Annual Danish informative inventory report to UNECE. Emission ...

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��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã 010104 2.5 2.5 1.56 010200 010203 14 10 6.3 2.5 2.2 1.9 1.56 1.56 1.56 1.56 1A2 Industry 030100 030102 2.2 1.9 1.56 1A4a Commercial/ Institutional 020100 14 2.5 2.2 1.9 1.56 1.56 020103 14 10 6.3 2.5 2.2 1.9 1.56 1.56 1.56 1.56 Cu SOLID COAL 1A1a Electricity and heat production 010100 010101 1 0.92 0.84 0.76 0.68 0.6 0.56 0.52 0.48 0.48 010102 1 0.92 0.84 0.76 0.68 0.6 0.56 0.52 0.48 0.48 010103 010104 010200 010202 010203 1 0.92 0.84 0.76 0.68 0.6 0.52 0.48 WASTE MUNICIP. WASTES 1A1a Electricity and heat production 010100 010102 10.1 10.1 10.1 10.1 7.2 4.2 1.3 1.3 1.3 1.3 010103 10.1 10.1 10.1 10.1 7.2 4.2 1.3 1.3 1.3 1.3 010104 10.1 10.1 1.3 010200 010203 18 16 13 10.1 7.2 4.2 1.3 1.3 1.3 1.3 1A2 Industry 030100 030102 7.2 4.2 1.3 1A4a Commercial/ Institutional 020100 18 10.1 7.2 4.2 1.3 1.3 020103 18 16 13 10.1 7.2 4.2 1.3 1.3 1.3 1.3 Hg SOLID COAL 1A1a Electricity and heat production 010100 010101 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 010102 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 010103 010104 010200 010202 010203 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 WASTE MUNICIP. WASTES 1A1a Electricity and heat production 010100 010102 7.4 7.4 7.4 7.4 5.5 3.7 1.79 1.79 1.79 1.79 010103 7.4 7.4 7.4 7.4 5.5 3.7 1.79 1.79 1.79 1.79 010104 7.4 7.4 1.79 010200 010203 27 20 14 7.4 5.5 3.7 1.79 1.79 1.79 1.79 1A2 Industry 030100 030102 5.5 3.7 1.79 1A4a Commercial/ Institutional 020100 27 7.4 5.5 3.7 1.79 1.79 020103 27 20 14 7.4 5.5 3.7 1.79 1.79 1.79 1.79 Ni SOLID COAL 1A1a Electricity and heat production 010101 4.4 3.8 3.2 2.5 1.9 1.3 1.2 1.1 0.97 0.97 010102 4.4 3.8 3.2 2.5 1.9 1.3 1.2 1.1 0.97 0.97 010103 010104 374
��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã 010203 4.4 3.8 3.2 2.5 1.9 1.3 1.1 0.97 WASTE MUNICIP. WASTES 1A1a Electricity and heat production 010100 010102 4.8 4.8 4.8 4.8 3.9 3 2.06 2.06 2.06 2.06 010103 4.8 4.8 4.8 4.8 3.9 3 2.06 2.06 2.06 2.06 010104 4.8 4.8 2.06 010200 010203 24 17 11 4.8 3.9 3 2.06 2.06 2.06 2.06 1A2 Industry 030100 030102 3.9 3 2.06 1A4a Commercial/ Institutional 020100 24 4.8 3.9 3 2.06 2.06 020103 24 17 11 4.8 3.9 3 2.06 2.06 2.06 2.06 Pb SOLID COAL 1A1a Electricity and heat production 010101 1.6 1.5 1.4 1.2 1.1 1 0.87 0.75 0.62 0.62 010102 1.6 1.5 1.4 1.2 1.1 1 0.87 0.75 0.62 0.62 010103 010104 010203 1.6 1.5 1.4 1.2 1.1 1 0.75 0.62 WASTE MUNICIP. WASTES 1A1a Electricity and heat production 010100 010102 123 123 123 123 84 45 5.52 5.52 5.52 5.52 010103 123 123 123 123 84 45 5.52 5.52 5.52 5.52 010104 123 123 5.52 010200 010203 129 127 125 123 84 45 5.52 5.52 5.52 5.52 1A2 Industry 030100 030102 84 45 5.52 1A4a Commercial/ Institutional 020100 129 123 84 45 5.52 5.52 020103 129 127 125 123 84 45 5.52 5.52 5.52 5.52 Se SOLID COAL 1A1a Electricity and heat production 010100 010101 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 010102 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 010103 010104 010200 010202 010203 5.9 5.9 5.9 5.9 5.9 5.9 5.9 5.9 WASTE MUNICIP. WASTES 1A1a Electricity and heat production 010102 25 25 25 25 17 9.1 1.11 1.11 1.11 1.11 010103 25 25 25 25 17 9.1 1.11 1.11 1.11 1.11 010104 25 25 1.11 010203 25 25 25 25 17 9.1 1.11 1.11 1.11 1.11 1A2 Industry 030102 17 9.1 1.11 1A4a Commercial/ Institutional 020100 25 25 17 9.1 1.11 1.11 020103 25 25 25 25 17 9.1 1.11 1.11 1.11 1.11 Zn SOLID COAL 1A1a Electricity and heat production 010100 010101 7.7 6.6 5.5 4.4 3.2 2.1 2.03 1.97 1.9 1.9 010102 7.7 6.6 5.5 4.4 3.2 2.1 2.03 1.97 1.9 1.9 010103 010104 010200 375
Page 1 and 2:
ANNUAL DANISH INfORMATIVE INVENTORY
Page 3 and 4:
AU ANNUAL DANISH INfORMATIVE INVENT
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&RQWHQWV 6XPPDU\ , %DFNJURXQG LQIRU
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Annex 2A-11 QA/QC for stationary co
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8 ,, 7UHQGV LQ HPLVVLRQV $FLGLI\LQJ
Page 12 and 13:
10 reduced emissions is mainly incr
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12 Danish energy statistics have, f
Page 16 and 17:
14 ,QGXVWULDO SURFHVVHV Recalculati
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16 ,, 8GYLNOLQJHQ L HPLVVLRQHU )RUV
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18 kilde til emission af kobber er
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20 6¡IDUW Brændselsforbrug for sk
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22 en stigning i NH3 emissionen for
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24 UNECE-LRTAP Convention of the An
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26 Table 1.1 List of current data s
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28 A list of all subsectors at the
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30 )XJLWLYH HPLVVLRQV IURP QDWXUDO
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32 Please refer to Chapter 5 for fu
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34 Table 1.2 Danish uncertainty est
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36 NR is used for pollutants prior
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38 ��Ã�� Acid-
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40 ��Ã��
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42 ��Ã��
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44 �� Industrial Processes 1% N
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46 �Ã�� Non-industrial
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48 Table 3.1 NFR source categories
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50 (PLVVLRQ VRXUFH FDWHJRULHV In th
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52 Fuel consumption, PJ Fuel consum
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54 sumption in ,QGXVWU\ in 2009 add
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56 (PLVVLRQV 62� Stationary combu
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58 the reduced emission from electr
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60 NMVOC, Gg 25 20 15 10 5 0 1990 1
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62 The primary sources of PM emissi
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64 PM, Gg PM 2.5, Gg 30 25 20 15 10
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66 Table 3.11 Decrease in heavy met
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68 3$+ Stationary combustion plants
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70 Benzo(a)pyrene Benzo(a)pyrene, M
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72 plants has increased due to incr
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74 Fuel consumption, PJ SO2, Gg____
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As, Mg_____ Cd, Mg_____ Cr, Mg_____
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78 SO2, Gg____ NOx, Gg_____ Fuel co
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Page 84 and 85:
82 Fuel consumption, PJ 90 80 70 60
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84 As, Mg_____ 0.00 0.05 0.10 0.15
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86 Fuel consumption, PJ 1A4 Other S
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88 As, Mg Cd, Mg Cr, Mg Cu, Mg Hg,
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Page 94 and 95:
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94 software for inventories. The me
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96 Both traded and non-traded fuels
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98 ƒ Christiansen et al. (1997).
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100 The emission factors for decent
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102 Table 3.19 Danish uncertainty e
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104 Danish Energy Agency (DEA), 201
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106 Miljøstyrelsen (MST), 2010: An
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108 Table 3.20 SNAP - NFR correspon
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110 sumption development is due to
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112 these types of machinery, the D
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114 � � 5 4,5 4 3,5 3 2,5 2 1,5
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116 Table 3.22 Emissions of SO2, NO
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118 7RQQHV 600000 500000 400000 300
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120 7RQQHV 8000 7000 6000 5000 4000
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122 The TSP emission development fo
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124 Residential (1A4b) 0% Agr./for.
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126 Table 3.24 Heavy metal emission
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128 Navigation (1A3d) 79% Navigatio
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130 Table 3.25 Dioxin and PAH emiss
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132 Residential (1A4b) 2% Railways
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134 0HWKRGRORJLFDO LVVXHV The descr
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136 1200 1000 � � Ã � 800 Ã
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138 2000 � 1600 � Ã� Ã� 1
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140 Table 3.28 Overview of the exis
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142 8') 8 ⋅ 07& + 8 = , MTC < UMA
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144 (YDSRUDWLYH HPLVVLRQV IURP JDVR
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146 The final fuel use and emission
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148 Figure 3.87 Most frequent domes
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150 No. No. 30000 25000 20000 15000
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152 [No] 4500 4000 3500 3000 2500 2
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154 ��
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156 Table 3.30 Domestic ferry route
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158 national sea transport in the D
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160 Table 3.32 Overview of the EU E
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Table 3.35 Current certification li
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164 Table 3.37 Current legislation
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166 Table 3.38 Fuel based emission
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168 1RQ URDG ZRUNLQJ PDFKLQHU\ DQG
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170 ( = )& ⋅ () (27) where E = em
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172 tions, transport to Greenland a
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174 5RDG WUDQVSRUW The total mileag
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176 Delvig, P. 2010: Unpublished da
Page 180 and 181:
178 Winther, M. 2005: Kyoto notat -
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180 Table 3.41 Summary of the Danis
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182 2IIVKRUH DFWLYLWLHV Fugitive em
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184 Coal import, Gg . 16000 14000 1
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186 gasoline sales show an increase
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188 Venting in gas treatment and st
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190 and Kilde (1994) for the years
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192 Table 3.48 Emission factors for
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194 Table 3.54 Emissions of NMVOC f
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196 and initialisation of new facil
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198 Table 3.59 Estimated emission u
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200 Extraction of oil and gas: fugi
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202 OleQGU\ QVNL � ' EVNL % 6NR V
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204 Table 4.1 Survey of industrial
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206 Table 4.2 Time-series for pollu
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208 financial crises. During the sa
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210 1 1 1 1 1 0 0 0 0 0 &KHPLFDO LQ
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212 they have not been subject to t
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214 Denmark. The emission of TSP an
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Page 220 and 221:
218 2WKHU SURGXFWLRQ FRQVXPSWLRQ VW
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220 Nielsen, O.-K., Lyck, E., Mikke
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222 products is derived from Table
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224 kt NMVOC/year 60 50 40 30 20 10
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226 tained from the respective comp
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228 over several years so there wil
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230 8QFHUWDLQWLHV DQG WLPH VHULHV F
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232 powder consists of about 75 % o
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234 Passant et al. (2003) and Fyrve
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236 Table 5.9 Emission from firewor
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238 sumentfyrverkerier, Miljö Göt
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240 $JULFXOWXUH 1)5 VHFWRU 2YHUYLHZ
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242 Another important cause of the
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244 The emissions from agricultural
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246 Table 6.3 Livestock categories
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248 Table 6.4 Livestock production
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250 creasing. This is due to measur
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252 Table 6.7 Activity data used to
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254 Table 6.10 Activity data used t
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256 Table 6.13 Livestock categories
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258 Table 6.16 PM emission from hou
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260 swine production, etc to optimi
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262 ning, as given in the CLRTAP Em
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264 implemented NH3 reduction techn
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266 :DVWH 1)5 VHFWRU The waste sect
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268 0HWKRGRORJ\ +XPDQ FUHPDWLRQ The
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270 Even though the total number of
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272 statistic data show an increase
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274 an emission factor of 28 µg pr
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Page 280 and 281:
278 Table 7.9b Total national emiss
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280 Table 7.10a Total national emis
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282 Table 7.11 Estimated uncertaint
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284 Table 7.13 Overview of yearly s
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286 Data Processing level 1 1. Accu
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288 Data Storage level 2 The full d
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290 Date=06%2F30%2F2004&_sk=9994499
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292 Amount composted, Gg 1200 1000
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294 • 50 kg waste pr year will in
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296 Affaldsstatistik 2007 og 2008 (
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298 and 5 % of a large fire respect
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300 for fire-fighting and will typi
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302 Table 7.21 Different types of n
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304 Table 7.22 Average vehicle mass
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306 Table 7.23 Emission factors bui
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308 material estimated in Persson e
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310 Table 7.26 Emission factors veh
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Table 7.27a National emissions from
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314 Table 7.28b National emissions
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316 UNEP toolkit, 2005: United Nati
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318 4$ 4& DQG YHULILFDWLRQ 4$ 4& SU
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320 These references exist in the d
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322 Data Processing level 1 For the
Page 326 and 327: 324 2WKHU DQG QDWXUDO HPLVVLRQV Den
Page 328 and 329: 326 similar methodology was used fo
Page 330 and 331: 328 the localisation of the Danish
Page 332 and 333: 330 • The national energy statist
Page 334 and 335: 332 the Energy Statistics for 2009
Page 336 and 337: 334 $QQH[ ± �H\ FDWHJRU\ DQDO\VL
Page 338 and 339: 336 $QQH[ $ ,3&& 61$3 VRXUFH FRUUHV
Page 340 and 341: 338 $QQH[ $ )XHO UDWH Table 2A-2.1
Page 342 and 343: 340 Table 2A-2.2 Detailed fuel cons
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Page 356 and 357: 14. Danish Gas Technology Centre 20
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Page 370 and 371: Table 2A-4.5 HM emission factors (m
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Page 380 and 381: 378 Ã ÃÃ ÃÃ ÃÃ ÃÃ Benzo(a)
Page 382 and 383: Table 2A-4.9a PAH emission factors
Page 384 and 385: Table 2A-4.9b PAH emission factors
Page 386 and 387: Table 2A-4.10 Dioxin and HCB emissi
Page 388 and 389: Table 2A-4.11a Dioxin and HCB emiss
Page 390 and 391: Table 2A-4.12 NH3 emission factors
Page 392 and 393: $QQH[ $ /DUJH SRLQW VRXUFHV Table 2
Page 394 and 395: 02 MUNICIP. WASTES 44 STRAW 25 Hade
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Page 408 and 409: 406 • Monthly reporting by e-mail
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Page 420 and 421: 418 Data Processing level 1 3.Compl
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CH4 shares of VOC for diesel, gasol
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Annual working hours, load factors
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Operational data for the most impor
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Stock data for household and garden
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Stock data for small boats and plea
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Uncertainty estimation, NH3. 578 Ga
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Uncertainty estimation, Chromium. 5
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Uncertainty estimation, Lead. 582 G
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Uncertainty estimation, Flouranthen
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Uncertainty estimation, Benzo(g,h,i
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588 Table 2C.1a Nitrogen excretion
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590 (PLVVLRQ RI 1+ � +RXVLQJ The
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592 $QQH[ & %DFNJURXQG LQIRUPDWLRQ
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594 $QQH[ & %DFNJURXQG LQIRUPDWLRQ
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596 $QQH[ ± &RPSOHWHQHVV DQG XVH R
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598 Emissions from clinical, indust
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