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

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��Ã 550 SNAP ID Category Fuel type Dioxins/ Flouranthene Benzo(b) Benzo(k) Benzo(a) Benzo(g,h,i) indeno(1,2,3-c,d) �Ã��Ã�� mg pr GJ mg pr GJ mg pr GJ mg pr GJ mg pr GJ mg pr GJ 1990 080300 Inland waterways Diesel 0,001 4,391 0,571 0,568 0,290 0,550 0,290 1990 080300 Inland waterways Gasoline 0,005 4,329 0,209 0,071 0,114 0,689 0,245 1990 080402 National sea traffic Diesel 0,012 7,420 0,640 0,300 0,150 1,430 1,180 1990 080402 National sea traffic Kerosene 0,000 0,000 0,000 0,000 0,000 0,000 0,000 1990 080402 National sea traffic LPG 0,000 0,000 0,000 0,000 0,000 0,000 0,000 1990 080402 National sea traffic Residual oil 0,013 5,190 0,270 0,050 0,020 0,070 0,030 1990 080403 Fishing Diesel 0,012 7,420 0,640 0,300 0,150 1,430 1,180 1990 080403 Fishing Kerosene 0,000 0,000 0,000 0,000 0,000 0,000 0,000 1990 080403 Fishing LPG 0,000 0,000 0,000 0,000 0,000 0,000 0,000 1990 080404 International sea traffic Diesel 0,012 7,420 0,640 0,300 0,150 1,430 1,180 1990 080404 International sea traffic Residual oil 0,013 4,120 0,200 0,090 0,070 0,260 0,200 1990 080501 Air traffic, Dom. < 3000 ft. AvGas 0,005 4,329 0,209 0,071 0,114 0,689 0,245 1990 080501 Air traffic, Dom. < 3000 ft. Jet fuel 0,000 0,000 0,000 0,000 0,000 0,000 0,000 1990 080502 Air traffic, Int. < 3000 ft. AvGas 0,005 4,329 0,209 0,071 0,114 0,689 0,245 1990 080502 Air traffic, Int. < 3000 ft. Jet fuel 0,000 0,000 0,000 0,000 0,000 0,000 0,000 1990 080503 Air traffic, Dom. > 3000 ft. Jet fuel 0,000 0,000 0,000 0,000 0,000 0,000 0,000 1990 080504 Air traffic, Int. > 3000 ft. Jet fuel 0,000 0,000 0,000 0,000 0,000 0,000 0,000 1990 080600 Agriculture Diesel 0,001 4,391 0,571 0,568 0,290 0,550 0,290 1990 080600 Agriculture Gasoline 0,005 4,329 0,209 0,071 0,114 0,689 0,245 1990 080700 Forestry Diesel 0,001 4,391 0,571 0,568 0,290 0,550 0,290 1990 080700 Forestry Gasoline 0,005 4,329 0,209 0,071 0,114 0,689 0,245 1990 080800 Industry Diesel 0,001 4,391 0,571 0,568 0,290 0,550 0,290 1990 080800 Industry Gasoline 0,005 4,329 0,209 0,071 0,114 0,689 0,245 1990 080800 Industry LPG 0,000 0,000 0,000 0,000 0,000 0,000 0,000 1990 080900 Household and gardening Gasoline 0,005 4,329 0,209 0,071 0,114 0,689 0,245 1990 081100 Commercial and institutional Gasoline 0,005 4,329 0,209 0,071 0,114 0,689 0,245 1990 080501 Air traffic, Dom. < 3000 ft. AvGas 0,005 4,329 0,209 0,071 0,114 0,689 0,245 1990 080501 Air traffic, Dom. < 3000 ft. Jet fuel 0,000 0,000 0,000 0,000 0,000 0,000 0,000 1990 080502 Air traffic, Int. < 3000 ft. AvGas 0,005 4,329 0,209 0,071 0,114 0,689 0,245 1990 080502 Air traffic, Int. < 3000 ft. Jet fuel 0,000 0,000 0,000 0,000 0,000 0,000 0,000 1990 080503 Air traffic, Dom. > 3000 ft. Jet fuel 0,000 0,000 0,000 0,000 0,000 0,000 0,000 1990 080504 Air traffic, Int. > 3000 ft. Jet fuel 0,000 0,000 0,000 0,000 0,000 0,000 0,000
��Ã SNAP ID Category Fuel type Dioxins/ Flouranthene Benzo(b) Benzo(k) Benzo(a) Benzo(g,h,i) indeno(1,2,3-c,d) microg pr GJ mg pr GJ mg pr GJ mg pr GJ mg pr GJ mg pr GJ mg pr GJ 2009 070101 Passenger cars Highway Diesel 0,000 12,815 0,782 0,709 0,856 1,663 0,807 2009 070101 Passenger cars Highway Gasoline 0,000 1,092 0,206 0,251 0,204 0,412 0,298 2009 070101 Passenger cars Highway LPG 0,000 0,000 0,000 0,000 0,000 0,000 0,000 2009 070102 Passenger cars Rural Diesel 0,001 14,593 0,891 0,807 0,975 1,894 0,919 2009 070102 Passenger cars Rural Gasoline 0,000 1,208 0,230 0,279 0,227 0,459 0,333 2009 070102 Passenger cars Rural LPG 0,000 0,000 0,000 0,000 0,000 0,000 0,000 2009 070103 Passenger cars Urban Diesel 0,001 9,684 0,591 0,536 0,647 1,257 0,610 2009 070103 Passenger cars Urban Gasoline 0,000 0,692 0,127 0,154 0,125 0,255 0,183 2009 070103 Passenger cars Urban LPG 0,000 0,000 0,000 0,000 0,000 0,000 0,000 2009 070201 Light duty vehicles Highway Diesel 0,001 9,234 0,564 0,511 0,617 1,198 0,581 2009 070201 Light duty vehicles Highway Gasoline 0,001 1,041 0,159 0,185 0,155 0,319 0,217 2009 070201 Light duty vehicles Highway LPG 0,000 0,000 0,000 0,000 0,000 0,000 0,000 2009 070202 Light duty vehicles Rural Diesel 0,001 10,103 0,617 0,559 0,675 1,311 0,636 2009 070202 Light duty vehicles Rural Gasoline 0,001 0,983 0,150 0,175 0,146 0,301 0,205 2009 070202 Light duty vehicles Rural LPG 0,000 0,000 0,000 0,000 0,000 0,000 0,000 2009 070203 Light duty vehicles Urban Diesel 0,000 7,261 0,443 0,402 0,485 0,942 0,457 2009 070203 Light duty vehicles Urban Gasoline 0,000 0,568 0,087 0,101 0,084 0,174 0,118 2009 070203 Light duty vehicles Urban LPG 0,000 0,000 0,000 0,000 0,000 0,000 0,000 2009 070301 Heavy duty vehicles Highway Diesel 0,001 2,030 0,512 0,759 0,095 0,076 0,133 2009 070301 Heavy duty vehicles Highway Gasoline 0,000 0,000 0,000 0,000 0,000 0,000 0,000 2009 070302 Heavy duty vehicles Rural Diesel 0,001 2,066 0,521 0,772 0,096 0,077 0,135 2009 070302 Heavy duty vehicles Rural Gasoline 0,000 0,000 0,000 0,000 0,000 0,000 0,000 2009 070303 Heavy duty vehicles Urban Diesel 0,001 1,676 0,423 0,626 0,078 0,063 0,110 2009 070303 Heavy duty vehicles Urban Gasoline 0,000 0,000 0,000 0,000 0,000 0,000 0,000 2009 070400 Mopeds Urban Gasoline 0,000 0,000 0,000 0,000 0,000 0,000 0,000 2009 070501 Motorcycles Highway Gasoline 0,020 12,799 0,832 0,640 0,704 1,664 0,640 2009 070502 Motorcycles Rural Gasoline 0,024 15,331 0,996 0,766 0,843 1,993 0,766 2009 070503 Motorcycles Urban Gasoline 0,024 15,500 1,007 0,775 0,852 2,015 0,775 2009 080100 Military AvGas 0,005 4,329 0,209 0,071 0,114 0,689 0,245 2009 080100 Military Diesel 0,001 4,350 0,510 0,496 0,256 0,464 0,264 2009 080100 Military Gasoline 0,007 2,152 0,180 0,115 0,118 0,358 0,179 2009 080100 Military Jet fuel 0,000 0,000 0,000 0,000 0,000 0,000 0,000 2009 080200 Railways Diesel 0,001 1,411 0,360 0,402 0,059 0,051 0,092 2009 080300 Inland waterways Diesel 0,001 4,350 0,510 0,496 0,256 0,464 0,264 551
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ANNUAL DANISH INfORMATIVE INVENTORY
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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
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10 reduced emissions is mainly incr
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12 Danish energy statistics have, f
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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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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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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
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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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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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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
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324 2WKHU DQG QDWXUDO HPLVVLRQV Den
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326 similar methodology was used fo
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328 the localisation of the Danish
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330 • The national energy statist
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332 the Energy Statistics for 2009
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334 $QQH[ ± �H\ FDWHJRU\ DQDO\VL
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336 $QQH[ $ ,3&& 61$3 VRXUFH FRUUHV
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338 $QQH[ $ )XHO UDWH Table 2A-2.1
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340 Table 2A-2.2 Detailed fuel cons
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342 ��Ã
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344 ��Ã
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346 ��Ã
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348 ��Ã
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378 Ã ÃÃ ÃÃ ÃÃ ÃÃ Benzo(a)
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Table 2A-4.9b PAH emission factors
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Table 2A-4.10 Dioxin and HCB emissi
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Table 2A-4.11a Dioxin and HCB emiss
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Table 2A-4.12 NH3 emission factors
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02 MUNICIP. WASTES 44 STRAW 25 Hade
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396 national emissions in year t du
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400 ��Ã S
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402 ��Ã S
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406 • Monthly reporting by e-mail
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408 ��Ã��Ã �
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410 ��Ã��Ã �
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412 $QQH[ $ 7LPH VHULHV Fuel consum
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416 however, included in the refere
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418 Data Processing level 1 3.Compl
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420 Some automated checks have been
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