Policy Studies
Emissions from the Netherlands: “How are we doing?”The Netherlands Informative Inventory Report (IIR) contains information on emission inventories in the Netherlands up to 2008, describing methods, data sources, QA/QC activities carried out and a trend analysis.
Its aim is to provide a better view on applicability (transparency between countries, modeled air quality) and accountability
(transparency, completeness, consistency, strengths and weaknesses in methods, uncertainties) of emission data.
So basically, it’s useful for inventory reviewers, modelers and emission experts in general.
In the 1990–2008 period, emissions of all gases presented in this report showed a downward trend. Major overall drivers for this trend are emission reductions in industry, cleaner fuels and cleaner cars.
Netherlands
Informative
Inventory Report
2010
Netherlands Informative
Inventory Report 2010
B.A. Jimmink, P.W.H.G. Coenen
1, G.P. Geilenkirchen, A.J. Leekstra
C.W.M. van der Maas, C.J. Peek, S.M. van der Sluis, D. Wever
1 Netherlands Organisation for Applied Scientific Research (TNO)In cooperation with:
Netherlands Informative Inventory Report 2010
© Netherlands Environmental Assessment Agency (PBL), March 2010 PBL publication number 500080016
Corresponding Author: B.A. Jimmink; benno.jimmink@pbl.nl
Parts of this publication may be reproduced, providing the source is stated, in the form: Netherlands Environmental Assessment Agency: Title of the report, year of publication. This publication can be downloaded from our website: www.pbl.nl/en. A hard copy may be ordered from: reports@pbl.nl, citing the PBL publication number.
The Netherlands Environmental Assessment Agency (PBL) is the national institute for strategic policy analysis in the field of environment, nature and spatial planning. We contribute to improving the quality of political and administrative decision-making by conducting outlook studies, analyses and evaluations in which an integrated approach is considered paramount. Policy relevance is the prime concern in all our studies. We conduct solicited and unsolicited research that is both independent and always scientifically sound.
Office Bilthoven PO Box 303 3720 AH Bilthoven The Netherlands Telephone: +31 (0) 30 274 274 5 Fax: +31 (0) 30 274 44 79 Office The Hague PO Box 30314 2500 GH The Hague The Netherlands Telephone: +31 (0) 70 328 8700 Fax: +31 (0) 70 328 8799 E-mail: info@pbl.nl Website: www.pbl.nl/en
Emissies van luchtverontreinigende stoffen in Nederland 1990-2008
Dit rapport over de Nederlandse emissie-inventarisatie van grootschalige luchtverontreinigende stoffen licht de emissiecijfers toe die Nederland heeft geleverd aan het UNECE-secretariaat in het kader van de verplichtingen onder de Convention on Long-range Transboundary Air Pollution (CLRTAP), en aan de Europese Commissie in het kader van de verplichtingen onder de NEC1-richtlijn. De door Nederland
gerapporteerde emissiecijfers zijn te vinden op de EMEP2
-website: http://www.emep-emissions.at/ (EMEP data) en www.emissieregistratie.nl.
De IIR 2010 biedt een beter zicht op de toepasbaarheid (vergelijkbaarheid tussen landen, modelberekeningen voor luchtkwaliteit door EMEP) en afrekenbaarheid (transparantie, compleetheid, consistentie tussen jaren, sterkte en zwaktes in methoden, onzekerheden) van emissiecijfers. In de periode 1990–2008 vertonen de emissies van SO2, NOX, NMVOC, CO,
NH3, zware metalen en persistente organische vervuilende
stoffen (POP’s) een neerwaartse trend. De belangrijkste oorzaken van deze trend zijn emissiereductie maatregelen in industriële sectoren, schonere brandstoffen en schonere auto’s.
Het laatste hoofdstuk over projecties geeft methodes, gegevensbronnen en aannames weer, die gebruikt zijn bij het schatten van ramingen per sector.
Rapport in het kort
1 National Emissions Ceilings Directive.
2 Co-operative Programme for Monitoring and Evaluation of the Long-range Transmission of Air Pollutants in Europe (EMEP).
Inhoud
Rapport in het kort 5
Acknowledgement 9 Summary 11 1 Introduction 13
1.1 National inventory background 13
1.2 Institutional arrangements for inventory preparation 13 1.3 The process of inventory preparation 14
1.4 Methods and data sources 15 1.5 Key source analysis 16
1.6 Reporting, QA/QC and archiving 17 1.7 Uncertainties 18
1.8 Explanation on the use of notation keys 19 1.9 Missing sources 20
2 Trends in emissions 21
2.1 Trends in national emissions 21 2.2 Trends in sulphur dioxide (SO2) 22
2.3 Trends in nitrogen oxides (NOx) 23
2.4 Trends in ammonia (NH3) 24
2.5 Trends in non-methane volatile organic compounds (NMVOC) 25 2.6 Trends in PM10 26
2.7 Trends in PM2.5 27
2.8 Trends in PAH 28
3 Energy, stationary fuel combustion (1A) 29
3.1 Energy industries (1A1) 29
3.2 Manufacturing industries and construction (1A2) 30 3.3 Other sectors (1A4) 30
3.4 Other (1A5) 32
3.5 Mobile combustion (1A3) 32
3.6 Evaporation, tyre and brake wear, road abrasion (1A3b) 35 3.7 Energy, fugitive emissions from fuels (1B) 35
4 Industry (2) 37
4.1 Overview of the sector 37 4.2 Mineral production (2A) 37 4.3 Chemical industry (2B) 38 4.4 Metal production (2C) 38 4.5 Pulp and paper (2D1) 39
4.6 Food and drink production (2D2) 39 4.7 Other production (2G) 39
5 Solvents and product use (3) 41
5.1 Overview of the sector 41 5.2 Paint application (3A) 41
5.3 Degreasing and dry cleaning (3B) 41
5.4 Other, including products containing HMs and POPs (3D) 41
6 Agriculture (4) 43
6.1 Dairy cattle (4B1A) 43 6.2 Non-dairy cattle (4B1b) 43 6.3 Swine (4B8) 44
6.4 Poultry (4B9) 44
6.5 Synthetic N-fertilisers (4D1a) 44
6.6 Farm-level agricultural operations including storage, handling and transport of agricultural products (4D2a) 44
7 Waste (6) 45 7.1 Waste incineration (6C) 45 7.2 Other waste (6D) 45 8 Other (7) 47
9 Recalculations and other changes 49
9.1 Recalculations of the 2010 submission 49 9.2 Improvements 49 10 Projections 51 10.1 Energy 51 10.2 Industrial processes 52 10.3 Agriculture 52 References 53 Colophon 55
Acknowledgement
The methods and results presented in this report are the product of close collaboration within the ER-team and invol-ving institutions and individuals throughout the Netherlands. In particular, the ER-team acknowledges: The Directorate for Climate Change and Air Quality of the Dutch Ministry of Housing, Spatial Planning and the Envi-ronment, Mr. J. Wijmenga and Mr. J. Sliggers in particular, for their continued support,
Annemieke Righart, editor at the Netherlands Environmen-tal Assessment Agency, for English-language editing of the chapters,
The RIVM’s graphic department for the design and lay-out of this report, in particular Martin Middelburg.
Emissions of transboundary air pollutants in the Nederlands 1990-2008
This report, constituting the Netherlands Informative Inventory Report (IIR), contains information on emission inventories in the Netherlands, from 1990 up to 2008 (see www.prtr.nl and EMEP1 data on http://www.emep-emissions.
at/). It includes descriptions of methods and data sources, QA/ QC activities carried out and a trend analysis.
This IIR outlines such methods for estimating emissions as the extrapolation of emissions from individual companies to sectors. Estimations are given in more detail for sector and subsector for the key source categories (e.g. emission calculation from road transport in vehicle categories and road types).
In the 1990 – 2008 period emissions of SO2, NOX, NMVOC, CO,
NH3, heavy metals and persistent organic pollutants (POPs)
showed a downward trend. The major overall drivers for this trend are emission reductions in the industrial sectors, cleaner fuels and cleaner cars.
The final chapter on emission projections includes
descriptions of methods, assumptions and data sources, used to estimate projected emissions per sector.
Summary
1 Co-operative Programme for Monitoring and Evaluation of the Long-range Transmission of Air Pollutants in Europe (EMEP).
Reporting emission data to the Executive Body of the Convention on Long-range Transboundary Air Pollution (CLRTAP) is required to fulfil obligations in compliance with the implementation of Protocols under the Convention. Parties are required to submit reports on annual national emissions of SO2, NOX, NMVOC, CO, NH3 and various heavy
metals and POPs using the Guidelines for Estimating and Reporting Emission Data under the CLRTAP (UNECE, 2009). The Netherlands Informative Inventory Report (IIR) 2010 contains information on the Netherlands’ inventories for the years 1990 to 2008, including descriptions of methods, data sources, QA/QC activities carried out and a trend analysis. The inventory covers all anthropogenic emissions to be reported in the Nomenclature for Reporting (NFR), including individual polycyclic aromatic hydrocarbons (PAHs), which are to be reported under persistent organic pollutants (POPs) in Annex IV.
1.1 National inventory background
Emissions in the Netherlands are registered in the
Netherlands Pollutant Release and Transfer Register (PRTR). This PRTR database is the national database for target group monitoring, set up to monitor pollutants within the framework of National Emission Ceilings (EU), the Convention on Long-range Transboundary Air Pollution (CLRTAP), and to monitor the greenhouse gas emissions in conformance with United Nations Framework Convention on Climate Change (UNFCCC) requirements and the Kyoto Protocol (National System). PRTR encompasses the process of data collection, data processing, registration and reporting on emission data for some 350 compounds, and compound groups in air, water and soil. Emission data (for the most important pollutants) and documentation can be found at www.prtr.nl.
Emission estimates are based on official statistics of the Netherlands, e.g. energy and agricultural statistics as well as environmental reports of companies in the industrial sector and emission factors (both nationally developed and internationally recommended factors).
The Netherlands uses the ‘Guidelines for Estimating and Reporting Emission Data’ for reporting to the Economic Commission for Europe (UNECE) Convention on Long-range Transboundary Air Pollution (CLRTAP). However, instead of using the EMEP/CORINAIR Emission Inventory Guidebook
(EEA, 2005), the Netherlands often applies country-specific methods, including monitoring data and emission factors.
1.2 Institutional arrangements for inventory preparation
The Dutch Ministry of Housing, Spatial Planning and the Environment (VROM) has the overall responsibility for the emission inventory and submissions to CLRTAP. A Pollutant Release and Transfer Register (PRTR) system has been in operation in the Netherlands since 1974. From 2004 onwards, the Ministry of VROM has outsourced the full coordination of the PRTR to the Emission Registration team (ER-team) at the Netherlands Environmental Assessment Agency (PBL). The year 2010 marks the transition of responsibilities and staff of the ER-team from PBL to the National Institute for Public Health and the Environment (RIVM). This change in institutional arrangement will take effect in the IIR2011. The main objective of the emission inventory is to produce an annual set of unequivocal emission data, which is up-to-date, complete, transparent, comparable, consistent and accurate. Emission data are produced in an annual (project) cycle (PBL, 2009) and various external agencies contribute to the PRTR by performing calculations or submitting activity data (see next section). Besides the PBL, the following institutes contribute to the PRTR: Statistics Netherlands (CBS);
Netherlands Organisation for Applied Scientific Research (TNO);
RWS Centre for Water Management (RWS-WD) Deltares
Alterra WUR
NL Agency (Waste management division); Agricultural Economics Research Institute (LEI); Facilitating Organisation for Industry (FO-I), which
coordinates annual environmental reporting (AER) by companies.
Each of the contributing institutes has its own responsibility and role in the data collection, emission calculations and quality control. These are laid down in general agreements with PBL and in the annual project plan (PBL, 2009).
1.3 The process of inventory preparation
Data collection
For the collection and processing of data (according to pre-determined methods), the PRTR is organised in task forces. The task forces are formed by sector experts of the participating institutes. Methods are compiled on the basis of the best available scientific views. Changes in scientific views lead to changes in methods, and to recalculation of the historical emissions. The following task forces are recognised (see Figure 1.1):
task force on agriculture and land use; task force on energy, industry and waste; task force on traffic and transport;
task force on water and,
task force on product use and service sector. Every year, after collection of the emission data, several quality control checks are performed in the task forces during a yearly ‘trend analysis’ workshop. After approval by participating institutes, emission data are released for publication. Subsequently, emission data is des-aggregated to regional emission data for national use (e.g. 5x5 km grid data for provinces). The organisational arrangement of the Netherlands Pollutant Release and Transfer Register (PRTR). Figure 1.1 PRTR Organisational arrangement Ministry of VROM: dir. Climate and Air quality,
Ministry of LNV: dir. Agriculture Ministry of V&W Directorate-General for Public Works and Water Management: • Centre for Transport and Navigation • Centre for Water Management PRTR Steering body • Sponsors: – Ministry of VROM; – Ministery of V&W; – Ministry of LNV; • DCMR; • PBL; • RIVM. Personel (expertise) through general agreements and contracts with: • CBS (Statistics Netherlands) • RWS Centre for Water Management • NL Agency • PBL • TNO • LEI • Alterra WUR • Deltares • FO-I Project leader PRTR at PBL. PRTR Executive body (WEM) • Project leader PRTR • Representatives of the contributing institutes • Taskforce chairmen
Task force on agriculture and land use (TGL)
Task force ENINA (Energy, Industry en Waste)
Task force on Traffic and Transport Task force MEWAT (Emissions to water)
Task force WESP (Service sector and
product use) Seminar on uniforming
manure numbers (WUM)
Seminar on Land Use, Land Use Change and Forrestry (LULUCF) Interaction with Directorates of the involved Ministries Strategic decicion-making
Data storage
In cooperation with the contributing research institutes, emission data are collected and stored in a database managed by PBL.
About 250 companies, representing several hundreds facilities, are legally obliged to submit an Annual Environmental Report (AER). As from 1 January 2002, they may submit their AERs electronically. Each of these companies has an emission monitoring and registration system in which the specifications are in agreement with the competent authority. Usually, the licensing authorities (Provinces, State, etc.) validate and verify the reported emissions. In addition, a number of companies are required to report information under the BEES/A legislation. Other companies (about 200) provide emission data voluntarily within the framework of environmental covenants.
Information from the AERs is stored in a separate database at the PBL and formally owned by the companies involved. Point-source emission data in the AER database are checked for consistency by the task forces. The result is a selection of validated point-source emissions and activity data, which are then stored in the individual PRTR database (ER-I). The ER-I data is combined with supplementary estimates for Small and Medium-sized Enterprises (SMEs). Several methods are applied for calculating these emissions. TNO has derived emission factors for NOx emissions from small installations,
for instance (Van Soest-Vercammen et al., 2002), while, for other substances, the Implied Emission Factors (IEFs) derived from the AERs are applied to calculate sector emissions. Emissions from the ER-I database and collectively estimated industrial as well as non-industrial sources are stored in
the PRTR database (see Figure 1.2). The PRTR database, consisting of a large number of geographically distributed emission sources (about 1000), contains a complete record of emissions in the Netherlands for a particular year. Each emission source includes information on the Standard Industrial Classification code (SBI-code) and industrial sub sector, separate information in process and combustion emissions, and the relevant environmental compartment and location. These emission sources can be selectively aggregated, by NFR category.
As of January 2009 the Dutch legislation on PRTR is changed. New threshold values replaced reporting and as of January 2010 companies are obliged to submit there AER electronically to the Dutch AER database. The environmental effects will be reported in detail in the IIR 2011.
1.4 Methods and data sources
Methods used in the Netherlands are documented in several reports, protocols and in meta-data files, available on www. prtr.nl. However, some reports are only available in Dutch. For greenhouse gases (www.greenhousegases.nl), particulate matter (PM) and all emissions related to mobile sources, the documentation has been translated in English.
In general, two emission models are used in the Netherlands: A model for emissions of large point sources (e.g. large
industrial, power plants) that are registered individually and supplemented with emission estimates for the remainder of the companies in a subsector (based mainly on IEFs from the individually registered companies). This is the so-called ‘bottom up’ method.
The data flow in the Netherlands Pollutant Release and Transfer Register.
Figure 1.2 Data flow in the Netherlands Pollutant Release and Transfer Register (PRTR)
(Electronic) Annual Environmental Reports (AER) (Individual facilities) AER database ER-I database Collective industrial sources Area/diffuse sources Activity data Emission factors (Literature, measurements) (Task forces PRTR) Geographical distribution data PRTR-database Statistics Netherlands etc. (Task forces PRTR) (Task forces PRTR) (Task forces PRTR)
A model for emissions of diffuse sources (e.g. road transport, agriculture) that are calculated from activity data and emission factors from sectoral emission inventory studies in the Netherlands (e.g. SPIN documents produced by the ‘Cooperation project on industrial emissions’). The following sections sketch these methods, which are discussed in more detail, by sector or subsector, for the top ten key sources mentioned in Chapter 3.
1.5 Key source analysis
For all components, more than 95% of national total emissions should be covered by the key source categories. The REPDAB generated key source category list is insufficient for this purpose. Table 1.1 shows the key source categories which cover 95% of the national total for a component. See UNECE (2009) for an explication of the source category coding. Key source categories for SOx, NOx, NH3 and NMVOC
Component SOx NOx NH3 NMVOC
Key source categories (Sorted from high to low from top to bottom)
1 A 1 b 49.7% 1 A 3 b iii 20.7% 4 B 1 a 29.0% 3 D 2 11.9% 1 A 1 a 11.7% 1 A 3 b i 11.8% 4 B 8 23.0% 3 A 2 11.4% 1 A 2 b 7.0% 1 A 1 a 8.4% 4 B 1 b 14.4% 1 A 3 b i 10.2% 1 A 2 a 6.8% 1 A 3 d i (ii) 5.8% 4 D 1 a 8.9% 2 G 7.7% 1 A 2 c 6.4% 1 A 3 b ii 5.4% 4 B 9 a 7.5% 3 D 3 5.8% 1 A 2 f i 5.0% 1 A 4 a i 4.6% 4 B 9 b 4.6% 1 A 3 b iv 5.7% 1 A 3 d i (ii) 2.4% 1 A 4 c ii 4.5% 7 A 3.8% 1 A 4 b i 5.4% 2 A 7 d 1.8% 1 A 4 b i 4.4% 4 B 6 3.4% 2 B 5 a 4.5% 1 A 4 c ii 1.4% 1 A 2 c 4.3% 1 A 3 b i 1.8% 1 B 2 a i 4.0% 1 A 3 d ii 1.2% 1 A 4 c i 4.3% 2 D 2 3.2% 1 A 4 a i 1.1% 1 A 3 d ii 3.8% 1 A 1 b 3.2% 1 A 2 f ii 1.0% 1 A 4 c iii 3.5% 3 D 1 3.0% 1 A 1 b 2.9% 1 A 3 b v 2.5% 1 A 2 f ii 2.9% 1 B 2 a iv 2.5% 1 A 2 f i 2.6% 3 A 1 2.3% 1 A 1 c 1.9% 1 A 3 d ii 2.3% 1 A 2 a 1.8% 1 A 3 b iii 1.9% 1 A 4 a ii 1.7% 3 B 1 1.4% Energy 1 A 4 c i 1.1% Transport 1 A 4 b ii 1.0% Industry 1 B 2 b 1.0%
Solvent and product use 1 A 4 c ii 0.9%
Agriculture 1 A 3 b ii 0.9%
Waste 1 A 2 f ii 0.7%
Other 1 A 3 d i (ii) 0.5%
Total (%) 95.6% 95.4% 96.4% 95.0%
1.6 Reporting, QA/QC and archiving
Reporting
The Informative Inventory Report is prepared by PBL, with contributions by experts from the PRTR task forces.
QA/QC
The PBL and therefore the PRTR have been ISO 9001:2000 certified for many years. However on 1 January 2009, PBL did not renew its certification, because of a merger with another assessment agency. Instead, the PBL decided to introduce the EFQM-based (Dutch) INK model (see http://ww1.efqm. org/en/ and http://www.ink.nl). As of 1 January 2010, the PRTR is a project belonging to the Centre for Environmental Monitoring (RIVM-CMM). RIVM-CMM has an ISO 9001:2000 AQ/QC system in place, and documentation and archiving will be done according to procedures of the quality manual. Arrangements and procedures for the contributing institutes are described in an annual project plan (PBL, 2009).
In general, the following QA/QC activities are performed:
Quality assurance (QA)
QA activities can be summarised as follows:
For the energy, industry and waste sectors, emission calculation in the PRTR is based mainly on AERs by companies (facilities). The companies themselves are responsible for the data quality; the competent authorities (in the Netherlands, mainly provinces and local authorities) are responsible for checking and approving the reported data, as part of the annual quality assurance.
As part of the evaluation process of the previous cycle, internal audits are performed within PBL as part of the ISO certification.
Furthermore, there are annual external QA checks on selected areas of the PRTR system.
QC checks. A number of general QC checks have been introduced as part of the annual work plan of the PRTR. The Key source categories for CO and particulate matter (PM) species
CO TSP PM10 PM2.5 1 A 3 b i 32.0% 4 B 9 a 13.0% 4 B 9 a 15.4% 1 A 3 b i 13.0% 1 A 2 a 13.3% 2 C 1 8.9% 2 D 2 7.3% 1 A 3 b ii 10.1% 1 A 3 b iv 10.0% 1 A 4 b i 7.6% 1 A 3 b i 6.9% 1 A 4 b i 8.5% 1 A 4 b i 9.6% 2 D 2 7.3% 4 B 8 6.9% 1 A 3 b iii 7.2% 2 C 5 e 6.9% 2 G 6.0% 2 G 6.4% 7 A 7.0% 1 A 4 b ii 5.2% 1 A 3 b i 5.9% 1 A 3 b ii 5.4% 4 B 9 a 5.8% 1 A 3 d ii 4.3% 4 B 8 5.9% 1 A 4 b i 5.0% 1 A 1 b 4.9% 1 A 2 c 3.4% 2 B 5 a 4.8% 1 A 3 b vi 4.1% 2 C 1 4.8% 1 A 4 a ii 2.5% 1 A 3 b ii 4.5% 2 C 1 4.1% 1 A 4 c ii 3.6% 1 A 3 b iii 1.8% 1 A 3 b vi 3.5% 1 A 3 b iii 3.8% 2 G 3.5% 1 A 3 b ii 1.6% 1 A 1 b 3.4% 7 A 3.7% 1 A 3 d i (ii) 3.3% 1 A 2 f ii 1.5% 1 A 3 b iii 3.3% 1 A 1 b 3.5% 2 B 5 a 3.2% 1 A 2 e 0.8% 7 A 3.1% 3 D 3 3.5% 4 B 8 2.6% 1 A 2 b 0.7% 3 D 3 2.9% 2 A 7 d 3.3% 1 A 2 f ii 2.5% 1 A 1 b 0.7% 2 A 7 d 2.8% 1 A 3 b vii 3.1% 2 A 7 d 2.5% 1 A 3 d i (ii) 0.7% 1 A 3 b vii 2.7% 4 B 1 a 2.4% 1 A 3 d ii 2.4% 1 A 4 c ii 0.7% 4 B 1 a 2.0% 2 B 5 a 2.3% 2 D 2 2.3% 1 A 4 c ii 1.7% 1 A 4 c ii 2.0% 3 D 3 2.2% 1 A 3 d i (ii) 1.6% 1 A 3 d i (ii) 1.9% 1 A 3 b vi 1.4% 1 A 1 a 1.3% 1 A 2 f ii 1.4% 2 C 5 e 1.2% 1 A 2 f ii 1.2% 1 A 3 d ii 1.3% 1 A 4 c iii 1.2% 1 A 3 d ii 1.1% 2 D 1 1.0% 1 A 1 a 1.1% 2 C 5 e 1.1% 4 D 2 a 1.0% 4 B 1 a 0.9% 95.6% 95.5% 95.7% 95.1% Table 1.1b
Key source categories for Pb, Hg, Cd, DIOX and PAH
Pb Hg Cd DIOX PAH 2 C 1 64.3% 2 C 1 31.9% 2 C 1 53.6% 3 D 3 65.1% 1 A 4 b i 56.1% 1 A 3 b vi 14.3% 1 A 1 a 18.9% 2 B 5 a 33.7% 1 A 4 b i 17.2% 2 C 5 e 19.6% 1 A 4 b i 5.6% 6 C c 12.7% 1 A 4 b i 3.6% 1 A 2 a 9.2% 2 C 1 5.0% 1 A 3 a ii (i) 5.3% 2 A 1 11.5% 6 C c 3.3% 6 C c 2.4% 1 A 3 b i 4.5% 2 A 7 d 3.9% 6 C d 8.4% 2 C 5 e 2.4% 1 A 3 b i 1.1% 1 A 3 b iii 3.1% 2 B 5 a 3.7% 2 A 7 d 6.1% 1 A 3 b iv 0.9% 1 A 2 f i 2.8% 1 A 2 f i 4.3% 1 A 3 b iv 1.9% 2 B 5 a 3.0% 2 G 1.3% 1 A 3 b ii 1.2% 97.1% 96.8% 96.6% 95.9% 95.5% Table 1.1c
QC checks built into the work plan aim at covering such issues as consistency, completeness and accuracy of the NFR data. The general QC for the inventory is largely performed within the PRTR as an integrated part of the working processes. For the 2010 inventory the PRTR task forces filled in a standard-format database with emission data from 1990 to 2008. After a first check of the emission files, by the PBL for completeness, the data becomes available to the specific task force for checking consistency and trend (comparability, accuracy). The task forces access information on all
emissions in the database, by means of a web-based emission reporter, and are facilitated by the ER-team with comparison information on trends and time series. Several weeks before the data set is fixed, a trend verification workshop will be organised by the PBL (see Text box 1.1).
Archiving and documentation
Internal procedures are agreed on (for example, in the PRTR work plan) for general data collection and the storage of fixed data sets in the PRTR database at PBL, including the documentation/archiving of QC checks. Moreover, updating of monitoring protocols for substances under the Convention for Long Range Transboundary Air Pollution is one of the priorities within the PRTR system. Emphasis is put on documentation of methodologies for calculating SOx, NOx
, NMVOC, NH3 and PM10 (PM2,5). Methodologies/ protocols,
emission data (including the emissions of Large Point Sources on the basis of Annual Environmental Reports), as well as such emission reports as the National Inventory Report (UNFCCC) and the Informative Inventory Report (CLRTAP), are made available on the website of the PRTR: www.prtr.nl or www.emissieregistratie.nl (Dutch version). Each institution involved in the PRTR is responsible for QA/QC aspects related to reports based on the annually fixed database.
1.7 Uncertainties
Uncertainty assessments constitute a means to either provide the inventory users with a quantitative assessment of the
inventory quality or to direct the inventory preparation team to priority areas, where improvements are warranted and can be made cost-effective. For these purposes, quantitative uncertainty assessments have been carried out for these purposes since 1999. However, awareness of uncertainties in emission figures was expressed earlier in the PRTR in so-called quality indices and in several studies on industrial emissions and generic emission factors for industrial processes and diffuse sources. To date, the Dutch PRTR gives only one value for emissions (calculation result, rounded off to three significant digits).
The information on the quality of emission figures presented here is based on the TNO report ‘Uncertainty assessment of NOx, SO2 and NH3 emissions in the Netherlands’ (Van Gijlswijk
et al., 2004), which presents the results of a Tier-2 ‘Monte Carlo’ uncertainty assessment.
1.7.1 Quantitative uncertainty
Uncertainty estimates in national total emissions have been reported in the Environmental Balances since 2000 (PBL, 2009a). These estimates were based on uncertainties by source category using simple error propagation calculations (Tier 1). Most uncertainty estimates are based on the judgement of RIVM/PBL emission experts. A preliminary analysis on NMVOC emissions showed an uncertainty range of about 25%. In a recent study (Van Gijlswijk et al., 2004) the uncertainty in the contribution of the various emission sources to total acidification (in acidification equivalents) was assessed according to the Tier-2 methodology (estimation of uncertainties by source category using Monte Carlo analysis). See Table 1.2 for results. A comparison was also made between the Tier-1 and Tier-2 methodologies. This is not straightforward as the two studies use a different knowledge collection. The 2000 Tier-1 analysis used CLRTAP default uncertainties for several NOx processes, which explains the
difference with the 1999 Tier-1 results. For NH3, the difference
between the 2000 Tier-1 and Tier-2 can be explained by taking non-normal distributions and dependencies between individual emission sources for each animal type into account (both are violations of the Tier-1 assumptions: effects
Several weeks in advance of a trend analysis meeting, a snapshot from the database is made available by PBL in a web-based application (Emission Explorer, EmEx) for checks by the institutes involved and experts (PRTR task forces). In this way the task forces can check for level errors and consistency in the algorithm/method used for calculations throughout the time series. The task forces perform checks for relevant gases and sectors. The totals for the sectors are then compared with the previous year’s data set. Where significant differences are found, the task forces evaluate the emission data in more detail. The results of these checks form the subject of discussion at the trend analysis workshop and are subsequently documented. Furthermore, the ER-team provides the task forces with time series of emissions per substance for the individual target sectors. The task forces examine these time series. During the trend analysis for this inventory the emission data were checked in two ways: 1) emissions from 1990 to 2007 from the new time series were compared with the time series of last years inventory and 2) the data for 2008 were compared with the trend development per gas since 1990. The checks of outliers are performed on a more detailed level of the sub-sources in all sector background tables: annual changes in emissions; annual changes in activity data; annual changes in implied emission factors and level values of implied emission factors. Exceptional trend changes and observed outliers are noted and discussed at the trend analysis workshop, resulting in an action list. Items on this list have to be processed within 2 weeks or be dealt with in next year’s inventory.
encapsulated in the 1999 Tier-1 analysis). The differences for SO2 and total acidifying equivalents are small. The conclusion
drawn from this comparison is that focusing on the order of magnitude of the individual uncertainty estimates, as in the RIVM (2001) study, provides a reasonable first assessment of the uncertainty of source categories.
The RIVM (2001) study draws on the results of an earlier study on the quality of nitrogen oxides (NOx) and sulphur dioxide
(SO2) emissions, as reported by individual companies for
point sources under their national reporting requirements. Besides providing quantitative uncertainty estimates, the study yielded important conclusions. One example was that a limited number of facilities showed high uncertainties (e.g. 50% or more for NOx), which could be reduced with
little extra effort, and that companies generally have a lack of knowledge on the uncertainty about the emissions they report.
In the study by Van Gijlswijk (2004), emission experts were systematically interviewed on quantitative uncertainties, which provided simultaneous information on the reliability and quality of the underlying knowledge base. For processes not covered by interviews, standard default uncertainties, derived from the Good Practice Guidance for CLRTAP emission inventories, were used (Pulles and Van Aardenne, 2001). The qualitative knowledge (on data validation, methodological aspects, empirical basis and proximity of data used) has been combined into a score for data
strength, based on the so-called NUSAP approach (Van der Sluijs et al., 2003; Van der Sluijs et al., 2005). The qualitative and quantitative uncertainties were combined in so-called diagnostic diagrams that can be used to identify areas for improvement, since the diagrams indicate strong and weak parts of the available knowledge (see Figure 1.3). Sources with a relatively high quantitative uncertainty and weak data strength are thus candidates for improvement. To effectively reduce the uncertainty, the nature of uncertainties must be known (e.g. random, systematic or knowledge uncertainty). A general classification scheme on uncertainty typology is given in Van Asselt (2000).
1.8 Explanation on the use of notation keys
The Dutch emission inventory covers all relevant sources specified in the CLRTAP that determine the emissions to air in the Netherlands. Because of the long history of the inventory it is not always possible to specify all subsectors in detail. This is the reason why notation keys are used in the emission tables (NFR). These notation keys will be explained in tables 1.3 – 1.5.
Figure 1.3 Uncertainty (95% confidence ranges) in acidifying compounds and for total acidifying equivalents for
emissions in 1999 (RIVM, 2001) and 2000 (Van Gijlswijk et al., 2004)
Component Tier-1 for 1999 Tier-1 for 2000 Tier-2 for 2000
NH3 ± 17% ± 12% ± 17%
NOx ± 11% ± 14% ± 15%
SO2 ± 8% ± 6% ± 6%
Total acid equivalents ± 9% ± 8% ± 10%
Table 1.2 NUSAP diagnostic diagram indicating strong and weak elements in the available knowledge on acidifying substances. Figure 1.3 0.0 0.5 1.0 1.5 2.0 2.5 3.0
Strength (average pedigree score) 0.00
0.05 0.10 0.15
0.20 Rank correlation squared 1 NH
3 dairy cows, manure application
2 NOx mobile sources agriculture
3 NOx agricultural soils
4 NH3 meat pigs, manure application
5 NOx highway, gasoline personal cars
6 NH3 dairy cows, animal housing and storage
7 NOx highway truck trailers
8 NH3 breeding stock pigs, manure application
9 NH3 calves and yearlings, manure application
10 NH3 synthetic fertilizer application
Diagnostic diagram acidifying equivalents
1 2 3 4 5 6 7 8 9 10 zoneSafe Danger zone
1.9 Missing sources
The Netherlands emission inventory covers all important sources.
Sub-sources accounted for in reporting ‘other’ codes, with NO/NA meaning not occurring or not applicable
NFR09 code Substance(s) reported Subsource description
1 A 2 f Combustion (not reported elsewhere) in industries,
ma-chineries, services, product-making activities.
1 A 5 a combustion gas from landfills
1 A 5 b NO/NA
1 B 1 c NO/NA
1 B 3 NO/NA
2 A 7 d Processes, excl. combustion, in building activities, production of building materials
2 B 5 a Production of chemicals, paint, pharmaceutics, soap,
de-tergents, glues and other chemical products.
2 B 5 b NO/NA
2 C 5 e Production of non-ferrous metals
2 C 5 f Production of non-ferrous metals
2 G Production of wooden, plastic, rubber, metal, textile and paper products.
3 A 3 NO/NA
4 B 13 NH3 pets
4 G NH3, TSP, PM10, PM2.5 handling agricultural base materials and products
6 D Handling waste
7 A smoking tobacco products (All substances, excl NMVOC); perspiration, breathing (NH3)
7 B NO/NA
11 C NO/NA
Table 1.5 The Not Estimated (NE) notation key explained
NFR code Substance(s) Reason for reporting NE
1 A 3 a i (ii) All Not in PRTR
Table 1.3
The Included Elsewhere (IE) notation key explained
NFR09 code Substance(s) Included in NFR code
1 A 3 a ii (ii) All 1 A 3 a ii (i)
1 B 2 c All 1 B 2 b, 1 B 2 a iv 4 B 1 b TSP, PM10, PM2.5 4 B 1 a 1 A 3 e All 1 A 2 f i, 1 A 4 c ii, 1 B 2 b 2 A 2 All 2 A 7 d 2 A 5 NMVOC 2 A 7 d 2 A 6 All 2 A 7 d 2 B 1 NMVOC, NH3 2 B 5 a 2 B 2 NH3 2 B 5 a 2 B 4 NMVOC 2 B 5 a 2 C 2 All 2 C 1 2 C 3 All 2 C 5 e 2 C 5 a-d,f All 2 C 5 e 4 B 3 NH3 4 B 1 b 4 B 4 NH3 4 B 1 b 4 B 9 c NH3 4 B 9 b 4 B 9 d NH3 4 B 9 a Table 1.4
2.1 Trends in national emissions
The emissions of all substances showed a downward trend in the 1990-2008 period (see Table 2.1). The major overall drivers for this trend are:
emission reductions in the industrial sectors, cleaner fuels and
cleaner cars.
European regulations for road traffic emissions have caused a decrease in vehicle emissions of 79% since 1990 for NMVOC, 45% for PM, 54% for NOx and 98% for SO2, despite a growth in
traffic of 35%. For PM and NOx, standards have been set for
installations by tightening up the extent of emission stocks of heating installations (BEES). In meeting these requirements Dutch industrial plants have realised a reduction of 68% in PM emissions and 50% in NOx emissions, since 1990. The drivers
for the downward emission trend for specific substances will be elaborated in more detail in the next section. Information
on sector split and trends for heavy metals and dioxins are not included, as information from the IIR2009 is up to date.
Trends in emissions
2
Total national emissions, 1990-2008
Main Pollutants Particulate Matter Priority Heavy Metals
NOx CO NMVOC SOx NH3 TSP PM10 PM2.5 Pb Cd Hg Year Gg Gg Gg Gg Gg Gg Gg Gg Mg Mg Mg 1990 557 1093 461 192 253 96 75 46 338 2.1 3.5 1995 464 845 322 129 196 71 55 34 162 1.1 1.2 2000 390 687 227 73 155 50 44 25 36 1.0 0.9 2005 341 600 175 65 137 44 38 21 39 1.7 0.8 2007 299 567 164 60 137 44 37 20 45 1.7 0.9 2008 293 559 160 52 135 43 37 19 45 1.7 0.9 period 1990-2008, abs -264 -534 -301 -140 -118 -53 -38 -27 -294 -0.4 -3 period 1990-2008, %1990 -47% -49% -65% -73% -47% -55% -51% -58% -87% -20% -75%
POPs Other Heavy Metals
DIOX PAH As Cr Cu Ni Se Zn Year g I-Teq Mg Mg Mg Mg Mg Mg Mg 1990 740 14.7 1.5 9.9 71.5 75.3 0.4 224.8 1995 67 7.7 1.0 6.6 73.6 86.6 0.3 146.1 2000 30 4.8 1.1 3.1 77.1 18.7 0.5 95.8 2005 36 5.1 1.5 2.2 81.9 10.7 2.4 88.9 2007 26 3.8 1.1 2.2 83.9 9.2 1.0 95.0 2008 25 4.0 1.1 2.2 85.3 9.3 1.0 86.8 period 1990-2008, abs -715 -10.7 -0.4 -7.7 13.8 -65.9 0.6 -138 period 1990-2008, %1990 -97% -73% -27% -77% 19% -88% 165% -61% Table 2.1
2.2 Trends in sulphur dioxide (SO
2)
The Dutch SOx emissions (reported as SO2) decreased by
140 Gg, in the 1990-2008 period, corresponding to 73% of the national total in 1990 (Figure 2.1). Main contributions to this decrease came from the energy, industry and transport sectors. The use of coal declined and major coal-fired electricity producers installed flue-gas desulphurisation plants. The sulphur content in fuels for the (chemical) industry and traffic was also reduced. At present the industry, energy and refining sector (IER) is responsible for 88% of the national SO2 emissions. SO2, emission trend 1990-2008 and share by sector in 1990 and 2008. Figure 2.1 1990 1995 2000 2005 2010 0 50 100 150 200 Gg Other 2 Industrial processes 1A3 Transport 1A1a Power plants 1A2 Industry 1A1b Refining Total SO2 emissions 35 % 19 % 23 % 8 % 8 % 7 % Share 1990 192 Gg 50 % 27 % 12 % 5 % 2 % 5 % Share 2008 52 Gg -150 -100 -50 0 50 Gg Change 1990 – 2008
2.3 Trends in nitrogen oxides (NO
x)
The Dutch NOx emissions (NO and NO2, expressed as NO2)
decreased by 264 Gg, in the 1990-2008 period, corresponding to 47% of the national total in 1990 (Figure 2.2). Main
contributors to this decrease were the road-transport and energy sectors. The emissions per vehicle decreased significantly in this period, but the effect on total emissions was partially counterbalanced by an increase in number and mileages of vehicles. The share of the different NFR categories in the national total did not change significantly.
NOx, emission trend 1990-2008 and share by sector in 1990 and 2008.
Figure 2.2
Share 1990 Share 2008 Change 1990 – 2008
49 % 15 % 19 % 14 % 3 % 557 Gg 49 % 6 % 24 % 14 % 6 % 293 Gg 1990 1995 2000 2005 2010 0 100 200 300 400 500 600 Gg Other 1A2 Industry 1A1 Energy
1A4 Residential, commercial 1A3 Transport
Total NOx emissions
-300 -200 -100 0 100
2.4 Trends in ammonia (NH
3)
The Dutch NH3 emissions decreased by 118 Gg, in the
1990-2008 period, corresponding to 47% of the national total in 1990 (Figure 2.3). This decrease was due to emission reductions from agricultural sources. The direct emissions from animal husbandry decreased slightly as a result of decreasing animal population and measures to reduce emissions from animal houses. Application emissions decreased because of measures taken to reduce the emissions from applying manure to soil and to reduce the total amount of N applied to soil. At present over 90% of Dutch NH3 emissions come from agricultural sources.
NH3, emission trend 1990-2008 and share by sector in 1990 and 2008.
Figure 2.3
Share 1990 Share 2008 Change 1990 – 2008
1990 1995 2000 2005 2010 0 50 100 150 200 250 300 Gg Other 2 Industrial Processes 1 Energy
4 Other agricultural activities 4B8 Swine 4B1 Cattle Total NH3 emissions 53 % 27 % 15 % 1 % 2 % 2 % 253 Gg 43 % 23 % 25 % 2 % 1 % 5 % 135 Gg -150 -100 -50 0 50 Gg
2.5 Trends in non-methane volatile
organic compounds (NMVOC)
The Dutch NMVOC emissions decreased by 301 Gg, in the 1990-2008 period, corresponding to 65% of the national total in 1990 (Figure 2.4). All major source categories contributed to this decrease, for example, transport (introduction of catalyst and cleaner engines), product use (intensive programme to reduce NMVOC content in consumer products and paints) and industry (introducing emission abatement specific for NMVOC).
NMVOC, emission trend for 1990-2008 and share by sector in 1990 and 2008
Figure 2.4
Share 1990 Share 2008 Change 1990 – 2008
1990 1995 2000 2005 2010 0 100 200 300 400 500 Gg Other
1A1,1A2 Energy, Industry 1A4 Residential, commercial 1B Oil & gas
2 Industrial processes 3 Applications 1A3 Transport Total NMVOC emissions 37 % 28 % 18 % 7 % 4 % 6 % 0 % 461 Gg 24 % 36 % 16 % 7 % 10 % 5 % 1 % 160 Gg -400 -300 -200 -100 0 100 Gg
2.6 Trends in PM
10Dutch PM10 emissions decreased by 38 Gg, in the 1990-2008
period, corresponding with 51% of the national total in 1990 (Figure 2.5). The major source categories contributing to this decrease are:
industry (combustion and process emissions), due to cleaner fuels in refineries and the side-effect of emission abatement for SO2 and NOx , and
traffic and transport
The emissions from animal husbandry in agriculture did not change significantly; neither did the emissions from consumers (1A4bi).
PM10, emission trend 1990-2008 and share by sector in 1990 and 2008.
Figure 2.5
Share 1990 Share 2008 Change 1990 – 2008
1990 1995 2000 2005 2010 0 20 40 60 80 Gg Other 3 Applications
1A4 Residential, commercial 1A1, 2 Energy, Industry 2 Industrial processes 4 Agriculture 1A3 Transport Total PM10 emissions 23 % 12 % 39 % 14 % 7 % 1 % 3 % 75 Gg 27 % 26 % 25 % 6 % 8 % 3 % 4 % 37 Gg -40 -30 -20 -10 0 10 Gg
2.7 Trends in PM
2.5PM2.5 emissions are also included in the 2009 submission to
UNECE. These emissions are calculated as a specific fraction of PM10 by sector (based on Visschedijk et al., 1998). PM2.5
emissions in the Netherlands decreased by 27 Gg, in the 1990-2008 period, corresponding with 58% of the national total in 1990 (Figure 2.7). The two major source categories contributing to this decrease were the industrial sector (combustion and process emissions), due to cleaner fuels in refineries and the side-effect of emission abatement for SO2
and NOx , and the transport sector.
PM2.5 emissions.
Figure 2.6
Share 1990 Share 2008 Change 1990 – 2008
1990 1995 2000 2005 2010 0 10 20 30 40 50 Gg Other 3 Applications
1A4 Residential, commercial 1A1, 2 Energy, Industry 2 Industrial processes 4 Agriculture 1A3 Transport Total PM2.5 emissions 33 % 4 % 30 % 16 % 11 % 1 % 6 % 46 Gg 39 % 10 % 18 % 9 % 14 % 2 % 7 % 19 Gg -30 -20 -10 0 10 Gg
2.8 Trends in PAH
Polycyclic aromatic hydrocarbons (PAHs) emissions in the Netherlands decreased by 10.7 Mg, in the 1990-2008 period, corresponding to 73% of the national total in 1990 (Figure 2.8). The major contributors to this decrease are the:
(metal) industry (general emission reduction) and product use (ban on creosoted wood in several
applications).
Please note that – unlike in former submissions – the
Netherlands now reports PAH emissions according to the NFR template, reporting on the 4 PRTR PAHs individually and in total.
PAH, emission trend 1990-2008 and share by sector in 1990 and 2008.
Figure 2.7
Share 1990 Share 2008 Change 1990 – 2008
1990 1995 2000 2005 2010
0 5 10
15 Mg Other
1A1, 1A2 Energy, Industry 2C Metal industry
2G Other industrial processes 1A4, 1A5 Residential, commercial, other 1A3 Transport 3 Applications Total PAH emissions 17 % 10 % 22 % 9 % 29 % 12 % 1 % 14.7 Mg 1 % 13 % 57 % 1 % 24 % 3 % 1 % 4.0 Mg -15 -10 -5 0 5 Mg
About 80-100% of the NOx, SO2, PM10 and NH3 emissions
from stationary combustion (categories 1A1, 1A2, 1A4 and 1A5) are based on environmental reports of large industrial companies. The emission data in the Annual Environmental Reports (AERs) are based on direct emission measurements (see formula below) or calculations based on fuel input and emission factors. The emission factors used in the calculations are also based on measurements according to this formula.
Emission = [Concentration]*Flow*Duration of emission where:
[Concentration] = Online (semi-)continuous measurement: frequency - seconds to daily
Discontinuous measurement: several times a year, directly in air flow Off line: sampling and analysis in
laboratory
Flow = Flow-speed measurement in air flow; surface of flow channel; calculation based on fuel or raw materials/production quantities; for diffuse emissions: calculation of air flow over source Duration = Calculation based on process-control data The emissions and fuel consumption data in the AERs are systematically examined for inaccuracies by checking the resulting implied emission factors. If the environmental report provides data of high enough quality (see Section 1.3 on QA/ QC), the information is used to calculate an ‘implied emission factor’ for a cluster of reporting companies (aggregated by SBI code) and the emission factor ER-I. These emission factors are fuel and sector dependent.
EF ER-I(SBI category, fuel type) = Emissions ER-I (SBI category, fuel type)
Energy use ER-I (SBI category, fuel type)
where:
EF = emission factor
ER-I = Emission Registration database for individual companies
Next, the total combustion emissions in this SBI category are calculated from the energy use NEH, as provided in the Netherlands Energy Statistics (Statistics Netherlands), multiplied by the implied emission factor.
ER-I_SBI_emission(SBI category, fuel type) = EF ER-I (SBI category, fuel type) *
Energy NEH (SBI category, fuel type)
For sectors without individual registration of emissions (e.g. residential and agricultural sectors), a set of specific emission factors is used (see Section 3.3).
3.1 Energyindustries(1A1)
Publicelectricityandheatproduction(1A1a)
Emission data are based on Annual Environmental Reports and collectively estimated industrial sources. For this source category, the percentages of emissions based on annual reports are: 90% for NOx, 80% for SO2, 90% for CO and 100% for
Hg, Cd and dioxins.
Category 1A1a describes a key source for the following components: SOx (11.7%) NOx (8.4%) TSP (1.3%) PM2.5 (1.1%) Hg (18.9%) (% of national total in 2008) Petroleumrefining(1A1b)
All emission data are based on Annual Environmental Reports and registered in the ER-I database.
Energy,stationaryfuel
Category 1A1b describes a key source for the following components: SOx (49.7%) NOx (2.9%) NMVOC (3.2%) CO (0.7%) TSP (3.4%) PM10 (3.5%) PM2.5 (4.9%) (% of national total in 2008)
Manufacture of solid fuels and other energy industries (1A1c)
Category 1A1c describes a key source for the following component:
NOx (1.9%)
(% of national total in 2008)
3.2 Manufacturing industries and construction (1A2)
Iron and steel (1A2a)
All emission data are based on Annual Environmental Reports and registered in the ER-I database.
Category 1A2a describes a key source for the following components: SOx (6.8%) NOx (1.8%) CO (13.3%) DIOX (9.2%) (% of national total in 2008)
Non-ferrous metals (1A2b)
Emission data are based on Annual Environmental Reports and collectively estimated industrial sources. For this source category, the percentage of SO2 emissions, based on annual
reports, is 100%.
Category 1A2b describes a key source for the following components:
SOx (7.0%)
CO (0.7%)
(% of national total in 2008)
Chemicals (1A2c)
Emission data are based on Annual Environmental Reports and collectively estimated industrial sources. For this source category, the percentages of emissions based on annual reports are about 100% for SO2, 90% for NOx, 75% for CO and
100% for Pb, Cd and dioxins.
Category 1A2c describes a key source for the following components:
SOx (6.4%)
NOx (4.3%)
CO (3.4%) (% of national total in 2008)
Pulp, paper and print (1A2d)
All emission data are based on Annual Environmental Reports and registered in the ER-I database. No key sources are found in this category.
Food processing, beverages and tobacco (1A2e)
Emission data are based on Annual Environmental Reports and collectively estimated industrial sources.
Category 1A2e describes a key source for the following component:
CO (0.8%)
(% of national total in 2008)
Other (1A2f)
This sector includes all combustion emissions from the industrial sectors not belonging to the categories 1A2a to 1A2e. Results for stationary (1A2fi) and mobile sources (1A2fii) are separately reported, with emission data being based on Annual Environmental Reports and collectively estimated industrial sources.
Category 1A2fi describes a key source for the following components: SOx (5.0%) NOx (2.6%) Hg (4.3%) PAH (2.8%) (% of national total in 2008)
Category 1A2fii describes a key source for the following components: SOx (1.0%) NOx (2.9%) NMVOC (0.7%) CO (1.5%) TSP (1.2%) PM10 (1.4%) PM2.5 (2.5%) (% of national total in 2008)
3.3 Other sectors (1A4)
Commercial / institutional (1A4a)
Combustion emissions from the commercial and institutional sector are based on fuel consumption data (Statistics Netherlands) and emission factors (see Table 3.1.). Results for stationary (1A4aii) and mobile sources (1A4ai) are separately reported.
Category 1A4ai describes a key source for the following components:
SOx (1.1%)
NOx (4.6%)
Category 1A4aii describes a key source for the following component: NOx (1.7%) CO (2.5%) (% of national total in 2008) Residential (1A4b)
1A4bi Residential plants
Combustion emissions of central heating, hot water and cooking are based on fuel consumption data (Statistics Netherlands) and emission factors (see Table 3.2.). The major fuel used in this category is natural gas. The use of wood in stoves and fireplaces for heating is almost negligible. Combustion emissions of (wood) stoves and fireplaces are calculated by multiplying the fuel consumption by apparatus type and by fuel type (Statistics Netherlands) with emission factors per house (Hulskotte et al., 1999).
Category 1A4bi describes a key source for the following components: NOx (4.4%) NMVOC (5.4%) CO (9.6%) TSP (7.6%) PM10 (5.0%) PM2.5 (8.5%) Pb (5.6%) Cd (3.6%) DIOX (17.2%) PAH (56.1%) (% of national total in 2008)
1A4bii Household and gardening (mobile)
Category 1A4bii describes a key source for the following components:
NMVOC (1.0%)
CO (5.2%)
(% of national total in 2008)
Agriculture / forestry / fishing (1A4c)
1A4ci Stationary
Stationary combustion emissions are based on fuel consumption obtained from Statistics Netherlands, which is, in turn, based on data from the Agricultural Economics Research Institute, and emission factors (Table 3.1). Category 1A4ci describes a key source for the following components:
NOx (4.3%)
NMVOC (1.1%) (% of national total in 2008)
1A4cii Off-road vehicles and other machinery
Combustion emissions of CO, NMVOC, NOx, PM10, SO2 and
heavy metals from off-road vehicles and other machinery are based on fuel consumption and emission factors (g/kg fuel). Fuel consumption data for privately-owned agricultural machinery is provided by the Agricultural Economics Research Institute LEI, while data for agricultural machinery from equipment rental companies is provided by Statistics Netherlands. Fuel consumption in the construction sector is based on production statistics of this sector, provided by Statistics Netherlands. The fuel consumption of other machinery is highly uncertain, as it is based on the difference between the total amount of gas oil used according to Emission factors for stationary combustion emissions from the services sector and agriculture (g/GJ)
Natural gas Domestic fuel oil LPG Paraffin oil Coal Oil fuel
VOC 30 10 2 10 35 10 SO2 0.22 87 0.22 4.6 460 450 NOx 1) 50 40 50 300 125 CO 10 10 10 10 100 10 Carbon black 5 10 2 50 Fly ash 100 PM10 0.15 4.5 2 1.8 2 45 PM coarse 0.5 0.2 80 5
1) see table on NOx emission factors in Van Soest-Vercammen et al. (2002)
Table 3.1
Emission factors for combustion emissions from households (g/GJ)
Natural gas Domestic fuel oil LPG Paraffin oil Coal
VOC 6.3 15 2 10 60 SO2 0.22 87 0.22 4.6 420 NOx 1) 50 40 50 75 CO 15.8 60 10 10 1500 Carbon black 0.3 5 10 2 Fly ash 200 PM10 0.3 4.5 2 1.8 120 PM coarse 0.5 0.2 80
1) See table on NOx emission factors in Van Soest-Vercammen et al. (2002)
Netherlands energy statistics (NEH) minus the gas oil use in the agricultural and construction sectors. Combustion emissions of NH3 are based on emission factors (Ntziachristos
and Samaras, 2000) and total fuel consumption by off-road vehicles and other machinery. NMVOC and PAH combustion emissions are calculated by using NMVOC profiles (VROM, 1993; Shareef et al., 1988).
Category 1A4cii describes a key source for the following components: SOx (1.4%) NOx (4.5%) NMVOC (0.9%) CO (0.7%) TSP (1.7%) PM10 (2.0%) PM2.5 (3.6%) (% of national total in 2008)
1A4ciii National fishing
Combustion emissions are based on fuel sales to cutters operating within national waters, and on fuel-specific emission factors. Since fuel sales to cutters are not recorded separately by Netherlands energy statistics (these are included in the bunker fuel sales), an estimate of fuel use is made on the basis of vessel movements. Emission factors for CO, NOx, (NM)VOC, CH4, SO2, and PM10 are derived from
national research (Hulskotte and Koch, 2000; Van der Tak, 2000). NH3 emission factors are derived from Ntziachristos
and Samaras (2000). It is assumed that all four-stroke engines use diesel oil, while all two-stroke engines use heavy fuel oil. NMVOC and PAH combustion emissions are calculated by using NMVOC profiles (VROM, 1993; Shareef et al., 1988). Category 1A4ciii describes a key source for the following components:
NOx (3.5%)
PM2.5 (1.2%)
(% of national total in 2008)
3.4 Other (1A5)
Other, stationary (including military) (1A5a)
Emissions in this category are from the combustion of waste gas at dumping sites.
Other, mobile (including military) (1A5b)
For military vessels and aircraft only emissions of CO2, N2O and
CH4 are calculated. Other compounds relating to NEC ceilings
can not be calculated, since it is unknown where fuel is used. The Ministry of Defence regards information on the location of military activity as classified.
No key sources are found in this category.
3.5 Mobile combustion (1A3)
Road transportation (1A3b)
Exhaust emissions of CO, NMVOC, NOx, NH3 and PM in these
source categories are dependent on vehicle type, fuel type, emission reduction technology, and driving behaviour. These emissions are calculated on the basis of vehicle kilometres and specific emission factors for a variation of different vehicle classes and for three different road types. The vehicle classes are defined by the vehicle category (such as passenger cars, vans, trucks), fuel type, weight class, emission legislation class and in some instances the engine type and/ or the emission reduction technology. The emission factors for passenger cars are based on a yearly vehicle emission monitoring programme by TNO (Science and Industry). The VERSIT+ model (Smit et al., 2006) is used to calculate emission factors from the emission measurement database. The specific emission factors per vehicle class are aggregated to emission factors by year of construction (in grams per vehicle kilometre). The emission factors by year of construction are published in Statline, the central database of Statistics Netherlands. The method is described in detail in Klein et al. (2009).
Traffic volume data is based on the following data by Statistics Netherlands:
The Dutch Mobility Behaviour Survey (CBS, 2009). Since 2004, this study has been conducted by the Transport Research Centre of the Directorate for Public Works and Water Management; the current Dutch name is
MobiliteitsOnderzoek Nederland. (MON)
Mileage data is compiled by the Stichting Nationale Autopas
(NAP) (Dutch national vehicle information foundation). From its database the average annual mileage (Dutch vehicles) can be derived per vehicle, according to year of construction and fuel type. The data include kilometres driven abroad.
The recent data on ownership and use of commercial vehicles have been based on the Statistiek Wegvervoer (Road Transport Survey) (CBS, 1994) combined with NAP-data. The data from 1990 to 1994 were derived from the
BedrijfsVoertuigenEnquête (Commercial vehicle survey). A survey in 1993 on the use of motorcycles in the
Netherlands (CBS, 1993). Currently, there are no plans for repeating this survey.
The characteristics of the Dutch vehicle fleet are based on CBS (1999), which in turn is based on data provided by the Dutch road traffic department (RDW). Passenger car movements by non-residents are based on the following data by Statistics Netherlands: ‘Statistics on registered overnight stays’, commuter traffic by foreign workers and number of day trips. Foreign freight transport kilometres are based on ‘Statistics on road freight transport’ and similar statistics from other EU countries provided by Eurostat.
Emissions of SO2 and heavy metals (and CO2) are dependent
on fuel consumption and fuel type. These emissions are calculated by multiplying fuel use by emission factors (gram per litre fuel consumed). The emission factors are based on the sulphur, carbon and heavy metal contents of the fuels. It is assumed that 75% of the lead is emitted as particles and 95%
of the sulphur is transformed to sulphur dioxide. The data on fuel consumption by mobile sources is collected by Statistics Netherlands.
Emissions of NMVOC components (alkanes, alkenes, aromates, such as benzene and formaldehyde, polycyclic aromatic hydrocarbons PAHs and chlorinated hydrocarbons) are calculated by multiplying the total NMVOC emission by a NMVOC speciation profile.
1A3bi Road transport, passenger cars
Category 1A3bi describes a key source for the following components: NOx (11.8%) NH3 (1.8%) NMVOC (10.2%) CO (32.0%) TSP (5.9%) PM10 (6.9%) PM2.5 (13.0%) DIOX (1.1%) PAH (4.5%) (% of national total in 2008)
1A3bii Road transport, light-duty vehicles
Category 1A3bii describes a key source for the following components: NOx (5.4%) NMVOC (0.9%) CO (1.6%) TSP (4.5%) PM10 (5.4%) PM2.5 (10.1%) PAH (1.2%) (% of national total in 2008)
1A3biii Road transport, heavy-duty vehicles
Category 1A3biii describes a key source for the following components: NOx (20.7%) NMVOC (1.9%) CO (1.8%) TSP (3.3%) PM10 (3.8%) PM2.5 (7.2%) PAH (3.1%) (% of national total in 2008)
1A3biv Road transport, mopeds and motorcycles
Category 1A3biv describes a key source for the following components: NMVOC (5.7%) CO (10.0%) DIOX (0.9%) PAH (1.9%) (% of national total in 2008)
1A3a Civil aviation
Combustion emissions – Amsterdam Airport Schiphol
Combustion emissions of CO, NMVOC, NOx, PM10, SO2
and heavy metals from aviation are calculated with the EMASA model on a yearly basis (TNO Built Environment and Geosciences). This model is derived from the widely used method of the US Environmental Protection Agency for calculating aviation emissions.
The Landing and Take-off cycle (LTO) can be divided into four LTO cycle phases: idle, take-off, climb-out and approach from 3000 feet. The four modes in the LTO cycle correspond to different power settings of the engines: idle 7%, take-off 100%, climb-out 85% and approach 30%. The equation for calculating the emissions is presented next:
emission = SUMp,m,f (LTOp,m * Np * FUELm,f * TIMp,f * EFm,f )
where:
emission = emission (kg/yr)
LTOp,m = number of LTO cycles per aircraft with jet
engine type (m) per year Np = number of engines per aircraft
Basis for estimating emissions from mobile sources
NFR code Description Fuel sold Fuel used
1A3ai(i) International Aviation (LTO) X
1A3ai(ii) International Aviation (Cruise) X
1A3aii(i) 1A3a2 Civil Aviation (Domestic, LTO) X
1A3aii(ii) 1A3a2 Civil Aviation (Domestic, Cruise) X
1A3b Road transport X
1A3c Railways X
1A3di(i) International maritime Navigation X
1A3di(ii) International inland waterways X
1A3dii National Navigation X
1A4ci Agriculture X
1A4cii Off-road Vehicles and Other Machinery X
1A4ciii National Fishing X
1A5b Other, Mobile (Including military) X
