A NEW EMISSION INVENTORY FOR CHINA BASED ON THE …...CONCLUSIONS RATIONAL METHODS EMISSIONS...
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A NEW EMISSION INVENTORY FOR CHINA BASED ON THE MARCOPOLO PROJECT M. Koukouli 1 , D. Balis 1 , R. van der A 2, 3 , J. Ding 2 , F. Liu 2 , T. Stavrakou 4 , M. Bauwens 4 , J.-F. Müller 4 , G. de Leeuw 5 , V. Amiridis 6 , M. Proestakis 6 , K. Kourtidis 7 , A. Georgoulias 7 , H. Hooyberghs 8 , N. Veldeman 8 R. Timmermans 9 & Q. Zhang 10 www.marcopolo-panda.eu 1 LAP/Auth, Greece 2 KNMI, The Netherlands 3 NUIST, China 4 BIRA-IASB, Belgium 5 FMI, Finland 6 IAASARS, NOA, Greece 7 DEE/DUTH, Greece 8 VITO, Belgium 9 TNO, Netherlands 10 Tsinghua University, China
Transcript of A NEW EMISSION INVENTORY FOR CHINA BASED ON THE …...CONCLUSIONS RATIONAL METHODS EMISSIONS...
A NEW EMISSION INVENTORY
FOR CHINA BASED ON THE
MARCOPOLO PROJECT
M. Koukouli1, D. Balis1, R. van der A2, 3, J. Ding2, F. Liu2,T. Stavrakou4, M. Bauwens4, J.-F. Müller4, G. de Leeuw5,V. Amiridis6, M. Proestakis6, K. Kourtidis7, A. Georgoulias7,H. Hooyberghs8, N. Veldeman8 R. Timmermans9 &Q. Zhang10
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1LAP/Auth, Greece2KNMI, The Netherlands3NUIST, China 4BIRA-IASB, Belgium5FMI, Finland 6IAASARS, NOA, Greece 7DEE/DUTH, Greece8VITO, Belgium9TNO, Netherlands10Tsinghua University, China
1LAP/Auth, Greece2KNMI, The Netherlands3NUIST, China 4BIRA-IASB, Belgium5FMI, Finland 6IAASARS, NOA, Greece 7DEE/DUTH, Greece8VITO, Belgium9TNO, Netherlands10Tsinghua University, China
CONCLUSIONS RATIONAL METHODS EMISSIONS EMISSIONS
A NEW EMISSION INVENTORY FOR CHINA BASED ON THE MARCOPOLO PROJECT
A new 0.25°x0.25° resolution emission inventory for EastChina and year 2014 has been composed, containing mostlyanthropogenic and biogenic emissions for most majorChinese cities, the Korean peninsula and parts of Mongolia.
• A higher resolution anthropogenic emission inventory, at0.01°x0.01°, for three zoom-in regions was also composedfor 2000-2010: Beijing-Tianjin | Yangtze Delta | Pearl Delta.
• The inventory contains emission estimates for nitrogenoxides (NOx), sulphur dioxide (SO2), particulate matter (bothPM2.5 and PM10), ammonia (NH3), carbon monoxide (CO),non-methane volatile organic compounds (VOC) and blackcarbon (BC).
• The anthropogenic fraction provides emissions for sixsectors: industry, power, residential, transportation, shippingand agriculture. The biogenic emissions focus on isoprene.
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CONCLUSIONS RATIONAL METHODS EMISSIONS EMISSIONS
A NEW EMISSION INVENTORY FOR CHINA BASED ON THE MARCOPOLO PROJECT
China’s population has grown by 40% since the 80s, toreach 1.40 bn people as of March 2017.
Tremendous GDP increase, today’s GDP is 57 times higherthan in 1980, and 9 times higher than in 2000.
By 2030 the China’s urban population will rise to > 1 bnand the number of Chinese megacities is constantlyincreasing hence air pollution issues are in the forefront ofpublic awareness.
As a result, the emissions of air pollutants estimated usingthe traditional statistical methods become quicklyoutdated and do not reflect the real air pollution status.
Combine satellite observations with state-of-art
inversion techniques to infer emissions of air
pollutants.
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CONCLUSIONS RATIONAL METHODS EMISSIONS EMISSIONS
• Top-down PM, NOx, VOC, SO2, CO emissions:
Estimates using satellite data
Bottom-up emissions :
MEIC 2010 inventory
MarcoPolo emission inventory
EmissionsSatellite observations
Chemistry Transport Model
Inversion algorithm www.marcopolo-panda.eu
MarcoPolo emission inventory:
Combining top-down estimates with source sector information of MEIC to 0.25°x0.25°.
Downscaling to high resolution • Traffic emissions to road segments.
• Industrial and residential emissions to 0.01°x0.01°.
• Power emissions to power plants.
CONCLUSIONS RATIONAL METHODS EMISSIONS EMISSIONS
SPACE-BASED EMISSION ESTIMATES WITHIN MARCOPOLO
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Agricultural CO emissions [OMI/Aura]
Isoprene emissions [OMI/Aura]
PM emissions [MODIS/Aqua]
NOX emissions [OMI/Aura]
SO2 emissions [OMI/Aura]
CONCLUSIONS RATIONAL METHODS EMISSIONS EMISSIONS
APPLICATIONS OF THE MARCOPOLO EMISSION INVENTORY
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Total NOx emission estimates for the top 10 highest NOx-emitting provinces
Comparison of top-down and bottom-upSO2 inventories for East China
CONCLUSIONS RATIONAL METHODS EMISSIONS EMISSIONS
A NEW EMISSION INVENTORY FOR CHINA BASED ON THE MARCOPOLO PROJECT
• Bauwens, M. et al.: Nine years of global hydrocarbon emissions based on sourceinversion of OMI formaldehyde observations, ACP, 2016.
• Ding, J., et al., Intercomparison of NOx emission inventories over East Asia, ACP, 2017.• Koukouli, M. E., et al.: Anthropogenic sulphur dioxide load over China as observed from
different satellite sensors, Atm. Env. , 2016.• Kourtidis, K., et al., A new method for deriving trace gas emission inventories from
satellite observations: the case of SO2 over China, StoTen, 2017.• Stavrakou, T. et al., Substantial Underestimation of Post-Harvest Burning Emissions in
the North China Plain Revealed by Multi-Species Space Observations, Sci. Rep., 2016.• Stavrakou, T., et al., Sources and long-term trends of ozone precursors to Asian
Pollution, Air Pollution in Eastern Asia : an integrated perspective, 2017• Timmermans, R. et al., Source apportionment of PM2.5 across China using LOTOS-
EUROS, Atm. Env., 2017.• van der A, R. J., et al., Cleaning up the air: Effectiveness of air quality policy for SO2 and
NOx emissions in China, ACP, 2017.• …. and in http://www.marcopolo-panda.eu/publications/
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