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Emissions of air pollutants and greenhouses by world country on 0.1 x 0.1 degree grid

The EDGAR team:

John van Aardenne, Ulrike Doering, Greet Maenhout, Suvi Monni, Jos Olivier (PBL), Lorenzo Orlandini, Valerio Pagliari,

Jeroen Peters (PBL), Fulgencio SanMartin

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1. About the EDGAR project

2. Methodology

3. Example of one sector: road transportation

4. Global grid map of greenhouse gas emissions (Tg CO2 equivalents)

5. Data availability

Overview

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The Emissions Database for Global Atmospheric Research (EDGAR) provides global pastand present day anthropogenic emissions of greenhouse gases and air pollutants by country and on spatial grid.

Applications:

Inventories for policy purposes: - monitoring the progress/compliance in meeting specific emission targets- scenario studies in emissions reduction options (2000-2100 period)Inventories for scientific purposes:- understanding processes that lead to anthropogenic and natural emissions- understanding change in atmospheric composition due to emissions trends

EDGARv4 data is used in FP6 and FP7 research projects and in emission datasets prepared for forthcoming IPCC AR5 report.

EDGARv4.0 is a project by the European Commissions DG Joint Research Centre with contributions from the Netherlands Environmental Assessment Agency (PBL)

1. About the EDGAR project

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Geographical coverage: Emissions by sector, year for all world countries, international shipping and aviation

Compounds included:Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous

Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 52a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2)

Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4)

Acidifying gases: Ammonia (NH3), Nitrogen oxides (NOx) and Sulfur Dioxide (SO2)

Primary particulates: Fine Particulate Matter (PM10, PM2.5) and Primary Aerosols: Black Carbon (BC) and Organic Carbon (OC).

2. Methodology

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Methodology

Time series: 1970-2005 (annual), for selected projects (monthly emissions) for commission policy studies 2005-2050

Source categories (main groups):- Energy: Fuel Combustion (IPCC 1A) and Fugitive emissions

from fuel (IPCC 1B)- Industrial Processes (non-combustion, IPCC 2)- Product Use (IPCC 3)- Agriculture (including Savanna burning), (IPCC 4)- Land Use Change and Forestry (IPCC 5)- Waste (IPCC 6)- Other anthropogenic sources (fossil fuel fires) (IPCC 7)

Spatial allocation: base grid 0.1x0.1 degree grid (also available on 0.5 and 1 degree grid)

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Calculation of emissions by country and sector:

Technology based emission factor approach (see section 3 for example for road transport)

x: compound, c: country, s: sector, yr: year, AD: activity data, TECH: technology , EOP: % of technologies that are controlled by end-of-pipe abatement measures, EF: uncontrolled emission factor by sector & technology, RED: reduction % on the uncontrolled EF by the installed abatement measure.

2. Methodology

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Spatial allocation

(xi, yi) = representing the lower left corner of each 0.1 grid cell, AD: activity data (e.g. natural gas in power plant sector), for some maps technology data is gridded (e.g. underground hard coal mines), C: country, yr: year, Indicator (spatial grid, e.g. road density map)

line sources

point sources

area sources

-Ship tracking data- Road network density

- Power plant location- Production facilities.......

- Agricultural fields- Population/ Animal density

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Formula: EMISSIONTECH = AD x TECH x EFTECH (1-EOP*Eff) (country,year)

AD: activity data, consumption of fuels for combustion (TJ diesel in road transport, with data from International Energy Statistics (IEA, DOE, UN)

TECH :technology information: share of activity by technology (% of diesel used by passenger cars, trucks, from literature analysis, own studies)

EF: uncontrolled emission factor (kg NO2 / TJ diesel, with datafrom IPCC and EEA/EMEP Emission Inventory Guidelines and literature analysis)

EOP: share of the specific emission abatement measures (% of diesel passengers equipped with emission regulations (e.g. EURO II, from scientific literature, country reports and own studies)

Eff: removal efficiency of abatement measure (% of uncontrolled EF removed, with datafrom IPCC and EEA/EMEP Emission Inventory Guidelines and scientific literature)

3. Example: road transportation

Technology (passenger car) and EOP information (e.g. EURO 1 vehicles)Basic activity data from energy statistics

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Result: NOx emissions from diesel combustion in road transport in

various world regions (unit Tg NO2)

3. Example: road transportation

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4. greenhouse gas emissions (Tg CO2 eq.)

Source: EC-JRC/PBL. EDGAR version 4.0. http://edgar.jrc.ec.europe.eu/,2009

Gg CO2-eq. per grid cell

0 0.010.01 0.1

0.1 11 10

10 2525 5050 100

100 200200

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5. Data availability

1. Data available for greenhouse gases

a. files with emissions by countryb. grid files with emissions on grid (netcdf, asci)

2. Not all detail is downloadable due to copyright

3. Users can apply data for studies and in publications under signing a disclaimer/copyright statement at registration on the edgar webpage.

More information on EDGAR website:

http://edgar.jrc.ec.europa.eu

or e-mail EDGAR project leader

john.van-aardenne@jrc.ec.europa.eu