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

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with the Danish national approach are provided in Appendix 3A-10. The appendix also includes a correspondence list for the fuel categories (Danish Energy Authority/IPCC reference approach). A comparison of the national approach and the reference approach is illustrated in Figure 3A-31. % 268 2,00 1,50 1,00 0,50 0,00 -0,50 -1,00 -1,50 -2,00 1990 1991 1992 1993 1994 1995 1996 1997 Difference Energy consumption [%] Difference CO2 emission [%] Figure 3A-31 Comparison of the reference approach and the national approach. 6.2 External review 1998 1999 The first national external review of the annually updated sector report for stationary combustion was performed in 2004 by Jan Erik Johnsson, Technology University of Denmark. The review was performed after the reporting in 2004 and thus the improvements of emission factors suggested by Jan Erik Johnsson have been included the inventory presented in this report. National review of the data reported to the Climate Convention will be performed after the reporting of emission data. 6.3 Key source analysis As part of the reportings for the Climate Convention a key source analysis for the Danish emission inventory has been performed. A key source has a significant influence on a country’s total inventory of greenhouse gases in terms of the absolute level of emission, the trend in emissions, or both. Stationary combustion key sources for greenhouse gases are shown in Table 3A-21. The CO 2 emission from eight different fuels is key source in the Danish inventory. Furthermore, CH 4 emission is a trend key source due to the increased electricity production based on gas engines. The key source analysis will be considered in the future QC for stationary combustion. 2000 2001 2002 2003
Table 3A-21 Key sources, stationary combustion Ã CO2 Emission from stationary Combustion Coal CO2 Yes Level, Trend CO2 Emission from stationary Combustion Petroleum coke CO2 Yes Level, Trend CO2 Emission from stationary Combustion Plastic waste CO2 Yes Level, Trend CO2 Emission from stationary Combustion Residual oil CO2 Yes Level, Trend CO2 Emission from stationary Combustion Gas oil CO2 Yes Level, Trend CO2 Emission from stationary Combustion Kerosene CO2 Yes Trend CO2 Emission from stationary Combustion Natural gas CO2 Yes Level, Trend CO2 Emission from stationary Combustion Refinery gas CO2 Yes Level Non-CO2 Emission from stationary Combustion CH4 Yes Trend 7 Uncertainty According to the IPCC Good Practice Guidance (IPCC 2000) uncertainty estimates should be included in the annual National Inventory Report. Uncertainty estimates include uncertainty with regard to the total emission inventory as well as uncertainty with regard to trends. The GHG emission from stationary combustion plants has been estimated with an uncertainty interval of ±11% and the increase in the GHG emission since 1990 has been estimated to be 11,1% ± 1,7 %-agepoints. 7.1 Methodology The Danish uncertainty estimates for GHGs are based on a methodology included in IPCC Good Practice Guidance (IPCC 2000). The estimates are based on uncertainties for emission factors and fuel consumption rates, respectively. The input data required for the uncertainty calculations are: • Emission data for the base year and the last year • Uncertainty for activity rates • Uncertainty for emission factors 7.1.1 Greenhouse gases The Danish uncertainty estimates for GHGs are based on the tier 1 approach in IPCC Good Practice Guidance (IPCC 2000). The uncertainty levels have been estimated for the following emission source subcategories within stationary combustion: • CO 2 emission from each of the applied fuel categories • CH 4 emission from gas engines • CH 4 emission from all other stationary combustion plants • N 2 O emission from all stationary combustion plants The separate uncertainty estimation for gas engine CH 4 emission and CH 4 emission from other plants does not follow the recommendations in the IPCC Good Practice Guidance. Disaggregation is applied, because in Denmark the CH 4 emission from gas engines is much larger than the emission from other stationary combustion plants, and the CH 4 emission factor for gas engines is estimated with a much smaller uncertainty level than for other stationary combustion plants. 269
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National Environmental Research Ins
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National Environmental Research Ins
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Contents Executive summary 9 ES.1.
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4.3 Chemical industry (2B) 122 4.3.
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8.3.6 Recalculations 209 8.3.7 Plan
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Executive summary ES.1. Background
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electricity. Also lower outdoor tem
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• The GHG emission inventories fo
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effekten af de forskellige drivhusg
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Som beskrevet i rapportens kapitel
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1 Introduction 1.1 Background infor
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The role of the European Union The
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Table 1.1 List of current data stru
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1.4 Brief general description of me
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1A2f (Industry-other), 1A3a (Civil
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is calculated. It is found that tha
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(see the reference list at Chapter
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1 Quality control (QC) Quality plan
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The different CCP’s are not indep
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When new data are introduced they c
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Inventory report for year 3 Invento
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The uncertainty on N 2 O from stati
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1.8 General assessment of the compl
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2 Trends in Greenhouse Gas Emission
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to change in traditional stable sys
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from national fishing and off-road
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3 Energy (CRF sector 1) 3.1 Overvie
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Table 3.3 CH 4 emission from the en
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Fuel consumption time-series for st
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Degree days Fuel consumption adjust
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Table 3.7 CO 2 emission from subsec
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The CH 4 emission from stationary c
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3.2.1.3.4 SO , NO , NMVOC and CO 2
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The fuel consumption of area source
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Table 3.12 CH 4 emission factors 19
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− Gruijthuijsen & Jensen 2000 −
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ues from Pulles & Aardenne 2001. Th
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• 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
Page 219 and 220: Table 10.2. Recalculation performed
Page 221 and 222: For the Industrial Sector uncertain
Page 223 and 224: Annex 1 Key source analyses Descrip
Page 225 and 226: 7KH UHVXOW RI WKH NH\ VRXUFH DQDO\V
Page 227 and 228: 7DEOHV $ ± $ RI WKH *RRG 3UDFWLFH
Page 229 and 230: Table 3. Key source analysis 1990-2
Page 231 and 232: Annex 3 Other detailed methodologic
Page 233 and 234: 1 Introduction The Danish atmospher
Page 235 and 236: Stationary combustion plants are in
Page 237 and 238: Emissions from non-energy use of fu
Page 239 and 240: Coke oven coke The emission factor
Page 241 and 242: Kerosene The emission factor 72 kg/
Page 243 and 244: Illerup 2003. The estimated emissio
Page 245 and 246: The emission factor for CHP plants
Page 247 and 248: − Fuel consumption for transport.
Page 249 and 250: tricity trade, fuel consumption and
Page 251 and 252: Figure 3A-6 depicts the time-series
Page 253 and 254: 1A4a Commercial / Institutional 2%
Page 255 and 256: CO 2 [Tg] 60 50 40 30 20 10 0 1990
Page 257 and 258: Other stationary combustion plants
Page 259 and 260: 1A4a Commercial / Institutional 2%
Page 261 and 262: only accounted for a small portion
Page 263 and 264: Electricity and heat production is
Page 265 and 266: The use of wood in residential boil
Page 267 and 268: straw consumption in residential pl
Page 269: • The IPCC reference approach val
Page 273 and 274: emission are N 2 O emission (all pl
Page 275 and 276: enewable fuels has increased. The D
Page 277 and 278: Jørgensen, L. & Johansen, L. P. 20
Page 279 and 280: Appendix 3A-1 The Danish emission i
Page 281 and 282: 030203 Blast furnace cowpers 1A2a 0
Page 283 and 284: Table 3A-28 Detailed fuel consumpti
Page 285 and 286: 1A2f 118 SEWAGE SLUDGE 030311 40162
Page 287 and 288: Appendix 3A-4 Emission factors Tabl
Page 289 and 290: Table 3A-33 N 2 O emission factors
Page 291 and 292: 7. Bjerrum M., 2002. Danish Technol
Page 293 and 294: NOX NATURAL GAS 010105 1A1a 276 241
Page 295 and 296: 019 Enstedvaerket 04 010101 204 GAS
Page 297 and 298: Table 3A-39 Large point sources, pl
Page 299 and 300: Appendix 3A-6 Uncertainty estimates
Page 301 and 302: Table 3A-42 Uncertainty estimation,
Page 303 and 304: Table 3A-47 Uncertainty estimation,
Page 305 and 306: Table 3A-49 Fuel category correspon
Page 307 and 308: Appendix 3A-9 Reference approach Ã
Page 309 and 310: Table 3A-51 Fuel category correspon
Page 311 and 312: 20201 - - - - - - - - - - - - - - -
Page 313 and 314: Passenger Cars Diesel >2.0 l Euro I
Page 315 and 316: Passenger Cars Gasoline 2.0 l Euro
Page 317 and 318: Buses Urban Buses Conventional 0 19
Page 319 and 320: Sector Subsector Tech FYear LYear 1
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Sector Subsector Tech FYear LYear 1
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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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