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

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270 Even though the total number of yearly cremations is fluctuating, the cremation percentage has been steadily increasing since 1984, and is likely to continue to increase. The average body weight of cremated corpses is assumed to be 65 kg. Figure 7.2 presents the trend of the national number of deceased persons together with the activity data for human cremation. The figure shows a direct connection between the number of deceased and the activity of human cremation as the two trends are quite similar. Figure 7.2 also shows the effect of the increasing fraction of cremated bodies, as the number of cremations is not decreasing along with the number of deceased. The cremation fraction has increased from 67 % in 1990 to 77 % in 2009; the trend of this fraction is shown in Figure 7.1. � � � Ã � � � � � � � � � 46000 44000 42000 40000 38000 36000 1� 34000 �� 32000 30000 65000 60000 55000 50000 45000 40000 35000 1980 1990 1982 1984 1986 1988 1990 1992 1994 1996 Cremations Cremation fraction Figure 7.1 Illustration of the development in cremations (DKL 2010), where the number of cremations, Ncremations, is shown at the left Y-axis. The cremation percentage, Fcremations, shows the percent of cremated deceased of the total deceased from the year 1984 to 2009. Data for 1980-1983 are estimated values. 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 ��Ã��Ã��Ã�� Ã��Ã�� Figure 7.2 Trends of the activity data for cremation of human corpses and the national number of deceased persons. $QLPDO FUHPDWLRQ Activity data for the incineration of animal carcasses are gathered directly from the pet crematoria. There is no national statistics available on the activity from these facilities. The precision of activity data therefore depends on the information provided by the crematoria. 1998 2000 2002 2004 2006 2008 2010 84 81 78 75 72 69 66 63 60 Ã � �� )� ��
The following Table 7.4 lists the four Danish pet crematoria, their foundation year and provides each crematorium with an id letter. Table 7.4 Animal crematoria I Denmark. Id Name of crematorium Founded in A Dansk Dyrekremering ApS May 2006 B Ada's Kæledyrskrematorium ApS Unknown, existed in more than 25 years, assumed 1980 C Kæledyrskrematoriet 2006 D Kæledyrskrematoriet v. Modtagestation - Vendsyssel I/S Crematoria D is situated at the AVV waste incineration site and the emission from this site is, as previously mentioned, included in the yearly inventory from AVV and consequently included under waste incineration in this report. From here on only crematoria A-C are considered. Table 7.5 lists the activity data for crematoria A, B, C and the total national cremated amount for the years 1980-2009. Table 7.5 Activity data, (direct contact with all Danish pet crematoria). 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 Crematorium A, Mg - - - - - - - - - - Crematorium B, Mg 50 60 70 80 90 100 110 120 130 140 Crematorium C, Mg - - - - - - - - - - Total, Mg 50 60 70 80 90 100 110 120 130 140 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 Crematorium A, Mg - - - - - - - - - - Crematorium B, Mg 150 160 170 180 190 200 210 220 235 368 Crematorium C, Mg - - - - - - - - - - Total, Mg 150 160 170 180 190 200 210 220 235 368 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Crematorium A, Mg - - - - - - 300 450 450 450 Crematorium B, Mg 443 452 451 462 571 762 798 802 848 853 Crematorium C, Mg - - - - - - 18 32 40 36 Total, Mg 443 452 451 462 571 762 1116 1284 1338 1339 Crematorium A delivered activity data for 2009 as the interval 400-500 Mg, the exact value is assumed to be the average of this interval and the rate is assumed to be constant back to the year 2006. The activity data for Crematoria A in 2006 is rated according to the founding of the site in May of this year. Crematorium B delivered exact yearly activity data for the years 1998- 2009. They were not certain about the founding year but have existed for more than 25 years. It is assumed that crematorium B was founded in January 1980. These activity data are shown as the thick line in Figure 7.2 and added a trendline and the equation of the trendline. It is not possible to extrapolate data back to 1980 because the activity, due to the steep trendline, in this case would become negative from 1993 and back in time. Statistic data describing the national consumption for pets including food and equipment for pets was evaluated as surrogate data. These 271
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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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216 Table 4.3 Emission factors for
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218 2WKHU SURGXFWLRQ FRQVXPSWLRQ VW
Page 222 and 223: 220 Nielsen, O.-K., Lyck, E., Mikke
Page 224 and 225: 222 products is derived from Table
Page 226 and 227: 224 kt NMVOC/year 60 50 40 30 20 10
Page 228 and 229: 226 tained from the respective comp
Page 230 and 231: 228 over several years so there wil
Page 232 and 233: 230 8QFHUWDLQWLHV DQG WLPH VHULHV F
Page 234 and 235: 232 powder consists of about 75 % o
Page 236 and 237: 234 Passant et al. (2003) and Fyrve
Page 238 and 239: 236 Table 5.9 Emission from firewor
Page 240 and 241: 238 sumentfyrverkerier, Miljö Göt
Page 242 and 243: 240 $JULFXOWXUH 1)5 VHFWRU 2YHUYLHZ
Page 244 and 245: 242 Another important cause of the
Page 246 and 247: 244 The emissions from agricultural
Page 248 and 249: 246 Table 6.3 Livestock categories
Page 250 and 251: 248 Table 6.4 Livestock production
Page 252 and 253: 250 creasing. This is due to measur
Page 254 and 255: 252 Table 6.7 Activity data used to
Page 256 and 257: 254 Table 6.10 Activity data used t
Page 258 and 259: 256 Table 6.13 Livestock categories
Page 260 and 261: 258 Table 6.16 PM emission from hou
Page 262 and 263: 260 swine production, etc to optimi
Page 264 and 265: 262 ning, as given in the CLRTAP Em
Page 266 and 267: 264 implemented NH3 reduction techn
Page 268 and 269: 266 :DVWH 1)5 VHFWRU The waste sect
Page 270 and 271: 268 0HWKRGRORJ\ +XPDQ FUHPDWLRQ The
Page 274 and 275: 272 statistic data show an increase
Page 276 and 277: 274 an emission factor of 28 µg pr
Page 278 and 279: 276 Table 7.8 Emission factors for
Page 280 and 281: 278 Table 7.9b Total national emiss
Page 282 and 283: 280 Table 7.10a Total national emis
Page 284 and 285: 282 Table 7.11 Estimated uncertaint
Page 286 and 287: 284 Table 7.13 Overview of yearly s
Page 288 and 289: 286 Data Processing level 1 1. Accu
Page 290 and 291: 288 Data Storage level 2 The full d
Page 292 and 293: 290 Date=06%2F30%2F2004&_sk=9994499
Page 294 and 295: 292 Amount composted, Gg 1200 1000
Page 296 and 297: 294 • 50 kg waste pr year will in
Page 298 and 299: 296 Affaldsstatistik 2007 og 2008 (
Page 300 and 301: 298 and 5 % of a large fire respect
Page 302 and 303: 300 for fire-fighting and will typi
Page 304 and 305: 302 Table 7.21 Different types of n
Page 306 and 307: 304 Table 7.22 Average vehicle mass
Page 308 and 309: 306 Table 7.23 Emission factors bui
Page 310 and 311: 308 material estimated in Persson e
Page 312 and 313: 310 Table 7.26 Emission factors veh
Page 314 and 315: Table 7.27a National emissions from
Page 316 and 317: 314 Table 7.28b National emissions
Page 318 and 319: 316 UNEP toolkit, 2005: United Nati
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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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Basis factors for 2-stroke gasoline
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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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��Ã Size
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��Ã Size
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��Ã Size
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��Ã Equip
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��Ã Equip
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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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Ferry data: Sailing time (single tr
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$QQH[ % 8QFHUWDLQW\ HVWLPDWHV Uncer
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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
Page 590 and 591:
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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NERI DMU National Environmental Res
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