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

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Annex 3B-11: Uncertainty estimates Uncertainty estimation, CO 2 354 Gas Base year emission Year t emission Activity data uncertainty Emission factor uncertainty Input Input Input Input data data data data Gg Gg % % % % % % % % % Road transport CO2 9351 11864 2 5 5.385 4.107 0.08105 0.8776 0.4052 2.4822 2.5151 Military CO2 119 92 2 5 5.385 0.032 -0.003326 0.0068 -0.0166 0.0192 0.0254 Railways CO2 297 218 2 5 5.385 0.076 -0.00911 0.0161 -0.0456 0.0457 0.0645 Navigation (small boats) CO2 67 140 56 5 56.223 0.506 0.004609 0.0103 0.0230 0.8196 0.8199 Navigation (large vessels) CO2 484 426 2 5 5.385 0.147 -0.009693 0.0315 -0.0485 0.0890 0.1014 Fisheries CO2 771 632 2 5 5.385 0.219 -0.018869 0.0467 -0.0943 0.1321 0.1624 Agriculture CO2 1318 1219 26 5 26.476 2.075 -0.021945 0.0902 -0.1097 3.3164 3.3182 Forestry CO2 5 4 26 5 26.476 0.008 -7.48E-05 0.0003 -0.0004 0.0122 0.0122 Industry (mobile) CO2 778 742 40 5 40.311 1.923 -0.011339 0.0549 -0.0567 3.1059 3.1064 Residential CO2 87 82 51 5 51.245 0.269 -0.001348 0.0060 -0.0067 0.4350 0.4351 Civil aviation CO2 243 138 10 5 11.180 0.099 -0.010468 0.0102 -0.0523 0.1441 0.1533 13519 15556 25.286 27.9127 Total uncertainties Overall uncertainty in the year (%): Combined uncertainty Combined uncertainty as % of total national emissions in year t Type A sensitivity Type B sensitivity Uncertainty in trend in national emissions introduced by emission factor uncertainty 5.029 Trend uncertainty (%): Uncertainty in trend in national emissions introduced by activity data uncertainty Uncertainty introduced into the trend in total national emissions 5.283
Uncertainty estimation, CH 4 Gas Base year emission Year t emission Activity data uncertainty Emission factor uncertainty Input Input Input Input data data data data Mg Mg % % % % % % % % % Road transport CH4 2620 256 2 40 40.050 33.883 0.00254181 0.9521 0.1017 2.6930 2.6949 Military CH4 5 5 2 100 100.020 0.129 -0.000392 0.0014 -0.0392 0.0041 0.0394 Railways CH4 12 9 2 100 100.020 0.245 -0.0017054 0.0028 -0.1705 0.0078 0.1707 Navigation (small boats) CH4 43 112 56 100 114.612 3.680 0.02072659 0.0361 2.0727 2.8617 3.5335 Navigation (large vessels) CH4 11 10 2 100 100.020 0.277 -0.0008662 0.0031 -0.0866 0.0088 0.0871 Fisheries CH4 18 15 2 100 100.020 0.424 -0.001932 0.0048 -0.1932 0.0135 0.1937 Agriculture CH4 103 96 26 100 103.325 2.836 -0.0065322 0.0309 -0.6532 1.1357 1.3102 Forestry CH4 11 10 26 100 103.325 0.305 -0.0006516 0.0033 -0.0652 0.1220 0.1383 Industry (mobile) CH4 136 148 40 100 107.703 4.551 -0.0018855 0.0476 -0.1885 2.6902 2.6968 Residential CH4 138 130 51 100 112.254 4.169 -0.0082102 0.0418 -0.8210 3.0144 3.1242 Civil aviation CH4 7 5 10 100 100.499 0.135 -0.0011105 0.0015 -0.1111 0.0214 0.1131 3105 3494 1208.150 38.6053 Total uncertainties Overall uncertainty in the year (%): Combined uncertainty Combined uncertainty as % of total national emissions in year t Type A sensitivity Type B sensitivity Uncertainty in trend in national emissions introduced by emission factor uncertainty 34.758 Trend uncertainty (%): Uncertainty in trend in national emissions introduced by activity data uncertainty Uncertainty introduced into the trend in total national emissions 6.213 355
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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
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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,
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
Page 325 and 326: Sector Subsector Tech FCu FCr FCh C
Page 327 and 328: Sector Subsector Tech COu COr COh N
Page 329 and 330: Sector Subsector Tech COuR COrR COh
Page 331 and 332: Annex 3B-5: Fuel use factors (MJ/km
Page 333 and 334: 2-wheelers 1999 1.195 1.264 1.578 8
Page 335 and 336: 2-wheelers 1991 6.249 4.379 2.011 6
Page 337 and 338: 2002 Heavy Duty Vehicles 37849451 8
Page 339 and 340: Annex 3B-7: COPERT III:DEA statisti
Page 341 and 342: 0808 Excavators (wheel type) 1000 1
Page 343 and 344: 0808 Forklifts 5-10 tons (diesel) 0
Page 345 and 346: 0809 Trimmers 60000 0.8 0.5 15 10 1
Page 347 and 348: 1990 80502 Air traffic. other airpo
Page 349 and 350: 2003 80403 Fishing Kerosene 731 4.6
Page 351 and 352: Year Category Mode SO2 NOx NMVOC CH
Page 353 and 354: Pollutant CRF ID Unit 1985 1986 198
Page 355: Pollutant CRF ID Unit 1985 1986 198
Page 359 and 360: Uncertainty estimation, N 2 O IPCC
Page 361 and 362: Table. Production of Lime/Hydrated
Page 363 and 364: Suckling cattle 170.2 Swine Average
Page 365 and 366: 7DEOH 'HWDLOHG LQIRUPDWLRQ UHODWHG
Page 367 and 368: 7DEOH &KDQJHV LQ VWDEOH W\SH ± Liv
Page 369 and 370: Pullet, consumption, floor (100 pcs
Page 371 and 372: Annex 3E Solid Waste Disposal on La
Page 373 and 374: B = Biological N = Nitrification (r
Page 375 and 376: Table 3E.7. Stabilisation of sludge
Page 377 and 378: in Table 3E.9. Table 3E.9 Gross emi
Page 379 and 380: 5HFRYHUHG &+ Ã HPLVVLRQV >*J@ 14.
Page 381 and 382: Annex 3F Solvents National Atmosphe
Page 383 and 384: 83 1-ethyl-2,2,6-trimethylcyclohexa
Page 385 and 386: 191 2-methoxy-2-methylpropane 192 2
Page 387 and 388: 299 acetaldehyde 300 acetic acid 30
Page 389 and 390: 407 cyclopentane 408 cyclopenta-phe
Page 391 and 392: 515 methyl naphthalenes 516 methyl
Page 393 and 394: 624 trans-3-hexene 625 trialkyl pho
Page 395 and 396: Annex 5 Assessment of completeness
Page 397 and 398: Annex 6.1 Annex 6.1. Additional inf
Page 399 and 400: Table A6.1.2 ÃÃÃÃ Kingdom DK Ã
Page 401 and 402: Table A6.1.4 ÃÃÃÃÃÃÃÃÃ Kin
Page 403 and 404: Annex 6.2 Additional information to
Page 405 and 406: 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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