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

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*J SU \HDU Figure 5.1 Emissions of chemicals in Gg pr year. The methodological approach for finding emissions in the period 1995 – 2003 is described in the text, and a linear extrapolation is made for 1985 – 1995. Figures can be seen in Table 5.1 Table 5.4 Chemicals with highest emissions 2003 Chemical Emissions 2003 Emissions-factors (estimated from SFT, 1994) (%) (1000 tonnes) Consumption Production processes Propane 30,8 45 5 Butane 15,3 45 5 Turpentine 5,93 45 5 Aminooxygengroups 2,83 50 5 Methanol 1,99 5 1 Glycerol 1,64 10 5 Acetone 1,52 90 5 Etheralkoholes 1,47 60 5 Ethanol 0,910 7,5 1 Formaldehyde 0,788 5 1 Phenol 0,650 25 5 Naphthalene 0,563 5 1 Ethandiol 0,530 25 5 Monobutylether 0,301 95 5 Cyanates 0,268 50 5 Propylalcohol 0,246 10 5 Tetrachlorethylene 0,236 80 5 1-butanole 0,224 25 5 Propylenglycol 0,215 10 1 Xylene 0,194 5 1 Butanone 0,160 80 5 Toluendiisocyanate 0,153 5 1 Toluen 0,072 5 1 Dioctylphthalate 0,067 5 1 Acyclic monoamines 0,040 50 5 Butanoles 0,036 25 5 Methylbromide 0,032 80 5 Diethylenglycol 0,014 25 5 Triethylamine 0,011 50 5 Diamines 0,002 80 5 134 140 120 100 80 60 40 20 0 1985 (PLVVLRQ RI FKHPLFDOV 1987 1989 1991 1993 1995 1997 1999 2001 2003 Other Chemical products, manufacturing and processing Degreasing and dry cleaning Paint application
5.2.2 Methodological issues The emissions of Non-Methane Volatile Organic Carbon (NMVOC) from industrial use and production processes and household use in Denmark have been assessed. Until now the NMVOC inventory in Denmark has been based on questionnaires and interviews with different industries, regarding emissions from specific activities, such as lacquering, painting impregnation etc. However, this approach implies large uncertainties due to the diverse nature of many solvent-using processes. For example, it is inaccurate to use emission factors derived from one printworks in an analogue printworks, since the type and combination of inks may vary considerably. Furthermore the employment of abatement techniques will result in loss of validity of estimated emission factors. A new approach has been introduced, focusing on single chemicals instead of activities. This will lead to a clearer picture of the influence from each specific chemical, which will enable a more detailed differentiation on products and the influence of product use on emissions. The procedure is to quantify the use of the chemicals and estimate the fraction of the chemicals that is emitted as a consequence of use. Mass balances are simple and functional methods for calculating the use and emissions of chemicals XVH = SURGXFWLRQ + LPSRUW H[SRUW GHVWUXFWLRQ GLVSRVDO KROG XS (Eq.1) HPLVVLRQ = XVH HPLVVLRQ IDFWRU (Eq.2) where “hold up” is the difference in the amount in stock in the beginning and at the end of the year of inventory. A mass balance can be made for single substances or groups of substances, and the total amount of emitted chemical is obtained by summing up the individual contributions. It is important to perform an in-depth investigation in order to include all relevant emissions from the large amount of chemicals. The method for a single chemical approach is shown in Figure 5.2. air product Figure 5.2 Methodological flow in a chemical based emission inventory. The tasks in a chemical focused approach are 1) Definition of chemicals to be included chemical product activity activity activity activity activity soil water waste etc...... etc...... activity 135
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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
Page 85 and 86: Passenger cars 56% Passenger cars 8
Page 87 and 88: WRQV@ 120 100 80 60 40 20 0 1985 19
Page 89 and 90: 70000 60000 50000 40000 30000 20000
Page 91 and 92: The NO X emission trend for Agricul
Page 93 and 94: Bunkers The most important emission
Page 95 and 96: Ã Ã Ã Ã Ã Ã
Page 97 and 98: age the emissions from catalyst car
Page 99 and 100: Where S C is the soak emission, l t
Page 101 and 102: 3.3.2.2 Methodologies and reference
Page 103 and 104: Table 3.26 Fuel specific emission f
Page 105 and 106: Where E = emission, FC = fuel consu
Page 107 and 108: For non-road machinery and working
Page 109 and 110: Emission factors The Danish greenho
Page 111 and 112: A comparison of the national approa
Page 113 and 114: ( , 4 = = ( ; 4 + ( , 4 −2
Page 115 and 116: In the 1990-1999 inventories fugiti
Page 117 and 118: Table 3.38 Uncertainty, CRF sector
Page 119 and 120: 4 Industrial processes (CRF Sector
Page 121 and 122: The time-series for emission of CO
Page 123 and 124: 4.2.5 Recalculations No source spec
Page 125 and 126: 4.4 Metal production (2C) 4.4.1 Sou
Page 127 and 128: Table 4.8 Consumption of HFCs in fo
Page 129 and 130: The potential emissions have been c
Page 131 and 132: cedure consisted of a check of the
Page 133 and 134: Danish Environmental Protection Age
Page 135: Table 5.1 Emission of chemicals in
Page 139 and 140: (ii) Collection of data for quantif
Page 141 and 142: 6 The emission of greenhouse gases
Page 143 and 144: Table 6.2 List of institutes involv
Page 145 and 146: NERI receives the data from differe
Page 147 and 148: approximately 6%, which nearly corr
Page 149 and 150: 6.3.2 Methodological issues 6.3.2.1
Page 151 and 152: Table 6.11 Nitrogen excretion, annu
Page 153 and 154: Table 6.14 Emissions factor - N 2 O
Page 155 and 156: 153
Page 157 and 158: Table 6.20 Emissions from crop resi
Page 159 and 160: Ã Ã Ã Ã Ã 80
Page 161 and 162: 6.5 NMVOC emission Less than 1% of
Page 163 and 164: • This years data delivery agreem
Page 165 and 166: Husted, 1994: Waste Management, Sea
Page 167 and 168: 7 The Specific methodologies regard
Page 169 and 170: In 1990, the forested area with tre
Page 171 and 172: inventory will be quite similar to
Page 173 and 174: Table 7.4 Data on gross uptake of C
Page 175 and 176: place during the first 30 years fol
Page 177 and 178: 7.2.5 Recalculations Since the subm
Page 179 and 180: Table 7.8 Agricultural areas in Den
Page 181 and 182: 7.3.2.1 Emission from mineral soils
Page 183 and 184: Table 7.17 C-emission from organic
Page 185 and 186: 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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