- Page 1 and 2: DANISH EMISSION INVENTORIES FOR ROA
- Page 3: AU DANISH EMISSION INVENTORIES FOR
- Page 7 and 8: Preface DCE - Danish Centre for Env
- Page 9 and 10: ook. For previous years the backgro
- Page 11 and 12: Table 0.3 Emissions from other mobi
- Page 13 and 14: Sammenfatning Denne rapport dokumen
- Page 15 and 16: Tabel 0.2 Emissioner fra vejtrafik
- Page 17 and 18: Usikkerheder I 2010 er CO2-emission
- Page 19 and 20: 2 Total Danish emissions, internati
- Page 21 and 22: The LRTAP Convention is a framework
- Page 23 and 24: machinery (SNAP codes 0806 and 0807
- Page 25 and 26: Table 4.1 Model vehicle classes and
- Page 27 and 28: period. The increase is, however, m
- Page 29 and 30: procedure until the test procedure
- Page 31 and 32: Table 4.2 Overview of the existing
- Page 33 and 34: statistics and 2) fuel specific CO2
- Page 35 and 36: Table 4.3 Fuel-specific CO2 emissio
- Page 37 and 38: The cold:hot ratios depend on the a
- Page 39 and 40: DEA:NERI fuel ratio DEA:NERI fuel r
- Page 41 and 42: g pr GJ g pr km g pr km g pr GJ 100
- Page 43 and 44: g pr GJ g pr km g pr km g pr GJ 160
- Page 45 and 46: g pr km g pr GJ g pr km g pr GJ CH
- Page 47 and 48: 5 Input data and calculation method
- Page 49 and 50: No. of international LTO's No. of d
- Page 51 and 52: No. No. 30000 25000 20000 15000 100
- Page 53 and 54: 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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Ferry data: Service, name, engine y
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Continued Sjællands Odde-Ebeltoft
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Continued Kalundborg-Århus KONG FR
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Ferry data: Load factor (% MCR). Fe
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Sjællands Odde-Ebeltoft MIE MOLS 8
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Continued Kalundborg-Århus KONG FR
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Annex 13 Fuel consumption and emiss
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Continued 1995 7.49 7.86 8.72 2.34
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S-%, SO2 and PM emission factors (g
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Annex 14: Fuel sales figures from D
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- kerosene 7 2 9 5 12 26 9 5 4 3 4
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- gasoline 396 400 403 404 404 393
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Annex 15: Emission factors and tota
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2009 emission factors for CO2, CH4,
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1990 emissions for CO2, CH4, N2O, S
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2009 emissions for CO2, CH4, N2O, S
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Annex 16: Fuel consumption and emis
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Continued CH4 Civil Aviation (1A3a)
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Continued PM10 Comm./Inst. (1A4a) [
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Continued Mercury Navigation int. (
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Continued Benzo(b) flouranthene Roa
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Emissions 2000-2010 pol_name IPCC I
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Continued N2O Railways (1A3c) [tonn
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Continued Cadmium Ag./for./fish. (1
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Continued Zinc Industry-Other (1A2f
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Continued Benzo(g,h,i) perylene Nav
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Uncertainty estimation, CH4 Gas Bas
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Uncertainty estimation, SO2. Gas Ba
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Uncertainty estimation, NH3. Gas Ba
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Uncertainty estimation, Chromium. G
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Uncertainty estimation, Lead. Gas B
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Uncertainty estimation, Flouranthen
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Uncertainty estimation, Benzo(g,h,i