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Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions
Ist Teil von
Atmospheric chemistry and physics, 2018-10, Vol.18 (19), p.14095-14111
Ort / Verlag
Katlenburg-Lindau: Copernicus GmbH
Erscheinungsjahr
2018
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
To tackle the problem of severe air pollution, China has implemented active
clean air policies in recent years. As a consequence, the emissions of major
air pollutants have decreased and the air quality has substantially improved.
Here, we quantified China's anthropogenic emission trends from 2010 to 2017
and identified the major driving forces of these trends by using a
combination of bottom-up emission inventory and index decomposition analysis
(IDA) approaches. The relative change rates of China's anthropogenic
emissions during 2010–2017 are estimated as follows: −62 % for
SO2, −17 % for NOx, +11 % for nonmethane
volatile organic compounds (NMVOCs), +1 % for NH3, −27 %
for CO, −38 % for PM10, −35 % for PM2.5, −27 %
for BC, −35 % for OC, and +16 % for CO2. The IDA results
suggest that emission control measures are the main drivers of this
reduction, in which the pollution controls on power plants and industries are
the most effective mitigation measures. The emission reduction rates markedly
accelerated after the year 2013, confirming the effectiveness of China's
Clean Air Action that was implemented since 2013. We estimated that during
2013–2017, China's anthropogenic emissions decreased by 59 % for
SO2, 21 % for NOx, 23 % for CO, 36 % for
PM10, 33 % for PM2.5, 28 % for BC, and 32 % for OC.
NMVOC emissions increased and NH3 emissions remained stable during
2010–2017, representing the absence of effective mitigation measures for
NMVOCs and NH3 in current policies. The relative contributions of
different sectors to emissions have significantly changed after several
years' implementation of clean air policies, indicating that it is paramount
to introduce new policies to enable further emission reductions in the
future.