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Indicator Assessment

Emissions of primary particles and secondary particulate matter precursors

Indicator Assessment
Prod-ID: IND-29-en
  Also known as: CSI 003
Published 21 Oct 2005 Last modified 11 May 2021
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Total EU-15 emissions of fine particles were reduced by 39% between 1990 and 2002. This was due mainly to reduction in emissions of the secondary particulate precursors, but also to reductions in primary PM10 emissions from energy industries.

Emissions of primary and secondary fine particles (EU-15), 1990-2002

Note: N/A

Data source:

Changes in emissions of primary and secondary fine particles (EFTA-3 and EU-15), 1990-2002

Note: N/A

Data source:

EU emissions of fine particles were reduced by 39% between 1990 and 2002. Emissions of NOx (55%) and SO2 (20%) were the most important contributing pollutants to particulate formation in the EU-15 in 2002. The reductions in total emissions between 1990 to 2002 were due mainly to the introduction or improvement of abatement measures in the energy, road transport, and industry sectors. These three sectors contributed 46%, 22% and 16% respectively to the total reduction.

Sector split for primary and secondary fine particulate emissions (EU-15), 2002

Note: N/A

Data source:

Contributions to the changes in emission of primary and secondary fine particles (PM10), per sector and per pollutant (EU-15), 2002

Note: 'Contribution to change' plots show the contribution to the total emission change between 1990-2002 made by a specified sector/ pollutant.

Data source:

The most important sources of PM10 emissions in 2002 were road transport (28% of total emissions) followed by the energy industry (24%) sectors.

As described in the main assessment, emission reductions between 1990 to 2002 were mainly due to abatement measures in energy industries, road transport, and energy use by industry. Overall, the reduction in emissions of energy-related particulate pollutants was mainly achieved through a combination of the use of fuels with lower sulphur content, fuel switching from coal and oil to natural gas, the deployment of emission abatement technologies in the energy supply and industry sectors, and an increased market penetration of road vehicles with catalytic converters.

Emissions of primary PM10, and secondary PM10 precursors are expected to decrease in the future as vehicle technologies are further improved and stationary fuel combustion emissions are controlled through abatement or use of low sulphur fuels such as natural gas. Despite this it is expected that in the near future in the majority of the urban areas over the EU-15 territory PM10 concentrations will still be well above the limit values for PM10, mainly as a result of the continued growth of road transport. Substantial further reductions in emissions will therefore be needed to reach the air quality limit values set in the EU First Daughter Directive to the Framework Directive on Ambient Air Quality.

Supporting information

Indicator definition

This indicator tracks trends in emissions of primary particulate matter less than 10 mm (PM10) and secondary precursors, aggregated according to the particulate formation potential of each precursor considered [1].

The indicator also provides information on changes in emissions from the main source sectors.

 

[1] de Leeuw, (2002), A set of emission indicators for long-range transboundary air pollution, Environmental Science & Policy, Volume 5, Issue 2, April 2002, Pages 135-145. (http://www.sciencedirect.com/science/article/B6VP6-44HYMJ7-1/1/d6e469ff7969874250c6d0f656a8c76b) (supported by the European Topic Centre on Air and Climate Change, under contract to the European Environment Agency)

Units

ktonnes (particulate formation potential)


 

Policy context and targets

Context description

There are no specific EU emission targets set for primary PM10, as with respect to particulate emissions, measures are currently focused on controlling emissions of the secondary PM10 precursors. However, there are several Directives and Protocols that affect the emissions of primary PM10, including air quality standards for PM10 in the First Daughter Directive to the Framework Directive on Ambient Air Quality and emission standards for specific mobile and stationary sources for primary PM10 and secondary PM10 precursor emissions.

 

For the particulate precursor species, emission ceiling targets for NOx, SO2 and NH3 are specified in both the EU National Emission Ceilings Directive (NECD) and the Gothenburg protocol under the United Nations Convention on Long-Range Transboundary Air Pollution (LRTAP Convention) (UNECE 1999). Emission reduction targets for the new EU-12 Member States have been specified in a consolidated version of the NECD for the EU-25 [1] which was adopted by the European Community after the accession of the EU-10 Member States. In addition, the consolidated NECD also includes emission ceilings for Bulgaria and Romania whose targets have been defined in their respective Accession treaties [2].

 

1. http://ec.europa.eu/environment/air/pdf/necd_consolidated.pdf

2. http://ec.europa.eu/environment/air/pdf/eu27_nat_emission_ceilings_2010.pdf

 

NECD. Directive 2001/81/EC, on National Emission Ceilings (NECD) for certain atmospheric pollutants.

UNECE (1999). Protocol to the 1979 Convention on Long-Range Transboundary air pollution (LRTAP Convention) to abate acidification, eutrophication and ground-level ozone, Gothenburg, Sweden, 1 December 1999.

Targets

There are no specific EU emission targets for primary PM10. However, emissions of the precursors NOx, SOx and NH3 are covered by the EU National Emission Ceilings Directive (NECD) (2001/81/EC) and the Gothenburg Protocol under the United Nations Convention on Long-Range Transboundary Air Pollution (LRTAP Convention) (UNECE 1999). The NECD generally involves slightly stricter emission reduction targets than the Gothenburg Protocol for EU-15 countries for the period 1990-2010.

Table: Percentage reduction required by 2010 from 1990 levels by country, for emissions of the secondary particulate precursors NOx, SOx and NH3 (emission targets weighted by particulate formation potential).

Country group

Country

1990 -2010

NECD  Targets 1990 -2010

EU-15

Austria

-6%

-43%

EU-15

Belgium

-36%

-58%

EU-15

Denmark

-40%

-56%

EU-15

Finland

-42%

-47%

EU-15

France

-35%

-50%

EU-15

Germany

-71%

-74%

EU-15

Greece

0%

10%

EU-15

Ireland

-22%

-45%

EU-15

Italy

-46%

-53%

EU-15

Luxembourg

-46%

-50%

EU-15

Netherlands

-44%

-55%

EU-15

Portugal

3%

-15%

EU-15

Spain

-4%

-44%

EU-15

Sweden

-33%

-45%

EU-15

United Kingdom

-58%

-68%

 

EU15

-46%

 

EFTA-4

Iceland

0%

 

EFTA-4

Liechtenstein

-38%

 

EFTA-4

Norway

-14%

 

EFTA-4

Bulgaria

-53%

-51%

NewEU-12

Cyprus

18%

33%

NewEU-12

Czech Republic

-73%

-72%

NewEU-12

Estonia

-61%

-45%

NewEU-12

Hungary

-58%

-40%

NewEU-12

Latvia

-60%

-4%

NewEU-12

Lithuania

-65%

-27%

NewEU-12

Malta

-27%

-52%

NewEU-12

Poland

-46%

-43%

NewEU-12

Romania

-44%

-26%

NewEU-12

Slovakia

-65%

-62%

NewEU-12

Slovenia

-49%

-62%

NewEU-12

NewEU12

-54%

 

 

Croatia

-40%

 

CC3

FYR of Macedonia

365%

 

CC3

Turkey

15%

 

CC3

Austria

-6%

-43%

* Aggregated target for those New EU-12 Member States that have specified targets

Related policy documents

  • 1999 Protocol to Abate Acidification, Eutrophication and Ground-level Ozone
    Convention on Long-range Transboundary Air Pollution 1999 Protocol to Abate Acidification, Eutrophication and Ground-level Ozone, amended on 4 May 2012.
  • Directive 2001/81/EC, national emission ceilings
    Directive 2001/81/EC, on nation al emissions ceilings (NECD) for certain atmospheric pollutants. Emission reduction targets for the new EU10 Member States have been specified in the Treaty of Accession to the European Union 2003  [The Treaty of Accession 2003 of the Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovenia and Slovakia. AA2003/ACT/Annex II/en 2072] in order that they can comply with the NECD.
 

Methodology

Methodology for indicator calculation

The dataset compiled by EEA/ETC-ACC for this indicator is from national total and sectoral emissions of PM10, NOx, SO2 and NH3 officially reported to UNECE/EMEP Convention on Long-Range Transboundary Atmospheric Pollution (LRTAP Convention).

 

Emissions data reported to the LRTAP Convention can be submitted in 3 different emission categories, SNAP, draft NFR or NFR. A detailed discription of the difference reporting formats can be found in the EMEP/CORINAIR Emission Inventory Guidebook - 2006 [1].

 

Base data is available from http://webdab.emep.int/. Base data, reported in NFR are converted into EEA sector codes to obtain a common reporting format across all countries and pollutants:

-          Energy industry: Emissions from public heat and electricity generation

-          Fugitive emissions: Emissions from extraction and distribution of solid fossil fuels and geothermal energy

-          Industry (Energy): relates to emissions from combustion processes used in the manufacturing industry including boilers, gas turbines and stationary engines

-          Industry (Processes): Emissions from production processes

-          Road transport: light and heavy duty vehicles, passenger cars and motorcycles;

-          Off-road transport: railways, domestic shipping, certain aircraft movements, and non-road mobile machinery used in agriculture, forestry;

-          Agriculture: manure management, fertiliser application, field-burning of agricultural wastes

-          Waste: incineration, waste-water management.

-          Other (energy-related) covers energy use principally in the services and household sectors

-          Other (Non Energy): Emissions from solvent and other product use.

 

The current LRTAP template Version 2004-1 includes 103 categories.

The following table shows the conversion of NFR sector codes into EEA sector codes:

 EEA Code

EEA classification

Non-GHGs (NFR)

0

National totals

National Total

1

Energy industries

1A1

3

Industry (Energy)

1A2

2

Fugitive emissions

1B

7

Road transport

1A3b

8

Other transport (non-road mobile machinery)

1A3 (excl 1A3b) + sectors mapped to 8 in table below

9

Industry (Processes)

2

4

Agriculture

4 + 5B

5

Waste

6

6

Other (Energy)

1A4a, 1A4b, 1A4b(i), 1A4c(i), 1A5a

10

Other (non-energy)

3 + 7

14

Unallocated

Difference between NT and sum of sectors (1-12)

12

Energy Industries (Power Production 1A1a)

1A1a

Where reported data from countries is incomplete, simple gap-filling techniques are used in order to obtain a consistent time-series (see following section). To obtain emission values for the particulate precursors, the gap-filled emission values are multiplied by particulate formation potentials factors, de Leeuw (2002). The factors are NOx: 0.88, SO2: 0.54 and NH3: 0.64. Results are expressed in PM10 equivalents (ktonnes). For the main indicator trend graph, emissions are shown indexed to 1990 values (1990 emission =100). The sectoral shares are the share of the specific sector relative to the sum of all sectors for a given year. The 'unallocated' sector corresponds to the difference between the reported national total and the sum of the reported sectors for a given pollutant/country/year combination. It can be either negative or positive. Inclusion of this additional sector means that the officially-reported national totals do not require adjustment to ensure they are consistent with the sum of the individual sectors reported by countries.

 

[1] http://reports.eea.europa.eu/EMEPCORINAIR4/en/BNPA_v3.1.pdf

Methodology for gap filling

Where PM10 data was not reported by countries to UNECE/EMEP, emission estimates for 1990, 1995, 2000 and 2005 were obtained from the RAINS PM10 module, using the NEC_NAT_CLEV4 (NEC04) baseline scenario [1].

Where countries have not reported data for years apart from 1990, 1995, 2000 or 2005 data has been interpolated to derive annual emissions for the missing year or years. If the reported data is missing either at the beginning or at the end of the period, the emission value is assumed to equal the first (or last) reported value. It is recognised that the use of gap-filling may lead to artificial trends, but it is considered unavoidable if a comprehensive and comparable set of emissions data for European countries is required for policy analysis purposes. A list of the gap-filled dataset, plus a spreadsheet containing a record of the gap-filled data will be made available from EEA's dataservice: http://dataservice.eea.europa.eu/dataservice/metadetails.asp?id=818

[1] http://www.iiasa.ac.at/web-apps/apd/gains/EU/index.login

Methodology references

No methodology references available.

 

Uncertainties

Methodology uncertainty

The use of particulate formation factors leads to some uncertainty. The factors are assumed to be representative for Europe as a whole; on the local scale different factors might be estimated. An extensive discussion on the uncertainties in these factors is available in de Leeuw (2002).

Data sets uncertainty

EEA uses data officially submitted by EU Member States and other EEA member countries which follow common guidelines on the calculation and reporting of emissions (EMEP/EEA 2006 [1]) for the pollutants PM10, NOx, NH3 and SO2.

Sulphur dioxide emission estimates in Europe are thought to have an uncertainty of about +/-10% as the sulphur emitted comes from the fuel burnt and therefore can be accurately estimated.  However, because of the need for interpolation to account for missing data the complete dataset used here will have higher uncertainty. EMEP has compared modelled and measured concentrations throughout Europe (EMEP 1998) [2]. From these studies differences in the annual averages have been estimated in the order of +/- 30% consistent with an inventory uncertainty of +/-10% (there are also uncertainties in the measurements and especially the modelling).

NOx emission estimates in Europe are thought to have an uncertainty of about +/-30%, as the NOx emitted comes both from the fuel burnt and the combustion air and so cannot be estimated accurately from fuel nitrogen alone.  EMEP has compared modelled and measured concentrations throughout Europe (EMEP 1998).  From these studies differences for individual monitoring stations of up to a factor of two have been found. This is consistent with an inventory of national annual emissions having an uncertainty of +/-30% (there are also uncertainties in the measurements and especially the modelling).

The primary PM10 data is likely to be very uncertain.

Incomplete reporting and resulting intra- and extrapolation may obscure some trends.



[1] EMEP/EEA (2006). Joint EMEP/CORINAIR Atmospheric Emission Inventory Guidebook (2006), 3rd ed, EEA, Copenhagen.

[2] EMEP (1998). Transboundary Acidifying Air Pollution in Europe, Part 1: Estimated dispersion of acidifying and eutrophying compounds and comparison with observations. EMEP/MSC-W Report 1/98, July 1998.

Rationale uncertainty

This indicator on emissions of particles is produced annually by EEA and is used regularly in its State of the Environment reporting. The uncertainties related to methodology and data sets are therefore of importance. Any uncertainties involved in the calculation and in the data sets need to be accurately communicated in the assessment, to prevent erroneous messages influencing policy actions or processes.

Data sources

Other info

DPSIR: Pressure
Typology: Performance indicator (Type B - Does it matter?)
Indicator codes
  • CSI 003
EEA Contact Info

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Geographic coverage

Dates

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Filed under:
Filed under: ozone, csi, air
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