Denmark's National Inventory Report 2005 - Submitted under the ...

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Figure 1.1. Schematic diagram of the process of inventory preparation. 24 External data Ã Sub models Ã International guidelines Ã Central database Calculation of emission estimates Final reports • Ã ÃÃ ÃÃ ÃÃ Report for all sources and pollutants
1.4 Brief general description of methodologies and data sources used Denmark’s air emission inventories are based on the Revised 1996 Intergovernmental Panel on Climate Change (IPCC) Guidelines for National Greenhouse Gas Inventories (IPCC, 1997), the Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories (IPCC, 2000) and the CORINAIR methodology. CORINAIR (COoRdination of Information on AIR emissions) is a European air emission inventory programme for national sector-wise emission estimations harmonised with the IPCC guidelines. To ensure estimates as timely, consistent, transparent, accurate and comparable as possible, the inventory programme has developed calculation methodologies for most sub-sectors and software for storage and further data processing (Richardson, S. (Ed), 1999). A thorough description of the CORINAIR inventory programme used for Danish emission estimations is given in Illerup et al. (2000). The CORINAIR calculation principle is to calculate the emissions as activities multiplied by emission factors. Activities are numbers referring to a specific process generating emissions, while an emission factor is the mass of emissions per unit activity. Information on activities to carry out the CORINAIR inventory is mainly based on official statistics. The most consistent emission factors have been used, either as national values or default factors proposed by the CORINAIR methodology. The documentation on the CORINAIR methodology can be obtained from the “Joint EMEP/CORINAIR Atmospheric Emission Inventory Guidebook, Second edition (Richardson, S. (Ed), 1999). The documentation on the COPERT III is given in Ntziachristos et al. (2000). A list of all sub-sectors on the most detailed level is given in Illerup et al., 2000. Incorporated in the CORINAIR software is a feature to serve the specific UNFCCC and UNECE convention needs for emission reporting. The translation between CORINAIR and IPCC codes for sector classifications are listed in Illerup et al, 2000. 1.4.1 Stationary Combustion Plants Stationary combustion plants are part of the CRF emission sources 1A1 Energy Industries, 1A2 Manufacturing Industries and 1A4 Other sectors. The Danish emission inventory for stationary combustion plants is based on the CORINAIR system described in the Emission Inventory Guidebook 3 rd edition. The inventory is based on activity rates from the Danish energy statistics and on emission factors for different fuels, plants and sectors. The Danish Energy Authority aggregates fuel consumption rates in the official Danish energy statistics to SNAP categories. For each of the fuel and SNAP categories (sector and e.g. type of plant) a set of general emission factors has been determined. Some emission factors refer to the EMEP/CORINAIR Guidebook and some are country specific and refer to Danish legislation, Danish research reports or calculations based on emission data from a considerable number of plants. Some of the large plants like e.g. power plants and municipal waste incineration plants are registered individually as large point sources and emission data from the actual plants are used. This enables use of plant specific emission factors that refers to emission measurements stated in annual environmental reports etc. At present the emission factors for CO 2 , CH 4 and N 2 O are, however, not plant specific whereas emission factors of SO 2 and NO X often are. 25
Page 1 and 2: National Environmental Research Ins
Page 3 and 4: National Environmental Research Ins
Page 5 and 6: Contents Executive summary 9 ES.1.
Page 7 and 8: 4.3 Chemical industry (2B) 122 4.3.
Page 9 and 10: 8.3.6 Recalculations 209 8.3.7 Plan
Page 11 and 12: Executive summary ES.1. Background
Page 13 and 14: electricity. Also lower outdoor tem
Page 15 and 16: • The GHG emission inventories fo
Page 17 and 18: effekten af de forskellige drivhusg
Page 19 and 20: Som beskrevet i rapportens kapitel
Page 21 and 22: 1 Introduction 1.1 Background infor
Page 23 and 24: The role of the European Union The
Page 25: Table 1.1 List of current data stru
Page 29 and 30: 1A2f (Industry-other), 1A3a (Civil
Page 31 and 32: is calculated. It is found that tha
Page 33 and 34: (see the reference list at Chapter
Page 35 and 36: 1 Quality control (QC) Quality plan
Page 37 and 38: The different CCP’s are not indep
Page 39 and 40: When new data are introduced they c
Page 41 and 42: Inventory report for year 3 Invento
Page 43 and 44: The uncertainty on N 2 O from stati
Page 45 and 46: 1.8 General assessment of the compl
Page 47 and 48: 2 Trends in Greenhouse Gas Emission
Page 49 and 50: to change in traditional stable sys
Page 51 and 52: from national fishing and off-road
Page 53 and 54: 3 Energy (CRF sector 1) 3.1 Overvie
Page 55 and 56: Table 3.3 CH 4 emission from the en
Page 57 and 58: Fuel consumption time-series for st
Page 59 and 60: Degree days Fuel consumption adjust
Page 61 and 62: Table 3.7 CO 2 emission from subsec
Page 63 and 64: The CH 4 emission from stationary c
Page 65 and 66: 3.2.1.3.4 SO , NO , NMVOC and CO 2
Page 67 and 68: The fuel consumption of area source
Page 69 and 70: Table 3.12 CH 4 emission factors 19
Page 71 and 72: − Gruijthuijsen & Jensen 2000 −
Page 73 and 74: ues from Pulles & Aardenne 2001. Th
Page 75 and 76: • Disaggregation of fuel consumpt
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3.3.1.1 Fuel consumption Table 3.18
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3-@ 90 80 70 60 50 40 30 20 10 0 19
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1,4 1,2 1,0 0,8 0,6 0,4 0,2 0,0 198
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Table 3.19 Emissions of CO 2 , CH 4
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Passenger cars 56% Passenger cars 8
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WRQV@ 120 100 80 60 40 20 0 1985 19
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70000 60000 50000 40000 30000 20000
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The NO X emission trend for Agricul
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Bunkers The most important emission
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Ã Ã Ã Ã Ã Ã
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age the emissions from catalyst car
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Where S C is the soak emission, l t
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3.3.2.2 Methodologies and reference
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Table 3.26 Fuel specific emission f
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Where E = emission, FC = fuel consu
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For non-road machinery and working
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Emission factors The Danish greenho
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A comparison of the national approa
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( , 4 = = ( ; 4 + ( , 4 −2
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In the 1990-1999 inventories fugiti
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Table 3.38 Uncertainty, CRF sector
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4 Industrial processes (CRF Sector
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The time-series for emission of CO
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4.2.5 Recalculations No source spec
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4.4 Metal production (2C) 4.4.1 Sou
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Table 4.8 Consumption of HFCs in fo
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The potential emissions have been c
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cedure consisted of a check of the
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Danish Environmental Protection Age
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Table 5.1 Emission of chemicals in
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5.2.2 Methodological issues The emi
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(ii) Collection of data for quantif
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6 The emission of greenhouse gases
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Table 6.2 List of institutes involv
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NERI receives the data from differe
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approximately 6%, which nearly corr
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6.3.2 Methodological issues 6.3.2.1
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Table 6.11 Nitrogen excretion, annu
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Table 6.14 Emissions factor - N 2 O
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153
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Table 6.20 Emissions from crop resi
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Ã Ã Ã Ã Ã 80
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6.5 NMVOC emission Less than 1% of
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• This years data delivery agreem
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Husted, 1994: Waste Management, Sea
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7 The Specific methodologies regard
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In 1990, the forested area with tre
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inventory will be quite similar to
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Table 7.4 Data on gross uptake of C
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place during the first 30 years fol
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7.2.5 Recalculations Since the subm
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Table 7.8 Agricultural areas in Den
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7.3.2.1 Emission from mineral soils
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Table 7.17 C-emission from organic
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Table 7.19 Area classification of t
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The LULUCF sector contributes to a
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Schöne, D. and Schulte, A. (1999).
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Table A2.3 ÃÃÃÃÃÃÃÃÃÃ
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As a result the sectoral total in C
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Since, the Danish SWDSs are well-ma
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Table 8.8. Amounts of waste and CH
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Combustible” and “Other not Com
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which disaggregation level that can
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tion, technical upgrades of the WWT
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assuming that the treatment is 100%
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intermediate of both processes. Dan
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Table 8.19. Uncertainties for main
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In general country-specific TOW val
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Danish Environmental Protection Age
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9 Other (CRF sector 7) Chapter 9 is
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Table 10.1 Recalculation performed
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Table 10.2. Recalculation performed
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For the Industrial Sector uncertain
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Annex 1 Key source analyses Descrip
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7KH UHVXOW RI WKH NH\ VRXUFH DQDO\V
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7DEOHV $ ± $ RI WKH *RRG 3UDFWLFH
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Table 3. Key source analysis 1990-2
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Annex 3 Other detailed methodologic
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1 Introduction The Danish atmospher
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Stationary combustion plants are in
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Emissions from non-energy use of fu
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Coke oven coke The emission factor
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Kerosene The emission factor 72 kg/
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Illerup 2003. The estimated emissio
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The emission factor for CHP plants
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− Fuel consumption for transport.
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tricity trade, fuel consumption and
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Figure 3A-6 depicts the time-series
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1A4a Commercial / Institutional 2%
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CO 2 [Tg] 60 50 40 30 20 10 0 1990
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Other stationary combustion plants
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1A4a Commercial / Institutional 2%
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only accounted for a small portion
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Electricity and heat production is
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The use of wood in residential boil
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straw consumption in residential pl
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• The IPCC reference approach val
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Table 3A-21 Key sources, stationary
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emission are N 2 O emission (all pl
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enewable fuels has increased. The D
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Jørgensen, L. & Johansen, L. P. 20
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Appendix 3A-1 The Danish emission i
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030203 Blast furnace cowpers 1A2a 0
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Table 3A-28 Detailed fuel consumpti
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1A2f 118 SEWAGE SLUDGE 030311 40162
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Appendix 3A-4 Emission factors Tabl
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Table 3A-33 N 2 O emission factors
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7. Bjerrum M., 2002. Danish Technol
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NOX NATURAL GAS 010105 1A1a 276 241
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019 Enstedvaerket 04 010101 204 GAS
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Table 3A-39 Large point sources, pl
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Appendix 3A-6 Uncertainty estimates
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Table 3A-42 Uncertainty estimation,
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Table 3A-47 Uncertainty estimation,
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Table 3A-49 Fuel category correspon
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Appendix 3A-9 Reference approach Ã
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Table 3A-51 Fuel category correspon
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20201 - - - - - - - - - - - - - - -
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Passenger Cars Diesel >2.0 l Euro I
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Passenger Cars Gasoline 2.0 l Euro
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Buses Urban Buses Conventional 0 19
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Sector Subsector Tech FYear LYear 1
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Sector Subsector Tech FCu FCr FCh C
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Sector Subsector Tech COu COr COh N
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Sector Subsector Tech COuR COrR COh
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Annex 3B-5: Fuel use factors (MJ/km
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2-wheelers 1999 1.195 1.264 1.578 8
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2-wheelers 1991 6.249 4.379 2.011 6
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2002 Heavy Duty Vehicles 37849451 8
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Annex 3B-7: COPERT III:DEA statisti
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0808 Excavators (wheel type) 1000 1
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0808 Forklifts 5-10 tons (diesel) 0
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0809 Trimmers 60000 0.8 0.5 15 10 1
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1990 80502 Air traffic. other airpo
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2003 80403 Fishing Kerosene 731 4.6
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Year Category Mode SO2 NOx NMVOC CH
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Pollutant CRF ID Unit 1985 1986 198
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Pollutant CRF ID Unit 1985 1986 198
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Uncertainty estimation, CH 4 Gas Ba
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Uncertainty estimation, N 2 O IPCC
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Table. Production of Lime/Hydrated
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Suckling cattle 170.2 Swine Average
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7DEOH 'HWDLOHG LQIRUPDWLRQ UHODWHG
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7DEOH &KDQJHV LQ VWDEOH W\SH ± Liv
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Pullet, consumption, floor (100 pcs
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Annex 3E Solid Waste Disposal on La
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B = Biological N = Nitrification (r
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Table 3E.7. Stabilisation of sludge
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in Table 3E.9. Table 3E.9 Gross emi
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5HFRYHUHG &+ Ã HPLVVLRQV >*J@ 14.
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Annex 3F Solvents National Atmosphe
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83 1-ethyl-2,2,6-trimethylcyclohexa
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191 2-methoxy-2-methylpropane 192 2
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299 acetaldehyde 300 acetic acid 30
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407 cyclopentane 408 cyclopenta-phe
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515 methyl naphthalenes 516 methyl
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624 trans-3-hexene 625 trialkyl pho
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Annex 5 Assessment of completeness
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Annex 6.1 Annex 6.1. Additional inf
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Table A6.1.2 ÃÃÃÃ Kingdom DK Ã
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Table A6.1.4 ÃÃÃÃÃÃÃÃÃ Kin
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Annex 6.2 Additional information to
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Annex 7 Table 6.1 and 6.2 of the IP
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Annex 8 Other annexes - (Any other
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PM 2.2: An explicit description in
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Correctness The data at level 3 has
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Level 6 Transparency The background
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Table A9.1 ÃÃÃÃ Denmark ÃÃÃ
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Table A9.3 ÃÃÃÃ Denmark ÃÃÃ
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