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

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��Ã Sec<strong>to</strong>r ForecastYear FCu (MJ) FCr (MJ) FCh (MJ) CO2u CO2r CO2h CH4u CH4r CH4h N2Ou N2Or N2Oh SO2u SO2r SO2h NOxu NOxr NOxh Light Duty Vehicles 1994 3,981 2,783 2,979 294 205 220 0,051 0,017 0,011 0,002 0,001 0,001 0,077 0,056 0,061 2,049 1,233 1,272 Light Duty Vehicles 1995 3,976 2,768 2,962 293 204 219 0,049 0,016 0,010 0,002 0,001 0,001 0,077 0,055 0,061 1,993 1,202 1,241 Light Duty Vehicles 1996 3,978 2,737 2,931 294 202 216 0,044 0,015 0,009 0,003 0,002 0,002 0,077 0,055 0,060 1,900 1,150 1,189 Light Duty Vehicles 1997 3,894 2,707 2,899 287 200 214 0,039 0,014 0,009 0,003 0,003 0,002 0,076 0,055 0,060 1,763 1,107 1,147 Light Duty Vehicles 1998 3,873 2,682 2,870 286 198 212 0,036 0,014 0,008 0,004 0,003 0,003 0,075 0,054 0,059 1,669 1,073 1,114 Light Duty Vehicles 1999 3,834 2,659 2,845 283 196 210 0,032 0,012 0,007 0,005 0,004 0,003 0,042 0,030 0,032 1,575 1,040 1,082 Light Duty Vehicles 2000 3,803 2,640 2,823 281 195 208 0,028 0,011 0,006 0,006 0,005 0,004 0,009 0,006 0,007 1,499 1,018 1,061 Light Duty Vehicles 2001 3,820 2,623 2,804 282 194 207 0,025 0,010 0,006 0,006 0,005 0,004 0,009 0,006 0,007 1,453 0,997 1,041 Light Duty Vehicles 2002 3,778 2,609 2,789 279 193 206 0,022 0,009 0,005 0,007 0,005 0,005 0,009 0,006 0,007 1,357 0,955 0,998 Light Duty Vehicles 2003 3,767 2,594 2,777 278 192 205 0,019 0,007 0,004 0,008 0,005 0,005 0,009 0,006 0,006 1,264 0,896 0,938 Light Duty Vehicles 2004 3,699 2,581 2,766 273 191 204 0,016 0,006 0,003 0,009 0,005 0,004 0,009 0,006 0,006 1,149 0,837 0,876 Light Duty Vehicles 2005 3,723 2,571 2,757 275 190 204 0,013 0,004 0,003 0,010 0,005 0,004 0,002 0,001 0,001 1,073 0,779 0,817 Light Duty Vehicles 2006 3,693 2,561 2,749 273 189 203 0,011 0,003 0,002 0,011 0,005 0,004 0,002 0,001 0,001 0,996 0,732 0,768 Light Duty Vehicles 2007 3,648 2,547 2,744 269 188 203 0,009 0,003 0,002 0,011 0,004 0,004 0,002 0,001 0,001 0,918 0,680 0,713 Light Duty Vehicles 2008 3,664 2,543 2,741 271 188 202 0,008 0,002 0,001 0,011 0,004 0,004 0,002 0,001 0,001 0,833 0,614 0,644 Light Duty Vehicles 2009 3,658 2,541 2,739 270 187 202 0,007 0,002 0,001 0,012 0,004 0,004 0,002 0,001 0,001 0,782 0,577 0,606 Heavy Duty Vehicles 1985 13,634 10,397 9,631 1009 769 713 0,153 0,066 0,058 0,030 0,030 0,030 3,181 2,427 2,247 13,431 10,825 9,874 Heavy Duty Vehicles 1986 13,736 10,467 9,685 1016 775 717 0,154 0,067 0,059 0,030 0,030 0,030 1,924 1,467 1,356 13,531 10,890 9,921 Heavy Duty Vehicles 1987 13,819 10,523 9,729 1023 779 720 0,155 0,067 0,059 0,030 0,030 0,030 1,936 1,475 1,363 13,610 10,943 9,958 Heavy Duty Vehicles 1988 13,987 10,639 9,818 1035 787 726 0,156 0,068 0,060 0,030 0,030 0,030 1,960 1,491 1,375 13,779 11,058 10,038 Heavy Duty Vehicles 1989 14,045 10,679 9,848 1039 790 729 0,157 0,069 0,060 0,030 0,030 0,030 1,312 0,998 0,920 13,837 11,096 10,065 Heavy Duty Vehicles 1990 14,344 10,882 10,005 1061 805 740 0,159 0,070 0,061 0,030 0,030 0,030 1,340 1,017 0,935 14,122 11,288 10,197 Heavy Duty Vehicles 1991 14,327 10,871 9,996 1060 804 740 0,159 0,070 0,061 0,030 0,030 0,030 1,339 1,016 0,934 14,114 11,284 10,193 Heavy Duty Vehicles 1992 14,488 10,980 10,081 1072 813 746 0,160 0,071 0,062 0,030 0,030 0,030 0,880 0,667 0,612 14,264 11,385 10,266 Heavy Duty Vehicles 1993 14,732 11,145 10,206 1090 825 755 0,162 0,072 0,063 0,030 0,030 0,030 0,344 0,261 0,238 14,463 11,513 10,344 Heavy Duty Vehicles 1994 14,697 11,120 10,174 1088 823 753 0,163 0,072 0,063 0,030 0,030 0,030 0,344 0,260 0,238 14,231 11,315 10,152 Heavy Duty Vehicles 1995 14,348 10,880 9,965 1062 805 737 0,162 0,072 0,063 0,030 0,030 0,030 0,335 0,254 0,233 13,495 10,741 9,653 Heavy Duty Vehicles 1996 14,310 10,850 9,915 1059 803 734 0,163 0,073 0,064 0,030 0,030 0,030 0,335 0,254 0,232 13,020 10,335 9,260 Heavy Duty Vehicles 1997 14,147 10,740 9,804 1047 795 725 0,157 0,072 0,064 0,030 0,030 0,030 0,331 0,251 0,229 12,584 9,967 8,911 Heavy Duty Vehicles 1998 13,896 10,576 9,654 1028 783 714 0,147 0,071 0,063 0,030 0,030 0,030 0,325 0,247 0,226 12,200 9,650 8,623 Heavy Duty Vehicles 1999 13,741 10,476 9,556 1017 775 707 0,139 0,070 0,063 0,030 0,030 0,030 0,177 0,135 0,123 11,930 9,417 8,398 Heavy Duty Vehicles 2000 13,777 10,509 9,567 1019 778 708 0,132 0,069 0,062 0,030 0,030 0,030 0,032 0,025 0,022 11,851 9,330 8,298 Heavy Duty Vehicles 2001 13,743 10,500 9,555 1017 777 707 0,124 0,068 0,062 0,030 0,030 0,030 0,032 0,025 0,022 11,571 9,101 8,093 Heavy Duty Vehicles 2002 13,921 10,615 9,630 1030 786 713 0,119 0,068 0,061 0,030 0,030 0,030 0,033 0,025 0,023 11,328 8,880 7,870 Heavy Duty Vehicles 2003 13,997 10,661 9,656 1036 789 715 0,113 0,068 0,061 0,030 0,030 0,030 0,033 0,025 0,023 10,954 8,567 7,585 Heavy Duty Vehicles 2004 14,023 10,673 9,661 1038 790 715 0,109 0,068 0,061 0,030 0,030 0,030 0,033 0,025 0,023 10,603 8,280 7,331 462
��Ã Sec<strong>to</strong>r ForecastYear FCu (MJ) FCr (MJ) FCh (MJ) CO2u CO2r CO2h CH4u CH4r CH4h N2Ou N2Or N2Oh SO2u SO2r SO2h NOxu NOxr NOxh Heavy Duty Vehicles 2005 14,262 10,833 9,778 1055 802 724 0,106 0,069 0,061 0,030 0,030 0,030 0,007 0,005 0,005 10,387 8,085 7,143 Heavy Duty Vehicles 2006 14,296 10,850 9,789 1058 803 724 0,101 0,068 0,060 0,030 0,030 0,030 0,007 0,005 0,005 10,023 7,791 6,887 Heavy Duty Vehicles 2007 14,234 10,793 9,729 1053 799 720 0,087 0,060 0,052 0,030 0,030 0,030 0,007 0,005 0,005 9,295 7,219 6,389 Heavy Duty Vehicles 2008 13,948 10,554 9,492 1032 781 702 0,068 0,047 0,041 0,029 0,029 0,029 0,007 0,005 0,004 8,204 6,360 5,635 Heavy Duty Vehicles 2009 14,105 10,657 9,565 1042 787 707 0,054 0,039 0,033 0,030 0,030 0,030 0,007 0,005 0,004 7,569 5,860 5,201 Buses 1985 13,264 9,858 8,936 981 729 661 0,174 0,081 0,070 0,029 0,029 0,029 3,057 2,258 2,006 13,431 10,515 9,565 Buses 1986 13,269 9,864 8,940 982 730 661 0,174 0,081 0,070 0,030 0,029 0,029 1,837 1,358 1,208 13,439 10,517 9,567 Buses 1987 13,271 9,868 8,944 982 730 662 0,174 0,081 0,070 0,030 0,029 0,029 1,838 1,359 1,209 13,449 10,527 9,578 Buses 1988 13,273 9,875 8,951 982 731 662 0,174 0,081 0,070 0,030 0,029 0,029 1,839 1,360 1,211 13,466 10,544 9,595 Buses 1989 13,276 9,879 8,954 982 731 662 0,174 0,081 0,070 0,030 0,029 0,029 1,227 0,908 0,809 13,472 10,545 9,596 Buses 1990 13,273 9,868 8,943 982 730 661 0,174 0,081 0,070 0,030 0,029 0,029 1,226 0,907 0,807 13,445 10,516 9,567 Buses 1991 13,271 9,865 8,941 982 730 661 0,174 0,081 0,070 0,030 0,029 0,029 1,226 0,906 0,806 13,440 10,513 9,563 Buses 1992 13,265 9,856 8,933 981 729 661 0,174 0,081 0,070 0,029 0,029 0,029 0,795 0,588 0,522 13,424 10,503 9,554 Buses 1993 13,261 9,847 8,925 981 728 660 0,174 0,081 0,070 0,029 0,029 0,029 0,306 0,226 0,201 13,404 10,486 9,536 Buses 1994 13,126 9,751 8,853 971 721 655 0,174 0,081 0,070 0,029 0,029 0,029 0,302 0,223 0,198 13,029 10,223 9,321 Buses 1995 12,931 9,598 8,738 957 710 646 0,174 0,081 0,070 0,029 0,029 0,028 0,296 0,218 0,194 12,431 9,774 8,956 Buses 1996 12,777 9,483 8,650 945 701 640 0,174 0,081 0,070 0,029 0,029 0,028 0,292 0,215 0,192 11,939 9,404 8,658 Buses 1997 12,600 9,381 8,576 932 694 634 0,171 0,080 0,069 0,029 0,029 0,028 0,288 0,213 0,191 11,571 9,132 8,436 Buses 1998 12,327 9,238 8,488 912 683 628 0,163 0,077 0,067 0,029 0,029 0,028 0,282 0,210 0,189 11,183 8,856 8,239 Buses 1999 12,079 9,113 8,414 894 674 622 0,156 0,074 0,064 0,029 0,029 0,029 0,152 0,114 0,104 10,801 8,585 8,046 Buses 2000 11,977 9,065 8,377 886 671 619 0,150 0,071 0,062 0,029 0,029 0,029 0,028 0,021 0,020 10,591 8,421 7,908 Buses 2001 11,964 9,064 8,366 885 670 619 0,146 0,069 0,061 0,029 0,029 0,029 0,028 0,021 0,020 10,484 8,328 7,815 Buses 2002 11,964 9,076 8,369 885 671 619 0,141 0,067 0,059 0,029 0,029 0,029 0,028 0,021 0,020 10,229 8,110 7,618 Buses 2003 11,970 9,098 8,386 886 673 620 0,135 0,064 0,057 0,029 0,029 0,029 0,028 0,021 0,020 9,956 7,855 7,377 Buses 2004 12,009 9,128 8,404 888 675 622 0,131 0,062 0,055 0,029 0,029 0,029 0,028 0,021 0,020 9,765 7,662 7,179 Buses 2005 11,991 9,131 8,409 887 675 622 0,127 0,060 0,053 0,029 0,029 0,029 0,006 0,004 0,004 9,563 7,464 6,975 Buses 2006 12,002 9,147 8,422 888 677 623 0,123 0,058 0,052 0,030 0,029 0,029 0,006 0,004 0,004 9,385 7,282 6,787 Buses 2007 12,013 9,157 8,428 889 677 623 0,115 0,055 0,049 0,030 0,029 0,029 0,006 0,004 0,004 9,085 7,030 6,546 Buses 2008 11,954 9,117 8,399 884 674 621 0,102 0,049 0,044 0,030 0,029 0,029 0,006 0,004 0,004 8,554 6,633 6,196 Buses 2009 11,919 9,091 8,379 881 672 619 0,086 0,042 0,039 0,030 0,029 0,029 0,006 0,004 0,004 7,998 6,219 5,827 Mopeds 1985 1,095 1,095 80 80 0,219 0,219 0,001 0,001 0,003 0,003 0,020 0,020 Mopeds 1986 1,095 1,095 80 80 0,219 0,219 0,001 0,001 0,003 0,003 0,020 0,020 Mopeds 1987 1,095 1,095 80 80 0,219 0,219 0,001 0,001 0,003 0,003 0,020 0,020 Mopeds 1988 1,095 1,095 80 80 0,219 0,219 0,001 0,001 0,003 0,003 0,020 0,020 Mopeds 1989 1,095 1,095 80 80 0,219 0,219 0,001 0,001 0,003 0,003 0,020 0,020 Mopeds 1990 1,095 1,095 80 80 0,219 0,219 0,001 0,001 0,003 0,003 0,020 0,020 463
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
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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��
Page 44 and 45:
42 ��Ã��
Page 46 and 47:
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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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
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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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Table 56 Time-series for calorific
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$QQH[ $ (PLVVLRQ IDFWRUV Table 2A-4
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14. Danish Gas Technology Centre 20
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pollutant fuel_type fuel nfr nfr_na
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Table 2A-4.4a PM emission factors,
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Table 2A-4.5 HM emission factors (m
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378 Ã ÃÃ ÃÃ ÃÃ ÃÃ Benzo(a)
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Table 2A-4.9a PAH emission factors
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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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$QQH[ $ /DUJH SRLQW VRXUFHV Table 2
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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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398 ��Ã S
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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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Page 480 and 481: Basis factors for 2-stroke gasoline
Page 482 and 483: CH4 shares of VOC for diesel, gasol
Page 484 and 485: Annual working hours, load factors
Page 486 and 487: Operational data for the most impor
Page 488 and 489: ��Ã Size
Page 496 and 497: ��Ã FuelC
Page 498 and 499: ��Ã Equip
Page 500 and 501: ��Ã Equip
Page 502 and 503: Stock data for household and garden
Page 504 and 505: ��Ã SNAP
Page 506 and 507: Stock data for small boats and plea
Page 508 and 509: $QQH[ % 7UDIILF GDWD DQG GLIIHUHQW
Page 510 and 511: ��Ã Ferry
Page 512 and 513: Ferry data: Sailing time (single tr
Page 514 and 515:
��Ã Ferry
Page 516 and 517:
��Ã Ferry
Page 518 and 519:
��Ã Ferry
Page 520 and 521:
��Ã High
Page 522 and 523:
��Ã High
Page 524 and 525:
��Ã 522 H
Page 526 and 527:
��Ã Fuel
Page 528 and 529:
��Ã 1985
Page 530 and 531:
��Ã 1985
Page 532 and 533:
��Ã 2000
Page 534 and 535:
�� SNAP ID
Page 536 and 537:
��Ã Year
Page 538 and 539:
�� SNAP ID
Page 540 and 541:
��Ã Year
Page 542 and 543:
Year Source Category TSP PM10 PM2.5
Page 544 and 545:
�� SNAP ID
Page 546 and 547:
�� SNAP ID
Page 548 and 549:
��Ã SNAP
Page 550 and 551:
��Ã 548 S
Page 552 and 553:
��Ã 550 S
Page 554 and 555:
��Ã 552 S
Page 556 and 557:
��Ã 554 S
Page 558 and 559:
��Ã 556 S
Page 560 and 561:
Emissions pol_name IPCC ID Unit 198
Page 562 and 563:
��Ã pol_n
Page 564 and 565:
��Ã pol_n
Page 566 and 567:
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Page 568 and 569:
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Page 570 and 571:
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Page 572 and 573:
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Page 574 and 575:
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Page 576 and 577:
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Page 578 and 579:
$QQH[ % 8QFHUWDLQW\ HVWLPDWHV Uncer
Page 580 and 581:
Uncertainty estimation, NH3. 578 Ga
Page 582 and 583:
Uncertainty estimation, Chromium. 5
Page 584 and 585:
Uncertainty estimation, Lead. 582 G
Page 586 and 587:
Uncertainty estimation, Flouranthen
Page 588 and 589:
Uncertainty estimation, Benzo(g,h,i
Page 590 and 591:
588 Table 2C.1a Nitrogen excretion
Page 592 and 593:
590 (PLVVLRQ RI 1+ � +RXVLQJ The
Page 594 and 595:
592 $QQH[ & %DFNJURXQG LQIRUPDWLRQ
Page 596 and 597:
594 $QQH[ & %DFNJURXQG LQIRUPDWLRQ
Page 598 and 599:
596 $QQH[ ± &RPSOHWHQHVV DQG XVH R
Page 600 and 601:
598 Emissions from clinical, indust
Page 602 and 603:
NERI DMU National Environmental Res
Page 604 and 605:
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Annual Danish informative inventory report to UNECE. Emission ...

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