270 Annex 17: Uncertainty estimates Uncertainty estimation, CO2 Gas Base year emission Input data Year t emission Input data Activity data uncertainty Input data Emission factor uncertainty Input data 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 Uncertainty in trend in national emissions introduced by activity data uncertainty Uncertainty introduced into the trend in total national emissions Gg Gg % % % % % % % % % Road transport CO2 9282 12108 2 5 5,385 3,990 0,06894462 0,8911 0,3447 2,5205 2,5440 Military CO2 119 107 2 5 5,385 0,035 -0,0026576 0,0079 -0,0133 0,0223 0,0259 Railways CO2 297 242 2 5 5,385 0,080 -0,0084443 0,0178 -0,0422 0,0504 0,0658 Navigation (small boats) CO2 48 99 41 5 41,304 0,251 0,00307343 0,0073 0,0154 0,4242 0,4245 Navigation (large vessels) CO2 748 494 11 5 12,083 0,365 -0,0298481 0,0363 -0,1492 0,5653 0,5847 Fisheries CO2 591 575 2 5 5,385 0,189 -0,0099746 0,0423 -0,0499 0,1197 0,1296 Agriculture CO2 1272 1273 24 5 24,515 1,910 -0,0189445 0,0937 -0,0947 3,1800 3,1814 Forestry CO2 36 17 30 5 30,414 0,032 -0,0019086 0,0013 -0,0095 0,0530 0,0539 Industry (mobile) CO2 839 1037 41 5 41,304 2,620 0,00199985 0,0763 0,0100 4,4243 4,4243 Residential CO2 39 63 35 5 35,355 0,136 0,00116245 0,0046 0,0058 0,2287 0,2288 Commercial/Institutional CO2 74 173 35 5 35,355 0,374 0,00619781 0,0127 0,0310 0,6298 0,6306 Civil aviation CO2 243 156 10 5 11,180 0,106 -0,0100308 0,0115 -0,0502 0,1620 0,1696 Total 13.587 16343 26,699 36,7952 Total uncertainties Year (%): 5,167 Trend (%): 6,066
Uncertainty estimation, CH4 Gas Base year emission Input data Year t emission Input data Activity data uncertainty Input data Emission factor uncertainty Input data 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 Uncertainty in trend in national emissions introduced by activity data uncertainty Uncertainty introduced into the trend in total national emissions Mg Mg % % % % % % % % % Road transport CH4 2518 644 2 40 40,050 24,121 -0,0939264 0,2203 -3,7571 0,6230 3,8084 Military CH4 5 4 2 100 100,020 0,328 0,00055275 0,0012 0,0553 0,0034 0,0554 Railways CH4 12 7 2 100 100,020 0,680 0,00094452 0,0025 0,0945 0,0070 0,0947 Navigation (small boats) CH4 17 24 41 100 108,079 2,454 0,00623542 0,0083 0,6235 0,4815 0,7878 Navigation (large vessels) CH4 16 11 11 100 100,603 1,046 0,00181933 0,0038 0,1819 0,0592 0,1913 Fisheries CH4 13 14 2 100 100,020 1,290 0,00308187 0,0047 0,3082 0,0133 0,3085 Agriculture CH4 105 96 24 100 102,840 9,237 0,0197364 0,0329 1,9736 1,1150 2,2668 Forestry CH4 21 3 30 100 104,403 0,293 -0,0016 0,0010 -0,1600 0,0436 0,1658 Industry (mobile) CH4 60 37 41 100 108,079 3,784 0,00533736 0,0128 0,5337 0,7425 0,9145 Residential CH4 51 65 35 100 105,948 6,464 0,01593453 0,0223 1,5935 1,1044 1,9388 Commercial/Institutional CH4 99 160 35 100 105,948 15,811 0,04220095 0,0546 4,2201 2,7016 5,0108 Civil aviation CH4 7 4 10 100 100,499 0,377 0,00046654 0,0014 0,0467 0,0194 0,0505 Total 2923 1069 732,838 25,0317 Total uncertainties Year (%): 27,071 Trend (%): 5,003 271
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DANISH EMISSION INVENTORIES FOR ROA
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AU DANISH EMISSION INVENTORIES FOR
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Contents Preface 5 Summary 6 Method
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Preface DCE - Danish Centre for Env
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ook. For previous years the backgro
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Table 0.3 Emissions from other mobi
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Sammenfatning Denne rapport dokumen
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Tabel 0.2 Emissioner fra vejtrafik
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Usikkerheder I 2010 er CO2-emission
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2 Total Danish emissions, internati
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The LRTAP Convention is a framework
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machinery (SNAP codes 0806 and 0807
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Table 4.1 Model vehicle classes and
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period. The increase is, however, m
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procedure until the test procedure
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Table 4.2 Overview of the existing
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statistics and 2) fuel specific CO2
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Table 4.3 Fuel-specific CO2 emissio
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The cold:hot ratios depend on the a
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DEA:NERI fuel ratio DEA:NERI fuel r
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g pr GJ g pr km g pr km g pr GJ 100
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g pr GJ g pr km g pr km g pr GJ 160
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g pr km g pr GJ g pr km g pr GJ CH
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5 Input data and calculation method
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No. of international LTO's No. of d
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No. No. 30000 25000 20000 15000 100
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No. No. [No] Construction machinery
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100% 90% 80% 70% 60% 50% 40% 30% 20
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No. X 10 3 Table 5.9 Continued No.
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Table 5.1 Domestic ferry routes com
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For the remaining part of the traff
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Table 5.3 Overview of the EU Emissi
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Table 5.6 Current certification lim
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Table 5.8 Current legislation in re
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Table 5.9 Fuel-specific emission fa
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If the great circle distance, y, is
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Where EEvap,fueling, = hydrocarbon
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numbers for some statistical years
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6 Fuel consumption and emissions Ta
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PJ PJ 90 80 70 60 50 40 30 20 10 0
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PJ PJ PJ 3 2,5 2 1,5 1 0,5 0 1985 1
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PJ 45 40 35 30 25 20 15 10 5 0 1985
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Tonnes 350 300 250 200 150 100 50 0
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Tonnes 60 50 40 30 20 10 0 1990 199
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Tonnes emission-efficient EURO II,
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Tonnes 3000 2500 2000 1500 1000 500
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Tonnes trend in diesel fuel consump
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Tonnes Tonnes 3000,0 2500,0 2000,0
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the highest emissions in 2010, foll
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Cadmium (Cd) Cadmium (Cd) Chromium
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Tonnes Tonnes 250000 200000 150000
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Dioxin Dioxin Flouranthene Passenge
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Tonnes [kTonnes (CRF format). In An
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Table 7.2 Tier 2 Uncertainty factor
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8 Future improvements Some improvem
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IPCC, 2000: Good Practice Guidance
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Wismann, T. 2001: Energiforbrug og
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Annex1: Fleet data 1985-2010 for ro
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Continued Heavy Duty Vehicles Diese
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Continued Buses Diesel Urban Buses
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Continued Passenger Cars Diesel >2,
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Continued Heavy Duty Vehicles Diese
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Continued Motorcycles 4-stroke >750
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Continued Passenger Cars Diesel >2,
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Continued Heavy Duty Vehicles Diese
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Motorcycles 4-stroke 250 - 750 cm³
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Continued Heavy Duty Vehicles Diese
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Continued Buses Diesel Urban Buses
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Annex 3: EU directive emission limi
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Annex 4: Basis emission factors (g
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Continued Heavy Duty Vehicles Diese
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Continued Buses Diesel Urban Buses
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Continued Passenger Cars Diesel 2,0
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Continued Heavy Duty Vehicles Diese
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Continued Motorcycles 4-stroke 250
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Continued Passenger Cars Diesel >2,
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Continued Heavy Duty Veh. Diesel RT
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Continued Motorcycles 4-stroke 250
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Continued Passenger Cars Diesel >2,
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Continued Light Duty Vehicles 1992
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Continued Mopeds 1986 1,095 1,095 8
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Continued Passenger Cars 2004 0,871
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Continued Buses 2000 0,867 0,647 0,
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Annex 8: Fuel consumption (GJ) and
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Continued Heavy Duty Vehicles 2002
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Continued Motorcycles 1996 0,6 1 93
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Annex 9: COPERT IV:DEA statistics f
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ASJ Shorts 360 300 L2T DA30 RJ 100
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LTO no. per representative aircraft
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Domestic Other airports Reims F406
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No. of flights per representative a
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LTO fuel consumption and emission f
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Other airports Dash8 400 78,842 3,4
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2010 Copenhagen International Beech
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2010 Other Airports International S
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Basis factors for 4-stroke gasoline
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Fuel consumption and emission facto
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Deterioration factors for gasoline
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Operational data for construction m
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Stock data for diesel tractors 1985
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37 Stage II 23 53 162 324 330 340 3
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Stock data for harvesters 1985-2010
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Continued 90
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Stock data for fork lifts 1985-2010
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Stock data for construction machine
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Continued Wheel loaders (0-5 tonnes
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Stock data for machine pools 1985-2
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Continued 0809 Trimmers (private) S
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Continued 0811 Lawn movers (profess
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Engine sizes (kW) for recreational
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- Page 243 and 244: - gasoline 396 400 403 404 404 393
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- Page 265 and 266: Continued N2O Railways (1A3c) [tonn
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- Page 269 and 270: Continued Zinc Industry-Other (1A2f
- Page 271: Continued Benzo(g,h,i) perylene Nav
- Page 275 and 276: Uncertainty estimation, SO2. Gas Ba
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