2
emission inventory is publicly available and forms part of the official EU MarcoPolo emission inventory over China, which
also includes updated NOx, volatile organic compounds and particulate matter emissions.
Citation
ID:
173969
Ref Key:
koukouli2018atmosphericupdated