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

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Uncertainty estimation, Lead. 582 Gas Base year emission Year t emission Activity data uncertainty Emission factor uncertainty Combined uncertainty Combined uncertainty as % of total national emissions in year t Type A sensitivity Type B sensitivity Uncertainty in trend in national emissions introduced by emission factor uncertainty Uncertainty in trend in national emissions introduced by activity data uncertainty Uncertainty introduced into the trend in total national emissions Input data Input data Input data Input data kg kg % % % % % % % % % Road Transportation Lead 101734 6179 2 1000 1000,002 838,937 -0,009834779 0,0595 -9,8347794 0,168195585 9,83621753 Other mobile sources Lead 2178 1186 10 1000 1000,050 161,073 0,009928985 0,0114 9,92898488 0,161456571 9,93029753 Total Lead 103911,57 7365,5456 729760,009 195,361984 Total uncertainties Year (%): 854,260 Trend (%): 13,977 Uncertainty estimation, Selenium. Gas Base year emission Year t emission Activity data uncertainty Emission factor uncertainty Combined uncertainty Combined uncertainty as % of total national emissions in year t Type A sensitivity Type B sensitivity Uncertainty in trend in national emissions introduced by emission factor uncertainty Uncertainty in trend in national emissions introduced by activity data uncertainty Input data Input data Input data Input data kg kg % % % % % % % % % Road Transportation Selenium 21 29 2 1000 1000,002 269,834 0,088190403 0,2255 88,1904029 0,637825013 88,1927093 Other mobile sources Selenium 107 78 10 1000 1000,050 730,203 -0,087602911 0,6102 -87,602911 8,629730211 88,0269401 Total Selenium 127,58811 106,62784 606006,687 15526,6962 Total uncertainties Year (%): 778,464 Trend (%): 124,606 Uncertainty introduced into the trend in total national emissions
Uncertainty estimation, Zinc. Gas Base year emission Year t emission Activity data uncertainty Emission factor uncertainty Combined uncertainty Combined uncertainty as % of total national emissions in year t Type A sensitivity Type B sensitivity Uncertainty in trend in national emissions introduced by emission factor uncertainty Uncertainty in trend in national emissions introduced by activity data uncertainty Uncertainty introduced into the trend in total national emissions Input data Input data Input data Input data kg kg % % % % % % % % % Road Transportation Zinc 18637 26024 2 1000 1000,002 940,846 0,02796886 1,2849 27,96886 3,634258409 28,2039884 Other mobile sources Zinc 1617 1636 10 1000 1000,050 59,159 -0,028203709 0,0808 -28,203709 1,142533486 28,2268418 Total Zinc 20253,261 27659,751 888690,315 1592,21956 Total uncertainties Year (%): 942,704 Trend (%): 39,903 Uncertainty estimation, Dioxins. Gas Base year emission Year t emission Activity data uncertainty Emission factor uncertainty Combined uncertainty Combined uncertainty as % of total national emissions in year t Type A sensitivity Type B sensitivity Uncertainty in trend in national emissions introduced by emission factor uncertainty Uncertainty in trend in national emissions introduced by activity data uncertainty Input data Input data Input data Input data g dioxins g dioxins % % % % % % % % % Road Transportation Dioxins 1 0 2 1000 1000,002 335,851 -0,125544272 0,0976 -125,54427 0,275927487 125,544576 Other mobile sources Dioxins 0 0 10 1000 1000,050 664,183 0,126224151 0,1929 126,224151 2,728259671 126,253633 Total Dioxins 1,1311908 0,3285795 553934,975 31701,4202 Total uncertainties Year (%): 744,268 Trend (%): 178,049 Uncertainty introduced into the trend in total national emissions 583
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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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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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412 $QQH[ $ 7LPH VHULHV Fuel consum
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Table 6.1 List of external data sou
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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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Operational data for the most impor
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Stock data for small boats and plea
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Page 580 and 581: Uncertainty estimation, NH3. 578 Ga
Page 582 and 583: Uncertainty estimation, Chromium. 5
Page 586 and 587: Uncertainty estimation, Flouranthen
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Page 600 and 601: 598 Emissions from clinical, indust
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