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You are here: Home / Data and maps / Indicators / Emissions of primary particles and secondary particulate matter precursors

Emissions of primary particles and secondary particulate matter precursors

Contents
 

Justification for indicator selection

In recent years scientific evidence has been strengthened by many epidemiological studies that indicate there is an association between long and short-term exposure to fine particulate matter and various serious health impacts. Fine particles have adverse effects on human health and can be responsible for and/or contribute to a number of respiratory problems. Fine particles in this context refer to the sum of primary PM10 and the weighted emissions of secondary PM10 precursors. Primary PM10 refers to fine particles (defined as having diameter of 10 mm or less) emitted directly to the atmosphere. Secondary PM10 precursors are pollutants that are partly transformed into particles by photo-chemical reactions in the atmosphere. A large fraction of the urban population is exposed to levels of fine particulate matter in excess of limit values set for the protection of human health. There have been a number of recent policy initiatives that aim to control particulate concentrations and thus protect human health.

Scientific references:

Indicator definition

This indicator tracks trends in emissions of primary particulate matter less than 10 mm (PM10) and secondary particulate matter precursors (nitrogen oxides (NOx) , ammonia (NH3), and sulphur dioxide (SO2)), each weighted by their respective particulate matter formation potential factor.

The indicator also provides information on the sources of emissions from a number of sectors: energy industries; road and other transport; industry (processes and energy); other (energy); fugitive emissions; waste; agriculture and other (non energy).

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 that affect the emissions of primary PM, including the 2008 Air Quality Directive and emission standards for specific mobile and stationary sources for primary PM10 and secondary PM10 precursor emissions.

 

For the particulate precursor species, within the European Union the National Emission Ceilings Directive (NEC Directive) imposes emission ceilings (or limits) for emissions of the particulate precursor pollutants nitrogen oxides, sulphur dioxide and ammonia that harm human health and the environment (the NEC Directive also sets emissions ceilings for a fourth pollutant - non-methane volatile organic compounds). The European Commission is expected to propose a revised NEC Directive in 2009.

 

Other key EU legislation is targeted at reducing emissions of the particulate precursor pollutants from specific sources, for example:

  • transport;
  • industrial facilities and other stationary sources.

 

Internationally, the issue of air pollution emissions is also being addressed by the UNECE Convention on Long-range Transboundary Air Pollution (the LRTAP Convention) and its protocols. The Gothenburg 'multi-pollutant' protocol under the LRTAP Convention also contains national emission ceilings for the three secondary particulate precursor pollutants that are either equal to or slightly less ambitious than those in the EU NEC Directive. 

 

References

Directive 2001/81/EC, on national emissions ceilings (NECD) for certain atmospheric pollutants. http://ec.europa.eu/environment/air/pdf/necd_consolidated.pdf

UNECE (1999). Protocol to the 1979 Convention on Long-Range Transboundary air pollution (LRTAP Convention) to abate acidification, eutrophication and ground-level ozone. http://www.unece.org/env/lrtap/multi_h1.htm

Targets

There are no specific EU emission targets for primary PM10. However, emissions of the precursors NOx, SOx and NH3 are covered by the NECD and the Gothenburg Protocol to the UNECE LRTAP Convention. Both instruments contain emission ceilings (limits) that countries must meet by 2010.

Table 1. Percentage reduction required by 2010 compared to 1990 levels by country, for aggregated emissions of the secondary particulate precursors NOx, SOx and NH3 (individual pollutant emission ceilings weighted by particulate formation potential factors prior to aggregation).

Country

NECD Targets 1990 -2010 (particulate precursors)

Gothenburg Target  1990 -2010 (particulate precursors)

Austria

-40%

-38%

 

Belgium

-58%

-57%

 

Denmark

-55%

-55%

 

Finland

-47%

-46%

 

France

-52%

-50%

 

Germany

-73%

-73%

 

Greece

9%

12%

 

Ireland

-45%

-45%

 

Italy

-54%

-53%

 

Luxembourg

-52%

-52%

 

Netherlands

-54%

-53%

 

Portugal

-9%

-2%

 

Spain

-44%

-44%

 

Sweden

-43%

-43%

 

United Kingdom

-67%

-66%

 

Bulgaria

-34%

-32%

 

Cyprus

29%

 

 

Czech Republic

-75%

-73%

 

Estonia

-45%

 

 

Hungary

-40%

-37%

 

Latvia

-5%

11%

 

Lithuania

-21%

-21%

 

Malta

-24%

 

 

Poland

-43%

-43%

 

Romania

1%

1%

 

Slovakia

-62%

-62%

 

Slovenia

-63%

-63%

 

EU27

-53%

-52%

 

Turkey

-

-

 

Iceland

-

-

 

Liechtenstein

-

-

 

Norway

-

-27%

 

Switzerland

-

-39%

 

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.
  • 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.

Key policy question

What progress is being made in reducing emissions of primary particulate matter (PM10) and secondary particulate matter precursors?

Specific policy question

How do different sectors and processes contribute to emissions of PM10 and their precursors?

Methodology

Methodology for indicator calculation

 This indicator factsheet uses emissions data from the EEA dataservice dataset 'EEA aggregated and gap-filled air emission data'. The 2010 projection estimates reported by the EU-27 Member States under the requirements of the NEC Directive are also included in the analysis http://www.eea.europa.eu/themes/air/datasets).

 

The dataset 'EEA aggregated and gap-filled air emission data' is consistent with the annual 'European Community LRTAP Convention emission inventory' compiled by EEA. This inventory is based on the officially reported emissions data from countries submitted to the UNECE LRTAP Convention and supplemented with additional data reported under the NEC Directive and the EU GHG Monitoring Mechanism/UNFCCC.   

 

Air pollutant emissions data are reported by countries using the Nomenclature For Reporting (NFR) sectroal classification system developed by UNECE/EMEP.  For the purposes of the 'EEA aggregated and gap-filled air emission dataset', the numerous NFR sectors reported by countries are combined into the following EEA aggregated sectors to allow a simpler analysis: 

  • 'Energy industries': emissions from public heat and electricity generation
  • 'Fugitive emissions': emissions from extraction and distribution of solid fossil fuels and geothermal energy
  • 'Industry (Energy)': emissions from combustion processes used in the manufacturing industry including boilers, gas turbines and stationary engines
  • 'Industry (Processes)': emissions from production processes
  • 'Road transport': emissions from light and heavy duty vehicles, passenger cars and motorcycles;
  • 'Off-road transport': emissions from railways, domestic shipping, certain aircraft movements, and non-road mobile machinery used in agriculture, forestry;
  • 'Agriculture': emissions from manure management, fertiliser application, field-burning of agricultural wastes
  • 'Waste': emissions from incineration of waste, waste-water management.
  • 'Other (energy-related)': emissions from energy use principally in the services and household sectors
  • 'Other (Non Energy)': emissions from solvent and other product use.

 

The following table shows how the NFR categories used by countries to report their emissions are aggregated into the EEA aggregated sectors listed above:  

 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

 

The 'unallocated' sector (14) 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.

 

Where reported data from countries is incomplete, simple gap-filling techniques are used in the 'EEA aggregated and gap-filled air emission dataset' in order to obtain a consistent time-series (see following section).

 

To obtain an aggregated estimate of the total particulate matter emissions, the emission values of the individual pollutants are multiplied by a particulate formation potentials factor (de Leeuw, 2002) prior to aggregation.  The factors are primary PM10: 1.0; NOx: 0.88; SO2: 0.54 and NH3: 0.64. Results are expressed in terms of 'PM10 equivalents' (ktonnes). 

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 IIASA GAINS model PM10 module [1].

To allow trend analysis, where countries have not reported data for one or more years, data in the 'EEA aggregated and gap-filled air emission dataset' has been interpolated to derive the 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. The use of gap-filling may lead to artificial trends, but it is considered necessary if a comprehensive and comparable set of emissions data for European countries is to be obtained. A spreadsheet containing a record of the gap-filled data is available from EEA's European Topic Centre on Air and Climate Change (ETC/ACC) (http://air-climate.eionet.europa.eu/)

[1] http://www.iiasa.ac.at/rains/gains-online.html?sb=9

Methodology references

Data specifications

EEA data references

Data sources in latest figures

Uncertainties

Methodology uncertainty

The use of interpolation/extrapolation procedures to gap-fill the underlying emissions dataset and the application of particulate matter formation factors both lead to uncertainties. With respect to the particulate matter formation factors, these 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

The PM10, NOx, SO2 and NH3 emissions data officially submitted by EU Member States and other EEA member countries follow common calculation (EMEP/EEA 2009) and reporting guidelines (UNECE 2003).

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 more 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 (using emission inventory data) and measured concentrations throughout Europe (EMEP, 1998). 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).

Nitrogen oxide emission estimates in Europe are thought to have an uncertainty of about +/-20% (EMEP, 2009), as the NOx emitted comes both from the fuel burnt and the combustion air and so cannot be estimated accurately from fuel nitrogen alone.  However, because of the need for interpolation to account for missing data, the complete dataset used will have higher uncertainty. The trend is likely to be more accurate than the individual absolute annual values - the annual values are not independent of each other.

Ammonia emissions are also relatively uncertain. NH3 emission estimates in Europe are more uncertain than those for NOx or SO2 due largely to the diverse nature of agricultural sources - which account for the vast majority of NH3 emissions. It is estimated that they are around +/-30% (EMEP, 2009). The trend is likely to be more accurate than the individual absolute annual values - the annual values are not independent of each other.

Primary PM10 data is likely to be of high uncertainty.  

References

Rationale uncertainty

This indicator on emissions of particulate matter is updated annually by EEA and is used regularly in our reports on the state of the environment. It is therefore important to note the uncertainties related to methodology and data sets.

Further work

Short term work

Work specified here requires to be completed within 1 year from now.

Work description

Countries should improve the completeness of the time series of their estimates (filling gaps). Further validation and checking is the responsibility of the country and needs especially to lead to improved detailed sectoral time series of emissions. There is also a need for further validation and checking of emission estimates within the framework of LRTAP Convention/EMEP and EEA-ETC/ACC activities.

Resource needs

 

Status

In progress

Deadline

2008/02/15 00:00:00 GMT+1

Work description

Improvment in quality of national data delivered to LRTAP Convention/EMEP.

Resource needs

 

Status

In progress

Deadline

2007/12/31 00:00:00 GMT+1

Work description

Improvement of national data delivered under National Emission Ceilings Directive (NECD).

Resource needs

.

Status

In progress

Deadline

2007/12/31 00:00:00 GMT+1

Long term work

Work specified here will require more than 1 year (from now) to be completed.

General metadata

Responsibility and ownership

EEA Contact Info

Martin Adams

Ownership

European Environment Agency (EEA)

Identification

Indicator code
CSI 003
Specification
Version id: 2
Primary theme: Air pollution Air pollution

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Classification

DPSIR: Pressure
Typology: Performance indicator (Type B - Does it matter?)

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Comments

European Environment Agency (EEA)
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Phone: +45 3336 7100