Transcript Slide 1

On the Gridding Emissions Globally
Muntean M., Pagliari V., Janssens-Maenhout G., Guizzardi D., Petrescu R.,
Olivier J., Thiruchittampalam B., Uzbasich M., J. Theloke, J. van Aardenne
Joint Research Centre (JRC)
http://edgar.jrc.ec.europa.eu
IES - Institute for Environment and Sustainability
Ispra - Italy
http://ies.jrc.ec.europa.eu/
http://www.jrc.ec.europa.eu/
TFEIP meeting, Stockholm, May 2011
On the Gridding Emissions Globally
I. EDGAR
Methodology and proxy data
II. EUROPA case study
Emissions distribution using different proxy data
III. CHINA case study
Emissions distribution:
- National total versus province totals
- Aggregated versus disaggregated by fuel type
TFEIP meeting, Stockholm, May 2011
I. EDGAR - Methodology
AD data
EoP EF
The EOLO Framework
EMISSIONS
kton/yr
Grid maps
0.1°x0.1°
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Scale EMISSIONS on grids
Emissions
GRIDs
0.1°x0.1°
I. EDGAR - Methodology
Grouping by proxy grids
750.000
activity (sector)-specific
emission country totals
Total by
country &
proxy
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I. EDGAR Proxy data
Proxy Maps (e.g.)
74 different proxy datasets http://edgar.jrc.it/eolo/php/grd_list.php
Energy point sources
Power plants CARMA
2000, 2007
Chemical industry
Agriculture
Ammonia
Buffalo; Cattle; Goats
In-house derived maps
Rural population
Urban population
Coal mining
Adipic acid
Poultry; Sheep; Pigs
Oil refineries
Nitric acid
Crop; Grass
Metal industry
Mineral industry
Trees
Iron &steel maps
Cement
Soil distribution
Roads multiplied by
population
Inland waterways (rivers
and lakes)
Population (1990, 1995,
2000, 2005, 2010)
Magnesium
Lime
Other
Histosol maps
Copper
Road transport
Shipping trajectories
Ammonia deposition map
Zinc; Lead
Road - 2008
Aviation trajectories
Aluminium maps
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Gas production
I. EDGAR Proxy data
240 country emissions
1.500.000 grid cell proxy
3.700.000 grid cell emissions
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I. EDGAR Proxy data
Creation of New proxy Grids
Roads
Roads times inhabitants
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II. EUROPA case study
Emissions distribution using different proxy data
Sources considered:
- Heavy duty vehicles
Road transport : - Passenger cars
- Light duty vehicles
- Mopeds & motorcycles
Year:
- 2008
Pollutant:
- NOx, CLRTAP emissions
Proxy E-PRTR:
- traffic volume (Trans-Tools)
Proxy EDGAR: - 1. population (HD) and
- 2. population x roads
(PC, LD, MP&MC)
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II. EUROPA
Emissions distribution using different proxy data
Proxy - population x roads
increases the gradient between
city and intercity transport
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II. EUROPA
Emissions distribution using different proxy data
EDGAR proxy - population x roads
This proxy represents well traffic volume
TFEIP meeting, Stockholm, May 2011
E-PRTR proxy - traffic volume
(Trans-Tools)
III. CHINA case study
Emissions distribution: National total,
Province total and Fuel type
EDGAR – improving emissions distribution for large countries
Move from national totals to province/state totals
In this case study we used the GAINS fractions to allocate the
national EDGAR CO2 emissions to the Provinces
Proxy used to distribute the CO2 emissions: 1) by country and 2) by province
Road transport : population x roads (PC, LD, MC, BS) and roads (HD)
Energy: power plants
Industry : urban population 2005
Residential : population 2005
Cement production: cement
Lime production: lime
Waste incineration: urban population 2005
Domestic aviation: domestic aviation, take off and landing
Inland water: inland water
Petroleum refining: oil refineries
Manufacture of solid fuel - coke
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CHINA by country vs. CHINA by province
On aggregated level the split at province level has minor effect
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COAL
CHINA by country vs. CHINA by province
Chongqing
31070000
inhabitants
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GAS
CHINA by country vs. CHINA by province
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GAS and COAL
CHINA by country vs. CHINA by province
Looking at disaggregated level, by fuel type, subdivision of
country totals to province totals becomes very significant.
Use of gas or coal in the energy, industry and residential
sectors needs to be allocated to the correct province.
Proxy used for GAS / COAL emissions distribution
Energy:
power plants PP_CARMA_2007
Industry: urban population 2005
Residential: population 2005
TFEIP meeting, Stockholm, May 2011
Conclusions
EDGAR grids emission country totals at global scale and is
building up its pool of global proxy data with consistent global
statistics.
EDGAR is steadily improving its gridding tools:
1. For regions covered with detailed proxy gridmaps.
We check the quality and appropriateness of our proxy data
by comparing with advanced proxies: for road transport the
“population x roads” proxy seems to be appropriate
(compared to “traffic volume” proxy).
2. For large regions (e.g. China, the USA, India). We first split
the country emission totals to province emission totals by
subdividing the sector-specific country totals to the
provinces/ states with appropriate shares (e.g. from GAINS).
TFEIP meeting, Stockholm, May 2011
Thanks for your
attention!
http://edgar.jrc.ec.europa.eu
TFEIP meeting, Stockholm, May 2011